社会劣势是一种慢性压力源吗?英国老年人的社会经济地位和 HPA 轴活动。

IF 3.4 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Georgia Chatzi , Tarani Chandola , Natalie Shlomo , Alexandru Cernat , Tina Hannemann
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引用次数: 0

摘要

简介生活在社会经济不利条件下被认为是一种慢性压力源,尽管这与使用毛发皮质醇和可的松作为衡量下丘脑-垂体-肾上腺(HPA)1 轴活动的研究证据相矛盾。这些研究使用了完整病例分析,忽略了缺失数据对推断的影响,尽管生物标志物数据缺失的比例很高。本研究通过比较三种处理缺失数据的常用方法:(1)完整病例分析法(CCA)3、(2)反概率加权法(IPW)4 和(3)加权多重估算法(MI),考虑了调查社会经济地位(SEP)2(定义为教育、财富和社会阶层)与毛发皮质醇和可的松之间关系的研究在方法上的局限性。5 本研究采用三种缺失数据补偿方法,研究社会经济劣势是否与老年人毛发皮质醇和可的松测量的 HPA 轴活动水平较高有关:我们研究了英国老龄化纵向研究(ELSA)6 第 6 次调查(2012-2013 年)中 4573 名参与者头发样本中的皮质醇和可的松水平,并将其与教育、财富和社会阶层联系起来。我们将线性回归模型与 CCA、加权和多重估算加权线性回归模型进行了比较:与条件最优越的群体相比,具有某些特征的社会群体(即少数民族、从事日常工作和体力劳动、不爱运动、健康状况较差和吸烟者)较少获得毛发皮质醇和毛发可的松数据。我们发现,与社会经济条件最优越的群体相比,社会经济条件最差的群体的毛发皮质醇和可的松水平更高。针对缺失数据的完整病例方法低估了最弱势群体在教育和社会阶层方面的毛发皮质醇水平,以及在教育、财富和社会阶层方面的毛发可的松水平:本研究表明,以弱势 SEP 衡量的社会弱势与 HPA 轴活动增加有关。将社会弱势作为一种慢性压力源的概念可能是有效的,而之前的研究报告称 SEP 与毛发皮质醇之间没有关联,这可能是有偏差的,因为这些研究没有考虑缺失数据的情况,而缺失数据显示社会弱势群体在分析中的代表性不足。未来使用生物社会数据进行分析时可能需要考虑并调整缺失数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is social disadvantage a chronic stressor? Socioeconomic position and HPA axis activity among older adults living in England

Introduction

Living in socioeconomic disadvantage has been conceptualised as a chronic stressor, although this contradicts evidence from studies using hair cortisol and cortisone as a measure of hypothalamus-pituitary-adrenal (HPA)1 axis activity. These studies used complete case analyses, ignoring the impact of missing data for inference, despite the high proportion of missing biomarker data. The methodological limitations of studies investigating the association between socioeconomic position (SEP)2 defined as education, wealth, and social class and hair cortisol and cortisone are considered in this study by comparing three common methods to deal with missing data: (1) Complete Case Analysis (CCA),3 (2) Inverse Probability Weighting (IPW) 4and (3) weighted Multiple Imputation (MI).5 This study examines if socioeconomic disadvantage is associated with higher levels of HPA axis activity as measured by hair cortisol and cortisone among older adults using three approaches for compensating for missing data.

Method

Cortisol and cortisone levels in hair samples from 4573 participants in the 6th wave (2012–2013) of the English Longitudinal Study of Ageing (ELSA)6 were examined, in relation to education, wealth, and social class. We compared linear regression models with CCA, weighted and multiple imputed weighted linear regression models.

Results

Social groups with certain characteristics (i.e., ethnic minorities, in routine and manual occupations, physically inactive, with poorer health, and smokers) were less likely to have hair cortisol and hair cortisone data compared to the most advantaged groups. We found a consistent pattern of higher levels of hair cortisol and cortisone among the most socioeconomically disadvantaged groups compared to the most advantaged groups. Complete case approaches to missing data underestimated the levels of hair cortisol in education and social class and the levels of hair cortisone in education, wealth, and social class in the most disadvantaged groups.

Conclusion

This study demonstrates that social disadvantage as measured by disadvantaged SEP is associated with increased HPA axis activity. The conceptualisation of social disadvantage as a chronic stressor may be valid and previous studies reporting no associations between SEP and hair cortisol may be biased due to their lack of consideration of missing data cases which showed the underrepresentation of disadvantaged social groups in the analyses. Future analyses using biosocial data may need to consider and adjust for missing data.

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来源期刊
Psychoneuroendocrinology
Psychoneuroendocrinology 医学-精神病学
CiteScore
7.40
自引率
8.10%
发文量
268
审稿时长
66 days
期刊介绍: Psychoneuroendocrinology publishes papers dealing with the interrelated disciplines of psychology, neurobiology, endocrinology, immunology, neurology, and psychiatry, with an emphasis on multidisciplinary studies aiming at integrating these disciplines in terms of either basic research or clinical implications. One of the main goals is to understand how a variety of psychobiological factors interact in the expression of the stress response as it relates to the development and/or maintenance of neuropsychiatric illnesses.
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