Spousal Educational Attainment and Sleep Duration Among American Older Adults.

J Gerontol B Psychol Sci Soc Sci

T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe.

Published: April 2021

Objectives: Sleep has consistently been shown to have a dyadic nature among married older adults; however, less is known about the influence of a spouses' social characteristics on one's own sleep. Focusing on older adults, we examined the association between one's spouses' educational attainment and one's own sleep duration.

Method: We used the 2004-2018 National Health Interview Survey (NHIS) to analyze heterosexual married adults aged 50-84 (N = 89,180). Respondents reported typical sleep duration in a 24-hr period, which was categorized as short (≤6 hr), normal (7-8 hr), or long (≥9 hr). We fit multinomial logistic regression models predicting these categories of sleep duration and accounted for demographic, household socioeconomic characteristics, and health/health behaviors. Using interaction terms, we tested if the association varied by the respondent's gender and educational attainment.

Results: Older adults married to spouses with college or more education had significantly lower relative risk of short sleep than those whose spouses had some college, high school, or less than high school education, net of the covariates including their own education. The benefit of higher levels of spousal education was significantly more protective against short sleep for women and more highly educated older adults.

Discussion: Older adults married to spouses with high levels of education reported more favorable sleep durations, but this benefit was significantly stronger for women and the highly educated which has important implications for their aging. These findings suggest that social inequality may condition the dyadic nature of sleep for heterosexual married older adults.

Download full-text PDF

Source
http://dx.doi.org/10.1093/geronb/gbaa206DOI Listing

Publication Analysis

Top Keywords

older adults
24
sleep duration
12
sleep
10
educational attainment
8
dyadic nature
8
married older
8
one's sleep
8
heterosexual married
8
adults married
8
married spouses
8

Similar Publications

Systemic lupus erythematosus (SLE) is an autoimmune disease whose pathogenesis is not fully understood to date. One of the suggested mechanisms for its development is NETosis, which involves the release of a specific network consisting of chromatin, proteins, and enzymes from neutrophils, stimulating the immune system. One of its markers is citrullinated histone H3 (H3Cit).

View Article and Find Full Text PDF

Background: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.

Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.

View Article and Find Full Text PDF

Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced artificial intelligence-driven solutions.

Objective: This study aimed to develop and evaluate the performance of HoMemeTown Dr.

View Article and Find Full Text PDF

Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.

Objective: This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!