Spousal Educational Attainment and Sleep Duration Among American Older Adults

2020 ◽  
Author(s):  
Connor Sheehan ◽  
Masumi Iida
Keyword(s):  
High School ◽  
Older Adults ◽  
Educational Attainment ◽  
Sleep Duration ◽  
Multinomial Logistic Regression ◽  
Social Characteristics ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Highly Educated ◽  
Interaction Terms

Abstract Objectives Sleep has consistently been shown to have a dyadic nature among married older adults; however, less is known about the influence of a spouses’ social characteristics on one’s own sleep. Focusing on older adults, we examined the association between one’s spouses’ educational attainment and one’s own sleep duration. Method We used the 2004–2018 National Health Interview Survey (NHIS) to analyze heterosexual married adults aged 50–84 (N = 89,180). Respondents reported typical sleep duration in a 24-hr period, which was categorized as short (≤6 hr), normal (7–8 hr), or long (≥9 hr). We fit multinomial logistic regression models predicting these categories of sleep duration and accounted for demographic, household socioeconomic characteristics, and health/health behaviors. Using interaction terms, we tested if the association varied by the respondent’s gender and educational attainment. Results Older adults married to spouses with college or more education had significantly lower relative risk of short sleep than those whose spouses had some college, high school, or less than high school education, net of the covariates including their own education. The benefit of higher levels of spousal education was significantly more protective against short sleep for women and more highly educated older adults. Discussion Older adults married to spouses with high levels of education reported more favorable sleep durations, but this benefit was significantly stronger for women and the highly educated which has important implications for their aging. These findings suggest that social inequality may condition the dyadic nature of sleep for heterosexual married older adults.

scholarly journals 0863 Age-categorized Trends In Self-reported Sleep Duration For The Non-institutionalized U.s. Civilian Population From 2004-2013: Considerations Of Racial/ethnic Variations

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A329-A329
Author(s):  
M Christina ◽  
O M Bubu ◽  
T Donley ◽  
J Blanc ◽  
E Oji ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Multinomial Logistic Regression ◽  
Population Level ◽  
Racial Categories ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Using Data ◽  
Study Participants ◽  
Ethnic Variations ◽  
Racial Ethnic

Abstract Introduction We examined age-categorized trends in self-reported sleep duration using data from the National Health Interview Survey (NHIS) 2004-2013 and explored how these trends may vary based on individuals’ race/ethnicity. Methods Study participants were aged 18-85 (N=258,158). Sleep duration within a 24-hour period on average was categorized as ≤ 6hrs (short-sleep), 7-8 hours (adequate-sleep), and ≥ 9hrs (long-sleep). Age was categorized as 18 - <26, 26 - <65 and 65 - 85. Racial categories included non-Hispanic Whites (NHW), Blacks/African Americans (AAs) and Hispanics. Adjusted multinomial logistic regression models examined trends in self-reported sleep duration across age-categories and assessed race/ethnic differences in these trends. Results Mean sleep duration (hrs.) across all years was 7.4, 7.0, and 7.5, for ages 18 - <26, 26 - <65 and 65 - 85, respectively and was relatively stable from 2004-2013. However, compared to individuals ages 18 - <26, those categorized as ages 26 - <65 were 55% more likely to be short sleepers while those ages 65 - 85 were 20% less likely to be short sleepers (P < .001 for all). Mean sleep duration was 7.2hrs, for NHW and 7.1hrs for AAs and Hispanics, and showed increasing trend toward short sleep beginning in 2007 through 2013 (P <.01 for trend). In the age 18 - <26 category, compared to whites, blacks and Hispanics were 35% and 29% more likely to be short sleepers, respectively. In the age 26 - <65 category, compared to whites, blacks and Hispanics were 35% and 21% more likely to be short sleepers, respectively. In the age 65 - 85 category, compared to whites, blacks were 19% more likely to be short sleepers (P < .001 for all). Conclusion Continued surveillance of population-level sleep trends among minority populations is essential as growing race/ethnic (age specific) disparities in self-reported sleep duration may have consequences for racial/ethnic health disparities. Support NIH/NIA/NHLBI (L30-AG064670, CIRAD P30AG059303 Pilot, T32HL129953, R01AG056531, R25HL105444, R25NS094093, K07AG05268503, R01HL142066, K23HL125939)

scholarly journals Are U.S. adults reporting less sleep?: Findings from sleep duration trends in the National Health Interview Survey, 2004–2017

SLEEP ◽  
2018 ◽  
Vol 42 (2) ◽  
Author(s):  
Connor M Sheehan ◽  
Stephen E Frochen ◽  
Katrina M Walsemann ◽  
Jennifer A Ailshire
Keyword(s):  
Logistic Regression ◽  
Sleep Duration ◽  
Ethnic Differences ◽  
National Health ◽  
National Health Interview Survey ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Interview Survey

AbstractStudy ObjectivesTo document trends in self-reported sleep duration for the noninstitutionalized U.S. civilian population from 2004 to 2017 and examine how sleep trends vary by race/ethnicity.MethodsWe use data from the National Health Interview Survey (NHIS) for U.S. noninstitutionalized adults aged 18–84 from 2004 to 2017 (N = 398 382). NHIS respondents were asked how much they slept in a 24-hour period on average, which we categorized as ≤6 hr (short sleep), 7–8 hr (adequate sleep), and ≥9 hr (long sleep). We used multinomial logistic regression models to examine trends in self-reported sleep duration and assess race/ethnic differences in these trends. Our models statistically adjusted for demographic, socioeconomic, familial, behavioral, and health covariates.ResultsThe prevalence of short sleep duration was relatively stable from 2004 to 2012. However, results from multinomial logistic regression models indicated that there was an increasing trend toward short sleep beginning in 2013 (b: 0.09, 95% CI: 0.05–0.14) that continued through 2017 (b: 0.18, 95% CI: 0.13–0.23). This trend was significantly more pronounced among Hispanics and non-Hispanic blacks, which resulted in widening racial/ethnic differences in reports of short sleep.ConclusionsRecent increases in reports of short sleep are concerning as short sleep has been linked with a number of adverse health outcomes in the population. Moreover, growing race/ethnic disparities in short sleep may have consequences for racial and ethnic health disparities.

scholarly journals Sleep duration and napping in relation to colorectal and gastric cancer in the MCC-Spain study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyriaki Papantoniou ◽  
Gemma Castaño-Vinyals ◽  
Ana Espinosa ◽  
Michelle C. Turner ◽  
Vicente Martín-Sánchez ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Sleep Duration ◽  
Night Shift ◽  
Work History ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Long Sleep ◽  
Adjusted Logistic Regression ◽  
Population Controls ◽  
Control Study

AbstractSleep duration is a novel and potentially modifiable risk factor for cancer. We evaluated the association of self-reported sleep duration and daytime napping with odds of colorectal and gastric cancer. We included 2008 incident colorectal cancer cases, 542 gastric cancer cases and 3622 frequency-matched population controls, recruited in the MCC-Spain case–control study (2008–2013). Sleep information, socio-demographic and lifestyle characteristics were obtained through personal interviews. Multivariable adjusted logistic regression models were used to estimate odds ratios (OR) with 95% confidence intervals (CI) for cancer, across categories of sleep duration (≤ 5, 6, 7, 8, ≥ 9 hours/day), daytime napping frequency (naps/week) and duration (minutes/nap). Compared to 7 hours of sleep, long sleep was associated with increased odds of colorectal (OR≥9 hours: 1.59; 95%CI 1.30–1.94) and gastric cancer (OR≥9 hours: 1.95; 1.37–2.76); short sleep was associated with increased odds of gastric cancer (OR≤5 hours: 1.32; 0.93–1.88). Frequent and long daytime naps increased the odds of colorectal (OR6–7 naps/week, ≥30 min: 1.32; 1.14–1.54) and gastric cancer (OR6–7 naps/week, ≥30 min: 1.56; 1.21–2.02). Effects of short sleep and frequent long naps were stronger among participants with night shift-work history. Sleep and circadian disruption may jointly play a role in the etiology of colorectal and gastric cancer.

Long and Short Sleep Duration and Physical Frailty in Community-Dwelling Older Adults

2018 ◽  
Vol 22 (9) ◽  
pp. 1066-1071 ◽  
Author(s):  
Sho Nakakubo ◽  
H. Makizako ◽  
T. Doi ◽  
K. Tsutsumimoto ◽  
R. Hotta ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Duration ◽  
Community Dwelling ◽  
Physical Frailty ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Community Dwelling Older Adults

scholarly journals Blacks’ Diminished Health Returns of Educational Attainment: Health and Retirement Study

2020 ◽  
Vol 4 (2) ◽  
pp. e000212
Author(s):  
Shervin Assari
Keyword(s):  
Older Adults ◽  
Educational Attainment ◽  
Black Americans ◽  
Education Level ◽  
Education Quality ◽  
White Americans ◽  
Highly Educated ◽  
Nationally Representative ◽  
Retirement Study ◽  
Hispanic White

Background: Education level reduces the risk of health problems such as poor self-rated health (SRH), high body mass index (BMI), and depressive symptoms (DS). Marginalization – related Diminished Returns (MDRs), however, refer to smaller health benefits of socioeconomic status (SES) indicators particularly educational attainment for the members of racial minority groups such as non-Hispanic Blacks compared to the majority group (non-Hispanic Whites). It is not known, however, if MDRs also hold for middle-age and older adults over a long period of time.  Aims: The current study used a nationally representative data set to explore racial variation in the predictive utility of baseline education level on protecting people against poor SRH, BMI, and DS.  Methods: Data for this analysis were borrowed from the Health and Retirement Study (HRS 1992-ongoing), a nationally representative longitudinal study that followed 10,023 middle-aged and older adults (50+ years old) for up to 26 years. From this number, 1877 (18.7%) were non-Hispanic Black Americans, and 8,146 (81.3%) were non-Hispanic White Americans. Education level was the independent variable. We used cluster analysis to categorize individuals to low and high-risk groups (outcome) based on SRH, BMI, and DS over 26 years. Age and gender were the covariates. Race was the moderator.  Results: Overall, high education level reduced the odds of poor SRH, BMI, and DS over the 26 years of follow up. Interactions were observed between race and education on all three health outcomes indicating smaller protective effects of baseline educational attainment on poor health over time, regardless of the outcome.  Conclusions: In line with the MDRs, highly educated non-Hispanic Black Americans remain at high risk for poor health across domains, a risk which is unexpected given their education. The risk of all health outcomes, however, is lowest for non-Hispanic White Americans with highest education. Policies that exclusively focus on equalizing racial gaps in SES (e.g., education) may fail to eliminate the racial and ethnic health inequalities because of the racial inequalities in the marginal health return of education. Public policies must equalize education quality and address structural and environmental barriers that are disproportionately more common in the lives of non-Hispanic Black Americans, even at high education levels. Future research should test how contextual factors, segregation, labor market practices, childhood poverty, and education quality reduces the health return of education for highly educated non-Hispanic Black Americans.

Self-reported and actigraphic short sleep duration in older adults

2021 ◽  
Author(s):  
Brienne Miner ◽  
Katie L. Stone ◽  
Jamie M. Zeitzer ◽  
Ling Han ◽  
Margaret Doyle ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep

Abstract P336: The Association Between Goal-Striving Stress, Sleep Duration and Sleep Quality in the Jackson Heart Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Loretta Cain ◽  
LáShauntá Glover ◽  
Dayna Johnson ◽  
Mario Sims
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Jackson Heart Study ◽  
Poor Sleep Quality ◽  
Short Sleep Duration ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Goal Striving ◽  
Heart Study

Introduction: Research shows that compared to non-Hispanic whites, African Americans (AAs) have poorer sleep quality, lower mean sleep duration, and a higher prevalence of sleep-disordered breathing. AAs also report more frequent exposures to certain stressors over the life course, which may impact physiological processes that may impair sleep. Goal-striving-stress (GSS), the discrepancy between aspiration and achievement, weighted by the subjective probability of success, and the level of disappointment experienced if goals are not reached, may be an important stressor among AA’s that may influence sleep; however this has yet to be explored. The objective of this study was to assess the relationship between GSS and sleep duration and sleep quality in AAs. Hypothesis: We assessed the hypothesis that high (versus low) GSS would be associated with short or long sleep duration and poor sleep quality. Methods: We utilized data from the baseline exam of the Jackson Heart Study (JHS; n=5306), an AA sample of women and men, 35-84 years old. There were a total of 5082 participants in the sample; 63.34% female with a mean age of 55.30 (± 12.75) and mean sleep duration of 6.43 hours (±1.51). The sample was categorized into GSS tertiles: low (n=2121), moderate (n=1716), high (n=1296). Participants self-reported sleep duration (hours) and rated their sleep quality. Sleep duration was categorized as short ( < 6 hours), normal (7 or 8 hours) and long ( > 9 hours). Sleep quality was categorized as high (good/very good/excellent) and low (fair/poor). Logistic regression models were used to obtain odds ratios (OR, 95% confidence interval-CI) to assess the associations of GSS levels with sleep duration and sleep quality categories. Models were adjusted for sex, age, socioeconomic status, health behaviors, discrimination, and health outcomes. Results: Significant results showed that participants who reported high (versus low) GSS had a 29% increased odds [1.29 (1.10, 1.52)] of short (versus normal) sleep after full adjustment. Participants who reported high (versus low) GSS had a 42% increased odds [1.42 (1.20, 1.67)] of low (versus high) sleep quality after full adjustment. Conclusion In conclusion, the deficit between goal aspiration and achievement is associated with short sleep duration and poor sleep quality. Potential interventions should consider the extent to which GSS may contribute to the development of short sleep duration and poor sleep quality.

scholarly journals 1152 Genetic Risk Of Alzheimer’S Disease Is Linked To Short Sleep Duration

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A439-A439
Author(s):  
Y Leng ◽  
K Yaffe ◽  
S Ackley ◽  
M Glymour ◽  
W Brenowitz
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Sleep Duration ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Genetic Ancestry ◽  
European Ancestry ◽  
Short Sleep Duration ◽  
Short Sleep

Abstract Introduction Sleep disturbances including short sleep duration are common in older adults, especially in those with Alzheimer’s disease (AD). However, it is unclear to what extent sleep duration is a manifestation of AD disease process. We examined whether genetic variants related to AD influence sleep duration in middle-aged and older adults and estimated the causal effects of AD on sleep duration using a mendelian randomization (MR) analysis. Methods We examined 406,687 UK Biobank participants with Caucasian genetic ancestry who self-reported sleep duration at baseline (2006-2010). Sleep duration was assessed by asking: “About how many hours sleep do you get in every 24 hours? (please include naps).” A genetic risk score for AD (AD-GRS) was calculated as a weighted sum of 23 previously identified AD-related single nucleotide polymorphisms in individuals of European ancestry. We evaluated whether AD-GRS predicted sleep duration using linear regression, adjusting for age, sex and principle components for genetic ancestry. We also stratified the analysis by age at baseline (≤55y or &gt;55y) and conducted a MR analysis to estimate the effect of AD (ICD-9/10 codes for AD/dementia diagnosis) on sleep duration. Results The participants (aged 56.91±8.00y) had an average sleep duration of 7.2 (Standard deviation [SD]=1.1) hours and AD-GRS of 0.11 (SD=0.40) (range: -1.15~1.85). Higher AD-GRS score predicted shorter sleep duration (b= -0.013, 95%CI:-0.022,-0.005), mainly among those aged over 55y (b= -0.023, 95%CI:-0.034,-0.012) and not in those 55y or younger (b= 0.006, 95%CI:-0.012,0.013); p for interaction by age=0.02. MR analysis using AD-GRS as an instrumental variable suggested that AD was associated with 1.76 hrs (b=-1.76, -2.62~ -0.90) shorter sleep duration in those aged &gt;55y. Conclusion Using a novel analytical approach, we found that higher genetic risk for AD predicted shorter sleep duration among older adults. This suggests shared genetic pathways; the biologic processes that lead to AD may also affect sleep duration. Support Dr. Leng received support from the National Institute on Aging (NIA) 1K99AG056598, and from GBHI, Alzheimer’s Association, and Alzheimer’s Society (GBHI ALZ UK-19-591141).

scholarly journals Factors associated with sleep duration across life stages: results from the Canadian Health Measures Survey

2018 ◽  
Vol 38 (11) ◽  
pp. 404-418 ◽  
Author(s):  
Vicky C. Chang ◽  
Jean-Philippe Chaput ◽  
Karen C. Roberts ◽  
Gayatri Jayaraman ◽  
Minh T. Do
Keyword(s):  
Older Adults ◽  
Sleep Duration ◽  
Life Stages ◽  
Short Sleep ◽  
Factors Associated ◽  
Health Measures ◽  
Wide Range ◽  
Long Sleep ◽  
Canadian Health ◽  
Canadian Health Measures Survey

Introduction Sleep is essential for both physical and mental well-being. This study investigated sociodemographic, lifestyle/behavioural, environmental, psychosocial and health factors associated with sleep duration among Canadians at different life stages. Methods We analyzed nationally representative data from 12 174 Canadians aged 3–79 years in the Canadian Health Measures Survey (2009–2013). Respondents were grouped into five life stages by age in years: preschoolers (3–4), children (5–13), youth (14–17), adults (18–64) and older adults (65–79). Sleep duration was classified into three categories (recommended, short and long) according to established guidelines. Logistic regression models were used to identify life stage–specific correlates of short and long sleep. Results The proportion of Canadians getting the recommended amount of sleep decreased with age, from 81% of preschoolers to 53% of older adults. Statistically significant factors associated with short sleep included being non-White and having low household income among preschoolers; being non-White and living in a lone-parent household among children; and second-hand smoke exposure among youth. Boys with a learning disability or an attention-deficit/hyperactivity disorder and sedentary male youth had significantly higher odds of short sleep. Among adults and older adults, both chronic stress and arthritis were associated with short sleep. Conversely, mood disorder and poor/fair self-perceived general health in adults and weak sense of community belonging in adults and older men were associated with long sleep. Conclusion Our population-based study identified a wide range of factors associated with short and long sleep at different life stages. This may have implications for interventions aimed at promoting healthy sleep duration.

scholarly journals Sleep Duration in Relation to Cognitive Function among Older Adults: A Systematic Review of Observational Studies

2016 ◽  
Vol 46 (1) ◽  
pp. 57-78 ◽  
Author(s):  
Elizabeth E. Devore ◽  
Francine Grodstein ◽  
Eva S. Schernhammer
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Cognitive Function ◽  
Sleep Duration ◽  
Observational Studies ◽  
English Language ◽  
Data Extraction ◽  
Meta Analysis ◽  
Short Sleep ◽  
Sleep Parameters

Context: Increasing evidence suggests that circadian and sleep parameters influence cognitive function with aging. Objective: To evaluate observational studies of sleep duration and cognition in older adults. Data Sources: A systematic review of OVID Medline and PsycINFO through September 2015, and review of bibliographies from studies identified. Study Selection: English-language articles reporting observational studies of sleep duration and cognitive function in older populations. Data Extraction: Data extraction by 2 authors using predefined categories of desired information. Results: Thirty-two studies met our inclusion criteria, with nearly two-thirds published in the past 4 years. One-third of studies indicated that extreme sleep durations were associated with worse cognition in older adults. More studies favored an association with long vs. short sleep durations (35 vs. 26% of studies, respectively). Four studies found that greater changes in sleep duration over time were related to lower cognition. Study design and analytic methods were very heterogeneous across studies; therefore, meta-analysis was not undertaken. Limitations: We reviewed English-language manuscripts only, with a qualitative summary of studies identified. Conclusions and Implications of Key Findings: Observational studies of sleep duration and cognitive function in older adults have produced mixed results, with more studies suggesting that long (rather than short) sleep durations are related to worse cognition. Studies more consistently indicate that greater changes in sleep duration are associated with poor cognition. Future studies should be prospectively designed, with objective sleep assessment and longer follow-up periods; intervention studies are also needed to identify strategies for promoting cognitive health with aging.

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