Associations between self-reported sleep duration and cardiometabolic risk factors in young African-origin adults from the five-country modeling the epidemiologic transition study (METS).
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ABSTRACT:
SUBMITTER: Rae DE
PROVIDER: S-EPMC7529682 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Publications
Associations between self-reported sleep duration and cardiometabolic risk factors in young African-origin adults from the five-country modeling the epidemiologic transition study (METS).
Rae Dale Elizabeth DE Dugas Lara Ruth LR Roden Laura Catherine LC Lambert Estelle Vicki EV Bovet Pascal P Plange-Rhule Jacob J Forrester Terrence T Riesen Walter W Korte Wolfgang W Crowley Stephanie J SJ Reutrakul Sirimon S Luke Amy A
Sleep health 20200419 4
<h4>Objectives</h4>To investigate associations between self-reported sleep duration and cardiometabolic (CM) risk factors in African-origin adults residing in five countries spanning the epidemiologic transition.<h4>Design</h4>Cross-sectional.<h4>Setting and participants</h4>Ghanaian (n = 491), South African (n = 503), Jamaican (n = 508), Seychellois (n = 501) and American (n = 480) men and women.<h4>Measurements</h4>Self-reported sleep duration was obtained using questionnaires. Sex- and site-s ...[more]
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Project description:Self-reported short or long sleep duration has been associated with adverse cardiometabolic health outcomes in laboratory and epidemiologic studies, but interpretation of such data has been limited by methodologic issues.Adult respondents of the 2007-2008 US National Health and Nutrition Examination Survey (NHANES) were examined in a cross-sectional analysis (N=5649). Self-reported sleep duration was categorized as very short (<5 h), short (5-6 h), normal (7-8 h), or long (?9 h). Obesity, diabetes mellitus (DM), hypertension, and hyperlipidemia were objectively assessed by self-reported history. Statistical analyses included univariate comparisons across sleep duration categories for all variables. Binary logistic regression analyses and cardiometabolic factor as outcome, with sleep duration category as predictor, were assessed with and without covariates. Observed relationships were further assessed for dependence on race/ethnicity.In adjusted analyses, very short sleep was associated with self-reported hypertension (odds ratio [OR], 2.02, [95% confidence interval {CI},1.45-2.81]; P<0.0001), self-reported hyperlipidemia (OR, 1.96 [95% CI, 1.43-2.69]; P<0.0001), objective hyperlipidemia (OR, 1.41 [95% CI, 1.04-1.91]; P=0.03), self-reported DM (OR, 1.76 [95% CI, 1.13-2.74]; P=0.01), and objective obesity (OR, 1.53 [95% CI, 1.03-1.43]; P=0.005). Regarding short sleep (5-6 h), in adjusted analyses, elevated risk was seen for self-reported hypertension (OR, 1.22 [95% CI, 1.02-1.45]; P=0.03) self-reported obesity (OR, 1.21 [95% CI, 1.03-1.43]; P=0.02), and objective obesity (OR, 1.17 [95% CI, 1.00-1.38]; P<0.05). Regarding long sleep (?9 h), no elevated risk was found for any outcomes. Interactions with race/ethnicity were significant for all outcomes; race/ethnicity differences in patterns of risk varied by outcome studied. In particular, the relationship between very short sleep and obesity was strongest among blacks and the relationship between short sleep and hypertension is strongest among non-Hispanic whites, blacks, and non-Mexican Hispanics/Latinos.Short sleep duration is associated with self-reported and objectively determined adverse cardiometabolic outcomes, even after adjustment for many covariates. Also, these patterns of risk depend on race/ethnicity.
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Project description:The objective of the present study was to investigate the relationship between sleep insufficiency and sleep duration, particularly regarding negative cardiometabolic health outcomes already considered to be affected by reduced sleep time.A total of N=30,934 participants from the 2009 Behavioural Risk Factor Surveillance System (BRFSS) answered questions about their sleep duration as well as subjective feelings of sleep insufficiency. Outcomes included body mass index (BMI), obesity (BMI ? 30kgm(-2)) and history of hypertension, diabetes, hypercholesterolaemia, heart attack and stroke. Linear and logistic regression models examined whether cardiometabolic outcomes were associated with (1) sleep duration alone, (2) sleep insufficiency alone and (3) the combined effect of sleep duration and sleep insufficiency.Results indicated that, when examined alone, sleep duration <5h (versus 7h) was related to BMI (B=2.716, p<0.01), obesity (B=2.080, p<0.000001), diabetes (B=3.162, p<0.000001), hypertension (B=2.703, p<0.000001), hypercholesterolaemia (B=1.922, p<0.00001), heart attack (B=4.704, p<0.000001) and stroke (B=4.558, p<0.000001), and sleep insufficiency (days per week, continuous) was related to BMI (B=0.181, p<0.01), obesity (B=1.061, p<0.000001) and hypercholesterolaemia (B=1.025, p<0.01). All of these relationships remained significant after adjustment for covariates, except for diabetes and sleep duration. Also, after adjustment, a significant relationship between insufficient sleep and hypertension emerged (B=1.039, p<0.001). When evaluated together, after adjustment for covariates, significant relationships remained between sleep duration <5h (versus 7h) and BMI (B=1.266, p<0.05), obesity (B=1.389, p<0.05), hypertension (B=1.555, p<0.01), heart attack (B=2.513, p<0.01) and stroke (B=1.807, p<0.05). It should be noted that relationships between sleep duration >9h (versus 7h) were seen for heart attack (B=1.863, p<0.001) and stroke (B=1.816, p<0.01). In these models, sleep insufficiency was associated with hypercholesterolaemia (B=1.031, p<0.01) and hypertension (B=1.027, p<0.05).These analyses show that both sleep duration and insufficiency are related to cardiometabolic health outcomes, and that when evaluated together, both variables demonstrate unique effects.
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Project description:Education usually shows a relationship with self-rated health such that those with highest education have the best health and those with lowest education have the worst health. We examine these educational gradients among Asian immigrants and whether they differ by country of origin, duration in the United States, and generational status. Migration theories suggest that recent immigrants from poorer countries should show a weaker relationship between education and health than US-born Whites. Acculturation theory further suggests that differences in gradients across country of origin should diminish for longer-term immigrants and the US-born and that these groups should display gradients similar to US-born Whites. We use the March Current Population Survey (2000 - 2010) to examine educational gradients in self-rated health among recent immigrants (≤ 15 years duration), longer-term immigrants (> 15 years duration), and second generation US-born Asians from China (n = 4473), India (n = 4,307), the Philippines (n = 5746), South Korea (n = 2760), and Japan (n = 1265). We find weak or non-significant educational gradients among recent Asian immigrants across the five countries of origin. There is no indication that longer-term immigrants display significant differences across educational status. Only second generation Chinese and Filipinos show significant differences by educational status. Overall, Asians show an attenuated relationship between education and self-rated health compared to US-Whites that persists over duration in the US and generational status. Our findings show shortcomings in migration and acculturation theories to explain these gradient patterns. Future research could use binational data or explore psychosocial factors to identify potential suppressors of educational gradients.
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Project description:Recent epidemiologic studies have found that self-reported duration of sleep is associated with obesity, diabetes, hypertension, and mortality. The extent to which self reports of sleep duration are similar to objective measures and whether individual characteristics influence the degree of similarity are not known.Eligible participants at the Chicago site of the Coronary Artery Risk Development in Young Adults Study were invited to participate in a 2003-2005 ancillary sleep study; 82% (n = 669) agreed. Sleep measurements collected in 2 waves included 3 days each of wrist actigraphy, a sleep log, and questions about usual sleep duration. We estimate the average difference and correlation between subjectively and objectively measured sleep by using errors-in-variables regression models.Average measured sleep was 6 hours, whereas the average from subjective reports was 6.8 hours. Subjective reports increased on average by 34 minutes for each additional hour of measured sleep. Overall, the correlation between reported and measured sleep duration was 0.47. Our model suggests that persons sleeping 5 hours over-reported their sleep duration by 1.2 hours, and those sleeping 7 hours over-reported by 0.4 hours. The correlations and average differences between self-reports and measured sleep varied by health, sociodemographic, and sleep characteristics.In a population-based sample of middle-aged adults, subjective reports of habitual sleep are moderately correlated with actigraph-measured sleep, but are biased by systematic over-reporting. The true associations between sleep duration and health may differ from previously reported associations between self-reported sleep and health.
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Project description:ObjectivesTo advance understanding of the relationship between discrimination and sleep duration and difficulties, with consideration of multiple dimensions of discrimination, and attention to concurrent stressors; and to examine the contribution of discrimination and other stressors to racial/ ethnic differences in these outcomes.DesignCross-sectional probability sample.SettingChicago, IL.ParticipantsThere were 2,983 black, Hispanic, and white adults.Measurements and resultsOutcomes included self-reported sleep duration and difficulties. Discrimination, including racial and nonracial everyday and major experiences of discrimination, workplace harassment and incivilities, and other stressors were assessed via questionnaire. In models adjusted for sociodemographic characteristics, greater exposure to racial (? = -0.14)) and nonracial (? = -0.08) everyday discrimination, major experiences of discrimination attributed to race/ethnicity (? = -0.17), and workplace harassment and incivilities (? = -0.14) were associated with shorter sleep (P < 0.05). The association between major experiences of discrimination attributed to race/ethnicity and sleep duration (? = -0.09, P < 0.05) was independent of concurrent stressors (i.e., acute events, childhood adversity, and financial, community, employment, and relationship stressors). Racial (? = 0.04) and non-racial (? = 0.05) everyday discrimination and racial (? = 0.04) and nonracial (? = 0.04) major experiences of discrimination, and workplace harassment and incivilities (? = 0.04) were also associated with more (log) sleep difficulties, and associations between racial and nonracial everyday discrimination and sleep difficulties remained after adjustment for other stressors (P < 0.05). Racial/ethnic differences in sleep duration and difficulties were not significant after adjustment for discrimination (P > 0.05).ConclusionsDiscrimination was associated with shorter sleep and more sleep difficulties, independent of socioeconomic status and other stressors, and may account for some of the racial/ethnic differences in sleep.
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Project description:Study objectivesThis study aims to examine associations between acculturative stress-defined as the psychological impact, or stress reaction, of adapting to a new cultural context-and self-reported sleep outcomes among Chinese and Korean immigrants in the United States.MethodsIn this cross-sectional study, acculturative stress was assessed using a 9-item scale, and sleep disturbance was measured using the 8-item scale. Sleep duration was self-reported. Poisson and linear regression analyses were conducted to examine the associations between acculturative stress, sleep disturbance, and sleep duration.ResultsOur sample consists of 400 participants (females: 52%, Chinese: 50%, Koreans: 50%, the mean of age = 58.4). 81.8% of them were classified as having no sleep disturbance, whereas 18.2% were classified as having sleep disturbance. Poisson models revealed that greater acculturative stress was associated with a higher prevalence of sleep disturbance (Prevalence Ratio (PR): 1.18, 95% confidence interval (CI): 1.06% to 1.31%). In linear models, a one-unit increase in acculturative stress was associated with 0.08 hr less sleep (p < .05). Interaction tests indicated effect modification for sleep disturbance by sex and ethnic identity: only women had a significant association between acculturative stress and sleep disturbance (PR: 1.30; 95% CI: 1.13 to 1.49), while the association was significant for individuals identifying as "very Asian" (PR: 1.21; 95% CI: 1.08 to 1.35), but not for those identifying as "mostly Asian" or "bicultural/western".ConclusionsIf findings are replicated, we suggest developing intervention programs for Asian immigrants to minimize acculturative stress and bolster protective factors that decrease the risk for poor sleep outcomes.Information on Clinical Trial: Name: Screening To Prevent ColoRectal Cancer (STOP CRC) among At-Risk Asian American Primary Care Patients NCT Number: NCT03481296 URL: https://clinicaltrials.gov/ct2/show/NCT03481296?term=Sunmin+Lee&draw=2&rank=1.
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