0302 Associations Between Objective and Subjective Neighborhood Factors and Sleep Amongst Middle-aged Adults in the HANDLS Sleep Study

Abstract Introduction Empirical evidence supports an association between poor neighborhood characteristics and poor sleep. However, limited studies have explored the influence of neighborhood factors in observed Black/White differences in actigraphic sleep and self-reported insomnia. We examined objective/ subjective neighborhood factors related to actigraphic sleep health and insomnia symptoms and the moderating role of race. Methods The sample (N=223) included adults (Mage=62; 67% Black race; 70% female, 64% above poverty threshold) enrolled in the Healthy Aging in Neighborhoods of Diversity across the Life Span Sleep (HANDLSleep) study. Subjective neighborhood quality was assessed using three neighborhood scales (i.e., perceived disorder, cohesion, and social control). Objective neighborhood quality was assessed with the Neighborhood Atlas Area Deprivation Index (ADI). Actigraphic sleep was assessed across 7 days and captured sleep onset, sleep onset variability, total sleep time (TST), wake after sleep onset (WASO) and sleep maintenance efficiency (SMEff). Insomnia symptom severity was assessed with the Insomnia Severity Index (ISI). Linear and logistic regression models were conducted to test the study aims and adjusted for demographic covariates (e.g., age, sex, and poverty status). Results Greater perceived neighborhood disorder was associated with greater actigraphic WASO (b=0.57, SE=0.19, p=.003) and less SMEff (b=-0.07, SE=0.03, p=.030), and an increased odds of insomnia symptom severity >=10 (OR=1.04, SE=0.02, p=.008). Higher perceived neighborhood social cohesion and social control was associated with less WASO (b=-1.11, SE=0.34, p=.001; b=-1.40, SE=0.46, p=.003) and greater SMEff (b=0.14, SE=0.06, p= .010; b=0.20, SE=0.08, p=.01) and a decreased odds of insomnia symptom severity (OR=0.93, SE = 0.02, p=.010; OR=0.91, SE=0.03, p=.010). Strictly among Black adults, higher neighborhood social control was significantly associated with a decreased odds of having an insomnia symptom severity >=10 (OR = 0.86, CI = 0.78-0.95). Strictly among White adults, residing in a more socioeconomically disadvantaged neighborhood was associated with an increased odds of having insomnia symptom severity >=10 (OR = 1.46, CI = 1.02-2.08). Conclusion These results demonstrate racial differences in associations between neighborhood characteristics and sleep, mechanisms of which should be further examined to strengthen the efficacy of mitigating sleep health issues. These findings motivate future research on altering neighborhood conditions to improve sleep health. Support (if any) Z01–AG000194/UF1-AG072619, UF1-AG072619

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Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0302
Primary Topic
Sleep and related disorders
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article
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article

0302 Associations Between Objective and Subjective Neighborhood Factors and Sleep Amongst Middle-aged Adults in the HANDLS Sleep Study

Lindsay Master, Angel Collie, Alan Zonderman, Michele Evans et al.
SLEEP
Sleep and related disorders
article

0302 Associations Between Objective and Subjective Neighborhood Factors and Sleep Amongst Middle-aged Adults in the HANDLS Sleep Study

Lindsay Master, Angel Collie, Alan Zonderman, Michele Evans, Alexa Allan, Alyssa Gamaldo, Adwoa Dadzie, Orfeu Buxton
article en

Abstract

Abstract Introduction Empirical evidence supports an association between poor neighborhood characteristics and poor sleep. However, limited studies have explored the influence of neighborhood factors in observed Black/White differences in actigraphic sleep and self-reported insomnia. We examined objective/ subjective neighborhood factors related to actigraphic sleep health and insomnia symptoms and the moderating role of race. Methods The sample (N=223) included adults (Mage=62; 67% Black race; 70% female, 64% above poverty threshold) enrolled in the Healthy Aging in Neighborhoods of Diversity across the Life Span Sleep (HANDLSleep) study. Subjective neighborhood quality was assessed using three neighborhood scales (i.e., perceived disorder, cohesion, and social control). Objective neighborhood quality was assessed with the Neighborhood Atlas Area Deprivation Index (ADI). Actigraphic sleep was assessed across 7 days and captured sleep onset, sleep onset variability, total sleep time (TST), wake after sleep onset (WASO) and sleep maintenance efficiency (SMEff). Insomnia symptom severity was assessed with the Insomnia Severity Index (ISI). Linear and logistic regression models were conducted to test the study aims and adjusted for demographic covariates (e.g., age, sex, and poverty status). Results Greater perceived neighborhood disorder was associated with greater actigraphic WASO (b=0.57, SE=0.19, p=.003) and less SMEff (b=-0.07, SE=0.03, p=.030), and an increased odds of insomnia symptom severity >=10 (OR=1.04, SE=0.02, p=.008). Higher perceived neighborhood social cohesion and social control was associated with less WASO (b=-1.11, SE=0.34, p=.001; b=-1.40, SE=0.46, p=.003) and greater SMEff (b=0.14, SE=0.06, p= .010; b=0.20, SE=0.08, p=.01) and a decreased odds of insomnia symptom severity (OR=0.93, SE = 0.02, p=.010; OR=0.91, SE=0.03, p=.010). Strictly among Black adults, higher neighborhood social control was significantly associated with a decreased odds of having an insomnia symptom severity >=10 (OR = 0.86, CI = 0.78-0.95). Strictly among White adults, residing in a more socioeconomically disadvantaged neighborhood was associated with an increased odds of having insomnia symptom severity >=10 (OR = 1.46, CI = 1.02-2.08). Conclusion These results demonstrate racial differences in associations between neighborhood characteristics and sleep, mechanisms of which should be further examined to strengthen the efficacy of mitigating sleep health issues. These findings motivate future research on altering neighborhood conditions to improve sleep health. Support (if any) Z01–AG000194/UF1-AG072619, UF1-AG072619

SLEEPVol. 49(Supplement_1)
Pennsylvania State University (US), University of Florida (US), Institute on Aging (US), National Institute on Aging (US), Clemson University (US)
No poverty
Openalex Percentile: Top 6%
Sleep and related disorders
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