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Background: Health coaching sessions that incorporate goal setting may help improve college students' health behaviors. Purpose: This study examined whether specific goal-setting practices moderated changes in health behaviors during an online wellness intervention in college students. Methods: Participants were 90 college students recruited from one US university. The intervention was a one-hour virtual one-on-one health coaching session where participants set two goals for either physical activity (Metabolic Equivalent Task (MET)-minutes or MET-minutes), nutrition, sleep, or stress management. Self-reported baseline behaviors were collected, and follow-up surveys were completed at 6- and 12-weeks. Mixed effects models examined behavior change outcomes across the follow-up timepoints while testing the moderating effect of goal setting using interactions. Results: The Goal×Time interaction was significant for moderate MET-minutes at 1st follow-up (b = 443, p =.003), and for total MET-minutes at the 2nd follow-up (b = 717, p =.047). The Goal×Time interaction was also significant for stress management at 1st follow-up (Odds Ratio = 7.3, p =.042). Discussion: Participants who set physical activity and stress management goals had significantly higher physical activity and utilized more stress management techniques. Translation to Health Education Practice: The use of specific goal-setting strategies for physical activity and stress management is recommended during online health coaching sessions. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI) . [ABSTRACT FROM AUTHOR]

Physical activity (PA) is a critical factor in maintaining mental health, particularly among college students who are vulnerable to stress, anxiety, and mood disturbances. The COVID‐19 pandemic introduced unprecedented disruptions to daily routines. The purpose of this cohort study was to examine the longitudinal PA behaviors before and during COVID‐19 using device‐based assessment in a sample of college students. The participants were a convenience sample of 1‐year college students from the University of Vermont Wellness Environment study. A daily survey was distributed to the participants every night on a study app measured three mental health outcomes of mood, anxiety, and stress for 16 weeks. Participants wore Apple Watches to monitor PA. A total of 167 participants completed at least 50% of daily surveys and had 20 days of valid Apple Watch data, which resulted in 11 387 participant‐days' of observations. Changes in average daily moderate‐to‐vigorous physical activity (MVPA) and step counts were examined week‐over‐week from an 8‐week period before COVID to an 8‐week period during COVID using cluster‐robust piecewise regression (16‐weeks total). Linear mixed models examined the association between PA and mental health outcomes, while also examining the moderating influence of COVID phase. Significantly lower MVPA was observed from the end of pre‐COVID to start of COVID by −18.2 min/day (p < 0.001) and significantly fewer steps/day was observed from end of pre‐COVID to start of COVID by −3277 steps/day (p < 0.001). An MVPA "catch‐up" effect was observed as there were small but positive week‐over‐week improvements during COVID for MVPA (b = 1.32 min/day, p < 0.001). The influence of COVID‐19 phases had a notable impact on the relationships between PA/exercise and mental health outcomes. A discernible trend emerged, indicating stronger connections during the COVID period for anxiety and stress compared to the pre‐COVID era. Interestingly, the moderating effect of COVID was opposite for mood and exercise. The COVID‐19 pandemic led to a dramatic decline in PA among college students, coinciding with a period of heightened stress and anxiety. Despite a slight recovery in PA levels during the pandemic, the strengthened association between exercise and anxiety/stress during this time underscores the vital role of PA in promoting mental health. These findings highlight the importance of implementing behavior change strategies to maintain and promote student wellbeing. [ABSTRACT FROM AUTHOR]

Adolescents' physical activity (PA) and sports participation declined due to the COVID-19 pandemic. This study aimed to determine the critical socio-ecological factors for PA and sports participation using a machine learning approach. We did a cross-sectional secondary data analysis utilising the 2021 National Survey of Children's Health (NSCH) dataset (N=16,166; 49.0% female). We applied an interpretable machine learning approach (e.g. decision tree-based models) that examined the critical factors associated with PA and sports participation. The factors related to the intrapersonal, interpersonal, organisational, and community levels of the socio-ecological model. Out of the 25 factors examined, our findings unveiled the 11 critical factors associated with PA and the 10 critical factors associated with sports participation. Factors at the intrapersonal levels (e.g. age, screen time, and race) held greater importance to PA than those at the other three levels. While interpersonal factors (e.g. parent participation in children's events/activities, family's highest educational level, and family income level) were most important for sports participation. This study identified that the common critical factors of physical activity and sports participation during the COVID-19 pandemic mainly relied on intrapersonal and interpersonal levels. Unique factors were discussed. Summary: In this study, we identified 11 critical factors for PA, with the top five being age, neighbourhood amenities, screen time, missed school days, and family income level. Additionally, we identified 10 critical factors for sports participation, with the top five factors being parent participation in a child's events/activities, family's highest educational level, family income level, screen time, and school engagement. These findings emphasise the shared significance of intrapersonal and interpersonal factors as common determinants of both PA and sports participation. Notably, PA appears to be primarily influenced by intrapersonal factors (e.g. age, screen time, and race), reflecting its more internally driven nature. In contrast, sports participation appears to be more externally driven, primarily shaped by interpersonal factors (e.g. parent participation in the child's events/activities, family's highest educational level, and family income level). This distinction underscores the need for educators and policymakers to carefully consider these common and unique factors when devising promotion strategies during the COVID-19 pandemic. By recognising these distinctions, interventions can be better tailored to encourage both PA and sports participation among adolescents. [ABSTRACT FROM AUTHOR]

The purpose of this study was to determine the dose–response associations between Monitor‐Independent Movement Summary (MIMS) units and health‐related fitness in youth. The sample comprised US children and adolescents who participated in the 2012 National Youth Fitness Survey (NNYFS; N = 1158, 48.9% female). Health‐related fitness domains were assessed using tests of cardiorespiratory endurance (timed maximal and graded treadmill tests), muscular strength (modified pull‐up and grip tests), and muscular endurance (plank test). Movement data were collected using wrist‐worn ActiGraph accelerometers with raw data processed using MIMS and the calculated metrics of average MIMS/day, Peak 60‐min MIMS, and Peak 30‐min MIMS. Weighted regression models examined linear associations between MIMS metrics and fitness test scores. Nonlinear associations were examined using weighted spline models with knots placed at the 10th, 50th, and 90th percentiles. Models were adjusted for covariates and fit was examined using the coefficient of determination (R2). The strongest adjusted linear relationships included a positive association between MIMS/day (per every 1000 units) and maximal endurance times (b = 5.5 s, p < 0.001) and between Peak 60‐min MIMS (per every 10 units) and estimated aerobic capacity (b = 1.7 mL/kg/min, p < 0.001), modified pull‐ups (b = 0.7 reps, p < 0.001), and plank test scores (b = 5.0 s, p < 0.001). Linear spline models had slightly higher R2 values (R2 range = 16.9%–74.8%) compared to linear models (R2 range = 15.0%–74.5%). The relationship between MIMS metrics and fitness test scores was best modeled as piecewise linear functions. Although all MIMS metrics associated with cardiorespiratory endurance, Peak 60‐min MIMS showed stronger associations with tests of muscular strength and endurance. [ABSTRACT FROM AUTHOR]

Purpose: The consensus is that physical activity (PA) and sedentary behavior (SB) are independent behaviors, but past findings suggest that they may be influenced by common underlying factors. To clarify this issue, we examined associations between enjoyment of PA and participation in both PA and SB in a large sample of 4th- to 12th-grade US youth. Methods: A total of 18,930 students from 187 schools completed the youth activity profile, a self-report 15-item survey that assesses time spent in PA and SB in school and home settings. Two additional items captured enjoyment of PA and physical education. Two-way (gender x enjoyment and grade x enjoyment) mixed analysis of variances were conducted. Results: Pearson correlation results revealed a positive relationship between enjoyment and PA (r = .38, P < .05) and an inverse correlation between enjoyment and SB (r = -.23, P < .05). Statistically significant main effects of enjoyment were found in the 2-way analysis of variance for both PA and SB. The simple main effect from analysis of variance indicated students with high enjoyment of PA reported higher levels of PA and lower levels of SB compared with students reporting moderate or low levels of enjoyment. Conclusion: The results provide new insights related to the relevance of enjoyment as a common underlying variable influencing both PA and SB across gender and grade levels. [ABSTRACT FROM AUTHOR]

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Proteasome inhibitors (PIs) have been a kind of backbone therapies for newly diagnosed as well as relapsed or refractory myeloma patients in the last two decades. Bortezomib, the first‐in‐class PI, was approved by the United States Food and Drug Administration in 2003. The key roles of this class of agents are targeting at the overstressed 26S proteasome, which are involved in the pathogenesis of the disease. Despite recent advancements in clinical antimyeloma treatment, the acquisition of resistance is a major limitation in PI therapy. This review aims at a better understanding of the pathways and biomarkers involved in MM drug resistance. [ABSTRACT FROM AUTHOR]

Highlights • Two indicators were developed to quantify relative effects of driving factors. • Water retention service in Kentucky was more sensitive to climate change. • Soil retention and nutrients export were more sensitive to land use change. Abstract Policy-makers are interested in knowing the relative importance and combined effects of land use and climate change on ecosystem services. However, knowledge of how to identify these relationships is still lacking. This study aims to provide a comprehensive assessment of water-related ecosystem services and to improve understanding of how they are impacted by land use and climate change in Kentucky, USA. By using InVEST models and environmental setting scenarios, this study first quantifies water-related ecosystem services in a spatially explicit manner. The effects of land use and climate change on these ecosystem services are assessed using two indicators developed in this study. The results show that at the state scale, climate change has a greater impact than land use on water retention, but land use change has a greater impact on soil retention, nitrogen export, and phosphorus export. Climate and land use change have a significant inhibitory effect on water retention, nitrogen export, and phosphorus export. The relative importance and combined influences of land use and climate change also depend on the scale and landscape composition. Unraveling the drivers of ecosystem services in the context of global change can provide critical knowledge for developing practical policy and land management applications. [ABSTRACT FROM AUTHOR]

ABSTRACT BACKGROUND We examined the impact of the Fuel Up to Play 60 ( FUTP60) program on children's body mass index ( BMI) and aerobic capacity ( AC). METHODS Participation in the FUTP60 and both BMI and AC profiles were collected through the NFL PLAY 60 FitnessGram Partnership Project involving over 100 schools from 22 US states. We specifically examined the distributions of BMI and AC among participating versus nonparticipating schools in the 2012-2013 school year. Hierarchical linear models tested the impact of participation and availability of additional funding for program implementation on the proportions of youth meeting FitnessGram health-related fitness standards (ie, Needs Improvement-Health Risk [ NIHR] and Healthy Fitness Zone [ HFZ] categories). RESULTS After 1 year implementing the program, participating schools had lower proportions of boys (−4.1 ± 2.0%, p = .04) and girls (−4.5 ± 2.0%, p = .03) in the NIHR for BMI, and lower proportion of girls (−9.7 ± 4.0%, p = .02) in the NIHR for AC. There were no differences in the distributions for the HFZ and the availability of additional funding did not alter the relationships (p > .05). CONCLUSIONS This study provides preliminary evidence that participation in the FUTP60 is associated with improved profiles of health-related fitness. [ABSTRACT FROM AUTHOR]

ABSTRACT BACKGROUND To advance research on youth fitness promotion it is important to understand factors that may explain the disparities in fitness. METHODS We evaluated data from the FitnessGram NFL PLAY60 Partnership Project to examine school factors influencing aerobic capacity ( AC) and body mass index ( BMI) in schoolchildren. Individual observations for AC (157,971 students from 675 schools) and BMI (178,274 students from 630 schools) were aggregated to compute the percentage of students achieving the Healthy Fitness Zone ( HFZ). We examined achievements using adjusted linear regression models with socioeconomic status ( SES), minority status, region, enrollment, and grade as factors. RESULTS The mean HFZ for AC and BMI were 51.6% and 56.9%, respectively. SES, minority status, and enrollment were all significantly associated with AC HFZ among boys, and SES and enrollment were significant predictors of AC HFZ in girls. SES and location were significantly related to BMI HFZ among boys but only SES significantly predicted BMI HFZ in girls. Schools with higher SES had higher AC and BMI HFZ achievements. CONCLUSIONS SES was consistently associated with health-related fitness, independent of sex, but not minority status. [ABSTRACT FROM AUTHOR]

This article describes the conceptual design and evaluation strategies used in the NFL PLAY 60 FITNESSGRAM® Partnership Project, a large participatory research network focused on building effective school physical education programming. The article summarizes the unique participatory design, recruitment methods, programming strategies, and analytical plans used to evaluate this large project. The study provides unique insight into how to effectively deliver large-scale school-based physical fitness and physical activity programming to support and enhance physical education programming in schools. [ABSTRACT FROM PUBLISHER]

Objective. To evaluate classification accuracy of NC and compare it with body mass index (BMI) in identifying overweight/obese US children. Methods. Data were collected from 92 children (boys: 61) aged 7 to 13 over a 2-year period. NC, BMI, and percent of body fat (BF%) were measured in each child and their corresponding cut-off values were applied to classify the children as being overweight/obese. Classification accuracy of NC and BMI was systematically investigated for boys and girls in relation to true overweight/obesity categorization as assessed with a criterion measure of BF% (i.e., Bod Pod). Results. For boys, Cohen's x (0.25), sensitivity (38.1%), and specificity (85.0%) of NC were smaller in comparison with Cohen's x (0.57), sensitivity (57.1%), and specificity (95.0%) of BMI in relation to BF% categorization. For girls, Cohen's x (0.45), sensitivity (50.0%), and specificity (91.3%) of NC were smaller in comparison with Cohen's x (0.52), sensitivity (50.0%), and specificity (95.7%) of BMI. Conclusion. NC measurement was not better than BMI in classifying childhood overweight/obesity and, for boys, NC was inferior to BMI. Pediatricians and/or pediatric researchers should be cautious or wary about incorporating NC measurements in their pediatric care and/or research. [ABSTRACT FROM AUTHOR]

The article presents a study on the development of a carbon accounting method that can be used in agricultural practices in the U.S. The study assesses the net ecosystem carbon balance and net ecosystem exchange using a land cover data defined by MODIS of the National Aeronautics & Space Administration (NASA) and cropland data layer (CDL) of the National Agricultural Statistics Service (NASS). It shows that the developed system offers means in the evaluation of carbon dynamics in croplands.

Abstract: Formaldehyde, an economically important chemical, is classified as a human carcinogen that causes nasopharyngeal cancer and probably leukemia. As China is the largest producer and consumer of formaldehyde in the world, the Chinese population is potentially at increased risk for cancer and other associated health effects. In this paper we review formaldehyde production, consumption, exposure, and health effects in China. We collected and analyzed over 200 Chinese and English documents from scientific journals, selected newspapers, government publications, and websites pertaining to formaldehyde and its subsequent health effects. Over the last 20years, China''s formaldehyde industry has experienced unprecedented growth, and now produces and consumes one-third of the world''s formaldehyde. More than 65% of the Chinese formaldehyde output is used to produce resins mainly found in wood products — the major source of indoor pollution in China. Although the Chinese government has issued a series of standards to regulate formaldehyde exposure, concentrations in homes, office buildings, workshops, public places, and food often exceed the national standards. In addition, there have been numerous reports of formaldehyde-induced health problems, including poisoning and cancer. The lack of quality epidemiological studies and basic data on exposed populations emphasizes the need for more extensive studies on formaldehyde and its related health effects in China. [Copyright &y& Elsevier]

Objective: To assess age- and sex-specific patterns of 6 health-related fitness components in youth, baseline data from the NFL PLAY 60 FITNESSGRAM Partnership Project were analyzed., Study Design: A total of 192,848 students from 1st through 12th grade in 725 schools completed the standard FITNESSGRAM testing in 2010-2014, including assessments of aerobic capacity (AC), body mass index (BMI), upper body strength and endurance, trunk extensor strength and flexibility, abdominal strength and endurance, and flexibility. Individual data were aggregated by grade and sex. Age- and sex-specific health-related criterion-referenced standards were used to classify fitness results into the healthy fitness zone (HFZ), needs improvement zone, or needs improvement health risk., Results: The proportion of youth meeting the HFZ for AC varied considerably by grade for both boys (62.1%-37.6%) and girls (49.1%-26.1%) among 1st-12th grade. There was less variability by age and sex for achievement of the BMI HFZ (ranged from 52.7%-65.0%). The prevalence of achievement was similar for the remaining fitness components. Significantly lower achievement was found in the middle school years for BMI HFZ in both sexes and for AC HFZ achievement in boys. Continuous age-related lower HFZ achievement was evident in girls for AC., Conclusions: The results provide updated health-related fitness profiles for US youth and identify the critical ages when youth fitness levels start to decline., (Copyright © 2015 Elsevier Inc. All rights reserved.)