Víctor Juan Vera-Ponce , Gianella Zulema Zeñas-Trujillo , Joan A. Loayza-Castro , Jamee Guerra Valencia , Fiorella E. Zuzunaga-Montoya , Mario J. Valladares-Garrido , Cori Raquel Iturregui Paucar , Jhony A. De La Cruz-Vargas
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A secondary analysis was conducted on the Demographic and Family Health Survey (ENDES) from 2018 to 2021. The main variable of the present study was the depression score. Numerical variables were presented as mean and confidence interval at 95 % (CI 95 %). A generalized linear model of the Gaussian family and Identity link function was performed to evaluate the strength of association between the variables of interest.</p></div><div><h3>Results</h3><p>The average depression score in the study population was 2.61 (95 % CI 2.56–2.65). In the multivariable analysis, the depression score increased for each unit that increased the BMI by 0.011 points (β = 0.011; 95 % CI 0.002–0.020), the WHtR by 0.207 points (β = 0.207; 95 % CI 0.145–0.267), the ABSI by 0.158 points (β = 0.158; IC95% 0.047–0.269), the BRI by 0.096 points (β = 0.096; IC95% 0.069–0.122), and the CI by 0.010 points (β = 0.010; IC95% 0.004–0.016). There was no statistically significant association for WC.</p></div><div><h3>Conclusions</h3><p>The WHtR may be a better marker of obesity for identifying patients with depressive symptoms compared to other markers.</p></div>","PeriodicalId":34427,"journal":{"name":"Endocrine and Metabolic Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of new obesity markers with symptoms of depression: Analysis of a 4-year Peruvian national survey\",\"authors\":\"Víctor Juan Vera-Ponce , Gianella Zulema Zeñas-Trujillo , Joan A. Loayza-Castro , Jamee Guerra Valencia , Fiorella E. Zuzunaga-Montoya , Mario J. Valladares-Garrido , Cori Raquel Iturregui Paucar , Jhony A. De La Cruz-Vargas\",\"doi\":\"10.1016/j.endmts.2023.100141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Although body mass index (BMI) and waist circumference (WC) are the most commonly used obesity markers in clinical practice regarding depression, some studies suggest that other obesity markers such as waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) may be more accurate in identifying patients with depression.</p></div><div><h3>Objective</h3><p>To determine the relationship between different markers of obesity and the presence of symptoms of depression.</p></div><div><h3>Methods</h3><p>Analytical cross-sectional study. A secondary analysis was conducted on the Demographic and Family Health Survey (ENDES) from 2018 to 2021. The main variable of the present study was the depression score. Numerical variables were presented as mean and confidence interval at 95 % (CI 95 %). A generalized linear model of the Gaussian family and Identity link function was performed to evaluate the strength of association between the variables of interest.</p></div><div><h3>Results</h3><p>The average depression score in the study population was 2.61 (95 % CI 2.56–2.65). In the multivariable analysis, the depression score increased for each unit that increased the BMI by 0.011 points (β = 0.011; 95 % CI 0.002–0.020), the WHtR by 0.207 points (β = 0.207; 95 % CI 0.145–0.267), the ABSI by 0.158 points (β = 0.158; IC95% 0.047–0.269), the BRI by 0.096 points (β = 0.096; IC95% 0.069–0.122), and the CI by 0.010 points (β = 0.010; IC95% 0.004–0.016). 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引用次数: 0
摘要
虽然身体质量指数(BMI)和腰围(WC)是抑郁症临床实践中最常用的肥胖指标,但一些研究表明,腰高比(WHtR)、体型指数(ABSI)、身体圆度指数(BRI)和圆度指数(CI)等其他肥胖指标可能更准确地识别抑郁症患者。目的探讨不同肥胖指标与抑郁症状的关系。方法分析性横断面研究。对2018年至2021年人口与家庭健康调查(ENDES)进行了二次分析。本研究的主要变量为抑郁评分。数值变量以95% (CI 95%)的平均值和置信区间表示。采用高斯族和恒等链接函数的广义线性模型来评估感兴趣的变量之间的关联强度。结果研究人群的平均抑郁评分为2.61分(95% CI 2.56 ~ 2.65)。在多变量分析中,BMI每增加0.011分,抑郁评分就会增加(β = 0.011;95% CI 0.002-0.020), WHtR降低0.207点(β = 0.207;95% CI 0.145-0.267), ABSI下降0.158点(β = 0.158;IC95%为0.047-0.269),BRI为0.096点(β = 0.096;IC95%为0.069 ~ 0.122),CI为0.010点(β = 0.010;IC95% 0.004 - -0.016)。与WC的相关性无统计学意义。结论与其他指标相比,WHtR可能是识别抑郁症状的较好肥胖指标。
Association of new obesity markers with symptoms of depression: Analysis of a 4-year Peruvian national survey
Introduction
Although body mass index (BMI) and waist circumference (WC) are the most commonly used obesity markers in clinical practice regarding depression, some studies suggest that other obesity markers such as waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) may be more accurate in identifying patients with depression.
Objective
To determine the relationship between different markers of obesity and the presence of symptoms of depression.
Methods
Analytical cross-sectional study. A secondary analysis was conducted on the Demographic and Family Health Survey (ENDES) from 2018 to 2021. The main variable of the present study was the depression score. Numerical variables were presented as mean and confidence interval at 95 % (CI 95 %). A generalized linear model of the Gaussian family and Identity link function was performed to evaluate the strength of association between the variables of interest.
Results
The average depression score in the study population was 2.61 (95 % CI 2.56–2.65). In the multivariable analysis, the depression score increased for each unit that increased the BMI by 0.011 points (β = 0.011; 95 % CI 0.002–0.020), the WHtR by 0.207 points (β = 0.207; 95 % CI 0.145–0.267), the ABSI by 0.158 points (β = 0.158; IC95% 0.047–0.269), the BRI by 0.096 points (β = 0.096; IC95% 0.069–0.122), and the CI by 0.010 points (β = 0.010; IC95% 0.004–0.016). There was no statistically significant association for WC.
Conclusions
The WHtR may be a better marker of obesity for identifying patients with depressive symptoms compared to other markers.