We examined multi-level factors related to the longitudinal physical activity trajectories of adolescent girls to determine the important predictors for physical activity. The Trial of Activity in ...Adolescent Girls (TAAG) Maryland site recruited participants at age 14 (n = 566) and followed up with these girls at age 17 (n = 553) and age 23 (n = 442). Individual, social factors and perceived environmental factors were assessed by questionnaire; body mass index was measured at age 14 and age 17, and self-reported at age 23. Neighborhood factors were assessed by geographic information systems. The outcome, moderate-to-vigorous physical activity (MVPA) minutes in a day, was assessed from accelerometers. A mixture of linear mixed-effects models with double penalization on fixed effects and random effects was used to identify the intrinsic grouping of participants with similar physical activity trajectory patterns and the most relevant predictors within the groups simultaneously. Three clusters of participants were identified. Two hundred and forty participants were clustered as "maintainers" and had consistently low MVPA over time; 289 participants were clustered as "decreasers" who had decreasing MVPA over time; 39 participants were grouped as "increasers" and had increasing MVPA over time. Each of the three clusters has its own cluster-specific factors identified using the clustering method, indicating that each cluster has unique characteristics.
Abstract Purpose This study examined the association between types of chronic health conditions reported during childhood and adolescence and their impact on educational attainment. School and ...neighborhood environments and potential mediating factors from academic and psychosocial variables were investigated. Methods Using the National Longitudinal Survey of Youth—Cohort 1997, multivariate logistic regression models were fit to estimate the association between chronic health conditions and educational attainment, adjusting for confounders. Chronic health conditions were defined as a parental (1997) or participant (2002) report of a chronic health condition and classified into (1) asthma; (2) cancer, diabetes, and epilepsy; (3) heart conditions; and (4) other. Educational attainment was defined as receiving a high school diploma or Graduate Equivalency Degree by age 21, determined from self-report. Results Youth who reported having a chronic health condition had higher odds of low educational attainment compared with youth who did not report a condition (n = 6,795; odds ratio OR, 1.47; 95% confidence interval CI, 1.22–1.76). Specifically, youth with asthma (OR, 1.63; 95% CI, 1.31–2.02) and those with cancer, diabetes, or epilepsy (OR, 1.96; 95% CI, 1.13–3.37) had higher odds of low attainment. For youth who reported cancer, diabetes, or epilepsy, the variables “school absences,” “repeated a grade,” and “depressive symptoms” attenuated the association and were considered mediators. Conclusions Youth with chronic health conditions had lower educational attainment. Students with cancer, diabetes, or epilepsy who had a high number of absences, had repeated a grade, or had a high-depressive symptoms score were particularly impacted.
Recent evidence links ambient air pollution to COVID-19 incidence, severity, and death, but few studies have analyzed individual-level mortality data with high quality exposure models.
We sought to ...assess whether higher air pollution exposures led to greater risk of death during or after hospitalization in confirmed COVID-19 cases among patients who were members of the Kaiser Permanente Southern California (KPSC) healthcare system (N=21,415 between 06-01-2020 and 01-31-2022 of whom 99.85 % were unvaccinated during the study period).
We used 1 km resolution chemical transport models to estimate ambient concentrations of several common air pollutants, including ozone, nitrogen dioxide, and fine particle matter (PM2.5). We also derived estimates of pollutant exposures from ultra-fine particulate matter (PM0.1), PM chemical species, and PM sources. We employed Cox proportional hazards models to assess associations between air pollution exposures and death from COVID-19 among hospitalized patients.
We found significant associations between COVID-19 death and several air pollution exposures, including: PM2.5 mass, PM0.1 mass, PM2.5 nitrates, PM2.5 elemental carbon, PM2.5 on-road diesel, and PM2.5 on-road gasoline. Based on the interquartile (IQR) exposure increment, effect sizes ranged from hazard ratios (HR) = 1.12 for PM2.5 mass and PM2.5 nitrate to HR ∼ 1.06–1.07 for other species or source markers. Humidity and temperature in the month of diagnosis were also significant negative predictors of COVID-19 death and negative modifiers of the air pollution effects.
Air pollution exposures and meteorology were associated the risk of COVID-19 death in a cohort of patients from Southern California. These findings have implications for prevention of death from COVID-19 and for future pandemics.
Objective
The aim of this study was to examine the prescribing patterns and use of antiobesity medications in a large cohort of patients using data from electronic health records.
Methods
Pharmacy‐ ...and patient‐level electronic health record data were obtained on 2,248,407 adults eligible for weight‐loss medications from eight geographically dispersed health care organizations.
Results
A total of 29,964 patients (1.3% of total cohort) filled at least one weight‐loss medication prescription. This cohort was 82.3% female, with median age 44.9 years and median BMI 37.2 kg/m2. Phentermine accounted for 76.6% of all prescriptions, with 51.7% of prescriptions being filled for ≥ 120 days and 33.8% filled for ≥ 360 days. There was an increase of 32.9% in medication days for all medications in 2015 compared with 2009. Higher prescription rates were observed in women, black patients, and patients in higher BMI classes. Of 3,919 providers who wrote at least one filled prescription, 23.8% (n = 863) were “frequent prescribers” who wrote 89.6% of all filled prescriptions.
Conclusions
Weight‐loss medications are rarely prescribed to eligible patients. Phentermine accounted for > 75% of all medication days, with a majority of patients filling it for more than 4 months. Less than one‐quarter of prescribing providers accounted for approximately 90% of all prescriptions.
To investigate the characteristics and risk factors of a novel parenchymal lung disease (LD), increasingly detected in systemic juvenile idiopathic arthritis (sJIA).
In a multicentre retrospective ...study, 61 cases were investigated using physician-reported clinical information and centralised analyses of radiological, pathological and genetic data.
LD was associated with distinctive features, including acute erythematous clubbing and a high frequency of anaphylactic reactions to the interleukin (IL)-6 inhibitor, tocilizumab. Serum ferritin elevation and/or significant lymphopaenia preceded LD detection. The most prevalent chest CT pattern was septal thickening, involving the periphery of multiple lobes ± ground-glass opacities. The predominant pathology (23 of 36) was pulmonary alveolar proteinosis and/or endogenous lipoid pneumonia (PAP/ELP), with atypical features including regional involvement and concomitant vascular changes. Apparent severe delayed drug hypersensitivity occurred in some cases. The 5-year survival was 42%. Whole exome sequencing (20 of 61) did not identify a novel monogenic defect or likely causal PAP-related or macrophage activation syndrome (MAS)-related mutations. Trisomy 21 and young sJIA onset increased LD risk. Exposure to IL-1 and IL-6 inhibitors (46 of 61) was associated with multiple LD features. By several indicators, severity of sJIA was comparable in drug-exposed subjects and published sJIA cohorts. MAS at sJIA onset was increased in the drug-exposed, but was not associated with LD features.
A rare, life-threatening lung disease in sJIA is defined by a constellation of unusual clinical characteristics. The pathology, a PAP/ELP variant, suggests macrophage dysfunction. Inhibitor exposure may promote LD, independent of sJIA severity, in a small subset of treated patients. Treatment/prevention strategies are needed.
Reducing cardiovascular disease disparities will require a concerted, focused effort to better adopt evidence-based interventions, in particular, those that address social determinants of health, in ...historically marginalized populations (ie, communities excluded on the basis of social identifiers like race, ethnicity, and social class and subject to inequitable distribution of social, economic, physical, and psychological resources). Implementation science is centered around stakeholder engagement and, by virtue of its reliance on theoretical frameworks, is custom built for addressing research-to-practice gaps. However, little guidance exists for how best to leverage implementation science to promote cardiovascular health equity. This American Heart Association scientific statement was commissioned to define implementation science with a cardiovascular health equity lens and to evaluate implementation research that targets cardiovascular inequities. We provide a 4-step roadmap and checklist with critical equity considerations for selecting/adapting evidence-based practices, assessing barriers and facilitators to implementation, selecting/using/adapting implementation strategies, and evaluating implementation success. Informed by our roadmap, we examine several organizational, community, policy, and multisetting interventions and implementation strategies developed to reduce cardiovascular disparities. We highlight gaps in implementation science research to date aimed at achieving cardiovascular health equity, including lack of stakeholder engagement, rigorous mixed methods, and equity-informed theoretical frameworks. We provide several key suggestions, including the need for improved conceptualization and inclusion of social and structural determinants of health in implementation science, and the use of adaptive, hybrid effectiveness designs. In addition, we call for more rigorous examination of multilevel interventions and implementation strategies with the greatest potential for reducing both primary and secondary cardiovascular disparities.
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