BackgroundStudies suggest that the built environment with high numbers of fast food restaurants and convenience stores and low numbers of super stores and grocery stores are related to obesity, type II diabetes mellitus, and other chronic diseases. Since few studies assess these relationships at the county level, we aim to examine fast food restaurant density, convenience store density, super store density, and grocery store density and prevalence of type II diabetes among counties in South Carolina.MethodsPearson’s correlation between four types of food outlet densities- fast food restaurants, convenience stores, super stores, and grocery stores- and prevalence of type II diabetes were computed. The relationship between each of these food outlet densities were mapped with prevalence of type II diabetes, and OLS regression analysis was completed adjusting for county-level rates of obesity, physical inactivity, density of recreation facilities, unemployment, households with no car and limited access to stores, education, and race.ResultsWe showed a significant, negative relationship between fast food restaurant density and prevalence of type II diabetes, and a significant, positive relationship between convenience store density and prevalence of type II diabetes. In adjusted analysis, the food outlet densities (of any type) was not associated with prevalence of type II diabetes.ConclusionsThis ecological analysis showed no associations between fast food restaurants, convenience stores, super stores, or grocery stores densities and the prevalence of type II diabetes. Consideration of environmental, social, and cultural determinants, as well as individual behaviors is needed in future research.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2681-6) contains supplementary material, which is available to authorized users.

Objectives Studies suggest that parents tend to misperceive their child's actual weight status and typically underestimate their child's weight. Since few studies examine the factors that influence parental misperception, this study aims to assess the influence of parent and child factors with parental misperception of their child's actual weight status who were either at their recommended weight or overweight/obese in South Carolina in 2013 and 2014. Methods Secondary data were obtained from the Behavioral Risk Factor Surveillance System (BRFSS) and the Children's Health Assessment Survey (CHAS) in 2013 and 2014 in SC. Parental misperception of child's actual weight status was measured by comparing parental perception to their child's actual weightstatus measured via BMI. Logistic regression was conducted to assess the association between parental and child factors with parental misperception of child's weight status. Results In the adjusted multivariate analysis, only child's age was significantly and positively associated with parental misperception of their child's actual weight status. Conclusions for Practice This cross sectional analysis showed an association between child's age and parental misperception of child's actual weight status. It is essential to educate parents about their children's weight status, especially among young children.

While studies have documented the influence of caregiver and care recipient factors on caregiver health, it is important to address the potential impact of neighborhood contexts. This study estimated the cross-sectional associations between neighborhood characteristics and mental health among caregivers cohabiting with Alzheimer’s disease care recipients that were experiencing severe or non-severe neuropsychiatric symptoms (NPSs) (e.g., aggression/anxiety). We obtained data collected in 2010 on caregivers and care recipients (n = 212) from a subset of South Carolina’s Alzheimer’s Disease Registry. Neighborhood measures (within 1 mile of the residence) came from the American Community Survey and the Rural-Urban Commuting Area Code. We categorized the neighborhood median household income into tertiles, namely, “low” (<$31,000), “medium” ($31,000–40,758), and “high” (>$40,758), and rurality as “large urban,” “small urban,” and “rural.” We used negative binomial regression to estimate the prevalence ratios (PRs) and 95% confidence intervals (CIs) for caregiver mental health using neighborhood characteristics. The mean age was 58 ± 10.3 years, 85% were women, and 55% were non-Hispanic Black. Among the caregivers cohabiting with a recipient experiencing severe NPS, higher distress was experienced by caregivers living in low- (PR = 1.61 (95% CI = 1.26–2.04)) and medium- (PR = 1.45 (95% CI = 1.17–1.78)) vs. high-income neighborhoods after an adjustment. These results suggest that neighborhood characteristics may amplify other social stressors experienced by caregivers.

With the increase in our older adult population, there is a need for dementia training for informal and formal dementia caregivers. The objective of this scoping study is to assess dementia knowledge instruments utilized in educational programs and interventions intended for formal and informal dementia caregivers. Scoping review methodology was used to search PubMed, PsycInfo, CINAHL and Web of Science with tailored database search terms. The search yielded 8101 results, with 35 studies meeting inclusion. Studies were conducted in eight countries, had varying study designs (randomized controlled trials [RCTs] = 9, non-RCTs = 6, one-group study design = 20) and utilized previously published (19) and author developed (16) instruments. Furthermore, the studies were internationally diverse, conducted in the United States (n = 18), Australia (n = 7), UK (n = 3), China (n = 2), Canada (n = 2), Taiwan (n = 1), Brazil (n = 1) and multi-country (n = 1). Only two studies focused on minority populations. While author-developed instruments may be more relevant and timesaving, studies should strive to validate instruments or use previously published instruments to help standardize findings across studies and understand better the effects of educational programs on caregiver knowledge. Geriatr Gerontol Int 2020; 20: 397-413.

Although low neighborhood social cohesion (nSC) has been linked with poor sleep, studies of racially/ethnically diverse participants using multiple sleep dimensions remain sparse. Using National Health Interview Survey data, we examined overall, age, sex/gender, and racial/ethnic-specific associations between nSC and sleep health among 167,153 adults. Self-reported nSC was categorized into low, medium, and high. Very short sleep duration was defined as <6 hours; short as <7 h, recommended as 7–9 h, and long as ≥9 h. Sleep disturbances were assessed based on trouble falling and staying asleep, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for sleep dimensions by low and medium vs. high nSC. The mean age of the sample was 47 ± 0.1 years, 52% of those included were women, and 69% were Non-Hispanic (NH)-White. Low vs. high nSC was associated with a higher prevalence of very short sleep (PR = 1.29; (95% CI = 1.23–1.36)). After adjustment, low vs. high nSC was associated with very short sleep duration among NH-White (PR = 1.34 (95% CI = 1.26–1.43)) and NH-Black (PR = 1.14 (95% CI = 1.02–1.28)) adults. Low nSC was associated with shorter sleep duration and sleep disturbances.