Body mass index moderates the relationship between C-reactive protein and depressive symptoms: evidence from the China Health and Retirement Longitudinal Study

Qin, Tingting; Liu, Wenhua; Yin, Ming; Shu, Chang; Yan, Mingming; Zhang, Jianyuan; Yin, Ping

doi:10.1038/srep39940

Cited by 34 publications

(39 citation statements)

References 65 publications

(64 reference statements)

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“…The results of this study demonstrated that the respondents with lower BMI reported higher depression scores. Although many studies suggested that overweight or obesity is a risk factor for depression [51][52][53], our study results was consistent with one study based on population of China [54]. We found that the studies based on European and American sample population all reported the positive relationship between BMI and depression, but a few studies were reported in China.…”

Section: Discussionsupporting

confidence: 90%

Macro- and individual-level influence factors of depression: multilevel cross-provinces comparison in China

Gao

2020

Preprint

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Background: Rapid social change has given rise to a general increase in psychological pressure, which lead to more and more Chinese people suffering from depression over the past 30 years. However, few literatures reported the influence of macro factors on depression of Chinese .The effects of macro-level and individual-level on depression of Chinese respondents aged 16-97 years were examined in this study. Methods: We conducted a multilevel analysis of the 2018 longitudinal follow up of the Chinese Family Panel Studies (CFPS), with 19072 respondents nested within the 25 Chinese provinces. Data for macro-level are extracted from National Bureau of Statistics of China, including three predictors: gross regional product (GRP) per capita, expenditure for social security and employment (ESSE) and rural and urban household income inequality. Depression is measured with the eight-item short version of the Center for Epidemiologic Studies Depression Scale (CES-D8). Result: We found that respondents who were female,30-59 years, divorced or widowed, less educated, rural residents, less body mass index (BMI) or had lower household income tended to report higher levels of depressive symptoms. After adjustment for individual-level features, a significant macro effect of provinces survives. The respondents who lived in province that were higher GRP, higher ESSE or smaller rural and urban household income inequality reported lower levels of depressive symptoms. Conclusions: Our results have demonstrated that depression is not fully explained by individual features. Economic social factors appear to have an impact on depression and have to be considered when planning for improved public depression. Meanwhile, our research also provides a reference for some provinces to further investigation and improvement of depression. Keywords: China; Individual-level; Macro-level; Influence factors; Depression; Multilevel analysis

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Section: Discussionsupporting

confidence: 90%

Macro- and individual-level influence factors of depression: multilevel cross-provinces comparison in China

Gao

2020

Preprint

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“…Moreover, a nonsignificant negative association between depression and obesity has also been reported previously ( 12 , 43 ). In contrast, several studies reported a significant positive association between depression and obesity ( 11 , 12 , 20 , 21 , 44 , 45 ). Young people regarded thinness as a beauty symbol.…”

Section: Discussionmentioning

confidence: 81%

“…The association between obesity and depression has been normally studied in adolescents and the elderly population in China ( 19 – 21 ); yet there is a need to explore various indicators of obesity in detail. Hence, this large population-based cross-sectional survey was carried out to assess the potential relationship between depression and different body weight levels among the general population of Qingdao, China.…”

Section: Introductionmentioning

confidence: 99%

Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Cui

Sun

et al. 2018

Front. Endocrinol.

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Background: This study was designed to investigate the perceived relationship between body weight and depression risk in a Chinese population in Qingdao, China.Methods: A population-based cross-sectional survey was performed with 4,573 participants (between 35 and 74 years) from the year 2009 to 2012 in Qingdao, China. We applied the Zung self-rating depression scale to ascertain the level of depression in participants. The associations between different indicators of obesity [body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR)] and depression were assessed by logistic regression based on the Chinese criteria of obesity. Sensitivity analysis was done based on the Asian and WHO criteria of obesity.Results: The Zung scores for the 243 participants (5.2%) were over 45 and they were entitled as depression. Furthermore, multivariable logistic analyses revealed that being overweight [odds ratios (OR): 1.48, 95% confidence intervals [95% CI]: 1.08–2.03] and having abdominal obesity (WC category in Chinese criteria) (OR: 1.47, 95% CI: 1.08-2.00) were often associated with a higher risk for depression compared to normal weight subjects. Sensitivity analysis revealed that abdominal obesity (Asian criterion) (OR: 1.41, 95% CI: 1.03-1.91) was a significant risk factor for depression. Similarly, being overweight (WHO criterion) (OR: 1.39, 95% CI: 1.03-1.87) was an obvious risk factor for depression.Conclusion: Being overweight and having abdominal obesity (WC category) were found to be linked with a higher risk of depression. However, abdominal obesity (WHR category) was not associated with depression.

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“…Higher levels of pro-inflammatory cytokines, Interleukin−1 beta (IL-1β), IL-6 and TNF-α were found in the blood or in the brain of these patients ( 21 , 27 , 28 ). Depression is also accompanied by an increase in acute phase proteins such as haptoglobin, α1-antitrypsin, ceruloplasmin, and C-reactive protein ( 27 , 29 ).…”

Section: Stress Depression and Inflammationmentioning

confidence: 99%

Depression and Obesity: Integrating the Role of Stress, Neuroendocrine Dysfunction and Inflammatory Pathways

2018

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Literature on depression and obesity describes the relevance of the hypothalamic pituitary adrenal axis dysfunction, sympathetic nervous system (SNS) activation, and inflammatory processes as well as the interaction of genetic and environmental factors. Recent investigation in obesity highlights the involvement of several regulation systems, particularly in white adipose tissue. The hypothalamic pituitary adrenal axis, gonadal, growth hormone, leptin, sympathetic nervous system and adrenergic, dopaminergic, and serotoninergic central pathways, all seem interconnected and involved in obesity. From another perspective, the role of psychosocial chronic stressors, determining poor mental and physical health, is well documented. Empirical data can support biologically conceivable theories describing how perceptions of the external social environment are transduced into cellular inflammation and depression. Although in neurobiological models of depression, stress responses are associated with neuroendocrine and neuro-inflammatory processes, concerning similar pathways to those described in obesity, an integrating model is still lacking. The aim of this mini-review is to offer a reflexion on the interplay between the neuroendocrine dysfunctions related to chronic stress and the nature of the shared biologic mechanisms in the pathophysiology of both clinical entities, depression and obesity. We highlight dysfunctional answers of mind body systems that are usually activated to promote regulation and adaptation. Stress response, as a mediator between different level phenomena, may undertake the role of a plausible link between psychological and biological determinants of disease. Depression and obesity are major public health issues, urging for new insights and novel interventions and this discussion points to the need of a more in-depth approach.

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Body mass index moderates the relationship between C-reactive protein and depressive symptoms: evidence from the China Health and Retirement Longitudinal Study

Cited by 34 publications

References 65 publications

Macro- and individual-level influence factors of depression: multilevel cross-provinces comparison in China

Macro- and individual-level influence factors of depression: multilevel cross-provinces comparison in China

Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Depression and Obesity: Integrating the Role of Stress, Neuroendocrine Dysfunction and Inflammatory Pathways

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