Relationship between sleep duration and quality and glycated hemoglobin, body mass index, and self-reported health in Marshallese adults.

OBJECTIVE: To document sleep duration and sleep quality among a sample of Marshallese adults and to examine if sleep duration and quality are associated with type 2 diabetes, body mass index (BMI), and self-reported health in the Marshallese population. DESIGN: Cross-sectional analysis of a staff-administered survey. SETTING: Thirty Marshallese churches in Arkansas and Oklahoma. PARTICIPANTS: The study includes 378 Marshallese participants, 56.6% female, with a mean age of 42.4 years (±11.6). Recruitment was limited to participants who were considered overweight, with a BMI >25 kg/m2. MEASURES: Staff-administered surveys were used to collect data on sleep duration, sleep quality, and self-reported health. Clinical measures were collected by trained research personnel using standard tools and protocols. Kruskal-Wallis tests, Spearman's correlations, and nonparametric tests of trends were used to evaluate differences in HbA1c, BMIc, and self-reported health by sleep duration and quality. Multivariable analyses were used to test the associations, controlling for sociodemographic factors. RESULTS: Fifty-four percent of the participants reported something other than normal sleep duration and 52.4% reported at least 1 night of difficult or interrupted sleep in the previous 2-week period. Longer sleep duration was associated with lower HbA1c and poorer sleep quality was associated with higher HbA1c. Poor sleep quality was associated with lower self-reported health. However, neither sleep duration nor quality was associated with BMI. The associations were found independent of sociodemographic factors. CONCLUSION: This is the first study to document sleep duration and sleep quality, as well as the first study to examine the relationship between sleep and HbA1c, BMI, and self-reported health in Marshallese adults with a BMI >25 kg/m2. This research will be used to help develop sleep interventions to address type 2 diabetes health disparities in the Marshallese community.

Social network factors and cardiovascular health among baltimore public housing residents.

Social networks - or the web of relationships between individuals - may influence cardiovascular disease risk, particularly in low-income urban communities that suffer from a high prevalence of cardiovascular disease. Our objective was to describe the social networks of public housing residents - a low-income urban population - in Baltimore, MD and the association between these networks and blood pressure. We used cross-sectional survey data of randomly selected heads of household in two public housing complexes in Baltimore, MD (8/2014-8/2015). Respondents answered questions about 10 social network members, including attributes of their relationship and the frequency of interaction between members. We calculated measures of network composition (e.g., proportion of network members who were family members) and network structure (e.g., density), which we then dichotomized as "high" (upper quartile) and "low" (less than upper quartile). We used linear regression to test the association between network measures and mean systolic and diastolic blood pressure. The sample included 259 respondents (response rate: 46.6%). Mean age was 44.4 years, 85.7% were women, 95.4% Black, and 56.0% had a history of hypertension. A high proportion of older children (age 8-17 years) in the network (>30%) was associated with a 4.0% (95%CI [0.07, 8.07], p = 0.047) higher mean systolic blood pressure (~4.9 mmHg greater). Other network attributes had no association with blood pressure. Social network attributes, such as having a high proportion of older children in one's network, may have particular relevance to blood pressure among low-income public housing residents, reinforcing the potential importance of social relationships to cardiovascular health.