Urban-Rural Differences in Overweight Status and Physical Inactivity Among US Children Aged 10-17 Years

Community-Based Participatory Obesity Prevention Interventions in Rural Communities: A Scoping Review

Child obesity is a worldwide public health concern. In America, children from rural areas have greater odds of obesity in comparison to those from urban areas. Community-engaged research is important for all communities, particularly under-represented communities. This paper reports the results of a scoping review investigating community-engaged research in obesity prevention programs tested with school-aged children in rural America. A literature search of Medline Ovid was conducted to identify interventions reporting the results of obesity prevention interventions that promoted a healthy diet or physical activity (PA) behaviors to school-age children in rural communities of the United States (US). After title and abstract review, potentially relevant citations were further examined by assessing the full text. Each stage of review was conducted by two independent reviewers. Twelve studies met the inclusionary criteria and are included in this review. Most of the studies focused on elementary school participants (n = 7) and improving both diet and PA (n = 9). Out of the twelve studies, only five included the target audience in intervention development or implementation. The most popular type of community engagement was community participation (n = 4). This review revealed that community-engaged research is under-utilized in obesity prevention interventions tested with school-aged children in rural US communities.

Urban-Rural Disparities in Food Insecurity and Weight Status among Children in the United States

Place of residence (urban versus rural) is a contextual determinant of health that has received less attention in the food insecurity literature. The purpose of this study was to assess the urban-rural disparity in the prevalence of food insecurity and weight status among US children. Using data from the National Health and Nutrition Examination Survey (NHANES) 2013-2016 with three age groups of children (2-5, 6-11, and 12-17 years old), the associations of weight status and child and household food security status by urban-rural residence were examined using Rao-Scott Chi-square tests. Statistical significance was set at p < 0.05. Children living in urban areas were significantly more likely to experience household food insecurity (29.15%) compared to their rural counterparts (19.10%), among those aged 6-11 years. The associations between children's weight status and child and household food security status were significant for children living in urban areas overall and different age groups but not for children living in rural areas. These trends were more pronounced in older age groups. Given the link between food insecurity and higher obesity rates, particularly among urban children, this study highlights the importance of incorporating food security interventions into future obesity prevention programs.

Regional Variability in the Prevalence of Food Insecurity and Diet Quality among United States Children

Understanding the association between food security status (FSS) and diet quality in children is crucial. This study investigated regional variability in FSS, participation in the federal nutrition assistance program (FNAP), and diet quality among US children. National Health and Nutrition Examination Survey (NHANES) data from 2013 to 2016 were analyzed. The association between FSS, FNAP participation, and diet quality (Healthy Eating Index-HEI-2015) was assessed using multiple linear/logistic regression models. The sample included 6403 children (mean age: 7.5 years; 51% male; 33% Hispanic). Within the sample, 13% reported child food insecurity, and 30% reported household food insecurity. Additionally, 90% participated in the FNAP, and 88% were enrolled in school lunch programs. Children in urban areas were significantly more likely to report household food insecurity than those in rural areas (29.15% vs. 19.10%). The overall HEI-2015 score was 48.2. The associations between child/household FSS and FNAP participation as well as between child/household FSS and diet quality did not differ by urban/rural residence status, irrespective of the children's age groups. There is a need for improvement in children's diet quality, regardless of age or urban/rural residence. The findings suggest that improving children's diets requires broader action as well as the prioritizing of children in urban areas experiencing food insecurity in future dietary interventions.

Youth Sport Participation by Metropolitan Status: 2018-2019 National Survey of Children's Health (NSCH)

Purpose: This cross-sectional study used data from the 2018-2019 National Survey of Children's Health to examine the association between metropolitan statistical area (MSA) status and sports participation among American youth ages 6-17. Methods: Weighted prevalence statistics were computed for sports participation by MSA status (non-MSA, MSA), overall and by child sex and age. Modified Poisson regression was used to estimate prevalence ratios (PR) for non-MSA versus MSA youth, before and after adjusting for special health-care needs, race/ethnicity, household income, parent education, and family structure. Results: The final sample included 30,029 youth [Mage = 11.6 years (SD = 0.4), 51.4% female, 49.0% White]. About 56% participated in sports in the past year. Sports participation was significantly higher among females versus males [59.1% (95% CI: 57.4%-60.7%) versus 52.1% (95% CI: 50.4%-53.8%), p < .001]. Among ages 6-11, those in non-MSAs (versus MSAs) were less likely to participate in sports [PR 0.92 (95% CI: 0.86-0.99), p = .033], which was non-significant after adjustment. In adjusted models, youth ages 12-17 in non-MSAs (versus in MSAs) were more likely to participate in sports overall [aPR 1.07 (95% CI: 1.00-1.15), p = .042] and among males [aPR 1.12 (95% CI: 1.01-1.23), p = .026]. Conclusion: The relationship between MSA status and sports participation may be largely driven by factors that affect youth's ability to participate in sports. Sports participation was higher among females versus males overall. In the models adjusted for demographics, non-MSA youth ages 12-17 were more likely to participate, particularly males. Efforts promoting youth sports should consider differences in socio-demographic factors between MSA versus non-MSA areas to help increase participation.

Assessment of Diet Quality in Children and Adolescents with Overweight or Obesity in Greece

The adoption of healthy nutritional habits constitutes one of the most important determinants of healthy growth and development in childhood. Few studies in Greece have examined children's diet quality using diet indices. The present study aimed to assess the diet quality of a large cohort of children and adolescents with overweight or obesity. Study participants (n = 1335), aged 2-18, were recruited through the Out-patient Clinic for the Prevention and Management of Overweight and Obesity in Childhood and Adolescence, Aghia Sophia Children's Hospital, Athens, Greece. Anthropometric, socio-demographic, and behavioral data were collected using standard methods and equipment. The Diet Quality Index (DQI), which includes four subcomponents (i.e., dietary diversity, dietary quality, dietary equilibrium, and meal index), was calculated to assess each subject's diet quality. According to the results of this study, children's total DQI score was 63.1%. It was observed that 66.7% of the children had at least moderate diet quality (total DQI ≥ 59.34%). Boys had higher values of the total DQI and certain components of the DQI (i.e., dietary equilibrium score and meal index) compared to girls. Three out of ten children with overweight/obesity had poor diet quality (i.e., DQI ≤ 59.33). Younger children (2-5 years old) were found to have the lowest values of dietary equilibrium compared to older children (6-9 and 12-18 years old). Moreover, boys had higher values of the total DQI score and of specific components of this index (i.e., dietary equilibrium and meal index) compared to girls. Children living in urban areas had higher values in the dietary quality score compared to those living in rural areas. Children with overweight had higher values of the dietary quality score and the total DQI score compared to children with obesity. The present study highlighted that children and adolescents with overweight or obesity have poor diet quality. Multilevel and higher intensity interventions should be designed specifically for this group to achieve tangible outcomes.

Participation in a School-Based Wellness Initiative Associated With Improved K-12 Student Body Mass Index Trends

BACKGROUND

Associations between school participation in an academic medical center-supported school-based wellness initiative and programmatic components implemented with change in average student body mass index (BMI) over time were examined.

METHODS

This was an observational study of 103 K-12 South Carolina schools over school years 2014-2018, classified as participating (n = 87 schools, 27,855 students) or non-participating (n = 16 schools; 3608 students). Associations between students' BMI z-score (BMIz) and school participation were evaluated by linear multilevel mixed-effects modeling using data from FitnessGram and the School Wellness Checklist© (SWC), respectively.

RESULTS

One-third of the students had a BMI percentile ≥85. Average student BMIz decreased in participating schools (p = .026) and increased in non-participating schools (p = .004) over time. For schools that participated two or more years, there was an inverse relationship between SWC score and student BMIz (p = .002) that did not differ by school type, rural/urban location, Title 1 status, or student sex. Physical activity and stress management interventions for students, as well as employee wellness and establishing a wellness committee at the school level were significantly associated with decreased average student BMIz (all p < .05).

CONCLUSION

Implementation of similar comprehensive school-based wellness programs focused on improving physical activity, stress management, and employee engagement may help prevent and reduce pediatric obesity in diverse communities.

Physical Inactivity, Inequalities, and Disparities Across Districts of Iran: A STEPs Survey-Based Analysis

BACKGROUND

We aimed to estimate the prevalence of physical inactivity in all districts of Iran and the disparities between subgroups defined by various measures.

METHODS

Small area estimation method was employed to estimate the prevalence of physical inactivity in districts based on the remaining districts in which data on the level of physical inactivity were available. Various comparisons on the estimations were done based on socioeconomic, sex, and geographical stratifications to determine the disparities of physical inactivity among districts of Iran.

RESULTS

All districts of Iran had a higher prevalence of physical inactivity compared with the world average. The estimated prevalence of physical inactivity among all men in all districts was 46.8% (95% uncertainty interval, 45.9%-47.7%). The highest and lowest estimated disparity ratio of physical inactivity were 1.95 and 1.14 in males, and 2.25 and 1.09 in females, respectively. Females significantly had a higher prevalence of 63.5% (62.7%-64.3%). Among both sexes, the poor population and urban residents significantly had higher prevalence of physical inactivity than rich population and rural residents, respectively.

CONCLUSIONS

The high prevalence of physical inactivity among Iranian adult population suggests the urgent need to adopt population-wide action plans and policies to handle this major public health problem and avert the probable burden.

Analysis of Self-Perceived Physical Fitness of Physical Education Students in Public Schools in Extremadura (Spain)

Adolescence is a stage of crucial physiological and psychological changes within the individual's life cycle, where fitness work is important. With self-perception being crucial in relation to adolescent health and well-being, a positive perception of fitness is directly related to increased practice or higher level of physical activity (PA). Thus, the aims were: (1) to analyze, with the Visual Analogue Fitness Perception Scale for Adolescents (FP VAS A), the self-perceived physical fitness (PF) of high school students, (2) to investigate if there are differences according to sex and school location, and (3) to study the correlations between the items of the FP VAS A with age and body mass index (BMI). For this purpose, a cross-sectional study was designed with a total of 961 participants, 48.8% boys and 51.2% girls in secondary education, where 31.9% studied in rural schools and 68.1% in urban schools. The FP VAS A scale was used to assess self-reported PF. Regarding the results, there were statistically significant differences between sexes (p < 0.001), with boys showing higher scores than girls in all the items of the FP VAS A scale, with the exception of global flexibility. Inverse, mean and significant correlations were established between BMI and self-perceived overall PF (r = -0.202; p < 0.001), cardiorespiratory endurance (r = -0.226; p < 0.001) and movement speed (r = -0.268; p < 0.001). Between age and self-perceived cardiorespiratory endurance (r = -0.138; p < 0.001) an inverse, mean and significant correlation was also observed. In conclusion, boys showed a better self-perception of PF than girls for all physical abilities, with the exception of flexibility. School location was not shown to influence students' self-perceived PF. In addition, most of the self-perceived PF abilities for overall fitness correlated inversely with BMI.

Movement Behaviour and Health Outcomes in Rural Children: A Systematic Review

BACKGROUND

Studies with rural children are limited, and results are divergent regarding the information on movement behaviours.

PURPOSE

to (i) describe the physical activity and sedentary behaviour in children; (ii) synthetize the year and place of publication, methodological quality, and instruments used to measure physical activity and sedentary behaviour; and (iii) to analyse the relationship between physical activity, sedentary behaviour, and health outcomes in these children.

METHODS

We use the databases PubMed, Web of Science, SPORTDiscus, Scopus, Virtual Health Library, and SciELO, considering papers published until October 2021. A total of 12,196 studies were identified, and after the exclusion of duplicate, title and abstract screening, and the full-text assessment, a total of 68 were included in the study.

RESULTS

A cross-sectional design was dominant among the studies, with sample sizes ranging from 23 to 44,631 children of both sexes. One-third of the studies were conducted in North America and Europe, and most of them used device-based measurements. Inequalities were observed regarding sex, age, economic level, race, and physical activity domains within and between the places of residence. Sociodemographic characteristics were also related to health outcomes for children living in rural and urban areas.

CONCLUSION

It is necessary to increase the evidence on movement behaviours among children living in the countries of South America and Oceania, as well as to increase the level of evidence on the role of school for physical activity in children in rural areas, given the inconsistent findings.

Urban-Rural Differences in Mental and Physical Health among Primary Care Patients with Multiple Chronic Conditions: A Secondary Analysis from a Randomized Clinical Trial

PURPOSE

Rural health disparities are largely attributable to access to healthcare, socioeconomic status, and health behaviors. Little is known about the persistence of these disparities when differences in access to care are eliminated. We sought to investigate urban-rural differences in physical and mental health in primary care patients with demonstrated access to primary care.

METHODS

We obtained cross-sectional survey responses from a multicenter randomized controlled trial on 2726 adult primary care patients with multiple chronic medical or behavioral conditions from 42 primary care practices in 13 states. Study outcomes include measures of mental health including: The Patient-Reported Outcomes Measurement Information System (PROMIS-29®), General Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9), as well as physical health including: the PROMIS-29® and the Duke Activity Status Index (DASI). Urban-rural residence was indicated by census-tract Rural Urban Commuting Areas of the participant's home address. Differences in mental and physical health outcomes attributable to rurality were assessed using multilevel models with a random intercept for census-tract.

RESULTS

After adjustment for demographic and neighborhood characteristics, urban residents had significantly worse generalized anxiety disorder (GAD-7) (ß = 0.7; 95% CI = 0.1, 1.3; p = 0.027), depression (PHQ-9) (ß = 0.7; 95% CI = 0.1, 1.4; p = 0.024), and functional capacity (DASI) (ß = -0.4; 95% CI = -0.5, -0.2; p < 0.001) compared to rural residents. Urban residents also had significantly worse anxiety and depression as measured by the PROMIS-29® compared to their rural counterparts. There were no urban-rural differences in the other PROMIS-29® subdomains.

CONCLUSIONS

Among adults with demonstrated access to care and multiple diagnosed chronic conditions, rural residents had better mental health and functional capacity than their urban counterparts. This finding is not consistent with prior research documenting rural health disparities and should be confirmed.

Investigation of obesity, eating behaviors and physical activity levels living in rural and urban areas during the covid-19 pandemic era: a study of Turkish adolescent

Background

The purpose of this study was to determine the eating behaviors, obesity and physical activity status of children of similar ages living in rural and urban areas and to examine these relationships during the coronavirus disease (COVID-19) pandemic process.

Method

The research was conducted using the scanning model. The research group consists of children living in rural and urban areas in Turkey. The sample of the study consists of a total of 733 adolescent participants, 351 females (47.9%) and 382 males (52.1%). After anthropometric measurements were made, the Physical Activity Questionnaire for older children and the Yale Food Addiction Scale for children 2.0 were used to determine the food addiction and physical activity status of children during the COVID19 pandemic process. Since the groups were homogeneously distributed, independent samples t-test and Pearson correlation test were used.

Result

In terms of food addiction and physical activity levels, children living in the urban have higher scores than children living in rural areas. In addition, children living in the urban were taller and have higher body mass values than those in rural areas. In terms of physical activity level and food addiction levels, while girls living in the urban had higher activity levels than those living in rural areas, no statistically significant difference was found between the physical activity levels of boys. When evaluated in terms of general and gender, it was determined that children living in rural areas were overweight and obese at a higher rate. Obese children had higher levels of food addiction and lower physical activity levels than non-obese children.

Conclusion

In order to prevent childhood obesity, the level of food addiction should be reduced as well as increasing the level of physical activity. This study is limited in terms of cross-sectional evaluation. Future research can experimentally reveal how much obesity is reduced by methods such as exercise and diet interventions.

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.

COVID-19 hospital and emergency department visitor policies in the United States: Impact on persons with cognitive or physical impairment or receiving end-of-life care

OBJECTIVE

To characterize the national distribution of COVID-19 hospital and emergency department visitor restriction policies across the United States, focusing on patients with cognitive or physical impairment or receiving end-of-life care.

METHODS

Cross-sectional study of visitor policies and exceptions, using a nationally representative random sample of EDs and hospitals during the first wave of the COVID-19 pandemic, by trained study investigators using standardized instrument.

RESULTS

Of the 352 hospitals studied, 326 (93%) had a COVID-19 hospital-wide visitor restriction policy and 164 (47%) also had an ED-specific policy. Hospital-wide policies were more prevalent at academic than non-academic (96% vs 90%; P < 0.05) and at urban than rural sites (95% vs 84%; P < 0.001); however, the prevalence of ED-specific policies did not significantly differ across these site characteristics. Geographic region was not associated with the prevalence of any visitor policies. Among all study sites, only 58% of hospitals reported exceptions for patients receiving end-of-life care, 39% for persons with cognitive impairment, and 33% for persons with physical impairment, and only 12% provided policies in non-English languages. Sites with ED-specific policies reported even fewer exceptions for patients with cognitive impairment (29%), with physical impairments (24%), or receiving end-of-life care (26%).

CONCLUSION

Although the benefits of visitor policies towards curbing COVID-19 transmission had not been firmly established, such policies were widespread among US hospitals. Exceptions that permitted family or other caregivers for patients with cognitive or physical impairments or receiving end-of-life care were predominantly lacking, as were policies in non-English languages.

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.

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.

Examining community-managed drug outlets' failure in geographically isolated and disadvantaged areas: insights from the consumers' end

Objectives

The article aimed to examine the impact of poor purchasing power, perceptions on the physical structure, and medicine demand to community-managed drug outlets or Botika ng Barangay (BnB) in the Philippines. The study investigated what contributes to program resiliency or failure in so far as the consumers in geographically isolated and disadvantaged area (GIDA) are concerned.

Methods

Findings were drawn from five sets of focus-group discussion (FGD) among residents, four in-depth interviews (IDIs) with former operators of BnB and three IDI with former members of the village council specifically assigned in health sector.

Key findings

The study found out that all our study variables namely; poor purchasing power, perceptions on BnBs' physical image, and limited medicines that do not match the consumers' medicine demand did not contribute to the failure of the program in their communities. However, the study found out that informal arrangements in the community which allowed people to just loan medicines without actually paying in return was intimately connected to BnBs' closure in the communities.

Conclusion

The study suggests that, in the context of GIDAs, the failure of community-managed drug outlets rests as well on financially unsustainable practices in the community. This, we believe, can be negated through provisions for medicine subsidy.

Rural Midwestern Mexican Fathers' Perspectives on Family Food, Mealtimes, and Physical Activity

Two focus group interviews with eight low-income Mexican fathers in two communities in a rural Midwestern state explored fathers' perceptions, behaviors, and roles related to child and family food consumption, mealtimes, and physical activity. On average, fathers were 34 years of age, had 10 years of formal education, and annual household incomes ranged from $36,250 to $46,249. Findings include the identification of fifteen themes through the process of thematic analysis that are organized by five thematic areas of interest (family food patterns, strategies for healthy eating, family roles in food shopping and preparation, family mealtimes, physical activity among families). Findings revealed ways fathers contributed to their children's and families' health and well-being, and challenges they faced. Health promotion efforts aimed at rural, low-income Mexican immigrant families can benefit from embracing fathers' perspectives and how they influence the health and well-being of their children and families.

Development of a national childhood obesogenic environment index in the United States: differences by region and rurality

Background

Diverse environmental factors are associated with physical activity (PA) and healthy eating (HE) among youth. However, no study has created a comprehensive obesogenic environment index for children that can be applied at a large geographic scale. The purpose of this study was to describe the development of a childhood obesogenic environment index (COEI) at the county level across the United States.

Methods

A comprehensive search of review articles (n = 20) and input from experts (n = 12) were used to identify community-level variables associated with youth PA, HE, or overweight/obesity for potential inclusion in the index. Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified – six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). Data for each variable for all counties in the U.S. (n = 3142) were collected from publicly available sources. For each variable, all counties were ranked and assigned percentiles ranging from 0 to 100. Positive environmental variables (e.g., grocery stores, exercise opportunities) were reverse scored such that higher values for all variables indicated a more obesogenic environment. Finally, for each county, a total obesogenic environment index score was generated by calculating the average percentile for all 10 variables.

Results

The average COEI percentile ranged from 24.5–81.0 (M = 50.02,s.d. = 9.01) across US counties and was depicted spatially on a choropleth map. Obesogenic counties were more prevalent (F = 130.43,p < .0001) in the South region of the U.S. (M = 53.0,s.d. = 8.3) compared to the Northeast (M = 43.2,s.d. = 6.9), Midwest (M = 48.1,s.d. = 8.5), and West (M = 48.4,s.d. = 9.8). When examined by rurality, there were also significant differences (F = 175.86,p < .0001) between metropolitan (M = 46.5,s.d. = 8.4), micropolitan (M = 50.3,s.d. = 8.1), and rural counties (M = 52.9,s.d. = 8.8) across the U.S.

Conclusion

The COEI can be applied to benchmark obesogenic environments and identify geographic disparities and intervention targets. Future research can examine associations with obesity and other health outcomes.

Affect Improvements and Measurement Concordance Between a Subjective and an Accelerometric Estimate of Physical Activity

Abstract. Objectives: Physical activity (PA) positively influences several aspects of mental well-being including affect improvements. Yet, the fact that subjective and objective measures of PA often diverge challenges research on the relationship of PA and affect. Methods: Subjective (ecological momentary assessment, EMA) and objective (combined heart rate and accelerometric activity tracker) measures of PA alongside repeated ratings of positive and negative affects were obtained from 37 participants over 7 consecutive days. Results: Subjective and objective PA were significantly positively correlated. Affect improvements, that is, negative affect decrease as well as positive affect increase, were predicted by both subjective (EMA) and objective (activity tracker) data. Conclusions: Measurement concordance supports the validity of both assessment strategies. Affect improvements result from both subjective representations of one’s own activity as well as from physiological mechanisms of PA that one is not aware of, suggesting two independent routes to affect improvements.

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.

Physical Fitness in Upper Austrian Children Living in Urban and Rural Areas: A Cross-Sectional Analysis with More Than 18,000 Children

Physical fitness is an important component in the development and health of children and adolescents. Given the equivocal results of previous research regarding the influence of the living environment on physical fitness, this study examined differences in physical fitness in urban and rural elementary school children in Upper Austria. A total of 18,168 (51% male) children between 6 and 11 years of age participated in anthropometric assessments and completed eight fitness tests that assessed cardiorespiratory endurance, muscular power, speed, agility, flexibility, and ball handling skills during a single test session in the school’s gymnasium. Urban living environment was associated with higher body weight (p = 0.01) and lower physical fitness (p < 0.01), except for flexibility, which was better in urban children (p < 0.01) and upper body strength (no difference), even after accounting for differences in body weight. Furthermore, it was shown that urban–rural differences in physical fitness are more pronounced in normal weight children and that these differences increase with age. These results highlight the potential of the living environment for the promotion of an active lifestyle that enhances physical fitness. The availability of safe spaces that facilitate unstructured and structured physical activity, as well as active transportation provide viable options for the promotion of physical fitness in children.

Comparison of Urban and Rural Physical Activity and Outdoor Play Environments of Childcare Centers and Family Childcare Homes

The purpose of this study was to examine the physical activity environment in childcare programs across type (childcare centers [CCCs] and family childcare homes [FCCHs]) and geographic location (urban and rural) as assessed by physical activity best practices according to the Go Nutrition and Physical Activity Self-assessment in Child Care. Results showed CCCs compared with FCCHs reported higher achievement of best practices. Further, urban childcare programs (CCCs and FCCHs) reported higher achievement of best practices in comparison to rural childcare programs. There is a need to deliver targeted interventions that promote children's physical activity in FCCHs and CCCs in rural areas.

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.

Physical Activity, Sedentary Behavior, Fruit and Vegetable Consumption and Access: What Influences Obesity in Rural Children?

The purpose of this project was to determine the effect of diet, physical activity, and access to fruits, vegetables on weight status of children who reside in a low-income rural area. 153 3rd-6th graders were assessed for physical activity, sedentary behavior, fruit and vegetable consumption and access to physical activity, fruits and vegetables. Physical activity and sedentary behavior was objectively assessed via accelerometery. Fruit and vegetable consumption was assessed by direct observation and a recall questionnaire. Access was assessed by a questionnaire. Regression analysis was used to determine relationships with weight status as measured by BMI. On average children met physical activity requirements (71 min of MVPA) per day which significantly related to children's weight status (p = .016). Sedentary behavior was also related to weight status (p = < 0.001). Participants' access to physical activity opportunities near the home was not significantly related to their physical activity levels or weight status. Fruit and vegetable consumption was not related to BMI or access to fruits and vegetables. The results of this study suggested that children's physical activity and sedentary behavior impacts weight status of children residing in a rural environment.

Spatial clustering patterns of child weight status in a southeastern US county

Youth obesity is a major public health concern due to associated physical, social, and psychological health consequences. While rates and disparities of youth obesity levels are known, less research has explored spatial clustering patterns, associated correlates of spatial clustering, comparing patterns in urban and rural areas. Therefore, this study 1) examined spatial clustering of youth weight status, 2) investigated sociodemographic correlates of spatial clustering patterns, and 3) explored spatial patterns by level of urbanization. This study occurred in a southeastern US county (pop:474,266) in 2013. Trained physical education teachers collected height and weight for all 3^rd-5th grade youth (n = 13,469) and schools provided youth demographic attributes. BMI z-scores were calculated using standard procedures. Global Moran's Index and Anselin's Local Moran's I (LISA) were used detect global and local spatial clustering, respectively. To examine correlates of spatial clustering, BMI z-score residuals from a series of four linear regression models were spatially analyzed, mapped, and compared. SAS 9.4 and GeoDA were used for analyses; ArcGIS was used for mapping. Significant, positive global clustering (Index = 0.04,p < 0.001) was detected. LISA results showed that about 4.7% (n = 635) and 7.9% (n = 1058) of the sample were identified as high and low obesity localized spatial clusters (p < 0.01), respectively. Individual and neighborhood sociodemographic characteristics accounted for the majority of spatial clustering and differential patterns were observed by level of urbanization. Identifying geographic areas that contain significant spatial clusters is a powerful tool for understanding the location of and exploring contributing factors to youth obesity.

Feasibility and outcomes of an out-of-school and home-based obesity prevention pilot study for rural children on an American Indian reservation

BACKGROUND

Children living in rural areas are at higher risk for obesity compared to urban children, and Native American (NA) children have the highest prevalence of overweight/obesity for all races combined. Out-of-school programs (OOSPs) are a promising setting to improve children's health. Parents are important in supporting their child's obesity-related behaviors, yet it remains unclear what combination and dose of parent engagement strategies is feasible and optimal. This study's primary objective was to assess the feasibility of an OOSP and home-based obesity prevention intervention for rural NA and non-NA children.

METHODS

This was an 11-week, two group, randomized feasibility study. Participants were children and their parents at one OOSP on a rural American Indian reservation. Children, ages 6-9, were randomized to receive the Generations Health (GH) intervention or comparison condition. The GH group received daily activities focused on physical activity (PA), nutrition, sleep, and reducing TV/screen time, and frequently engaged parents. The comparison group received usual OOSP activities. To assess intervention feasibility, we measured recruitment and participation rates and program satisfaction. We assessed pre- to posttest changes in body composition, PA and sleep patterns, dietary intake and Healthy Eating Index-2010 (HEI-2010) scores, TV/screen time, and nutrition knowledge. We report recruitment and participation rates as percentages and participants' program satisfaction as means. Two-tailed paired t tests and 95% confidence intervals were used to detect changes in behavioral and health outcome variables.

RESULTS

Forty-six children met age eligibility criteria; following screening, 52% (24/46) met the inclusion criteria and 96% (23/24) were randomized to the study. Overall, 91% of the children participated in the intervention and 100% participated in at least some of the posttest assessments. Parents reported high program satisfaction (mean rating of 4, on a 1-5 scale). Our outcome measure for child adiposity, zBMI, was reduced by 0.15 in the GH group, but increased by 0.13 in the comparison condition. Meaningful changes were evident for total kilocalories, HEI-2010 scores, PA, TV/screen time, and nutrition knowledge.

CONCLUSIONS

High recruitment, participation and program satisfaction and positive health and behavioral outcomes at 11 weeks provide encouraging indications of the feasibility and potential effectiveness of the intervention.

TRIAL REGISTRATION

ISRCTN24274245.

Substantial variation across geographic regions in the obesity prevalence among 6-8 years old Hungarian children (COSI Hungary 2016)

Background

There have been previous representative nutritional status surveys conducted in Hungary, but this is the first one that examines overweight and obesity prevalence according to the level of urbanization and in different geographic regions among 6–8-year-old children. We also assessed whether these variations were different by sex.

Methods

This survey was part of the fourth data collection round of World Health Organization (WHO) Childhood Obesity Surveillance Initiative which took place during the academic year 2016/2017. The representative sample was determined by two-stage cluster sampling. A total of 5332 children (48.4% boys; age 7.54 ± 0.64 years) were measured from all seven geographic regions including urban (at least 500 inhabitants per square kilometer; n = 1598), semi-urban (100 to 500 inhabitants per square kilometer; n = 1932) and rural (less than 100 inhabitants per square kilometer; n = 1802) areas.

Results

Using the WHO reference, prevalence of overweight and obesity within the whole sample were 14.2, and 12.7%, respectively. According to the International Obesity Task Force (IOTF) reference, rates were 12.6 and 8.6%. Northern Hungary and Southern Transdanubia were the regions with the highest obesity prevalence of 11.0 and 12.0%, while Central Hungary was the one with the lowest obesity rate (6.1%). The prevalence of overweight and obesity tended to be higher in rural areas (13.0 and 9.8%) than in urban areas (11.9 and 7.0%). Concerning differences in sex, girls had higher obesity risk in rural areas (OR = 2.0) but boys did not. Odds ratios were 2.0–3.4 in different regions for obesity compared to Central Hungary, but only among boys.

Conclusions

Overweight and obesity are emerging problems in Hungary. Remarkable differences were observed in the prevalence of obesity by geographic regions. These variations can only be partly explained by geographic characteristics.

Trial registration

Study protocol was approved by the Scientific and Research Ethics Committee of the Medical Research Council (61158–2/2016/EKU).

Modeling Pediatric Body Mass Index and Neighborhood Environment at Different Spatial Scales

In public health research, it has been well established that geographic location plays an important role in influencing health outcomes. In recent years, there has been an increased emphasis on the impact of neighborhood or contextual factors as potential risk factors for childhood obesity. Some neighborhood factors relevant to childhood obesity include access to food sources, access to recreational facilities, neighborhood safety, and socioeconomic status (SES) variables. It is common for neighborhood or area-level variables to be available at multiple spatial scales (SS) or geographic units, such as the census block group and census tract, and selection of the spatial scale for area-level variables can be considered as a model selection problem. In this paper, we model the variation in body mass index (BMI) in a study of pediatric patients of the Virginia Commonwealth University (VCU) Medical Center, while considering the selection of spatial scale for a set of neighborhood-level variables available at multiple spatial scales using four recently proposed spatial scale selection algorithms: SS forward stepwise regression, SS incremental forward stagewise regression, SS least angle regression (LARS), and SS lasso. For pediatric BMI, we found evidence of significant positive associations with visit age and black race at the individual level, percent Hispanic white at the census block group level, percent Hispanic black at the census tract level, and percent vacant housing at the census tract level. We also found significant negative associations with population density at the census tract level, median household income at the census tract level, percent renter at the census tract level, and exercise equipment expenditures at the census block group level. The SS algorithms selected covariates at different spatial scales, producing better goodness-of-fit in comparison to traditional models, where all area-level covariates were modeled at the same scale. These findings underscore the importance of considering spatial scale when performing model selection.

A comparison of the vending environment among three rural subtypes of secondary schools

The purpose of this study was to further explore the rural school food environment. This study assessed trends in prevalence of vending machines and vending items within and between Minnesota schools located in 3 rural subtypes: town/rural fringe, town/rural distant, and remote rural. Generalized estimating equation models were employed to analyze data from the 2006 through 2012 School Health Profiles Principal's Surveys (Profiles). All 3 rural subtypes had a statistically significant decrease in the prevalence of low nutrient energy dense (LNED) vending items between 2006 and 2012, with the exception of sports drinks. However, different vending practices were observed between rural subtypes, with town/rural fringe schools providing more LNED vending options and experiencing less positive change over time compared to town/rural distant and remote rural schools. Differences in vending machine practices emerge when rural schools are subtyped.

Childhood Overweight and Obesity and Associated Factors in Iranian Children and Adolescents: A Multilevel Analysis; the CASPIAN-IV Study

Objective: The purpose of this paper is to explore multidimensional factors related to childhood obesity and overweight based on the data gathered on different aspects of the general health status were assessed among a large number of Iranian children and adolescents in the fourth phase of the "Childhood and Adolescence Surveillance and Prevention of Adult Non-communicable disease" survey. It also aims to determine the degree to which each ecological context contributes to childhood overweight/obesity. Method: A total of 14,880 students and their parents were recruited. They filled out a questionnaire on their relationship with peers, body image, and psychosocial environment of school, dietary habits, life-style habits, physical activity pattern and socioeconomic status (SES). Their height, weight, was measured and body mass index (BMI) was calculated. Obesity and overweight was defined based on the WHO growth chart. Multilevel modeling using three-level random intercept logistic regression models were used to assess predictors of overweight and obesity. In our hierarchical models, children (first level) were conceptualized as being nested within provinces (second level) and provinces within quad regions (third level). Result: From among the 13,486 recruited students, 9.7% were overweight and 11.9% were obese. In multivariate model (adjusted model), being boy (OR:1.58), living in urban area (OR:1.58), having positive family history of obesity (OR = 2.04), breakfast skipping (OR: 1.46), socioeconomic status (OR _{moderateSES/lowSES} = 1.44 and OR _{highSES/lowSES} = 1.89), and birth weight (BW) (OR _{normalBW/lowBW} = 1.33 and OR _highBW/lowBW = 1.8) were associated with childhood obesity. Increasing age was the only factor in the obesity model that had a significant preventive effect on the odds of becoming obese (OR = 0.96, P < 0.001). In multivariate model, living in urban area, increasing age, high and moderate SES, high BW and family history of obesity were the significant predictors of overweight. Conclusion: Our findings show that high BW, sociodemographic characteristics, breakfast skipping, and family history of obesity are associated with childhood obesity and overweight. Therefore, developing strategies that consider the effects of diverse sociodemographic and environmental factors on childhood overweight and obesity would be the most effective way to prevent and manage this multifactorial health concern.

Thirty-Second Walk Test: Expansion of Normative Data

PURPOSE

To collect 30-second walk test (30sWT) normative data on a large, diverse sample of school children developing typically, ages 5 to 13 years, and describe the influences of gender, body mass index, and path shape on distance walked.

METHODS

Five physical therapists administered the 30sWT on 1223 children developing typically (boys = 517, girls = 706) from 20 urban schools.

RESULTS

Average distances (standard deviation) ranged from 139.1 (20.3) to 163.0 (18.6) ft; children aged 10 years walked the farthest and those aged 5 years the shortest. Distance steadily increased from ages 5 to 10 years, steadily decreased from ages 11 to 13 years; children aged 8, 9, and 10 years had statistical but not functionally meaningful gender differences. Body mass index and path shape had no meaningful effects. Distance and velocities are similar to prior studies.

CONCLUSION

This study updated 30sWT normative values with a large, ethnically diverse, urban sample developing typically. Norms may be useful as part of a comprehensive examination.

Attachment Style and Obesity: Disordered Eating Behaviors as a Mediator in a Community Sample of Canadian Youth

OBJECTIVE

Obesity and overweight are associated with many negative health outcomes. Attachment style has been implicated in the development of obesity in youth. The present study examined if disordered eating behaviors mediate the relationship between attachment style and body mass index (BMI) in a large community sample of Canadian youth.

METHOD

A total of 3,043 participants (1,254 males and 1,789 females, Mage = 14.20 years) completed self-report questionnaires including the Relationship Questionnaire and the Dutch Eating Behavior Questionnaire, and BMI was objectively measured. Disordered eating behaviors (restrained, emotional, and external) were examined as possible mediating mechanisms in the relationship between attachment style and BMI z-score, using a multiple mediation model using bootstrapping while controlling for socio-demographic covariates.

RESULTS

Insecure attachment was significantly associated with higher BMI, and disordered eating mediated this relationship. Restrained eating was the strongest mediator of this pathway.

CONCLUSION

Results suggest that it may be important to take attachment history and restrained eating into account when designing treatment and prevention strategies for obesity in youth.

Changes in Body Mass Index During a 3-Year Elementary School-Based Obesity Prevention Program for American Indian and White Rural Students

BACKGROUND

Childhood obesity is a significant but largely modifiable health risk, disproportionately affecting socioeconomically disadvantaged, racial/ethnic minority, and rural children. Elementary school-aged children typically experience the greatest increases in excess weight gain and therefore are important targets for reducing adolescent and adult obesity while improving children's health. Our study evaluated outcomes of a 3-year elementary school-based program for reducing obesity in American Indian and White students attending eight rural schools in the U.S. upper Midwest.

METHOD

Researchers measured body mass indexes (BMI) and other health indicators and behaviors of 308 beginning third-grade students and then again at the end of students' third, fourth, and fifth grades. The primary focus of this study is a mixed multilevel longitudinal model testing changes in age- and gender-adjusted BMI z scores ( zBMI).

RESULTS

There was a significant decrease in zBMI across the 3-year study period. Ethnicity analyses showed that White students had overall decreases in zBMI whereas American Indian students' zBMIs remained stable across the program. Comparisons with children from an age- and cohort-matched national sample provided support for the effectiveness of the school program in reducing BMI and obesity during the study period.

CONCLUSION

An elementary school-based health program that addresses a range of students' obesity-related health behaviors, the school health environment, and that involves educators and parents is an effective intervention for reducing or stabilizing BMI in rural White and American Indian students. School health programs for students living in rural communities may be especially effective due to greater school and community cohesiveness, and valuing of the school's primary role in improving community health.

Contributors to the Excess Stroke Mortality in Rural Areas in the United States

BACKGROUND AND PURPOSE

Stroke mortality is 30% higher in the rural United States. This could be because of either higher incidence or higher case fatality from stroke in rural areas.

METHODS

The urban-rural status of 23 280 stroke-free participants recruited between 2003 and 2007 in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) was classified using the Rural-Urban Commuting Area scheme as residing in urban, large rural town/city, or small rural town or isolated areas. The risk of incident stroke was assessed using proportional hazards analysis, and case fatality (death within 30 days of stroke) was assessed using logistic regression. Models were adjusted for demographics, traditional stroke risk factors, and measures of socioeconomic status.

RESULTS

After adjustment for demographic factors and relative to urban areas, stroke incidence was 1.23-times higher (95% confidence intervals, 1.01-1.51) in large rural town/cities and 1.30-times higher (95% confidence intervals, 1.03-1.62) in small rural towns or isolated areas. Adjustment for risk factors and socioeconomic status only modestly attenuated this association, and the association became marginally nonsignificant (P=0.071). There was no association of rural-urban status with case fatality (P>0.47).

CONCLUSIONS

The higher stroke mortality in rural regions seemed to be attributable to higher stroke incidence rather than case fatality. A higher prevalence of risk factors and lower socioeconomic status only modestly contributed to the increased risk of incident stroke risk in rural areas. There was no evidence of higher case fatality in rural areas.

Prevalence and geographic variation of abdominal obesity in 7- and 9-year-old children in Greece; World Health Organization Childhood Obesity Surveillance Initiative 2010

Background

In children, abdominal obesity is a better predictor of the presence of cardiovascular risk factors than body mass index (BMI)-defined obesity. We aimed to evaluate the prevalence of abdominal obesity in the Greek pediatric population and to assess the impact of residence on the prevalence of both BMI-defined and abdominal obesity.

Methods

In the context of the Childhood Obesity Surveillance Initiative of the World Health Organization (WHO) Regional Office for Europe, a national representative sample of 7.0–7.9 and 9.0–9.9-year-old children was evaluated (n = 2,531 and 2,700, respectively). Overweight and obesity according to BMI were estimated using both the WHO and International Obesity Task Force cut-off points. Abdominal obesity was defined as waist circumference/height ratio >0.5.

Results

The prevalence of abdominal obesity did not differ between 7-year-old boys and girls (25.2 and 25.3%, respectively; p = NS). Among 9-year-old children, abdominal obesity was more prevalent in boys than in girls (33.2 and 28.2%, respectively; p = 0.005). Among normal weight and overweight children, the prevalence of abdominal obesity was 1.6–6.8 and 21.8–49.1%, respectively. The prevalence of abdominal and BMI-defined obesity did not differ between children living in the mainland, in Crete and in other islands except in 7-year-old girls, where the prevalence of BMI-defined obesity was highest in those living in Crete, intermediate in those living in other islands and lowest in those living in the mainland. In 9-year-old boys and in 7- and 9-year-old girls, the prevalence of abdominal obesity was highest in children living in Athens and lowest in children living in Thessaloniki, whereas children living in other cities and in villages showed intermediate rates. The prevalence of abdominal obesity in 7-year-old boys and the prevalence of BMI-defined obesity did not differ between children living in cities and villages.

Conclusions

The prevalence of pediatric abdominal obesity in Greece is among the highest worldwide. Boys and children living in the capital are at higher risk for becoming obese. Given that abdominal obesity is more prevalent than BMI-defined obesity and appears to be more sensitive in identifying cardiovascular risk, measurement of waist circumference might have to be incorporated in the screening for childhood obesity.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-017-4061-x) contains supplementary material, which is available to authorized users.

Mirror, Mirror on the Wall: Children's Preferences and Self-Perceptions of Weight in a Rural Hispanic Community

INTRODUCTION

Although studies have documented parents' misperceptions regarding their children's weight, studies examining preadolescent children's self-perceptions of weight-in particular, Hispanic children's self-perceptions of weight-are limited.

METHOD

A convenience sample of 424 children from a rural community, aged 8 to 11 years and in grades 3 through 5, participated in this cross-sectional, descriptive, nonexperimental study. Using the Children's Body Image Scale, the children were asked to select a figure representing their actual body perception and a figure representing their ideal body perception. The children were weighed and measured, body mass index (BMI) was calculated, and each child was assigned to one of the Centers for Disease Control and Prevention weight categories: underweight, normal or healthy weight, overweight, or obese.

RESULTS

Only BMI category was found to be significantly associated with accurate perception, χ²(3) = 201.4, p < .001, with only 9% of overweight or obese children selecting figures representing their actual BMI category. Actual BMI category, χ²(3) = 8.8, p = .032, and grade level, χ²(2) = 6.7, p = .036, had a significant association with selection of an underweight ideal. Overall, 32% of children selected an underweight figure as ideal.

DISCUSSION

Prepubertal children who are either overweight or obese do not accurately perceive their weight status. Rather than focusing solely on weight reduction programs, emphasis should be placed on promoting healthy lifestyles and choices.

Dietary Intake among Adolescents in a Middle-Income Country: An Outcome from the Malaysian Health and Adolescents Longitudinal Research Team Study (the MyHeARTs Study)

Optimal nutrition is essential for healthy growth during adolescence. This study aims to investigate the baseline nutritional intake of Malaysian adolescents by gender, body mass index, and places of residence, both urban and rural. A cohort study was conducted consisting of 794 adolescents (aged 13-years) attending 15 public secondary schools from the Central (Kuala Lumpur and Selangor) and Northern (Perak) Regions of Peninsular Malaysia. Qualified dietitians conducted a 7-day historical assessment of habitual food intakes. Facilitated by flipcharts and household measurement tools, detailed information on portion sizes and meal contents were recorded. Nutritionist Pro™ Diet Analysis software was also used to analyze the dietary records.The mean age of the adolescents was 12.86 ± 0.33 y; the mean energy intake was 1659.0 ± 329.6 kcal/d. Males had significantly (P < .001) higher energy intake than females (1774.0 ± 369.8 vs 1595.2 ± 320.6 kcal/d); adolescents in rural schools consumed more energy and cholesterol (P < .001) compared to adolescents in urban schools (1706.1 ± 377.7 kcal/d and 244.1 ± 100.2 mg/d, respectively). Obese adolescents in rural schools consumed more energy and sugar (1987.6 ± 374.0 kcal/d and 48.9 ± 23.0 g/d) (p-value <0.001).The dietary intake of normal weight versus obese adolescents differs by the location of their school. Thus, the implementation of a structured and tailored intervention is recommended to help minimize this nutritional inequality.

Eating breakfast together as a family: mealtime experiences and associations with dietary intake among adolescents in rural Minnesota, USA

OBJECTIVE

Although existing evidence links breakfast frequency to better dietary quality, little is known specifically in regard to the benefits associated with eating breakfast together with one's family. The present study describes the prevalence and experience of having family meals at breakfast among rural families and examines associations between meal frequency and adolescent diet quality.

DESIGN

Data were drawn from Project BreakFAST, a group-randomized trial aimed at increasing school breakfast participation in rural Minnesota high schools, USA. Linear mixed models were used to examine associations between student reports of family breakfast frequency and Healthy Eating Index 2010 (HEI-2010) scores while accounting for clustering within schools, demographics and household food security.

SETTING

Adolescent students from sixteen schools completed online surveys, height and weight measurements, and dietary recalls at baseline in 2012-2014.

SUBJECTS

The sample included 827 adolescents (55·1 % girls) in grades 9-10 who reported eating breakfast on at most three days per school week.

RESULTS

On average, adolescents reported eating breakfast with their family 1·3 (sd 1·9) times in the past week. Family breakfast meals occurred most frequently in the homes of adolescents who reported a race other than white (P=0·002) or Hispanic ethnicity (P=0·02). Family breakfast frequency was directly associated with adolescent involvement in preparing breakfast meals (P<0·001) and positive attitudes (P≤0·01) about mealtime importance, interactions and structure. Family breakfast frequency was unrelated to most diet quality markers.

CONCLUSIONS

Family meals may be one important context of opportunity for promoting healthy food patterns at breakfast. Additional research is needed to better inform and evaluate strategies.

Physical Activity and Sedentary Screen Time in Obese and Overweight Children Living in Different Environments

AIM

To assess the relationship of children's physical activity and sedentary screen time with overweight and obesity in children living in different environments (town and city) in Lithuania.

METHODS

An analysis of anthropometric data from 532 children living in town and city areas was performed. A youth physical activity questionnaire (YPAQ) was conducted to evaluate physical activity and sedentary screen time.

RESULTS

The prevalence of overweight and obesity among the children was 25.5% in the town and 18.6% in the city. Children living in the town on average engaged 9.3 min/day less in moderate to vigorous physical activity (p=0.050) and had 33.2 MET-min/day lower energy expenditure than children living in the city. Sedentary screen time was extremely high on weekends in both town and city children.

CONCLUSIONS

A higher prevalence of overweight and obesity and a lower amount of moderate-to-vigorous physical activity was found in children living in the town compared to children living in the city.

Harvest of Hope: The impact of a church garden project on African American youth and adults in the rural American South

A pilot study was conducted of the feasibility of a church garden program to impact health outcomes in rural African American youth and adults. Thirty-six workdays were held at a Black church. Pre and post-intervention attitudes, diet, weight and blood pressure were measured. T-tests were used to test for significant within group differences. Spearman's rank correlation coefficients were used to test for significant bivariate associations. Youth showed improved attitudes about farming and gardening. No statistically significant changes were observed in adults. Church garden interventions can improve farming and gardening attitudes for rural, African American youth.

Waist Circumference and Objectively Measured Sedentary Behavior in Rural School Adolescents

BACKGROUND

Research on relationships between lifestyle behaviors and adiposity in school youth is potentially important for identifying subgroups at risk. This study evaluates the associations between waist circumference (WC) and objective measures of sedentary behavior (SB) in a sample of rural school adolescents.

METHODS

The sample included 254 students (114 boys, 140 girls), 13-16 years of age, from rural regions of the Portuguese midlands. Height, weight, and WC were measured. Cardiorespiratory fitness (CRF) was assessed with the 20-m shuttle-run test. An uniaxial GT1M accelerometer was used to obtain 5 consecutive days of physically activity (PA) and SB. Multiple linear regression was used to test associations between WC and SB, adjusted for several potential confounders (age, sex, PA, CRF, parental education).

RESULTS

SB was not significantly associated with the WC, neither in the unadjusted model nor after adjustment for all potential confounders. In the final model, the unique significant predictor of the WC was cardiorespiratory fitness (β = -0.82; 95% confidence interval [CI], -1.02 to -0.62).

CONCLUSION

WC was not independently associated with SB time in rural school adolescents. Future research is claimed among rural adolescents in different geographic contexts to try to clarify recent findings of less studied communities.

Timed Up and Go: Reference Data for Children Who Are School Age

PURPOSE

To collect normative data for the Timed Up and Go (TUG) on a large, diverse sample of urban school children who are typically developing, accounting for age, sex, and body mass index.

METHODS

Physical therapists administered the TUG with natural walking speeds on 1481 children (M = 635, F = 846), ages 5 to 13 years representing 29.60% whites, 24.2% Asian/Pacific Islanders, 19.7% Latino/Hispanics, 16.3% African Americans, 1.40% Native American/Alaskans, and 8.80% other.

RESULTS

Average TUG speeds ranged from 6.20 to 7.12 seconds across all ages, with speeds decreasing from 5 to 9 years and increasing from 9 to 13 years. Differences between 8-, 9-, and 11-year-old males and females and across age groups did not exceed a clinically important threshold. Body mass index was not consistently correlated with TUG speed.

CONCLUSION

This study provides reference data on the TUG. These data should complement clinical observations and additional tests and measures to determine whether a student is functioning slower than age-matched peers.

The Family-Home Nutrition Environment and Dietary Intake in Rural Children

Obesity and food insecurity rates are higher among rural compared to non-rural populations. Little is known, however, about how family-home environments influence childhood obesity-related behaviors, particularly in rural settings. This study examined associations between the family-home nutrition (FN) environment, food insecurity, and dietary intake (fruits, vegetables, whole grains, dairy, protein foods, and added sugars) in rural elementary school-age children (grades K-5/6; n = 102). Parents/caregivers completed surveys on FN, food insecurity, and the Block Kids Food Screener (BKFS). Body mass index (BMI, kg/m2) was calculated from measured height and weight. Approximately 33% of children were classified as overweight/obese and 28% of families were at-risk for food insecurity. Multivariable linear regression analyses examined associations between dietary intakes with FN and food insecurity. More favorable FN scores were associated with lower added sugar intake (B = -1.38, p = 0.04) and higher vegetable (B = 0.15, p < 0.001), fruit (B = 0.71, p = 0.01), and dairy (B = 0.31, p < 0.001) intakes. No significant associations were found between food insecurity and dietary intake. Given the association between higher FN scores and more favorable dietary intake, promoting healthy FN environments among rural children is warranted.

Socioeconomic position and childhood-adolescent weight status in rich countries: a systematic review, 1990-2013

Background

Childhood obesity is a major problem in rich countries due to its high prevalence and its harmful health consequences. An exploratory analysis conducted in the PubMed database highlighted that the number of papers published on the relationship between socioeconomic position (SEP) and childhood-adolescent weight status had risen substantially with respect to an earlier review which had covered the period 1990–2005.

Methods

To describe the findings on the relationship between SEP and childhood-adolescent weight status in papers published in rich countries from 1990 through 2013, studies were identified in the following databases: PubMed; Web of Knowledge (WOK); PsycINFO; Global Health; and Embase. We included observational studies from the 27 richest OECD countries, which covered study populations aged 0 to 21 years, and used parental education, income and/or occupation as family SEP indicators. A total of 158 papers met the inclusion criteria and reported 134 bivariable and 90 multivariable analyses.

Results

Examination of the results yielded by the bivariable analyses showed that 60.4 % of studies found an inverse relationship, 18.7 % of studies did not found relationship, and 20.9 % of studies found a relationship that varied depending on another variable, such as age, sex or ethnic group; the corresponding percentages in the multivariable analyses were 51.1, 20.0 and 27.8 %, respectively. Furthermore, 1.1 % found a positive relationship.

Conclusion

The relationship between SEP and childhood-adolescent weight status in rich countries is predominantly inverse and the positive relationship almost has disappeared. The SEP indicator that yields the highest proportion of inverse relationships is parents’ education. The proportion of inverse relationships is higher when the weight status is reported by parents instead using objective measurements.

Electronic supplementary material

The online version of this article (doi:10.1186/s12887-015-0443-3) contains supplementary material, which is available to authorized users.

Neighbourhood Influences on Children's Weight-related Behaviours and Body Mass Index

Introduction

Neighbourhood contextual factors such as accessibility of food shops and green spaces are associated with adult bodyweight but not necessarily weight-related behaviours. Whether these associations are replicated amongst children is unknown.

Aim

To understand which aspects of childrens' neighbourhoods are associated with unhealthy weight and weight-related behaviours.

Methods

Individual-level data for children from the 2006/7 New Zealand Health Survey (of Body Mass Index (BMI), dietary indicators and socioeconomic variables) were linked with geographic level data on neighbourhood deprivation, rural/urban status, percentage of community engaged in active travel, access to green space, food shops and sports/leisure facilities. Logistic regression models were fitted for measures of BMI and weight-related behaviours; sugar sweetened beverage (SSB) consumption; fast-food consumption; and television viewing.

Results

Increased community engagement in active transport was, counterintuitively, the only neighbourhood contextual factor associated with unhealthy weight amongst children. After adjustment for socioeconomic and environmental variables, greater access to green space appeared to have a protective effect on SSB consumption and neighbourhood deprivation was associated with all three unhealthy weight-related behaviours (SSB and fast-food consumption and television viewing).

Conclusions

Although further research is needed, evidence from the current study suggests that a repertoire of health promotion interventions and policies to change unhealthy weight-related behaviours in high deprivation neighbourhoods may be required to address childhood obesity.

Is the association of continuous metabolic syndrome risk score with body mass index independent of physical activity? The CASPIAN-III study

BACKGROUND/OBJECTIVES

Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents.

SUBJECTS/METHODS

Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles.

RESULTS

Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01).

CONCLUSIONS

Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.

Study on Current Levels of Physical Activity and Sedentary Behavior among Middle School Students in Beijing, China

Introduction

This study aimed to determine current levels of physical activity and sedentary behavior in middle school students on the basis of grade, sex, student attitudes toward physical education, and residence location.

Methods

In 2013, a cross-sectional study of 1793 students aged 12 to 15 years was conducted across eight middle schools in Beijing, China. Four schools were selected from an urban district and another four schools were from a suburban district. Physical activity and sedentary behavior data were collected using the commonly used school-based Chinese version of the China Health and Nutrition Survey.

Results

The mean age of sampled students was 13.3±1.0 years; 51.5% were boys. Approximately 76.6% of students reported having three 45-minute physical education classes every week. A total of 35.6% students spent ≥1 h/day performing moderate to vigorous physical activity (MVPA) during school, and 34.9% spent ≥1 h/day in MVPA outside school time. Approximately half (49.7%) of the students engaged in reading, writing, or drawing for ≥2 h/day, and 42.9% reported screen time for ≥2 h/day. Although boys spent more time engaged in physical activity than girls did, they also spent more time exhibiting sedentary behavior. Each 10-unit increase in attitudes toward physical education was associated with an increased odds of 1.15 (95%CI: 1.09–1.20) for spending more than 1 h/day on MVPA. Students in suburban schools reported engaging in physical activity less when compared with those in urban schools.

Conclusion

The majority of our students did not meet the current physical activity recommendations, and about half of the students spent excessive time engaging in sedentary behaviors. Findings from this study highlight a positive association between student attitudes toward physical education and physical activity. Studies are needed to further explore the role of student attitudes toward physical education in promoting physical activity among Chinese students.

Urban-rural differences in childhood and adolescent obesity in the United States: a systematic review and meta-analysis

BACKGROUND

A systematic literature review and subsequent meta-analysis were performed to investigate differences in childhood obesity between urban and rural areas in the United States.

METHODS

A search of published studies comparing childhood obesity in urban and rural settings was undertaken by probing PubMed and Cumulative Index to Nursing and Allied Health Literature (CINAHL) for articles that met predetermined inclusion criteria. A subsequent meta-analysis was conducted to determine the combined effect size and significance of differences in childhood obesity between urban and rural areas.

RESULTS

Ten studies were identified for systematic review, five of which contributed to the meta-analysis. All but one study suggested that residence in rural areas was associated with higher prevalence or increased odds of childhood obesity, compared to children living in urban areas. A meta-analysis of 74,168 pooled participants ages 2-19 found that rural children have 26% greater odds of obesity, compared to urban children (odds ratio=1.26; 95% confidence interval, 1.21-1.32).

CONCLUSIONS

Obesity rates are higher among rural children than urban children in the United States. To ensure successful targeted interventions and effective resource allocation, practitioners and policy makers alike should be cognizant of this disparity in childhood obesity.

Childhood overweight and obesity in a region of Italian immigration in Southern Brazil: a cross-sectional study

Background

The main modifiable risk factors for obesity are related to lifestyle and significantly influenced by the family, environment and culture. We aimed to estimate the prevalence of overweight/obesity and associated lifestyle factors in children from Bento Gonçalves, a southern Brazil city with strong Italian immigration influence. Italian traditional foods were locally adapted since the immigrants’ arrival in the XIX century, to include more fat and fewer vegetables, and physical activity levels have decreased.

Methods

Cross-sectional study of a population-based cluster sample with students aged 9–18 years. We assessed time spent in sedentary behaviors, hours of physical activity, food frequency and family history. All children underwent physical examination with anthropometric and blood pressure measurements. Overweight and obesity were classified according to WHO percentile curves.

Results

A total of 590 students were evaluated. Mean age was 12.45 ± 1.49 years. The prevalence of overweight and obesity was 16.3% and 8.3%, respectively. Boys were more frequently overweight and obese than girls (16.3% and 12.2% versus 16.2% and 5.5%, respectively). Vegetables and fruits were consumed less than 4 times per week in 49% and 36.8%, while soft drinks, fast food and sweets were consumed more than 4 times a week by 71%, 70.3% and 42.7%, respectively. The habit of omitting breakfast was associated with overweight (p = 0.007). The average screen time was 5.38 ± 2.88 hours/day. Overweight/obesity was present in 12.2% (n = 5), 24.8% (n = 122) and 36.8% (n = 14) children with low birth weight, normal birth weight and high birth weight respectively (p = 0.04). The prevalence of high blood pressure was higher in obese (30.6%) and overweight (21.2%) children, comparing to eutrophic children (6.8%; p < 0.001). Excess weight was more frequent among fathers (62.8%) than in mothers (46.3%), but excess weight in mothers was positively associated with excess weight in children (p 0.048).

Conclusion

The city showed high prevalence of overweight and obesity. These findings reinforce the importance of implementing prevention strategies aimed at children and their families, considering that health habits are shared and transmitted along generations.

Prevalence and risk factors of abdominal obesity in Polish rural children

Secular trends of body mass index (BMI) and waist circumference indicate greater increase in abdominal obesity compared to general obesity. Determinants of obesity described by BMI are relatively well documented in various populations, unlike abdominal obesity described by waist-to-height ratio (WHtR). The aim of the study was to determine prevalence and abdominal obesity (WHtR) risk factors in a cohort of 3048 rural children aged 7-12 years from southern Poland. Biological, socio-demographic and lifestyle factors were analysed, and odds ratio and 95% confidence interval were calculated using a logistic regression analysis. The prevalence of abdominal obesity in rural boys and girls in the sample was 11% and 9% respectively. Obesity in both parents, irregular breakfasts, irregular meals during the day and regularly consumed tea were significant factors of abdominal obesity risks in rural girls. Being the only child, low number of people in a household, obesity in both parents, high energy-dense food index and no exercise significantly increased the risk of abdominal obesity in rural boys. The study demonstrated tendencies similar to other European countries in the prevalence of abdominal obesity among sexes. Lifestyle behaviours should be changed and adapted to each sex since risk factors differ between the sexes and indicate higher eco-sensitivity in boys.