美国老年人的遗传预测特征BMI、日常歧视和生活满意度

IF 1.2 Q3 PSYCHOLOGY, BIOLOGICAL

Adaptive Human Behavior and Physiology Pub Date : 2022-04-01 DOI:10.1007/s40750-022-00189-5

Aniruddha Das Ph.D.

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引用次数: 0

摘要

目的本研究测试了遗传预测的特征体重指数（trait BMI）是否与老年人更普遍的日常歧视有关，从而与他们的生活满意度下降有关。方法数据来自健康与退休研究，该研究在全国范围内代表了50岁以上的美国成年人。使用遗传预测模型提取BMI的特征成分，然后将其应用于回归模型中进行判别。最近开发的一种“残差回归”方法被用来测试与随后生活满意度变化的相关性。结果遗传预测的特征BMI与更普遍的歧视报告有关。它也与生活满意度的变化有负面联系——这种联系并不总是或强烈地受到歧视的影响。结论高BMI——可以说是抵抗个人努力的持续改变——似乎与老年人生活满意度的下降有关。然而，一般的日常歧视可能不是一个重要的机制。

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Genetically-predicted trait-BMI, everyday discrimination and life satisfaction among older U.S. adults

Objectives

This study tested whether genetically predicted trait-body mass index (trait-BMI) was linked to more general daily discrimination among older adults, and consequently to decline in their life satisfaction.

Methods

Data were from the Health and Retirement Study, nationally representative of U.S. adults over 50. Genetic prediction models were used to extract the trait component of BMI, which was then deployed in regression models for discrimination. A recently developed “regression with residuals” approach was used to test associations with subsequent change in life satisfaction.

Results

Genetically predicted trait-BMI was linked to more general discrimination reports. It also had negative associations with change in life satisfaction—linkages not consistently or strongly mediated by discrimination.

Conclusions

Trait-BMI—arguably resistant to sustained alteration through individual efforts—seems linked to decline in older adults’ life satisfaction. General daily discrimination, however, may not be an important mechanism.

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来源期刊

Adaptive Human Behavior and Physiology PSYCHOLOGY, BIOLOGICAL-

CiteScore

3.10

自引率

6.20%

发文量

期刊介绍： Adaptive Human Behavior and Physiology is an international interdisciplinary scientific journal that publishes theoretical and empirical studies of any aspects of adaptive human behavior (e.g. cooperation, affiliation, and bonding, competition and aggression, sex and relationships, parenting, decision-making), with emphasis on studies that also address the biological (e.g. neural, endocrine, immune, cardiovascular, genetic) mechanisms controlling behavior.