Diet and Physical Activity in Rural vs Urban Children and Adolescents in the United States: A Narrative Review

Temporal Trends in Single- and Multiple-Sports Team Participation Among Adolescents in the United States: Analysis Using the Youth Risk Behavior Surveillance System, 1999-2019

Background

It is unclear how levels of sport participation have changed among adolescents in the United States (US) in recent years, particularly considering evidence of increasing sport professionalization and attrition.

Purpose

To evaluate the differences and trends in single- and multiple-team sport participation among US high school students between 1999 and 2019.

Study Design

Descriptive epidemiology study.

Methods

Using the Youth Risk Behavior Surveillance System of the US Centers for Disease Control and Prevention, a biannual representative survey of US high school students, data on self-reported sport participation (no participation, single team, multiple teams) within the previous year were evaluated. Differences in sport participation prevalence between 1999 and 2019 were assessed in sex strata by grade, race/ethnicity, and US region. Weighted trends using the National Center for Health Statistics Guidelines for Analysis of Trends and logistic regression models were employed for analyses.

Results

The study sample over the 20-year period (N = 149,404) was 49.8% female; the majority were in ninth grade (27.7% female, 28.7% male), were non-Hispanic White (56.1% female, 56.8% male), and resided in the Southern US (57.6% female, 57.4% male). Among girls, 27.2% (95% CI, 25.8-28.6) reported multiple sports team participation in 1999, while 21.3% (95% CI, 20.1-22.6) reported the same in 2019. Among boys, 39.5% (95% CI, 38.4-40.7) reported multiple sports team participation in 1999 versus 29.1% (95% CI, 27.7-30.6) in 2019. Analyses of trends indicated that girls experienced increasing trends in single-sport team participation (β = 0.04, SE = 0.01, P < .001). Among boys, there were increasing trends in no sport participation (β = 0.06, SE = 0.01, P < .001), while multiple-sport team participation decreased over the 20-year period (β = -0.10, SE = 0.01, P < .001). Disparities in trends were observed among female and male groups by race/ethnicity, grade, and region.

Conclusion

Sport participation over a 20-year period in the US decreased significantly for boys and increased for single-sports teams among girls. Sport specialization may be contributing some of the observed trends, though limitations in the data require additional research to confirm these hypotheses. Tailored efforts to increase sport participation among both sexes is needed.

Childhood obesity is associated with a high degree of metabolic disturbance in children from Brazilian semi-arid region

Projected to impact 310 million children by the next decade, childhood obesity is linked to serious health issues like metabolic disturbance and cardiovascular diseases. This study introduces a novel approach for the integrated assessment of inflammatory, glycemic and lipid disorders in obese children in resources-limited settings and also identifies key factors contributing to these changes. Conducting a cross-sectional analysis of 231 children aged 5-12 years from public schools in Brazil's semi-arid region, the research involved collecting medical history, anthropometric measurements, and blood samples to analyze glycemic and lipid profiles, along with C-reactive protein levels. We used an adapted the Molecular Degree of Perturbation model to analyze deviations in metabolic markers from a healthy control group. Statistical analyses included Mann-Whitney and Fisher exact tests, backward logistic regression, and hierarchical cluster analysis. The study identified a direct and independent association between elevated Metabolic Disturbance Degree and both overweight and obesity in children, with significant differences in CRP, Triglycerides, and HDL levels noted between obese and healthy-weight groups. The findings highlight the critical need for early detection and comprehensive understanding of obesity-related changes to mitigate the severe health risks associated with childhood obesity.

Dietary habits among 177,091 Greek schoolchildren by age, sex, weight status, region, and living area. A cross-sectional study

BACKGROUND

This study aimed to investigate the dietary habits from early childhood to adolescence among participants from all regions of the country and living areas (rural/urban) and assess potential associations between dietary habits and obesity in both sexes.

METHODS

Population data were derived from a cross-sectional health survey on a representative sample of 177,091 children aged 6-18 years. Dietary habits were considered via a self-completed questionnaire (Mediterranean diet quality index for children and adolescents [KIDMED]). Trained investigators assessed the anthropometric data.

RESULTS

KIDMED scores were 6.7 ± 2.4 and 6.8 ± 2.3 for boys and girls, respectively, whereas a percentage of almost 10% of the total study population had insufficient dietary habits. Dietary habits peaked around age 11 years and then gradually worsened until the end of adolescence in both sexes, with an annual trend equal to -0.28 ± 0.02 (p < 0.001) for boys and -0.31 ± 0.03 (p < 0.001) for girls. Schoolchildren who are overweight/obese presented higher percentages in all unhealthy dietary habits (e.g., skipping breakfast, going often to a fast food restaurant, and consuming a lot of sweets) than children with a normal weight (all p-values < 0.001). Dietary habits did not noteworthy differ by area of living, that is, urban versus rural, of participants in both sexes. In addition, no noticeable differences in the values of the KIDMED index were found among all regions of Greece, with the highest values in Attica and Crete in both sexes.

CONCLUSIONS

Because Greek schoolchildren do not fully adopt the traditional cardio-protective Mediterranean diet, it could be helpful to provide certain recommendations, especially for adolescents, to decrease the risk for future adverse health consequences.

Indicators of community physical activity resources and opportunities and variation by community sociodemographic characteristics: A scoping review

Objective

This scoping review synthesizes studies examining community-level variability in physical activity resource (assets) and opportunity (organized group physical activity services) availability by community sociodemographic characteristics to describe methodologies for measuring resources/opportunities, indicators characterizing availability, and associations between community-level sociodemographic characteristics and availability.

Methods

A systematic search was conducted in MEDLINE, CINAHL, PsycINFO, and Scopus for literature through 2022. Eligible studies quantitatively examined measures of physical activity resource/opportunity availability by community-level racial, ethnic, and/or socioeconomic characteristics within geospatially defined communities. Extracted data included: community geospatial definitions, sociodemographic characteristics assessed, methodologies for measuring and indicators of community physical activity resource/opportunity availability, and study findings.

Results

Among the 46 included studies, community geospatial units were defined by 28 different community boundaries (e.g., town), and 13% of studies were conducted in rural areas. Nearly all (98%) studies measured community-level socioeconomic status, and 45% of studies measured race/ethnicity. A total of 41 indicators of physical activity resource/opportunity availability were identified. Most studies (91%) assessed built environment resources (e.g., parks), while 8.7% of studies assessed opportunities (e.g., programs). Of 141 associations/differences between community sociodemographic characteristics and resource/opportunity availability, 29.8% indicated greater availability in communities of higher socioeconomic status or lower prevalence of minority populations. The remaining findings were in the opposite direction (9.2%), non-significant (36.9%), or mixed (24.1%).

Conclusions

Variability in physical activity resources/opportunities by community sociodemographic characteristics was not consistently evident. However, the indicators synthesized may be useful for informing population health improvement efforts by illuminating the physical and social conditions impacting population physical activity outcomes.

Comparative Analysis of Physical Activity, Performance-Related Health, and Academic Achievements in 11-to-13-Year-Old Schoolchildren in Qatar

Age-related differences in physical activity (PA), maturity status (PHV), physical performance (PP), and academic achievement (AA) among schoolchildren in Qatar were examined. Sixty-nine students from a school in Doha were categorized into three equal (n = 23) groups: 11-year-old students (U11; male: n = 14), 12-year-old students (U12: male: n = 7), and 13-year-old students (U13: male: n = 11). The testing process comprised a medicine ball throw, Stork balance test, hand grip strength test, the T-half test (PP), GPA in Arabic, mathematics, science (AA), International Physical Activity Questionnaire Short Form (PA), and Moore's equations (PHV). Relevant age-related differences (p < 0.001) were identified in mathematics, science, the T-half test, maturity, and arm span. Notably, differences between adjacent age groups were evident between U11 and U12, concerning arm span, maturity, mathematics, and science, and between U12 and U13 (the T-half test, mathematics, science). Concerning AP, the performance maxima were calculated for U12 (mathematics, science) and U11 (Arabic). Regarding PP, performance maxima were only observed for U13. Except for the moderate level, the highest levels of PA were detected in U13. Maturity status and anthropometric parameters did not differ significantly between age groups. However, AA demonstrated the most notable age-related differences. Specifically, mathematics showed substantial differences between adjacent age groups.

Sociodemographic influences on youth sport participation and physical activity among children living within concentrated Hispanic/Latino rural communities

Introduction

Lack of physical activity (PA) among children living in rural communities is a documented public health problem. Although studies have examined community conditions defined by a rural-urban dichotomy, few have investigated rural community conditions with a concentration of Hispanic/Latino people. This cross-sectional study examined sociodemographic characteristics associated with youth sport (YS) participation and daily PA among children living within concentrated Hispanic/Latino rural U.S. Midwest communities.

Methods

During spring 2022, 97% of 3rd-6th grade children (n = 281, aged approximately 8-12 years) attending school in rural Midwestern communities (n = 2) with >50% concentration of Hispanic students participated in the Wellscapes Project, a community randomized trial. Participants completed the Youth Activity Profile and supplemental National Survey of Children's Health questions assessing PA behaviors and YS participation. Caregivers of a subsample of children (n = 215; males, n = 93; females, n = 122) consented to pair their child's survey results with school enrollment records (e.g., free/reduced lunch status and race and ethnicity). Mixed models with community as a random effect examined main and interaction effects of grade, sex, ethnoracial status, and family income on YS participation and these sociodemographic characteristics and YS participation on daily moderate-to-vigorous PA (MVPA).

Results

Approximately half of children participated in YS. Non-Hispanic White children (n = 82) were over five times more likely to participate in YS than Hispanic peers (n = 133) (OR = 5.54, 95% CI = 2.64-11.61, p < 0.001). YS participants accumulated 8.3 ± 2.3 more minutes of daily MVPA than non-participants (p < 0.001). Sixth graders, females, and Hispanic children reported lower daily MVPA than comparison groups (p < 0.05). Significant interaction effects on daily MVPA between grade and ethnoracial status (F(3, 204) = 3.04, p = 0.030) were also found.

Discussion

Disparities in sport participation and PA outcomes based on sociodemographic characteristics exist among children living in ethnoracially diverse rural communities. Strategies to promote YS participation, including community structural changes, may help reduce PA disparities. The research provides valuable insights for policymakers, public health professionals, and community members to address YS participation barriers, not limited to cost, while considering other PA-promotion efforts to improve child population health.

Differences in Intakes of Select Nutrients by Urbanization Level in the United States Population 2 Years and Older, NHANES 2013-2018

BACKGROUND

Differences in nutrient intakes by urbanization level in the Unites States is not well understood.

OBJECTIVE

Describe, by urbanization level: 1) intake of protein, fiber, percent of energy from added sugars (AS) and saturated fat (SF), calcium, iron, potassium, sodium, and vitamin D; 2) the percent of the population meeting nutrient recommendations.

METHODS

Twenty-four-hour dietary recalls from 23,107 participants aged 2 y and over from the 2013-2018 National Health and Nutrition Examination Surveys were analyzed. Usual intakes were estimated, and linear regression models adjusted for age, sex, race and Hispanic origin, and whether family income met the 130% threshold examined intake differences by urbanization levels-large urban areas (LUA), small to medium metro areas (SMMA), and rural areas (RA).

RESULTS

A small percentage of the population met the nutrient recommendations, except for protein (92.8%) and iron (70.5%). A higher percentage of the population met recommendations than SMMA and RA for fiber (11.8% compared with 8.1% and 5.3%, P < 0.001), AS (40.2% compared with 33.4% and 31.3%, P < 0.001), SF (26.8% compared with 18.2% and 20.1%, P < 0.001), and potassium (31.5% compared with 25.5% and 22.0%, P < 0.001). Mean protein intake were also higher in LUA than RA (80.0 g compared with 77.7 g, P = 0.003) and fiber intake higher in LUA than SMMA (16.5 g compared with 15.9 g, P = 0.01) and RA (16.5 g compared with 15.2 g, P = 0.001). In addition, contributions to energy intake were lower in LUA than SMMA for AS (11.3% compared with 12.0%, P < 0.001) and SF (11.5% compared with 11.7%, P < 0.001), and for LUA than RA for AS (11.3% compared with 12.9%, P < 0.001) and SF (11.5% compared with 11.8%, P < 0.001).

CONCLUSIONS

RA had some markers of poorer diet quality-lower protein and fiber intake and higher AS intake-compared with LUA, and these differences persisted in adjusted regression models. These results may inform public health efforts to address health disparities by urbanization levels in the Unites States.

Physical Activity and Its Potential Determinants in Obese Children and Adolescents under Specialist Outpatient Care-A Pilot Cross-Sectional Study

(1) Background: this study aimed to assess the physical activity of obese pediatric patients under specialized outpatient care and its potential determinants. (2) Methods: A total of 83 subjects aged 7-18 years with simple obesity and their parents were enrolled. Data were collected with the use of physical activity questionnaires (PAQs) for children and adolescents and additional questions concerning selected socio-demographic characteristics. (3) Results: The mean final PAQ score was 2.09 ± 0.69. The most frequently chosen types of physical activity included walking, gymnastics, and jogging or running. We found a weak correlation inversely proportional between the child's age and mean final PAQ score (r = -0.25; p = 0.02). Younger children were more active during lunchtime at school and after school compared to adolescents (p = 0.03 and p = 0.04). The final PAQ score differed according to the place of residence; the lowest score was obtained by subjects living in cities >100,000 inhabitants (p = 0.025). We found a positive correlation between PAQ-Ch score and the father's physical activity, and between PAQ-A score and the mother's education. (4) Conclusions: The physical activity of obese pediatric patients is low, particularly in adolescents. It seems that age and place of residence have an impact on the physical activity of obese children and adolescents. The PAQs used in this study are useful in physical activity assessment and identification of time segments during the day in which activity might be improved. However, this requires confirmation in a larger group of pediatric patients.

Understanding weight status and dietary intakes among Australian school children by remoteness: a cross-sectional study

OBJECTIVE

To determine whether primary school children's weight status and dietary behaviours vary by remoteness as defined by the Australian Modified Monash Model (MMM).

DESIGN

A cross-sectional study design was used to conduct secondary analysis of baseline data from primary school students participating in a community-based childhood obesity trial. Logistic mixed models estimated associations between remoteness, measured weight status and self-reported dietary intake.

SETTING

Twelve regional and rural Local Government Areas in North-East Victoria, Australia.

PARTICIPANTS

Data were collected from 2456 grade 4 (approximately 9-10 years) and grade 6 (approximately 11-12 years) students.

RESULTS

The final sample included students living in regional centres (17·4 %), large rural towns (25·6 %), medium rural towns (15·1 %) and small rural towns (41·9 %). Weight status did not vary by remoteness. Compared to children in regional centres, those in small rural towns were more likely to meet fruit consumption guidelines (OR: 1·75, 95 % CI (1·24, 2·47)) and had higher odds of consuming fewer takeaway meals (OR: 1·37, 95 % CI (1·08, 1·74)) and unhealthy snacks (OR = 1·58, 95 % CI (1·15, 2·16)).

CONCLUSIONS

Living further from regional centres was associated with some healthier self-reported dietary behaviours. This study improves understanding of how dietary behaviours may differ across remoteness levels and highlights that public health initiatives may need to take into account heterogeneity across communities.

Dietary contributions of food outlets by urbanization level in the US population aged 2 years and older-NHANES 2013-2018

BACKGROUND

Differences in food access, availability, affordability, and dietary intake are influenced by the food environment, which includes outlets where foods are obtained. These differences between food outlets within rural and urban food environments in the United States are not well understood.

OBJECTIVES

The aim of this analysis is to describe the contribution of foods and beverages from 6 outlets-grocery stores, convenience stores, full-service restaurants, quick-service restaurants, schools, and other outlets-to the total energy intake and Healthy Eating Index (HEI)-2015 scores in the United States population, by urbanization level (nonmetropolitan statistical areas [MSAs], small-to-medium MSAs, and large MSAs).

METHODS

Data from the National Health and Nutrition Examination Survey 2013-2018 were used. Dietary intake from one 24-h dietary recall was analyzed by the outlet where a food or beverage was obtained and by urbanization. Linear regression, adjusted for sex, age, race and Hispanic origin, and family income, was used to predict the contribution of each food outlet to the total energy intake and HEI-2015 total and component scores by urbanization level.

RESULTS

During 2013-2018, foods and beverages from grocery stores and quick-service and full-service restaurants contributed to 62.1%, 15.1%, and 8.5% of the energy intake, respectively. The percentage of energy intake from full- and quick-service restaurants increased with increasing urbanization level. HEI-2015 total scores increased with the increasing urbanization level overall (48.1 non-MSAs, 49.2 small-to-medium MSAs, and 51.3 large MSAs) for grocery stores (46.7 non-MSAs, 48.0 small-to-medium MSAs, and 50.6 large MSAs) and for quick-service restaurants (35.8 non-MSAs, 36.3 small-to-medium MSAs, and 37.5 large MSAs).

CONCLUSIONS

Grocery stores and restaurants were the largest contributors of energy intake in urban and rural areas. Diet quality improved with increasing urbanization overall and for grocery stores and quick-service restaurants.

School Menu Review Programme (PReME): evaluation of compliance with dietary recommendations during the period 2006-2020 in Catalonia

BACKGROUND

The School Menu Review Programme (PReME) has been offering complimentary revisions of meal plans to all schools in Catalonia since 2006. This study aims to assess the evolution of compliance with PReME's recommendations in the meals provided by school cafeterias in Catalonia during the period 2006-2020.

METHODS

Pre-post study with a sample of 6,387 meal plans from 2221 schools assessed during the period. The information was collected mainly by public health specialists within the annual technical and sanitary inspection of school kitchens and cafeterias. Meal plans were evaluated by Dietitian-Nutritionists team according to the criteria of the National Health System's "Consensus document on nutrition in schools" and the Public Health Agency of Catalonia's current guide "Healthy eating at school". Reports were sent to each participating school. A few months later, a new meal plan and another questionnaire were collected and evaluated in comparison with the first meal plan. Compliance with the recommendations was analysed based on the type of canteen management and the school category.

RESULTS

Compliance improved during the study period. The percentage of schools that complied with dietary recommendations in relation to the five PReME indicators (fresh fruit, pulses, daily vegetables, fresh food and olive oil for dressing) has steadily increased since PReME began, (over 70% in all indictors; p =  < 0.001), with variations depending on school category and cafeteria management. Furthermore, an improvement in the levels of compliance with de recommended food frequencies was observed. with statistically significant differences for all items (p < 0.001), except for pulses whose compliance had been high since the beginning of the study (p = 0.216).

CONCLUSIONS

The positive evolution in compliance with PReME's recommendations provides evidence of the programme's effectiveness, with an improvement in the quality of school meals delivered in Catalonia.

Association Between Physical Activity Indicators and Human Development Index at a National Level: Information From Global Matrix 4.0 Physical Activity Report Cards for Children and Adolescents

Background: The aim of this study was to explore the associations between the 10 key indicators of the Global Matrix 4.0 project and human development index (HDI) at a national level according to sex, age, area of residence, and ability levels. Methods: Information from the 57 countries/localities included in the Global Matrix 4.0 project was compiled and presented according to the HDI of each country/locality for each of the 10 key indicators. Grades were assigned based on the benchmarks of the Global Matrix 4.0 project ranged between “A+” (best performance) and “F” (worst performance). Results: The population subgroups of females, children, rural residents, with/without disabilities from countries/localities with higher HDI performed better in the organized sport and physical activity indicator than their peers from countries/localities with lower HDI. Children and adolescents living in rural areas of countries/localities with higher HDI showed better performance for active play, and children and adolescents living in urban areas of countries/localities with lower HDI showed better performance for the active transportation. Countries/localities with higher HDI showed better grades for sources of influence than the countries/localities with lower HDI. Conclusions: Physical activity patterns in some population subgroups of children and adolescents differed according to the development level of countries/localities.

COVID-19 pandemic and changes in children's physical activity in a rural US community: a mixed methods study

OBJECTIVES

To examine differences in rural community children's moderate-to-vigorous physical activity (MVPA) and participation in out-of-school activities from fall 2019 to fall 2020 and explore enacted PA opportunity modifications post initial COVID-19 disruption.

DESIGN

Mixed methods study using the validated Youth Activity Profile (YAP), administrator reports and stakeholder surveys and semistructured interviews.

SETTING

Children and community stakeholders from one rural US Great Plains community in the state of Nebraska were recruited.

PARTICIPANTS

Third through fifth graders in fall 2019 (n=144) and fall 2020 (n=174) reported MVPA and participation in out-of-school activities using the YAP. School administrators reported weekly physical education (PE) and recess minutes. Community stakeholders reported pandemic-related changes in community social structures in semistructured interviews (n=4) and surveys (n=19).

RESULTS

Average daily MVPA minutes increased from 2019 to 2020 (75.0 vs 81.3, SE=1.6, p<0.05). Minutes of MVPA increased during: school hours (MD=2.7, SE=0.5, p<0.5); out-of-school time on weekdays (MD=3.9, SE=1.3, p<0.5); and on weekends (MD=5.5, SE=2.4, p<0.5). On average, fewer children participated in youth sport (42.5% vs 47.2%), youth clubs (10.3% vs 16.0%) and other out-of-school activities (24.1% vs 38.2%) in 2020, compared with 2019. Weekly PE/recess minutes increased from 208.3 to 241.7 from 2019 to 2020. Stakeholder surveys revealed community-driven modifications to PA opportunities, and interviews suggested children played outside more frequently, especially when school was closed and out-of-school activities were shut down.

CONCLUSIONS

Increased minutes of PE and recess, and decreased out-of-school activity participation may have increased children's overall free play and MVPA during the pandemic. Free play was an important contributor to children's PA during the pandemic and should be prioritised by educators, coaches and other leaders of child PA opportunities.

TRIAL REGISTRATION NUMBER

NCT03380143.

Interaction effects of socio-economic position in the association between eating location and diet quality in Portuguese children and adolescents: results from the National Food, Nutrition and Physical Activity Survey 2015-2016

This study aims to evaluate the interaction effect of socio-economic environment (SEE) in the relationship between the eating location (EL) and diet quality, in children and adolescents. Data included Portuguese children and adolescents (3-17 years) from a National Dietary Survey Sample (IAN-AF 2015/2016, n 987). Dietary intake was obtained by 2-d food diaries (children) or 2-24-h-recall (adolescents). Participants were classified into four groups of EL: 'Home', 'Other homes', 'School' and 'Restaurants'. Diet quality was measured as a higher adherence to a healthy eating pattern. A previous developed socio-economic classification was used, and participants were grouped as belonging to a low socio-economic environment (LSE) or middle-high socio-economic environment (MHSE). Linear regression models were used to evaluate the association between EL and diet quality, stratified by the SEE. A statistically significant interaction effect was found (P < 0·01) for the SEE in the association between EL and diet quality. After adjustment for potential confounders, in LSE, participants belonging to 'Other homes' (β = -2·07; 95 % CI:-3·70, -0·44) and 'Restaurants' (β = -3·31; 95 % CI: -5·08, -1·54) had lower scores in the diet quality score, comparing to 'Home'. In MHSE, comparing with 'Home', 'Restaurants' showed lower diet quality (β = -1·56; 95 % CI:-2·65, -0·48), while the 'School' had better diet quality (β = 0·90; 95 % CI: 0·16, 1·64). The SEE influences the association between EL and diet quality and, belonging to more disadvantaged SEE, might represent a higher risk of unhealthy eating habits when eating out-of-home.

Urban-Rural Differences in Children's and Adolescent's Physical Activity and Screen-Time Trends Across 15 Years

BACKGROUND

Urban and rural areas have been experiencing major demographic and structural changes, characterized by an aging population in rural areas and a growth of cities in number and size. However, it is poorly researched how children's physical activity and screen time developed in urban and rural areas. To address this deficit, we investigated physical activity and screen-time trends in Germany's pediatric population across four urbanicity levels (rural, small town, medium-sized town, city).

METHOD

We obtained weighted data at three cross-sectional timepoints between 2003 and 2017, representative for Germany's child and adolescent population. Physical activity and screen time were self-reported. We analyzed trends using a structural equation modeling framework for the overall sample and calculated interactions between the trends and age and gender, respectively.

RESULTS

In total, 12,161 children and adolescents between 4 and 17 years participated in the study. Children and adolescents in rural areas experienced a downward trend in total physical activity. Outdoor play and leisure-time physical activity decreased across all areas, with the strongest decline in rural areas. Computer and gaming time increased across all areas except for cities, with the sharpest increase in rural areas. The decline in outdoor play and the incline in computer and gaming time were driven by adolescents. Females showed stronger increases in computer and gaming time than males.

CONCLUSION

Our findings suggest that in a representative sample of children and adolescents in Germany, detrimental trends in children's physical activity and screen time occur at a higher rate in rural areas compared with urban environments. This provides critical information for health policy: While all children and adolescents should be targeted for physical activity promotion, a special focus should be on tailoring interventions for rural areas to prevent and mitigate inequalities in physical activity across urban and rural areas.

A Comparison of Meeting Physical Activity and Screen Time Recommendations between Canadian Youth Living in Rural and Urban Communities: A Nationally Representative Cross-Sectional Analysis

Meeting the physical activity (PA) and recreational screen time recommendations for children and young people is associated with several health benefits. The purpose of this study was to compare the odds of meeting PA and recreational screen time recommendations between the Canadian youth living in urban versus rural communities. We analyzed nationally representative cross-sectional data collected as part of the 2017–2018 cycles of the Canadian Community Health Survey among young people aged 12–17 years. PA and screen time were self-reported. Sex-specific multivariable logistic regression models were used to estimate the odds of meeting individual and combined PA and recreational screen time recommendations by rural and urban status after adjusting for individual, socioeconomic, and seasonal covariates. The odds of meeting the PA recommendation were not statistically significantly different among males (OR = 1.01, 95% CI: 0.86–1.18) or females (OR 1.05, 95% CI: 0.99–1.11) living in urban versus rural communities. The odds of meeting the recreational screen time recommendations were statistically significantly lower among male (OR = 0.71, 95% CI: 0.65–0.77) and female (OR = 0.71, 95% CI: 0.59–0.86) youth living in urban compared to those in rural communities. The odds of meeting the combined PA and screen time recommendations were statistically significantly lower among urban males (OR = 0.75, 95% CI: 0.71–0.81) but not females (OR = 0.82, 95% CI: 0.58–1.15) than those from rural communities. These findings suggest that residential context (i.e., urban versus rural) may have a differential impact on meeting the combined PA and screen time recommendations among the male and female Canadian youth. Future research should investigate these differences using device-based measures.

Patterns of age-related change in physical activity during the transition from elementary to high school

This study was designed: 1) to describe patterns of age-related change in total and moderate-to-vigorous physical activity (MVPA) in children as they transitioned from elementary school to high school, and 2) to determine if those patterns differed across demographic sub-groups formed on the basis of gender, race/ethnicity, parent education (socioeconomic status), and urbanicity. A cohort of children (analysis sample, N = 951) was comprised of students drawn from two public school districts in South Carolina. Physical activity was measured by accelerometry on at least two and up to five occasions between 2010 and 2017. Growth curve analyses were performed to describe the pattern of age-related change in the physical activity variables for the full sample and for demographic sub-groups. A relatively steep age-related decline in total physical activity was observed in children before age 14, with a slower rate after that age. Physical activity was lower in girls than boys, and the age-related rate of decline was steeper in girls. Physical activity patterns did not differ across race/ethnicity groups, but children of parents with less education were more active than children of parents with more education. Children living in rural areas participated in less MVPA than children living in urban settings, and this difference increased with increasing age. These findings indicate that children experience a particularly steep decrease in physical activity as they transition from elementary to middle school, and this trend is particularly prominent in girls, children living in rural areas, and children of parents with college education.

Exploring Associations of Household Chaos and Child Health Behaviors in Rural Families

Objectives: Regular physical activity (PA) and limited sedentary behavior (SB) and screen-time are essential for children's health, and rural children are more likely to have overweight and obesity. Household chaos (HHchaos), defined as disorganization characterized by noise and crowding, is associated with negative behavioral outcomes in children. In this study, we examined associations between HHchaos and PA, SB, and screen-time among rural children. Methods: Parent/child dyads (N=105) were enrolled in NU-HOME, a family-based, obesity prevention randomized-controlled trial. We used hierarchical regression analyses of baseline data to examine unadjusted and adjusted (child age, sex, BMI z-scores and economic assistance) associations between HHchaos and outcomes. Results: Children were 8.96 ± 1.06 years old; 58% were female; and 53% were categorized as normal weight. Total daily PA, SB, and weekday screen-time were 259.1 ± 58.22 minutes, 499.9 ± 77.46 minutes, and 1.79 ± 1.48 hours, respectively. Unadjusted HHchaos scores (mean = 5.04 ± 3.6; range = 0-15 with higher score indicating more chaos) were not associated with child PA or SB. HHchaos was positively associated with child screen-time in all models (p<.05), except the fully adjusted model for weekday screen-time. Conclusions: Our findings suggest that decreasing household chaos may be useful in reducing child screen-time. Our findings align with current literature in viewing household chaos as a risk factor for children's health.

Influence of Geographical Area and Living Setting on Children's Weight Status, Motor Coordination, and Physical Activity

This study was aimed (i) to examine the effect of living setting (rural vs. urban), geographical area (North vs. Center vs. South), and gender (boys vs. girls) on weight status, motor coordination, and physical activity (PA) level of Italian school-age children; (ii) to examine differences in the neighborhood walkability of different school areas from different geographical areas and living settings; and (iii) to examine whether motor coordination, PA level, geographical areas, living setting, neighborhood walkability, and gender could predict children's weight status. We assessed anthropometric parameters, gross motor coordination, and PA level in 1,549 children aged between 8 and 13 years. Results revealed that Central children had higher BMI than Northern and Southern children (η2 = 0.01). Moreover, Northern children showed the highest motor quotient (η2 = 0.148) and PA level (η2 = 0.02), followed by Southern and Central children, respectively. Children from the South of Italy attended schools located in neighborhoods with the highest Walk Score®. Urban children attended schools located in neighborhoods with a higher Walk Score® than rural children. Lower motor quotient (MQ), lower PA level, and living in a rural setting and in a car-dependent neighborhood were associated with a higher relative risk for obesity. Being a girl was associated with a lower relative risk for obesity. The alarming high percentage of overweight and obesity in children as well as motor coordination impairments revealed the urgent need of targeted PA interventions in pediatric population.

A sense of health and coherence in young rural schoolchildren in Sweden

Background: Little is known about how younger schoolchildren in a rural setting experience their sense of coherence (SOC), how they think and reason about health and what they perceive as important to achieve health goals. This study aimed to investigate children's SOC and their health perceptions.Method: In this mixed-method study 94 children (8-12 years) from three rural schools answered several questionnaires: The Child-SOC (CSOC), Positive Health Scale (PHS) and Cantril's ladder of life scale. Another 23 children (of 94) participated in four focus group interviews. Thematic analysis was used to identify themes from the interview transcripts.Results: High SOC was reported by 48% of the boys and 22% of the girls. However, no significant gender differences were found. Four themes were generated from the qualitative analysis: Understanding health, Managing health, Doing bodily health and Socialising health. Both younger and older children had a holistic view of health in which health was seen as an individual's living habits in which social contacts mattered.Conclusion: In a rural context children need to adapt to activities that exist in their immediate environment. Thus, activities during school hours can be an important complement in health promotion.

Walkability indices and children's walking behavior in rural vs. urban areas

PURPOSE

This study described associations between selected walk indices (WI) and walking and physical activity behaviors in rural and urban children.

FINDINGS

WI were higher in urban environments, yet children from rural areas walked for transportation more than children from urban areas. There was a negative correlation between National WI scores and walking for transportation in urban areas, and between the Frank WI scores and walking for exercise in rural areas.

CONCLUSIONS

Indices of walkability are not associated with objectively measured physical activity or self-reported walking behavior in children living in rural and urban settings.

A cross-sectional, exploratory survey on health-relevant free-time activities and body mass index in preschool children in urban and rural settings of Austria

BACKGROUND

The increasing prevalence of obesity is among the most relevant healthcare issues in Europe. The number of overweight people rises due to lifestyle changes, increased sitting activities, and less physical activity. Prevention in early childhood is paramount to stop this alarming trend.

AIM

This study primarily aimed to evaluate the average time children (3-5 years) from rural and urban Austrian regions spent engaging in physical activity and sedentary behaviors in their free-time. Additionally, we investigated the potential correlation between duration and habits of free-time activity or place of residence and age- and sex-specific body mass index (BMI). The potential impact of socio-economic factors on BMI was examined.

METHODS

Urban (Vienna) and rural (Carinthia) regions of Austria were chosen for this observational cross-sectional study. Preschool children (n=130) attending nurseries in these regions were included. Weight and height were measured and BMI calculated. Free-time activity and socio-economic data were asked using a self-administered questionnaire. Data on sedentary behavior time (sedentary activity and media consumption) and physical activity time (defined as organized or spontaneous exercise) were analyzed using non-parametric tests.

RESULTS

Preschool children spent approximately as many hours of their free-time engaged in physical activity as in sedentary behaviors. Time trend in media consumption amounts to one-third of the cumulative time spent engaging in sedentary behaviors. Preschoolers from the urban area spent fewer hours practicing organized exercise and more in sedentary behaviors than peers in the rural area. In the selected areas, 7 % of preschoolers were overweight, 3.9 % were obese. BMI was not associated with free-time activities but showed a trendwise negative correlation with organized exercise. A positive correlation of age and organized exercise was observed but not with physical activity per se.

CONCLUSIONS

Our results confirm the necessity of preventive interventions among Austrian preschoolers and lead to a better understanding of their free-time activities. Further investigations with larger study populations are needed to promote effective childhood obesity prevention and examine the differences regarding obesity prevalence and leisure-time activity between rural and urban areas.

Urban and rural differences in frequency of fruit, vegetable, and soft drink consumption among 6-9-year-old children from 19 countries from the WHO European region

In order to address the paucity of evidence on the association between childhood eating habits and urbanization, this cross-sectional study describes urban-rural differences in frequency of fruit, vegetable, and soft drink consumption in 123,100 children aged 6-9 years from 19 countries participating in the fourth round (2015-2017) of the WHO European Childhood Obesity Surveillance Initiative (COSI). Children's parents/caregivers completed food-frequency questionnaires. A multivariate multilevel logistic regression analysis was performed and revealed wide variability among countries and within macroregions for all indicators. The percentage of children attending rural schools ranged from 3% in Turkey to 70% in Turkmenistan. The prevalence of less healthy eating habits was high, with between 30-80% and 30-90% children not eating fruit or vegetables daily, respectively, and up to 45% consuming soft drinks on >3 days a week. For less than one third of the countries, children attending rural schools had higher odds (OR-range: 1.1-2.1) for not eating fruit or vegetables daily or consuming soft drinks >3 days a week compared to children attending urban schools. For the remainder of the countries no significant associations were observed. Both population-based interventions and policy strategies are necessary to improve access to healthy foods and increase healthy eating behaviors among children.

Active living environments mediate rural and non-rural differences in physical activity, active transportation, and screen time among adolescents

Disparities in physical activity-related behaviors among rural and non-rural adolescents are important to consider given the relatively recent concerns surrounding the health of rural populations. Differences in rural and non-rural environments may facilitate or hinder physical activity opportunities. The purpose of this study is to examine differences between non-rural and rural adolescents' moderate-to-vigorous physical activity (MVPA), screen time, and active transportation, including the mediating role of neighborhood resources. Data came from 1,128 adolescents (207 rural, 18%) aged 12-17 years old and their parents living in the United States in the 2014 Family Life, Activity, Sun, Health, and Eating (FLASHE) study. Counterfactual mediation models were used to compare MVPA and screen time (linear regression) and active transit (log-binomial regression) among rural and non-rural adolescents, adjusting for demographics and health and measuring the mediating influence of neighborhood resources for PA. In adjusted models, rural adolescents engaged in less MVPA at school compared to non-rural adolescents (B = -1.14 min/day, p = 0.031) while no difference was found in MVPA at home or on weekends. Rural adolescents had less screen time (B = -2.1 min/day, p = 0.036) than their non-rural peers and were less likely to report active transit trips than non-rural adolescents (OR = 0.66, p = 0.016). Much of the differences in MVPA (70%) and active transit (54%) were mediated by differences in neighborhood resources. Improving the neighborhood resources in rural areas may encourage adolescents to be more active. This includes providing physical activity resources in rural areas such as sidewalks, bike lanes, greenways, playgrounds, fitness facilities, and parks/green space.

Rural community systems: Youth physical activity promotion through community collaboration

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A community systems approach is important to identify social and geographic health impacts.

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Community stakeholders residing within the city had higher trust and collective efficacy scores.

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These stakeholders had roles directly leading physical activity opportunities for youth.

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Youth physical activity was greater in the community with stakeholders in administrative roles.

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Unique community variables should be studied to elucidate system drivers of physical activity.

A common way to address rural population health issues is through community stakeholders working together. Youth physical activity (PA) happens in adult-led in-school and out-of-school group opportunities that vary across communities and generally occur in isolated settings. This study explores similarities and differences in rural community system structure and collaborative process variables that help to conceptualize the collaborative impact influencing population youth PA outcomes. Stakeholders (Community 1, n = 23; Community 2, n = 26) and youth (Community 1, n = 205; Community 2, n = 213) were recruited in 2018–2019 as part of Wellscapes, a hybrid implementation-effectiveness community randomized trial. A stakeholder survey (n = 49) measured community system structures and collaboration processes. Youth completed the Youth Activity Profile to measure PA levels. More Community 1 respondents than Community 2 resided within city limits (73.9% vs. 34.6%). Collective efficacy was significantly greater in Community 1 (M = 4.0, SD = 0.5) than in 2 (M = 3.2, SD = 0.4), p < 0.05. Perceptions of trust scored significantly greater in Community 1 (M = 4.1, SD = 0.3) than in 2 (M = 3.3, SD = 0.5), p < 0.05. Though both communities met rural definitions and had stakeholder investment, Community 1 had a greater proportion of PA-implementing stakeholders and more residing within city limits which may have influenced that community’s higher scores in collective efficacy and trust. Community 2 had more stakeholders in administrator roles and yielded greater youth PA levels. Unique and common variables of rural communities should be considered in understanding system factors that impact youth PA.

Individual, Interpersonal, and Organizational Factors Affecting Physical Activity of School Adolescents in Pakistan

The purpose of this study was to explore individual, interpersonal, and organizational factors that may influence the physical activity of adolescents (ages 10–14) in Pakistani schools. A set of questionnaires that included individual, interpersonal, and organizational factors and PA behavior was completed by the 618 students selected from Pakistani schools. Stepwise forward regression model was applied to check the possible effects of multilevel variables on physical activity and to extract the stronger predictors. The results showed that physical activity was significantly predicted by individual level factors such as self-efficacy, motivation, and attitude. Among the demographic correlates, gender, age, and BMI did not affect physical activity, while socioeconomic status and geographic characteristics had a meaningful association with PA. At the interpersonal level, adolescents’ perception of family support had a potential influence on physical activity, while there was no impact of friends/peers and teachers support on adolescents’ PA. A school environmental characteristic, such as PA facility, was positively related to PA; however, the impact of PA equipment, safety, and policy and PA culture were statistically non-significant. The findings suggest that public health intervention strategies aimed at promoting PA in adolescents should recognize multiple levels of influences that may either enhance or impede the likelihood of PA among adolescents.

Low interest in physical activity and higher rates of obesity among rural teachers

BACKGROUND

Few studies have evaluated the causes of physical inactivity in rural teachers from South America. Determining the causes and effects of physical inactivity in rural teachers could be the base for future intervention studies aiming to improve physical activity (PA) engagement in this population.

OBJECTIVES

To examine the levels of PA in rural teachers and evaluate the associations between their jobs, interest in PA, body composition and practice of PA.

METHODS

Body mass index (BMI) and body fat % (BF) of rural teachers from the Valparaiso Region in Chile were measured; interviews regarding PA habits, interests and PA practice were conducted. The relationship between BF% and interest in PA and the practice of sports was analysed stratifying by sex.

RESULTS

Around 71% were overweight/obese and 80% of the teachers reported not practicing any PA. These figures are higher than the Chilean national average for adults (64.5% overweight/obese). Moreover, females presented a higher BF% than male teachers (35.98% vs. 26.44%, p < 0.05). The main causes of not performing PA were: firstly, the lack of time (51.8%), and secondly, fatigue after work and/or finishing work late. In addition, rural teachers claim that in their free time they continue to finish tasks that they were not able to complete during their working hours.

CONCLUSIONS

Rural Chilean teachers show a high prevalence of obesity and low PA levels. Moreover, rural teachers have a work overload stemming from their jobs, and this could be an important link to an overall sedentary lifestyle. Further studies should focus on the relationship between teacher obesity, physical activity, nutrition and work overload.

Parental Factors Related to Physical Activity among Adolescent Men Living in Built and Natural Environment: A Population-Based MOPO Study

Introduction

Physical inactivity is a global concern, especially among adolescent men. Little research has been done on the association between parental factors and young adults' physical activity in the context of residential environment. We aimed to reveal what parental factors are associated with physical activity among adolescent men living in built and natural environments.

Methods

A population-based sample of 1,904 men (mean age = 17.9, SD = 0.7 years) completed a questionnaire regarding physical activity, parental factors, and lifestyle in Northern Finland in 2012 and 2013. Geographical information system methods and dominant land-use type were used to define the residential environment in a 1-kilometer radius buffer zone surrounding each participant's home address. If the residential area included more artificial surfaces, it was defined as a built environment, and areas including more nature were defined as natural environments.

Results

According to multivariable analyses, a mother's physical activity (OR = 1.9; 95% CI: 1.3-2.8) was positively associated with the physical activity of adolescent men living in built environments, and the father's physical activity was positively associated with the physical activity of adolescent men living in natural environments (2.8; 1.7-4.8). Self-rated health (built 5.9 [4.0-8.7]; natural 5.2 [3.0-9.0]) was positively associated with physical activity level. Those with symptoms of depression were more likely to be physically inactive (built 0.5 [0.3-0.8]; natural 0.3 [0.1-0.6]). Adolescent men were equally physically active regardless of the living environment.

Conclusions

The level of physical activity of parents, self-rated health, and depressive symptoms should be considered when designing physical activity promotions for adolescent men according to their residential environments.

Physical activity, screen time and the COVID-19 school closures in Europe - An observational study in 10 countries

To date, few data on how the COVID-19 pandemic and restrictions affected children's physical activity in Europe have been published. This study examined the prevalence and correlates of physical activity and screen time from a large sample of European children during the COVID-19 pandemic to inform strategies and provide adequate mitigation measures. An online survey was conducted using convenience sampling from 15 May to 22 June, 2020. Parents were eligible if they resided in one of the survey countries and their children aged 6-18 years. 8395 children were included (median age [IQR], 13 [10-15] years; 47% boys; 57.6% urban residents; 15.5% in self-isolation). Approximately two-thirds followed structured routines (66.4% [95%CI, 65.4-67.4]), and more than half were active during online P.E. (56.6% [95%CI, 55.5-57.6]). 19.0% (95%CI, 18.2-19.9) met the WHO Global physical activity recommendation. Total screen time in excess of 2 h/day was highly prevalent (weekdays: 69.5% [95%CI, 68.5-70.5]; weekend: 63.8% [95%CI, 62.7-64.8]). Playing outdoors more than 2 h/day, following a daily routine and being active in online P.E. increased the odds of healthy levels of physical activity and screen time, particularly in mildly affected countries. In severely affected countries, online P.E. contributed most to meet screen time recommendation, whereas outdoor play was most important for adequate physical activity. Promoting safe and responsible outdoor activities, safeguarding P.E. lessons during distance learning and setting pre-planned, consistent daily routines are important in helping children maintain healthy active lifestyle in pandemic situation. These factors should be prioritised by policymakers, schools and parents.Highlights To our knowledge, our data provide the first multi-national estimates on physical activity and total screen time in European children roughly two months after COVID-19 was declared a global pandemic.Only 1 in 5 children met the WHO Global physical activity recommendations.Under pandemic conditions, parents should set pre-planned, consistent daily routines and integrate at least 2-hours outdoor activities into the daily schedule, preferable on each day. Schools should make P.E. lessons a priority. Decision makers should mandate online P.E. be delivered by schools during distance learning. Closing outdoor facilities for PA should be considered only as the last resort during lockdowns.

Implementation and outcome evaluation of a team nutrition intervention: increasing knowledge, attitudes, and preferences

Low-income, rural children are at a greater risk for poor dietary intake. Schools offer a venue to deliver appropriate interventions. Our aim was to evaluate the implementation and effectiveness of Healthy Schools, Healthy Students (HSHS). We conducted a mixed-methods evaluation using a cluster-randomized trial design with 20 schools in a rural, Midwestern state. HSHS included education sessions, cafeteria coaching and taste testing. We interviewed implementers (n = 13) and nutrition educators (n = 8), conducted six focus groups with cafeteria coaches, and surveyed fourth graders (n = 1057) about their nutrition knowledge, attitudes toward and preferences for fruits and vegetables (F&V), F&V consumption and MyPlate awareness. We used multi-level linear models to estimate the intervention effect and qualitative data were coded. There were very few challenges to implementation. HSHS participation was positively associated with knowledge, attitudes toward F&V, preferences for vegetables from the taste tests, MyPlate awareness and vegetable consumption. HSHS was viewed as beneficial and easy to deliver, suggesting this type of intervention could be widely implemented. Improving knowledge and attitudes through nutrition education and preferences through taste testing have the potential to improve dietary intake among rural students. Low-cost nutrition interventions can be successfully implemented in rural elementary schools with positive outcomes.

Differences in Child Physical Activity Levels at Rural Play Streets Due to Activity Type and Sex

Children are significantly less active during summer months, and rural children may face unique barriers to engaging in physical activity. Play Streets is a low-cost way communities can provide safe play opportunities by activating public spaces. Four low-income rural communities received mini-grants to implement four three-hour Play Streets throughout summer 2017 for a total of 16 Play Streets. System for Observing Play and Recreation in Communities (SOPARC) and iSOPARC were used to assess physical activity. Chi-square tests of homogeneity determined significant differences in the proportion of children observed as active based on sex and target area type. Binomial logistic regression was used to determine if target area characteristics (i.e., type, equipped, supervised, organized) and presence of other active children or adults increased the odds of observing a child as active. In total, 1,750 children were observed across all 16 Play Streets; roughly half of all children (48.6% of boys, 48.7% of girls) were observed as active. There was no significant difference in proportion of children observed as active based on sex of the child (OR = 0.99, 95% CI:0.82-1.20). Significant differences in the proportion of active children were found between target area categories. Boys were significantly more likely to be observed as active in areas which were equipped or organized. All children were significantly more likely to be active if there was another active child present in the same area. These results add to the growing literature surrounding successful implementation of Play Streets in rural settings, social influence, and active play.

The impact of state policies for school-based BMI/fitness assessments on children's BMI outcomes in rural versus urban schools: Evidence from a natural experiment

Childhood obesity remains a public health crisis because of its alarming prevalence and potential for costly long-term health consequences, especially among rural children. Schools are considered natural loci for policies to combat obesity because children spend most of their active hours and consume a substantial share of their calories, at school. Recent state policy efforts have involved measuring children's BMI and/or fitness to notify parents or inform surveillance efforts, but the empirical evidence to date is far from definitive. This study leverages plausibly exogenous assignment of military families as a natural experiment to assess the association of such polices with children's BMI and obesogenic behaviors. The sample is stratified by urbanicity because of the likely differences in obesity prevalence and in environments necessary to support healthy lifestyles. Data were collected in 2013-2014 and analyzed in 2018-9. The policies were associated with lower odds of overweight (OR: 0.422; CI: 0.251-0.708) and at-risk of overweight (OR: 0.360; CI: 0.161-0.801) among children in rural, but not urban, schools. The policies were also associated with greater activity levels and less frequent intake of unhealthy foods, particularly among children attending rural schools. Results were robust to stratification based on urbanicity of the installation versus school, omission of family covariates, and other sensitivity analyses. Falsification checks on children's height, parental BMI outcomes, home food environments and neighborhood environments indicate findings are not driven by selection. BMI assessment policies were associated with children's BMI outcomes and health behaviors in rural, but not urban schools.

Measuring Temporal Differences in Rural Canadian Children's Moderate-to-Vigorous Physical Activity

The purpose of this study was to measure the factors that influence children’s moderate-to-vigorous physical activity (MVPA) during school curriculum time, recess time, and outside school time in a rural area. During the Fall and Winter of 2016, 34 boys and 55 girls aged 8–14 years from rural communities in rural Northwestern Ontario participated in the Spatial Temporal Environment and Activity Monitoring project. The children’s MVPA was measured using an accelerometer, and child-level demographic, behavioral, and environmental data were gathered from surveys, passively logging global positioning units, and municipal datasets. Data on daily temperature and precipitation were gathered from the closest Environment Canada weather station. A mixed model was used to assess the relationship between child- and day-level factors and children’s MVPA. On average, children were getting 12.9 min of MVPA during recess, 17.7 min during curriculum time, and 29.0 min of MVPA outside school time. During all three time points, boys were more active than girls. During curriculum time, children in lower grades were more active, and the weather had differing impacts depending on the time of day. The findings of this study illustrate the differences in MVPA and the factors that influence MVPA by time of day. Examining different time segments provides valuable information for understanding children’s MVPA patterns.

The role of socio-economic factors in food consumption of Portuguese children and adolescents: results from the National Food, Nutrition and Physical Activity Survey 2015-2016

This study aimed to evaluate the association between socio-economic factors and the food consumption of a young population. Participants were from the Portuguese National Food, Nutrition and Physical Activity Survey (IAN-AF 2015-2016) aged from 3 to 17 years (n 1153). Food consumption was assessed using two non-consecutive days of food diaries in children and two 24-h recalls for adolescents. A latent class analysis (LCA) was used to classify children's socio-economic status (socio-economic composite classification (SCC)), categorised in low, middle or high. The associations between socio-economic variables and food consumption were evaluated through linear or logistic regression models, weighted for the Portuguese population distribution. A positive association was found between belonging to a higher level of SCC and consumption of fruits and vegetables (FV), by children (β = 2·4, 95 % CI 1·1, 3·8) and by adolescents (β = 52·4, 95 % CI 9·6, 95·3). A higher SCC, but particularly higher maternal education, was positively associated with consumption of 'white meat, fish and eggs'. Both higher SCC and parental education were positively associated with salty snack consumption in the adolescents' group. In conclusion, children and adolescents with higher educated parents and belonging to a high socio-economic level have a higher daily intake of FV and white meat, fish and eggs. Socio-economic factors play an important role in justifying differences in the food consumption of children and adolescents and must be considered in future interventions. The relationship between higher socio-economic position and salty snack consumption in adolescents needs to be further explored in other populations.

Correlates of Physical Activity, Psychosocial Factors, and Home Environment Exposure among U.S. Adolescents: Insights for Cancer Risk Reduction from the FLASHE Study

BACKGROUND AND AIMS

Physical activity (PA) can bring numerous health benefits to adolescents and can largely aid in reducing the various types of cancer risks in their lifespans. However, few adolescents meet the physical activity guidelines recommended by the National Cancer Institute in the United States. Our study aimed to examine the multilevel determinants potentially influencing adolescent's PA participation.

METHODS

A secondary analysis of physical activity, home and school neighborhood, and other psychosocial data from 1504 dyads of adolescents and their parents who participated in the 2014 Family Life, Activity, Sun, Health, and Eating (FLASHE) study was performed. Analysis of variance and general linear model analyses were used to examine the correlates.

RESULTS

General linear modeling revealed that younger adolescents participated in greater levels of PA than older adolescents (p < 0.001). Adolescents whose parents reported meeting PA guidelines participated in greater amounts of PA (p < 0.001). Parental support of adolescent PA (p < 0.001) was also predictive of adolescent PA levels. Furthermore, parents who reported meeting moderate-to-vigorous physical activity (MVPA) guidelines were more likely to have teenagers that engaged in higher amounts of PA (p < 0.001).

DISCUSSION AND CONCLUSIONS

Our findings imply a dynamic relationship between adolescent and parent MVPA levels. Interventions focused on increasing parental MVPA and encouraging parents to engage in promoting PA are merited in order to aid in increasing PA among adolescents while reducing the cancer risk.

Nutritional problems in childhood and adolescence: a narrative review of identified disparities

To inform programmes and policies that promote health equity, it is essential to monitor the distribution of nutritional problems among young individuals. Common nutritional problems include overall low diet quality, the underconsumption and overconsumption of certain dietary components, unhealthy meal and snack patterns, problematic feeding practices and disordered eating. The objective of the present narrative review was to summarise recent evidence of disparities among US children (2-19 years) according to age, sex, socio-economic status, ethnicity/race and rural-urban location. Searches in PubMed® and MEDLINE® were completed to identify peer-reviewed research studies published between January 2009 and January 2019. Findings from the ninety-nine reviewed studies indicate adolescent females, young individuals from lower socio-economic households and individuals who identify as non-Hispanic Black race are particularly vulnerable populations for whom targeted strategies should be developed to address evidence of increased risk with regards to multiple aspects of nutritional wellbeing. Limitations of the existing evidence relate to the accuracy of self-reported dietary data; the need for consistent definitions of disordered eating; the focus on individual dietary components v. patterns; the complexities of categorising socio-economic status, ethnicity/race, and rural and urban areas; and the cross-sectional, observational nature of most research designs. There is an urgent need for research to address these limitations and fill a large gap in evidence on rural-urban differences in nutritional problems. It will further be important for future studies to build greater understanding of how nutritional problems cluster among population groups.

Regional and socioeconomic variations in dietary patterns in a representative sample of young polish females: a cross-sectional study (GEBaHealth project)

Background

Associations between dietary patterns (DPs) and socioeconomic correlates among adolescents from emerging economy countries are not fully understood. The study analysed variations in DPs adherence depending on country regions and family socioeconomic status (SES) among Polish females.

Methods

Data from a representative sample (n = 1107) of Polish females 13–21-year-old was used. Four DPs were previously identified by principal component analysis. Regions were ranked by Gross Domestic Product. A SES index as an overall measure of family SES was developed. Multiple logistic regression models adjusted for age and body mass index were created.

Results

Higher adherence to ‘Fast-food and sweets’ DP was found in the less affluent (North) region when compared to four other regions (Odds ratio (OR): 1.94 to 1.63). Higher adherence to ‘Fruit and vegetables’ DP was found in more affluent regions when compared to poorer regions: East and North-East (OR 1.71 to 1.81 and 1.69 to 2.23, respectively). Higher adherence to ‘Traditional Polish’ DP was found in 4 out of 5 regions (OR 2.02 to 2.53) when compared to the East. Higher family SES was associated with higher adherence to ‘Fruit and vegetables’ DP (OR 2.06) and lower adherence to ‘Traditional Polish’ DP (OR 0.27).

Conclusions

The study revealed that region’s affluence is strongly reflected in dietary behaviours of young females from a transitioning country. Recognising geographical distribution of dietary patterns within the country and shifting the resources to economically disadvantaged regions might be more effective than current national public health interventions.

Differences in Lifestyle Behaviours of Students between Inner Urban and Peri-urban High Schools: A Cross-Sectional Study in Chongqing, China

Background: Lifestyle behaviours of students from schools in different socioeconomic areas may be different. Few studies have investigated such topics in China. This study aimed to explore the differences in lifestyle behaviours between inner urban high school students (IUHSSs) and peri-urban high school students (PUHSSs). Methods: A cross-sectional survey based on a self-report questionnaire was administered among 1560 high school students (726 from inner urban high schools and 834 from peri-urban high schools) in Chongqing, China. Physical activity, sleep time, screen time and dietary behaviours were assessed according to a series of recommendations of Chinese guidelines. Results: No significant difference was found in meeting the recommendation for daily physical activity between IUHSSs and PUHSSs (7.6% vs. 6.8%, p > 0.05). PUHSSs were more likely to meet the recommendations of weekdays’ sleep time (14.9% vs. 5.4%, p < 0.001), weekdays’ and weekends’ screen time (85.4% vs. 76.7%, p < 0.001; 21.1% vs. 14.3%, p < 0.001), and had higher proportion of high-score group of dietary behaviours (58.6% vs. 36.4%, p < 0.001) than those of IUHSSs. IUHSSs were more likely to meet the recommendation of weekends’ sleep time (75.6% vs. 67.9%, p < 0.001) than that of PUHSSs. Conclusions: A low proportion met the recommendations of physical activity, weekdays’ sleep time and weekends’ screen time among high school students in Chongqing, China. Lifestyle behaviours may differ between inner urban and peri-urban high school students. Additional support or targeted health education should be provided by high schools to improve the lifestyle behaviours of students, especially in inner urban districts.

The relationship between living in urban and rural areas of Scotland and children's physical activity and sedentary levels: a country-wide cross-sectional analysis

Background

Living in urban or rural environments may influence children’s levels of physical activity and sedentary behaviours. We know little about variations in device-measured physical activity and sedentary levels of urban and rural children using nationally representative samples, or if these differences are moderated by socioeconomic factors or seasonal variation. Moreover, little is known about the influence of ‘walkability’ in the UK context. A greater understanding of these can better inform intervention strategies or policy initiatives at the population level.

Methods

Country-wide cross-sectional study in Scotland in which 774 children (427 girls, 357 boys), aged 10/11 years, wore an accelerometer on one occasion for at least four weekdays and one weekend day. Mean total physical activity, time spent in sedentary, light, and moderate-to-vigorous physical activity (MVPA), per day were extracted for weekdays, weekend days, and all days combined. Regression analyses explored associations between physical activity outcomes, urban/rural residence, and a modified walkability index (dwelling density and intersection density); with interactions fitted for household equivalised income and season of data collection. Sensitivity analyses assessed variation in findings by socioeconomic factors and urbanicity.

Results

Rural children spent an average of 14 min less sedentary (95% CI of difference: 2.23, 26.32) and 13 min more in light intensity activity (95% CI of difference, 2.81, 24.09) per day than those from urban settlements. No urban-rural differences were found for time spent in MVPA or in total levels of activity. Our walkability index was not associated with any outcome measure. We found no interactions with household equivalised income, but there were urban/rural differences in seasonal variation; urban children engaged in higher levels of MVPA in the spring months (difference: 10 mins, p = 0.06, n.s) and significantly lower levels in winter (difference: 8.7 mins, p = 0.036).

Conclusions

Extrapolated across one-year, rural children would accumulate approximately 79 h (or just over 3 days) less sedentary time than urban children, replacing this for light intensity activity. With both outcomes having known implications for health, this finding is particularly important. Future work should prioritise exploring the patterns and context in which these differences occur to allow for more targeted intervention/policy strategies.

High School Physical Activity and Nutrition Policy: Summarizing Changes Over Time Using Latent Class Analysis

INTRODUCTION

High school physical activity and nutrition policies can substantially affect student behavior and outcomes. Although public health officials and legislators have advocated for policy improvements, the extent to which policies have changed at local levels is not well understood. This study identifies latent classes of physical activity and nutrition policy environments and explores changes in prevalence of these classes from 2000 to 2016.

METHODS

Data from the School Health Policies and Practices Study, a repeated cross-sectional survey from the Centers for Disease Control and Prevention administered at the school district level in 2000, 2006, 2012, and 2016, were analyzed in 2018. Using latent class analysis, policy environment subgroups were identified, described, and then dichotomized based on satisfaction in meeting recommendations. Associations of latent classes with year and urbanicity were evaluated using logistic regression.

RESULTS

Five latent classes were identified each for physical activity and nutrition policy environments, all with distinct characteristics. Physical activity policies improved from 2000 to 2006 (p<0.001) and then plateaued until 2016, whereas nutrition policies improved consistently from 2000 to 2016 (p<0.001, p=0.011, p<0.001). Though significant disparities between urban and rural school districts were found, these disparities narrowed during the studied years, particularly for physical activity policies.

CONCLUSIONS

The estimated proportion of school districts with satisfactory physical activity and nutrition policy environments increased from 2000 to 2016, possibly because of legislative and policy advocacy efforts. However, many areas for improvement remain. Unsatisfactory latent classes that remained prevalent though 2016 may highlight policy domains that should be targeted by future interventions or subject to further research.

Socio-economic and cultural disparities in diet among adolescents and young adults: a systematic review

OBJECTIVE

To explore dietary differences according to socio-economic and sociocultural characteristics of adolescents and young adults.

DESIGN

A systematic review was conducted.

SETTING

The main search source was MEDLINE, consulted between January 2012 and March 2017. Quality of selected studies was assessed based on dietary measurement method, sample selection, socio-economic indicator choice and statistical modelling.

PARTICIPANTS

Cross-sectional and longitudinal studies, assessing relationships between socio-economic status and dietary intake (patterns, scores and food groups) in the 10- to 40-year-old general population of high-income countries, were selected.

RESULTS

Among the 7250 reports identified, forty were selected, seventeen of which were of high quality; their conclusions, related only to adolescents, were combined and presented. The most favourable dietary patterns, higher dietary scores, greater consumption of fruits, vegetables and dairy products, and lower consumption of sugary sweetened beverages and energy-dense foods, were associated with better parental socio-economic status, particularly in terms of higher education. Migrant status was associated with plant-based patterns, greater consumption of fruits and vegetables and of sugary sweetened beverages and energy-dense foods. For the other food groups, and for young adults, very few high-quality studies were found.

CONCLUSIONS

The socio-economic gradient in adolescent diets requires confirmation by higher-grade studies of a wider set of food groups and must be extended to young adult populations. Future nutritional interventions should involve the most vulnerable adolescent populations, taking account of socio-economic status and migration.

Rural-urban differences in health among youth in northern Sweden: an outcome-wide epidemiological approach

The aim of this research was to contribute knowledge about rural–urban differences in health among young northern Swedish women and men. This study was based on the 2014 “Health on Equal Terms” survey, distributed in the four northernmost counties of Sweden, with complementary information on areas of residence classified as rural, semi-urban and urban from total population registers. The analytical sample included 2,691 individuals who were selected using a probabilistic sampling method. Prevalence ratios were calculated in multivariable log-binomial regression analyses to measure the association between place of residence and nine outcomes covering three health dimensions (general, mental and lifestyle behaviours). The results indicated that daily smoking and being overweight were more common, while feelings of stress and psychological distress were less prevalent, among youths in rural as compared to urban areas. After including covariates, this pattern appeared stronger for young women, although the direction of the results also applied to young men, albeit without revealing significant differences. In conclusion, the findings from this study indicate that for youths – particularly young women – the rural setting may imply an increased risk of poor general health and lifestyle behaviours, while simultaneously playing a partially protective role for mental health.

Rural-Urban Differences in Baseline Dietary Intake and Physical Activity Levels of Adolescents

INTRODUCTION

Differences in dietary intake and physical activity may explain the higher prevalence of obesity among adolescents living in rural versus urban settings. The objective of this cross-sectional secondary analysis was to compare baseline dietary intake and physical activity of adolescents by rurality.

METHODS

We analyzed data on 940 adolescents who participated in ACTION PAC (Adolescents Committed to Improvement of Nutrition and Physical Activity), an obesity prevention and management intervention trial conducted from 2014 through 2017 in 8 public high schools in the southwestern United States. Dietary intake was assessed with the Block Food Screener, and participants completed an exercise log and wore an accelerometer to provide data on physical activity. We compared data by rural-urban commuting area (RUCA) codes and log population density by using multilevel models, with students nested within zip code and repeated measures for accelerometer analysis.

RESULTS

After adjusting for socioeconomic status and ethnicity, accelerometer data indicated that moderate-to-vigorous physical activity was 8.17 min/d (P = .02) higher and sedentary time was 20.42 min/d (P = .02) lower in moderately urban areas than in the urban reference area. Each 1-unit increase in log population density was associated with higher reported intake of whole grains (0.02 ounce equivalents, P = .03), potatoes (0.01 cup equivalents, P = .02), and added sugar (0.37 tsp, P = .02) after adjusting for socioeconomic status and ethnicity.

CONCLUSION

Differences in reported dietary intake and physical activity level by measures of rurality were small and inconsistent in direction to explain the disparities observed in rural versus urban areas.

A Low-Cost, Grab-and-Go Breakfast Intervention for Rural High School Students: Changes in School Breakfast Program Participation Among At-Risk Students in Minnesota

OBJECTIVE

Evaluate the impact of a grab-and-go component embedded within a larger intervention designed to promote School Breakfast Program (SBP) participation.

DESIGN

Secondary data analysis.

SETTING

Rural Minnesota high schools.

PARTICIPANTS

Eight schools were enrolled in the grab-and-go only intervention component. An at-risk sample of students (n = 364) who reported eating breakfast ≤3 d/wk at baseline was enrolled at these schools.

INTERVENTIONS

Grab-and-go style breakfast carts and policies were introduced to allow all students to eat outside the cafeteria.

MAIN OUTCOME MEASURES

Administrative records were used to determine percent SBP participation (proportion of non-absent days on which fully reimbursable meals were received) for each student and school-level averages.

ANALYSIS

Linear mixed models.

RESULTS

School-level increases in SBP participation from baseline to the school year of intervention implementation were observed for schools enrolled in the grab-and-go only component (13.0% to 22.6%). Student-level increases in SBP participation were observed among the at-risk sample (7.6% to 21.9%) and among subgroups defined by free- or reduced-price meal eligibility and ethnic or racial background. Participation in SBP increased among students eligible for free or reduced-price meals from 13.9% to 30.7% and among ineligible students from 4.3% to 17.2%.

CONCLUSIONS AND IMPLICATIONS

Increasing access to the SBP and social support for eating breakfast are effective promotion strategies.

Prevalence of and Differences in Salad Bar Implementation in Rural Versus Urban Arizona Schools

BACKGROUND

Rural children consume more calories per day on average than urban children, and they are less likely to consume fruit. Self-service salad bars have been proposed as an effective approach to better meet the National School Lunch Program's fruit and vegetable recommendations. No studies have examined how rural and urban schools differ in the implementation of school salad bars.

OBJECTIVE

To compare the prevalence of school-lunch salad bars and differences in implementation between urban and rural Arizona schools.

DESIGN

Secondary analysis of a cross-sectional web-based survey.

PARTICIPANTS/SETTING

School nutrition managers (N=596) in the state of Arizona.

MAIN OUTCOMES MEASURED

National Center for Education Statistics locale codes defined rural and urban classifications. Barriers to salad bar implementation were examined among schools that have never had, once had, and currently have a school salad bar. Promotional practices were examined among schools that once had and currently have a school salad bar.

STATISTICAL ANALYSES PERFORMED

Generalized estimating equation models were used to compare urban and rural differences in presence and implementation of salad bars, adjusting for school-level demographics and the clustering of schools within districts.

RESULTS

After adjustment, the prevalence of salad bars did not differ between urban and rural schools (46.9%±4.3% vs 46.8%±8.5%, respectively). Rural schools without salad bars more often reported perceived food waste and cost of produce as barriers to implementing salad bars, and funding was a necessary resource for offering a salad bar in the future, as compared with urban schools (P<0.05). No other geographic differences were observed in reported salad bar promotion, challenges, or resources among schools that currently have or once had a salad bar.

CONCLUSIONS

After adjustment, salad bar prevalence, implementation practices, and concerns are similar across geographic settings. Future research is needed to investigate methods to address cost and food waste concerns in rural areas.

Weight Loss Success of Participants Residing in Rural and Urban Areas

PURPOSE

Rural residents are significantly more likely to be overweight and obese than are urban residents. However, few data have compared weight control program responses in these population groups. Therefore, the primary aim of this study was to evaluate the weight loss outcomes of participants in a multisite, online behavioral intervention by residential location (rural vs urban) and, second, assess any possible differences in adherence to treatment goals.

METHODS

A total of 492 adult participants (mean BMI = 35.7 kg/m² ; 90% female; 24% minority) were categorized based on their home ZIP code and the 2010 US Census Urban and Rural Classification criteria (58.3% rural; 41.7% urban). Weight (kg) was measured in-person at baseline and 6 months after participating in a behavioral weight control intervention. Adherence to physical activity and calorie and fat intake goals was assessed based on weekly self-monitoring journals. Weekly online chat attendance and completion of weekly online self-monitoring journals were recorded. Presence of obesogenic foods in the home was self-reported at baseline and 6 months.

FINDINGS

There were no statistically significant differences in weight loss between rural and urban participants (-6.1 kg vs -5.3 kg, P = .16), nor were there differences in chat attendance, self-monitoring journals, self-reported physical activity, calorie intake, or obesogenic foods reported in the household.

CONCLUSIONS

Overall, there was no difference in weight loss and adherence to treatment goals for rural and urban participants. Further research on rural and urban residents is necessary to explore the factors responsible for the disparity in obesity prevalence.

Sleep and dietary habits in the urban environment: the role of chrono-nutrition

The urban environment has changed vastly over past decades, which also has had an impact on our sleep and dietary patterns and possibly health outcomes. Some studies have shown that sleep duration and sleep quality has declined over past decades, especially in children. In parallel, our lifestyle and dietary patterns have also changed including more shift work, more meals outside the home or family setting and more irregular eating patterns, including breakfast skipping and late-night eating. This new area of research in nutritional sciences studying the impact of the timing of eating on health outcomes is called chrono-nutrition, and combines elements from nutritional research with chrono-biology. The objectives of this paper were to discuss secular trends in sleep patterns and related dietary patterns, introduce basic concepts and mechanisms of chrono-nutrition and discuss the evidence for the importance of sleep and chrono-nutrition in relation to health outcomes. Overall, chrono-nutrition could mediate the effects between sleep, diet and urbanisation, and more research is needed to elucidate the importance of chrono-nutrition for metabolic health and its impact on public health.

Citizen science applied to building healthier community environments: advancing the field through shared construct and measurement development

BACKGROUND

Physical inactivity across the lifespan remains a public health issue for many developed countries. Inactivity has contributed considerably to the pervasiveness of lifestyle diseases. Government, national and local agencies and organizations have been unable to systematically, and in a coordinated way, translate behavioral research into practice that makes a difference at a population level. One approach for mobilizing multi-level efforts to improve the environment for physical activity is to engage in a process of citizen science. Citizen Science here is defined as a participatory research approach involving members of the public working closely with research investigators to initiate and advance scientific research projects. However, there are no common measures or protocols to guide citizen science research at the local community setting.

OBJECTIVES

We describe overarching categories of constructs that can be considered when designing citizen science projects expected to yield multi-level interventions, and provide an example of the citizen science approach to promoting PA. We also recommend potential measures across different levels of impact.

DISCUSSION

Encouraging some consistency in measurement across studies will potentially accelerate the efficiency with which citizen science participatory research provides new insights into and solutions to the behaviorally-based public health issues that drive most of morbidity and mortality. The measures described in this paper abide by four fundamental principles specifically selected for inclusion in citizen science projects: feasibility, accuracy, propriety, and utility. The choice of measures will take into account the potential resources available for outcome and process evaluation. Our intent is to emphasize the importance for all citizen science participatory projects to follow an evidence-based approach and ensure that they incorporate an appropriate assessment protocol.

CONCLUSIONS

We provided the rationale for and a list of contextual factors along with specific examples of measures to encourage consistency among studies that plan to use a citizen science participatory approach. The potential of this approach to promote health and wellbeing in communities is high and we hope that we have provided the tools needed to optimally promote synergistic gains in knowledge across a range of Citizen Science participatory projects.