Geographic distribution of insufficient sleep across the United States: a county-level hotspot analysis

Grandner, Michael A.; Smith, Tony; Jackson, Nicholas; Jackson, Tara; Burgard, Sarah A.; Branas, Charles C.

doi:10.1016/j.sleh.2015.06.003

Cited by 48 publications

(31 citation statements)

References 35 publications

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“…Using county-level data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS), Grandner et al identified insufficient sleep ‘hotspots’ in the Appalachian region that connects Tennessee, Virginia, West Virginia, Kentucky, and Ohio. Similar hotspots were found in the Midwest and southeast United States(11). …”

Section: Habitual Sleep Duration and Cardiovascular Diseasesupporting

confidence: 76%

Sleep

Grandner

Alfonso‐Miller

Fernández-Mendoza

et al. 2016

Current Opinion in Cardiology

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126

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Purpose of Review Sleep plays many roles in maintenance of cardiovascular health. This review summarizes the literature across several areas of sleep and sleep disorders in relation to cardiometabolic disease risk factors. Current Findings Insufficient sleep duration is prevalent in the population and is associated with weight gain and obesity, inflammation, cardiovascular disease, diabetes, and mortality. Insomnia is also highly present and represents an important risk factor for cardiovascular disease, especially when accompanied by short sleep duration. Sleep apnea is a well-characterized risk factor for cardiometabolic disease and cardiovascular mortality. Other issues are relevant as well. For example, sleep disorders in pediatric populations may convey cardiovascular risks. Also, sleep may play an important role in cardiovascular health disparities. Summary Sleep and sleep disorders are implicated in cardiometabolic disease risk. This review addresses these and other issues, concluding with recommendations for research and clinical practice.

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Section: Habitual Sleep Duration and Cardiovascular Diseasesupporting

confidence: 76%

Sleep

Grandner

Alfonso‐Miller

Fernández-Mendoza

et al. 2016

Current Opinion in Cardiology

Self Cite

126

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“…At the regional level, recent studies have shown that geography explains sleep disturbance [84] and insufficient sleep [149] in the United States. Specifically, a state-by-state analysis by Grandner and colleagues [84] examined 36 US states to show that those in southern states were more likely to report difficulty sleeping over the past two weeks.…”

Section: Unpacking Race/ethnicity Findingsmentioning

confidence: 99%

Sleep disparity, race/ethnicity, and socioeconomic position

et al. 2016

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Sleep represents a set of biological functions necessary for the maintenance of life. Performing these functions, though, requires that an individual engage in behaviors, which are affected by social and environmental factors. Race/ethnicity and socioeconomic position represent categories of factors that likely play a role in the experience of sleep in the community. Previous studies have suggested that racial/ethnic minorities and the socioeconomically disadvantaged may be more likely to experience sleep patterns that are associated with adverse health outcomes. It is possible that disparities in sleep represent a pathway by which larger disparities in health emerge. This review (1) contextualizes the concept of race/ethnicity in biomedical research, (2) summarizes previous studies that describe patterns of sleep attainment across race/ethnicity groups, (3) discusses several pathways by which race/ethnicity may be associated with sleep, (4) introduces the potential role of socioeconomic position in the patterning of sleep, and (5) proposes future research directions to address this issue.

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“…12,13 This study identified the following factors negatively influencing postmenopausal women's quality of sleep: smoking, number of hot flashes, and age of menopause. However, it is not possible to identify causality, because this was a cross-sectional study, not interventionist.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Postmenopausal Women's Quality of Sleep

Luzo¹,

Conde²,

Coelho³

et al. 2018

Hum. Reprod. Arch.

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Objective: Verify the factors associated with poor sleep quality among postmenopausal women. Methods: Cross-sectional, descriptive, observational study conducted with 185 postmenopausal women assisted at the outpatient clinic of Santa Casa de Sao Paulo. Data were collected regarding sleep quality using the Pittsburgh Sleep Quality Index (PSQI); quality of life according to the WHO Quality of Life-BREF (WHOQOL-BREF) and the Alcohol Use Disorders Identification Test (AUDIT); and through the application of a questionnaire including information on socioeconomic profile, age of menopause, natural or surgical menopause, smoking, chronic diseases, use of hormonal therapy, hot flashes, and alcohol consumption. Data were analyzed using STATA 13 statistical software. Variables were compared by mean and standard deviation. Regression analysis was used to verify the possible factors associated with quality of sleep. The coefficients are considered significant when p<0.10. results: 57.28% of the women investigated presented poor sleep or sleep disturbance. Negative correlation was observed between quality of sleep and smoking (p=0.083), whereas positive correlation was found between poor sleep quality and number of hot flashes (p=0.00). In addition, the earlier the menopause, the worse the quality of sleep (p=0.05). conclusions: The following factors negatively influencing postmenopausal women's quality of sleep were identified: smoking, number of hot flashes, and age of menopause. It is not possible to identify causality; however, worsening sleep quality was identified when these factors were present.

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Geographic distribution of insufficient sleep across the United States: a county-level hotspot analysis

Cited by 48 publications

References 35 publications

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Sleep disparity, race/ethnicity, and socioeconomic position

Factors Influencing Postmenopausal Women's Quality of Sleep

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