Predictors of weight status in school-aged children: a prospective cohort study

Associations between Meal Patterns and Risk of Overweight/Obesity in Children and Adolescents in Western Countries: A Systematic Review of Longitudinal Studies and Randomised Controlled Trials

Childhood overweight/obesity (OV/OB) is a major public health problem in Western countries, often accompanied with comorbidities (e.g., hypertension and insulin resistance) (i.e., metabolically unhealthy obesity-MUO). Among diet-related risk factors of OV/OB risk and MUO, meal patterns remain limitedly studied. The aim of this systematic review was to explore associations between meal patterns and the risk of childhood OV/OB and MUO in children/adolescents aged 2-19 years. Longitudinal studies and randomised controlled trials from PUBMED and Scopus published between January 2013 and April 2024 were retrieved. Twenty-eight studies were included, all of which reported on OV/OB risk, with none on MUO risk. Regular consumption of breakfast (n = 3) and family meals (n = 4) and avoiding dining while watching TV (n = 4) may be protective factors against childhood OV/OB, whereas meal skipping (primarily breakfast; n = 4) may be a detrimental factor. Mixed effects of meal frequency on OV/OB risk were observed; no effects of frequency of lunch or of fast-food consumption and of meals served at school were found. There was insufficient evidence to support the role of other patterns (meal timing, eating in other social contexts). Meals were mainly participant-identified, leading to increased heterogeneity. Research focusing on childhood MUO and the use of harmonised definitions regarding the assessment of meal patterns are highly warranted.

Risk Factors for Overweight and Obesity in Later School-Aged Children: Focus on Lifestyle Behaviours and Psychosocial Characteristics

The study analysed the 12th wave (2019) of data from the Panel Study on Korean Children conducted by the Korea Institute of Child Care and Education. A total of 1174 children were selected as the subjects of the study. The results concerning the identifying factors influencing overweight and obesity in later school-aged children revealed that when compared to boys, girls were 1.66 times more likely to be overweight or obese. Moreover, for every one-hour increase in media usage time, the likelihood of being overweight or obese increased by 1.23 times, and for every one-point increase in body dissatisfaction, the probability of being overweight or obese increased by 2.07 times. However, among personality traits, neuroticism was associated with a 0.96 times lower likelihood of being overweight or obese. These findings underscore the significance of considering not only lifestyle factors but also psychosocial characteristics such as body dissatisfaction and neuroticism as predictive factors for overweight and obesity in later school-aged children, providing a basis for intervention.

Predicting academic achievement from the collaborative influences of executive function, physical fitness, and demographic factors among primary school students in China: ensemble learning methods

BACKGROUND

Elevated levels of executive function and physical fitness play a pivotal role in shaping future quality of life. However, few studies have examined the collaborative influences of physical and mental health on academic achievement. This study aims to investigate the key factors that collaboratively influence primary school students' academic achievement from executive function, physical fitness, and demographic factors. Additionally, ensemble learning methods are employed to predict academic achievement, and their predictive performance is compared with individual learners.

METHODS

A cluster sampling method was utilized to select 353 primary school students from Huai'an, China, who underwent assessments for executive function, physical fitness, and academic achievement. The recursive feature elimination cross-validation method was employed to identify key factors that collaboratively influence academic achievement. Ensemble learning models, utilizing eXtreme Gradient Boosting and Random Forest algorithms, were constructed based on Bagging and Boosting methods. Individual learners were developed using Support Vector Machine, Decision Tree, Logistic Regression, and Linear Discriminant Analysis algorithms, followed by the establishment of a Stacking ensemble learning model.

RESULTS

Our findings revealed that sex, body mass index, muscle strength, cardiorespiratory function, inhibition, working memory, and shifting were key factors influencing the academic achievement of primary school students. Moreover, ensemble learning models demonstrated superior predictive performance compared to individual learners in predicting academic achievement among primary school students.

CONCLUSIONS

Our results suggest that recognizing sex differences and emphasizing the simultaneous development of cognition and physical well-being can positively impact the academic development of primary school students. Ensemble learning methods warrant further attention, as they enable the establishment of an accurate academic early warning system for primary school students.

Predicting academic performance associated with physical fitness of primary school students using machine learning methods

OBJECTIVES

This study aimed to explore the relationship between physical fitness and the academic performance of primary school students and to predict the academic performance associated with physical fitness using machine learning methods. The results provide new evidence confirming the relationship between physical fitness and the academic performance of primary school students. This study provides a practical foundation for early intervention methods to improve the physical fitness and academic performance of primary school students via physical exercise.

METHODS

A total of 432 fifth-grade students from five primary schools in Huai'an, China, were selected using the cluster sampling method. Their physical fitness was evaluated in terms of their body mass index, muscle strength, flexibility, speed, and aerobic endurance. The final exam scores in Chinese, mathematics, and foreign language were used to quantify their academic performance. The Mann-Whitney U test was used to investigate the differences in physical fitness between academic performance groups. The Spearman correlation analysis was used to quantify the relationship between physical fitness and academic performance. Machine learning models based on random forest (RF), support vector machine (SVM), and K-nearest neighbor (KNN) algorithms were used to predict the academic performance of primary school students. The respective prediction performances of machine learning models were evaluated using the accuracy and validated in the test sample.

RESULTS

The body mass index (z = -2.046, p < 0.05) of high-score (HS) primary school students was lower than non-high-score (NHS) students, and the upper limb (z = -2.143, p < 0.05), trunk (z = -3.399, p < 0.05), and lower limb strength (z = -2.525, p < 0.05) and aerobic endurance (z = -2.105, p < 0.05) of HS students were better than NHS students. The academic performance of primary school students was negatively correlated with body mass index (r = -0.105, p < 0.05) and positively correlated with upper limb (r = 0.11, p < 0.05), trunk (r = 0.175, p < 0.05), and lower limb strength (r = 0.13, p < 0.05) and aerobic endurance (r = -0.108, p < 0.05). The average accuracy of RF, SVM, and KNN models in predicting the academic performance of primary school students in training samples were 59.4% ± 5.16%, 56.41% ± 3.81% and 57.89% ± 4.98%, respectively, which were found to be higher than baseline accuracy, as validated in the test sample.

CONCLUSION

The body mass index, muscle strength, and aerobic endurance of primary school students are significantly different between academic performance groups and are correlated with their academic performance. Machine learning methods can effectively predict academic performance associated with the physical fitness of primary school students.

Association between Food, Beverages and Overweight/Obesity in Children and Adolescents-A Systematic Review and Meta-Analysis of Observational Studies

A healthy diet is essential to prevent childhood obesity, however, adherence to a healthy diet is challenging. The aim of this study was to give a comprehensive overview of the literature investigaating associations between food and beverages and overweight/obesity in children and adolescents in order to identify dietary risk factors. A systematic search was performed in four databases and observational studies were included. Meta-analysis was performed using the random effect model. Sixty records met inclusion criteria and 14 different food or beverage categories were identified. A higher intake of sugar-sweetened beverages increased the odds of overweight/obesity by 1.20 (p < 0.05) (n = 26) and higher intake of fast food increased the odds of overweight/obesity by 1.17 (p < 0.05) (n = 24). Furthermore, higher intake of meat (OR 1.02, p < 0.05 (n:7)) and refined grains (OR 1.28, p < 0.05 (n:3)) was associated with an increased risk of overweight/obesity. In contrast, higher intake of whole grain (OR 0.86, p = 0.04 (n:5)) and more surprisingly sweet bakery (OR 0.59, p < 0.05 (n:3)) was associated with a decreased risk of overweight/obesity. In conclusion, a higher intake of sugar-sweetened beverages and a higher intake of fast food was identified as the primary dietary risk factors for overweight/obesity. Future research is needed to strengthen the generalizability of these results.

Unhealthy Food and Beverage Consumption in Children and Risk of Overweight and Obesity: A Systematic Review and Meta-Analysis

This WHO-commissioned review contributed to the update of complementary feeding recommendations, synthesizing evidence on effects of unhealthy food and beverage consumption in children on overweight and obesity. We searched PubMed (Medline), Cochrane CENTRAL, and Embase for articles, irrespective of language or geography. Inclusion criteria were: 1) randomized controlled trials (RCTs), non-RCTs, cohort studies, and pre/post studies with control; 2) participants aged ≤10.9 y at exposure; 3) studies reporting greater consumption of unhealthy foods/beverages compared with no or low consumption; 4) studies assessing anthropometric and/or body composition; and 5) publication date ≥1971. Unhealthy foods and beverages were defined using nutrient- and food-based approaches. Risk of bias was assessed using the ROBINS-I (risk of bias in nonrandomized studies of interventions version I) and RoB2 [Cochrane RoB (version 2)] tools for nonrandomized and randomized studies, respectively. Narrative synthesis was complemented by meta-analyses where appropriate. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation. Of 26,542 identified citations, 60 studies from 71 articles were included. Most studies were observational (59/60), and no included studies were from low-income countries. The evidence base was low quality, as assessed by ROBINS-I and RoB2 tools. Evidence synthesis was limited by the different interventions and comparators across studies. Evidence indicated that consumption of sugar-sweetened beverages (SSBs) and unhealthy foods in childhood may increase BMI/BMI z-score, percentage body fat, or odds of overweight/obesity (low certainty of evidence). Artificially sweetened beverages and 100% fruit juice consumption make little/no difference to BMI, percentage body fat, or overweight/obesity outcomes (low certainty of evidence). Meta-analyses of a subset of studies indicated a positive association between SSB intake and percentage body fat, but no association with change in BMI and BMI z-score. High-quality epidemiological studies that are designed to assess the effects of unhealthy food consumption during childhood on risk of overweight/obesity are needed to contribute to a more robust evidence base upon which to design policy recommendations. This protocol was registered at https://www.crd.york.ac.uk/PROSPERO as CRD42020218109.

Thinness, overweight, and obesity in 6- to 9-year-old children from 36 countries: The World Health Organization European Childhood Obesity Surveillance Initiative-COSI 2015-2017

In 2015-2017, the fourth round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was conducted in 36 countries. National representative samples of children aged 6-9 (203,323) were measured by trained staff, with similar equipment and using a standardized protocol. This paper assesses the children's body weight status and compares the burden of childhood overweight, obesity, and thinness in Northern, Eastern, and Southern Europe and Central Asia. The results show great geographic variability in height, weight, and body mass index. On average, the children of Northern Europe were the tallest, those of Southern Europe the heaviest, and the children living in Central Asia the lightest and the shortest. Overall, 28.7% of boys and 26.5% of girls were overweight (including obesity) and 2.5% and 1.9%, respectively, were thin according to the WHO definitions. The prevalence of obesity varied from 1.8% of boys and 1.1% of girls in Tajikistan to 21.5% and 19.2%, respectively, in Cyprus, and tended to be higher for boys than for girls. Levels of thinness, stunting, and underweight were relatively low, except in Eastern Europe (for thinness) and in Central Asia. Despite the efforts to halt it, unhealthy weight status is still an important problem in the WHO European Region.

Dietary fibre intake in childhood or adolescence and subsequent health outcomes: A systematic review of prospective observational studies

AIM

To determine whether higher fibre intakes during childhood or adolescence effect a broad range of intermediate markers of cardiometabolic risk or other health related issues.

MATERIALS AND METHODS

We used online searches up to January 2020 and manual searches to identify prospective observational studies reporting on childhood or adolescent intakes of dietary fibre, vegetables, fruit and refined or whole grains. Outcomes measured later in life were body weight, blood lipids, blood pressure, glycaemia, bone health, cognition, growth and bowel habits. Potential age-specific ranges for dietary fibre were extrapolated from published adult data.

RESULTS

We identified 45 publications reporting on 44 354 participants from 30 cohort studies. Mean age at dietary assessment varied from 1 to 19.3 years. Follow-up duration varied from 4 months to 27 years. Although well-conducted studies reported improvements in body weight, blood lipids and glycaemia, the diverse nature of studies precluded meta analysis. The quality of evidence was very low to low given the limited data available per outcome and the inability to synthesize results from multiple studies. Potential dietary fibre intake begins at 13-16 g a day for 2-year-olds and increases until the age of 10 years, when values are comparable with an adult range of 25-30 g a day.

CONCLUSIONS

Given the inconsistency in findings from cohort studies other than an absence of detrimental effects, it seems appropriate that recommendations regarding childhood fibre intake are extrapolated from relevant adult data.

Go Girls!-Dance-Based Fitness to Increase Enjoyment of Exercise in Girls at Risk for PCOS

Weight loss can reduce the hyperandrogenemia associated with polycystic ovary syndrome (PCOS) in peripubertal girls. Yet, adolescent girls have the lowest rates of physical activity and enjoyment of exercise. We created a dance-based support group (Go Girls!) to entice physical activity and improve enjoyment. Girls ages 7-21 over the 85th BMI percentile were recruited and attended once-weekly sessions for 3-6 months. We assessed changes in Physical Activity Enjoyment Scale (PACES), anthropometrics, laboratory data, and amounts of home exercise at 0, 3, and 6 months. Sixteen girls completed either 3 or 6 months. PACES scores were surprisingly high at baseline and remained high. Systolic blood pressure percentile decreased post-intervention. Although no group differences were observed, the majority of individual girls had decreased waist circumference, triglycerides, and metabolic syndrome severity score. Forty percent had decreased free testosterone levels. More girls enjoyed physical education class, got exercise outside of school, and made other lifestyle changes. This dance-based support group was enjoyed by girls and demonstrated health benefits. Continued efforts to engage girls in physical activity are necessary to protect girls from the consequences of obesity, including PCOS and metabolic syndrome. Dance exercise remains a promising tool to encourage physical activity in girls.

Impact of Whole, Fresh Fruit Consumption on Energy Intake and Adiposity: A Systematic Review

Background: The energy content of whole, fresh fruit derives primarily from simple sugars, which are currently under heightened scrutiny for their potential contribution to obesity and chronic disease risk. Yet fruit also has a relatively low energy density, moderate palatability/reward value, and high fiber content, which together may limit energy intake. Although reasoned arguments can be made that fruit is fattening or slimming, the question is best resolved empirically. Methods: Methods were preregistered with PROSPERO (CRD42018111830). The primary outcome is the impact of whole, fresh fruit consumption on measures of adiposity including body weight in randomized controlled trials (RCTs). Secondary outcomes are the impact of whole, fresh fruit consumption on energy intake in RCTs, and the association between whole, fresh fruit consumption and changes in measures of adiposity in prospective observational studies. CENTRAL and PubMed databases were searched through October 2018. Cochrane risk of bias tool was used to assess risk of bias in RCTs, and the GRADE method was used to judge and convey the certainty of conclusions. Reporting follows PRISMA guidelines. Results: RCTs, and particularly those of higher quality, suggest that increasing whole, fresh fruit consumption promotes weight maintenance or modest weight loss over periods of 3-24 weeks (moderate certainty), with limited evidence suggesting that a high intake of fruit favors weight loss among people with overweight or obesity. Consistent with this, single-meal RCTs suggest that consuming whole, fresh fruit tends to decrease energy intake, particularly when consumed prior to a meal or when displacing more energy-dense foods (moderate certainty). Prospective observational studies suggest that habitually higher fruit intake is not associated with weight change, or is associated with modest protection against weight gain, over five or more years. Conclusions: Current evidence suggests that whole, fresh fruit consumption is unlikely to contribute to excess energy intake and adiposity, but rather has little effect on these outcomes or constrains them modestly. Single-meal RCTs, RCTs lasting 3-24 weeks, and long-term observational studies are relatively consistent in supporting this conclusion. Whole, fresh fruit probably does not contribute to obesity and may have a place in the prevention and management of excess adiposity.