2022
DOI: 10.1136/bmjopen-2021-052457
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Prevalence of metabolic syndrome among the adult population in western China and the association with socioeconomic and individual factors: four cross-sectional studies

Abstract: ObjectivesThis study explored the prevalence of and individual influencing factors for metabolic syndrome (MS) as well as associated socioeconomic factors and regional aggregation.DesignFour cross-sectional surveys were analysed for trends in MS and associations with socioeconomic and individual factors through multilevel logistic regression analyses. The risk associated with nutrient intake was also assessed through a dietary survey in 2015.SettingFrom 2010 to 2018, 8–15 counties/districts of West China were … Show more

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Cited by 10 publications
(11 citation statements)
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“…Recently, cross-sectional surveys in West China from 2010-2018 showed that the overall prevalence of MetS ranged between 21.4-27.8%. 22 The MetS prevalence in Sichuan Province (27.8% in 2010, 27.4% in 2018, among individuals aged ≥18 years) was lower than those reported in previous studies from China (33.9% in 2010). 23 However, the 2010 estimate might have been an overestimate, because a lower waist circumference threshold (80 cm) was used for women.…”
Section: J O U R N a L P R E -P R O O Fmentioning
confidence: 58%
“…Recently, cross-sectional surveys in West China from 2010-2018 showed that the overall prevalence of MetS ranged between 21.4-27.8%. 22 The MetS prevalence in Sichuan Province (27.8% in 2010, 27.4% in 2018, among individuals aged ≥18 years) was lower than those reported in previous studies from China (33.9% in 2010). 23 However, the 2010 estimate might have been an overestimate, because a lower waist circumference threshold (80 cm) was used for women.…”
Section: J O U R N a L P R E -P R O O Fmentioning
confidence: 58%
“…Similarly, group-level work indicates that physical activity has associations with multiple factors, including, e.g., diet [78], gut microbiome [79], emotion regulation [80], fitness [81], weather [82], and metabolic [83] factors. Adding to group-level findings, studies using micro-longitudinal tracking and within-individual analyses have shown physical activity's associations with, e.g., sleep [84][85][86][87] and stress [88].…”
Section: Discussionmentioning
confidence: 99%
“…The prevalence of MS was 32.8%, 33.7% in males and 32.1% in females, and increased with age significantly (P < 0.001). [133] Influencing Factors of MS Life style The MS risk of groups with medium and low levels of physical activity was 1.24 (95% CI: 1.15-1.34) and 1.35 (95% CI: 1.24-1.46) times that of the group with a high level of physical activity. The groups with sedentary time outside of work of 1.2-2.0 h, 2.0-3.1 h and more than 3.1 h had a greater risk of MS than the group with less than 1.2 h. In particular, the risk in the upper quartile group was 1.19 (95% CI: 1.08-1.31) times that in the lower quartile group.…”
Section: Prevalence Of Ms In Special Populationmentioning
confidence: 99%