A structural equation model relating adiposity, psychosocial indicators of body image and depressive symptoms among adolescents

ABSTRACT Objectives: To establish a structural equation model for exploring the direct and indirect relationships of depressive symptoms and their associated factors among the Chinese elderly population. Design: A cross-sectional research. The 2015 data from the China Health and Retirement Longitudinal Study (CHARLS) were adopted. Setting: CHARLS is an ongoing longitudinal study assessing the social, economic, and health status of nationally representative samples of middle-aged and elderly Chinese residents. Participants: A total of 5791 participants aged 60 years and above were included. Measurements: Depressive symptoms were used as the study outcome. Sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were used as predictors. Confirmatory factor analysis was first conducted to test the latent variables. Structural equation model was then utilized to examine the associations among latent variables and depressive symptoms. Results: The mean age of the participants was 68.82 ± 6.86 years, with 55.53% being males. The total prevalence of depressive symptoms was 37.52%. The model paths indicated that sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were directly associated with depressive symptoms, and the effects were 0.281, 0.509, −0.067, and −0.162, respectively. Sociodemographic characteristics, unhealthy habits, and sleep duration were indirectly associated with depressive symptoms, mediating by poor health status. Their effects on poor health status were −0.093, 0.180, and −0.279, respectively. All paths of the model were significant (P < 0.001). The model could explain 40.9% of the variance in the depressive symptoms of the Chinese elderly population. Conclusions: Depressive symptoms were significantly associated with sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration among Chinese elderly population. The dominant predictor of depressive symptoms was poor health status. Targeting these results might be helpful in rationally allocating health resources during screening or other mental health promotion activities for the elderly.

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Life events and depression in women: a structural equation model

Psychological Medicine ◽

10.1017/s003329170001984x ◽

1984 ◽

Vol 14 (4) ◽

pp. 881-889 ◽

Cited By ~ 19

Author(s):

D. M. Fergusson ◽

L. J. Horwood

Keyword(s):

Depressive Symptoms ◽

Longitudinal Study ◽

Structural Equation Model ◽

Life Events ◽

Mental State ◽

Structural Equation ◽

Equation Model ◽

Reciprocal Relationship ◽

Life Event

SynopsisA non-recursive structural equation model designed to examine the reciprocal relationship between life event reports and depressive symptoms in women is presented. The model was fitted to data from a 2-year longitudinal study of life events and depression in a sample of women with 5-year-old children. The findings suggest that life event reports may be influenced by mental state; however, even when this tendency is taken into account, there is still a substantial relationship between life events and depressive symptoms in women. This indicates that it is unlikely that the life events/depression correlation can be explained simply by a tendency for depressed women to over-report life events.

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A Structural Equation Model of Health-Related Quality of Life in Chinese Patients With Rheumatoid Arthritis

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.716996 ◽

2021 ◽

Vol 12 ◽

Author(s):

Biyu Shen ◽

Haoyang Chen ◽

Dongliang Yang ◽

Ogbolu Yolanda ◽

Changrong Yuan ◽

...

Keyword(s):

Quality Of Life ◽

Rheumatoid Arthritis ◽

Body Image ◽

Disease Activity ◽

Structural Equation Model ◽

Structural Equation ◽

Disease Activity Score ◽

Equation Model ◽

Activity Score

Background: The aim of this study was to examine how body image, Disease Activity Score in 28 joints, the feeling of being anxious, depression, fatigue, quality of sleep, and pain influence the quality of life (QoL) in patients with rheumatoid arthritis (RA).Methods: A multicenter cross-sectional survey with convenience sampling was conducted from March 2019 and December 2019, 603 patients with RA from five hospitals were evaluated using the Body Image Disturbance Questionnaire, Disease Activity Score in 28 joints, Hospital Anxiety and Depression Scale, Fatigue Severity Scale, Pittsburgh Sleep Quality Index, Short Form 36 Health Survey, and Global Pain Scale. The relationship between quality of life and other variables was evaluated by using the structural equation model (SEM).Results: A total of 580 patients were recruited. SEM fitted the data very well with a root mean square error of approximation (RMSEA) of 0.072. Comparative fit index of 0.966, and Tucker-Lewis index of 0.936. The symptoms and the normalized factor load of six variables showed that the normalized factor load of pain was 0.99.Conclusions: The QoL model was used to fit an SEM to systematically verify and analyze the population disease data, biological factors, and the direct and indirect effects of the symptom group on the QoL, and the interactions between the symptoms. Therefore, the diagnosis, treatment and rehabilitation of RA is a long-term, dynamic, and complex practical process. Patients' personal symptoms, needs, and experiences also vary greatly. Comprehensive assessment of patients' symptoms, needs, and experiences, as well as the role of social support cannot be ignored, which can help to meet patients' nursing needs, improve their mood and pain-based symptom management, and ultimately improve patients' QoL.

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