Overweight and obesity standards and subjective well-being: Evidence from China

Zeng, Qiyan; Yu, Xiaohua

doi:10.1016/j.ehb.2019.02.006

Cited by 15 publications

(7 citation statements)

References 17 publications

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“…Furthermore, Forste & Moore (2012) and UL-haq, Mackay, Martin, Smith, Gill, Nicholl et al (2014) found a negative relationship between underweight and SWB. Further evidence to support this are the results presented in Zeng & Yu (2019) which show a discontinuous reduction in SWB at the overweight and obese cutoff points, in China. Thus, the classification itself results in a SWB reduction.…”

Section: Introductionmentioning

confidence: 73%

The value of normal body weight: evidence from Iceland

et al. 2020

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Calculations of societal costs of underweight, overweight and obesity have generally failed to include the value of the utility reductions, associated with deviations from normal weight. To remedy this, the monetary compensation needed to offset the welfare loss associated with being underweight, overweight or obese is estimated. For this purpose, the compensating income variation (CIV) method is applied to individual-level data from an Icelandic health and lifestyle survey carried out in 2007, 2009, 2012, and 2017. The results show that both males and females would on average be willing to pay a positive amount to move from obesity to normal weight, albeit a varying amount by income group.

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Section: Introductionmentioning

confidence: 73%

The value of normal body weight: evidence from Iceland

et al. 2020

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“…Obesity and classification: (1) Individuals with BMI < 18.5 kg/m 2 were identified as underweight; 18.5 ≤ BMI < 24 kg/m 2 were identified as normal weight; 24 ≤ BMI < 28 kg/m 2 were identified as overweight; and BMI ≥ 28 kg/m 2 were identified as obesity, according to standard of China, which was recommend by the Working Group on Obesity in China, and widely used in large-scale epidemic surveys in China [31][32][33][34][35]. BMI ≥ 24 kg/m 2 were identified as high BMI in the present study.…”

Section: Obesity and Sarcopeniamentioning

confidence: 99%

High Visceral Fat Area Attenuated the Negative Association between High Body Mass Index and Sarcopenia in Community-Dwelling Older Chinese People

Kang²,

Zhang

et al. 2020

Healthcare

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The association between obesity and sarcopenia remains controversial. The present study was conducted to explore the associations among body mass index (BMI), visceral fat area (VFA), and sarcopenia in older people and analyze their potential mechanisms. This cross-sectional study included 861 community-dwelling older Chinese people from three regions of China. BMI, VFA, muscle mass, muscle strength, physical performance, body composition, and metabolic markers were measured. Muscle mass and muscle strength were positively correlated with BMI, but were negatively correlated with VFA. Simple overweight/obesity was negatively associated with sarcopenia (OR = 0.07, 95% CI = 0.03~0.18), and the OR value was lower than combined obesity (OR = 0.16, 95% CI = 0.09~0.28). Fat free mass and total body protein were positively associated with high BMI but negatively associated with high VFA. Furthermore, high VFA was adversely associated with some metabolic risk factors of sarcopenia. Combination of BMI and VFA increased diagnostic efficiency of low muscle mass and sarcopenia. In conclusion, high BMI was negatively associated with sarcopenia, while high VFA attenuated the negative association between high BMI and sarcopenia. The opposite association may partially be attributed to their different associations with body composition and metabolic risk factors of sarcopenia. Therefore, bedsides BMI, VFA and its interaction with BMI should be considered in sarcopenia prevention.

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“…This is likely to reflect larger body size being regarded as a positive status symbol in some cultures [ 11 – 13 ]. Observational studies from people of East Asian ancestry have shown both positive and negative correlations between BMI and depression [ 14 – 16 ], but the study designs applied have not enabled causal inference. Ideally, evidence of causal effects comes from well conducted randomised trials.…”

Section: Introductionmentioning

confidence: 99%

Mendelian randomisation study of body composition and depression in people of East Asian ancestry highlights potential setting-specific causality

O’Loughlin

Casanova

Fairhurst-Hunter

et al. 2023

BMC Med

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Background Extensive evidence links higher body mass index (BMI) to higher odds of depression in people of European ancestry. However, our understanding of the relationship across different settings and ancestries is limited. Here, we test the relationship between body composition and depression in people of East Asian ancestry. Methods Multiple Mendelian randomisation (MR) methods were used to test the relationship between (a) BMI and (b) waist-hip ratio (WHR) with depression. Firstly, we performed two-sample MR using genetic summary statistics from a recent genome-wide association study (GWAS) of depression (with 15,771 cases and 178,777 controls) in people of East Asian ancestry. We selected 838 single nucleotide polymorphisms (SNPs) correlated with BMI and 263 SNPs correlated with WHR as genetic instrumental variables to estimate the causal effect of BMI and WHR on depression using the inverse-variance weighted (IVW) method. We repeated these analyses stratifying by home location status: China versus UK or USA. Secondly, we performed one-sample MR in the China Kadoorie Biobank (CKB) in 100,377 participants. This allowed us to test the relationship separately in (a) males and females and (b) urban and rural dwellers. We also examined (c) the linearity of the BMI-depression relationship. Results Both MR analyses provided evidence that higher BMI was associated with lower odds of depression. For example, a genetically-instrumented 1-SD higher BMI in the CKB was associated with lower odds of depressive symptoms [OR: 0.77, 95% CI: 0.63, 0.95]. There was evidence of differences according to place of residence. Using the IVW method, higher BMI was associated with lower odds of depression in people of East Asian ancestry living in China but there was no evidence for an association in people of East Asian ancestry living in the USA or UK. Furthermore, higher genetic BMI was associated with differential effects in urban and rural dwellers within China. Conclusions This study provides the first MR evidence for an inverse relationship between BMI and depression in people of East Asian ancestry. This contrasts with previous findings in European populations and therefore the public health response to obesity and depression is likely to need to differ based on sociocultural factors for example, ancestry and place of residence. This highlights the importance of setting-specific causality when using genetic causal inference approaches and data from diverse populations to test hypotheses. This is especially important when the relationship tested is not purely biological and may involve sociocultural factors.

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Overweight and obesity standards and subjective well-being: Evidence from China

Cited by 15 publications

References 17 publications

The value of normal body weight: evidence from Iceland

The value of normal body weight: evidence from Iceland

High Visceral Fat Area Attenuated the Negative Association between High Body Mass Index and Sarcopenia in Community-Dwelling Older Chinese People

Mendelian randomisation study of body composition and depression in people of East Asian ancestry highlights potential setting-specific causality

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