Physical Activity, Sedentary Behaviors, and Nutritional Risk Profiles and Relations to Body Mass Index, Obesity, and Overweight in Eighth Grade

Berlin, Kristoffer S.; Kamody, Rebecca C.; Thurston, Idia B.; Banks, Gabrielle G.; Rybak, Tiffany M.; Ferry, Robert J.

doi:10.1080/08964289.2015.1039956

Cited by 26 publications

(67 citation statements)

References 38 publications

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“…Instead, a healthy cluster – defined by healthy levels for all the studied variables – and an unhealthy cluster – characterised by unhealthy values for all five indices – were identified. These findings are consistent with other studies which have shown distinct healthy and unhealthy clusters.…”

Section: Discussionsupporting

confidence: 93%

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Clusters of health behaviours and their relation to body mass index among adolescents in Northern Finland

Marttila‐Tornio

Ruotsalainen

Miettunen

et al. 2019

Scandinavian Caring Sciences

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Aims To identify clusters of health behaviours among Finnish adolescents and examine whether these clusters are associated with body mass index (BMI). Methods The data, drawn from the prospective population‐based Northern Finland Birth Cohort 1986, comprised a total of 7182 adolescents who replied to a follow‐up postal questionnaire at the age 15 to 16. The adolescents were asked about multiple health behaviours, such as physical activity, screen time, cigarette smoking, alcohol use and diet. Adolescents who answered the questions concerning all of these variables were included in the study, yielding a final sample of 4305 subjects. K‐means cluster analysis was performed to identify group of adolescents with similar health behaviours. Chi‐squared tests were performed to analyse the association between the clusters and BMI. Results Two clusters – Healthy Lifestyle and Unhealthy Lifestyle – were identified for both genders. The values of all the studied variables differed significantly between the clusters identified for both boys and girls. No significant relationship between the identified clusters and BMI was found for either boys or girls. Conclusions It is important to consider multiple lifestyle‐related behaviours and trying to identify groups that present probability for developing lifestyle diseases.

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Section: Discussionsupporting

confidence: 93%

“…Most studies that examine health behaviour patterns among adolescents have not included alcohol use and cigarette smoking in their analyses (see, e.g. ). In the present study, alcohol use and smoking were the key variables that differentiated the clusters.…”

Section: Discussionmentioning

confidence: 99%

Clusters of health behaviours and their relation to body mass index among adolescents in Northern Finland

Marttila‐Tornio

Ruotsalainen

Miettunen

et al. 2019

Scandinavian Caring Sciences

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“…Similar to other reports, 13, 28 significant improvements in intake of FV-related nutrients and energy dense foods were observed, suggesting that higher FV consumption also improved diet quality. Decreasing intake of snack chips and desserts may partially explain the observed improvements in ED.…”

Section: Discussionsupporting

confidence: 89%

“…Research has suggested that higher FV consumption was also related to decreased sodium intake, a risk factor for hypertension. 8, 9 Because dietary behaviors track into adulthood, 10, 11 increasing FV consumption in pre-adolescent children may decrease future risk of overweight and obesity 12, 13 and associated chronic diseases. 14, 15 …”

Section: Introduction/backgroundmentioning

confidence: 99%

Improvement in Fruit and Vegetable Consumption Associated with More Favorable Energy Density and Nutrient and Food Group Intake, but not Kilocalories

Thompson¹,

Ferry²,

Cullen³

et al. 2016

Journal of the Academy of Nutrition and Dietetics

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Background Children generally do not consume adequate fruit and vegetables. Eating more fruit and vegetables may improve energy density and overall diet quality. Objective To investigate whether improvements in fruit and vegetable consumption were associated with improvements in energy density, total calories, and dietary components related to fruits and vegetables. Design Secondary analyses of dietary data from a successful 4-group randomized controlled trial promoting fruit and vegetables. Data were collected at baseline, immediately after gameplay, and 3 months post-intervention. Participants/setting Pre-adolescent child/parent dyads (n=400) were recruited. Eligibility criteria were 4th or 5th grade child (approximately 9–11 years old) with internet access and a parent willing to participate in the intervention. Complete dietary data were collected on 387 of the 400 participants. The videogame was available online on a secure, password-protected website. Main outcome measures Dietary intake was assessed with three unannounced dietary recalls collected at each data collection period via telephone by trained staff using NDSR 2009. Energy density, fruit and vegetable, nutrient, and food consumption were calculated. Statistical analysis performed A 4 (group) × 3 (time) repeated measures analysis of covariance with mixed–effect linear models was used. Covariates included child’s gender, race/ethnicity, and total energy intake as well as parent’s age and household education. Energy was excluded as a covariate in the energy density and energy models. Results Significant changes occurred in energy density. A significant interaction (group × time) was observed (F (6,515) = 2.40, P<0.05) in energy density from food only, while a significant time effect was observed for energy density from all foods and beverages (F (2,388) = 13.75, P<0.0001). Desirable changes were also observed in fruit and vegetable-related dietary components. Conclusions Increasing fruit and vegetable consumption significantly improved energy density and diet quality in pre-adolescent children.

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“…In addition, no effects resulting from screen time, daily servings of fruits and vegetables, high-fat snacks, or physical activity were found, in contrast to previous studies. [26,27] This may have been due to the small sample size in the current study, which limited the possibility of detecting small effect sizes.…”

Section: Discussionmentioning

confidence: 85%

Water as the primary beverage: A predictor of pediatric obesity

Meier¹,

Minton

Meyer³

et al. 2016

JNEP

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Aims: The aims of this study were to assess parental awareness of their own children's weight status and healthy habits, as well as to determine whether the daily use of water as a child's primary beverage is a predictor of pediatric obesity or overweight. Methods: A cross-sectional study was conducted at two primary pediatric clinics and one urgent care clinic from September 2014 to November 2014. Data were collected from children's medical records as well as from parents of children aged 2-18 years. Chi-square tests, bivariate correlations, and multivariate logistic regression procedures were performed. Results: Two-thirds of parents with obese or overweight children were not aware of their children's weight status. Male gender emerged as the positive predictor of pediatric obesity or overweight (Odds Ratio [OR], 9.86; 95% Confidence Interval [CI], 1.21-80.4; p = .033), whereas using water as the primary beverage throughout the day, with low-fat/skim milk at mealtimes was a negative predictor (OR, 0.019; 95% CI, 0.001-0.24; p = .002). Conclusions: There were nearly 50-fold lower odds of being obese or overweight for children who use water as the primary beverage throughout the day than those who do not. Rather than focusing on negative impacts of sugar-sweetened beverages or 100% fruit juice, more attention should be paid to the positive impact of using water as the primary beverage throughout the day. Using standardized Body Mass Index (BMI) percentile growth charts, children's weight status should be communicated to all parents. Teaching and motivating parents and children to drink water as their primary beverage throughout the day could be an effective approach to preventing and managing pediatric obesity.

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Physical Activity, Sedentary Behaviors, and Nutritional Risk Profiles and Relations to Body Mass Index, Obesity, and Overweight in Eighth Grade

Cited by 26 publications

References 38 publications

Clusters of health behaviours and their relation to body mass index among adolescents in Northern Finland

Clusters of health behaviours and their relation to body mass index among adolescents in Northern Finland

Improvement in Fruit and Vegetable Consumption Associated with More Favorable Energy Density and Nutrient and Food Group Intake, but not Kilocalories

Water as the primary beverage: A predictor of pediatric obesity

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