Dataset Information

Socioeconomic status in childhood predicts sleep continuity in adult Black and White men.

ABSTRACT:

Objectives

Low socioeconomic status (SES) in childhood may be associated with sleep in adulthood. We evaluated the relationships between SES in childhood through adolescence and into adulthood and sleep in midlife men.

Design

Prospective assessment of SES in childhood and adulthood.

Setting

Population-based study of 139 Black and 105 White men enrolled since age 7 and evaluated for sleep characteristics at age 32.

Measurements

Actigraphy and diary measures of sleep duration, continuity, and quality for 1 week. Their parents reported their SES (a combination of educational attainment and occupational status) annually when the boys were ages 7 to 16. We estimated SES intercept (age 7) and slope (age 7 to 16) using M-Plus and conducted linear regression analyses using those values to predict adult sleep measures, adjusting for covariates.

Results

Men who had lower SES families at age 7, smaller increases in SES from ages 7 to 16, and lower SES in adulthood had more minutes awake after sleep onset. White men with greater increases in SES from ages 7 to 16 had shorter sleep.

Conclusions

SES in childhood and improvement in SES through adolescence are related to sleep continuity in midlife men. To our knowledge, this is the first report using prospectively measured SES in childhood in relation to adult sleep.

SUBMITTER: Matthews KA

PROVIDER: S-EPMC5771424 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Publications

Socioeconomic status in childhood predicts sleep continuity in adult Black and White men.

Matthews Karen A KA Jennings J Richard JR Lee Laisze L

Sleep health 20171023 1

<h4>Objectives</h4>Low socioeconomic status (SES) in childhood may be associated with sleep in adulthood. We evaluated the relationships between SES in childhood through adolescence and into adulthood and sleep in midlife men.<h4>Design</h4>Prospective assessment of SES in childhood and adulthood.<h4>Setting</h4>Population-based study of 139 Black and 105 White men enrolled since age 7 and evaluated for sleep characteristics at age 32.<h4>Measurements</h4>Actigraphy and diary measures of sleep d ...[more]

PMID: 29332679

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Project description:Study objectives: This study examines the influence of individual and neighbourhood socioeconomic status (SES) on mortality among black, Mexican-American, and white women and men in the US. The authors had three study objectives. Firstly, they examined mortality rates by both individual level SES (measured by income, education, and occupational/employment status) and neighbourhood level SES (index of neighbourhood income/wealth, educational attainment, occupational status, and employment status). Secondly, they examined whether neighbourhood SES was associated with mortality after controlling for individual SES. Thirdly, they calculated the population attributable risk to estimate the reduction in mortality rates if all women and men lived in the highest SES neighbourhoods.DesignNational Health Interview Survey (1987-1994), linked with 1990 census tract (neighbourhood proxy) and mortality data through 1997.Setting/participantsNationally representative sample of 59 935 black, 19 201 Mexican-American, and 344 432 white men and women (six gender and racial/ethnic groups), aged 25-64 at interview.Main resultsMortality rates for all six gender and racial/ethnic groups were two to four times higher for those with the lowest incomes (lowest quartile) who lived in the lowest SES neighbourhoods (lowest tertile) compared with those with the highest incomes who lived in the highest SES neighbourhoods. For the six groups, the age adjusted mortality risk associated with living in the lowest SES neighbourhoods ranged from 1.43 to 1.61. The mortality risk decreased but remained significant (p values <.05) after adjusting for each of the three individual measures of SES, with the exception of Mexican-American women. Furthermore, the mortality risk associated with living in the lowest SES neighbourhoods remained significant after simultaneously adjusting for all three individual measures of SES for white men (p<0.001) and white women (p<0.05). Deaths would hypothetically be reduced by about 20% for each subgroup if everyone had the same death rates as those living in the highest SES neighbourhoods (highest tertile).ConclusionsLiving in a low SES neighbourhood confers additional mortality risk beyond individual SES.

Project description:ObjectivesTo investigate Black-White disparities in suboptimal sleep and cardiometabolic health by government-assisted rental housing status.DesignNational Health Interview Survey (NHIS) pooled cross-sectional data (2004-2016).SettingUnited States.ParticipantsBlack and White adult participants (n = 80,880).MeasurementsPoisson regression with robust variance was used to estimate prevalence ratios (PRs) and 95% confidence intervals for self-reported unrecommended (<6 hours), short (≤6-<7 hours), and long (>9 hours) sleep duration (each separately vs recommended (≤7-9 hours)) and sleep difficulties (eg, trouble falling/staying asleep ≥3 days/week) (yes vs no) among Blacks compared to Whites within rental housing categories (government-assisted vs unassisted), separately, for men and women. Within sex/housing categories, we applied the same approach to compare cardiometabolic health outcomes (ie, overweight/obesity, hypertension, diabetes, heart disease, stroke) between Blacks with worse sleep and Whites with recommended sleep. Models were adjusted for age and other potential confounders.ResultsParticipants' mean age was 42 ± 18 years, 57% were female, and 30% Black. Blacks in unassisted housing had a higher prevalence of unrecommended and short sleep (PR = 1.22 [1.15-1.30] -men, PR = 1.14 [1.08-1.21] -women) compared to their White counterparts (phousing⁎race = 0.001 -men, phousing⁎race = 0.008 -women), but no Black-White differences (PR = 0.88 [0.73-1.07] -men, PR = 0.98 [0.89-1.09] -women) were observed among government-assisted renters. Generally, Blacks were less likely to report sleep difficulties than Whites. Cardiometabolic health disparities between Blacks with worse sleep and Whites with recommended sleep were generally smaller among government-assisted renters, but relationships varied by sex.ConclusionsThere were no racial disparities in short sleep duration, and cardiometabolic health disparities were generally attenuated when Blacks and Whites resided in government-assisted rental housing.

Dataset Information

Socioeconomic status in childhood predicts sleep continuity in adult Black and White men.

Objectives

Design

Setting

Measurements

Results

Conclusions

Publications

Socioeconomic status in childhood predicts sleep continuity in adult Black and White men.

Similar Datasets

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