Evidence map›Paper›PMID 40509817›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2025

[Spousal correlations of blood lipid based on a family design].

Y Li, H Guo, H Peng, T Hou, H Zhang, Y Tan, Y Zheng, M Wang, Y Wu, X Qin and 6 more

Abstract readEnglish Abstract
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Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Y LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
H GuoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
H PengDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
T HouDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
H ZhangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y TanDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Y ZhengDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
M WangDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Y WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
X QinDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
J LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y YeDepartment of Endemic Disease Control, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350003, China.
T WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
D ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y HuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
L LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the spousal correlations of total cholesterol (TC), total triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), and to investigate the reasons behind these spousal correlations.

methodsParticipants and data were from the baseline survey of family-based cohort studies in Fangshan, Beijing and Tulou, Fujian. The origin of spousal correlations were explored from perspectives of convergence, assortative mating, social homogamy. Pearson ' s correlation and generalized linear models (GLM) were used to estimate the spousal correlation. Convergence was assessed by Pearson ' s correlation between the phenotypic differences between couples and the duration of marriage, with GLM used for further validation. Pearson ' s correlation of genetic risk scores (GRS) and couple-specific Mendelian randomization (MR) were calculated to assess the genetic correlation and possible causal relationships between spouses. Two-independent-sample

resultsIn the study, 342 couples (287 couples from Fangshan and 55 couples from Fujian) were included, with the average age of (64.91±8.76) years. Spousal correlations of TC, TG, HDL-C, and LDL-C showed statistically significant associations both before and after adjusting for covariates, with effect sizes of 0.229 (95%

conclusionThe blood lipid in participants exhibit spousal phenotypic correlations, however, no effects of convergence, assortative mating or social homogamy were observed. More independent studies with larger sample sizes are warranted to further validate these findings in the future.

Indexed as

LipidsSpousesTriglyceridesAdultChinaCholesterolCholesterol, HDLCholesterol, LDLCohort StudiesFemaleHumansMaleMarriageMendelian Randomization AnalysisMiddle AgedCholesterolCholesterol, HDLCholesterol, LDLLipidsTriglyceridesAssortative matingConvergenceFamily-based studySocial homogamySpousal concordance

Identifiers

PMID40509817
PMCPMC12171595

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