Severe obesity increases the prevalence but not the incidence of depressive symptoms in the elderly-population-based cohort in Southern Brazil

Goes, Vanessa Fernanda; Wazlawik, Elisabeth; d’Orsi, Eleonora; González‐Chica, David Alejandro

doi:10.1017/s1041610216002246

Cited by 6 publications

(3 citation statements)

References 28 publications

(61 reference statements)

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“…In another multicenter study, which included baseline data from 17 European countries, the percentage of obesity among depressed and non-depressed elderly people was 29% and 23%, respectively (p < 0.001) [15]. Furthermore, a large community-based study in Southern Brazil by Goes et al [26] reported that obese elderly people had higher prevalence of being depressed than those with normal weight (OR = 2.34). The relationship between body weight status and depression is multifactorial and seems to be influenced by biological, psychological, and behavior-related factors [27].…”

Section: Discussionmentioning

confidence: 97%

Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship

Tsaras¹,

Tsiantoula²,

Papathanasiou³

et al. 2021

Cureus

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The aim of this study was to examine associated factors of depression and insomnia in community-dwelling elderly people in order to identify independent predictors. Materials and methods A cross-sectional study was conducted among 250 older people aged 60 years and over living in an urban area. A stratified random sampling method was used for recruiting samples from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics, 15-item Geriatric Depression Scale (GDS-15), and Athens Insomnia Scale (AIS). Simple and multiple logistic regression analysis was performed. Results The prevalence of depression and insomnia was 28.4% (95% CI: 22.9-33.9) and 39.2% (95% CI: 33.0-45.4), respectively. Our findings showed that the overall GDS-15 score was positively related to the overall AIS score (r = 0.405; p < 0.001). The best-fit regression analysis demonstrated four significant predictors (marital status, monthly income, body weight status, and insomnia) explaining 31.6% of the variance in depression risk. Moreover, community-dwelling elderly Greek people with insomnia symptoms were females, had a lower monthly income, and more likely to suffer from chronic diseases and depression. Conclusion These findings point to the importance of recognizing risk factors for both depression and insomnia in attempting to apply preventive interventions in the elderly and optimize their quality of life.

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Section: Discussionmentioning

confidence: 97%

Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship

Tsaras¹,

Tsiantoula²,

Papathanasiou³

et al. 2021

Cureus

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“…Further, while a larger proportion of older adults experience anxiety and depressive symptoms that seriously affect their quality of life, they are unwilling to seek treatment or do not meet psychiatric diagnostic criteria [ 6 ]. Across cultures and regions, the prevalence of depression among older adults ranges between 11.4–36.7% [ 7 – 9 ], while the incidence of anxiety is between 14.2–39.4% [ 10 – 12 ]. In China, previous regional surveys have shown that the prevalence of anxiety and depression among older adults ranges between 11.77–22.3% and 26.5–40.3%, respectively [ 13 – 15 ].…”

Section: Introductionmentioning

confidence: 99%

Prevalence and factors associated with anxiety and depression among community-dwelling older adults in Hunan, China: a cross-sectional study

et al. 2023

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Background Older adults’ psychological health is a public health issue that cannot be ignored, especially when these psychological health problems and related factors change across different social backgrounds because of rapid changes in traditions and family structures and the epidemic responses after the outbreak of COVID-19 in China. The aim of our study is to determine the prevalence of anxiety and depression and their associated factors among community-dwelling older adults in China. Methods A cross-sectional study was conducted from March to May 2021 with 1173 participants aged 65 years or above from three communities in Hunan Province, China who were selected using convenience sampling. A structured questionnaire including sociodemographic characteristics, clinical characteristics, the Social Support Rating Scale (SSRS), the 7-Item Generalized Anxiety Disorder scale (GAD-7), and the Patient Health Questionnaire-9 Item (PHQ-9) was used to collect relevant demographic and clinical data and to measure social support status, anxiety symptoms, and depressive symptoms, respectively. Bivariate analyses were conducted to explore the difference in anxiety and depression based on samples’ different characteristics. The multivariable logistic regression analysis was performed to test for significant predictors of anxiety and depression. Results The prevalence of anxiety and depression were 32.74% and 37.34%, respectively. Multivariable logistic regression analysis revealed that being female, being unemployed before retirement age, lacking physical activity, having physical pain, and having three or more comorbidities were significant predictors for anxiety. Subjective social support and support utilization were significant protective factors. Regarding depression, religion, lacking physical activity, having physical pain, having three or more comorbidities were found to be significant predictors. Support utilization was a significant protective factor. Conclusions The study group showed a high prevalence of anxiety and depression. Gender, employment status, physical activity, physical pain, comorbidities, and social support were associated with psychological health problems of older adults. These findings suggest that governments should focus on the psychological health problems of older adults by raising community awareness of issues related to older adults’ psychological health. They should also screen for anxiety and depression among high-risk groups and encourage individuals to seek supportive counseling.

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“…Depression is characterized by loss of interest, fatigue, and feelings of worthlessness and guilt and was reported to be ranked first in the global disease burden in terms of disability-adjusted life years (DALYs) by 2030 (World Health Organization, 2012). The prevalence of depressive symptoms among the elderly is high: 23.3% in southern Brazil (Goes et al , 2017), 36.7% in Iran (Taheri Tanjanai et al , 2017), and 11.4% in India (Behera et al , 2016). Data drawn from the second wave of the China Health and Retirement Longitudinal Study (CHARLS) showed that more than 32.55% of the elderly in China had depression (Xu et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

Risk factors of geriatric depression in rural China based on a generalized estimating equation

Zhao

Chen

et al. 2018

Int. Psychogeriatr.

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Severe obesity increases the prevalence but not the incidence of depressive symptoms in the elderly-population-based cohort in Southern Brazil

Abstract: Severely obese individuals presented a similar incidence of depressive symptoms compared to those with normal BMI/WC, but higher prevalence. Intermediary values of body weight status decrease the risk of depressive symptoms.

Cited by 6 publications

References 28 publications

Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship

Predictors of Depression and Insomnia in Community-Dwelling Elderly People: A Cross-Sectional Evidence of Their Bidirectional Relationship

Prevalence and factors associated with anxiety and depression among community-dwelling older adults in Hunan, China: a cross-sectional study

Risk factors of geriatric depression in rural China based on a generalized estimating equation

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