Introduction: Native Hawaiian people have higher rates of illness and death related to cardiovascular disease (CVD) than non-Hispanic White people. Research in other populations has shown that individual-level CVD risk factors (ie, high-fat diet, physical inactivity, obesity, and tobacco use) are associated with neighborhood characteristics (ie, social cohesion, walkability, availability of healthy food, and safety). This association has yet to be examined among Native Hawaiians.
Methods: We conducted a cross-sectional survey of community-dwelling Native Hawaiian people in 2020. Three multiple regression models and 1 logistic regression model were assessed. Each model included individual-level CVD risk factors, age, sex, education, income, and neighborhood characteristics.
Results: The regression models for body mass index (BMI) and physical activity showed significant results. The BMI model (R2 = 0.22, F = 4.81, P < .001) demonstrated that age, sex, education level, physical activity, and percentage of fat in the diet were significantly related to BMI. The availability of healthy foods had a significant, independent relationship with BMI (standardized β = -1.47, SE = 0.53, P = .01). The physical activity model (R2 = 0.21, F = 4.46, P < .001) demonstrated that age, sex, education, and BMI were significantly related to physical activity. None of the neighborhood characteristics had significant, independent relationships to physical activity.
Conclusions: We found that neighborhood-level factors improved the model's ability to explain variance in BMI. Efforts to decrease BMI would benefit from improving the availability of healthy foods in neighborhoods, a finding supported by research in other populations.
Introduction: Childhood dietary behaviors, including fruit and vegetable intake, are associated with adult health. Most children do not meet daily recommended servings of fruits and vegetables. Less is known about temporal patterns in fruit and vegetable consumption or if they vary by race and ethnicity. We investigated temporal patterns in fruit and vegetable intake among California school-age children and adolescents overall and by race and ethnicity.
Methods: We used 2-year cross-sectional datasets from the child and adolescent samples in the California Health Interview Surveys from 2011-2012 through 2019-2020 and modified Poisson regression models to estimate the likelihood of consuming 5 or more servings of fruits and vegetables in 2013-2016 and 2017-2020 compared with 2011-2012. Models controlled for age, race and ethnicity, gender, citizenship status, family income, and adult education and tested for differences by race and ethnicity. The samples included 16,125 children aged 5 to 11 years and 9,672 adolescents aged 12 to 17 years.
Results: Overall, 29.3% of children and 25.9% of adolescents reported intake of 5 or more fruits and vegetables per day. Among children, adjusted prevalence ratios (PR) of fruit and vegetable intake were higher in 2013-2016 (PR,1.25; 95% CI, 1.11-1.42) and 2017-2020 (PR,1.13; 95% CI, 0.99-1.30) compared with 2011-2012. Among adolescents, the adjusted prevalence did not differ significantly over time. We found no evidence of differential associations by race and ethnicity for children and adolescents.
Conclusion: We found favorable temporal changes in fruit and vegetable consumption among children, but not among adolescents. Monitoring temporal patterns in fruit and vegetable intake remains critical for planning population-level interventions to increase consumption.
To determine whether geographic differences in preconception health indicators exist among Ohio women with live births, we analyzed 9 indicators from the 2019-2021 Ohio Pregnancy Assessment Survey (N = 14,377) by county type. Appalachian women reported lower rates of folic acid intake and higher rates of depression than women in other counties. Appalachian and rural non-Appalachian women most often reported cigarette use. Suburban women reported lower rates of diabetes, hypertension, and unwanted pregnancy than women in other counties. Preconception health differences by residence location suggest a need to customize prevention efforts by region to improve health outcomes, particularly in regions with persistent health disparities.
Introduction: In 2018, the New Mexico Supplemental Nutrition Assistance Program-Education (SNAP-Ed NM) incorporated policy, systems, and environmental (PSE) strategies into the state plan to increase healthy eating and physical activity. Studies of multiple PSE strategies in elementary schools are lacking.
Methods: We conducted assessments of physical activity and nutrition environments at 11 elementary schools in New Mexico before and after schools were given school-specific PSE recommendations and technical assistance. Baseline data were collected in 2018 by using the School Physical Activity and Nutrition Environment Tool (SPAN-ET), which measures policy, situational, and physical environments in elementary schools. PSE scores were calculated as the proportion of criteria met within and across 27 areas of interest. Implementation of evidence-based PSE interventions began in 2019. COVID-19 school closures delayed follow-up assessments until 2022. We analyzed descriptive data to examine changes in PSE scores over time.
Results: Overall mean PSE scores increased significantly from baseline (53.6%) to follow-up (62.7%). Nutrition PSE scores significantly increased by 17.6 percentage points; the policy environment showed the largest improvement (+26.0 percentage points), followed by the situational environment (+13.8 percentage points), and physical environment (+9.1 percentage points). We found a nonsignificant increase in the overall average physical activity score (+2.7 percentage points).
Conclusion: Use of a standardized instrument for assessing implementation of PSE strategies across multiple schools showed significant overall improvement in nutrition scores and nonsignificant increases in physical activity scores. Providing school-specific recommendations combined with technical assistance may be an effective approach to implementing evidence-based nutrition and physical activity PSE strategies.
HIV has evolved from a serious infectious disease to a manageable chronic disease. Tobacco use has a devastating effect on the health of people living with HIV/AIDS (PLWH). The Michigan Tobacco Use Reduction Program for PLWH was established in 2015 to learn about tobacco use among PLWH, gather information on entities that provide health care services to PLWH, and improve tobacco treatment services for this population. The program offers evidence-based treatment interventions to all PLWH who are tobacco users, eligible for the Ryan White HIV/AIDS Program, and served by AIDS service organizations in Michigan. This evaluation had 3 primary outcomes: 1) rates of smoking and tobacco use among program clients, 2) the percentage of clients who made a quit attempt in the previous 12 months, and 3) the types of tobacco cessation methods used by clients. All data were self-reported in 3 surveys, one each in 2015, 2017, and 2021. The rate of cigarette smoking overall among clients decreased significantly from 49.5% in 2015 to 41.5% in 2017. The percentage of clients who made a quit attempt increased from 37.0% in 2015 to 41.9% in 2017; in 2021, this rate was 54.4%. By age, in all 3 survey years, the highest rate of tobacco use was among clients aged 35 to 44 years (range, 48.4%-57.4%). Smoking rates declined significantly from 2015 to 2017 among African American (50.5% to 42.8%) and White clients (49.8% to 39.9%). The most frequently used method of tobacco cessation was medications prescribed by a physician (range, 20%-30%). State tobacco control programs are encouraged to collaborate with their state HIV/AIDS bureaus to create similar programs to treat tobacco use among PLWH.