Financial strain moderates genetic influences on self-rated health: support for diathesis-stress model of gene-environment interplay.

IF 0.9 4区 社会学 Q3 DEMOGRAPHY
Deborah Finkel, Catalina Zavala, Carol E Franz, Shandell Pahlen, Margaret Gatz, Nancy L Pedersen, Brian K Finch, Anna Dahl Aslan, Vibeke S Catts, Malin Ericsson, Robert F Krueger, Nicholas G Martin, Adith Mohan, Miriam A Mosing, Carol A Prescott, Keith E Whitfield
{"title":"Financial strain moderates genetic influences on self-rated health: support for diathesis-stress model of gene-environment interplay.","authors":"Deborah Finkel,&nbsp;Catalina Zavala,&nbsp;Carol E Franz,&nbsp;Shandell Pahlen,&nbsp;Margaret Gatz,&nbsp;Nancy L Pedersen,&nbsp;Brian K Finch,&nbsp;Anna Dahl Aslan,&nbsp;Vibeke S Catts,&nbsp;Malin Ericsson,&nbsp;Robert F Krueger,&nbsp;Nicholas G Martin,&nbsp;Adith Mohan,&nbsp;Miriam A Mosing,&nbsp;Carol A Prescott,&nbsp;Keith E Whitfield","doi":"10.1080/19485565.2022.2037069","DOIUrl":null,"url":null,"abstract":"<p><p>Data from the Interplay of Genes and Environment across Multiple Studies (IGEMS) consortium were used to examine predictions of different models of gene-by-environment interaction to understand how genetic variance in self-rated health (SRH) varies at different levels of financial strain. A total of 11,359 individuals from 10 twin studies in Australia, Sweden, and the United States contributed relevant data, including 2,074 monozygotic and 2,623 dizygotic twin pairs. Age ranged from 22 to 98 years, with a mean age of 61.05 (SD = 13.24). A factor model was used to create a harmonized measure of financial strain across studies and items. Twin analyses of genetic and environmental variance for SRH incorporating age, age<sup>2</sup>, sex, and financial strain moderators indicated significant financial strain moderation of genetic influences on self-rated health. Moderation results did not differ across sex or country. Genetic variance for SRH increased as financial strain increased, matching the predictions of the diathesis-stress and social comparison models for components of variance. Under these models, environmental improvements would be expected to reduce genetically based health disparities.</p>","PeriodicalId":45428,"journal":{"name":"Biodemography and Social Biology","volume":"67 1","pages":"58-70"},"PeriodicalIF":0.9000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038652/pdf/nihms-1780343.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodemography and Social Biology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/19485565.2022.2037069","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

Data from the Interplay of Genes and Environment across Multiple Studies (IGEMS) consortium were used to examine predictions of different models of gene-by-environment interaction to understand how genetic variance in self-rated health (SRH) varies at different levels of financial strain. A total of 11,359 individuals from 10 twin studies in Australia, Sweden, and the United States contributed relevant data, including 2,074 monozygotic and 2,623 dizygotic twin pairs. Age ranged from 22 to 98 years, with a mean age of 61.05 (SD = 13.24). A factor model was used to create a harmonized measure of financial strain across studies and items. Twin analyses of genetic and environmental variance for SRH incorporating age, age2, sex, and financial strain moderators indicated significant financial strain moderation of genetic influences on self-rated health. Moderation results did not differ across sex or country. Genetic variance for SRH increased as financial strain increased, matching the predictions of the diathesis-stress and social comparison models for components of variance. Under these models, environmental improvements would be expected to reduce genetically based health disparities.

经济压力调节基因对自评健康的影响:支持基因-环境相互作用的素质-压力模型。
来自基因与环境相互作用跨多项研究(IGEMS)联盟的数据被用来检验不同基因-环境相互作用模型的预测,以了解自我评估健康(SRH)的遗传变异如何在不同的经济压力水平下变化。来自澳大利亚、瑞典和美国的10项双胞胎研究共11359人提供了相关数据,其中包括2074对同卵双胞胎和2623对异卵双胞胎。年龄22 ~ 98岁,平均年龄61.05岁(SD = 13.24)。因子模型用于创建跨研究和项目的财务压力的统一度量。结合年龄、年龄、性别和经济压力调节因子的SRH遗传和环境变异双元分析表明,经济压力调节因子显著影响遗传对自评健康的影响。适度的结果在性别和国家之间没有差异。SRH的遗传方差随着经济压力的增加而增加,这与素质-压力模型和社会比较模型对方差成分的预测相吻合。在这些模型下,环境改善有望减少基于基因的健康差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.50
自引率
0.00%
发文量
14
期刊介绍: Biodemography and Social Biology is the official journal of The Society for the Study of Social Biology, devoted to furthering the discussion, advancement, and dissemination of knowledge about biological and sociocultural forces affecting the structure and composition of human populations. This interdisciplinary publication features contributions from scholars in the fields of sociology, demography, psychology, anthropology, biology, genetics, criminal justice, and others. Original manuscripts that further knowledge in the area of social biology are welcome, along with brief reports, review articles, and book reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信