<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJU</journal-id><journal-title-group><journal-title>Open Journal of Urology</journal-title></journal-title-group><issn pub-type="epub">2160-5440</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oju.2021.116018</article-id><article-id pub-id-type="publisher-id">OJU-109857</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Eating Habits among Lithiasic Patients in Kinshasa, the Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pablo</surname><given-names>Kuntima Diasiama Diangienda</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dieudonné</surname><given-names>Molamba Moningo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alain</surname><given-names>Ngoma Mayindu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean-Robert</surname><given-names>Rissasy Makulo</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ernest</surname><given-names>Kiswaya Sumaili</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eric</surname><given-names>Musalu Mafuta</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mathieu</surname><given-names>Nkumu Loposso</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Augustin</surname><given-names>M. L. Punga-Maole</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Simon</surname><given-names>Lwa Nkandi Lufuma</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean-Philippe</surname><given-names>Haymann</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michel</surname><given-names>Daudon</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Clinical Biology, University Hospital of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff5"><addr-line>Department of Functional Investigations, Tenon Hospital, Paris, France</addr-line></aff><aff id="aff3"><addr-line>Department of Nephrology, University Hospital of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff4"><addr-line>School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff1"><addr-line>Department of Urology, University Hospital of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><pub-date pub-type="epub"><day>03</day><month>06</month><year>2021</year></pub-date><volume>11</volume><issue>06</issue><fpage>200</fpage><lpage>213</lpage><history><date date-type="received"><day>25,</day>	<month>April</month>	<year>2021</year></date><date date-type="rev-recd"><day>13,</day>	<month>June</month>	<year>2021</year>	</date><date date-type="accepted"><day>16,</day>	<month>June</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <em>Introduction</em>: Worldwide, the incidence of kidney stones has been progressively increasing. Various factors can influence the risk of stone formation, including lifestyle and eating habits. The dietary investigation is a standard of care in patients with urolithiasis. The objectives of this study were to determine the dietary habits of lithiasis patients in the city of Kinshasa and to investigate the association between dietary habits and the composition of the stones. 
  <em>Material and Methods</em>: From January 2017 to September 2019, 85 patients attending 8 hospitals participated in the nutrition survey. Various foods commonly consumed in the Democratic Republic of Congo were categorized based on their composition: foods rich in animal proteins, foods rich in calcium, foods high in sugar, foods high in oxalate, and various vegetables and fruits. We also investigated daily water intake. The composition of the collected stones was analyzed by infrared spectrophotometry. 
  <em>Results</em>: The mean (SD) age of patients was 47.1 (14.0) years, 63.5% of patients were males, 75.3% of the patients had stones located in the upper urinary tract, and 7.1% were undernourished. Most of patients consumed vegetables (77.6%), animal proteins (62.4%), and foods rich in oxalate (58.8%). The daily water intake was less than 1500 mL in more than half of the patients (68.2%). Major anhydrous uric acid stones were associated with a high body mass index (p = 0.025). Male patients with a high oxalate diet had more calcium oxalate stones (64.3%) compared to other types of stones (p = 0.041). 
  <em>Conclusion</em>: High consumptions of vegetables and low water intake were linked to the formation of calcium oxalate monohydrate stones. More data are needed to confirm these findings.
 
</p></abstract><kwd-group><kwd>Urolithiasis</kwd><kwd> Dietary Abnormality</kwd><kwd> Insufficient Diuresis</kwd><kwd> Chemical Composition</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Urolithiasis is a common health problem with a multifactorial etiology arising from the interaction of various factors including metabolic, genetic, and environmental [<xref ref-type="bibr" rid="scirp.109857-ref1">1</xref>]. Calcium oxalate accounts for the majority of kidney stones [<xref ref-type="bibr" rid="scirp.109857-ref2">2</xref>]. Over the last decades, urolithiasis incidence has been increasing worldwide at an alarming rate [<xref ref-type="bibr" rid="scirp.109857-ref3">3</xref>]. Several factors such as age, gender, race, nutrition, daily water intake, climate, geography, physical activity and Body Mass Index (BMI) play a key role in urolithiasis pathogenesis [<xref ref-type="bibr" rid="scirp.109857-ref4">4</xref>]. Early studies showed that nutrition contributes substantively to kidney stone formation [<xref ref-type="bibr" rid="scirp.109857-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref6">6</xref>]. Prior evidence reported that high dietary calorie, animal protein and oxalate intake and low daily water intake, calcium and potassium consumption correlated with higher incidence of calcium oxalate stone formation, thus representing important risk factors in kidney stone formation [<xref ref-type="bibr" rid="scirp.109857-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref8">8</xref>]. Therefore, dietary investigation represents an important step in the etiological investigation of urolithiasis [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>]. Despite a wealth of studies investigating the association between kidney stone formation and nutrition habits, data on the nutritional status and dietary habits of patients afflicted with kidney stones in the Democratic Republic of Congo (DRC) are lacking. To fill this gap, the present study was designed to determine the dietary habits of patients who followed for urolithiasis in the city of Kinshasa and to evaluate the association between dietary habits and the composition of the stones.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Study Design and Setting</title><p>This was a dietary survey conducted from January 2017 to September 2019 among lithiasic patients attending 8 hospitals in the city of Kinshasa. In this case study, the sample size was not predetermined in its initial phase and the study focused on lithiasic patients for the most part easily accessible in hospitals that agreed to collaborate in this study. Thus, 85 patients had taken part in the study. Only the patients followed in these hospitals for urolithiasis who agreed to freely answer the questionnaire for this survey had taken part in this study.</p></sec><sec id="s2_2"><title>2.2. Dietary Survey</title><p>The final report of the study on the identification and evaluation of the nutritional quality of food supplements in use in the DRC carried out by the non-governmental organization GAAD with funding and technical support from UNICEF [<xref ref-type="bibr" rid="scirp.109857-ref10">10</xref>] was used as a reference for the validation of this survey. Different foods commonly consumed in the DRC were categorized according to their composition: foods rich in animal proteins (beef, pork, goat meat, smoked meat, offal, chicken thighs, turkey rump, chicken, and others), foods high in salt (salted fish, cold meats, cans and others), foods rich in calcium (cow’s milk, cheese, yogurt and others), foods high in sugar (sugary drinks, juices and other soda), foods rich in oxalate (peanuts, peanut feet, sorrel, spinach, eggs, chocolate and others) and various vegetables and fruits.</p><p>We then established a scale from 1 to 4 according to the frequency of consumption of these foods: occasional consumption of a food was rated 1, consumption once a week was rated 2, while consumption 2 to 3 times a week was rated 3, and a daily consumption was rated 4. Ratings 3 and 4 were categorized as heavy consumers of a given food.</p><p>We also evaluated daily water intake. This frequency was qualified as “a lot” when the patient took water several times during the day (quantity estimated at more than 1500 mL/d), “Not much” when the patient took water twice during the day (quantity estimated at 1000 to 1500 mL/day), finally “hardly” when there was only one dose during the day (quantity estimated at less than 1000 mL per day).</p></sec><sec id="s2_3"><title>2.3. Infrared Analysis of Stones and Study Parameters</title><p>The different layers of stones were analyzed by Fourier transform infrared spectrophotometry (Vector 22 FT-IR spectrophotometer, Bruker Optics, Champs-sur-Marne, France) in absorbance mode by accumulation of 32 spectra between 4000 and 400 cm<sup>−1</sup>, with a resolution of 4 cm<sup>−1</sup>. Stones were classified according to their main component (chemical or crystalline body representing the large proportion in a stone).</p><p>Patient demographic and clinical data were obtained from medical records and during the medical appointment, including age, sex, place of residence, weight and height to calculate the body mass index (BMI), occupation, site of stones, existence of a urinary tract infection, comorbidities, and serum creatinine. Age was divided into 4 categories: &lt;20 years, 20 - 39 years, 40 - 59 years, and ≥60 years. The profession was categorized in 3 groups: civil servant, liberal, and student/pupil and unemployed.</p></sec><sec id="s2_4"><title>2.4. Statistical Analysis</title><p>Continuous variables were expressed as means and medians. Categorical variables were summarized into proportions. Differences in categorical variables between groups were assessed using Chi square test or the chi-square likelihood-ratio as appropriate. Differences in means were assessed by the student’s t test. p values less or equal to 0.05 were interpreted as statistically significant. Statistical analysis was performed using SPSS Statistics software version 22 (IBM, Armonk, USA). This study was approved by the ethics committee of the School of Public Health at the University of Kinshasa (approval number: ESP/CE/29/2020).</p></sec></sec><sec id="s3"><title>3. Results</title><p>A total of 85 lithiasis patients attending various hospitals in Kinshasa participated in this survey. Demographics are summarized in <xref ref-type="table" rid="table1">Table 1</xref>. The mean (SD) age of patients was 47.1 (14.0) years. Most participants were males (63.5%, n = 54). Sixty-four patients (75.3%) had stones located in the upper urinary tract. Females had more upper tract stones compared to males (90.3% vs. 66.7%, p = 0.012). The vast majority of patients (85%) were residents of Kinshasa.</p><p>While 6 (7.1%) patients were undernourished, 46 (54.1%) were overweight or obese. Just over a quarter of patients (25.9%) had a urinary tract infection and Escherichia coli was the most frequently isolated bacteria. Twenty patients (23.5%) had hypertension and 9 (10.6%) had impaired renal function (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic parameters by the site of stones</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >All n = 85 (%)</th><th align="center" valign="middle"  colspan="2"  >Site of stones</th><th align="center" valign="middle"  rowspan="2"  >p*</th></tr></thead><tr><td align="center" valign="middle" >Upper tract n = 64 (%)</td><td align="center" valign="middle" >Lower tract n = 21 (%)</td></tr><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.330</td></tr><tr><td align="center" valign="middle" >≤19</td><td align="center" valign="middle" >2 (2.4)</td><td align="center" valign="middle" >1 (1.6)</td><td align="center" valign="middle" >1 (4.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >20 - 39</td><td align="center" valign="middle" >24 (28.2)</td><td align="center" valign="middle" >17 (26.6)</td><td align="center" valign="middle" >7 (33.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >40 - 59</td><td align="center" valign="middle" >42 (49.4)</td><td align="center" valign="middle" >35 (54.7)</td><td align="center" valign="middle" >7 (33.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥60</td><td align="center" valign="middle" >17 (20.0)</td><td align="center" valign="middle" >11 (17.2)</td><td align="center" valign="middle" >6 (28.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.012</td></tr><tr><td align="center" valign="middle" >Females</td><td align="center" valign="middle" >31 (36.5)</td><td align="center" valign="middle" >28 (43.8)</td><td align="center" valign="middle" >3 (14.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Males</td><td align="center" valign="middle" >54 (63.5)</td><td align="center" valign="middle" >36 (56.2)</td><td align="center" valign="middle" >18 (85.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.473</td></tr><tr><td align="center" valign="middle" >Kinshasa</td><td align="center" valign="middle" >71 (83.5)</td><td align="center" valign="middle" >54 (84.4)</td><td align="center" valign="middle" >17 (81.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Outside Kinshasa</td><td align="center" valign="middle" >14 (16.5)</td><td align="center" valign="middle" >10 (15.6)</td><td align="center" valign="middle" >4 (19.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Province of origin</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.030</td></tr><tr><td align="center" valign="middle" >Western</td><td align="center" valign="middle" >36 (42.4)</td><td align="center" valign="middle" >32 (50.0)</td><td align="center" valign="middle" >4 (19.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >North</td><td align="center" valign="middle" >15 (17.6)</td><td align="center" valign="middle" >9 (14.1)</td><td align="center" valign="middle" >6 (28.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Center-South</td><td align="center" valign="middle" >29 (34.1)</td><td align="center" valign="middle" >21 (32.8)</td><td align="center" valign="middle" >8 (38.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Eastern</td><td align="center" valign="middle" >5 (5.9)</td><td align="center" valign="middle" >2 (3.1)</td><td align="center" valign="middle" >3 (14.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.968</td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >33 (38.8)</td><td align="center" valign="middle" >24 (37.5)</td><td align="center" valign="middle" >9 (42.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Official</td><td align="center" valign="middle" >32 (37.6)</td><td align="center" valign="middle" >25 (39.1)</td><td align="center" valign="middle" >7 (33.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lib&#233;ral</td><td align="center" valign="middle" >12 (14.1)</td><td align="center" valign="middle" >9 (14.1)</td><td align="center" valign="middle" >3 (14.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >8 (9.4)</td><td align="center" valign="middle" >6 (9.4)</td><td align="center" valign="middle" >2 (9.5)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Pearson chi-square.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Clinical parameters according to the site of the stones</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >All n = 85 (%)</th><th align="center" valign="middle"  colspan="2"  >Site of stones</th><th align="center" valign="middle"  rowspan="2"  >p*<sup> </sup></th></tr></thead><tr><td align="center" valign="middle" >Upper tract n = 64 (%)</td><td align="center" valign="middle" >Lower tract n = 21 (%)</td></tr><tr><td align="center" valign="middle" >BMI</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.682</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >33 (38.8)</td><td align="center" valign="middle" >23 (35.9)</td><td align="center" valign="middle" >10 (47.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >29 (34.1)</td><td align="center" valign="middle" >23 (35.9)</td><td align="center" valign="middle" >6 (28.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >17 (20.0)</td><td align="center" valign="middle" >14 (21.9)</td><td align="center" valign="middle" >3 (14.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Under nutrition</td><td align="center" valign="middle" >6 (7.1)</td><td align="center" valign="middle" >4 (6.2)</td><td align="center" valign="middle" >2 (9.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urinary tract infection</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.624</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >22 (25.9)</td><td align="center" valign="middle" >16 (25.0)</td><td align="center" valign="middle" >6 (28.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >E. coli</td><td align="center" valign="middle" >10 (11.8)</td><td align="center" valign="middle" >8 (12.5)</td><td align="center" valign="middle" >2 (9.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Staphylococcus</td><td align="center" valign="middle" >5 (5.9)</td><td align="center" valign="middle" >4 (6.2)</td><td align="center" valign="middle" >1 (4.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Citrobacter</td><td align="center" valign="middle" >3 (3.5)</td><td align="center" valign="middle" >1 (1.6)</td><td align="center" valign="middle" >2 (9.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Enterococcus</td><td align="center" valign="middle" >2 (2.4)</td><td align="center" valign="middle" >1 (1.6)</td><td align="center" valign="middle" >1 (4.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Klebsiella</td><td align="center" valign="middle" >1 (1.2)</td><td align="center" valign="middle" >1 (1.6)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Acinetobacter</td><td align="center" valign="middle" >1 (1.2)</td><td align="center" valign="middle" >1 (1.6)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >63 (74.1)</td><td align="center" valign="middle" >48 (75.0)</td><td align="center" valign="middle" >15 (71.4)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Comorbidities</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.425</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >22 (25.9)</td><td align="center" valign="middle" >17 (26.6)</td><td align="center" valign="middle" >5 (23.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Arterial hyertension</td><td align="center" valign="middle" >14 (16.5)</td><td align="center" valign="middle" >11 (17.2)</td><td align="center" valign="middle" >3 (14.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hypertension + diabetes</td><td align="center" valign="middle" >5 (5.9)</td><td align="center" valign="middle" >4 (6.2)</td><td align="center" valign="middle" >1 (4.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >3 (3.5)</td><td align="center" valign="middle" >2 (3.1)</td><td align="center" valign="middle" >1 (4.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >63 (74.1)</td><td align="center" valign="middle" >47 (73.4)</td><td align="center" valign="middle" >16 (76.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Renal function</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.293</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >76 (89.4)</td><td align="center" valign="middle" >56 (87.5)</td><td align="center" valign="middle" >20 (95.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Impaired</td><td align="center" valign="middle" >9 (10.6)</td><td align="center" valign="middle" >8 (12.5)</td><td align="center" valign="middle" >1 (4.8)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Pearson chi-square.</p><p>Most patients (77.6%, n = 66) consumed vegetables and fruits. Other dietary habits found in these patients were excessive consumption of animal proteins (62.4%, n = 53), heavy consumption of sugary drinks (58.8%), consumption of foods rich in oxalate (58.8%), high consumption of foods rich in calcium (40%), and a salty foods (34.1%). Most patients (68.2%) drank less than 1500 mL of water in 24 hours.</p><p>Females consumed more salty foods than males (48.4% women vs. 25.9% men, p = 0.032). Apart from the high-salt diet, we did not note any statistically significant differences between the eating habits and sex of the patients. Young adults consumed more sugary drinks than other age groups (83% young adults vs. 59% adults and 23.5% people over 60, p = 0.002) (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Eating habits by sex and age</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >All n = 85 (%)</th><th align="center" valign="middle"  colspan="3"  >Sexe</th><th align="center" valign="middle"  colspan="5"  >Age groups (years)</th></tr></thead><tr><td align="center" valign="middle" >Woman n = 31 (%)</td><td align="center" valign="middle" >Man n = 54 (%)</td><td align="center" valign="middle" >p</td><td align="center" valign="middle" >≤19 n = 2 (%)</td><td align="center" valign="middle" >20 - 39 n = 24 (%)</td><td align="center" valign="middle" >40 - 59 n = 42 (%)</td><td align="center" valign="middle" >≥60 n = 17 (%)</td><td align="center" valign="middle" >p*<sup> </sup></td></tr><tr><td align="center" valign="middle" >Heavy cons of protein</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.439</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.166</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >53 (62.3)</td><td align="center" valign="middle" >19 (61.3)</td><td align="center" valign="middle" >34 (63.0)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >18 (75.0)</td><td align="center" valign="middle" >27 (64.3)</td><td align="center" valign="middle" >7 (41.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >32 (37.7)</td><td align="center" valign="middle" >12 (38.7)</td><td align="center" valign="middle" >20 (37.0)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >6 (25.0)</td><td align="center" valign="middle" >15 (35.7)</td><td align="center" valign="middle" >10 (58.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy cons. of salt</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.032</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.554</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >29 (34.1)</td><td align="center" valign="middle" >15 (48.4)</td><td align="center" valign="middle" >14 (25.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >7 (29.2)</td><td align="center" valign="middle" >17 (40.5)</td><td align="center" valign="middle" >4 (23.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >56 (65.9)</td><td align="center" valign="middle" >16 (51.6)</td><td align="center" valign="middle" >40 (74.1)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >17 (60.8)</td><td align="center" valign="middle" >25 (59.5)</td><td align="center" valign="middle" >13 (66.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy cons. Calcium</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.520</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.072</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >34 (40.0)</td><td align="center" valign="middle" >12 (38.7)</td><td align="center" valign="middle" >22 (40.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >9 (37.5)</td><td align="center" valign="middle" >13 (30.9)</td><td align="center" valign="middle" >10 (58.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >51 (60.0)</td><td align="center" valign="middle" >19 (61.3)</td><td align="center" valign="middle" >32 (59.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >15 (62.5)</td><td align="center" valign="middle" >29 (69.1)</td><td align="center" valign="middle" >7 (31.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >heavy cons. of Sugar</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.367</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >50 (58.8)</td><td align="center" valign="middle" >17 (54.8)</td><td align="center" valign="middle" >33 (61.1)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >20 (83.3)</td><td align="center" valign="middle" >25 (59.5)</td><td align="center" valign="middle" >4 (23.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >35 (41.2)</td><td align="center" valign="middle" >14 (45.2)</td><td align="center" valign="middle" >21 (38.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >4 (16.7)</td><td align="center" valign="middle" >17 (40.5)</td><td align="center" valign="middle" >13 (76.5)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy cons. Oxalate</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.453</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.223</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >50 (58.8)</td><td align="center" valign="middle" >19 (61.3)</td><td align="center" valign="middle" >31 (57.4)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >11 (45.8)</td><td align="center" valign="middle" >28 (66.7)</td><td align="center" valign="middle" >9 (52.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >35 (41.2)</td><td align="center" valign="middle" >12 (38.7)</td><td align="center" valign="middle" >23 (42.6)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0 (0,0)</td><td align="center" valign="middle" >13 (54.2)</td><td align="center" valign="middle" >14 (33.3)</td><td align="center" valign="middle" >8 (47.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy cons. of vegetables</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.197</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.271</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >66 (77.6)</td><td align="center" valign="middle" >22 (71,0)</td><td align="center" valign="middle" >44 (81.5)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >20 (83.3)</td><td align="center" valign="middle" >29 (69.0)</td><td align="center" valign="middle" >15 (88.2)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >19 (22.4)</td><td align="center" valign="middle" >9 (29.0)</td><td align="center" valign="middle" >10 (18.5)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >4 (16.7)</td><td align="center" valign="middle" >13 (31.0)</td><td align="center" valign="middle" >2 (11.8)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Water</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.307</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.809</td></tr><tr><td align="center" valign="middle" >A lot</td><td align="center" valign="middle" >27 (31.8)</td><td align="center" valign="middle" >7 (22.6)</td><td align="center" valign="middle" >20 (37.0)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >7 (29.2)</td><td align="center" valign="middle" >13 (30.9)</td><td align="center" valign="middle" >6 (35.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No a lot</td><td align="center" valign="middle" >32 (37.6)</td><td align="center" valign="middle" >12 (38.7)</td><td align="center" valign="middle" >20 (37.0)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 (50.0)</td><td align="center" valign="middle" >8 (33.3)</td><td align="center" valign="middle" >15 (35.7)</td><td align="center" valign="middle" >8 (47.1)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Almost not</td><td align="center" valign="middle" >26 (30.6)</td><td align="center" valign="middle" >12 (38.7)</td><td align="center" valign="middle" >14 (25.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >9 (37.5)</td><td align="center" valign="middle" >14 (33.4)</td><td align="center" valign="middle" >3 (17.6)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Pearson chi-square, the p correspond to the distribution of eating habits according to sex and age groups of patients.</p><p>Patients residing in the provinces of the DRC had a saltier diet (64.3% outside Kinshasa vs. 28.2 Kinshasa, p = 0.012) than those residing in the city of Kinshasa. People from the western and northern provinces consumed more sugary drinks than those from other DRC provinces (66.7% West and 80% North vs. 41.4% Center-South and 40% East, p = 0.041) (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>Only the stones of 61 out of the 85 patients who took part in this dietary survey were extracted during our study period and analyzed at the TENON hospital (APHP, Paris, France).</p><p>The whewellite majority in the stones of 45 patients (or 73.8%) was the largest majority body. The other major bodies identified were carbapatite (in 6.5% of cases), weddellite (6.5%), struvite (4.9%), ammonium urate (4.9%) and l anhydrous uric acid (4.9%).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Eating habits according to place of residence and province of origin</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >All n = 85 (%)</th><th align="center" valign="middle"  colspan="2"  >Home</th><th align="center" valign="middle"  rowspan="2"  >p</th><th align="center" valign="middle"  colspan="4"  >Provinces of origin</th><th align="center" valign="middle"  rowspan="2"  >p</th></tr></thead><tr><td align="center" valign="middle" >Kinshasa n = 71 (%)</td><td align="center" valign="middle" >Hors Kinshasa n = 14 (%)</td><td align="center" valign="middle" >Western n = 36 (%)</td><td align="center" valign="middle" >North n = 15 (%)</td><td align="center" valign="middle" >Center-south n = 29 (%)</td><td align="center" valign="middle" >Eastern n = 5 (%)</td></tr><tr><td align="center" valign="middle" >Heavy cons. of prot&#233;in</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.561</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.316</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >53 (62.4)</td><td align="center" valign="middle" >44 (62.0)</td><td align="center" valign="middle" >9 (64.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >21 (58.3)</td><td align="center" valign="middle" >12 (80.0)</td><td align="center" valign="middle" >16 (55.2)</td><td align="center" valign="middle" >4 (80.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >32 (37.6)</td><td align="center" valign="middle" >27 (38.0)</td><td align="center" valign="middle" >5 (35.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15 (41.7)</td><td align="center" valign="middle" >3 (20.0)</td><td align="center" valign="middle" >13 (44.8)</td><td align="center" valign="middle" >1 (20.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy Consumer of salt</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.012</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.591</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >29 (34.1)</td><td align="center" valign="middle" >20 (28.2)</td><td align="center" valign="middle" >9 (64.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15 (41.7)</td><td align="center" valign="middle" >5 (33.3)</td><td align="center" valign="middle" >8 (27.6)</td><td align="center" valign="middle" >1 (20.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >56 (65.9)</td><td align="center" valign="middle" >51 (71.8)</td><td align="center" valign="middle" >5 (35.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >21 (58.3)</td><td align="center" valign="middle" >10 (66.7)</td><td align="center" valign="middle" >21 (72.4)</td><td align="center" valign="middle" >4 (80.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy consumer calcium</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.259</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.502</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >34 (40.0)</td><td align="center" valign="middle" >30 (42.3)</td><td align="center" valign="middle" >4 (28.6)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15 (41.7)</td><td align="center" valign="middle" >8 (53.3)</td><td align="center" valign="middle" >10 (34.5)</td><td align="center" valign="middle" >1 (20.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >51 (60.0)</td><td align="center" valign="middle" >41 (57.7)</td><td align="center" valign="middle" >10 (71.4)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >21 (58.3)</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >19 (65.5)</td><td align="center" valign="middle" >4 (80.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy consumer of sugar</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.557</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.041*<sup> </sup></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >50 (58.8)</td><td align="center" valign="middle" >42 (59.2)</td><td align="center" valign="middle" >8 (57.1)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >24 (66.7)</td><td align="center" valign="middle" >12 (80.0)</td><td align="center" valign="middle" >12 (41.4)</td><td align="center" valign="middle" >2 (40.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >35 (41.2)</td><td align="center" valign="middle" >29 (40.8)</td><td align="center" valign="middle" >6 (42.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >12 (33.3)</td><td align="center" valign="middle" >3 (20.0)</td><td align="center" valign="middle" >17 (58.6)</td><td align="center" valign="middle" >3 (60.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy consumer of oxalate</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.442</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.574</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >50 (58.8)</td><td align="center" valign="middle" >41 (57.7)</td><td align="center" valign="middle" >9 (64.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >24 (66.7)</td><td align="center" valign="middle" >8 (53.3)</td><td align="center" valign="middle" >16 (55.2)</td><td align="center" valign="middle" >2 (40.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >35 (41.2)</td><td align="center" valign="middle" >30 (42.3)</td><td align="center" valign="middle" >5 (35.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >12 (33.3)</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >13 (44.8)</td><td align="center" valign="middle" >3 (60.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy cons of vegetables</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.053</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.449</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >66 (77.6)</td><td align="center" valign="middle" >58 (81.7)</td><td align="center" valign="middle" >8 (57.1)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >26 (72.2)</td><td align="center" valign="middle" >11 (73.3)</td><td align="center" valign="middle" >24 (82.8)</td><td align="center" valign="middle" >5 (100.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >19 (22.4)</td><td align="center" valign="middle" >13 (18.3)</td><td align="center" valign="middle" >6 (42.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >10 (27.8)</td><td align="center" valign="middle" >4 (26.7)</td><td align="center" valign="middle" >5 (17.2)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hydrant</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.898</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.629</td></tr><tr><td align="center" valign="middle" >A lot</td><td align="center" valign="middle" >27 (31.8)</td><td align="center" valign="middle" >23 (32.4)</td><td align="center" valign="middle" >4 (28.6)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >13 (36.1)</td><td align="center" valign="middle" >5 (33.3)</td><td align="center" valign="middle" >8 (27.6)</td><td align="center" valign="middle" >1 (20.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No a lot</td><td align="center" valign="middle" >32 (37.6)</td><td align="center" valign="middle" >27 (38.0)</td><td align="center" valign="middle" >5 (35.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15 (41.7)</td><td align="center" valign="middle" >3 (20.0)</td><td align="center" valign="middle" >12 (41.4)</td><td align="center" valign="middle" >2 (40.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Almost not</td><td align="center" valign="middle" >26 (30.6)</td><td align="center" valign="middle" >21 (29.6)</td><td align="center" valign="middle" >5 (35.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >8 (22.2)</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >9 (31.0)</td><td align="center" valign="middle" >2 (40.0)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Likelihood chi-square, p correspond to the distribution of eating habits according to the residence and province of origin of the patients.</p><p>Anhydrous uric acid stones were completely associated with a high BMI (overweight) and 50% of carbapatite stones were associated with under nutrition (p = 0.025). No statistically significant difference was noted between the distribution of urinary tract infection and majority stone bodies.</p><p>Males with a diet rich in oxalate had more calcium oxalate stones (64.3%) compared to other major bodies (carbapatite, struvite and ammonium urate urate) (p = 0.041) (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec><sec id="s4"><title>4. Discussion</title>Eating Habits and Chemical Composition of Stones<p>In this study, vegetable consumption was the most predominant diet. The other dietary habits found in these lithiasis patients included high consumptions of</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Majority bodies based on BMI, urinary tract infection and oxalate consumption in men</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >All n = 61 (%)</th><th align="center" valign="middle"  colspan="5"  >Corps majoritaires regroup&#233;s</th><th align="center" valign="middle"  rowspan="2"  >p*<sup> </sup></th></tr></thead><tr><td align="center" valign="middle" >Oxalate de calcium n = 49 (%)</td><td align="center" valign="middle" >CA n = 4 (%)</td><td align="center" valign="middle" >PAM n = 3 (%)</td><td align="center" valign="middle" >AU0 n = 2 (%)</td><td align="center" valign="middle" >UrAm n = 3 (%)</td></tr><tr><td align="center" valign="middle" >BMI</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.025</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >22 (36.1)</td><td align="center" valign="middle" >19 (38.8)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >2 (66.7)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >1 (33.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Overweight</td><td align="center" valign="middle" >22 (36.1)</td><td align="center" valign="middle" >17 (34.7)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >1 (33.3)</td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >2 (66.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >13 (21.3)</td><td align="center" valign="middle" >11 (22.4)</td><td align="center" valign="middle" >2 (50.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Under nutrition</td><td align="center" valign="middle" >4 (6.6)</td><td align="center" valign="middle" >2 (4.1)</td><td align="center" valign="middle" >2 (50.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urinary tract infection</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.928</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >16 (26.2)</td><td align="center" valign="middle" >13 (26.5)</td><td align="center" valign="middle" >1 (25.0)</td><td align="center" valign="middle" >1 (33.3)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >1 (33.3)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >45 (73.8)</td><td align="center" valign="middle" >36 (73.5)</td><td align="center" valign="middle" >3 (75.0)</td><td align="center" valign="middle" >2 (66.7)</td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >2 (66.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >n = 36 (%)</td><td align="center" valign="middle" >n = 28 (%)</td><td align="center" valign="middle" >n = 1 (%)</td><td align="center" valign="middle" >n = 2 (%)</td><td align="center" valign="middle" >n = 2 (%)</td><td align="center" valign="middle" >n = 3 (%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Heavy cons. oxalate</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.041</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >20 (55.6)</td><td align="center" valign="middle" >18 (64.3)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >16 (44.4)</td><td align="center" valign="middle" >10 (35.7)</td><td align="center" valign="middle" >1 (100.0)</td><td align="center" valign="middle" >2 (100.0)</td><td align="center" valign="middle" >0 (0.0)</td><td align="center" valign="middle" >3 (100.0)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Pearson chi-square. CA: carbapatite, PAM: struvite, AU0: anhydrous uric acid and UrAm: ammonium urate.</p><p>animal proteins, consumptions of foods rich in oxalate, refined sugars, calcium, and consumptions of foods high in salt. Also, men with a diet high in oxalate had more calcium oxalate stones compared to other main stones.</p><p>Most of patients in this study (77.6%) had a diet rich in vegetables and fruits. Several studies have demonstrated the protective role of a diet rich in vegetables and fruits [<xref ref-type="bibr" rid="scirp.109857-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref12">12</xref>]. Likewise, a Dietary Approaches to Stop Hypertension (DASH) diet, rich in fruits, vegetables, whole grains, and low-fat dairy products, has been shown to significantly reduce the risk of kidney stone formation [<xref ref-type="bibr" rid="scirp.109857-ref13">13</xref>]. However, it is worth mentioning that the protective effect of a diet rich in vegetables and fruits is only observed in people who rarely consume them [<xref ref-type="bibr" rid="scirp.109857-ref12">12</xref>]. Indeed, Meschi et al. [<xref ref-type="bibr" rid="scirp.109857-ref12">12</xref>] found that urinary citrate excretion was significantly reduced and calcium excretion was significantly increased after a two-week diet of vegetables in a normal population [<xref ref-type="bibr" rid="scirp.109857-ref12">12</xref>]. Furthermore, Daudon et al. [<xref ref-type="bibr" rid="scirp.109857-ref14">14</xref>] revealed that a vegetable diet is often rich in oxalic acid and poor in calcium, which would promote hyperoxaluria and the formation of calcium oxalate stones observed in developing countries. In this study, whewellite (73.8%) was the most frequent component and less than half of patients (40%) consumed foods rich in calcium. Thus, the need to examine the oxalate content in various green leaves and vegetables regularly consumed in the DRC.</p><p>In this study, 58.8% of patients had a diet rich in oxalate and a statistically significant association was found between a diet rich in oxalate and calcium oxalate stones in men. Higher consumptions of oxalate increase the risk of stone formation [<xref ref-type="bibr" rid="scirp.109857-ref15">15</xref>]. Oxalate, a terminal acid in metabolism whose primary route of excretion is the kidney, binds to calcium to form calcium oxalate which is an important lithogenic complex [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref16">16</xref>]. Three potential sources of oxalate intake are known: foods rich in oxalate (represents 10% to 20% urinary oxalate) [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref16">16</xref>], hyperoxaluria may be secondary to intestinal malabsorption [<xref ref-type="bibr" rid="scirp.109857-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref19">19</xref>] and hepatic oxalate synthesis which depends on lean body mass (represents 80% to 90% of oxalate). However, a diet very low in oxalate can reduce urinary oxalate excretion by half [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>] and only 100 - 1000 mg of free oxalate which is absorbed per day [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref14">14</xref>].</p><p>Besides higher consumptions of vegetables, we also found that 62.4% of patients had a diet rich in animal proteins and 58.8% consumed refined sugars contained in juices and other soft drinks. Ferraro et al. [<xref ref-type="bibr" rid="scirp.109857-ref20">20</xref>] found that higher consumption of sugary drinks was one of the modifiable risk factors associated with urinary stones. There is also evidence that sugary and carbonated drinks increase the risk of urinary stone formation [<xref ref-type="bibr" rid="scirp.109857-ref21">21</xref>]. Zhuo et al. [<xref ref-type="bibr" rid="scirp.109857-ref11">11</xref>] reported that animal protein intake was significantly associated with the occurrence of urolithiasis. Short-term restriction of animal protein significantly reduces the excretion of calcium, phosphate, hydroxyproline, uric acid and oxalate and increases the excretion of citrate in the urine, reducing the risk of stone formation [<xref ref-type="bibr" rid="scirp.109857-ref22">22</xref>]. Therefore, patients with recurrent calcium oxalate urate stones should decrease consumptions of animal proteins and avoid foods high in purines.</p><p>It is known that calciuria is an important determinant of calcium lithogenicity because hypercalciuria is found in 30% to 60% of lithiasis patients. Calciuria is influenced by nutritional factors such as excessive salt, calcium, and proteins intake [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref24">24</xref>]. In this study higher intake of salt, calcium and proteins were found in 34.1%, 40%, and 62.4% of cases, respectively.</p><p>Milk, dairy products, and drinking water are the main sources of dietary calcium [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref16">16</xref>]. Digestive absorption of calcium represents 20% of the amount ingested, or 5 mmoL/d (200 mg), and the kidney is the only way out of calcium. Any excess sodium intake in food leads to increased urinary calcium excretion. It is also known that the consumption of animal proteins is associated with the increased incidence of calcium urolithiasis. The multifactorial effects of excess animal proteins include: lowering of urinary pH, increased excretion of calcium, uric acid, oxalate and a decrease in citrate excretion. [<xref ref-type="bibr" rid="scirp.109857-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref28">28</xref>]. Thus, sodium intake must be maintained around 6 and 7 g/d; whereas protein intakes should be normalized to 1 g/kg/day in adults [<xref ref-type="bibr" rid="scirp.109857-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref30">30</xref>].</p><p>This dietary survey revealed that 68.2% of patients drank less than 1500 mL of water per 24 hours. High fluid intake has been shown to increase urine volume, reduce the concentration of calcium oxalate in urine, and reduce the risk of stone formation by 50% and the recurrence rate from 60% to 80% [<xref ref-type="bibr" rid="scirp.109857-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref32">32</xref>]. Indeed, Zhuo et al. [<xref ref-type="bibr" rid="scirp.109857-ref11">11</xref>] demonstrated that fluid intake was significantly associated with the occurrence of urolithiasis. We believe that lower water intake in our study is due, at least partially, by limited access to clean drinking water. Water intake should be harmoniously distributed throughout the day and adjusted according to the fluid losses. This could help prevent urolithiasis and reduce the frequency of recurrence [<xref ref-type="bibr" rid="scirp.109857-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.109857-ref31">31</xref>]. Remember that there are three categories of water; prepackaged natural mineral waters, prepackaged spring waters and water for public distribution (tap water), rainwater and well water; the latter being generally very low in calcium. Mineral and spring waters are the only ones that can take advantage of properties favorable to health, benefiting from an original nature and purity, coming from underground water free from any pollution, stable in their composition [<xref ref-type="bibr" rid="scirp.109857-ref9">9</xref>].</p><p>Finally, the small sample size of this hospital series is a limiting factor that must be taken into account in interpreting these results. But, beyond this possible limit, this study made it possible for the first time to describe the eating habits of lithic patients in the DRC.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In this study, high consumptions of vegetables and low water intake were linked to the formation of calcium oxalate monohydrate stones. More data are needed to confirm these findings.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors sincerely thank the Department of Functional Explorations of the Tenon Hospital in Paris, the staff of the Urology Department of the University Clinics of Kinshasa, as well as all the partner hospitals and doctors who agreed to collaborate with us in the context of this study.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>No conflict of interest has been declared by the authors.</p></sec><sec id="s8"><title>Authors’ Contributions</title><p>PD, DM designed, collected, interpreted, wrote and corrected the manuscript. EM, AN analyzed the data, read and corrected the article. JRM, ML and ES read and edited the article, MD and PD carried out the morpho-constitutional analysis of stones, and revised the manuscript, APM, SL, MD and JPH supervised, interpreted and edited the article. All authors have read and approved the final version of the article.</p></sec><sec id="s9"><title>Cite this paper</title><p>Diangienda, P.K.D., Moningo, D.M., Mayindu, A.N., Makulo, J.-R.R., Sumaili, E.K., Mafuta, E.M., Loposso, M.N., Punga-Maole, A.M.L., Lufuma, S.L.N., Haymann, J.-P. and Daudon, M. (2021) Eating Habits among Lithiasic Patients in Kinshasa, the Democratic Republic of Congo. Open Journal of Urology, 11, 200-213. https://doi.org/10.4236/oju.2021.116018</p></sec><sec id="s10"><title>DATA COLLECTION SHEET: DIETARY SURVEY OF LITHIASIC PATIENTS IN KINSHASA.</title><disp-formula id="scirp.109857-formula3"><graphic  xlink:href="//html.scirp.org/file/2-5000626x3.png"  xlink:type="simple"/></disp-formula></sec></body><back><ref-list><title>References</title><ref id="scirp.109857-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Shadman, A. and Bastani, B. (2017) Kidney Calculi: Pathophysiology and as a Systemic Disorder. Iranian Journal of Kidney Diseases, 11, 180-191.</mixed-citation></ref><ref id="scirp.109857-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Ziemba, J.B. and Matlaga, B.R. (2017) Epidemiology and Economics of Nephrolithiasis. Investigative and Clinical Urology, 58, 299-306. https://doi.org/10.4111/icu.2017.58.5.299</mixed-citation></ref><ref id="scirp.109857-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Shin, S., Srivastava, A., Alli, N.A. and Bandyopadhyay, B.C. (2018) Confounding Risk Factors and Preventative Measures Driving Nephrolithiasis Global Makeup. World Journal of Nephrology, 7, 129-142. https://doi.org/10.5527/wjn.v7.i7.129</mixed-citation></ref><ref id="scirp.109857-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Dissayabutra, T., Kalpongkul, N., Rattanaphan, J., Boonla, C., Srisa-art, M., Ungjaroenwathana, W., et al. (2018) Urinary Stone Risk Factors in the Descendants of Patients with Kidney Stone Disease. Pediatric Nephrology, 33, 1173-1181.https://doi.org/10.1007/s00467-018-3927-1</mixed-citation></ref><ref id="scirp.109857-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Sorensen, M.D., Hsi, R.S., Chi, T., Shara, N., Wactawski-Wende, J., Kahn, A.J., et al. (2014) Dietary Intake of Fiber, Fruit and Vegetables Decreases the Risk of Incident Kidney Stones in Women: A Women’s Health Initiative Report. Journal of Urology, 192, 1694-1699. https://doi.org/10.1016/j.juro.2014.05.086</mixed-citation></ref><ref id="scirp.109857-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Mirzaei, K., Aghamir, S.M.K., Modaresi, S.S. and Yekaninejad, M.S. (2017) Major Dietary Patterns and Kidney Stone Formation among Iranian Men. Journal of Nutritional Science and Healthy Diet, 3, 11-17.</mixed-citation></ref><ref id="scirp.109857-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Fakhoury, M.Q., Gordon, B., Shorter, B., Renson, A., Borofsky, M.S., Cohn, M.R., et al. (2018) Perceptions of Dietary Factors Promoting and Preventing Nephrolithiasis: A Cross-Sectional Survey. World Journal of Urology, 37, 1723-1731. https://doi.org/10.1007/s00345-018-2562-6</mixed-citation></ref><ref id="scirp.109857-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Icer, M.A. and Gezmen-Karadag, M. (2018) Determination of the Effect of Nutritional Status on PRAL Level in Patients with Nephrolithiasis. Gümü&amp;#351;hane University Journal of Health Sciences, 7, 1-9.</mixed-citation></ref><ref id="scirp.109857-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Traxer, O., Lechevallier, E. and Saussine, C. (2008) Diététique et lithiase rénale. Le r&amp;#244;le de l’urologue. Progrès en Urologie, 18, 857-862. https://doi.org/10.1016/j.purol.2008.09.041</mixed-citation></ref><ref id="scirp.109857-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">(2019) Etude sur le recensement et l’évaluation de la qualité nutritionnelle des aliments de complément en République Démocratique du Congo. Rapport Final, Octobre 2019.</mixed-citation></ref><ref id="scirp.109857-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Zhuo, D., Li, M., Cheng, L., Zhang, J., Huang, H. and Yao, Y. (2019) A Study of Diet and Lifestyle and the Risk of Urolithiasis in 1,519 Patients in Southern China. Medical Science Monitor, 25, 4217-4224. https://doi.org/10.12659/MSM.916703</mixed-citation></ref><ref id="scirp.109857-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Meschi, T., Maggiore, U., Fiaccadori, E., Schianchi, T., Bosi, S., Adorni, G., et al. (2004) The Effect of Fruits and Vegetables on Urinary Stone Risk Factors. Kidney International, 66, 2402-2410. https://doi.org/10.1111/j.1523-1755.2004.66029.x</mixed-citation></ref><ref id="scirp.109857-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Taylor, E.N., Fung, T.T. and Curhan, G.C. (2009) DASH-Style Diet Associates with Reduced Risk for Kidney Stones. Journal of the American Society of Nephrology, 20, 2253-2259. https://doi.org/10.1681/ASN.2009030276</mixed-citation></ref><ref id="scirp.109857-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Daudon, M. (2005) &amp;#201;pidémiologie actuelle de la lithiase rénale en France. Annales d’urologie, 39, 209-231. https://doi.org/10.1016/j.anuro.2005.09.007</mixed-citation></ref><ref id="scirp.109857-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Gasinska, A. and Gajewska, D. (2007) Tea and Coffee as the Main Sources of Oxalate in Diets of Patients with Kidney Oxalate Stones. Roczniki Państwowego Zak&amp;#322;adu Higieny, 58, 61-67.</mixed-citation></ref><ref id="scirp.109857-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Ernandez, T., Chopard, C.S., Bonny, O., Iselin, C., Martin, P.-Y. and Jaeger, P. (2013) Approche pratique de la lithiase rénale: Duo entre généralistes et spécialistes. Revue Médicale Suisse, 9, 456-461.</mixed-citation></ref><ref id="scirp.109857-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Sakhaee, K., Maalouf, N.M. and Sinnott, B. (2012) Kidney Stones 2012: Pathogenesis, Diagnosis, and Management. Journal of Clinical Endocrinology &amp; Metabolism, 97, 1847-1860. https://doi.org/10.1210/jc.2011-3492</mixed-citation></ref><ref id="scirp.109857-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Dobbins, J.W. and Binder, H.J. (1976) Effect of Bile Salts and Fatty Acids on the Colonic Absorption of Oxalate. Gastroenterology, 70, 1096-1100. https://doi.org/10.1016/S0016-5085(76)80318-6</mixed-citation></ref><ref id="scirp.109857-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Jaeger, P. and Robertson, W.G. (2004) Role of Dietary Intake and Intestinal Absorption of Oxalate in Calcium Stone Formation. Nephron Physiology, 98, 64-71.https://doi.org/10.1159/000080266</mixed-citation></ref><ref id="scirp.109857-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Ferraro, P.M., Taylor, N.E., Gambaro, G. and Curhan, G.C. (2017) Dietary and Lifestyle Risk Factors Associated with Incident Kidney Stones in Men and Women. Journal of Urology, 198, 858-863. https://doi.org/10.1016/j.juro.2017.03.124</mixed-citation></ref><ref id="scirp.109857-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Ferraro, P.M., Taylor, E.N., Gambaro, G. and Curhan, G.C. (2013) Soda and Other Beverages and the Risk of Kidney Stones. Clinical Journal of the American Society of Nephrology, 8, 1389-1395. https://doi.org/10.2215/CJN.11661112</mixed-citation></ref><ref id="scirp.109857-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Heilberg, I.P. and Goldfarb, D.S. (2013) Optimum Nutrition for Kidney Stone Disease. Advances in Chronic Kidney Disease, 20, 165-174. https://doi.org/10.1053/j.ackd.2012.12.001</mixed-citation></ref><ref id="scirp.109857-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Romero, V., Akpinar, H. and Assimos, D.G. (2010) Kidney Stones: A Global Picture of Prevalence, Incidence, and Associated Risk Factors. Reviews in Urology, 12, e86-e96.</mixed-citation></ref><ref id="scirp.109857-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Worcester, E.M. and Coe, F.L. (2010) Clinical Practice. Calcium Kidney Stones. New England Journal of Medicine, 363, 954-963. https://doi.org/10.1056/NEJMcp1001011</mixed-citation></ref><ref id="scirp.109857-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Robertson, W.G. and Peacock, M. (1982) The Pattern of Urinary Stone Disease in Leeds and in the United Kingdom in Relation to Animal Protein Intake during the Period 1960-1980. Urologia Internationalis, 37, 394-399. https://doi.org/10.1159/000280845</mixed-citation></ref><ref id="scirp.109857-ref26"><label>26</label><mixed-citation publication-type="book" xlink:type="simple">Anderson, D.A. (1969) Historical and Geographical Differences in the Pattern of Incidence of Urinary Stones Considered in Relation to Possible Aetiological Factors. In: Hodgkinson, A. and Nordin, B.E., Eds., Renal Stone Research Symposium, Churchill Livingstone, London, 7-31.</mixed-citation></ref><ref id="scirp.109857-ref27"><label>27</label><mixed-citation publication-type="book" xlink:type="simple">Robertson, W.G., Peacock, M., Heyburn, P.J., Speed, R. and Hanes, F. (1979) The Role of Affluence and Diet in the Genesis of Calcium-Containing Stones. In: Vahlensieck, W. and Gasser, G., Eds., Pathogenese und Klinik der Harnsteine VI, Vol. 11, Steinkopff, Heidelberg, 5-14. https://doi.org/10.1007/978-3-642-47063-9_2</mixed-citation></ref><ref id="scirp.109857-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Nguyen, Q.V., Kalin, A., DRouve, U., Casez, J.P. and Jaeger, P. (2001) Sensitivity to Meat Protein Intake and Hyperoxaluria in Idiopathic Calcium Stone Formers. Kidney International, 59, 2273-2281. https://doi.org/10.1046/j.1523-1755.2001.00744.x</mixed-citation></ref><ref id="scirp.109857-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Lemaire, M. (2018) La lithiase rénale: Comment éviter la récidive? Louvain Médical, 137, 279-276.</mixed-citation></ref><ref id="scirp.109857-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Taylor, E.N. and Curhan, G.C. (2008) Determinants of 24-Hour Urinary Oxalate Excretion. Clinical Journal of the American Society of Nephrology, 3, 1453-1460. https://doi.org/10.2215/CJN.01410308</mixed-citation></ref><ref id="scirp.109857-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Borghi, L., Meschi, T., Amato, F., Briganti, A., Novarini, A. and Giannini, A. (1996) Urinary Volume, Water and Recurrences in Idiopathic Calcium Nephrolithiasis: A 5-Year Randomized Prospective Study. Journal of Urology, 155, 839-843. https://doi.org/10.1016/S0022-5347(01)66321-3</mixed-citation></ref><ref id="scirp.109857-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Cheungpasitporn, W., Rossetti, S., Friend, K., Erickson, S.B. and Lieske, J.C. (2016) Treatment Effect, adherence, and Safety of High Fluid Intake for the Prevention of Incident and Recurrent Kidney Stones: A Systematic Review and Meta-Analysis. Journal of Nephrology, 29, 211-219. https://doi.org/10.1007/s40620-015-0210-4</mixed-citation></ref></ref-list></back></article>