Evidence map›Paper›PMID 41372897›Full record

ArticleBMC public health2025

Association between BMI trajectories and metabolic syndrome in postmenopausal women: a cross-sectional study from NHANES 1999-2018.

Yingying Liu, Zhixiang Liang, Xingying Li, Juan Xiong

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yingying LiuMedical School, Shenzhen University, 1066 Xueyuan Avenue, Nanshan District, Shenzhen , Guangdong Province, 518055, China.
Zhixiang LiangMedical School, Shenzhen University, 1066 Xueyuan Avenue, Nanshan District, Shenzhen , Guangdong Province, 518055, China.
Xingying LiMedical School, Shenzhen University, 1066 Xueyuan Avenue, Nanshan District, Shenzhen , Guangdong Province, 518055, China.
Juan XiongMedical School, Shenzhen University, 1066 Xueyuan Avenue, Nanshan District, Shenzhen , Guangdong Province, 518055, China. jxiong@szu.edu.cn.ORCID http://orcid.org/0000-0002-6702-6585

Funding

Stable Support Project of Shenzhen 20231120124911001
6 · The paper itself

Abstract

backgroundObesity is an established risk factor for metabolic syndrome (MetS), with both conditions being particularly prevalent among postmenopausal women. However, research examining the relationship between body mass index (BMI) changes across the lifespan and MetS in this specific population remains limited. This study aims to explore the association between BMI trajectories and MetS risk in postmenopausal women.

methodsThis cross-sectional study included postmenopausal women aged ≥ 60 years from the National Health and Nutrition Examination Survey 1999-2018. MetS was defined by 2009 Joint Interim Statement criteria. BMI trajectories over time were identified using latent class growth mixture modeling. Multivariable logistic regression analyses were performed to evaluate the association between distinct BMI trajectories and MetS risk. Subgroup analyses based on reproductive characteristics were conducted to investigate potential effect modification in the relationship between BMI trajectories and MetS risk.

resultsAmong 4061 eligible participants, the overall prevalence of MetS was 71.57% (n = 3070). Three distinct BMI trajectories were identified: stable trajectory (n = 3047, 76.34%), increasing trajectory (n = 540, 12.30%), and increasing-decreasing trajectory (n = 474, 11.36%). Compared with the stable trajectory group, participants in the increasing trajectory group had a higher risk of MetS (OR = 5.09, 95% CI: 3.19-8.13), while those in the increasing-decreasing trajectory group had the highest risk of MetS (OR = 5.89, 95% CI: 3.73-9.31). Subgroup analyses revealed significant effect modification of the association between BMI trajectories and MetS risk by early menopause (P = 0.059), early age at first live birth (P < 0.05), and high parity (P < 0.05).

conclusionsThe increasing and increasing-decreasing BMI trajectory groups are associated with a higher risk of MetS in postmenopausal women. This association is significantly modified by reproductive characteristics. Maintaining a long-term stable BMI may benefit metabolic health.

Indexed as

Body Mass IndexMetabolic SyndromePostmenopauseAgedCross-Sectional StudiesFemaleHumansMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesBody mass indexMetabolic syndromeNHANESPostmenopauseTrajectory analysis

Identifiers

PMID41372897
PMCPMC12781552

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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.