Racial Discrimination and Ethnic Disparities in Sleep Disturbance: the 2002/03 New Zealand Health Survey

Racial Discrimination and Metabolic Syndrome in Young Black Adults

Importance

Metabolic syndrome (MetS) is a common health condition that predisposes individuals to cardiovascular disease (CVD) and disproportionately affects Black and other racially and ethnically minoritized people. Concurrently, Black individuals also report more exposure to racial discrimination compared with White individuals; however, the role of discrimination in the development of MetS over time and associated mediators in these pathways remain underexplored.

Objective

To evaluate the association between racial discrimination and MetS in rural Black individuals transitioning from late adolescence into early adulthood and to identify potential mediating pathways.

Design, Setting, and Participants

This longitudinal cohort study included Black adolescents enrolled in the Strong African American Families Healthy Adults (SHAPE) Project between June 2009 and May 2021. Families resided in rural counties of Georgia, where poverty rates are among the highest in the nation. Analyses included 322 of the 500 participants who originally enrolled in SHAPE and who were eligible to participate. Guardians provided information about socioeconomic disadvantage. Analyses were conducted in April 2023.

Exposures

Youths reported exposure to racial discrimination annually from ages 19 to 21 years.

Main Outcomes and Measures

MetS was the main health outcome and was measured at ages 25 and 31 years. MetS was diagnosed according to the International Diabetes Federation guidelines, which requires central adiposity (ie, waist circumference ≥94 cm for males and ≥80 cm for females) and at least 2 of the 4 additional components: signs of early hypertension (ie, systolic blood pressure ≥130 mm Hg or diastolic blood pressure ≥85 mm Hg); elevated triglyceride levels (ie, >150 mg/dL); elevated fasting glucose level (ie, ≥100 mg/dL); or lowered high-density lipoprotein levels (ie, <40 mg/dL in men and <50 mg/dL in women). At age 25 years, markers of inflammatory activity (ie, soluble urokinase plasminogen activator receptor [suPAR]) and sleep problems were collected to consider as potential mediators.

Results

In 322 participants (210 [65.2%] female) ages 19 to 21 years, more frequent exposure to racial discrimination was associated with higher suPAR levels (b = 0.006; 95% CI, 0.001-0.011; P = .01) and more sleep problems at age 25 years (b = 0.062; 95% CI, 0.028-0.097; P < .001) as well as a 9.5% higher risk of MetS diagnosis at age 31 years (odds ratio [OR], 1.10; 95% CI, 1.01-1.20; P = .03). Both suPAR (b = 0.015; 95% CI, 0.002-0.037) and sleep problems (b = 0.020; 95% CI, 0.002-0.047) at age 25 years were significant indirect pathways. No significant interactions between sex and discrimination emerged.

Conclusions and Relevance

This study suggests that racial discrimination in late adolescence is associated with MetS among Black young adults through biobehavioral pathways. Thus, health interventions for MetS in Black adults will need to contend with sleep behaviors and inflammatory intermediaries as well as address and reduce exposure to racial discrimination to narrow disparities and promote health equity.

The pull into wakefulness: How sociocultural categories intersect to shape sleep opportunity and sleep ability in Israel

OBJECTIVES

Prior studies have documented the existence of sleep disparities between social groups and have proposed possible reasons for these gaps. To extend these empirical findings, the current study elucidates whether and how intersections between sociocultural identities shape the lived experience and management of sleep and sheds light on the social factors that explain within-group heterogeneity.

METHODS

This article draws on semi-structured interviews with 66 employed Israelis, aged 40-60, conducted between February 2020 and February 2022. Participants were selected using a non-probability purposeful sampling design that sought to include individuals with a wide range of sociodemographic backgrounds in terms of gender, ethnonationality, socioeconomic status, religion, and religiosity as well as the quality of sleep.

RESULTS

The analysis shows that intersections of gender, socioeconomic status, ethnonationality, religion, and religiosity prompt qualitatively different understandings, experiences, and management of sleep, in a way that affects both sleep opportunity and sleep ability.

CONCLUSIONS

This study contributes to the scholarly understanding of the social determinants of sleep by highlighting the significance of the intersections of sociocultural identities for sleep health and implementing a nuanced socioecological approach to understanding within-group variability. The results call for the design of tailored interventions that consider the sociocultural context.

Characteristics of Atypical Sleep Durations Among Older Compared to Younger Adults: Evidence from the New Zealand Health Survey

BACKGROUND

Understanding and supporting sleep is important across the life span. Disparities in sleep status are well documented in mid-life but under-explored among older populations.

METHODS

Data from 40,659 adults pooled from the New Zealand Health Surveys were used; 24.2% were "older adults" (aged ≥65 years), 57% were female, and 20.5% of Māori ethnicity. "Long," "short," or "typical" sleep categories were based on age-related National Sleep Foundation guidelines. Multinomial logistic regression examined predictors of atypical sleep, including sociodemographic characteristics, lifestyle factors, and health status.

RESULTS

Prevalence of short and long sleep among older adults was 296 (3.0%) and 723 (7.4%), respectively. Correspondingly, prevalence among younger adults was 2 521 (8.2%) and 364 (1.2%). Atypical sleep was more significantly associated with indicators of reduced socioeconomic status and ethnicity among younger rather than older adults. Within both age groups, lower physical activity was associated with long sleep status. Higher physical activity and smoking were related to short sleep status among younger adults only. Within both age groups, atypical sleep was associated with SF-12 scores indicating poorer physical and mental health. Having ≥3 health conditions was related to short sleep among the older adults, while for young adults, it was related to both atypical durations.

CONCLUSIONS

Indicators of negative lifestyle and health factors remain consistent predictors of atypical sleep with aging. However, demographic disparities are less apparent among older atypical sleepers. This study highlights individual and contextual factors associated with atypical sleep patterns which may be important for age-appropriate recognition and management of sleep problems.

Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research

STUDY OBJECTIVES

This review aims to assess the association between socioeconomic status (SES) and sleep health in the general population and the mediating effects of lifestyle and mental and physical health in this relationship.

METHODS

Observational studies testing the independent association between objective or subjective SES indicators and behavioral/physiological or clinical sleep health variables in the general population were included. PubMed/MEDLINE was searched for reports published from January 1990 to December 2019. The direction of effect was used as the primary effect measure, testing the hypothesis that low SES is associated with poor sleep health outcomes. Results are presented in the form of direction effect plots and synthesized as binomial proportions.

RESULTS

Overall, 336 studies were identified. A high proportion of effects at the expected direction was noted for measures of sleep continuity (100% for sleep latency, 50-100% for awakenings, 66.7-100% for sleep efficiency), symptoms of disturbed sleep (75-94.1% for insomnia, 66.7-100% for sleep-disordered breathing, 60-100% for hypersomnia), and general sleep satisfaction (62.5-100%), while the effect on sleep duration was inconsistent and depended on the specific SES variable (92.3% for subjective SES, 31.7% for employment status). Lifestyle habits, chronic illnesses, and psychological factors were identified as key mediators of the SES-sleep relationship.

CONCLUSIONS

Unhealthy behaviors, increased stress levels, and limited access to health care in low-SES individuals may explain the SES-sleep health gradient. However, the cross-sectional design of most studies and the high heterogeneity in employed measures of SES and sleep limit the quality of evidence. Further research is warranted due to important implications for health issues and policy changes.

CITATION

Papadopoulos D, Etindele Sosso FA. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research. J Clin Sleep Med. 2023;19(3):605-620.

Sleep health and its implications in First Nation Australians: A systematic review

Understanding the state of sleep health in First Nations Australians offers timely insight into intervention and management opportunities to improve overall health and well-being. This review explored the determinants and burden of poor sleep in First Nations Australians. A systematic search was conducted to identify studies published until August 2020 in First Nations Australian adults. Nine studies (n = 2640) were included, three in community settings, six in clinical populations. Across studies compared with non-Indigenous people, 15–34% of First Nations Australians experience less than recommended hours (<7 h/night), 22% reported fragmented, irregular, and unrefreshing sleep with a high prevalence of OSA in clinical populations (39-46%). Findings show First Nations Australians are significantly more likely to report worse sleep health than Non-Indigenous Australians in all measured domains of sleep. Co-designed sleep programs and service delivery solutions are necessary to ensure timely prevention and management of sleep issues in First Nations communities which to date have been underserved.

Funding

No external funding was provided for this work.

A scoping review of racial/ethnic disparities in sleep

BACKGROUND

Despite remarkable achievements in ensuring health equity, racial/ethnic disparities in sleep still persist and are emerging as a major area of concern. Accumulating evidence has not yet been well characterized from a broad perspective. We conducted a scoping review of studies on sleep disparities by race/ethnicity to summarize characteristics of existing studies and identify evidence gaps.

METHODS

We searched PubMed, CINAHL, PsycINFO, and Web of Science databases for studies of racial/ethnic disparities in sleep. Studies that met inclusion criteria were retrieved and organized in a data charting form by study design, sleep measuring methods, sleep features, and racial/ethnic comparisons.

RESULTS

One hundred sixteen studies were included in this review. Most studies focused on disparities between Whites and Blacks. Disproportionately fewer studies examined disparities for Hispanic, Asian, and other racial/ethnic groups. Self-reported sleep was most frequently used. Sleep duration, overall sleep quality, and sleep disordered breathing were frequently studied, whereas other features including sleep efficiency, latency, continuity, and architecture were understudied, particularly in racial minority groups in the US. Current study findings on racial/ethnic disparities in most of sleep features is mixed and inconclusive.

CONCLUSIONS

This review identified significant evidence gaps in racial/ethnic disparities research on sleep. Our results suggest a need for more studies examining diverse sleep features using standardized and robust measuring methods for more valid comparisons of sleep health in diverse race/ethnicity groups.

Sleep health in Indigenous Australian children: a systematic review

OBJECTIVE/BACKGROUND

The health and wellbeing of Indigenous Australian children has long been an issue of concern. However, to date there is a lack of attention to sleep health (particularly education and appropriate health service availability) in Indigenous Australians. The present review aimed to evaluate the prevalence of sleep problems in Indigenous Australians children.

METHOD

Up to August 2020, a systematic search using the keywords: "sleep problems"; "sleep disturbances"; "sleep quality"," "sleep disorder"; "sleep apnoea"; "obstructive sleep apnoea"; "OSA"; and "sleep-disordered breathing" AND "Indigenous Australians"; "Aboriginal"; "Torres Strait Islander"; was conducted on PubMed; Informit Indigenous Collection Scopus and CINAHL; "LIt.search tool" from the Lowitja Institute; Indigenous HealthInfoNet, Google Scholar (advanced), government agencies and relevant grey literature.

RESULTS

The search found only 13 studies focusing on sleep issues in Indigenous Australian children (birth to 17 years) with a pool of up to 4664 participants with 11 community-based studies (using mostly parental or self-report) and two in clinical populations (sleep laboratory). Three studies were longitudinal, all others were cross-sectional. Insomnia symptoms varied from 15% to 34.7%. Indigenous children reported severe daytime sleepiness (20%), short sleep (10.9%) late sleepers (50%). Snoring was reported in 14.2% with children in the community while up to 51% were objectively diagnosed to have OSA in a clinical setting.

CONCLUSION

The availability of only 13 studies investigating paediatric Indigenous sleep highlights the paucity of data in this area. Compared with non-indigenous people, Indigenous children are significantly more likely to experience short sleep duration and a high proportion reported symptoms of sleep disordered breathing. Working and conferring with Indigenous communities is an opportunity to engage in partnerships to improve sleep health and subsequently general health.

The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age

BACKGROUND

To date, research assessing discrimination has employed primarily explicit measures (i.e., self-reports), which can be subject to intentional and social desirability processes. Only a few studies, focusing on sex and race/ethnicity discrimination, have relied on implicit measures (i.e., Implicit Association Test, IAT), which permit assessing mental representations that are outside of conscious control. This study aims to advance measurement of discrimination by extending the application of implicit measures to multiple types of discrimination and optimizing the time required for the administration of these instruments.

METHODS

Between September 27th 2019 and February 9th 2020, we conducted six experiments (984 participants) to assess implicit and explicit discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. Implicit discrimination was measured by using the Brief-Implicit Association Test (B-IAT), a new validated version of the IAT developed to shorten the time needed (from ≈15 to ≈2 min) to assess implicit mental representations, while explicit discrimination was assessed using self-reported items.

RESULTS

Among participants (mean age = 37.8), 68.6% were White Non-Hispanic; 69% were females; 76.1% were heterosexual; 90.7% were gender conforming; 52.8% were medium weight; and 41.5% had an advanced level of education. Overall, we found implicit and explicit recognition of discrimination towards all the target groups (stronger for members of the target than dominant groups). Some exceptions emerged in experiments investigating race/ethnicity and weight discrimination. In the racism experiment, only people of Color showed an implicit recognition of discrimination towards the target group, while White people were neutral. In the fatphobia experiment, participants who were not heavy showed a slight implicit recognition of discrimination towards the dominant group, while heavy participants were neutral.

CONCLUSIONS

This study provides evidence that the B-IAT is a valuable tool for quickly assessing multiple types of implicit discrimination. It shows also that implicit and explicit measures can display diverging results, thus indicating that research would benefit from the use of both these instruments. These results have important implications for the assessment of discrimination in health research as well as in social and psychological science.

Linking discrimination and sleep with biomarker profiles: An investigation in the MIDUS study

Self-reported experiences of discrimination and sleep dysfunction have both been shown to adversely impact biological functioning; however, few studies have examined how they are jointly associated with health. The current study draws from two samples of the Midlife in the United States (MIDUS) data (n ​= ​617 participants; 59.8% female; 72.3% White and 27.7% African American; Age: Mean ​= ​52.6, SD ​= ​12.22) to identify profiles of sleep (duration, variability, onset latency, wake after sleep onset, naps) and discrimination (everyday, lifetime, impact). Associations with latent profiles of biomarkers of inflammation (CRP, fibrinogen, IL-6) and endocrine stress (cortisol, epinephrine, norepinephrine) were examined. Three profiles were identified for sleep/discrimination (good, fair, poor) and for biomarkers (average, high inflammation, high neuroendocrine). Chi-square analyses indicated that adults in the good sleep/low discrimination profile were more likely to be in the average biomarker profile but less likely to be in the high inflammation profile. Adults in the fair sleep/moderate discrimination risk profile were more likely to be in the high inflammation profile. Adults in the poor sleep/high discrimination risk profile were less likely to be in the average biomarker profile but more likely to be in the high inflammation profile. The current study identified configurations of sleep and discrimination among midlife adults which were associated with profiles of biological risk. The findings provide implications for identifying individuals who may be at increased risk of developing stress-related tertiary outcomes of morbidity and disease.

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Evidence for distinct profiles of sleep/discrimination among Black and White adults.

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Riskier sleep/discrimination profiles are associated with riskier biomarker profiles.

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Black adults were more likely to be in the riskier sleep and biomarker profiles.

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Study links sleep and discrimination to inflammatory and endocrine biomarkers.

Live fast, die young and sleep later: Life history strategy and human sleep behavior

Background and objectives

Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestations of an individual's underlying relative prioritization of short-term reproduction versus long-term maintenance.

Methodology

We collected survey data from 568 participants across two online studies having different participant pools. We use a mixture of segmented and hierarchical regression models, structural equation modeling and machine learning to infer relationships between sleep duration/quality, attitudes about sleep and biodemographic/psychometric measures of life history strategy (LHS).

Results

An age-mediated U- or V-shaped relationship appears when LHS is plotted against habitual sleep duration, with the fastest strategies occupying the sections of the curve with the highest mortality risk: < 6.5 hr (short sleep) and > 8.5 hr (long sleep). LH 'fastness' is associated with increased sleepiness and worse overall sleep quality: delayed sleep onset latency, more wakefulness after sleep onset, higher sleep-wake instability and greater sleep duration variability. Hedonic valuations of sleep may mediate the effects of LHS on certain sleep parameters.

Conclusions and implications

The costs of deprioritizing maintenance can be parameterized in the domain of sleep, where 'life history fastness' corresponds with sleep patterns associated with greater senescence and mortality. Individual differences in sleep having significant health implications can thus be understood as components of lifelong trajectories likely stemming from calibration to developmental circumstances. Relatedly, hedonic valuations of sleep may constitute useful avenues for non-pharmacological management of chronic sleep disorders.Lay Summary: Sleep is essential because it allows the body to repair and maintain itself. But time spent sleeping is time that cannot be spent doing other things. People differ in how much they prioritize immediate rewards, including sociosexual opportunities, versus long-term goals. In this research, we show that individual differences in sleep behaviors, and attitudes toward sleep, correspond with psychological and behavioral differences reflecting such differing priorities. Orientation toward sleep can thus be understood as part of the overall lifetime strategies that people pursue.

Sleep timing and sleep problems of preschoolers in Aotearoa/New Zealand: relationships with ethnicity and socioeconomic position

OBJECTIVES

To provide descriptive sleep data and explore sleep inequities, we investigated maternal reports of when and how well Māori (Indigenous) and non-Māori preschoolers sleep, and examined relationships between ethnicity (child and maternal), socioeconomic position (SEP) and sleep timing and problems of 3-4 year old children in Aotearoa/New Zealand (NZ).

METHODS

This study involved cross-sectional analysis of data from the Moe Kura: Mother and Child, Sleep and Wellbeing in Aotearoa/New Zealand longitudinal study. Log-binomial regression models were used to investigate associations between child and maternal demographic variables and preschooler bedtimes, social jetlag and maternally-reported sleep problems. Child models included child ethnicity, child gender, area- and individual-level deprivation. Maternal models included maternal ethnicity, maternal age, area- and individual-level deprivation.

RESULTS

340 Māori and 570 non-Māori preschoolers and their mothers participated. Māori preschoolers had later average bedtimes and wake times than non-Māori preschoolers. Ethnicity and area-level deprivation were independently associated with later bedtimes. Ethnicity was associated with social jetlag and sleep problems, independent of SEP. Individual-level deprivation was associated with problems falling asleep. Preschoolers of Māori mothers in least deprived areas were more likely to have problems falling asleep than preschoolers of non-Māori mothers in least deprived areas.

CONCLUSIONS

Research is needed to understand what sleep timing differences mean for preschoolers' wellbeing in NZ. Fundamental causes of social and economic disadvantage experienced by Indigenous children and mothers and by families who hold low SEP must be addressed, in order to eliminate sleep health inequities in early childhood.

A workshop report on the causes and consequences of sleep health disparities

Sleep deficiencies, which include insufficient or long sleep duration, poor sleep quality, and irregular timing of sleep, are disproportionately distributed among populations that experience health disparities in the United States. Sleep deficiencies are associated with a wide range of suboptimal health outcomes, high-risk health behaviors, and poorer overall functioning and well-being. This report focuses on sleep health disparities (SHDs), which is a term defined as differences in one or more dimensions of sleep health on a consistent basis that adversely affect designated disadvantaged populations. SHDs appear to share many of the same determinants and causal pathways observed for health outcomes with well-known disparities. There also appears to be common behavioral and biological mechanisms that connect sleep with poorer health outcomes, suggesting a link between SHDs and other health disparities observed within these designated populations. In 2018, the National Institute on Minority Health and Health Disparities, the National Heart, Lung, and Blood Institute, and the Office of Behavioral and Social Sciences Research convened a workshop with experts in sleep, circadian rhythms, and health disparities to identify research gaps, challenges, and opportunities to better understand and advance research to address SHDs. The major strategy to address SHDs is to promote integration between health disparity causal pathways and sleep and circadian-related mechanisms in research approaches and study designs. Additional strategies include developing a comprehensive, integrative conceptual model, building transdisciplinary training and research infrastructure, and designing as well as testing multilevel, multifactorial interventions to address SHDs.

Biopsychosocial factors associated to self-percepted sleep function in Brazilian elderly people: analysis of a national survey

BACKGROUND

Sleep is a dimension of well-being and health. Non-restful sleep is related to health dysfunctions, especially in vulnerable populations, considering that related factors change contextually. Thus, the objective of the present study was to measure the magnitude of the reduction in sleep restorative function (SRF) and related biopsychosocial factors in Brazilian elderly.

METHOD

Secondary data from the 2013 National Health Survey of cross-sectional design were analyzed. The sample consisted of individuals as from 60 years old. The outcome considered was the prevalence of reduced self-perceived sleep restorative function (SRF). Health and sleep characteristics, emotional behavior, lifestyle, social support, and urbanization were all investigated. The association with outcome was measured with the prevalence ratio (PR) and estimated with Cox regression, assuming α ≤ 0.05.

RESULTS

SRF was reduced by 29.2% (95%CI 27.2 - 30.6%). It is related to depression (PR = 3.37; 95%CI 2.87 - 3.97), insomnia/sleepiness (PR = 2.45; 95%CI 2.14 - 2.79); behavioral oscillation (PR = 1.75; 95%CI 1.53 - 1.99), negative health perception (PR = 1.50; 95%CI 1.23 - 1.82), computer and internet (PR = 1.44; 95%CI 1.01 - 2.07) and functional difficulty (PR = 1.13; 95%CI 1.01 - 1.27). Living in urban areas (PR = 1.32; 95%CI 1.14 - 1.52) and having a chronic condition (PR = 1.58; 95%CI 1.11 - 2.40) were only associated to the worst situation of reduced SRF.

CONCLUSION

The reduction in SRF affects one third of the elderly in Brazil and is closely related to biopsychosocial factors, requiring intersectoral public health promotion approaches.

Everyday and major experiences of racial/ethnic discrimination and sleep health in a multiethnic population of U.S. women: findings from the Sister Study

BACKGROUND

Perceived racial/ethnic discrimination and poor sleep occur across all races/ethnicities in the U.S., although both are most common among racial/ethnic minorities. Few studies have investigated associations between perceived racial/ethnic discrimination and various sleep dimensions in a multiethnic population.

METHODS

We analyzed cross-sectional associations among 40,038 eligible Sister Study participants (enrollment: 2003-2009) who reported ever/never experiencing specific types of everyday (eg, treated unfairly at a store or restaurant) or major (eg, unfairly stopped, threatened, or searched by police) discrimination attributed to their race/ethnicity during a follow-up survey in 2008-2012. Participants also reported short sleep duration (<7 h), sleep debt (≥2-h difference between longest and shortest sleep duration), frequent napping (≥3 times/week), and insomnia. Poisson regression with robust variance estimation, adjusted for sociodemographic and health characteristics, estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between each type of racial/ethnic discrimination and each sleep dimension, overall and by race/ethnicity.

RESULTS

Mean age was 55 ± 8.9 years, 89% were Non-Hispanic (NH)-white, 8% NH-black, and 3% Hispanic/Latina. NH-black participants were the most likely to report everyday (76% vs. 4% [NH-whites] and 36% [Hispanics/Latinas]) and major racial/ethnic discrimination (52% vs. 2% [NH-whites] and 18% [Hispanics/Latinas]). Participants who experienced both types versus neither were more likely to report short sleep duration (PR = 1.17 [95% CI: 1.09-1.25]) and insomnia symptoms (PR = 1.10 [1.01-1.20]) but not other poor sleep dimensions.

CONCLUSIONS

Racial/ethnic minority women were most likely to experience racial/ethnic discrimination, which was associated with certain poor sleep dimensions among women of all races/ethnicities.

Association between Neighborhood Environment and Quality of Sleep in Older Adult Residents Living in Japan: The JAGES 2010 Cross-Sectional Study

Poor sleep is associated with lifestyle, however, few studies have addressed the association between sleep quality and the neighborhood environment. This study aimed to investigate the associations between living environment factors and sleep quality in older people. Participants were community-dwelling people aged ≥65 years who participated in the 2010 Japanese Gerontological Evaluation Study. The data of 16,650 people (8102 men, 8548 women) were analyzed. Sleep quality (good or poor) was evaluated using a self-administered questionnaire. Multilevel Poisson regression analysis stratified by depressive status (measured by the Geriatric Depression Scale-15 [GDS]) was conducted with sleep quality as the dependent variable and social and physical environmental factors as explanatory variables. The 12,469 non-depressive respondents and 4181 depressive respondents were evaluated. The regression analysis indicated that non-depressive participants slept better if they lived in environments with few hills or steps (prevalence ratio [PR] = 0.75, 95% CI: 0.56–0.9) and with places where they felt free to drop in (PR = 0.51, 95% CI: 0.26–0.98). For depressive participants, these associations were not evident. Living alone, poor self-rated health, low income, and unemployment were associated with poor sleep quality. In addition to support with these individual factors, improving environmental factors at the neighborhood level may improve the sleep quality of community-dwelling older adults.

"Their Sleep Means More Harmony": Maternal Perspectives and Experiences of Preschoolers' Sleep in Ethnically and Socioeconomically Diverse Families in Aotearoa/New Zealand

Viewing sleep through a socioecological lens, maternal perceptions, and experiences of preschoolers' sleep were explored using semistructured interviews with 15 Māori (indigenous) and 16 non-Māori mothers, with low- and high socioeconomic position. Thematic analysis identified four themes: child happiness and health, maternal well-being, comfort and connection, and family functioning and harmony. Mothers perceived healthy preschooler sleep as supporting children's mental and physical health, parents' sleep/wake functioning, family social cohesion and emotional connectedness, and poor preschooler sleep as negatively influencing child, maternal and family well-being. Although many experiences were shared, some perceptions of sleep and sleep practices differed between mothers. Influences included health paradigms, socioeconomic circumstances, maternal autonomy, employment, parenting approaches, and societal expectations. Healthy preschooler sleep is valued by mothers and may play a protective role in family health and resilience. Preschooler sleep initiatives need to be responsive to maternal perspectives and address societal drivers of sleep experiences.

Differential effects of age on quality of sleep and depression in patients receiving maintenance haemodialysis

BACKGROUND

Poor quality of sleep and depression are common and highly associated with each other in patients on haemodialysis. We aimed to investigate whether they share common risk factors and how age may influence their development.

METHODS

Cross-sectional observation study on 120 haemodialysis patients with quality of sleep and depression assessed by Pittsburgh Sleep Quality Index (PSQI) and Taiwanese Depression Questionnaire (TDQ), respectively.

RESULTS

The prevalence of poor quality of sleep and depression was 92.5% and 43.3%, respectively. PSQI scores were associated with age, gender, education and monthly income while TDQ scores were associated with low serum creatinine and albumin levels. Elderly patients at ages older than 65 had the highest average PSQI score (12.26 ± 4.35) than the young group at age 20-44 (8.25 ± 4.39) (P = 0.028) but the average TDQ scores were similar across three age groups. The proportion of those who had high PSQI scores was significantly higher in the elderly group (54.4%, P = 0.017) and the 44-65-years group (51.9%, P = 0.028) than the young group (16.7%). The proportion of those who reported normal quality of sleep was much lower in the elderly group (0.0%) than the other two groups (25.0%, P < 0.001 and 11.7%, P < 0.01). The proportions of those who had different ranges of TDQ scores did not show such a pattern of strong age dependence.

CONCLUSIONS

Poor quality of sleep in haemodialysis patients is associated with socio-economic factors while depression is more related to biochemistry indicators. A majority of older patients suffer very poor quality of sleep while depression appears equally severe and common across different age groups.

Self-reported sleep complaints are associated with adverse health outcomes: cross-sectional analysis of the 2002/03 New Zealand Health Survey

OBJECTIVE

The aim was to investigate the prevalence of self-reported sleep complaints in New Zealand adults and determine the independent association of sleep complaints with adverse health outcomes.

DESIGN

We used 2002/03 New Zealand Health Survey data (n = 12,500 adults, ≥15 years). The prevalence of self-reported sleep complaints was estimated by ethnicity. The relationship between sleep complaints and mental health, physical health and health risk behaviors were investigated using multivariable logistic regression models.

RESULTS

The prevalence of each sleep complaint measure was highest for the indigenous Māori population (23.6% reported 'any' sleep complaint; 10.3% reported multiple sleep complaints). Reporting 'any' sleep complaint was associated with higher odds of poorer mental health, diagnosed high blood pressure, diagnosed diabetes, diagnosed heart disease, poor/fair self-rated health, obesity, current smoking, and hazardous drinking.

CONCLUSION

The higher prevalence of sleep complaints among Māori and the consistent association with poor health suggests a potential role for suboptimal sleep in ethnic health inequities.

Racism and health in New Zealand: Prevalence over time and associations between recent experience of racism and health and wellbeing measures using national survey data

OBJECTIVES

Racism is an important health determinant that contributes to ethnic health inequities. This study sought to describe New Zealand adults' reported recent experiences of racism over a 10 year period. It also sought to examine the association between recent experience of racism and a range of negative health and wellbeing measures.

METHODS

The study utilised previously collected data from multiple cross-sectional national surveys (New Zealand Health Surveys 2002/03, 2006/07, 2011/12; and General Social Surveys 2008, 2010, 2012) to provide prevalence estimates of reported experience of racism (in the last 12 months) by major ethnic groupings in New Zealand. Meta-analytical techniques were used to provide improved estimates of the association between recent experience of racism and negative health from multivariable models, for the total cohorts and stratified by ethnicity.

RESULTS

Reported recent experience of racism was highest among Asian participants followed by Māori and Pacific peoples, with Europeans reporting the lowest experience of racism. Among Asian participants, reported experience of racism was higher for those born overseas compared to those born in New Zealand. Recent experience of racism appeared to be declining for most groups over the time period examined. Experience of racism in the last 12 months was consistently associated with negative measures of health and wellbeing (SF-12 physical and mental health component scores, self-rated health, overall life satisfaction). While exposure to racism was more common in the non-European ethnic groups, the impact of recent exposure to racism on health was similar across ethnic groups, with the exception of SF-12 physical health.

CONCLUSIONS

The higher experience of racism among non-European groups remains an issue in New Zealand and its potential effects on health may contribute to ethnic health inequities. Ongoing focus and monitoring of racism as a determinant of health is required to inform and improve interventions.

Sleep health disparity: the putative role of race, ethnicity and socioeconomic status

Sleep plays a pivotal role in both physical and mental health. Sleep quality can be affected by many socio demographic factors, such as race and/or ethnicity, as well as socio economic status (SES). Chronic sleep deprivation is associated with unhealthy behaviors such as alcohol abuse and also places individuals at risk for chronic diseases including obesity, cardiovasculardisease (CVD), depression, and/or anxiety. This review explores the common socio demographic factors and SES that can lead to sleep disturbances. Among these factors are shift work, poor dietary habits, smoking and alcohol abuse. Such factors need to be considered by health care providers in the clinical assessment and management plans of patients with sleep disorders.