Evidence map›Paper›PMID 37394907›Full record

ArticleJournal of global health2023

Altitude and metabolic syndrome in China: Beneficial effects of healthy diet and physical activity.

Junmin Zhou, Ruifeng He, Zhuozhi Shen, Yan Zhang, Xufang Gao, Dejiquzong, Xiong Xiao, Tao Zhang, Dan Yang, Yufei Wang and 7 more

Abstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Junmin ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Ruifeng HeTibet Center for Disease Control and Prevention, Lhasa, China.
Zhuozhi ShenChongqing Municipal Center for Disease Control and Prevention, Chongqing, China.
Yan ZhangSchool of Public Health, Guizhou Medical University, Guiyang, China.
Xufang GaoChengdu Center for Disease Control & Prevention, Chengdu, China.
DejiquzongTibet University, Lhasa, China.
Xiong XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Tao ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Dan YangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yufei WangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Huan SongWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Yuming GuoClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Shanshan LiClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Gongbo ChenClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Jianzhong YinSchool of Public Health, Kunming Medical University, Kunming, China.
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
China Multi-Ethnic Cohort (CMEC) collaborative group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The correlation between altitude and metabolic syndrome has not been extensively studied, and the mediation effects of diet and physical activity remain unclear. We evaluated the cross-sectional correlations between altitude and metabolic syndrome and the possible mediation effects of diet and physical activity in China. Methods: We included 89 485 participants from the China Multi-Ethnic Cohort. We extracted their altitude information from their residential addresses and determined if they had metabolic syndrome by the presence of three or more of the following components: abdominal obesity, reduced high-density lipoprotein cholesterol (HDL-C), elevated triglycerides, elevated glucose, and high blood pressure at recruitment. We conducted multivariable logistic regression and mediation analyses for all and separately for Han ethnic participants. Results: The participants had a mean age of 51.67 years and 60.56% were female. The risk difference of metabolic syndrome was -3.54% (95% confidence interval (CI) = -4.24, -2.86) between middle and low altitudes, -1.53% (95%CI = -2.53, -0.46) between high and low altitudes, and 2.01% (95% CI = 0.92, 3.09) between high and middle altitudes. Of the total estimated effect between middle and low altitude, the effect mediated by increased physical activity was -0.94% (95% CI = -1.04, -0.86). Compared to low altitude, the effects mediated by a healthier diet were -0.40% (95% CI = -0.47, -0.32) for middle altitude and -0.72% (95% CI = -0.87, -0.58) for high altitude. Estimates were similar in the Han ethnic group. Conclusions: Living at middle and high altitudes was significantly associated with lower risk of metabolic syndrome compared to low altitude, with middle altitude having the lowest risk. We found mediation effects of diet and physical activity.

Indexed as

Metabolic SyndromeAltitudeChinaCross-Sectional StudiesDiet, HealthyExerciseFemaleHumansMaleMiddle Aged

Identifiers

PMID37394907
PMCPMC10312044

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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.