Cardiovascular Research

Association of stress and resilience with cardiometabolic health among American Indian and Alaska Native adults.

Authors: Cassandra J Nikolaus|||Ka'imi Sinclair|||Dedra Buchwald|||Astrid M Suchy-Dicey

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Abstract

Evidence suggests that perceived stress and psychological resilience are related to the presence and severity of cardiometabolic disease. Despite increased stress and cardiometabolic disease burden among American Indian and Alaska Native (AI/AN) people, the relationships between these factors are not well established in these populations. The objective of this study was to evaluate the relationships of stress with five cardiometabolic health indicators and to assess whether psychological resilience mediates these relationships in AI/AN adults. Four hundred and ninety-six AI/AN attendees were surveyed at three powwows. The questionnaire included sociodemographic items, questions on self-reported obesity, prediabetes, diabetes, high blood pressure, and high cholesterol, the Perceived Stress Scale, and the Brief Resilience Scale. Multivariable logistic regression models were used to measure associations of health indicators with Perceived Stress Scale and Brief Resilience Scale scores while controlling for sociodemographic characteristics. Among respondents, obesity was the most common cardiometabolic health indicator reported (48%), followed by high blood pressure, prediabetes, diabetes, and high cholesterol. Mean Perceived Stress Scale and Brief Resilience Scale scores were 16.1 (6.4 SD) and 3.5 (0.7 SD), respectively. Higher Perceived Stress Scale scores were associated with greater odds of self-reported prediabetes and diabetes. Brief Resilience Scale scores did not serve as a mediator. These results suggest that perceived stress is associated with some self-reported indicators of cardiometabolic health among AI/AN adults, but findings are limited by the convenience sample, reliance on self-report, and cross-sectional design. Future work should capitalize on nationally representative data, longitudinal designs, and objective measures of cardiometabolic health.

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