Evidence map›Paper›PMID 41922913›Full record

ArticleChinese medical journal2026

Association between grip strength and hypertensive disorders of pregnancy: Prospective analyses in the Tongji-Huaxi-Shuangliu Birth Cohort.

Yuxiang Wang, Ping Wu, Yi Wang, Yixiang Ye, Yuwei Lai, Junxiang Chen, Yue Li, Jijuan Zhang, Jingyi Wang, Hancheng Yu and 6 more

Abstract read
In one paragraph

Article in Chinese medical journal, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

Yuxiang WangDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Ping WuDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yi WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York 10467, United States.
Yixiang YeDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yuwei LaiDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Junxiang ChenDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yue LiDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Jijuan ZhangDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Jingyi WangDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Hancheng YuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Yidan DongSection of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Children & Children's Medicine Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Yanqin LiDepartment of Obstetrics, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610200, China.
Yayi HuDepartment of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Gang LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
An PanDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Xiong-Fei PanSection of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Children & Children's Medicine Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertensive disorders of pregnancy (HDP) are leading causes of maternal and fetal morbidity and mortality. Although lower grip strength has been linked to higher cardiovascular risk in the general population, evidence on its relationship with HDP remains limited. We aimed to prospectively investigate this association in a large cohort of pregnant women.

methodsBetween March 2017 and January 2020, 6802 pregnant women (mean age ± standard deviation: 26.6 ± 3.7 years) enrolled in the Tongji-Huaxi-Shuangliu Birth Cohort were included in this analysis. Grip strength was measured in early pregnancy (mean gestational week ± standard deviation: 10.3 ± 2.0 weeks) and assessed in three ways: absolute grip strength (AGS) and two relative indices (AGS normalized to body mass index or body weight). Logistic regression models were used to assess the associations between grip strength and the risk of HDP (gestational hypertension or preeclampsia). Multiple blood biomarkers (blood lipids, leptin, adiponectin, C-reactive protein, C-peptide, glycated hemoglobin, and homeostatic model assessment of insulin resistance) were measured among 638 women at enrollment.

resultsA total of 180 women developed HDP during pregnancy. The adjusted odds ratios (95% confidence intervals) of HDP across increasing quartiles of AGS in early pregnancy were 1.00 (reference), 0.93 (0.63-1.35), 0.67 (0.44-1.00), and 0.35 (0.21-0.56). Odds ratios across quartiles of two relative grip strength (RGS) indices showed similar patterns. Restricted cubic spline analyses indicated a nonlinear association between AGS and HDP risk ( P for nonlinearity = 0.014). The risk plateaued at lower AGS levels but showed a linear inverse association above a threshold of 18.1 kg. In contrast, the two relative measures showed linear associations with HDP risk ( P for nonlinearity ≥0.164). Additionally, higher RGS was generally correlated with favorable metabolic profiles (e.g., lower levels of low-density lipoprotein cholesterol, triglycerides, and C-reactive protein).

conclusionGrip strength in early pregnancy was inversely associated with the risk of HDP, and RGS may serve as a simple and useful measure for risk stratification.

Indexed as

Hand StrengthHypertension, Pregnancy-InducedAdiponectinAdultC-PeptideC-Reactive ProteinFemaleHumansLeptinPregnancyProspective StudiesRisk FactorsAdiponectinC-PeptideC-Reactive ProteinLeptinGrip strengthHypertensive disorders of pregnancyPregnant womenProspective studyRisk factor

Identifiers

PMID41922913
PMCPMC13384598

What Socratic holds

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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 Socratic graph.