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Abstract Background Diet and sleep are both established risk factors for cardiometabolic diseases. Prior evidence suggests a potential link between these behaviors, though longitudinal evidence for how diet associates with sleep is scarce. This study aimed to determine the prospective association between diet quality in young adulthood and multiple sleep outcomes at midlife in the Bogalusa Heart Study (BHS). Methods This prospective study included 593 BHS subjects with dietary assessment at the 2001–2002 visit and sleep questionnaire responses from the 2013–2016 visit, after an average of 12.7 years (baseline mean age: 36 years, 36% male, 70%/30% White and Black persons). A culturally tailored, validated food frequency questionnaire assessed usual diet. Diet quality was measured with the Alternate Healthy Eating Index (AHEI) 2010, the Healthy Eating Index (HEI) 2015, and the alternate Mediterranean (aMed) dietary score. Robust Poisson regression with log-link function estimated risk ratios (RR) for insomnia symptoms, high sleep apnea score, and having a healthy sleep pattern by quintile and per standard deviation (SD) increase in dietary patterns. Models adjusted for potential confounders including multi-level socioeconomic factors, depression, and body mass index. Trends across quintiles and effect modification by sex, race, and education were tested. Results Higher diet quality in young adulthood, measured by both AHEI and HEI, was associated with lower probability of having insomnia symptoms at midlife. In the adjusted model, each SD-increase in AHEI (7.8 points; 7% of score range) conferred 15% lower probability of insomnia symptoms at follow-up (RR [95% confidence interval CI]: 0.85 [0.77, 0.93]), those in Q5 of AHEI had 0.54 times the probability as those in Q1 (95% CI: 0.39, 0.75), and there was a significant trend across quintiles (trend p = 0.001). There were no significant associations between young adult diet quality and having a high sleep apnea risk or a healthy sleep pattern at follow-up. Conclusions A healthy diet was associated with a lower probability of future insomnia symptoms. If replicated, these findings could have implications for chronic disease prevention strategies incorporating the lifestyle behaviors of sleep and diet.

IntroductionMultimorbidity and health-related quality of life (HRQoL) are intimately linked. Multiple chronic conditions may adversely affect physical and mental functioning, while poorer HRQoL may contribute to the worsening course of diseases. Understanding mechanisms through which specific combinations of diseases affect HRQoL outcomes can facilitate identification of factors which are amenable to intervention. Jamaica, a middle-income country with high multimorbidity prevalence, has a health service delivery system dominated by public sector provision via a broad healthcare network. This study aims to examine whether multimorbidity classes differentially impact physical and mental dimensions of HRQoL in Jamaicans and quantify indirect effects on the multimorbidity–HRQoL relationship that are mediated by health system factors pertaining to financial healthcare access and service use.Materials and methodsLatent class analysis (LCA) was used to estimate associations between multimorbidity classes and HRQoL outcomes, using latest available data from the nationally representative Jamaica Health and Lifestyle Survey 2007/2008 (N = 2,551). Multimorbidity measurement was based on self-reported presence/absence of 11 non-communicable diseases (NCDs). HRQoL was measured using the 12-item short-form (SF-12) Health Survey. Mediation analyses guided by the counterfactual approach explored indirect effects of insurance coverage and service use on the multimorbidity–HRQoL relationship.ResultsLCA revealed four profiles, including a Relatively Healthy class (52.7%) characterized by little to no morbidity and three multimorbidity classes characterized by specific patterns of NCDs and labelled Metabolic (30.9%), Vascular-Inflammatory (12.2%), and Respiratory (4.2%). Compared to the Relatively Healthy class, Vascular-Inflammatory class membership was associated with lower physical functioning (β = −5.5; p

Abstract Purpose The purpose of this study was to develop and evaluate the reliability and validity of self-efficacy and intentions measures for time spent in nature (TSN). TSN is related to improvement in psychological well-being and health, yet most American adults spend very little time in such settings. Theory-based interventions have been effective in increasing physical activity, a related behavior, and may be one mechanism to increase TSN. Self-efficacy and intentions have been shown to be strong predictors of health behaviors and are used across several theories. However, scales to measure these factors have not yet been developed and are needed to facilitate effective interventions. Methods TSN self-efficacy and intentions scales were developed using a sequential nine-step procedure: identification of the domain and item generation; content validity; pre-testing of questions; sampling and survey administration; item reduction; extraction of factors; tests of dimensionality; tests of reliability; and tests of validity. The 14-member multidisciplinary, researcher and practitioner investigative team generated 50 unique items for self-efficacy and 24 unique items for intentions. After subjecting items to content validity and pre-testing, item sets were reduced to 21 assessing self-efficacy and nine assessing intentions. A nationwide sample of 2109 adult participants (49.7% female, Mean Age = 58.1; 59.8% White, 18.4% Hispanic, 13.3% Black) answered these items via an on-line survey. Results Using split-half measures, principal components analysis indicated a one-factor solution for both scales. The factor structure was upheld in confirmatory factor analyses and had high internal consistency (α = .93 self-efficacy; .91 intentions). The scales were moderately correlated with each other (r = .56, p .20). Conclusions The study resulted in reliable and valid self-efficacy (14 items) and intentions (8 items) scales that can be used to develop future theory-based interventions to increase TSN and thereby improve population health.

Background: Few church-based health interventions have evaluated the influence of neighborhood-level social determinants of health (SDOH) on adopting heart-healthy lifestyles; none has occurred in Louisiana. We aimed to characterize neighborhood-level SDOH that may influence the ability to adopt a heart-healthy lifestyle among Black community church members in New Orleans, LA. Methods: This mixed methods study used quantitative data (surveys) and qualitative data (focus groups) to explore SDOH at the neighborhood- and church-area- level, including factors related to the physical (e.g., walkability, accessibility to recreational facilities) and social (e.g., social cohesion, perceived safety) environments. Descriptive analyses were conducted for quantitative data. Qualitative data were coded and analyzed using grounded theory and thematic analysis. Results: Among survey respondents (n = 302, 77 % female, 99 % Black), most reported having walkable neighborhood sidewalks and high neighborhood social cohesion. Two-thirds did not feel violence was a problem in their neighborhood and felt safe walking, day, or night. Focus group participants (n = 27, 74 % female, 100 % Black) reported facilitators to heart-healthy living, including social support promoting physical activity, intentionality in growing, buying, and preparing produce, and the neighborhood-built environment. Reported barriers included: crime, the COVID-19 pandemic, individual-level factors limiting physical activity, and city-wide disparities influencing health. Participants discussed strategies to promote healthy living, centered around the theme of establishing and rebuilding community relationships. Conclusions: Future health interventions aimed at improving cardiovascular outcomes among church communities should continue to inquire about neighborhood-level SDOH and tailor interventions, as appropriate, to address barriers and leverage facilitators within these communities.

Abstract Background Non-communicable disease (NCD) multimorbidity is associated with impaired functioning, lower quality of life and higher mortality. Susceptibility to accumulation of multiple NCDs is rooted in social, economic and cultural contexts, with important differences in the burden, patterns, and determinants of multimorbidity across settings. Despite high prevalence of individual NCDs within the Caribbean region, exploration of the social epidemiology of multimorbidity remains sparse. This study aimed to examine the social determinants of NCD multimorbidity in Jamaica, to better inform prevention and intervention strategies. Methods Latent class analysis (LCA) was used to examine social determinants of identified multimorbidity patterns in a sample of 2551 respondents aged 15–74 years, from the nationally representative Jamaica Health and Lifestyle Survey 2007/2008. Multimorbidity measurement was based on self-reported presence/absence of 11 chronic conditions. Selection of social determinants of health (SDH) was informed by the World Health Organization’s Commission on SDH framework. Multinomial logistic regression models were used to estimate the association between individual-level SDH and class membership. Results Approximately one-quarter of the sample (24.05%) were multimorbid. LCA revealed four distinct profiles: a Relatively Healthy class (52.70%), with a single or no morbidity; and three additional classes, characterized by varying degrees and patterns of multimorbidity, labelled Metabolic (30.88%), Vascular-Inflammatory (12.21%), and Respiratory (4.20%). Upon controlling for all SDH (Model 3), advancing age and recent healthcare visits remained significant predictors of all three multimorbidity patterns (p

Abstract Background Insufficient physical activity (PA) is a common health risk and more prevalent in rural populations. Few studies have assessed relationships between the built environment and PA in rural settings, and community policy guidance to promote PA through built environment interventions is primarily based on evidence from urban studies. Methods Participants in the Bogalusa Heart Study, a longitudinal study in rural Louisiana, with International Physical Activity Questionnaire data from 2012 to 2013 and a valid residential address (N = 1245) were included. PA was summarized as the number of weekly metabolic equivalent (MET)-minutes of total, transportation, and leisure time PA. The Rural Active Living Assessment street segment audit tool and Google Street View were used to assess features of the built environment overall and in six categories (path features, pedestrian safety features, aesthetics, physical security, destinations and land use) that influence PA. Scores for street segment built environment (overall and in categories) were calculated, for segments and buffers of 0.25, 0.50, 1.00 and 1.50 miles. Associations between built environment scores and PA were assessed with generalized estimating equations. Results Participants reported little weekly total, leisure time, and transportation PA (mean 470, 230 and 43 MET-minutes per week, respectively). A 1-point increase in the overall built environment score was associated with 10.30 additional weekly leisure time MET-minutes within a 1.50 mile buffer (p-value 0.05), with a similar magnitude observed for a 1.00-mile buffer. A 1-point increase in the aesthetic score was associated with significantly higher leisure time PA for all geographic units (from 22.21 to 38.75 MET-minutes weekly) when adjusted for individual covariates, but was attenuated and only significant for the segment of the residence after accounting for other neighborhood characteristics. Conclusions Significant associations between features of the environment (overall and aesthetic scores) with leisure time PA were observed among adults in this rural population. Built environment interventions in rural settings face additional barriers of lower population density and greater distances for infrastructure projects, and it is important to identify approaches that are both feasible for rural communities and can promote PA.

Abstract Background Small island Caribbean countries such as Jamaica are now facing an epidemic of obesity and decreased physical activity (PA) levels. Public parks have been shown to be important resources for PA that also provide psychological and social benefits associated with increased PA. There are no studies that document PA in parks in the Caribbean. Methods This study utilized a mixed method approach by using the System for Observing Play and Recreation in Communities (SOPARC) to obtain baseline data on park usage patterns in Emancipation Park, a large urban public park in Jamaica. In addition, in-depth interviews were conducted to gain additional insights on the park’s use for PA. Results The park was used mostly by females, in the evenings and by persons 18–64 years old. Females had significantly lower mean energy expenditure (EE) than males (0.078 versus 0.080 kcal/kg/min, p

This study examines how the consumption of fruits and vegetables is affected by home cooking habits and shopping patterns, including distance to patronized stores and frequency of shopping, in two low-income predominantly African American urban neighborhoods in New Orleans, Louisiana. In-person interviews were conducted in 2013 with 901 adult residents who identified themselves as the primary household shopper. Respondents were asked where and how often they shopped and answered a food frequency questionnaire. Addresses were geocoded and distances to the stores where respondents shopped were calculated. Multivariable logistic regression was used to examine the relationship between food consumption and personal factors, neighborhood factors and shopping habits. Consumption of daily servings of fresh produce increased by 3% for each additional trip to a grocery store, by 76% for shopping at a farmer's market, and by 38% for preparing food at home. Each additional trip to a convenience store increased the frequency of consumption of chips, candy and pastries by 3%. The distance from residence to the type of store patronized was not associated with consumption of produce or chips, candy or pastries. Shopping at full-service grocery stores, farmer's markets and cooking at home were positively associated with the consumption of fresh produce while shopping at convenience stores was associated with increased consumption of chips, candy and pastries. These findings are useful for designing programmatic interventions to increase fresh fruit and vegetable consumption among residents in low-income urban communities.

BackgroundEvidence suggests that the single-disease paradigm does not accurately reflect the individual experience, with increasing prevalence of chronic disease multimorbidity, and subtle yet important differences in types of co-occurring diseases. Knowledge of multimorbidity patterns can aid clarification of individual-level burden and needs, to inform prevention and treatment strategies. This study aimed to estimate the prevalence of multimorbidity in Jamaica, identify population subgroups with similar and distinct disease profiles, and examine consistency in patterns identified across statistical techniques.MethodsLatent class analysis (LCA) was used to examine multimorbidity patterns in a sample of 2,551 respondents aged 15-74 years, based on data from the nationally representative Jamaica Health and Lifestyle Survey 2007/2008 and self-reported presence/absence of 11 chronic conditions. Secondary analyses compared results with patterns identified using exploratory factor analysis (EFA).ResultsNearly one-quarter of the sample (24.1%) were multimorbid (i.e. had ≥2 diseases), with significantly higher burden in females compared to males (31.6% vs. 16.1%; pConclusionThis first study of multimorbidity in the Caribbean has revealed a high burden of co-existing conditions in the Jamaican population, that is predominantly borne by females. Consistency across methods supports the validity of patterns identified. Future research into the causes and consequences of multimorbidity patterns can guide development of clinical and public health strategies that allow for targeted prevention and intervention.

Background: Fresh fruit and vegetables are important components of a healthy diet. Distance to a supermarket has been associated with the ability to access fresh produce. Methods: A randomly sampled telephone survey was conducted with the main shopper for 3000 households in New Orleans, Louisiana in 2011. Individuals were asked where and how often they shopped for groceries, frequency of consumption of a variety of foods, and whether they had access to a car. Bivariate models assessed the relationship between four outcomes: car access, distance to the store patronized by the respondent, number of monthly shopping trips, and daily servings of produce. Structural equation modeling (SEM) was used to distinguish direct and indirect effects. Results: In bivariate models, car access was positively associated with number of shopping trips and produce consumption while distance was inversely associated with shopping trips. In SEM models, produce consumption was not associated with car access or distance, but to the number of monthly shopping trips. Conclusion: The frequency of shopping is associated with car access but a further distance deters it. Access to stores closer to the shopper may promote more frequent shopping and consumption of produce.