Evidence map›Paper›PMID 42458516›Full record

ArticleJournal of health, population, and nutrition2026

Exploring the connection between life's crucial 9 and metabolic syndrome: the weight-adjusted waist index as a mediating factor.

Jiahao Wang, Lei Ren, Yongli Han, Lunuan Wang, Chengdong Sun, Rong Jiang, Shuming Guo

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Article in Journal of health, population, and nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Jiahao Wang *Linfen Central Hospital, Linfen, 041000, China.
Lei Ren *Faculty of Pharmacy, Naval Medical University, 325 Guohe Road, Shanghai, 200433, China.
Yongli HanLinfen Central Hospital, Linfen, 041000, China.
Lunuan WangFaculty of Pharmacy, Naval Medical University, 325 Guohe Road, Shanghai, 200433, China.
Chengdong SunFaculty of Pharmacy, Naval Medical University, 325 Guohe Road, Shanghai, 200433, China.
Rong JiangFaculty of Pharmacy, Naval Medical University, 325 Guohe Road, Shanghai, 200433, China. jiangr_0_0@163.com.
Shuming GuoLinfen Central Hospital, Linfen, 041000, China. guoshuming70@163.com.

Funding

National Social Science Fund of China numbers 2024-SKJJ-C-038
6 · The paper itself

Abstract

backgroundResearch has shown that the health status of the cardiovascular system and obesity may be associated with Metabolic Syndrome (MetS) to some extent. However, the exact nature of the relationship between the three has not yet been established. Life's Crucial 9 (LC9) represents a contemporary metric for comprehensive cardiovascular health evaluation. Separately, the Weight-Adjusted Waist Index (WWI) serves as an emerging anthropometric indicator that differs fundamentally from BMI by normalizing waist circumference through weight standardization, leading to its growing adoption in current research. This study sought to elucidate the association between LC9 and MetS and to evaluate the potential role of WWI in the association.

methodsThis investigation drew upon data from the National Health and Nutrition Examination Survey (NHANES) to conduct a cross-sectional analysis. The association between LC9 and MetS was assessed through multiple analytical techniques, employing multivariate logistic regression, restricted cubic splines (RCS), and subgroup stratification. Furthermore, mediation modeling was implemented to quantify the extent to which WWI might account for the observed relationship.

resultsThis study included 25,399 participants, among whom 7,811 reported MetS events. After adjusting for all variables using multivariate logistic regression, each 10-unit increase in LC9 was associated with a 31% reduction in the prevalence of MetS (OR = 0.69, 95% CI: 0.66 to 0.72), while each 1-unit increase in WWI was associated with a 1.11-fold increase in the prevalence of MetS (OR = 2.11, 95% CI: 1.94 to 2.29). Consistent results were observed when LC9 and WWI were adjusted to tertiles, with P for trend < 0.001. Analysis using RCS indicated a linear negative correlation between LC9 and the prevalence of MetS. Mediation analysis indicated that WWI statistically accounted for 32.73% of the observed association between LC9 and MetS (p < 0.001).

conclusionThis study demonstrates a significant inverse association between LC9 and MetS, with WWI statistically accounting for a substantial portion of this association. These results highlight the interplay between cardiovascular health metrics and metabolic disorders, thereby suggesting that favorable body composition profiles are associated with lower MetS prevalence in the context of higher cardiovascular health.

Indexed as

Metabolic SyndromeWaist CircumferenceAdultBody Mass IndexBody WeightCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysObesityLife's crucial 9Mediation analysisMetabolic syndromeNHANESWeight-Adjusted waist index

Identifiers

PMID42458516
PMCPMC13685097

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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.