» Articles » PMID: 38500780

Sleep Problems and Their Predictors in Community-dwelling Older Adults with Diabetes in India: Evidence from the Longitudinal Ageing Study in India

Overview
Journal Sleep Med X
Date 2024 Mar 19
PMID 38500780
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: To ascertain the prevalence and predictors of sleep disorders and poor sleep quality among older adults with Diabetes (DM) in India, and to assess the relationship between sleep quality and DM.

Methods: Data was utilized from the nationally representative Longitudinal Ageing Study in India (Wave-1, 2017-18), with a total sample of 66606 older adults (≥45 years) selected for the study. Sleep problems and sleep quality score were assessed using an adaptation based on the Jenkins Sleep Scale. Multivariate linear and logistic regressions were conducted to determine the effect of sociodemographic and clinical factors on sleep quality. Mediation analysis (Karlson-Holm-Breen) was done to assess the direct and indirect effects of independent variables on the sleep quality scores. Further, Propensity score matching (PSM) was done to assess the impact of diabetes on sleep problems.

Results: The prevalence of DM was 12.34% (n = 8564, 95% CI: 11.54, 13.20) among whom 24.38% (95% CI: 21.38, 27.65) reported sleep problems. On adjusted analysis, sleep problems were significantly associated with increasing education, higher wealth quintile, lack of physical activity, and multimorbidity. Mediation analysis showed adherence to anti-diabetes medication improved sleep quality (aB = -0.28 (95% CI: -0.54, -0.02)), while comorbidities worsened sleep quality (aB = 0.79 (95% CI: 0.67, 0.92)). Analysis from PSM indicated that DM was associated with a 6.2% higher chance of sleep problems.

Conclusions: Poor sleep quality is present in nearly one in four individuals diagnosed with DM in India and linked with certain adverse social determinants. Focused interventions to improve assessment and treatment of sleep problems in resource-limited primary care settings require prioritization.

References
1.
Basu S, Maheshwari V, Malik M, Agarwal P . Diabetes care cascade and their predictors in young and middle-aged population in India: evidence from the National Family Health Survey (2019-21). J Diabetes Metab Disord. 2023; 22(2):1405-1415. PMC: 10638169. DOI: 10.1007/s40200-023-01263-9. View

2.
Potter G, Skene D, Arendt J, Cade J, Grant P, Hardie L . Circadian Rhythm and Sleep Disruption: Causes, Metabolic Consequences, and Countermeasures. Endocr Rev. 2016; 37(6):584-608. PMC: 5142605. DOI: 10.1210/er.2016-1083. View

3.
Kuo C, Lu S, Huang C, Liao W, Lee M . Sleep Quality and Associated Factors in Adults with Type 2 Diabetes: A Retrospective Cohort Study. Int J Environ Res Public Health. 2021; 18(6). PMC: 7999598. DOI: 10.3390/ijerph18063025. View

4.
St-Onge M, Grandner M, Brown D, Conroy M, Jean-Louis G, Coons M . Sleep Duration and Quality: Impact on Lifestyle Behaviors and Cardiometabolic Health: A Scientific Statement From the American Heart Association. Circulation. 2016; 134(18):e367-e386. PMC: 5567876. DOI: 10.1161/CIR.0000000000000444. View

5.
Khan M, Hashim M, King J, Govender R, Mustafa H, Al Kaabi J . Epidemiology of Type 2 Diabetes - Global Burden of Disease and Forecasted Trends. J Epidemiol Glob Health. 2020; 10(1):107-111. PMC: 7310804. DOI: 10.2991/jegh.k.191028.001. View