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Purpose: The purpose of this study was to determine the criterion validity of Activities Completed over Time (ACT24), an automated previous-day recall tool designed for mobile devices for 1) estimating sedentary versus active time compared with an activPAL, and 2) estimating time spent in activity domains (e.g., work, household, leisure) compared with direct observation (DO). Methods: Over a 7-d study period, 53 participants were sent invitations to complete three automated ACT24 recalls and to wear an activPAL device. A subset (N = 24) consented to two, 3-h video-recorded DO sessions. activPAL and ACT24 data were matched by date, and agreement for sedentary versus active time was compared between methods using paired t -tests for mean differences and spearman correlations. We compared DO and ACT24 results by domain for overall time use and separately for sedentary and active time using κ statistics and tested mean differences with linear mixed models. Results: Compared with the activPAL, the mean difference in ACT24 sedentary time was 1.9% (mean (95% confidence interval), −0.17 (−0.75 to 0.40) h·d−1), and the mean difference for ACT24 active time was 2.2% (0.14 (−0.32 to 0.60) h·d−1). Correlations were R = 0.61 (95% confidence interval, 0.39 to 0.76) and R = 0.65 (0.44 to0.78) for sedentary and active time, respectively. Domain-specific agreement was substantial for leisure-time, work, and shopping/errands (κ range, 0.63–0.79), moderate for transportation (κ = 0.49), and fair for personal care and household activities (κ = 0.24 and 0.33). ACT24 estimates of average time within each domain were not significantly different from DO. Conclusions: The present study confirms that ACT24 is accurate for group-level estimation of active and sedentary time. Domain-specific agreement tended to be higher for more commonly reported activities and those that were of longer duration. [ABSTRACT FROM AUTHOR]

Few studies have examined the influence of acculturation on dietary behaviors of young children while controlling for other demographic variables. The purpose of this study was to assess reported dietary intakes of preschool-aged children (3-5 years) and subsequent associations with caregivers' race/ethnicity, acculturation and demographic characteristics, using data from the 2007 California Health Interview Survey (CHIS). Analysis was restricted to Hispanic and non-Hispanic white caregivers and their preschool-aged children (n = 1,105). Caregivers' acculturation was assessed using place of birth, duration of United States residence, and language spoken at home. Proxy-reports by caregivers to a dietary screener were used to estimate children's intakes of fruit, 100% fruit juice, vegetables, sweets, and sugar-sweetened beverages consumed. In multivariate analyses, Hispanic caregivers reported their children consumed fewer servings of vegetables than did the children of non-Hispanic white caregivers; there were no other statistically significant differences in children's dietary intakes by caregivers' race/ethnicity. Caregivers' acculturation was associated with caregiver-reported consumption of sweets by children (β = 0.09, 95%CI = 0.01-0.18). Demographic characteristics that were associated with reported dietary intakes of children included caregivers' age, education, and geographic region of residence. In contrast to past studies of acculturation and diet in older children and adults, this study suggests that for 3-5 year olds, caregivers' level of acculturation does not play as strong a role in the dietary intakes of the younger children under their care. [ABSTRACT FROM AUTHOR]

The article investigates whether the intensity and duration of sports and exercise bouts differ across physical and social environments. It is found that vigorous-intensity exercise usually occurs when the exercise bout is done alone as compared with other social conditions and when it is done at a gym, health club or at home as compared with outdoors. It is also found that exercise bouts were shorter when exercising alone versus with family members, friends and acquaintances. For this reason, it is concluded that intensity and duration of exercise bouts are differentially affected by social contexts and physical settings.

To determine whether enzyme activity is correlated with physiological performance, we analysed the relationship between routine metabolic rate and published data on activity of 12 enzymes from nine species of Drosophila. The enzymes are involved in several aspects of intermediary metabolism including glycolysis. Multiple regression on phylogenetically independent contrasts revealed significant and positive correlations between in vitro enzyme activity and routine metabolic rate. The regression analysis included body size and locomotor activity level as covariates. This result suggests that there may be energetic costs associated with increased enzyme capacity. [ABSTRACT FROM AUTHOR]

Summary: Given the high and growing prevalence of obesity among adults in the United States, obesity treatment and prevention are important topics in biomedical and public health research. Although researchers recognize the significance of this problem, much remains unknown about safe and effective prevention and treatment of obesity in adults. In response to the worsening obesity epidemic and the many unknowns regarding the disease, a group of key scientific and program staff members of the National Institutes of Health (NIH) and other federal and non‐government agencies gathered virtually in September 2021 to discuss the current state of obesity research, research gaps, and opportunities for future research in adult obesity prevention and treatment. The current article synthesizes presentations given by attendees and shares their organizations' current initiatives and identified gaps and opportunities. By integrating the information discussed in the meeting and current initiatives, we identify potential targets and overlapping priorities for future research, including health equity and disparities in obesity, the heterogeneity of obesity, and the use of technological and innovative approaches in interventions. [ABSTRACT FROM AUTHOR]

Resumen: En respuesta al aumento de las tasas de obesidad infantil, Estados Unidos y algunos países de Latinoamérica han financiado numerosos estudios que analizan estrategias e intervenciones innovadoras. A pesar de ello, los avances han sido lentos, irregulares y esporádicos, lo cual demuestra la necesidad de intensificar el intercambio de conocimientos y la colaboración en la investigación para acelerar la adaptación e implementación de intervenciones prometedoras en el campo de la obesidad infantil. Con la intención de compartir resultados de estudios, problemas y estrategias de intervención de probada eficacia entre los investigadores latinoamericanos y estadounidenses (especialmente los que trabajan con poblaciones latinas y latinoamericanas), los National Institutes of Health (NIH) reunieron a investigadores de Estados Unidos y Latinoamérica para destacar las sinergias entre los estudios de Latinoamérica y los realizados en poblaciones latinas de Estados Unidos. El fin último de esta iniciativa fue catalizar nuevas relaciones e identificar preguntas y estrategias comunes para la investigación. Este artículo se centra en la investigación y las prioridades de los NIH en materia de prevención de la obesidad infantil, así como en las áreas para futuras acciones, incluidos los planes generales de los NIH y las inversiones de sus institutos, centros y oficinas en áreas concretas relacionadas con la prevención de la obesidad infantil en Latinoamérica y en las poblaciones latinas de Estados Unidos. [ABSTRACT FROM AUTHOR]

Background: Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria for classifying ICATUS activities into sleep, sedentary behaviour (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), based on expert assessment. Method: We classified activities from the Trial ICATUS 2005 and final ICATUS 2016. One author assigned METs and codes for wakefulness status and posture, to all subclass activities in the Trial ICATUS 2005. Once coded, one author matched the most detailed level of activities from the ICATUS 2016 with the corresponding activities in the Trial ICATUS 2005, where applicable. The assessment and harmonisation of each ICATUS activity were reviewed independently and anonymously by four experts, as part of a Delphi process. Given a large number of ICATUS activities, four separate Delphi panels were formed for this purpose. A series of Delphi survey rounds were repeated until a consensus among all experts was reached. Results: Consensus about harmonisation and classification of ICATUS activities was reached by the third round of the Delphi survey in all four panels. A total of 542 activities were classified into sleep, SB, LPA, and MVPA categories. Of these, 390 activities were from the Trial ICATUS 2005 and 152 activities were from the final ICATUS 2016. The majority of ICATUS 2016 activities were harmonised into the ICATUS activity groups (n = 143). Conclusions: Based on expert consensus, we developed a classification system that enables ICATUS-based time-use data to be classified into sleep, SB, LPA, and MVPA categories. Adoption and consistent use of this classification system will facilitate standardisation of time-use data processing for the purpose of sleep, SB and physical activity research, and improve between-study comparability. Future studies should test the applicability of the classification system by applying it to empirical data. [ABSTRACT FROM AUTHOR]

Background: The last few years have seen renewed interest in use-of-time recalls in epidemiological studies, driven by a focus on the 24-h day [including sleep, sitting, and light physical activity (LPA)] rather than just moderate-vigorous physical activity (MVPA). This paper describes four different computerised use-of-time instruments (ACT24, PAR, MARCA and cpar24) and presents population time-use data from a collective sample of 8286 adults from different population studies conducted in Australia/New Zealand, Germany and the United States.Methods: The instruments were developed independently but showed a number of similarities: they were self-administered through the web or used computer-assisted telephone interviews; all captured energy expenditure using variants of the Ainsworth Compendium; each had been validated against criterion measures; and they used a domain structure whereby activities were aggregated under categories such as Personal Care and Work.Results: Estimates of physical activity level (average daily rate of energy expenditure in METs) ranged from 1.53 to 1.78 in the four studies, strikingly similar to population estimates derived from doubly labelled water. There was broad agreement in the amount of time spent in sleep (7.2-8.6 h), MVPA (1.6-3.1 h), personal care (1.6-2.4 h), and transportation (1.1-1.8 h). There were consistent sex differences, with women spending 28-81% more time on chores, 8-40% more time in LPA, and 3-39% less time in MVPA than men.Conclusions: Although there were many similarities between instruments, differences in operationalizing definitions of sedentary behaviour and LPA resulted in substantive differences in the amounts of time reported in sedentary and physically active behaviours. Future research should focus on deriving a core set of basic activities and associated energy expenditure estimates, an agreed classificatory hierarchy for the major behavioural and activity domains, and systems to capture relevant social and environmental contexts. [ABSTRACT FROM AUTHOR]

Background: Behaviour has diverse economic, social and health consequences. Linking time spent in different daily activities to energy expenditure (EE) is one way of investigating the health and physiological consequences of behaviour and identifying targets to improve population health and well-being.Methods: We estimated behaviour-related EE for respondents to time use surveys (TUS) from three countries: UK 2001, Poland 2012 and US 2003-13. The Harmonised Multinational Time Use Survey (MTUS) activity categories were matched to MET estimates from the 2011 Compendium of Physical Activities. We attach METs values to each successive activity in the TUS, together with both the original UK, Polish and US activity classifications and the 68-category MTUS activity classification. We used TUS estimates of activity durations across 24-h to estimate the Physical Activity Level (PAL) for respondents from the three countries and the average time spent and MET values for different activity categories.Results: PAL values ranged from 1.59 in the US to 1.74 in Poland. The main sources of daily EE from PA were paid and unpaid work activities. Discretionary PA accounted for only a very small part (~ 3%) of adult daily energy expenditures. Using the harmonised MTUS 68-activity classification reduced the variability of the aggregate PAEE measure by ~ 20%, but the patterns of association between key demographics (age, sex, educational attainment) were unaffected. TUS data were further used to (1) identify sources of daily PA, and (2) assess adherence to physical activity guidelines (PAG) on a single-day basis. Estimated adherence levels were similar to those reported from other TUS as well as frequency based estimates.Conclusions: Comparative studies of energy expenditure based on harmonised time use activity categories could provide insight into the relative importance of different activities for energy expenditure across different countries and demographic groups. However, new observational studies combining TUS data with accelerometer, direct observation and other measures of activity intensity are required for more accurate MET assignments to activity categories in TUS. [ABSTRACT FROM AUTHOR]

This systematic economic review examined the cost–benefit and cost-effectiveness of park, trail, and greenway infrastructure interventions to increase physical activity or infrastructure use. The search period covered the date of inception of publications databases through February 2022. Inclusion was limited to studies that reported cost–benefit or cost-effectiveness outcomes and were based in the U.S. and other high-income countries. Analyses were conducted from March 2022 through December 2022. All monetary values reported are in 2021 U.S. dollars. The search yielded 1 study based in the U.S. and 7 based in other high-income countries, with 1 reporting cost-effectiveness and 7 reporting cost–benefit outcomes. The cost-effectiveness study based in the United Kingdom reported $23,254 per disability-adjusted life year averted. The median benefit-to-cost ratio was 3.1 (interquartile interval=2.9–3.9) on the basis of 7 studies. The evidence shows that economic benefits exceed the intervention cost of park, trail, and greenway infrastructure. Given large differences in the size of infrastructure, intervention costs and economic benefits varied substantially across studies. There was insufficient number of studies to determine the cost-effectiveness of these interventions. [ABSTRACT FROM AUTHOR]

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 (β [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. [ABSTRACT FROM AUTHOR]

Background: Housing is a major social determinant of health that affects health status and outcomes across the lifespan. Objectives: An interagency portfolio analysis assessed the level of funding invested in "health and housing research" from fiscal years (FY) 2016–2020 across the National Institutes of Health (NIH), the United States Department of Housing and Urban Development (HUD), and the Centers for Disease Control and Prevention (CDC) to characterize the existing health and housing portfolio and identify potential areas for additional research and collaboration. Methods/Results: We identified NIH, HUD, and CDC research projects that were relevant to both health and housing and characterized them by housing theme, health topic, population, and study design. We organized the assessment of the individual housing themes by four overarching housing-to-health pathways. From FY 2016–2020, NIH, HUD, and CDC funded 565 health and housing projects combined. The Neighborhood pathway was most common, followed by studies of the Safety and Quality pathway. Studies of the Affordability and Stability pathways were least common. Health topics such as substance use, mental health, and cardiovascular disease were most often studied. Most studies were observational (66%); only a little over one fourth (27%) were intervention studies. Discussion: This review of the research grant portfolios of three major federal funders of health and housing research in the United States describes the diversity and substantial investment in research at the intersection between housing and health. Analysis of the combined portfolio points to gaps in studies on causal pathways linking housing to health outcomes. The findings highlight the need for research to better understand the causal pathways from housing to health and prevention intervention research, including rigorous evaluation of housing interventions and policies to improve health and well-being. [ABSTRACT FROM AUTHOR]

BACKGROUND: National adherence to the recess recommendations of the Centers for Disease Control and Prevention (CDC) has not been comprehensively studied in the United States. METHODS: Data from 6 nationally representative data sets over the last decade (Classification of Laws Associated with School Students, Early Childhood Longitudinal Study, National Health and Nutrition Examination Survey, National Youth Fitness Survey, School Health Policies and Practices Survey, and the School Nutrition and Meal Cost Study) provided estimates for adherence to CDC recess guidelines. RESULTS: While approximately 65‐80% of elementary school‐children receive the recommended 20+ minutes of daily recess according to parent‐, principal‐, and school‐report, adherence declines by sixth grade, and little information is available for middle/high school students. Adherence to playground safety was high (90%), but adherence to recommendations about recess before lunch (<50%), withholding recess as punishment (∼50%), and training recess staff (<50%) were lower. CONCLUSIONS: School policy and practice should align with CDC recommendations, with the aim of providing sufficient quality recess to all youth, K‐12th grade. Comprehensive, on‐going national surveillance of multiple recess domains is needed to inform policy and ensure equitable provision of recess. [ABSTRACT FROM AUTHOR]