The Association Between Race, Ethnicity and Sleep Quality and Duration: A National Health Interview Survey Study

Association Between Sleep Duration and Cardiovascular Disease Among Asian Americans

BACKGROUND

Cardiovascular disease (CVD) prevalence varies widely among Asian American adults. The American Heart Association added healthy sleep to its metrics to define ideal cardiovascular health. Little is known about the association between sleep and CVD prevalence among Asian subgroups. We aim to examine the association between suboptimal sleep duration and CVD risk prevalence among Asian American subgroups.

METHODS AND RESULTS

We used 2012 to 2018 National Health Interview Survey data to examine the association between suboptimal sleep duration and CVD prevalence. We included 6868 self-identifying Asian adults age >40 years (Asian Indian [n=1053], Chinese [n=1415], Filipino [n=1734], and Other Asian [n=2666] adults). Suboptimal sleep was defined as <7 or >9 hours per night. CVD was defined as self-reported stroke, heart attack, coronary artery disease, or angina. Logistic regression was used to calculate odds ratios and 95% CI to estimate the association between suboptimal sleep duration and CVD prevalence. Filipino and Other Asian participants with suboptimal sleep had the highest prevalence of CVD. Aggregated Asian American participants with suboptimal sleep duration had a higher prevalence of CVD (odds ratio [95% CI, 1.35 [1.09-1.68]) compared with those with optimal sleep duration. After stratification by race or ethnicity or both, a significant association persisted for Other Asian participants (1.77 [95% CI, 1.27-2.46]) but not among all other Asian American subgroups.

CONCLUSIONS

Our study highlights the heterogeneity of CVD prevalence associated with suboptimal sleep duration among Asian American adults. Future studies should consider how different measures of sleep duration and quality affect CVD outcomes among disaggregated Asian American subgroups.

The Role of Sleep in Cardiovascular Disease

PURPOSE OF REVIEW

Sleep is an important component of cardiovascular (CV) health. This review summarizes the complex relationship between sleep and CV disease (CVD). Additionally, we describe the data supporting the treatment of sleep disturbances in preventing and treating CVD.

RECENT FINDINGS

Recent guidelines recommend screening for obstructive sleep apnea in patients with atrial fibrillation. New data continues to demonstrate the importance of sleep quality and duration for CV health. There is a complex bidirectional relationship between sleep health and CVD. Sleep disturbances have systemic effects that contribute to the development of CVD, including hypertension, coronary artery disease, heart failure, and arrhythmias. Additionally, CVD contributes to the development of sleep disturbances. However, more data are needed to support the role of screening for and treatment of sleep disorders for the prevention of CVD.

Race/Ethnicity Inequities in the Association Between Movement Behaviors and Suicidal Thoughts/Ideation Among Adolescents

OBJECTIVE

We aimed to analyze the associations between movement behaviors (physical activity, screen time, and sleep), independently and jointly, and suicidal thoughts/ideation among Brazilian adolescents according to race/ethnicity.

METHODS

This cross-sectional study surveyed 4,081 adolescents aged 15-19 years (49.9% females) across all Brazilian geographic regions. Data were collected using a self-administered questionnaire. Within the sample, 31.0% (n = 1,264) self-reported as White and 69.0% (n = 2,817) as Black. Adolescents who declared one or more times/week suicidal thoughts/ideation were considered as a risk group. Accruing moderate-to-vigorous physical activity during leisure time, reduced recreational screen time, and good sleep quality were the exposures investigated. We evaluated both additive and multiplicative interactions between race/ethnicity and movement behaviors. Binary logistic regression was used to estimate the odds ratio (OR), marginal means effects, and 95% confidence intervals (95% CIs).

RESULTS

Black adolescents who met 1 (OR: 0.34; [95% CI: 0.22-0.52]), 2 (OR: 0.17 [0.11-0.27]), or 3 (OR: 0.13 [0.07-0.26]), and White adolescents who met 1 (OR: 0.35 [0.21-0.57]), 2 (OR: 0.14 [0.08-0.26]), or 3 (OR: 0.11 [0.04-0.31]) of the movement behavior targets had lower odds of suicidal thoughts/ideation than Black adolescents who did not meet any of the movement behavior targets. Black adolescents who did not meet any of the movement behavior targets had higher suicidal thoughts/ideation odds than the other adolescent's groups.

CONCLUSIONS

We identified an inverse association between meeting individuals and combinations of movement behavior targets with suicidal thoughts/ideation. Among Black adolescents who did not meet any targets, these associations were more evident.

Depression, Sleep Health & Sociodemographic Correlates in a Nationwide Survey: Implications for Depression Treatment During the COVID-19

Purpose

The COVID-19 pandemic has had a profound impact on mental health worldwide, with depression and sleep problems among the most common issues experienced by many individuals. Depression can lead to sleep problems, which can increase the risk of developing depressive symptoms. However, it is unclear which United States (US) sub-population was most affected by depression and sleep problems during the pandemic.

Methods

We conducted a secondary analysis using self-reported data from the 2021 National Health Interview Survey (NHIS), focusing on adults aged 18 years and above (n=29,763). We utilized self-reported responses to questions about prescription medication and frequency of depressive feelings to determine participants' depression status. Appropriate weights were applied to account for the sampling design of the surveys. Our analysis involved descriptive statistics and chi-squared tests to compare sociodemographic, clinical, behavioral, and sleep-related characteristics between US adults with and without depression. Additionally, logistic regression was used to examine the associations between sleep duration, sleep quality and depression.

Results

The overall prevalence of depression in our sample was 44.4%. It were higher in certain demographic groups, including younger adults (18-39 years, 47.7%), non-Hispanic whites (47.9%), females (50.1%), those at the lower income bracket (52.2%), those with no college or degree (48.7%) uninsured individuals (45.2%), and those reporting poor general health (71.9%). Individuals with depression had a 12% increased odds of experiencing short sleep (aOR: 1.12, 95% CI:1.04-1.20, p<0.001), 34% increased odds of experiencing long sleep (aOR: 1.34, 95% CI: 1.20-1.50, p < 0.001) and more than 2.5 fold increased odds of reporting poor sleep quality (aOR:2.57, 95% CI: 2.40-2.78; p<0.0001). In the multivariate analysis, all variables (sex, race/ethnicity, education, health insurance coverage, marital status, general health status and use of sleep medications, smoking and alcohol use status) were significantly predictors of poor sleep quality, with the exceptions of age and family income.

Conclusion

The findings emphasize the need to address sleep health in treating depression, especially during times of public health crises.