Association between the prevalence of depression and age in a large representative German sample of people aged 53 to 80 years

Wild, Beate; Herzog, Wolfgang; Schellberg, Dieter; Lechner, Sabine; Niehoff, Doro; Brenner, Hermann; Rothenbacher, Dietrich; Stegmaier, Christa; Raum, Elke

doi:10.1002/gps.2728

Cited by 54 publications

(47 citation statements)

References 26 publications

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“…From the age of 55 or 65, though, the gender difference of depression varies by the study [22]. Some studies found little or no gender difference [17,22]; other studies found clear gender differences [10,11,15]. This lack of clarity could be associated with study design such as sample size and measures of depression.…”

Section: Discussionmentioning

confidence: 99%

“…A growing body of literature has examined the association between gender and depression, with controversial results. Much research supports the possibility that women are more likely to be depressed than men [10–15]; however, some studies [16–19] reported that there is no clear relationship between gender and depression among older adults.…”

Section: Introductionmentioning

confidence: 99%

“…Research reports several factors associated with the higher risk of depression, including a lack of cohabitants [14,17,20], low education attainment [15,17,20], low income [14,17], low health status [10], and poor physical function [14]. …”

Section: Introductionmentioning

confidence: 99%

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Relationship between Physical Disability and Depression by Gender: A Panel Regression Model

et al. 2016

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BackgroundDepression in persons with physical disabilities may be more common than in the general population. The purpose of this study was to examine the relationship between physical disability and depression by gender among adults, using a large, nationally representative sample.MethodsThis study used data from the Korean Longitudinal Study of Aging, Wave one through four, and ran a series of random effect panel regression models to test the relationship between physical disability status and depression by gender. We tested the moderating effect of gender on the relationship between disability status and depression level by examining the significance of the cross-product term between disability status and gender.ResultsAfter controlling for self-rated health, marital status, employment status, education, and age, subjects who were female or diagnosed as having any disability presented higher levels of depression scores. Further, the difference in terms of their depression level measured by Center for Epidemiologic Studies Short Depression Scale (CES-D 10) scores between those who were diagnosed as having any disability and those who were not was greater for females than for their male counterparts.ConclusionThis study reaffirmed that disability is the risk factor of depression, using longitudinal data. In addition, female gender is the effect modifier rather than the risk factor. The effect of gender in the non-disability group, mostly composed of older persons, is limited. On the contrary, the female disability group showed more depressive symptoms than the male disability group. The gender difference in the disability group and the role of culture on these differences need further research.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Relationship between Physical Disability and Depression by Gender: A Panel Regression Model

et al. 2016

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“…depression) show a different trend according to variation in age and gender, namely older adults frequently score higher in depression [35]. Therefore, we tested the invariance of the best-fitting model across different gender and age groups.…”

Section: Methodsmentioning

confidence: 99%

A confirmatory bifactor analysis of the hospital anxiety and depression scale in an Italian community sample

Iani

Lauriola

Costantini

2014

Health Qual Life Outcomes

134

105

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BackgroundThe Hospital Anxiety and Depression Scale (HADS) is a widely used self-report measure to assess emotional distress in clinical populations. As highlighted in recent review studies, the latent structure of the HADS is still an issue. The aim of this study was to analyze the factorial structure of the HADS in a large community sample in Italy, and to test the invariance of the best fitting model across age and gender groups.MethodsData analyses were carried out on a sample of 1.599 participants proportionally stratified according to the Italian census population pyramid. Participants aged 18 to 85 years (females = 51.8%), living in eight different regions of Italy, voluntarily participated in the study. The survey questionnaire contained the HADS, Health Status questions, and sociodemographic variables.ResultsConfirmatory factor analysis indicated that a bifactor model, with a general psychological distress factor and two orthogonal group factors with anxiety and depression, was the best fitting one compared to six alternative factor structures reported in the literature, with overall good fit indices [Non-normed Fit Index (NNFI) = .97; Comparative Fit Index (CFI) = .98; Root Mean-Square Error of Approximation (RMSEA) = .04]. Multi-group analyses supported total invariance of the HADS measurement model for males and females, and for younger (i.e., 18–44 years old) and older (i.e., 45–85 years old) participants. Our descriptive analyses showed that females reported significant higher anxiety and general distress mean scores than males. Moreover, older participants reported significant higher HADS, anxiety and depression scores than younger participants.ConclusionsThe results of the present study confirmed that the HADS has good psychometric properties in an Italian community sample, and that the HADS scores, especially the general psychological distress one, can be reliably used for assessing age and gender differences. In keeping with the most recent factorial studies, our analysis supported the superior fit of a bifactor model. However, the high factor loadings on the general factor also recommend caution in the use of the two subscales as independent measures.

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“…About 16% of people aged 53 and over show symptoms of clinically significant depression [9]. Depression in late life is associated with the occurrence of chronic illnesses and reduced quality of life, and carries a high risk of suicide [10,11].…”

Section: Introductionmentioning

confidence: 99%

Gender specific temporal and cross-sectional associations between BMI-class and symptoms of depression in the elderly

Wild

Herzog

Lechner

et al. 2012

Journal of Psychosomatic Research

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Association between the prevalence of depression and age in a large representative German sample of people aged 53 to 80 years

Abstract: The prevalence of depression in the elderly seems to be associated with the age category. Adjusted odds ratios showed that people aged 60 and older had lower chances of being depressive than people aged 53 to 59 years.

Cited by 54 publications

References 26 publications

Relationship between Physical Disability and Depression by Gender: A Panel Regression Model

Relationship between Physical Disability and Depression by Gender: A Panel Regression Model

A confirmatory bifactor analysis of the hospital anxiety and depression scale in an Italian community sample

Gender specific temporal and cross-sectional associations between BMI-class and symptoms of depression in the elderly

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