<?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">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2019.114034</article-id><article-id pub-id-type="publisher-id">Health-92149</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Depression in Climacteric Women: Most Meaningful Symptoms
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Olivia</surname><given-names>A. Figueira</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>Helena</surname><given-names>A. Figueira</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Joana</surname><given-names>A. Figueira</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>Antonio</surname><given-names>A. Garcia</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>Alan</surname><given-names>A. Figueira</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>Geraldo</surname><given-names>Maranhão Neto</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>Estelio</surname><given-names>H. M. Dantas</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Laboratory of Biomedical Human Kinetics (LABIMH)/Rio de Janeiro Federal University (UNIRIO), Rio de Janeiro, RJ, Brazil</addr-line></aff><aff id="aff3"><addr-line>Education Department, Almeria University, Almería, Spain</addr-line></aff><aff id="aff4"><addr-line>Salgado de Oliveira University (UNIVERSO), Niterói, RJ, Brazil</addr-line></aff><aff id="aff1"><addr-line>International Human Motricity Network, IHMN, Rio de Janeiro, RJ, Brazil</addr-line></aff><pub-date pub-type="epub"><day>12</day><month>04</month><year>2019</year></pub-date><volume>11</volume><issue>04</issue><fpage>380</fpage><lpage>390</lpage><history><date date-type="received"><day>16,</day>	<month>March</month>	<year>2019</year></date><date date-type="rev-recd"><day>25,</day>	<month>April</month>	<year>2019</year>	</date><date date-type="accepted"><day>28,</day>	<month>April</month>	<year>2019</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: With population aging occurring worldwide, promoting climacteric women’s health has become the object of important studies. 
  Purpose: Observing the prevalence of depression in climacteric women and their self-evaluation of the depression factors is the main goal of this study. 
  Design: This cross-sectional research is enquiry descriptive. 
  Methods: The sample was composed of 48 climacteric women (between 45 and 65 years old) non-selected volunteers, served by the Centers for Psycho and Social Attention (CAPS) of Specialized Mental Medicine, in Sorocaba, via the Beck Depression Inventory (BDI) questionnaire. 
  Results: Checking the mean and frequency distribution, the climacteric women presented a prevalence of 37.5% of moderate depression (BDI
  <sub>index</sub> = 24.39 &#177; 3.13), and 47.92% of severe depression (BDI
  <sub>index </sub>= 38.13 &#177; 6.78). Concerning the symptoms, Spearman rank order correlation was found as the highest concerns, hierarchically: indecision (r = 0.72, p &lt; 0.001), anhedonia (r = 0.66, p &lt; 0.001), guilt (r = 0.63, p &lt; 0.001), crying (r = 0.62, p &lt; 0.001), self-esteem (r = 0.60, p &lt; 0.001), inutility (r = 0.59, p &lt; 0.001), self-criticism (r = 0.58, p &lt; 0.001) and loss of concentration (r = 0.57, p &lt; 0.001). 
  Conclusions: The prevalence of depression in these CAPS climacteric women was considered very high (86% ranking from moderate to severe) caused mostly by indecision, anhedonia, guilt, crying and self-esteem, followed by inutility, self-criticism and loss of concentration.
 
</p></abstract><kwd-group><kwd>Climacteric</kwd><kwd> Depression</kwd><kwd> Symptoms Hierarchy</kwd><kwd> Women’s Health</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Depression is defined as a normal human emotion, a clinical symptom and a group of syndromes or disturbances characterized by a painful or unpleasant affective state, with losses in motor, perceptive and cognitive performance: loss of interest and pleasure in the activities that used to be meaningful, reduction of energy, somatic anxiety, intermediate and terminal insomnia, reduction of sexual interest, psychomotor retardation, cognitive difficulty, loss of hope, reduction of self-esteem and recurrent thinking of death [<xref ref-type="bibr" rid="scirp.92149-ref1">1</xref>] . The probability of a man presenting a severe depressive disorder ranges from 5% to 12% and the probability of a woman presenting a grave depressive disorder varies from 10% to 25%, during their lives [<xref ref-type="bibr" rid="scirp.92149-ref2">2</xref>] . It has long been recognized that women are at a higher risk than men of developing depression and that this risk is particularly associated with reproductive cycle events [<xref ref-type="bibr" rid="scirp.92149-ref3">3</xref>] .</p><p>The hormonal changes in women [<xref ref-type="bibr" rid="scirp.92149-ref4">4</xref>] as their complain of climacteric and other sub-liminary symptoms are most frequently associated with psychic complaints [<xref ref-type="bibr" rid="scirp.92149-ref5">5</xref>] . Some comorbidities associated with menopause are [<xref ref-type="bibr" rid="scirp.92149-ref6">6</xref>] metabolic syndrome, high blood pressure, cardiovascular disease, obesity, cancer, low bone mineralization, arthritis and neurodegenerative disorders [<xref ref-type="bibr" rid="scirp.92149-ref7">7</xref>] . These factors contribute to the reduction of their autonomous functioning [<xref ref-type="bibr" rid="scirp.92149-ref8">8</xref>] , compromising their self-esteem and self-image [<xref ref-type="bibr" rid="scirp.92149-ref9">9</xref>] .</p><p>The Centers for Psycho and Social Attention (CAPS) [<xref ref-type="bibr" rid="scirp.92149-ref10">10</xref>] have a strategic value for the Brazilian Psychiatric Reform [<xref ref-type="bibr" rid="scirp.92149-ref11">11</xref>] , as a substitute option to mental health hospitals [<xref ref-type="bibr" rid="scirp.92149-ref12">12</xref>] . They have shown effectiveness in the substitution of long-term internment that isolates patients from their family and the community [<xref ref-type="bibr" rid="scirp.92149-ref13">13</xref>] . Offering daily clinical support, such as access to a psychiatrist, they avoid admission into mental hospitals [<xref ref-type="bibr" rid="scirp.92149-ref14">14</xref>] and promote social inclusion and care for the subject as someone unique, with their own history, their personal culture and their daily needs [<xref ref-type="bibr" rid="scirp.92149-ref15">15</xref>] .</p><p>Bearing in mind the higher prevalence of depression in women [<xref ref-type="bibr" rid="scirp.92149-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref18">18</xref>] , considering that depression is commonly associated with climacteric [<xref ref-type="bibr" rid="scirp.92149-ref19">19</xref>] and that negative attitude towards menopause is associated with more frequently reported symptoms [<xref ref-type="bibr" rid="scirp.92149-ref20">20</xref>] , investigating climacteric and its association with depression, observing their values and anguishes are of great relevance to establish humanized health programs.</p><p>With increased life expectancy, nowadays, women spend one-third of their life after menopause [<xref ref-type="bibr" rid="scirp.92149-ref21">21</xref>] , and those with diagnosed menopause symptoms present higher medical and pharmacy costs as much as lower productivity [<xref ref-type="bibr" rid="scirp.92149-ref22">22</xref>] . Women in menopause should not be forgotten [<xref ref-type="bibr" rid="scirp.92149-ref19">19</xref>] .</p><p>Therefore, the goal of the present study was to check the prevalence of depression and its most associated symptoms in climacteric women, served by the CAPS of Specialized Mental Medicine, in Sorocaba, Brazil.</p></sec><sec id="s2"><title>2. Methods</title><p>The present cross-sectional research had its sample composed of climacteric women, selected among those served by CAPS of Specialized Mental Medicine, in Sorocaba. The sample of 48 climacteric women represented 65.75% of the climacteric population served by this CAPS. The inclusion criteria were: being attended by the referred to CAPS, and being in the climacteric. The exclusion criterion was self-disorientation, that was diagnosed by the psychiatrist responsible for the research. The application of the Beck Depression Inventory (BDI), after the signing of the consent forms, was done in the presence of the first author, a psychiatrist, during clinical ambulatory appointment, from March to October 2018.</p><p>The present study complies with the Rules for Research in Human Beings following the principles defined by the Helsinki Declaration [<xref ref-type="bibr" rid="scirp.92149-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref24">24</xref>] . The research project was submitted to the Ethics Committee of the Institute of Medical Research and Study of the state of Minas Gerais―IPEMED―of the Medical University Gama Filho, UGF, and it was approved. Depression was evaluated via the Beck Depression Inventory (BDI), created by Aaron Beck, which has been validated internationally [<xref ref-type="bibr" rid="scirp.92149-ref25">25</xref>] as well as in Brazil [<xref ref-type="bibr" rid="scirp.92149-ref26">26</xref>] . Beck developed a triad of negative cognitions about the world, the future and the self which play a major role in depression, and the BDI comprises 21 questions with four answer options for each one (0 - 3), therefore the total points score for the inventory can oscillate between zero and 63, where the highest score indicates the highest depression [<xref ref-type="bibr" rid="scirp.92149-ref27">27</xref>] . The score evaluation suggested by Beck is: a) 0 - 9 = no depression; b) 10 - 18 = mild to medium depression; c) 19 - 29 = medium to severe depression; d) 30 - 63 = severe depression.</p><p>The statistical analysis included the descriptive statistics: mean, standard deviation and median. Spearman’s correlation was calculated to verify the most significant symptoms in the determination of depression in the sample. The statistical results were presented as tables and graphics. For this statistical analysis, Excel and SPSS 16.0 software were used.</p></sec><sec id="s3"><title>3. Results</title><p>Some socio-demographic characteristics and symptoms presented by these climacteric women are listed in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>At the conclusion of the BDI investigation, it was observed that the climacteric women presented frequency within the four levels of the Beck Depression Inventory, BDI, as displayed in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>As seen in <xref ref-type="table" rid="table2">Table 2</xref>, according to the levels defined by Beck, in the original project for the Beck Depression Inventory most of the population reported medium to severe or severe depression.</p><p>The BDI results provide a quantitative assessment of the intensity of depression, reflecting the depth of depression.</p><p>The descriptive analysis of the BDI score is presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>. The medium score was 28.96, with standard deviation equal to 11.41; its distribution showed relative symmetry, with a slightly bigger variation in the higher scores.</p><p>The Spearman correlation results presented in <xref ref-type="table" rid="table3">Table 3</xref> show the symptoms that contributed the most to the final score.</p><p>It can be seen in <xref ref-type="table" rid="table3">Table 3</xref> that the most significant complaints (p &lt; 0.001), and the ones that showed high average correlation were respectively (in decreasing order): indecision, anhedonia, guilt, crying and self-esteem. Sadness, pessimism, failures from the past, self-criticism, loss of interest in activities, inutility, loss of energy, irritability, loss of appetite, loss of concentration and tiredness and fatigue, all these topics showed an average Spearman index of correlation with depression complaints, with statistical significance. The exceptions were suicidal thoughts, loss of sexual interest, sleeping alteration, agitation and punishment.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic characteristics and symptoms of the climacteric women</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Yes</th><th align="center" valign="middle" >No</th></tr></thead><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" >26%</td><td align="center" valign="middle" >74%</td></tr><tr><td align="center" valign="middle" >Employed</td><td align="center" valign="middle" >33%</td><td align="center" valign="middle" >67%</td></tr><tr><td align="center" valign="middle" >Marital Partner</td><td align="center" valign="middle" >28%</td><td align="center" valign="middle" >72%</td></tr><tr><td align="center" valign="middle" >High School Level</td><td align="center" valign="middle" >14%</td><td align="center" valign="middle" >86%</td></tr><tr><td align="center" valign="middle" >Drug Addicted</td><td align="center" valign="middle" >59%</td><td align="center" valign="middle" >41%</td></tr><tr><td align="center" valign="middle" >Co-morbidities</td><td align="center" valign="middle" >63%</td><td align="center" valign="middle" >37%</td></tr><tr><td align="center" valign="middle" >Hormone Therapy</td><td align="center" valign="middle" >61%</td><td align="center" valign="middle" >39%</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> BDI frequency distribution</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Depression</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >No Depression</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >4.2</td></tr><tr><td align="center" valign="middle" >Mild Depression</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >10.4</td></tr><tr><td align="center" valign="middle" >Medium Depression</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >37.4</td></tr><tr><td align="center" valign="middle" >Severe Depression</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >48.0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>Obs: BDI = Beck Depression Inventory.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Spearman correlation and statistical significance (p-value) between the symptoms and the final BDI score</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Symptoms</th><th align="center" valign="middle" >Spearman Correlation</th><th align="center" valign="middle" >Classification</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Sadness</td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Pessimism</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Failures from the past</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Anhedonia</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >High Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Guilt</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >High Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Punishment</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Self-esteem</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >High Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Self-criticism</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Suicidal thoughts</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >Low Average</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Crying</td><td align="center" valign="middle" >0.62</td><td align="center" valign="middle" >High Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Agitation</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >Low Average</td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Loss of interest in activities</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >Indecision</td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >High Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Inutility</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Loss of energy</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Sleeping Alteration</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Irritability</td><td align="center" valign="middle" >0.49</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Loss of appetite</td><td align="center" valign="middle" >0.45</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Loss of concentration</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Tiredness and fatigue</td><td align="center" valign="middle" >0.55</td><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Loss of sexual interest</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >Low Average</td><td align="center" valign="middle" >0.06</td></tr></tbody></table></table-wrap><p>Because over 86% of the climacteric women who answered the inventory showed levels of moderate to severe depression in the Beck Depression Inventory, the self-evaluation of these climacteric women randomly selected among the ones served by the CAPS of Specialized Mental Medicine in Sorocaba can be considered very high.</p></sec><sec id="s4"><title>4. Discussion</title><p>Researches show that among climacteric women, the symptoms and the more frequent psycho-physiological problems can be related to the lack of information, the life history and to the woman’s family and cultural context [<xref ref-type="bibr" rid="scirp.92149-ref28">28</xref>] . The occurrence of climacteric complaints affects perceived health status [<xref ref-type="bibr" rid="scirp.92149-ref5">5</xref>] , that is, the well-being and quality of a woman’s life. Therefore, giving them knowledge of their new position in life can empower them to new strategies [<xref ref-type="bibr" rid="scirp.92149-ref29">29</xref>] , and to a healthier living.</p><p>Some women have a hormonal vulnerability to mood disorders; however, for menopausal depression, there appears to be a complex interplay between hormonal vulnerability, the psychosocial resources one has, physical activity and stressful life events [<xref ref-type="bibr" rid="scirp.92149-ref30">30</xref>] . It has been revealed that depression is lower during physical activity [<xref ref-type="bibr" rid="scirp.92149-ref31">31</xref>] , and cross-sectional studies typically report a reduction in menopausal effects with physical activity, with active women reporting fewer or less severe symptoms [<xref ref-type="bibr" rid="scirp.92149-ref32">32</xref>] . Usually, depressed climacteric women report a painful past, a present where depression became their lives background, and a dark future perspective [<xref ref-type="bibr" rid="scirp.92149-ref33">33</xref>] .</p><p>Transition to menopause and its changing hormonal milieu are strongly associated with a new onset of depressed mood among women with no history of depression [<xref ref-type="bibr" rid="scirp.92149-ref34">34</xref>] . Menopausal status remains an independent predictor of higher depressive symptoms [<xref ref-type="bibr" rid="scirp.92149-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref36">36</xref>] . In this study, the climacteric women reported that indecision, anhedonia, guilt, crying and low self-esteem are the biggest causes of depression, which are essentially symptoms of climacteric, and there is strong evidence that psychological climacteric symptoms can be linked not only to hormonal but also to social factors that coincide with the menopause [<xref ref-type="bibr" rid="scirp.92149-ref37">37</xref>] . In Korea [<xref ref-type="bibr" rid="scirp.92149-ref38">38</xref>] and in South Africa [<xref ref-type="bibr" rid="scirp.92149-ref39">39</xref>] , low self-esteem is the biggest cause of climacteric depression. From melancholia to “empty nest syndrome”, an association between menopausal transition and the emergence of depression continues to be the focus of controversy [<xref ref-type="bibr" rid="scirp.92149-ref40">40</xref>] . The distinction between specific and non-specific symptoms may be useful for aetiological research on biological, psychological and environmental factors [<xref ref-type="bibr" rid="scirp.92149-ref41">41</xref>] , as there is no scale to properly evaluate them nowadays [<xref ref-type="bibr" rid="scirp.92149-ref42">42</xref>] .</p><p>Due to the high prevalence of depression in climacteric women [<xref ref-type="bibr" rid="scirp.92149-ref43">43</xref>] , nowadays climacteric treatment considers the possibility of the use of antidepressant medication (except for vascular symptoms) [<xref ref-type="bibr" rid="scirp.92149-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref44">44</xref>] . The contribution of reproductive hormones to mood has been the focus of considerable research, but results from clinical and epidemiological studies have been inconsistent, remaining unclear as to whether alterations in serum hormone levels across the menopausal transition are linked to depressive symptoms [<xref ref-type="bibr" rid="scirp.92149-ref35">35</xref>] .</p><p>The most significant complaints reported by women in this research in decreasing order were: indecision, anhedonia, guilt, crying and self-esteem. Suicidal thoughts, loss of sexual interest, agitation and punishment did not show correlation or statistical relevance. Anhedonia (a loss of the capacity to feel pleasure) has been considered as a premorbid personological trait or as a main symptom of a picture of major depressive clinical [<xref ref-type="bibr" rid="scirp.92149-ref45">45</xref>] . It is a complex psychological condition related to major depression [<xref ref-type="bibr" rid="scirp.92149-ref46">46</xref>] . Contrary to our findings, in Seattle climacteric women’s depressed mood is correlated with sleep disruption, difficulty with concentration and decreased sexual desire [<xref ref-type="bibr" rid="scirp.92149-ref47">47</xref>] .</p><p>The climacteric women evaluated in this study, having been previously sent to a psychiatrist, and therefore presented a possible tendency toward significant psychiatric complaints, suggesting that depression findings in climacteric women can be lower than those found in this research, at least in gravity, though not in the specific reported complaints. Yet the elevated index of depressive symptoms found in this epidemiological research shows the importance of diagnosis and treatment for this condition, which frequently passes unknown.</p><p>It seems mandatory to treat depression in climacteric women by giving attention to the climacteric itself, focusing on the depression as much as treating the climacteric syndrome [<xref ref-type="bibr" rid="scirp.92149-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.92149-ref50">50</xref>] , helping patients to manage their lives and deal with personal relationships [<xref ref-type="bibr" rid="scirp.92149-ref51">51</xref>] . Depression among climacteric women is an important public health problem that requires attention [<xref ref-type="bibr" rid="scirp.92149-ref52">52</xref>] . Scientific evidence contributes to a re-evaluation of depression and climacteric [<xref ref-type="bibr" rid="scirp.92149-ref44">44</xref>] , and the mental health care needs to be integrated within all other health and social policy aspects as well as being considered in the health system planning.</p><p>Limitations of the present study include the fact that responsiveness was not assessed using an interventional design, a before and a after. Another limitation is that no external measure was considered to provide a reference of association with comorbidities. Limitations should also consider that we had to rely on patient and investigator ratings of overall depression severity, limitation common to self-report inventories, in that scores can be easily exaggerated or minimized.</p></sec><sec id="s5"><title>5. Conclusions and Recommendations</title><p>The prevalence of depression self-evaluated by these climacteric women, randomly selected among those served by a CAPS Mental Specialized Medicine, is very high according to the levels defined by Beck, in his BDI project, and presents as the most significant complaints, in decreasing order, indecision, anhedonia, guilt, crying and self-esteem, followed by inutility, self-criticism and loss of concentration.</p><p>These complaints should be taken into consideration when dealing with that particular population. Attention referring to the conditions surrounding depression in climacteric women is a theme of social and scientific relevance.</p><p>It is suggested that services and projects attending climacteric women consider these specific scientific findings determined by the self-evaluation of the climacteric women regarding their depression.</p><p>With population aging worldwide and women having a higher life expectation nowadays, it is important to continue research in the field of depression, as well as on the neuropsychiatric problems of climacteric women, as the symptoms can be linked not only to hormonal and social factors, but also to other unknown factors.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Figueira, O.A., Figueira, H.A., Figueira, J.A., Garcia, A.A., Figueira, A.A., Neto, G.M. and Dantas, E.H.M. 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