Are overweight people more susceptible to anxiety?

Zhang, Chichen; Li, Mimi; Hu, Zhao; Zhu, Ruifang; Zheng, Xiao; Lü, Jiao; Du, Yufeng; Yu, Lie; Yang, Tingzhong

doi:10.1002/gps.5050

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…Several studies supported the hypothesis, suggested that there is a positive relationship between body weight and health. 52,53 However, our finding that obese people are more likely to have poor HRQoL did not support this notion. So is another recent study revealed that obesity exhibited no positive correlation with HRQoL among Chinese older adults.…”

Section: Discussioncontrasting

confidence: 71%

Differences in Health-Related Quality of Life and Its Associated Factors Among Older Adults in Urban and Rural Areas

Zhang¹,

Xiao²,

Shi³

et al. 2022

RMHP

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Urban-rural health disparity is one of the most prominent challenges in China today. The goal of this study is to find differences in health-related quality of life (HRQoL) and its associated factors among older people in urban and rural areas. Methods: A multi-stage stratified sampling method was conducted in Shanxi Province, with a total of 3250 older adults participated in this cross-sectional survey. HRQoL was assessed using the Chinese version of the EQ-5D-5L. Tobit regression models were employed to identify associated factors for HRQoL. Results:The mean EQ-5D utility score of the total sample was 0.87± 0.23, with a statistically significant difference observed between urban (0.89 ± 0.22) and rural areas (0.86 ± 0.23). Obesity (Coe=−0.10, p=0.021) and nutrition awareness (Coe=−0.14, p=0.009) were two unique associated factors to rural older adults' HRQoL. While, age

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Section: Discussioncontrasting

confidence: 71%

Differences in Health-Related Quality of Life and Its Associated Factors Among Older Adults in Urban and Rural Areas

Zhang¹,

Xiao²,

Shi³

et al. 2022

RMHP

Self Cite

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“…In our study, no differences were found by age. Differences among the three groups were also insignificant for BMI, smoking habits, and demographic characteristics, which are parameters that could independently affect HRQoL and psychological functioning, thus confounding our results [27,28].…”

Section: Discussionmentioning

confidence: 67%

Psychological Distress and Health-Related Quality of Life in Public Sector Personnel

Malfa

Karaivazoglou

Assimakopoulos

et al. 2021

IJERPH

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Background: This study has assessed health-related quality of life (HRQoL) and psychological distress between public sector professional groups. Methods: Short Form-36 Health Survey (SF-36) and Hospital Anxiety and Depression Scale (HADS) were administered to healthcare personnel, schoolteachers, and municipality and regional personnel in the region of Western Greece. Mean scores on all SF-36 dimensions and HADS were compared among these professional groups as well as with the Greek national norms to assess if there were significant differences between our study sample and the general population. Results: Healthcare personnel reported significantly lower SF-36 scores than teachers and municipality employees. Women reported poorer HRQoL than men on all SF-36 dimensions. This overall low score for health care workers masks the fact that male health care workers, primarily medical doctors, actually scored better than women, primarily nurses and auxiliary personnel. Average mean scores on all SF-36 dimensions reported by nurses and auxiliary personnel in healthcare were considerably lower than the ones from employees in all other occupational types. The impact on HRQoL observed mainly in vitality, social functioning and mental health was important. Many participants have shown psychological burden and depression. Conclusions: The health inequalities among healthcare employees are significant. This study is important to suggest taking measures for improving the HRQoL of health workers.

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“…Depression, anxiety, loneliness and other mental illnesses are common among empty nesters, and these mental illnesses seriously affect their quality of life [ 15 ]. Zhang et al found that 64.2% of empty nesters have depression [ 16 ], and 44.5% of empty nesters reported anxiety [ 17 ]. Mental health problems loom large for the empty nesters.…”

Section: Introductionmentioning

confidence: 99%

Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model

Zhang

Cai

Xue

et al. 2021

Health Qual Life Outcomes

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Background As China’s aging trend intensifies and the proportion of empty nests increases, the health-related quality of life of the elderly is the focus of social attention. Previous studies focused on the quality of life of the elderly, rather than empty nesters, and lacked the discussion of the mechanism of influencing factors. Thus, this study aimed to explore the influencing factors of the quality of life (QOL) and interaction mechanisms among empty nesters in Shanxi Province, China, so as to provide practical reference for improving the QOL of empty nesters. Methods A total of 4901 empty nesters in Shanxi Province, China, were selected using multi-stage random cluster sampling method in this cross-sectional study. The quality of life was assessed with the Short Form 36 Health Survey (SF-36). Multiple linear regression analysis (stepwise) was performed to examine the factor associated with QOL. Structural equation model (SEM) approach was conducted to test the direct and indirect association between QOL influencing factors with QOL. Results The average QOL score of empty nesters was 63.34 (SD = 17.23). The multiple linear regression revealed that gender, age, education, monthly income, drinking status, exercise frequency, physical examination frequency, attention to daily nutritional health, relationship with a spouse and relationship with children were significant predictors of the empty nester’s QOL (P < 0.05) (R2 = 0.128). SEM showed that behavioral lifestyle had a direct effect on QOL (β = 0.446, P < 0.001). Socio-economic status had an indirect effect (β = 0.288, P < 0.001) on QOL through behavioral lifestyle. The family relationship had an indirect effect (β = 0.115, P < 0.001) on QOL. Conclusion Behavioral lifestyle was the strongest influencing factor in the quality of life among empty nesters, followed by socio-economic status and family relationships. Thus, maintaining a healthy behavioral lifestyle was important to improve the QOL of the empty nesters. Our findings provide a concrete and strong reference for the formulation of targeted intervention strategies.

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Are overweight people more susceptible to anxiety?

Cited by 7 publications

References 30 publications

Differences in Health-Related Quality of Life and Its Associated Factors Among Older Adults in Urban and Rural Areas

Differences in Health-Related Quality of Life and Its Associated Factors Among Older Adults in Urban and Rural Areas

Psychological Distress and Health-Related Quality of Life in Public Sector Personnel

Exploring the influencing factors of quality of life among the empty nesters in Shanxi, China: a structural equation model

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