ArticleMedicine2020
The effect of self-perceived stress, the history of smoking and drinking on weight status in Chinese adults - evidence from the 2015 China Health and Nutrition Survey: A cross-sectional study in Chongqing, China.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES.BMC public health · 2024Article
- Association between perceived stress and hypertension in Chinese adults: a population-based survey.Journal of human hypertension · 2023Article
- Indoor Air Purification and Residents' Self-Rated Health: Evidence from the China Health and Nutrition Survey.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Being overweight and obese is a serious public health issues in China. However, the effects of substance use and mental factors on weight changes remain unclear. In this study, we aimed to investigate the association among self-perceived stress, history of smoking and drinking, and weight status by using data from the China Health and Nutrition Survey in 2015.A total of 8028 adults were selected from China Health and Nutrition Survey in 2015. The self-reported data primarily included sociodemographic data, self-perceived stress scores, and history of smoking and drinking. Physical measurements including height and weight were logged to calculate body mass index. Multivariate and multinomial regression models were used to estimate effects of substance and perceived stress on weight status.The prevalence of underweight and overweight/obese people were 4.52% and 51.51% in Chinese adults, respectively. Adults with high perceived stress were negatively associated with being overweight and obese (OR = 0.80, 95% CI = 0.66-0.97 in the middle level and OR = 0.69, 95%CI = 0.55-0.88 in the high level). Adults with history of smoking had low risk of being overweight/obese (OR = 0.71, 95% CI = 0.62-0.82). Adults with history of drinking had high risk of overweight/obese (OR = 1.22, 95% CI = 1.06-1.40). In addition, the association between drinking and overweight/obese was affected by different levels of perceived stress (OR = 1.15, 95%CI = 0.83-1.59 in low-stress group and OR = 1.42, 95%CI = 1.04-1.94 in high-stress group).The effects of self-perceived stress and history of smoking as well as drinking on weight status were significant in this study. The government and healthcare policymakers should strengthen early psychological factor and behavioral intervention to decrease the prevalence of abnormal-weight status.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.