Longitudinal associations of screen time, physical activity, and sleep duration with body mass index in U.S. youth.

BACKGROUND: Youth use different forms of screen time (e.g., streaming, gaming) that may be related to body mass index (BMI). Screen time is non-independent from other behaviors, including physical activity and sleep duration. Statistical approaches such as isotemporal substitution or compositional data analysis (CoDA) can model associations between these non-independent behaviors and health outcomes. Few studies have examined different types of screen time, physical activity, and sleep duration simultaneously in relation to BMI. METHODS: Data were baseline (2017-2018) and one-year follow-up (2018-2019) from the Adolescent Brain Cognitive Development Study, a multi-site study of a nationally representative sample of U.S. youth (N = 10,544, mean [SE] baseline age = 9.9 [0.03] years, 48.9% female, 45.4% non-White). Participants reported daily minutes of screen time (streaming, gaming, socializing), physical activity, and sleep. Sex-stratified models estimated the association between baseline behaviors and follow-up BMI z-score, controlling for demographic characteristics, internalizing symptoms, and BMI z-score at baseline. RESULTS: In females, isotemporal substitution models estimated that replacing 30 min of socializing (ß [95% CI] = -0.03 [-0.05, -0.002]), streaming (-0.03 [-0.05, -0.01]), or gaming (-0.03 [-0.06, -0.01]) with 30 min of physical activity was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing (-0.03 [-0.05, -0.01]), streaming (-0.02 [-0.03, -0.01]), or gaming (-0.02 [-0.03, -0.01]) with 30 min of sleep was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing with 30 min of gaming was associated with a lower follow-up BMI z-score (-0.01 [-0.03, -0.0001]). CoDA estimated that in males, a greater proportion of time spent in baseline socializing, relative to the remaining behaviors, was associated with a higher follow-up BMI z-score (0.05 [0.02, 0.08]). In females, no associations between screen time and BMI were observed using CoDA. CONCLUSIONS: One-year longitudinal associations between screen time and BMI may depend on form of screen time, what behavior it replaces (physical activity or sleep), and participant sex. The alternative statistical approaches yielded somewhat different results. Experimental manipulation of screen time and investigation of biopsychosocial mechanisms underlying the observed sex differences will allow for causal inference and can inform interventions.

Urinary Incontinence in Primary Care-The Gap Between Recommendations and Real World.

IMPORTANCE: Routine screening for urinary incontinence (UI) by primary care providers (PCPs) is recommended. OBJECTIVES: We aimed to describe the rate of incident UI diagnosed at annual PCP visits, the prevalence of UI in a large primary care population, and estimate the rate of screening for UI during primary care preventive and annual wellness visits. Secondary aims were to describe PCP knowledge and behavior as they relate to UI screening and diagnosis. STUDY DESIGN: The electronic health record was used to abstract the number of adult female patients seen by PCPs within a regional health system with a diagnosis of UI before our study period and with a new diagnosis over a 2-year period. Additional new diagnoses and screening practices were found on chart review of an additional 824 representative charts. Primary care providers within the health system were surveyed about their screening practices and knowledge about UI. RESULTS: There were 192,053 women primary care patients seen over 2 years. A total of 5.7% had a UI diagnosis preceding the study period and 3.4% had a UI diagnosis during the study period. A total of 42% of PCPs reported that they screen for UI at least half the time and none were completely satisfied with their ability to screen for UI. Sixteen percent of annual wellness visits had any documentation of screening for UI. CONCLUSION: In a large primary care population, screening for and detection of UI in women was low.