<?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">JDM</journal-id><journal-title-group><journal-title>Journal of Diabetes Mellitus</journal-title></journal-title-group><issn pub-type="epub">2160-5831</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jdm.2014.43024</article-id><article-id pub-id-type="publisher-id">JDM-48421</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>Risk Factors for Hospitalization Due to Hypoglycemia in Diabetic Patients in Northeast Thailand</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thuanjai</surname><given-names>Poosakaew</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>Pattapong</surname><given-names>Kesssomboon</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>John</surname><given-names>F. Smith</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Community Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>pattapng@kku.ac.th(PK)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>31</day><month>07</month><year>2014</year></pub-date><volume>04</volume><issue>03</issue><fpage>165</fpage><lpage>171</lpage><history><date date-type="received"><day>20</day>	<month>May</month>	<year>2014</year></date><date date-type="rev-recd"><day>15</day>	<month>June</month>	<year>2014</year>	</date><date date-type="accepted"><day>11</day>	<month>July</month>	<year>2014</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>
	Background: Hypoglycemia
among diabetic patients is a major complication, which results in high
morbidity and mortality. Hospitalization provides the inadequate patient care
and management. Objective: The aim of this study was to determine the potential
risk factors for hospitalization due to hypoglycemia among diabetic patients.
Method: In a case-control study, the cases were diabetic patients admitted due
to hypoglycemia. Controls were diabetic patients admitted for other reasons.
The cases and control subjects were recruited from the inpatient department of
the middle level hospital in Northeast Thailand. The total sample size was 360
patients who met the criteria and had been hospitalized. The number of case was
90, and the number of controls was 270. The data were analyzed by determining
the adjusted odds ratio, and 95% confidence interval of the ORs using multiple
logistic regression models. Results: Using a multivariate logistic regression
model, five variables were significantly associated with hospitalization due to
hypoglycemia among diabetic patients: 1) patients who received insulin
injections (AOR = 20.75; 95% CI: 4.7 - 91.41; p = 0.001); 2) patients who did
not carry sugar candy or a dessert with them at all times (AOR = 13.89; 95% CI:
1.92 - 100.31; p = 0.01); 3) patients with an occurrence of hypoglycemia at
least once a week at home(AOR = 8.83; 95% CI: 2.58 - 30.20; p = 0.001); 4)
patients who were adjusted for doses of medication on their own (AOR = 6.62;
95% CI: 1.30 - 33.70; p = 0.02); and 5) patients who lacked knowledge did not
understand the causes and symptoms of low blood sugar (AOR = 7.97; 95% CI: 1.97
- 32.22; p = 0.001). Conclusion: Receiving insulin injection and poor knowledge
and self-care of hypoglycemia prevention were the best predictors of
hospitalization due to hypoglycemia among diabetic patients. These factors need
to be adequately addressed in order to provide better care and management to
prevent hospitalization among diabetic patients.
</p></abstract><kwd-group><kwd>Diabetes Mellitus</kwd><kwd> Insulin</kwd><kwd> Hypoglycemia</kwd><kwd> Hospitalization Risk Factors</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The total number of diabetics worldwide in developed and developing countries is significantly increasing. One hundred and seventy-one million diabetics were identified in 2000, and this number is estimated to double to 366 million by 2030 [<xref ref-type="bibr" rid="scirp.48421-ref1">1</xref>] . In addition, the International Diabetes Federation found that 344 million of the global population aged 20 - 79 years have impaired glucose tolerance and this upward trend is projected to increase to 472 million people by 2030 [<xref ref-type="bibr" rid="scirp.48421-ref2">2</xref>] .</p><p>In Thailand, according to epidemiological monitoring reports from the Bureau of Epidemiology, Department of Disease Control, Ministry of Public Health in 2006-2007, there are 643,522 diabetics and 131,058 (20.4%) patients with complications in 2006, which increased to 757,031 diabetics and 159,403 (21.1%) patients with complications in 2007. There is also an increasing rate of hospitalization due to acute complications among diabetics aged 15 years and older, from 64.6 per 100,000 in 2005 to 74.3 per 100,000 in 2006, and 98.8 per 100,000 in 2007[<xref ref-type="bibr" rid="scirp.48421-ref3">3</xref>] . Hospitalization rates due to acute complications are expected to continue to increase into the future.</p><p>In Northeast Thailand, surveys conducted from 2005-2006 revealed that diabetes-related mortality rates were the highest in the country [<xref ref-type="bibr" rid="scirp.48421-ref4">4</xref>] -[<xref ref-type="bibr" rid="scirp.48421-ref6">6</xref>] . We reviewed department documentation on diabetic patients admitted with hypoglycemia in a community hospitalization a 120-bed in Northeast Thailand in 2008-2011. There were 148 patients, 197 patients, 217 patients, and 223 patients [<xref ref-type="bibr" rid="scirp.48421-ref7">7</xref>] . According to these findings, the number of diabetic patients hospitalized for hypoglycemia has clearly increased. In addition, diabetic patients have their own strategies to manage the disease according to their experiences, such as their different interpretations of their hypoglycemia diabetic status from which provided by the biomedical analysis [<xref ref-type="bibr" rid="scirp.48421-ref8">8</xref>] .</p><p>At the present, acute and chronic complications of diabetes have increase in number and severity. Hypoglycemia is one of the most common acute complications of diabetes, which affect the brains of diabetics and can sometimes be fatal. Furthermore, hypoglycemia can cause illnesses with increasing severity [<xref ref-type="bibr" rid="scirp.48421-ref9">9</xref>] . The morbidity and mortality rates due to hypoglycemia are also increasing. The overall risk of dying among patients with diabetes is two times greater than the risk in patients without diabetes [<xref ref-type="bibr" rid="scirp.48421-ref10">10</xref>] .</p><p>Studies on risk factors for hypoglycemia in diabetic patients admitted to the hospital are essential for the development of health-care policies and care-giving guidelines for reducing such risks. The present study was performed with the objective of examining risk factors for hypoglycemia in hospitalized diabetics.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Population</title><p>This study was conducted from September 2010 to October 2011. The participants were diabetic patients hospitalized at a 120-bed middle level hospital in Northeast Thailand. This study was approved by the Human Ethics Committee of Khon Kaen University (HE531283).</p></sec><sec id="s2_2"><title>2.2. Study Design</title><p>This study was a case control study. Cases subject were diabetic patients admitted due to hypoglycemia, and had a serum glucose level ≤50 mg/dl on admission. These patients had symptoms of confusion; sweating; tachycardia and dizziness. Controls subjects were diabetic patients who were admitted due to other reasons, did not have signs and symptoms of hypoglycemia, and had a serum glucose level &gt;50 mg/dl.</p><p>We definition hypoglycemia is plasma glucose of less than or equal to 50 mg/dl or who signs and symptoms of hypoglycemia such as weakness; sweating; tachycardia; tingling of mouth and fingers; nausea and vomiting.</p></sec><sec id="s2_3"><title>2.3. Participants</title><p>The study participant inclusion criteria were diabetic patients aged 20 years or older, who had been diagnosed by doctors and were registered as diabetics. The exclusion criteria were diabetics who were pregnant, had mental health problems, or were unable to be interviewed. The consent form of the study participant was obtained. We identified 845 diabetic patients who were admitted during the study. Of these patients, four were excluded due to mental health and age ≤20 years old. The sample size calculation for study participant is usually calculated using the formula proposed by Broll [<xref ref-type="bibr" rid="scirp.48421-ref11">11</xref>] . The ratio of case per control subject was established at 1:3, to avoid random error. In total, 360 patients met the selection criteria. Eligible controls and cases subjects selected for study were randomly chosen from department documentation using simple random sampling (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s2_4"><title>2.4. Data Collection</title><p>Data collection was performed using face-to-face interviews with a questionnaire to identify the risk factors related to knowledge and self-care practices. Medical record reviews were also employed to identify other potential risk factors. The questionnaire and checklist for medical record review were developed and pre-tested prior to actual use. The validity of the study tools were reviewed and assessed by three experts. The Content Validity Index (CVI) of the second part of the questionnaire was 0.70, and the third part was 0.85. The reliability was equal to 0.76. The screening questions to measure knowledge about diabetes were analyzed by using 1) the alpha if item deleted; 2) the item-total correlation and discrimination of the index; and 3) the index of difficulty, to avoid confounding effect. The criteria for selecting questions based of this study the index of difficulty range of this study, equal to 0.35 to 0.88. This index was acceptable, and the item-total correlation and discrimination of the index values of this study equaled to ≥0.2. Thus, the items of the question for this study were qualified by meeting the set criteria and not confounding effect.</p></sec><sec id="s2_5"><title>2.5. Data Analysis</title><p>Data were analyzed by calculating the odds ratio (OR) with a 95% confidence interval for the OR, which was performed with data categorically used to assess the association between the patients for hospitalization with hypoglycemia and independent variables. Next multivariate analysis was performed using logistic regression to determine the risk factors for hospitalization due to hypoglycemia. Significant associations were obtained at p-values less than 0.05 and with a 95% confidence interval. Data of a categorical analysis was tested for goodness-of-fit using the Hosmer and Lemeshow test, which showed a p-value of 0.98. This study was appropriate for analysis for logistic regression model. Pearson’s correlation coefficient was used to obtain to a Correlation Matrix among the independent variables. This study did not find multi-collinearity.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The demographic data and association between patients for hospitalization with hypoglycemia and independent variables are shown in <xref ref-type="table" rid="table1">Table 1</xref>. The odds ratio(OR) with a 95% confidence interval for OR analysis for diabetic medication, duration of diabetes, cholesterol, blood urea nitrogen (BUN), serum creatinine, co-morbidities, and occurrence of hypoglycemia at home within the past week, variables among the case and control groups were statistically significant. In addition, there was no statistically significant difference in terms of gender, age, duration of medication and hemoglobin A1C between cases and controls.</p><p>A majority of participants were females at least 60 years old of age; most were medicated by insulin injection</p><fig id="fig1"><label>Figure 1</label><caption><p> Patient participants</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://file.scirp.org/Html/htmlimages\1-4300229x\49f9112a-0ffc-4e9a-9ce8-fbf43c76f9f2.png"/></fig><table-wrap id="table1"  position="float"><object-id pub-id-type="pii">Table 1</object-id><label>Table 1</label><caption><p>. Demographic data of risk factor and crude odd ratios</p></caption><table><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Number (Percentage)</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI for OR</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tbody><tr><td align="center" valign="middle" >Case</td><td align="center" valign="middle" >Control</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle" >Gender -Female -Male</td><td align="center" valign="middle" >65(72.2) 25(27.8) 90</td><td align="center" valign="middle" >187(69.3) 83(30.7) 270</td><td align="center" valign="middle" >1.15 1</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >1.96</td><td align="center" valign="middle" >0.69</td></tr><tr><td align="center" valign="middle" >Age -Over 60 yrs.  -Under 60 yrs.</td><td align="center" valign="middle" >52(57.8) 38(42.2) 90</td><td align="center" valign="middle" >158(58.5) 112(41.5) 270</td><td align="center" valign="middle" >0.97 1</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >1.57</td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >Diabetic Medication  -Injected Medication -Oral Medication</td><td align="center" valign="middle" >72(80.0) 18(20.0) 90</td><td align="center" valign="middle" >119(44.1) 151(55.9) 270</td><td align="center" valign="middle" >5.08 1</td><td align="center" valign="middle" >2.87</td><td align="center" valign="middle" >8.97</td><td align="center" valign="middle" >0.001<sup>*</sup><sup></sup></td></tr><tr><td align="center" valign="middle" >Duration of Medication -Over 5 yrs. -Under 5 yrs.</td><td align="center" valign="middle" >23(25.6) 67(74.4) 90</td><td align="center" valign="middle" >68(25.2) 202(74.8) 270</td><td align="center" valign="middle" >1.02 1</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >1.76</td><td align="center" valign="middle" >0.94</td></tr><tr><td align="center" valign="middle" >Duration of Diabetes -Over 5 yrs. -Under 5 yrs.</td><td align="center" valign="middle" >71(78.9) 19(21.1) 90</td><td align="center" valign="middle" >139(51.5) 131(48.5) 270</td><td align="center" valign="middle" >3.52 1</td><td align="center" valign="middle" >2.01</td><td align="center" valign="middle" >6.16</td><td align="center" valign="middle" >0.001<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Total Cholesterol Level -Total Cholesterol Levelover or equal to 201 mg/dl (Abnormal) -Total Cholesterol Levelbetween 100 mg/dl and 200 mg/dl (Normal)</td><td align="center" valign="middle" >39(43.3) 51(56.7) 90</td><td align="center" valign="middle" >77(28.5) 193(71.5) 270</td><td align="center" valign="middle" >1.92 1</td><td align="center" valign="middle" >1.17</td><td align="center" valign="middle" >3.14</td><td align="center" valign="middle" >0.01<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Blood Urea Nitrogen (BUN) Test -BUN over, or, equal to 21 mg/dl (Abnormal) -BUN between 12 mg/dl and 20 mg/dl (Normal)</td><td align="center" valign="middle" >59(65.6) 31(34.4) 90</td><td align="center" valign="middle" >129(47.8) 141(52.2) 270</td><td align="center" valign="middle" >2.08 1</td><td align="center" valign="middle" >1.27</td><td align="center" valign="middle" >3.42</td><td align="center" valign="middle" >0.003<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Serum Creatinine (Cr) Test -Cr between 0.6 mg/dl and 1.3 mg/dl(Abnormal) -Cr of over, or, equal to 1.2 mg/dl (Normal)</td><td align="center" valign="middle" >66(73.3) 24(26.7) 90</td><td align="center" valign="middle" >156(57.8) 114(42.2) 270</td><td align="center" valign="middle" >2.01 1</td><td align="center" valign="middle" >1.19</td><td align="center" valign="middle" >3.40</td><td align="center" valign="middle" >0.01<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Hemoglobin A1C (HbA1C) Test -HbA1C of over, or, equal to 7% (Abnormal) -HbA1C between 4% and 7% (Normal)</td><td align="center" valign="middle" >39(43.3) 51(56.7) 90</td><td align="center" valign="middle" >116(43.0) 154(57.0) 270</td><td align="center" valign="middle" >1.02 1</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >1.64</td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >Co-morbidities -Co-morbidities (such as Hypertension, Coronary  Heart Disease and Chronic Renal Failure) -No Co-morbidities</td><td align="center" valign="middle" >84(93.3) 6(6.7) 90</td><td align="center" valign="middle" >215(79.6) 55(20.4) 270</td><td align="center" valign="middle" >3.58 1</td><td align="center" valign="middle" >1.49</td><td align="center" valign="middle" >8.63</td><td align="center" valign="middle" >0.03<sup>*</sup><sup></sup></td></tr><tr><td align="center" valign="middle" >Occurrence of Hypoglycemia at Home within Past Week -At least once. -Never.</td><td align="center" valign="middle" >54(60.0) 36(40.0) 90</td><td align="center" valign="middle" >30(11.1) 240(88.9) 270</td><td align="center" valign="middle" >12.0 1</td><td align="center" valign="middle" >6.80</td><td align="center" valign="middle" >21.16</td><td align="center" valign="middle" >0.001<sup>*</sup></td></tr></tbody></table></table-wrap><p><sup>*</sup>Statistical significance.</p><p>alone and had been diagnosed with diabetes for at least five years. Lastly, most of the patients also had co-mor- bidities.</p><p>The case group had 90 subjects consisting of 65 females (72.2%); 52(57.8%) patients were aged 60 years old or older; 72(80.0%) patients received insulin injections; 18(20.0%) patients received oral diabetes medication; 71(78.9%) patients had diabetes for more than five years; 84(93.3%) patients had co-morbidities, and 54(60.0%) patients had hypoglycemia at home at least once within the past week.</p><p>The control group consisted of 270 subjects: 187(69.3%) patients were females; 158(58.5%) patients were aged 60 years old or older; 119(44.1%) patients received insulin injections; 151(55.9%) patients received oral diabetes medication; 139(51.5%) patients had diabetes for more than five years; 215(79.6%) patients had co-morbidities; and 30(11.1%) patients had hypoglycemia at home at least once within the last week.</p><p>The final multiple logistic regression model, which included five variables, found that the factors related to a greater likelihood of hospitalization due to hypoglycemia among diabetics were (<xref ref-type="table" rid="table2">Table 2</xref>): 1) patients using insulin injections were at a 20.75 times greater risk of hospitalization due to hypoglycemia (95% CI: 4.7 - 91.49) than patients who received oral medication; 2) diabetics who had poor knowledge about hypoglycemia symp- toms e.g., confusion, sweating, tachycardia and dizziness, were at greater risk for hospitalization due to hypoglycemia (AOR = 7.97; 95% CI: 1.97 - 32.22); 3) diabetics who adjusted for doses of medication on their own were at 6.62 times (95% CI: 1.30 - 33.70) greater risk for hospitalization due to hypoglycemia; 4) diabetics who practiced improper hypoglycemia prevention self-care behavior were at 13.89 times (95% CI: 1.92 - 100.31) greater risk for hospitalization due to hypoglycemia than patients who practice proper hypoglycemic prevention strategies, such as regularly carrying sugar or candy with them; and 5) diabetics who were hypoglycemic at home within the past week were 8.83 times more likely to be hospitalized (95% CI: 2.58 - 30.20).</p></sec><sec id="s4"><title>4. Discussion</title><p>This study aimed to explore the risk factors for diabetic patients who were hospitalized due to hypoglycemia with in order to inform community health service policy and to modify the clinical practice guidelines for better hypoglycemia prevention strategies.</p><p>In this case-control study, we found that those receiving insulin injection therapy alone were at 20.75 times greater risk for hypoglycemia than diabetics who received oral hypoglycemia agent alone. Previous studies have obtained similar results; for instance, a study of 1055 diabetic patients in an outpatient specialty diabetes clinic found that patients who used any insulin had a prevalence of hypoglycemia as high as 30% compared with 16% in patients using oral agents alone and only 12% for patients treated with a diet alone. The authors argued that although these were mild hypoglycemic cases and the severe form was rare, efforts to achieve tight glycemiccontrol should not be deterred [<xref ref-type="bibr" rid="scirp.48421-ref12">12</xref>] . However, our finding highlights an important point: the risk of hypoglyce- mia when using insulin alone was much greater than when using an oral anti-hypoglycemic alone. We also observed that severe hypoglycemia was common among patients who used insulin alone. Similar findings were found in other settings demonstrating increased severity of hypoglycemia in patients with insulin-treated</p><table-wrap id="table2"  position="float"><object-id pub-id-type="pii">Table 2</object-id><label>Table 2</label><caption><p>. Risk factors of hospitalization due to hypoglycemia</p></caption><table><thead><tr><th align="center" valign="middle"  rowspan="2"  >Details</th><th align="center" valign="middle"  colspan="2"  >Amount (Percentage)</th><th align="center" valign="middle"  rowspan="2"  >COR</th><th align="center" valign="middle"  rowspan="2"  >AOR</th><th align="center" valign="middle"  rowspan="2"  >Beta coefficient</th><th align="center" valign="middle"  colspan="2"  >95% CI for AOR</th><th align="center" valign="middle"  rowspan="2"  >p-value</th></tr></thead><tbody><tr><td align="center" valign="middle" >Case Group</td><td align="center" valign="middle" >Control Group</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle" >Diabetes Medication -Injected Medication -Oral Medication</td><td align="center" valign="middle" >72(80.0) 18(20.0) 90</td><td align="center" valign="middle" >119(44.1) 151(55.9) 270</td><td align="center" valign="middle" >5.08 1</td><td align="center" valign="middle" >20.75 1</td><td align="center" valign="middle" >3.03</td><td align="center" valign="middle" >4.71</td><td align="center" valign="middle" >91.49</td><td align="center" valign="middle" >0.001<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Knowledge about Presenting Hypoglycemia Symptoms -Incorrect -Correct</td><td align="center" valign="middle" >69(76.7) 21(23.3) 90</td><td align="center" valign="middle" >58(21.5) 212(78.5) 270</td><td align="center" valign="middle" >12.01 1</td><td align="center" valign="middle" >7.97 1</td><td align="center" valign="middle" >2.08</td><td align="center" valign="middle" >1.97</td><td align="center" valign="middle" >32.22</td><td align="center" valign="middle" >0.001<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Past Behaviors in Adjusted for Doses of Medication with Own -Improper -Proper</td><td align="center" valign="middle" >29(32.2) 61(67.8) 90</td><td align="center" valign="middle" >21(7.8) 249(92.2) 270</td><td align="center" valign="middle" >5.64 1</td><td align="center" valign="middle" >6.62 1</td><td align="center" valign="middle" >1.89</td><td align="center" valign="middle" >1.30</td><td align="center" valign="middle" >33.70</td><td align="center" valign="middle" >0.02<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Behavior of Always Carrying Sugar, Candy, or Sweets -Improper -Proper</td><td align="center" valign="middle" >80(88.9) 10(11.1) 90</td><td align="center" valign="middle" >63(23.3) 207(76.7) 270</td><td align="center" valign="middle" >25.75 1</td><td align="center" valign="middle" >13.89 1</td><td align="center" valign="middle" >2.63</td><td align="center" valign="middle" >1.92</td><td align="center" valign="middle" >100.31</td><td align="center" valign="middle" >0.01<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Hypoglycemia Incidence at Home in the Past Week -At Least Once -Never</td><td align="center" valign="middle" >54(60.0) 36(40.0) 90</td><td align="center" valign="middle" >30(11.1) 240(88.9) 270</td><td align="center" valign="middle" >15.87 1</td><td align="center" valign="middle" >8.83 1</td><td align="center" valign="middle" >2.18</td><td align="center" valign="middle" >2.58</td><td align="center" valign="middle" >30.20</td><td align="center" valign="middle" >0.001<sup>*</sup></td></tr></tbody></table></table-wrap><p><sup>*</sup>Statistical significance, Hosmer and Lemeshow test for fitness of model, p-value = 0.988. Definition of abbreviations: COR = Crude Odd Ratio; AOR = Adjusted Relative risk.</p><p>diabetes [<xref ref-type="bibr" rid="scirp.48421-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.48421-ref12">12</xref>] -[<xref ref-type="bibr" rid="scirp.48421-ref14">14</xref>] .</p><p>Our study revealed that both self-care practices and medication adherence behaviors are also significant risk factors for hypoglycemia. Diabetics who adjusted for doses of medication on their own were at 6.62 times greater risk for hypoglycemia and were significantly associated with increased risks for hospitalization. Our results were consistent with other study findings that non-adherent patients had higher all rate of hospitalization (23.2% vs 19.2%, p &lt; 0.001) and higher mortality (5.9% vs, 4.0%, p &lt; 0.001) [<xref ref-type="bibr" rid="scirp.48421-ref15">15</xref>] .</p><p>We found that diabetic patients who had hypoglycemia at home at least once were at 8.83 times greater risk for hypoglycemia requiring hospitalization (95% CI: 2.58 - 30.20) than diabetics who had never had hypoglycemia at home. Consistent with other studies, we found that self-awareness related to hypoglycemia played a significant role on the memory of severe hypoglycemic patients and the levels of self-estimated awareness of Type1 diabetes [<xref ref-type="bibr" rid="scirp.48421-ref16">16</xref>] . Previous studies have found that the group who lacked awareness of hypoglycemia had high rates of severe hypoglycemia: 5.1 and 9.6 times when compared with the group with normal awareness. Our study showed that diabetics who had poor knowledge about hypoglycemic symptoms (AOR = 7.97; 95% CI: 1.97 - 32.22) had a greater risk factor for hospitalization with hypoglycemia.</p><p>Among the identified risk factors of hypoglycemia is impaired awareness in diabetic patients. Studies performed in developed counties have highlighted that hypoglycemia unawareness and a poor level of knowledge about diabetes mellitus occurred in patients with severe hypoglycemia [<xref ref-type="bibr" rid="scirp.48421-ref16">16</xref>] -[<xref ref-type="bibr" rid="scirp.48421-ref19">19</xref>] . This main focus of future study have been interested in diabetic patients of both developed and developing countries with impaired awareness of symptoms of hypoglycemia, in which, there are differences the socio-cultural and life styles, such as food consumption behavior.</p><p>Another study reported that hypoglycemic episodes [<xref ref-type="bibr" rid="scirp.48421-ref20">20</xref>] and the syncope of hypoglycemia were risk factors of dementia and loss of memory or unconscious with slow recovery in diabetic patients. This result was similar to the finding obtained by Lagi A. [<xref ref-type="bibr" rid="scirp.48421-ref21">21</xref>] , who found that hypoglycemia syncope was unconscious and affected 1.9% of diabetic patients using insulin therapy. In addition, older diabetic patients exhibit a slower recovery from the transient loss of conscious, such as confusion, in the absence of autonomic manifestations, such as sweating. Diabetic patient should die due to hypoglycemia. In our study, we showed that diabetics who were treated with insulin, had less self-care capacity, and lacked knowledge and an understanding of symptoms are at a greater risk for hospitalization for severe and potentially fatal hypoglycemia.</p><p>In additional, in Northeast Thailand, diabetes related mortality rates are the highest in the country [<xref ref-type="bibr" rid="scirp.48421-ref22">22</xref>] , which has been demonstrated in a recent study on the association between knowledge and practice, which may be improved for patients from Northeast Thailand. A previous, study identified that a priority for the future management of diabetes in Thailand could be increased screening of diabetes in high-risk populations and complications in all diabetics.</p><p>On the bases of the results of our study, we concluded that diabetic care services in Thailand should be reviewed and should get more attention and support from governmental institutions because hypoglycemia still constitutes as a major risk factor for diabetic patients in Thailand. In addition, we can use the results of this study to strengthen the need for more health promotion programs for better diabetes care service. Thus, health care providers should emphasize health education about hypoglycemia awareness in the diabetic patient. Furthermore, it is essential that medical personnel carefully explore these risks and seek the appropriate guidelines for a more comprehensive treatment and prevention of hypoglycemia for diabetics before diabetics become subject to these above dangers.</p><p>The strength of our study comes from population study cases and control subjects diagnosed by a physician. The sample represented all sectors of diabetic patients hospitalized at a 120-bed middle level hospital in Northeast Thailand. Another limitation of our study was that we reviewed the risk factors of hypoglycemia in a previously published study about hypoglycemia and theories of hypoglycemia in diabetic patients but did not perform in-depth interviews with the diabetic patient. This may result in a lack of risk factors of hypoglycemia due to hospitalization.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In summary, our study found that significant risk factors for hypoglycemia among diabetic patients were patients who received insulin injections alone were poorer medication adherence, and poor knowledge of hypoglycemia prevention self-care behaviors and suffering hypoglycemic events at home. Thus, we proposed that the risk factors found in this study should be used to develop guidelines for a more effective provision of risk for hypoglycemia. The authors state that they have no conflicts of interest.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.48421-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>WILD</surname><given-names> S.</given-names></name>,<name name-style="western"><surname> ROGLIC</surname><given-names> G.</given-names></name>,<name name-style="western"><surname> GREEN</surname><given-names> A.</given-names></name>,<name name-style="western"><surname> SICREE</surname><given-names> R. </given-names></name>,<name name-style="western"><surname> KING</surname><given-names> H. </given-names></name>,<etal>et al</etal>. (<year>2004</year>)<article-title>GLOBAL PREVALENCE OF DIABETES</article-title><source> DIABETES CARE</source><volume> 27</volume>,<fpage> 1047</fpage>-<lpage>1053</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.2337/DIACARE.27.5.1047</pub-id></mixed-citation></ref><ref id="scirp.48421-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">INTERNATIONAL DIABETES FEDERATION (2010) DEATHS ATTRIBUTABLE TO DIABETES MELLITUS. 
HTTP://WWW.IDF.ORG/CONTENT/DEATHS-ATTRIBUTABLE-DIABETES-DM-2010-EUR.</mixed-citation></ref><ref id="scirp.48421-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">BUREAU OF EPIDEMIOLOGY, DEPARTMENT OF DISEASE CONTROL, MINISTRY OF PUBLIC HEALTH (2006) EPIDEMIOLOGIC NOTES AND REPORTS B VIRUS INFECTIONS IN HUMANS—MICHIGAN. REPORTS OF EPIDEMIOLOGICAL MONITORING, 38, 453-455.</mixed-citation></ref><ref id="scirp.48421-ref4"><label>4</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>FA-AMNUAYPON</surname><given-names> P. </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>PROVINCIAL MORTALITY RATES OF 2005</article-title><source> HEALTH SITUATIONS IN THAILAND</source><volume> 2</volume>,<fpage> 1</fpage>-<lpage>6</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.48421-ref5"><label>5</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>FA-AMNUAYPON</surname><given-names> P. </given-names></name>,<etal>et al</etal>. (<year>2006</year>)<article-title>PROVINCIAL MORTALITY RATES OF 2006</article-title><source> HEALTH SITUATION IN THAILAND</source><volume> 2</volume>,<fpage> 1</fpage>-<lpage>6</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.48421-ref6"><label>6</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>SRIVANICHAKORN</surname><given-names> S.</given-names></name>,<name name-style="western"><surname> YANA</surname><given-names> T.</given-names></name>,<name name-style="western"><surname> SANCHAISURIYA</surname><given-names> P.</given-names></name>,<name name-style="western"><surname> MAW</surname><given-names> Y.Y. </given-names></name>,<name name-style="western"><surname> SCHELP</surname><given-names> F.P. </given-names></name>,<etal>et al</etal>. (<year>2013</year>)<article-title>IMPORTANCE OF REGIONAL DIFFERENCE IN THE FEATURES OF TYPE 2 DIABETES MELLITUS IN ONE AND THE SAME COUNTRY: THE EXAMPLE OF THAILAND</article-title><source> JOURNAL OF DIABETES MELLITUS</source><volume> 3</volume>,<fpage> 150</fpage>-<lpage>155</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.4236/JDM.2013.33023</pub-id></mixed-citation></ref><ref id="scirp.48421-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">YANG TALAD HOSPITAL (2008) YANG TALAD HOSPITAL IN-PATIENT RECORDS; 2008-2011 FISCAL YEAR.</mixed-citation></ref><ref id="scirp.48421-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">NAKAGASIEN, P. (2007) DEVELOPMENT OF DATA SET FOR HEALTH CARE SERVICES FOR PEOPLE WITH DIABETES IN A COMMUNITY SOCIO-CULTURAL CONTEXT. UNPUBLISHED DOCTORAL DISSERTATION. KHON KAEN UNIVERSITY, KHON KAEN:</mixed-citation></ref><ref id="scirp.48421-ref9"><label>9</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>LECKIE</surname><given-names> A.M.</given-names></name>,<name name-style="western"><surname> GRAHAM</surname><given-names> M.K.</given-names></name>,<name name-style="western"><surname> GRANT</surname><given-names> J.B.</given-names></name>,<name name-style="western"><surname> RITCHIE</surname><given-names> P.J. </given-names></name>,<name name-style="western"><surname> FRIER</surname><given-names> B.M. </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>FREQUENCY, SEVERITY, AND MORBIDITY OF HYPOGLYCEMIA OCCURRING IN THE WORKPLACE IN PEOPLE WITH INSULIN-TREATED DIABETES</article-title><source> DIABETES CARE</source><volume> 28</volume>,<fpage> 1333</fpage>-<lpage>1338</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.2337/DIACARE.28.6.1333</pub-id></mixed-citation></ref><ref id="scirp.48421-ref10"><label>10</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>ROGLIC</surname><given-names> G.</given-names></name>,<name name-style="western"><surname> UNWIN</surname><given-names> N.</given-names></name>,<name name-style="western"><surname> BENNETT</surname><given-names> P.H.</given-names></name>,<name name-style="western"><surname> MATHERS</surname><given-names> C.</given-names></name>,<name name-style="western"><surname> TUOMILEHTO</surname><given-names> J.</given-names></name>,<name name-style="western"><surname> NAG</surname><given-names> S.</given-names></name>,<name name-style="western"><surname> ET AL. </surname><given-names>  </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>THE BURDEN OF MORTALITY ATTRIBUTABLE TO DIABETES: REALISTIC ESTIMATES FOR THE YEAR 2000</article-title><source> DIABETES CARE</source><volume> 28</volume>,<fpage> 2130</fpage>-<lpage>2135</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.2337/DIACARE.28.9.2130</pub-id></mixed-citation></ref><ref id="scirp.48421-ref11"><label>11</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>BROLL</surname><given-names> S.</given-names></name>,<name name-style="western"><surname> GLASER</surname><given-names> S. </given-names></name>,<name name-style="western"><surname> KREIENBROCK</surname><given-names> L. </given-names></name>,<etal>et al</etal>. (<year>2002</year>)<article-title>BROLL, S., GLASER, S. AND KREIENBROCK, L.  CALCULATING SAMPLE SIZEBOUNDS FOR LOGISTIC REGRESSION</article-title><source> PREVENTIVE VETERINARY MEDICINE [SERIAL ONLINE]</source><volume> 54</volume>,<fpage> 105</fpage>-<lpage>111</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.48421-ref12"><label>12</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>MILLER</surname><given-names> C.D.</given-names></name>,<name name-style="western"><surname> PHILLIPS</surname><given-names> L.S.</given-names></name>,<name name-style="western"><surname> ZIEMER</surname><given-names> D.C.</given-names></name>,<name name-style="western"><surname> GALLINA</surname><given-names> D.L.</given-names></name>,<name name-style="western"><surname> COOK</surname><given-names> C.B. </given-names></name>,<name name-style="western"><surname> EL-KEBBI</surname><given-names> I.M. </given-names></name>,<etal>et al</etal>. (<year>2001</year>)<article-title>HYPOGLYCEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS</article-title><source> ARCHIVES OF INTERNAL MEDICINE</source><volume> 161</volume>,<fpage> 1653</fpage>-<lpage>1659</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1001/ARCHINTE.161.13.1653</pub-id></mixed-citation></ref><ref id="scirp.48421-ref13"><label>13</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>MURATA</surname><given-names> G.H.</given-names></name>,<name name-style="western"><surname> HOFFMAN</surname><given-names> R.M.</given-names></name>,<name name-style="western"><surname> SHAH</surname><given-names> J.H.</given-names></name>,<name name-style="western"><surname> WENDEL</surname><given-names> C.S. </given-names></name>,<name name-style="western"><surname> DUCKWORTH</surname><given-names> W.C. </given-names></name>,<etal>et al</etal>. (<year>2004</year>)<article-title>A PROBABILISTIC MODEL FOR PREDICTING HYPOGLYCEMIA IN TYPE 2 DIABETES MELLITUS: THE DIABETES OUTCOMES IN VETERANS STUDY (DOVES)</article-title><source> ARCHIVES OF INTERNAL MEDICINE</source><volume> 164</volume>,<fpage> 1445</fpage>-<lpage>1450</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1001/ARCHINTE.164.13.1445</pub-id></mixed-citation></ref><ref id="scirp.48421-ref14"><label>14</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>AMIEL</surname><given-names> S.A.</given-names></name>,<name name-style="western"><surname> DIXON</surname><given-names> T.</given-names></name>,<name name-style="western"><surname> MANN</surname><given-names> R. </given-names></name>,<name name-style="western"><surname> JAMESON</surname><given-names> K. </given-names></name>,<etal>et al</etal>. (<year>2008</year>)<article-title>HYPOGLYCAEMIA IN TYPE 2 DIABETES</article-title><source> DIABETIC MEDICINE</source><volume> 25</volume>,<fpage> 245</fpage>-<lpage>254</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1111/J.1464-5491.2007.02341.X</pub-id></mixed-citation></ref><ref id="scirp.48421-ref15"><label>15</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>HO</surname><given-names> P.</given-names></name>,<name name-style="western"><surname> RUMSFELD</surname><given-names> J.S.</given-names></name>,<name name-style="western"><surname> MASOUDI</surname><given-names> F.A.</given-names></name>,<name name-style="western"><surname> ET AL. </surname><given-names>  </given-names></name>,<etal>et al</etal>. (<year>2006</year>)<article-title>EFFECT OF MEDICATION NONADHERENCE ON HOSPITALIZATION AND MORTALITY AMONG PATIENTS WITH DIABETES MELLITUS</article-title><source> ARCHIVES OF INTERNAL MEDICINE</source><volume> 166</volume>,<fpage> 1836</fpage>-<lpage>1841</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1001/ARCHINTE.166.17.1836</pub-id></mixed-citation></ref><ref id="scirp.48421-ref16"><label>16</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>PEDERSEN-BJERGAARD</surname><given-names> U.</given-names></name>,<name name-style="western"><surname> PRAMMING</surname><given-names> S.</given-names></name>,<name name-style="western"><surname> THORSTEINSSON</surname><given-names> B. </given-names></name>,<name name-style="western"><surname> THORSTEINSSON</surname><given-names> B. </given-names></name>,<etal>et al</etal>. (<year>2003</year>)<article-title>RECALL OF SEVERE HYPOGLYCAEMIA AND SELF-ESTIMATED STATE OF AWARENESS IN TYPE 1 DIABETES</article-title><source> DIABETES/METABOLISM RESEARCH AND REVIEWS</source><volume> 19</volume>,<fpage> 232</fpage>-<lpage>240</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1002/DMRR.377</pub-id></mixed-citation></ref><ref id="scirp.48421-ref17"><label>17</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>SOTIROPOULOS</surname><given-names> A.</given-names></name>,<name name-style="western"><surname> SKLIROS</surname><given-names> E.A.</given-names></name>,<name name-style="western"><surname> TOUNTAS</surname><given-names> C.</given-names></name>,<name name-style="western"><surname> APOSTOLOU</surname><given-names> U.</given-names></name>,<name name-style="western"><surname> PEPPAS</surname><given-names> T.A. </given-names></name>,<name name-style="western"><surname> PAPPAS</surname><given-names> S.I. </given-names></name>,<etal>et al</etal>. (<year>2005</year>)<article-title>SOTIROPOULOS, A., SKLIROS, E.A., TOUNTAS, C., APOSTOLOU, U., PEPPAS, T.A. AND PAPPAS, S.I.  RISK FACTORS FOR SEVERE HYPOGLYCAEMIA IN TYPE 2 DIABETIC PATIENTS ADMITTED TO HOSPITAL IN PIRAEUS, GREECE</article-title><source> THE EASTERN MEDITERRANEAN HEALTH JOURNAL</source><volume> 11</volume>,<fpage> 48</fpage>-<lpage>49</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.48421-ref18"><label>18</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>GRVELING</surname><given-names> A.J. </given-names></name>,<name name-style="western"><surname> FRIER</surname><given-names> B.M. </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>IMPRAIRED AWARENESS OF HYPOGLYCEMIA: A REVIEW</article-title><source> DIABETES AND METABOLISM</source><volume> 36</volume>,<fpage> 64</fpage>-<lpage>74</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1016/S1262-3636(10)70470-5</pub-id></mixed-citation></ref><ref id="scirp.48421-ref19"><label>19</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>ELLIOTT</surname><given-names> J. </given-names></name>,<name name-style="western"><surname> HELLER</surname><given-names> S. </given-names></name>,<etal>et al</etal>. (<year>2011</year>)<article-title>HYPOGLYCEMIA UNAWARENESS</article-title><source> PRACTICAL DIABETES</source><volume> 28</volume>,<fpage> 227</fpage>-<lpage>232</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1002/PDI.1600</pub-id></mixed-citation></ref><ref id="scirp.48421-ref20"><label>20</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>WHITMER</surname><given-names> R.A.</given-names></name>,<name name-style="western"><surname> KARTER</surname><given-names> A.J.</given-names></name>,<name name-style="western"><surname> YAFFE</surname><given-names> K.</given-names></name>,<name name-style="western"><surname> QUESENBERRY</surname><given-names> JR.</given-names></name>,<name name-style="western"><surname> C.P. </surname><given-names> SELBY</given-names></name>,<name name-style="western"><surname> J.V. </surname><given-names>  </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>HYPOGLYCEMIC EPISODES AND RISK OF DEMENTIA IN OLDER PATIENTS WITH TYPE DIABETES MELLITUS</article-title><source> JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION</source><volume> 301</volume>,<fpage> 1565</fpage>-<lpage>1572</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.1001/JAMA.2009.460</pub-id></mixed-citation></ref><ref id="scirp.48421-ref21"><label>21</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>LAGI</surname><given-names> A. </given-names></name>,<etal>et al</etal>. (<year>2011</year>)<article-title>SYNCOPE AND HYPOGLYCEMIA</article-title><source> INTERNATIONAL JOURNAL OF CLINICAL MEDICINE</source><volume> 2</volume>,<fpage>129</fpage>-<lpage>132</lpage>.<pub-id pub-id-type="doi">HTTP://DX.DOI.ORG/10.4236/IJCM.2011.22023</pub-id></mixed-citation></ref><ref id="scirp.48421-ref22"><label>22</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>DEEROCHANAWONG</surname><given-names> C. </given-names></name>,<name name-style="western"><surname> FERRARIO</surname><given-names> A. </given-names></name>,<etal>et al</etal>. (<year>2013</year>)<article-title>DEEROCHANAWONG, C. AND FERRARIO, A.  DIABETES MANAGEMENT IN THAILAND: A LITERATURE REVIEW OF THE BURDEN, COSTS, AND OUTCOMES</article-title><source> GLOBALIZATION AND HEALTH</source><volume> 11</volume>,<fpage> 1</fpage>-<lpage>18</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref></ref-list></back></article>