American Journal of Preventive Medicine最新文献

Introduction: Schools can support students' participation in physical activity by offering opportunities consistent with a Whole-of-School (WOS) approach; however, the extent to which physical activity opportunities are provided and how school-level characteristics associate with their use remains unclear. This study examined how elementary schools' use a WOS approach to promote physical activity, as well as associations between school-level characteristics and physical activity opportunities provided.

Methods: Survey data was collected from 162 elementary schools participating in the NFL PLAY 60 FitnessGram Project during the 2022-2023 school year. A WOS index (ranging from 0 to 12) was created from responses by school staff on questions about 6 physical activity practices (physical education, recess, before- and after-school programs, classroom-based approaches, active transport). Multivariable regression models examined associations between school characteristics and WOS index scores. Analyses were completed in Spring 2024.

Results: Fully adjusted models indicated a statistically significant difference between the percentage of economically disadvantaged students served and WOS index score. Schools serving between 20% and 39% (p<0.001), 40%-59% (p<0.01), 60%-79% (p<0.01) and ≥80% (p<0.001) economically disadvantaged students scored significantly lower on the WOS index compared to schools with 0%-19% economically disadvantaged students.

Conclusions: Studies are needed to examine disparities in physical activity practices consistent with a WOS approach to understand the implications on health, academic performance, and other key outcomes. This information can inform the development of strategies to address disparities and ensure youth have equitable access to school-based physical activity opportunities.

Introduction: Data on adverse childhood experiences are key to understanding their burden and informing prevention programs and strategies. Population-based surveys that collect adverse childhood experiences data may be affected by item nonresponse. This study examines differences in nonresponse to the optional Behavioral Risk Factor Surveillance System adverse childhood experiences module overall, by sociodemographic characteristics, by year, and by question.

Methods: This study used Behavioral Risk Factor Surveillance System adverse childhood experiences module data from 21 states in 2019 and 16 states in 2021. Weighted proportions and 95% CIs of responders and nonresponders to the adverse childhood experiences module by year and sociodemographic characteristics and percentages of nonresponders for each question were calculated. Chi-square tests were used to assess statistically significant (p<0.05) differences. Analyses were conducted in 2023.

Results: In 2019 and 2021, 1.2% (95% CI=1.1, 1.4) and 2.4% (95% CI=2.2, 2.5) of Behavioral Risk Factor Surveillance System participants were nonresponders to the adverse childhood experiences module, respectively (p<0.01). Nonresponders were more likely to be non-Hispanic Black (p=0.01) or non-Hispanic Asian (p=0.01), to be unemployed (p<0.01), to have income <$15,000 (p<0.01), or to report poor health (p<0.01) than responders. Nonresponse by question increased as the module progressed, and nonresponse was highest for sexual abuse questions.

Conclusions: Overall, findings demonstrate that individuals are willing to respond to the adverse childhood experiences module questions. Although low, nonresponse to the module increased from 2019 to 2021. Higher nonresponse for sexual abuse questions may be due to their sensitivity or potential survey fatigue due to placement at the end of the module. Higher nonresponse among racial/ethnic minorities and economically disadvantages groups highlights opportunities to improve existing surveillance systems.

Introduction: For high-risk women, breast magnetic resonance (MR) is the preferred supplemental imaging option, but spatial access differences may exacerbate disparities in breast care.

Methods: This was a cross-sectional study examining distance between ZIP codes and the nearest breast imaging facility (MR, mammography, ultrasound) using 2023 data from the Food and Drug Administration and the American College of Radiology. Linear regression was used to assess distance differences controlling for Area Deprivation Index (ADI), urbanicity, and population size. Analyses were conducted in 2024.

Results: Among the 29,629 ZIP codes with an ADI and known urbanicity, unadjusted mean distance to breast MR was 23.2±25.1 miles (SD) compared with 8.2±8.3 for mammography and 22.2±25.0 for ultrasound. Hence, the average distance to breast MR facilities was 2.8 times further than to mammography facilities. ADI and urbanicity were associated with increased distance to the nearest breast imaging facility. The additional miles associated with the least advantaged areas compared with most advantaged areas was 12.2 (95%CI: 11.3, 13.2) for MR, 11.5 miles (95%CI: 10.6, 12.3) for ultrasound, and 2.4 (95%CI: 2.1, 2.7) for mammography. Compared with metropolitan areas, the additional miles to breast MR facilities was 23.2 (95%CI: 22.5, 24.0) for small/rural areas.

Conclusions: Spatial access is substantially better for mammography sites compared with breast MR or ultrasound sites. Given these findings, consideration of options to mitigate the impact of differential access should be considered. For example, mammography sites could offer contrast-enhanced mammography. Future research should examine the feasibility and effectiveness of this and other options.

The American Lung Association's "State of the Air" 2023 report reveals almost 36% of Americans live with unhealthy levels of air pollution. Studies link air pollution with acute respiratory symptoms and exacerbation of respiratory and cardiovascular diseases. Differential air pollution exposures between white and nonwhite communities are significant components of environmental injustices. Even during the coronavirus disease 2019 (COVID-19) lockdown, when the United States experienced significant decreases in polluting activities, these differences persisted. The American College of Preventive Medicine's Science and Translation Committee conducted a nonsystematic literature review to explore initiatives addressing air pollution as a key component of environmental justice, the state of the science regarding health impacts, and evidence supporting mitigations to reduce those impacts. We recommend advocacy for cleaner energy sources and increasing green space; and increasing research, surveillance, and education and training on linkages between air pollutants and health. We recommend preventive medicine physicians raise awareness about increased risks of cardiovascular disease, cancer, asthma, and reduced lung function with air pollution exposure. Preventive medicine physicians may also educate patients and other practitioners about exposures, and how "conventional" disease prevention strategies may have unintended consequences; and influence healthcare leaders to improve efficiency and reduce emissions. We also recommend physicians utilize social determinants of health Z-Codes to capture environmental factors. Private payers should incorporate pollution exposure data into social determinants of health risk adjustments for Medicare Advantage programs. Medicaid agencies should develop provider recommendations for pediatric populations, and states should finance in-home interventions for asthma.

Introduction: It is unclear whether moderate-to-vigorous physical activity (MVPA) is associated with a lower mortality risk, over and above its contribution to total physical activity volume.

Methods: 46,682 adults (mean age: 64 years) were included in a meta-analysis of nine prospective cohort studies. Each cohort generated tertiles of accelerometry-measured physical activity volume and volume-adjusted MVPA. Hazard ratios (HR, with 95% confidence intervals) for mortality were estimated separately and in joint models combining volume and MVPA. Data was collected between 2001 and 2019 and analyzed in 2023.

Results: During a mean follow-up of 9 years, 4,666 deaths were recorded. Higher physical activity volume, and a greater contribution from volume-adjusted MVPA, were each associated with lower mortality hazard in multivariable-adjusted models. Compared to the least active tertile, higher physical activity volume was associated with a lower mortality (HRs: 0.62; 0.58, 0.67 and 0.50; 0.42, 0.60 for ascending tertiles). Similarly, a greater contribution from MVPA was associated with a lower mortality (HRs: 0.94; 0.85, 1.04 and 0.88; 0.79, 0.98). In joint analysis, a lower mortality from higher volume-adjusted MVPA was only observed for the middle tertile of physical activity volume.

Conclusions: The total volume of physical activity was associated with a lower risk of mortality to a greater extent than the contribution of MVPA to physical activity volume. Integrating any intensity of physical activity into daily life may lower mortality risk in middle-aged and older adults, with a small added benefit if the same amount of activity is performed with a higher intensity.

Introduction: Physical inactivity and sedentary behavior are recognized as independent risk factors for many diseases. However, studies investigating their associations with total and cause-specific mortality in low-income and Black populations are limited, particularly among older adults.

Methods: A prospective cohort study was conducted among 8,337 predominantly low-income and Black Americans aged ≥65 years residing in the southern United States. Participants reported their daily sitting time and leisure-time physical activity (LTPA) at baseline (2002-2009), and mortality data were collected through 2019. Analysis was conducted from September 2022 to October 2023.

Results: During a median follow-up of 12.25 years, nearly 50% (n=4,111) were deceased. A prolonged sitting time (>10 hours/day versus <4 hours/day) was associated with elevated all-cause mortality (hazard ratios [HR], 1.15; 95% confidence intervals [CI], 1.04-1.27) after adjusting for LTPA and other potential confounders. LTPA was associated with a reduced risk of all-cause mortality, with an adjusted HR of 0.75 (95% CI 0.64, 0.88) associated with 150-300 minutes per week of moderate-intensity physical activity. Individuals who were physically inactive and had a sitting time of >10 hours/day had the highest mortality risk (HR, 1.48; 95% CI, 1.23-1.78), compared with those who were physically active and had low sitting time. These associations were more pronounced for mortality due to cardiovascular diseases.

Conclusions: High sitting time is an independent risk factor for all-cause and cardiovascular disease mortality, and LTPA could partially attenuate the adverse association of prolonged sitting time with mortality.

Introduction: Routine alcohol screening of people with chronic health conditions that are exacerbated by alcohol can help to prevent morbidity and mortality. The U.S. Affordable Care Act and other recent health reforms expanded insurance coverage and supported alcohol screening in primary care. This study assessed increases in alcohol screening following health reform and insurance-related and racial and ethnic disparities in screening.

Methods: Data are from the 2013 to 2019 National Surveys on Drug Use and Health for adults with alcohol-related chronic conditions who received primary care in the past year (N=46,014). The outcome was receipt of alcohol screening (yes/no) in which a healthcare provider inquired whether, how often, or how much the respondent drank, or about having alcohol-related problems. Multivariable logistic regression models assessed temporal changes in screening overall and by insurance type and race/ethnicity, adjusting for demographics, health conditions, and primary care utilization. Statistical analysis was performed in 2023.

Results: Alcohol screening prevalence rose from 69% to 77% from 2013 through 2019, with a notable increase in 2014-2015 for both Medicaid-insured and privately-insured patients. Black and Asian American patients were generally less likely to be screened than White patients. Importantly, racial disparities in screening were found among privately-insured patients, patients with hypertension, patients with heart disease, and patients with diabetes who drink alcohol.

Conclusions: Alcohol screening of primary care patients with chronic conditions increased following health reform, but persistent disparities among patients with private insurance and specific chronic conditions underscore the need to address drivers of unequal preventive care.

Introduction: Effective patient-provider communication is a critical component of optimal patient care, but its potential impact on the delivery of healthcare services remains unclear. This study examines the association of patient-provider communication with access to care, healthcare utilization, and financial burden of care.

Methods: Using the 2013-2021 Medical Expenditure Panel Survey longitudinal data, the level of patient-provider communication was measured across four domains (attentive listening, clear explanation, respectfulness, and time allocation) as a primary independent variable, categorized into low, moderate, and high. A lagged dependent model was employed to examine the associations of patient-provider communication at baseline with subsequent access to care, healthcare utilization, and financial burden of care, controlling for baseline sample characteristics and outcomes measured at the baseline. Analysis was conducted in February 2024.

Results: Among 28,955 analytic samples (representing 709,547,678 U.S. adults), 5.3%, 50.2%, and 44.3% reported low, moderate, and high levels of patient-provider communication. Marginalized populations, including racial/ethnic minorities, those with low education and income, and those lacking insurance, were more likely to report low patient-provider communication. Compared with adults with high patient-provider communication, those with low patient-provider communication were more likely to encounter difficulties in accessing medical care (2.6 percentage points; 95% CI: 1.2-3.9), experience delays in obtaining necessary medical care (2.8 percentage points; 1.3-4.4), have emergency room visits (4.2 percentage points; 1.9-6.4), and face difficulties paying medical bills (4.0 percentage points; 2.2-5.8) in the subsequent year.

Conclusions: Encouraging effective patient-provider communication is essential for advancing patient-centered care and mitigating health inequities.

Introduction: Prior work has found incongruencies in injury information reported by crash and hospital records. However, no work has focused on child passengers. The objective of this study was to compare crash scene and hospital-reported injury information for crash-involved child passengers. This study also explored injury location and severity by child age and restraint type.

Methods: Utilizing linked New Jersey data from 2017 through 2019, the authors identified crash-involved child passengers <13 years old and their injuries in crash and hospital reports. Then, they characterized the congruency of injury frequency, severity, and location, as well as the frequency of injuries by child age and restraint type. Analyses were conducted from December 2023 through February 2024.

Results: Of 84,060 crash-involved child passengers, crash reports documented 7,858 (9%) children with at least "possible" injuries, while 2,577 (3%) had at least one injury in hospital events. Crash report and hospital data were incongruent for both body region of injury and injury severity. The proportion of children injured increased as children's ages increased and as restraint type progressed.

Conclusions: Crash reports overestimated the number of injured child passengers and misrepresented injury severity and locations. Child restraint systems mitigated a child's injury risk. Importantly, injury information documented on crash reports currently informs the allocation of traffic safety resources. These results highlight the importance of improving these reports' accuracy and underscore calls to link administrative datasets for public health efforts.