Food security status and cardiometabolic health by sex/gender and race/ethnicity among adults in the United States.

BACKGROUND: Minoritized racial/ethnic groups and women in the United States (US) are disproportionately burdened by food insecurity, which likely contributes to disparities in cardiovascular health (CVH). Disparities are projected to widen due to the worsening climate crisis that is straining the agricultural system including food supplies. Nonetheless, studies have not investigated the relationship between food security status and 'ideal' CVH in a large, nationally-representative and racially/ethnically diverse US sample. METHODS AND RESULTS: We investigated household food security status in relation to 'ideal' CVH among US adults (N = 157,001) using 2014-2018/2020 National Health Interview Survey data. Food security status was defined as very low, low, marginal, or high. A summed score of 4 health behaviors and 3 clinical factors totaling 7 different measures was dichotomized (yes/no) to assess modified 'ideal' CVH (mICVH). Using Poisson regression with robust variance, we estimated prevalence ratios (PRs) and 95% CIs of mICVH by household food security status. We stratified models by sex/gender and race/ethnicity. Very low food security prevalence was higher among non-Hispanic (NH)-Black (8.0%) compared to Hispanic/Latinx (5.1%), NH-White (3.1%) and NH-Asian (1.7%) adults. The association between very low versus high food security and mICVH was stronger among women (PR = 0.23 [95% CI: 0.17-0.31]) than men (PR = 0.48 [95% CI: 0.35-0.66]). Compared to NH-White adults with high food security, racially/ethnically minoritized groups with very low to high food security were generally less likely (range: [PRvery low = 0.25[95% CI: 0.14-0.44] - [PRhigh = 0.88 [95% CI: 0.79-0.97]) to meet mICVH criteria. CONCLUSIONS: Food insecurity was associated with lower mICVH prevalence and racially/ethnically minoritized groups were disproportionately burdened.

Perceived childhood neighborhood safety and sleep health during childhood and adulthood among a cohort of African American women.

OBJECTIVE: To investigate associations between perceived childhood neighborhood safety and sleep over the life course. METHODS: Among a cohort of 1693 Black/African American women aged 23-35 years at enrollment (2010-2012), participants recalled neighborhood safety (safe vs. unsafe) when they were 5, 10, and 15 years old. Participants' mothers/caregivers and participants reported sleep-related health behaviors at age 5. We used ordinal logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for sleep-related health behaviors (i.e., rarely/never or sometimes vs. mostly/always going to bed by 8:00 p.m., bed in a quiet room, bed in a dimly lit or unlit room), separately. Adulthood sleep duration and insomnia symptoms were reported at enrollment and over three follow-up periods. We applied generalized estimating equations to log binomial regression models to estimate relative risks (RR) for adulthood sleep characteristics. RESULTS AND CONCLUSIONS: Four percent of participants reported an unsafe neighborhood at age 5 years, only, and 12% reported an unsafe neighborhood at all ages. Participants in perceived unsafe vs. safe neighborhoods at age 5 had higher odds of poor sleep-related health behaviors (e.g., rarely/never or sometimes going to bed in a quiet room: OR = 1.73 [1.27-2.35]). Participants in perceived unsafe vs. safe neighborhoods throughout childhood had higher risk of short sleep (RR = 1.10 [1.02-1.18]) and insomnia symptoms (RR = 1.07 [1.00-1.15]) during adulthood after adjustment for life course socioeconomic characteristics and adulthood health behaviors and characteristics. Perceived unsafe childhood neighborhood was associated with poorer sleep over the life course and may serve as an early intervention target.

Features of the Physical and Social Neighborhood Environment and Neighborhood-Level Alzheimer's Disease and Related Dementia in South Carolina.

BACKGROUND: Studies are increasingly examining the relationship between the neighborhood environment and cognitive decline; yet, few have investigated associations between multiple neighborhood features and Alzheimer's disease and related dementias (ADRD). OBJECTIVE: We investigated the relationship between neighborhood features and ADRD cumulative incidence from 2010 to 2014 in the South Carolina Alzheimer's Disease Registry (SCADR). METHODS: Diagnosed ADRD cases ≥50 years of age were ascertained from the SCADR by ZIP code and census tract. Neighborhood features from multiple secondary sources included poverty, air pollution [particulate matter with a diameter of 2.5 micrometers or less (PM2.5)], and rurality at the census-tract level and access to healthy food, recreation facilities, and diabetes screening at the county level. In addition to using Poisson generalized linear regression to estimate ADRD incident rate ratios (IRR) with 95% confidence intervals (CIs), we applied integrated nested Laplace approximations and stochastic partial differential equations (INLA-SPDE) to address disparate spatial scales. We estimated associations between neighborhood features and ADRD cumulative incidence. RESULTS: The average annual ADRD cumulative incidence was 690 per 100,000 people per census tract (95% CI: 660, 710). The analysis was limited to 98% of census tracts with a population ≥50 years old (i.e., 1,081 of 1,103). The average percent of families living below the federal poverty line per census tract was 18.8%, and ∼20% of census tracts were considered rural. The average percent of households with limited access to healthy food was 6.4%. In adjusted models, every 5µg/m3) increase of PM2.5 was associated with 65% higher ADRD cumulative incidence (IRR=1.65; 95% CI: 1.30, 2.09), where PM2.5 at or below 12 µg/m3 is considered healthy. Compared to large urban census tracts, rural and small urban tracts had 10% (IRR=1.10; 95% CI: 1.00, 1.23) and 5% (IRR=1.05; 95% CI: 0.96, 1.16) higher ADRD, respectively. For every percent increase of the county population with limited access to healthy food, ADRD was 2% higher (IRR=1.02; 95% CI: 1.01, 1.04). CONCLUSIONS: Neighborhood environment features, such as higher air pollution levels, were associated with higher neighborhood ADRD incidence. The INLA-SPDE method could have broad applicability to data collected across disparate spatial scales. https://doi.org/10.1289/EHP13183.

Cannabis use and sleep disturbances among White, Black, and Latino adults in the United States: A cross-sectional study of National Comorbidity Survey-Replication (2001-2003) data.

OBJECTIVE: Research investigating cannabis use and sleep health is limited, and results are mixed. Few studies were nationally representative with racially-ethnically diverse samples or assessed potential modifiers. Our objective was to investigate cross-sectional associations between reported cannabis use and sleep disturbances by potential modifiers among non-Hispanic White, non-Hispanic Black, and Hispanic/Latino men and women in the United States. METHODS: We used nationally representative National Comorbidity Survey-Replication data collected from 2001 to 2003 among 3929 adults. Poisson regression with robust variance estimated prevalence ratios (PR) and 95% confidence intervals of patterns of sleep disturbances identified through latent class analysis. Models adjusted for sociodemographic, health behavior, and clinical characteristics were stratified by race-ethnicity and by race-ethnicity along with sex/gender, and age, separately. RESULTS: Over half of adults reported cannabis use (52%-ever/lifetime vs 48%-never). We identified two latent classes: multiple sleep disturbances with daytime sleepiness and no sleep disturbances with some daytime sleepiness. Prevalence of multiple sleep disturbances with daytime sleepiness was higher among participants reporting lifetime cannabis use (23% vs 20%). Associations did not vary by race-ethnicity or sex/gender. Lifetime vs never cannabis use was marginally associated with a higher prevalence of multiple sleep disturbances with daytime sleepiness only among adults aged 25-29years (PR=1.09 [95% confidence interval: 1.00-1.18]; eg, PRage 40+ years=1.00 [0.97-1.03], pinteraction=0.03). CONCLUSIONS: Associations between cannabis use and sleep may vary by age. Replication with more recent data and prospective studies that investigate intersectional identities among diverse populations with objective assessments are warranted.

Neighborhood Social Cohesion and Obesity in the United States.

Low neighborhood social cohesion (nSC) has been associated with obesity. Still, few studies have assessed the nSC-obesity relationship among a large, nationally representative, and racially/ethnically diverse sample of the United States population. To address this literature gap, we examined cross-sectional associations among 154,480 adult participants of the National Health Interview Survey (NHIS) from 2013-2018. We also determined if associations varied by race/ethnicity, sex/gender, age, annual household income, and food security status. Based on a 4-item scale from the Project on Human Development in Chicago Neighborhoods Community Survey, we categorized nSC as low, medium, and high. Based on body mass index (BMI) recommendations, we categorized obesity as ≥30 kg/m2. We used Poisson regression with robust variance to directly estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) while adjusting for sociodemographic characteristics, such as annual household income, educational attainment, and marital status, along with other confounders. Study participants' mean age ± standard error was 47.1±0.1 years; most (69.2%) self-identified as Non-Hispanic (NH)-White, and 51.0% were women. NH-Black and Hispanic/Latinx adults comprised more of the population in neighborhoods with low nSC (14.0% NH-Black, 19.1% Hispanic/Latinx, and 61.8% NH-White) versus high nSC (7.7% NH-Black, 10.4% Hispanic/Latinx and 77.0% NH-White). Low vs. high nSC was associated with a 15% higher prevalence of obesity (PR=1.15 [95% CI: 1.12-1.18]), and the magnitude of the association was more substantial among NH-White (PR=1.21 [95% CI: 1.17-1.25]) compared to associations among Hispanic/Latinx (PR=1.04 [95% CI: 0.97-1.11]) and NH-Black (PR=1.01 [95% CI: 0.95-1.07]) adults. Low vs. high nSC was associated with a 20% higher prevalence of obesity in women (PR=1.20 [95% CI: 1.16-1.24]) compared to a 10% higher prevalence in men (PR=1.10 [95% CI: 1.06-1.14]). Low vs. high nSC was associated with a 19% higher prevalence of obesity among adults ≥50 years old (PR=1.19 [95% CI: 1.15-1.23]) compared to a 7% higher prevalence of obesity among adults <50 years old (PR=1.07 [95% CI: 1.03-1.11]). Efforts to address nSC may improve health and address health disparities.

Financial hardship, sleep disturbances, and their relationship among men and women in the United States during the COVID-19 pandemic.

OBJECTIVE: In the United States (US), the health and financial consequences of COVID-19 have disproportionately impacted women and minoritized racial-ethnic groups. Yet, few US studies have investigated financial hardship during the COVID-19 pandemic and sleep health disparities. Our objective was to investigate associations between financial hardship and sleep disturbances during the COVID-19 pandemic by gender and race and ethnicity in the United States. METHODS: We used the nationally representative COVID-19's Unequal Racial Burden cross-sectional survey data collected among 5339 men and women from 12/2020 to 2/2021. Participants reported financial hardship (eg, debt, employment/work loss) since the pandemic began and completed the Patient-Reported Outcomes Management Information System Short Form 4a for sleep disturbances. Prevalence ratios (PRs) and 95% confidence intervals were estimated using adjusted, weighted Poisson regression with robust variance. RESULTS: Most (71%) participants reported financial hardship. Prevalence of moderate to severe sleep disturbances was 20% overall, higher among women (23%), and highest among American Indian/Alaska Native (29%) and multiracial adults (28%). Associations between financial hardship and moderate to severe sleep disturbances (PR = 1.52 [95% confidence interval: 1.18, 1.94]) did not differ by gender but varied by race and ethnicity: associations were strongest among Black/African American (PR = 3.52 [1.99,6.23]) adults. CONCLUSIONS: Both financial hardship and sleep disturbances were prevalent, and their relationships were strongest among certain minoritized racial-ethnic groups, particularly Black/African American adults. Interventions that alleviate financial insecurity may reduce sleep health disparities.

Food insecurity and sleep health by race/ethnicity in the United States.

Food insecurity, poised to increase with burgeoning concerns related to climate change, may influence sleep, yet few studies examined the food security-sleep association among racially/ethnically diverse populations with multiple sleep dimensions. We determined overall and racial/ethnic-specific associations between food security and sleep health. Using National Health Interview Survey data, we categorised food security as very low, low, marginal and high. Sleep duration was categorised as very short, short, recommended and long. Sleep disturbances included trouble falling/staying asleep, insomnia symptoms, waking up feeling unrested and using sleep medication (all ≥3 d/times in the previous week). Adjusting for socio-demographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95 % confidence intervals (95 % CIs) for sleep dimensions by food security. Among 177 435 participants, the mean age of 47⋅2 ± 0⋅1 years, 52⋅0 % were women, and 68⋅4 % were non-Hispanic (NH)-White. A higher percent of NH-Black (7⋅9 %) and Hispanic/Latinx (5⋅1 %) lived in very low food security households than NH-White (3⋅1 %) participants. Very low v. high food security was associated with a higher prevalence of very short (PR = 2⋅61 [95 % CI 2⋅44-2⋅80]) sleep duration as well as trouble falling asleep (PR = 2⋅21 [95 % CI 2⋅12-2⋅30]). Very low v. high food security was associated with a higher prevalence of very short sleep duration among Asian (PR = 3⋅64 [95 % CI 2⋅67-4⋅97]) and NH-White (PR = 2⋅73 [95 % CI 2⋅50-2⋅99]) participants compared with NH-Black (PR = 2⋅03 [95 % CI 1⋅80-2⋅31]) and Hispanic/Latinx (PR = 2⋅65 [95 % CI 2⋅30-3⋅07]) participants. Food insecurity was associated with poorer sleep in a racially/ethnically diverse US sample.

Perceived neighborhood social cohesion and type 2 diabetes mellitus by age, sex/gender, and race/ethnicity in the United States.

In prior research, perceived low neighborhood social cohesion (nSC) has been associated with prevalence of type 2 diabetes mellitus (T2DM); however, few studies have investigated the nSC-T2DM relationship among a large, racially/ethnically diverse, and nationally representative sample of the U.S. population. We used National Health Interview Survey (2013-2018) data to determine overall, age-, sex/gender-, and racial/ethnic-specific associations between nSC and T2DM among 170,432 adults. Self-reported nSC was categorized as low, medium, and high. T2DM was determined by participants being told they had diabetes by a health professional. We used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CI) while adjusting for confounders. Mean age was 47.4 ±â€¯0.1 years, 52% were women, and 69% self-identified as Non-Hispanic (NH)-White. Low vs. high nSC was associated with a higher prevalence of T2DM (PR = 1.22 [95% CI: 1.16-1.27]), after adjustment. A higher prevalence of T2DM was observed among participants 31-49 years old who perceived low vs. high nSC (PR = 1.36 [95% CI: 1.20-1.54]) and among participants ≥50 years old (PR = 1.18 [95% CI: 1.13-1.24]). Hispanic/Latinx women 18-30 years old in neighborhoods with low vs. high social cohesion had a higher prevalence of T2DM (PR = 3.70 [95% CI: 1.40-9.80]), whereas NH-Black women 18-30 years old in neighborhoods with medium vs. high social cohesion had a lower prevalence of T2DM (PR = 0.35 [95% CI: 0.14-0.89]). Our findings support the literature by demonstrating an association between neighborhood environment and T2DM as well as extend it by identifying determinants for intervention for T2DM.

Neighborhood characteristics and dementia symptomology among community-dwelling older adults with Alzheimer's disease.

Background: Neuropsychiatric symptoms (NPSs) lead to myriad poor health outcomes among individuals with Alzheimer's disease (AD). Prior studies have observed associations between the various aspects of the home environment and NPSs, but macro-level environmental stressors (e.g., neighborhood income) may also disrupt the neuronal microenvironment and exacerbate NPSs. Yet, to our knowledge, no studies have investigated the relationship between the neighborhood environment and NPSs. Methods: Using 2010 data among older adults with AD collected from a sample of the South Carolina Alzheimer's Disease Registry, we estimated cross-sectional associations between neighborhood characteristics and NPSs in the overall population and by race/ethnicity. Neighborhood measures (within a 1/2-mile radius of residence) came from the American Community Survey and Rural Urban Commuting Area Code. We categorized median household income into tertiles: < $30,500, $30,500-40,000, and > $40,000, and rurality as: rural, small urban, and large urban. Residential instability was defined as the percent of residents who moved within the past year. NPSs were defined using the Neuropsychiatric Inventory Questionnaire that included the composite measure of all 12 domains. Adjusting for age, sex/gender, race/ethnicity, and caregiver educational attainment, we used negative binomial regression to estimate prevalence ratios (PR) and 95% confidence intervals (CI) for NPSs by neighborhood characteristics. Results: Among 212 eligible participants, mean age was 82 ± 8.7 years, 72% were women, and 55% non-Hispanic (NH)-Black. Individuals with AD living in < $30,500 vs. > $40,000 income neighborhoods had a 53% (PR = 1.53; 95% CI = 1.06-2.23) higher prevalence of NPSs while individuals living in rural vs. large urban neighborhoods had a 36% lower prevalence of NPSs (PR = 0.64; 95% CI = 0.45-0.90), after adjustment. We did not observe an association between residential instability and NPSs (PR = 0.92; 95% CI = 0.86-1.00); however, our estimates suggested differences by race/ethnicity where NH-White older adults living in residential instable areas had lower NPSs (PR = 0.89; 95% CI = 0.82-0.96) compared to NH-Black older adults (PR = 0.96; 95% CI = 0.86-1.07). Discussion: Across racial/ethnic groups, individuals with AD had more symptomology when living in lower income areas. Pending replication, intervention efforts should consider resource allocation to high-need neighborhoods (e.g., lower income), and studies should investigate underlying mechanisms for this relationship.

Employment Industry and Occupational Class in Relation to Serious Psychological Distress in the United States.

Occupational characteristics may influence serious psychological distress (SPD) and contribute to health inequities; yet, few studies have examined multiple employment industries and occupational classes in a large, racially diverse sample of the United States. Using data from the National Health Interview Survey, we investigated employment industry and occupational class in relation to SPD in the overall population and by race/ethnicity, gender, age, household income, and health status. We created eight employment industry categories: professional/administrative/management, agricultural/manufacturing/construction, retail trade, finance/information/real estate, educational services, health care/social assistance, accommodation/food services, and public administration/arts/other services. We also created three occupational class categories: professional/management, support services, and laborers. SPD was measured using the Kessler Psychological Distress Scale and scores ≥13 indicated SPD. We adjusted for confounders and used Poisson regression to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). Among the 245,038 participants, the mean age was 41.7 ± 0.1 years, 73% were Non-Hispanic (NH)-White, and 1.5% were categorized as having SPD. Compared to the professional/administrative/management industry, working in other industries (e.g., manufacturing/construction (PR = 0.82 [95% CI: 0.70-0.95]) and educational services (PR = 0.79 [95% CI: 0.66-0.94])) was associated with lower SPD. Working in support services and laborer versus professional/management positions were both associated with 19% higher prevalence of SPD (95% CI: 1.04-1.35; 95% CI: 1.04-1.38, respectively). Furthermore, working in a support services or laborer versus professional/management position was associated with higher SPD in most employment industries. Industry-specific workplace interventions to equitably improve mental health are warranted.

Neighborhood social cohesion and serious psychological distress among Asian, Black, Hispanic/Latinx, and White adults in the United States: a cross-sectional study.

BACKGROUND: Serious psychological distress (SPD) is common and more prevalent in women, older adults, and individuals with a low-income. Prior studies have highlighted the role of low neighborhood social cohesion (nSC) in potentially contributing to SPD; however, few have investigated this association in a large, nationally representative sample of the United States. Therefore, our objective was to investigate the overall and racial/ethnic-, sex/gender-, self-rated health status-, age-, and household income-specific relationships between nSC and SPD. METHODS: We used data from survey years 2013 to 2018 of the National Health Interview Survey to investigate nSC and SPD among Asian, Non-Hispanic (NH)-Black, Hispanic/Latinx, and NH-White men as well as women in the United States (N = 168,573) and to determine modification by race/ethnicity, sex/gender, self-rated health status, age, and annual household income. nSC was measured by asking participants four questions related to the trustworthiness and dependability of their neighbors. nSC scores were trichotomized into low (< 12), medium (12-14), and high (15-16). SPD was measured using the Kessler 6 psychological distress scale with scores ≥ 13 indicating SPD. After adjusting for sociodemographic, health behavior, and clinical confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). RESULTS: Among 168,573 participants, most were Non-Hispanic (NH)-White (69%), and mean age was 47 ± 0.01 years. After adjustment, low vs. high nSC was associated with a 75% higher prevalence of SPD overall (PR = 1.75 [1.59-1.92]), 4 times the prevalence of SPD among Asian men (PR = 4.06 [1.57-10.50]), 2 times the prevalence of SPD among participants in at least good health (PR = 2.02 [95% CI: 1.74-2.35]), 92% higher prevalence of SPD among participants ≥ 50 years old (PR = 1.92 [1.70-2.18]), and approximately 3 times the prevalence of SPD among Hispanic/Latinx participants with household incomes ≥ $75,000 (PR = 2.97 [1.45-6.08]). CONCLUSIONS: Low nSC was associated with higher SPD in the overall population and the magnitude of the association was higher in Asian men, participants who reported good health, older participants, and Hispanic/Latinx adults with higher household incomes. Future research should continue to examine how neighborhood contexts can affect health across various sociodemographic groups, especially among groups with multiple marginalized social identities.

Incongruency of youth food and physical activity environments in the United States: Variations by region, rurality, and income.

Local environments are increasingly the focus of health behavior research and practice to reduce gaps between fruit/vegetable intake, physical activity (PA), and related guidelines. This study examined the congruency between youth food and PA environments and differences by region, rurality, and income across the United States. Food and PA environment data were obtained for all U.S. counties (N = 3142) using publicly available, secondary sources. Relationships between the food and PA environment tertiles was represented using five categories: 1) congruent-low (county falls in both the low food and PA tertiles), 2) congruent-high (county falls in both the high food and PA tertiles), 3) incongruent-food high/PA low (county falls in high food and low PA tertiles), 4) incongruent-food low/PA high (county falls in low food and high PA tertiles), and 5) intermediate food or PA (county falls in the intermediate tertile for food and/or PA). Results showed disparities in food and PA environment congruency according to region, rurality, and income (p < .0001 for each). Nearly 25% of counties had incongruent food and PA environments, with food high/PA low counties mostly in rural and low-income areas, and food low/PA high counties mostly in metropolitan and high-income areas. Approximately 8.7% of counties were considered congruent-high and were mostly located in the Northeast, metropolitan, and high-income areas. Congruent-low counties made up 10.0% of counties and were mostly in the South, rural, and low-income areas. National and regional disparities in environmental obesity determinants were identified that can inform targeted public health interventions.

Neighborhood Characteristics and the Mental Health of Caregivers Cohabiting with Care Recipients Diagnosed with Alzheimer's Disease.

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.

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States.

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.

Factors that Influence Parental Misperception of Their Child's Actual Weight Status in South Carolina.

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.

An ecological analysis of food outlet density and prevalence of type II diabetes in South Carolina counties.

BACKGROUND: Studies 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. METHODS: Pearson'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. RESULTS: We 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. CONCLUSIONS: This 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.