318 Area Deprivation and Sleep Health among White, Black, and Hispanic/Latina Women

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A127-A128
Author(s):  
Symielle Gaston ◽  
Kaitlyn Lawrence ◽  
Dale Sandler ◽  
Chandra Jackson
Keyword(s):  
White Women ◽  
Deprivation Level ◽  
Area Deprivation ◽  
Poor Sleep ◽  
Latina Women ◽  
Sleep Health ◽  
Neighborhood Deprivation ◽  
Sleep Debt ◽  
Race Ethnicity ◽  
Insomnia Symptoms

Abstract Introduction Although neighborhood environments have been shown to affect sleep health, few studies have directly measured multiple indicators of both neighborhood deprivation and sleep while considering modification by race/ethnicity. Methods Among 49,833 eligible U.S. women enrolled in the Sister Study from 2003 to 2009, we investigated associations between neighborhood deprivation (e.g., percentage of residents unemployed, household crowding) and multiple sleep dimensions. Participants’ addresses were linked to U.S. census block group level Area Deprivation Index rankings (range: 1–100) for the year 2000, and participant rankings were divided into quintiles where the highest quintile represented the highest deprivation level. Participants self-reported habitual sleep duration, sleep debt, frequent napping, and insomnia symptoms. Adjusting for sociodemographic and clinical characteristics, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for sleep dimensions among participants within quintiles (Qs) 2–5 vs. Q1. Interaction terms were used to assess modification by race/ethnicity. Results Mean age ± standard deviation was 55 ± 9 years. Women with higher neighborhood deprivation were more likely to self-identify as a racial/ethnic minority and had higher unadjusted prevalence of poor sleep dimensions. After adjustment, higher ADI was positively associated with very short sleep (≤5 hours), and race/ethnicity was a modifier (e.g., race-stratified results for Q5 vs. Q1:PRWhite=1.31 [95% CI: 1.14–1.51], PRBlack=0.91 [0.71–1.18], PRHispanic/Latina= 1.17 [0.68–2.04], p-interaction <0.05). Although race/ethnicity did not modify remaining associations, women with higher neighborhood deprivation also had a higher prevalence of sleep debt, frequent napping, and insomnia symptoms. When compared to White women with the lowest neighborhood deprivation, Black women across all deprivation levels and Hispanic/Latina women in Q2-Q5 were substantially more likely to report each poor sleep dimension (PR range: 1.21 to 5.01). Conclusion A multidimensional measure of neighborhood deprivation was associated with poor sleep and sleep disparities among a diverse cohort of U.S. women. Support (if any):

scholarly journals 0366 Sleep Health Dimensions, Disturbances, and Disruptors Among White, Black, Hispanic/ Latina, and Asian Women

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A140-A140
Author(s):  
C L Jackson ◽  
S A Gaston ◽  
J McGrath ◽  
D P Sandler
Keyword(s):  
Ethnic Groups ◽  
Ethnic Minorities ◽  
White Women ◽  
Light Exposure ◽  
Poor Sleep ◽  
Sleep Health ◽  
Short Sleep ◽  
Sleep Debt ◽  
Racial Ethnic ◽  
Insomnia Symptoms

Abstract Introduction Despite the importance of sleep for health promotion and disease prevention, data are limited regarding the distribution of multiple sleep health dimensions, disturbances, and disruptors among women, especially racial/ethnic minorities who disproportionately experience poor sleep. Methods To determine the prevalence of sleep health, disturbances, and disruptors (e.g., short sleep duration, sleep debt, insomnia symptoms, light exposure at night) overall and among Black, Hispanic/Latina, and Asian compared to White women, we used cross-sectional data collected by the Sister Study at enrollment (2003-2009) and two follow-ups (2012-2014, 2014-2016). Adjusting for sociodemographics, health behaviors, and health conditions including depression, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) for unfavorable sleep among racial/ethnic minority compared to White women. Results Of the 49,874 eligible women (mean age ± standard deviation: 55.7 ± 9.0 years, 84.8% ≥high school education, 74.7% married) 85.3% were White, 9.0% Black, 5.1% Hispanic/Latina, and 0.7% Asian. Overall, 70% reported the recommended amount of sleep, 15.7% inconsistent weekly sleep patterns, 26% sleep debt, and 14% insomnia symptoms plus short sleep. Racial/ethnic minorities were much more likely than whites to report very short (≤5 hours) sleep (PRBlack)=5.98[95% Confidence Interval: 4.67-7.66]; PRLatina=2.83[1.98-4.04]; PRAsian=5.41[2.41-12.13] and to report needing <7 hours to feel their best (PRBlack=2.95[2.75-3.17]; PRLatina=1.85[1.65-2.07]; PRAsian=2.66[2.10-3.37]). Black and Hispanic/Latina women had a higher prevalence than whites of insomnia, short sleep plus insomnia, inconsistent sleep, sleep debt, and frequent napping; however, all racial/ethnic minorities were less likely to report daytime sleepiness (PRBlack=0.82[0.78-0.85]; PRLatina=0.94[0.89-0.98]; PRAsian=0.79[0.69-0.92]) and restless leg syndrome. Witnessed sleep apnea was higher among Black women, and REM sleep disorder did not differ across racial/ethnic groups. Sleeping with room lights or a television on was more prevalent among racial/ethnic minorities (PRBlack=1.78[1.71-1.86]; PRLatina=1.27[1.17-1.37]; PRAsian=1.62[1.32-1.99]). Conclusion Poor sleep health, disturbances, and disruptors were prevalent among women and varied across racial/ethnic groups in ways that may contribute to health disparities. Support This work was funded by the Intramural Program at the National Institutes of Health, National Institute of Environmental Health Sciences (Z1A ES103325-01 to (CLJ) and Z01 ES044005 to (DPS)).

Sleep Problems, Cumulative Risks, and Psychological Functioning in Early Childhood

2021 ◽  
Author(s):  
Ariel A Williamson ◽  
Mattina Davenport ◽  
Olivia Cicalese ◽  
Jodi A Mindell
Keyword(s):  
Executive Functioning ◽  
Health Behaviors ◽  
Psychological Functioning ◽  
Sleep Problems ◽  
Cumulative Risk ◽  
Risk Exposure ◽  
Poor Sleep ◽  
Sleep Health ◽  
Cumulative Risks ◽  
Insomnia Symptoms

Abstract Background Sleep problems and cumulative risk factors (e.g., caregiver depression, socioeconomic disadvantage) have independently been linked to adverse child development, but few studies have examined the interplay of these factors. We examined whether cumulative risk exposure moderated the link between sleep problems, including insomnia and poor sleep health, and child psychological outcomes. Methods 205 caregiver-child dyads (child Mage = 3.3 years; 53.7% girls; 62.9% Black, 22.4% non-Latinx White, and 4.4% Latinx; 85.4% maternal caregiver reporter) completed child sleep, family sociodemographic, and child psychological functioning (internalizing, externalizing, and executive functioning) questionnaires. Indexes of cumulative risk exposure, insomnia symptoms, and poor sleep health were created. Results Ninety percent of children had ≥1 cumulative risks, 62.9% had ≥1 insomnia symptom, and 84.5% had ≥1 poor sleep health behavior. Increased insomnia symptoms were significantly associated with increased child internalizing, externalizing, and global executive functioning impairments controlling for child age, race/ethnicity, and sex. Poor sleep health behaviors were associated with internalizing concerns. Cumulative risk exposure was not associated with outcomes but moderated the association between insomnia symptoms and all psychological outcomes, such that children with higher cumulative risk exposure and insomnia symptoms had the greatest impairments. Children with the poorest sleep health behaviors and highest cumulative risks had the greatest internalizing concerns. Conclusions Insomnia symptoms in particular are associated with poor child outcomes, which are exacerbated when accompanied by greater cumulative risk exposure. Clinicians should assess sleep when treating early psychological concerns, especially within the context of increased cumulative risks.

scholarly journals Association between neighbourhood deprivation and hypertension in a US-wide Cohort

2021 ◽  
pp. jech-2021-216445
Author(s):  
Jing Xu ◽  
Kaitlyn G Lawrence ◽  
Katie M O'Brien ◽  
Chandra L Jackson ◽  
Dale P Sandler
Keyword(s):  
Household Income ◽  
White Women ◽  
Contrast Ratio ◽  
Area Deprivation ◽  
Study Cohort ◽  
Annual Household Income ◽  
Neighbourhood Deprivation ◽  
Individual Level ◽  
Hypertension Risk ◽  
Race Ethnicity

BackgroundSocioeconomic status (SES) at the individual level is associated with hypertension risk. Less is known about neighbourhood level SES or how neighbourhood and individual level SES may jointly affect hypertension risk.MethodsThe Area Deprivation Index (ADI) includes 17 census-based measures reflecting neighbourhood SES. The ADI was linked to enrolment addresses of 47 329 women in the Sister Study cohort and categorised as ≤10% (low deprivation), 11%–20%, 21%–35%, 36%–55% and >55% (high deprivation). Hypertension was defined as either high systolic (≥140 mm Hg) or diastolic (≥90 mm Hg) blood pressure or taking antihypertensive medication. We used log binomial regression to investigate the cross-sectional association between ADI and hypertension and evaluated interactions between ADI and race/ethnicity and between ADI and individual SES.ResultsThe highest ADI level of >55% was associated with increased prevalence of hypertension, compared with the lowest level of ADI≤10%, in a model adjusted for age, race/ethnicity, educational attainment and annual household income (prevalence ratio=1.26, 95% CI 1.21 to 1.32). We observed interaction between race/ethnicity and ADI (interaction contrast ratio (ICR)=1.9; 95% CI 0.94 to 2.8 comparing non-Hispanic Black women with ADI >55% to non-Hispanic White women with ADI≤10%) and between household income and ADI (ICR 0.38; 95% CI 0.12 to 0.65 comparing participants with household income ≤US$49 999 and ADI>55% to those with household income >US$100 000 and ADI≤10%).ConclusionsThese findings suggest that neighbourhood deprivation measured by ADI may be a risk factor for hypertension and that ADI may act synergistically with race/ethnicity and individual household income to contribute to hypertension.

scholarly journals 1016 Multiple Sleep Disturbances and Hypertension Risk Among White, Black, and Hispanic/Latina Women

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A386-A386
Author(s):  
J Lunyera ◽  
Y M Park ◽  
J B Ward ◽  
S A Gaston ◽  
N A Bhavsar ◽  
...  
Keyword(s):  
Sleep Disturbances ◽  
Menopausal Status ◽  
Ethnic Disparities ◽  
The United States ◽  
Poor Sleep ◽  
Hypertension Risk ◽  
Increased Risk ◽  
Race Ethnicity ◽  
Insomnia Symptoms

Abstract Introduction Poor sleep has been associated with a higher risk of hypertension, but few prospective studies have included multiple sleep dimensions and few have investigated age differences or racial/ethnic disparities in this relationship among pre- and post-menopausal women. Methods To investigate the association between sleep disturbances and hypertension risk, we used data from women in the United States enrolled in the Sister Study who were aged 35 to 74 years at baseline (2003 to 2009) and did not have hypertension at enrollment. Participants were followed through September 2017. Sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping, and insomnia symptoms were reported at baseline. During follow-up, participants reported whether they were diagnosed by a healthcare provider with hypertension. Adjusting for sociodemographic characteristics, health behaviors, and health conditions including diabetes and depression, we used Cox Proportional Hazards regression to estimate hypertension risk among women with vs. without unfavorable sleep characteristics. We also investigated potential modification by race/ethnicity, age,and menopausal status. Results Of 33,175 women without hypertension at baseline (mean age ± standard deviation: 53.9 ±8.8 years; 88.8% White, 6.4% Black, and 4.9% Hispanic/Latina), 19.9% developed hypertension over a median follow-up of 9.2 years (interquartile range: 7.6 to 10.9). After adjustment, insomnia symptoms (hazard ratio[HR]=1.08 (95% Confidence Interval [CI]: 1.03-1.15)) and insomnia symptoms combined with short sleep (HR=1.14 (95% CI: 1.06-1.23)) were associated with incident hypertension. While similar across race/ethnicity, these associations were stronger in younger (age <54 vs. ≥54 years) and premenopausal vs. postmenopausal women (p-values for interaction <0.05). Conclusion Sleep disturbances related to insomnia were associated with an increased risk of hypertension, especially among younger and premenopausal women. Support This work was funded by the Intramural Program at the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS, Z1AES103325-01 [CLJ] and Z01 ES044005 [DPS]).

scholarly journals Cumulative socio-demographic risk factors and sleep outcomes in early childhood

SLEEP ◽  
2019 ◽  
Vol 43 (3) ◽  
Author(s):  
Ariel A Williamson ◽  
Jodi A Mindell
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Cumulative Risk ◽  
Poor Sleep ◽  
Health Habits ◽  
Sleep Health ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Insomnia Symptoms ◽  
Lower Educational Attainment

Abstract Study Objectives To examine associations between cumulative socio-demographic risk factors, sleep health habits, and sleep disorder symptoms in young children. Methods Two hundred five caregiver-child dyads (child mean age ± SD: 3.3 ± 1.1 years; 53.7% girls; 62.9% black, 22.4% non-Hispanic/Latinx white, 4.4% Hispanic/Latinx; 85.4% maternal caregiver reporter) completed caregiver-rated sleep measures (Brief Child Sleep Questionnaire [BCSQ]; Pediatric Sleep Questionnaire [PSQ] snoring subscale), which were used to generate indexes of poor sleep health habits, pediatric insomnia symptoms, and obstructive sleep apnea (OSA) symptoms. A cumulative risk index was created reflecting caregiver, family, and neighborhood risks. Results Overall, 84.5% of children had ≥ 1 poor sleep health habit, 62.9% had ≥ 1 insomnia symptom, and 40.0% had ≥ 1 OSA symptom. Poisson regression indicated that each increase in the number of cumulative risk factors was associated with a 10% increase in poor sleep health habits, a 9% increase in insomnia symptoms, and an 18% increase in OSA symptoms. Specific caregiver risks (depressive symptoms, lower educational attainment) and family risks (single caregiver, crowded home) were most predictive of poor sleep outcomes. Conclusions Poor sleep health habits and sleep disorder symptoms are highly prevalent in early childhood, particularly among families experiencing cumulative socio-demographic risks. Findings underscore the need for targeted screening and prevention for modifiable sleep behaviors and efforts to tailor such strategies for at-risk children and families, especially those living in crowded conditions, or with caregivers who are single or have a lower educational attainment or depressive symptoms.

scholarly journals PERSONALITY AND SELF-REPORTED AND ACTIGRAPHY-MEASURED SLEEP HEALTH IN ADULTHOOD

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S779-S779
Author(s):  
Nasreen A Sadeq ◽  
Nasreen A Sadeq ◽  
Soomi Lee ◽  
Alyssa Gamaldo ◽  
David M Almeida
Keyword(s):  
Personality Traits ◽  
Sleep Duration ◽  
Sleep Latency ◽  
Sleep Onset ◽  
The United States ◽  
Poor Sleep ◽  
Big Five Personality ◽  
Sleep Health ◽  
Linear Regressions ◽  
Insomnia Symptoms

Abstract Personality may be associated with sleep health, however, the majority of existing studies rely on self-reported measures of sleep (often focusing on sleep duration). The purpose of this study is to examine the associations between Big Five personality traits and self-reported and actigraphy measured sleep. This study included 3928 participants and a subsample of 441 participants from the Midlife in the United States study. Linear regressions were used to analyze the relationships between personality traits and sleep. Neuroticism was associated with more frequent actigraphy-measured waking after sleep onset, and several self-reported measures of sleep quality, including shorter sleep duration, longer sleep latency, and a greater number of insomnia symptoms. Agreeableness was associated with shorter actigraphy-measured sleep duration and more self-reported insomnia symptoms. Our findings support an association between Neuroticism and poor sleep, and suggest that Agreeableness may be associated with worse sleep health.

170 Hispanic Ethnicity May Be Associated with Short Sleep Duration and Elevated Sleep Distress in U.S. Air Force Trainees

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A69-A69
Author(s):  
Rosemary Estevez Burns ◽  
Xin Qun Wang ◽  
Marc Patience ◽  
Jordan Ellis ◽  
Wayne Talcott ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Air Force ◽  
Technical Training ◽  
Sleep Pattern ◽  
Poor Sleep ◽  
Short Sleep Duration ◽  
Sleep Health ◽  
Short Sleep ◽  
Race Ethnicity ◽  
Processing Group

Abstract Introduction Sleep research among Hispanic populations is limited. Hispanics may be at higher risk of poor sleep when compared to other race/ethnicities. Non-white and other socioeconomically disadvantaged populations have higher rates of chronic health conditions. Epidemiological studies have substantiated the correlation between short sleep and a variety of negative health outcomes. Sleep is foundational to overall good health and functioning, impacting academic and physical performance in technical training, and crucial for an airmen’s adjustment to the rigor of a military career. Authors explored the role of race/ethnicity on perceived sleep health (e.g., sleep duration and sleep distress) among airmen attending technical school. Methods Sleep health survey was administered to two groups of Airmen at an Air Force technical training: In-processing: Airmen who just arrived to begin technical training, (n=187), Age: M= 20.83 (SD 3.26), 82.55% Male; upon completion of training, i.e., Out-processing: Airmen about to complete technical training, (n=302), Age M = 20.7 (SD 3.09), 85.81% Male. To account for correlations between Airmen from the same squadron, a covariates-adjusted generalized mixed-effects model was used. Associations between race/ethnicity and short sleep duration (≤6 hours), and between race/ethnicity and sleep pattern distress—among shorter sleepers as a sub-group—were examined. Racial/Ethnic frequency among short sleepers (n=135): 19.3 % Hispanic, 13.3% NH-Black, 55.6% NH-White, 6.6% NH-Multiracial, and 5.2% NH-Other. Results Among Hispanic Airmen, the out-processing group was 2.25 times as likely as the in-processing group to be short sleepers on weekdays (95% CI: 1.15 to 4.38, p=0.017). Among short sleepers in the out-processing group, Hispanic Airmen were significantly more worried/distressed about their sleep pattern than Black and White Airmen (OR=2.29, 95% CI: 1.18 to 4.42, p=0.014 and OR=2.29, 95% CI: 1.10 to 4.76, p=0.026, respectively). Conclusion Short sleep duration is a significant problem in the military and results suggest that race/ethnicity-related contextual factors may point to at risk subgroups. Others have considered the influence of perceived prejudice, access to social capital, cultural barriers to academic success, and potential sensitivity to somatic discomfort on sleep complaints. Future directions involve repeating this assessment with another cohort of technical training Airmen to see if findings replicate. Support (if any) none

scholarly journals Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Mitch J. Duncan ◽  
Anna T. Rayward ◽  
Elizabeth G. Holliday ◽  
Wendy J. Brown ◽  
Corneel Vandelanotte ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Trial Registration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Intervention Effects ◽  
Symptoms Of Depression ◽  
Randomised Controlled

Abstract Background To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18–65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40–65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet “app” using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; − 0.60,-0.11), anxiety (− 0.11; − 0.27,-0.01), stress (− 0.37; − 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016–0181.

scholarly journals Poor Sleep Health and Next Day Work Impairment: The Mediating Role of Fatigue

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 428-429
Author(s):  
Breann LaRocque ◽  
Christina Mu ◽  
Soomi Lee
Keyword(s):  
Sleep Quality ◽  
Work Performance ◽  
Multilevel Models ◽  
Poor Sleep ◽  
Sleep Health ◽  
Work Impairment ◽  
Mediating Role ◽  
Life Threatening ◽  
Healthcare Professions ◽  
Ecological Momentary

Abstract Nightly sleep impacts next-day alertness and cognitive functioning. For healthcare professions, work impairment can be life-threatening for patients. Thus, understanding how sleep affects work quality is imperative to promoting medical safety and overall health of workers. The current study investigated whether nightly sleep health is associated with next-day work impairment in nurses and whether this association is mediated by daily fatigue. Sixty nurses reported their sleep characteristics, fatigue, and work impairment using ecological momentary assessment for two weeks. We used a series of multilevel models (a path: sleep→fatigue, b path: fatigue→work impairment, c path: sleep→work impairment, c′ path: sleep and fatigue→work impairment), adjusting for sociodemographics and work shift. At the between-person level, poorer sleep quality was associated with greater work impairment (βc=-23.36, p&lt;.001). This association was mediated by fatigue such that poorer sleep quality was associated with greater fatigue (βa=-19.54, p&lt;.01), which was further associated with greater work impairment (βb=0.79, p&lt;.001). After including fatigue, the association of sleep quality with work impairment was reduced (βc′ =-7.07, p=.08). Similarly, fatigue mediated the relationship between sleep sufficiency and work impairment (βa=-16.49; βb=0.79; βc=-19.36; p&lt;.001; βc′ =-6.32, p=.05). At the within-person level, on days after long sleep duration (&gt;8hrs), nurses reported greater work impairment (βc=10.08, p&lt;.01), however, this was not mediated by fatigue. Our results suggest that poor sleep health may impair next-day work performance, mostly through increased fatigue. Future interventions for nurses can target daily fatigue to reduce the adverse effects of poor sleep on work impairment.

534 Food Insecurity and Sleep Health by Race/Ethnicity and Age Group in the United States

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A211-A211
Author(s):  
Nyree Riley ◽  
Dana Alhasan ◽  
W Braxton Jackson ◽  
Chandra Jackson
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
The United States ◽  
Poor Sleep ◽  
High Food ◽  
Short Sleep Duration ◽  
Sleep Health ◽  
Falling Asleep

Abstract Introduction Food insecurity may influence sleep through poor mental health (e.g., depression) and immune system suppression. Although prior studies have found food insecurity to be associated with poor sleep, few studies have investigated the food security-sleep association among racially/ethnically diverse participants and with multiple sleep dimensions. Methods Using National Health Interview Survey data, we examined overall, age-, sex/gender-, and racial/ethnic-specific associations between food insecurity and sleep health. Food security was categorized as very low, low, marginal, and high. Sleep duration was categorized as very short (&lt;6 hours), short (&lt;7 hours), recommended (7–9 hours), and long (≥9 hours). Sleep disturbances included trouble falling and staying asleep, insomnia symptoms, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (95% CI) for sleep dimensions by very low, low, and marginal vs. high food security. Results The 177,435 participants’ mean age was 47.2±0.1 years, 52.0% were women, 68.4% were Non-Hispanic (NH)-White. Among individuals reporting very low food security, 75.4% had an annual income of &lt;$35,000 and 60.3% were ≥50 years old. After adjustment, very low vs. high food security was associated with a higher prevalence of very short (PR=2.61 [95%CI: 2.44–2.80]) and short (PR=1.66 [95% CI: 1.60–1.72]) sleep duration. Very low vs. high food security was associated with both trouble falling asleep (PR=2.21 [95% CI: 2.12–2.30]) and trouble staying asleep (PR=1.98 [95% CI: 1.91–2.06]). Very low vs. high food security was associated with higher prevalence of very short sleep duration among Asians (PR=3.64 [95% CI: 2.67–4.97]), Whites (PR=2.73 [95% CI: 2.50–2.99]), Blacks (PR=2.03 [95% CI: 1.80–2.31]), and Hispanic/Latinxs (PR=2.65 [95% CI: 2.30–3.07]). Conclusion Food insecurity was associated with poor sleep in a diverse sample of the US population. Support (if any):

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