Weight Children Research Articles

Associations between maternal perceptions of social support and adolescent weight status: A longitudinal analysis

Social support is a well-established predictor of improved physical health outcomes among adults. Establishing whether maternal social support may have an inter-generational positive impact on their child's physical health will provide important information for developing potential interventions and policies. Elevated body mass index (BMI) is one indicator of child health that is linked to increased risk for cardiovascular disease and other morbidities later in life. There is some evidence that maternal social support is associated with improved child and adolescent weight status; however, no studies have examined whether specific aspects of social support are more impactful than others or whether support availability is differentially impactful across developmental stages. The present study examined whether maternal perceptions of specific types of social support (i.e., financial support, non-monetary instrumental support, partner emotional support, and having a close supportive contact) were associated with lower adolescent BMI z-scores using longitudinal data collected over a 15-year period from the Future of Families and Child Wellbeing Study (n = 3146), which includes a high proportion of families experiencing socioeconomic disadvantage. Findings from linear regression models using specific types of social support measured across six waves of data collected over a 15-year period indicated that maternal perceptions of greater financial support were associated with lower adolescent BMI z-scores at 15 years (B = −0.05, 95% CI: −0.10, −0.004, P = 0.04), while the other types of support were not. Additional timing analyses demonstrated that perceived financial support during late childhood to adolescence was associated with lower adolescent BMI z-scores (B = −0.06, 95% CI: −0.11, −0.01, P = 0.01), whereas associations between support during infancy and early childhood were not detected. Study findings provide important insights for developing interventions and policies that improve maternal social supports to benefit child health.

Effect of COVID-19 Pandemic Lockdowns on Body Mass Index of Primary School Children from Different Socioeconomic Backgrounds

BackgroundChildhood obesity is associated with various health outcomes. Restrictive measures to contain the spread of the Coronavirus Disease 2019 (COVID-19) pandemic, like lockdowns and school closures, affected children’s daily structure, physical activity, dietary habits, and sleep quality, possibly exacerbating risk factors for childhood obesity and higher body mass index (BMI) in children. Poor socioeconomic conditions may have led to relatively higher risk for elevated BMI levels following pandemic measures. In this study, the impact of measures related to the COVID-19 pandemic on the BMI of third graders was investigated regarding children’s socioeconomic background (SEB).MethodsData from 41,728 children (8.84 ± 0.56 years, 20,431 female) were collected in the context of a cohort study. Children were tested either before the pandemic (preCOVID: Sept2017–March2020, n = 26,314), or following the first (postLDI: Aug2020–Dec2020, n = 6657) or second lockdown in Germany (postLDII: Aug2021–Jan2022, n = 8757). SEB was based on the official school type classification of the state of Berlin. Outcome was BMI standard deviation scores (SDS).ResultsSignificant effects of Time and SEB revealed elevated BMIs in postLDI (M = 0.23, p = 0.011) and postLDII (M = 0.22, p = 0.011) compared to preCOVID (M = 0.17) cohorts and higher BMIs for children with lower SEB (b = − 0.13, p < 0.001). A significant Time × SEB interaction indicated that the effect of SEB on children’s BMI increased in response to lockdowns, especially in postLDII (b = − 0.05, p = 0.006). Results suggest that the COVID-19-related measures lead to increased BMI in children, and that children of lower SEB were at particular risk for higher BMIs following lockdowns.ConclusionsThese findings highlight the dependency of children’s BMI on societal circumstances. Over the course of two lockdowns in Germany, children have experienced BMI increments, particularly in low socioeconomic areas. Authorities are called into action to counteract increasing rates of childhood weight by promoting physical activity of children and establishing related post-pandemic offers.

Positive Outliers: A Mixed Methods Study of Resiliency to Childhood Obesity in High-Risk Neighborhoods

ObjectiveDespite the high prevalence of obesity and the clustering of risk by neighborhood, few studies have examined characteristics which promote healthy child weight in neighborhoods with high obesity risk. We aimed to identify protective factors for children living in neighborhoods with high obesity risk. MethodsWe identified neighborhoods with high obesity risk using geolocated electronic health record data with measured body mass index (BMI) from well-child visits (2012–2017). We then recruited caregivers with children aged 5 to 13 years who lived in census tracts with mean child BMI percentile ≥72 (February 2020–August 2021). We used sequential mixed methods (quantitative surveys, qualitative interviews) to compare individual, interpersonal, and perceived neighborhood factors among families with children at a healthy weight (positive outliers [PO]) versus families with ≥1 child with overweight or obesity (controls). Regression models and comparative qualitative analysis were used to identify protective characteristics. ResultsSeventy-three caregivers participated in the quantitative phase (41% PO; 34% preferred Spanish) and twenty in the qualitative phase (50% PO; 50% preferred Spanish). The frequency of healthy caregiver behaviors was associated with being a PO (Family Health Behavior Scale Parent Score adjusted β 3.67; 95% CI 0.52–6.81 and qualitative data). Protective factors also included caregivers’ ability to minimize the negative health influences of family members and adhere to family routines. ConclusionsThere were few differences between PO and control families. Support for caregiver healthy habits and adherence to healthy family routines emerged as opportunities for childhood obesity prevention in neighborhoods with high obesity risk.

Cegah Stunting dengan Pola Makan, Asuh, Hygiene, dan Sanitasi

Baros is one of the sub-districts in Cimahi, where stunting is relatively high. Data from the Puskesmas Kelurahan Baros Mekar shows that 43 children are indicated to be stunted. The results of interviews with cadres showed that the community needs more knowledge and insight regarding stunting. Apart from that, there needs to be more public awareness regarding the importance of maintaining a balance of nutrients and vitamins in food. Community service was carried out in September 2023 by lecturers and students at Bhakti Kencana University. The target of the activity is families with 30 children aged 0–5 years. Activities include providing education about stunting prevention by lecturers and the nutrition section of the Puskesmas Cigugur Tengah, demonstrations of a nutritional menu balanced with my plate's contents, and how to breastfeed and wash hands correctly. After that, a stunting screening is carried out. Participants were given pre-test and post-test questionnaires regarding stunting knowledge and filled in data on the child's weight. The presentation of knowledge about parenting patterns at the pre-test was 77.02%, the post-test was 84.02%, the pre-test hygiene knowledge was 99.52%, and the post-test was 100%, while the pre-test sanitation knowledge was 80.37%, and post-test was 87.77%. The nutritional status of toddlers based on BB/U showed that BB was less than 3.3%, very low BB was 6.7%, normal was 76.7%, and the risk of being overweight was 13.3%. It is hoped that increasing knowledge about stunting can be implemented to support optimal child growth and development.

Descriptive Analysis of Carrier and Affected Hereditary Fructose Intolerance in Women during Pregnancy.

(1) Background: Hereditary fructose intolerance (HFI) is a rare autosomal recessive metabolic disorder resulting from aldolase B deficiency, requiring a fructose, sorbitol and sucrose (FSS)-free diet. Limited information exists on the relationship between pregnancy outcomes and HFI. This study aims to analyze pregnancy-related factors in a cohort of thirty Spanish women, with twenty-three being carriers and seven being HFI-affected (45 pregnancies). (2) Methods: A descriptive, cross-sectional and retrospective study utilized an anonymous questionnaire. (3) Results: Findings encompassed physical and emotional states, nutritional habits, pathology development and baby information. Notable results include improved physical and emotional states compared to the general population, with conventional analyses mostly within normal ranges. Persistent issues after pregnancy included hepatic steatosis, liver adenomas and hemangiomas. Carrier mothers' babies exhibited higher weight than those of patient mothers, while the weights of carrier children born with HFI were similar to disease-affected children. (4) Conclusions: Pregnant women with HFI did not significantly differ in physical and emotional states, except for nausea, vomiting, and cravings. Post-pregnancy, HFI patients and carriers exhibited persistent hepatic issues. Significantly, babies born to HFI-affected mothers had lower weights. This study sheds light on pregnancy outcomes in HFI, emphasizing potential complications and the need for ongoing monitoring and care.

Predicting Student Placement in College Using Machine Learning

Abstract: The research on student placement prediction in higher education has been a focal point, addressing challenges related to balanced accuracy and generalization across diverse datasets. Prior studies grappled with issues in feature representation and interpretability. This study aims to overcome these challenges by introducing a comprehensive machine learning framework for student placement prediction, leveraging advanced techniques in exploratory data analysis, preprocessing, and model evaluation. Drawing on previous research experiences, our proposed work targets specific issues related to feature engineering, categorical variable representation, and result interpretability. The methodology employs key libraries, including NumPy, pandas, Matplotlib, Seaborn, Plotly, scikit-learn, WordCloud, and DateTime, for efficient data manipulation, visualization, and analysis. Ensemble learning techniques, such as Random Forest and XGBoost, along with traditional algorithms like Decision Trees and K-Nearest Neighbors, contribute to enhancing predictive accuracy and model robustness. To fine-tune the models, a Randomized Search for Hyperparameters is implemented for the XGBoost classifier, optimizing parameters like learning rate, maximum depth, minimum child weight, gamma, and colsample by tree. This approach effectively addresses overfitting and underfitting issues, maximizing overall model performance. The accuracy percentages achieved through our models represent significant advancements. For instance, the Decision Tree model achieves an accuracy of 87.74%, the Random Forest model achieves 87.60%, the XGBoost model achieves 87.60%, and the K-Nearest Neighbors model achieves 85.18%. These results underscore the effectiveness of our approach in achieving high accuracy while maintaining interpretability.

Feasibility and acceptability of a pilot studying investigating multi-family parent-only guided self-help family-based treatment for adolescent anorexia nervosa.

Family-based treatment (FBT) is an efficacious treatment for adolescent anorexia nervosa (AN). A parent-only guided self-help version of FBT (GSH-FBT) demonstrated preliminary efficacy in pilot investigations. To address challenges in access to care, we adapted GSH-FBT into a parent-only multi-family group format (MF-GSH-FBT) delivered via videoconferencing. This report details the feasibility and acceptability of a parent-only group-based multi-family GSH-FBT (MF-GSH-FBT) for adolescent AN delivered virtually. The MF-GSH-FBT intervention consisted of 12 weekly 60-min sessions facilitated by a clinician in addition to online FBT video content and recommended readings. Adolescents and parents completed assessments at baseline and post-treatment. Parents reported their child's weight each week. A total of 13 adolescents (15.57 + 1.63 years; 92% female; 23% Hispanic) with AN and their parents enrolled and initiated treatment. Four consecutive cohorts of groups of 3-4 families were completed from April 2022 to April 2023. Across cohorts, parents attended 85% of sessions. Most parents rated the treatment sessions as helpful (79%; agree/strongly agree) and felt supported by the other group members (84%). All parents (100%) reported MF-GSH-FBT helped their child, and most (90%) reported their child had improved by end-of-treatment. On average, adolescents gained 3.53 kg (SD: 3.76) from pre- to post-treatment, with percent estimated mean body weight increasing 5% on average. Parental self-efficacy also increased from baseline to end-of-treatment. MF-GSH-FBT for AN appears feasible and acceptable to parents participating in this pilot study. Challenges with recruitment and adolescent data collection remain questions for future investigation. This study describes initial pilot testing of a virtual guided self-help family-based treatment for adolescents with anorexia nervosa delivered in a multi-family group format. This treatment aims to enhance access to family-based treatment for anorexia nervosa whilst providing additional support to parents.

Effects of a Faith-Based Obesity Intervention on African American and Latino Adults' Children.

Faith-based interventions are promising for promoting healthy behaviors among adults, but their ripple effects on participants' children are unknown. This study is one of the first to assess the effects of a faith-based multilevel obesity intervention on adult participants' children. We analyzed quantitative data from a cluster randomized controlled trial with two African American and two Latino churches in South Los Angeles, California, which invited adult participants to enroll one child (5-17 years) in a sub-study. At baseline and 6-7 months follow-up, parents completed a child health survey, which included the family nutrition and physical activity screening tool, and child height and weight were measured (n = 50). Results from linear regression models showed children of intervention participants, compared to control, had significantly better dietary patterns at follow-up. Findings suggest the health benefits of a faith-based multilevel obesity intervention for adults can extend to children and may help address obesity disparities.

Adherence to plant-based dietary patterns and anthropometric indices among primary school girls in Kerman: A cross-sectional study.

The objective of the study was to evaluate the association between adherence to plant-based dietary patterns and anthropometric indices among primary school girls in Kerman. This cross-sectional study included 330 girls aged 6-12. A reliable and validated dish-based food frequency questionnaire was used to collect dietary data. Weight, height, and mid-arm circumference were measured, and z-score charts from the World Health Organization for girls between the ages of 5 and 19 were utilized. We used Satija et al. method to calculate plant-based diet index scores. After adjusting for age and energy, participants in the higher tertile of the overall plant-based diet index (PDI) had a lower height-for-age z score (HAZ) (0.38±0.12 vs. 0.59±0.12 kg; P = 0.033). Higher unhealthful plant-based diet index (uPDI) scores were significantly associated with decreased HAZ in models 2 (p = 0.028) and 3 (p = 0.035). A higher PDI score was associated with lower odds of being underweight and overweight, respectively (Model 1: P trend = 0.007, <0.001; Model 2: P trend = 0.010, 0.001). A significant inverse association was found between healthful plant-based diet index (hPDI) scores and underweight risk in the crude and adjusted models. (Model 1: P trend = 0.021; model 2: P trend = 0.018; Model 3: P trend = 0.031). Higher uPDI scores were associated with increased odds of being overweight and obese in all three models (Model 1: p trend<0.001; Model 2: p trend<0.001; Model 3: p trend = 0.001). We concluded that children who followed a plant-based diet had lower odds of being overweight and obese. Higher scores on the hPDI were linked to a decreased risk of being underweight, while higher scores on the uPDI were associated with an increased risk of being overweight and obese. The study suggests healthy plant-based diet may benefit children's weight and growth.

Growth patterns of children under 5 years old in rural area northern of Abha, Aseer Region, Saudi Arabia.

Measuring and monitoring physical growth is a key element in assessing children's health. The physical and mental development of a growing child are indicators of good health and nutrition. This study aimed to explore the patterns of growth parameters among children under 5 years old attending primary health care centres (PHCCs) in rural northern Abha. Feeding habits during the first 2 years of life were also assessed. This study was conducted on 1-5 April 2022 in all (PHCCs) in Billasamr and Ballahmar, two neighbourhoods of northern Abha. The investigator designed a form for collecting each child's age (months), weight (kilograms), gender, birth order, number of family members, type of feeding (exclusive breastfeeding, exclusive bottle feeding, or mixed feeding), and duration of exclusive breastfeeding. Gender affected the body weight of Saudi infants, as boys weighed significantly more than age-matched girls. Birth order also affected body weight. During the first and third years of life, Saudi children's body weight was not significantly affected by feeding type. During the second and fifth years of life, formula-fed children weighed more than breastfed or combination-fed children. However, during the fourth year of life, body weight was highest in combination-fed children. Growth patterns over time, established from multiple data points, must be used in conjunction with other medical and family history to evaluate appropriate growth. Recording and tracking body size, especially recumbent length and weight, as part of well-baby care is critical for any assessment of child wellbeing and health status.

Growth charts for weight and height of Indian children with Down syndrome.

Age and gender specific growth charts for Indian children with Down syndrome (DS) based on longitudinal data have not been published. To establish percentile growth charts for DS children inhabiting northwestern parts of India, body weight and length/height of 1125 (Male: 752, Female: 373) children with DS aged <1 month to 10 years, enrolled from the "Genetics Clinic" were measured at half yearly age intervals in the "Growth Clinic" of the Institute from August 1994 to November 2018. A total of 2089 observations were made on these children using standardized anthropometric techniques and instruments following a prospective mixed-longitudinal growth research design. Using the LMS method, age and sex-specific percentile growth charts (<1 month to 10 years) for weight, and length/ height were generated. Unpaired t-test was used to compare mean growth attainments of study children with those of DS patients representing other population groups as well as their normal Multicentre Growth Reference Study (MGRS and Indian Academy of Pediatrics (IAP) counterparts. The 50th percentile growth curves for both weight and length/height of Indian children with DS demonstrated a regular increase. As compared to their normal MGRS and Indian (IAP) counterparts, the children with DS had lower weight and height attainments. The boys and girls with Down syndrome showed short stature (height < 3rd centile) from the age of 1 year till 10 years and also became underweight beyond 5 years. As compared to their normal counterparts, children with Down syndrome exhibited compromised auxological attainments. The use of growth charts presented herein may be used to compare and monitor growth and nutritional status of Indian children with Down syndrome.

Individual, family and social-related factors of eating behavior among Chinese children with overweight or obesity from the perspective of family system.

The purpose of the present study is to examine the factors contributing to the development of eating behavior in overweight and obese children from the perspective of the family system. A cross-sectional survey was conducted by using convenience sampling method to select 388 participants in two primary schools in Jiangsu, China. Individual, family and social-related factors were collected. Individual factors included age, gender, ethnicity, single child, social anxiety, depression, physical activity, sleep duration, screen time. Family factors included family environment, family structure, family function, family income, parenting style, parental feeding behavior, home food environment and marital satisfaction. Social-related factors included place of residence, number of surrounding restaurants and social support. Univariate analysis, correlation analysis and multivariate analysis were used to identify factors of eating behavior among Chinese children with overweight and obese. In this study, 388 participants took part with a 94.865% response rate. In the univariate analysis, the significant differences regarding Dutch Eating Behavior Questionnaire (DEBQ) scores were found between children aged 6-9 years and those aged >9 years. Correlation analysis indicated that parent's nutrition literacy (r = 0.118, P < 0.05), pressure to eat (r = 0.212, P < 0.01), perception of child weight (r = -0.112, P < 0.05) and family function (r = -0.563, P < 0.01) were associated with children's eating behavior. With regard to psychosocial factors, children's social anxiety (r = 0.299, P < 0.01) and depressive symptoms (r = 0.081, P < 0.05) were in positive correlation with eating behavior. The independent variables included in the initial model were age, father's employment status, social anxiety, maternal punishment and harshness, parents' nutrition literacy, pressure to eat, family function and perception of child weight. These variables in the final model accounted for 20.7% of the variance. We found that age, father's employment status, social anxiety, maternal punishment and harshness, parents' nutrition literacy, pressure to eat, family function and perception of child weight have great effect on children's eating behavior who are overweight or obese. As early childhood is a critical timeline for child development, children's social anxiety, parenting style, parent's nutrition literacy, parent's feeding behavior and family function should be intervened to promote eating behavior. Intervention programs aimed at promoting healthy eating behaviors among children, thereby mitigating the risk of pediatric obesity, should primarily target parents.

Body weight in childhood, adolescence, and young adulthood in relation to later risk of disabilities and early retirement among Danish female nurses.

Obesity is now the most common health problem in the younger population in Western societies and obesity rates are higher in lower socioeconomic status (SES) groups. We investigated whether overweight in childhood, independently of overweight in adulthood, influenced adult employment status and later risk of having disabilities. Using data from the Danish Female Nurse Cohort study, we examined associations between overweight in childhood/adolescence, and young adulthood and disabilities and early retirement in later adulthood (>44 years) and whether it was influenced by menopausal age (<or ≥52 years). We analysed data from 10,363 female nurses recruited in 1999, who reported whether they, as children, were larger or of similar weight size as their peers at any age below 13 years, between 13 and 19 years, their weights, and heights at 25 years, their current work situation and whether they had had disabilities for more than 6 months. Our results showed that overweight in childhood, adolescence and young adulthood was associated with an increased risk of disabilities and early retirement. Especially childhood overweight that did not persist into adulthood was associated with an increased risk of disabilities (OR = 1.82, 95% CI = 1.26-2.63) and early retirement (OR = 2.05, 95% CI = 1.38-3.03) in the postmenopausal group. A similar increased risk for disabilities (OR = 1.76, 95% CI = 1.26-2.47) was seen for adolescent overweight that did not persist into adulthood. The results show that in a well-educated population of women, overweight in childhood and/or adolescence had adverse socioeconomic consequences for later risk of disabilities and early retirement irrespective of weight status in adulthood.

Early life body size and puberty markers as predictors of breast cancer risk later in life: A neural network analysis.

The early life factors of birthweight, child weight, height, body mass index (BMI) and pubertal timing are associated with risks of breast cancer. However, the predictive value of these factors in relation to breast cancer is largely unknown. Therefore, using a machine learning approach, we examined whether birthweight, childhood weights, heights, BMIs, and pubertal timing individually and in combination were predictive of breast cancer. We used information on birthweight, childhood height and weight, and pubertal timing assessed by the onset of the growth spurt (OGS) from 164,216 girls born 1930-1996 from the Copenhagen School Health Records Register. Of these, 10,002 women were diagnosed with breast cancer during 1977-2019 according to a nationwide breast cancer database. We developed a feed-forward neural network, which was trained and tested on early life body size measures individually and in various combinations. Evaluation metrics were examined to identify the best performing model. The highest area under the receiver operating curve (AUC) was achieved in a model that included birthweight, childhood heights, weights and age at OGS (AUC = 0.600). A model based on childhood heights and weights had a comparable AUC value (AUC = 0.598), whereas a model including only childhood heights had the lowest AUC value (AUC = 0.572). The sensitivity of the models ranged from 0.698 to 0.760 while the precision ranged from 0.071 to 0.076. We found that the best performing network was based on birthweight, childhood weights, heights and age at OGS as the input features. Nonetheless, this performance was only slightly better than the model including childhood heights and weights. Further, although the performance of our networks was relatively low, it was similar to those from previous studies including well-established risk factors. As such, our results suggest that childhood body size may add additional value to breast cancer prediction models.

Effects of poor eating habits on children's body weight

The primary objective of this research is to delve into the correlation between suboptimal dietary habits and the body weight of children residing in Mostar city, Bosnia and Herzegovina. By examining the dietary patterns prevalent among the youth in this specific urban setting, the study seeks to uncover how these habits may be linked to variations in body weight. Through a comprehensive investigation, the aim is to contribute valuable insights into the intricate relationship between eating behaviors and the physical well-being of children in Mostar, thereby informing potential interventions or strategies for promoting healthier lifestyles within this population. In conclusion this pattern of dietary habits not only influences physical health but also has implications for overall well-being and may pose challenges for the long-term health trajectory of school-age boys. It underscores the importance of promoting healthier dietary choices and lifestyle habits from an early age to mitigate the potential adverse effects on children's health.

Childhood obesity and adolescent follow-up depressive symptoms: exploring a moderated mediation model of body esteem and gender

Obesity is a well-recognized risk factor for adolescent depressive symptoms, but mediating mechanisms of this association have scarcely been studied. This study is unique in examining an indirect pathway of this link via body esteem (BE) prospectively from childhood (8–12 years) to adolescence (13–18 years). In addition, potential gender moderation was examined. This study utilized data from a case–control study comparing 100 children with and without obesity matched on important confounders (age, gender, and socioeconomic status). Our findings provide support for the mediating role of BE in the link between childhood weight status and adolescent depressive symptoms at a 5-year follow-up. This mediation effect did not differ between boys and girls. The findings suggest the relevance of specifically targeting children’s BE in preventive intervention programs among children with obesity to prevent future mental health problems.

A penalized variable selection ensemble algorithm for high-dimensional group-structured data.

This paper presents a multi-algorithm fusion model (StackingGroup) based on the Stacking ensemble learning framework to address the variable selection problem in high-dimensional group structure data. The proposed algorithm takes into account the differences in data observation and training principles of different algorithms. It leverages the strengths of each model and incorporates Stacking ensemble learning with multiple group structure regularization methods. The main approach involves dividing the data set into K parts on average, using more than 10 algorithms as basic learning models, and selecting the base learner based on low correlation, strong prediction ability, and small model error. Finally, we selected the grSubset + grLasso, grLasso, and grSCAD algorithms as the base learners for the Stacking algorithm. The Lasso algorithm was used as the meta-learner to create a comprehensive algorithm called StackingGroup. This algorithm is designed to handle high-dimensional group structure data. Simulation experiments showed that the proposed method outperformed other R2, RMSE, and MAE prediction methods. Lastly, we applied the proposed algorithm to investigate the risk factors of low birth weight in infants and young children. The final results demonstrate that the proposed method achieves a mean absolute error (MAE) of 0.508 and a root mean square error (RMSE) of 0.668. The obtained values are smaller compared to those obtained from a single model, indicating that the proposed method surpasses other algorithms in terms of prediction accuracy.

Association of child weight with attendance at a healthy lifestyle service among women with obesity during pregnancy.

Women with obesity during pregnancy are at increased risk of excessive gestational weight gain (GWG) and other maternal and infant adverse outcomes, which all potentially increase childhood obesity. This study explored infant weight outcomes for women with a body mass index (BMI) ≥ 35 kg/m² who were offered an antenatal healthy lifestyle service. A retrospective cohort study, including linking data from two separate health care Trusts, was undertaken. Data werecollected from maternity records for women with a BMI ≥ 35 kg/m2 referred to an antenatal healthy lifestyle service from 2009 to 2015. The respective child's weight outcome data was additionally collected from health and National Child Measurement Programme records. Univariate logistic regression determined the odds of childhood overweight, obesity and severe obesity according to attendance at the antenatal healthy lifestyle service, GWG and sociodemographic characteristics. Factors significant (p < 0.05) within the univariate analysis were entered into multiple logistic regression models. Among women with a BMI ≥ 35 kg/m², 30.4% of their children were obese at school entry and 13.3% severely obese. Healthy lifestyle service attendance was not associated with childhood overweight or obesity at any point within the univariate analysis. At school age multiple regression analysis showed the odds of overweight and obesity increased with excessive GWG and the odds of obesity decreased with a parent in a professional occupation, additionally having a mother who smoked in pregnancy increased severe obesity. Women should be supported to optimise their BMI before pregnancy. Additionally, rather than exclusively focusing on changing an individual's behaviour, future interventions should consider external influences such as the woman's family, friendsand sociodemographic background.

Associations of Broader Parental Factors with Children's Happiness and Weight Status through Child Food Intake, Physical Activity, and Screen Time: A Longitudinal Modeling Analysis of South Korean Families.

This study investigated how broader parental factors including parental happiness, parental play engagement, and parenting stress are related to Korean children's happiness and weight status across three years via indirect pathways through the children's energy-related behaviors of healthy and unhealthy food intake, physical activity, and screen time. Data from 1551 Korean parent pairs and 7-year-old children in the Panel Study on Korean Children were analyzed. A path analysis and gender-based multi-group analysis were conducted. Maternal happiness was negatively related to child screen time. Maternal play engagement showed positive concurrent associations with child healthy food intake and physical activity and negative associations with screen time. Maternal parenting stress was negatively related to child healthy eating. There was one significant finding related to fathers' role on children's energy-related behaviors, happiness, and weight status: the positive association between parental happiness and boys' unhealthy food intake. Child screen time was positively related to child weight status and negatively to child happiness at each age. Broader maternal parenting factors can serve as a protective factor for childhood happiness and weight status in 7-to-9-year-olds through being associated with a reduction in child screen time.

Differences in weight status among Australian children and adolescents from priority populations: a longitudinal study.

Australia has a high level of cultural and linguistic diversity, including Aboriginal and Torres Strait Islander peoples. Children from specific cultural and ethnic groups may be at greater risk of overweight and obesity and may bear the additional risk of socioeconomic disadvantage. Our aim was to identify differences in body-mass index z-score (zBMI) by: (1) Cultural and ethnic groups and; (2) Socioeconomic position (SEP), during childhood and adolescence. We used data from the Longitudinal Study of Australian children (n = 9417) aged 2-19 years with 50870 longitudinal measurements of zBMI. Children were classified into 9 cultural and ethnic groups, based on parent and child's country of birth and language spoken at home. These were: (1) English-speaking countries; (2) Middle East & North Africa; (3) East & South-East Asia; (4) South & Central Asia; (5) Europe; (6) Sub-Saharan Africa; (7) Americas; (8) Oceania. A further group (9) was defined as Aboriginal and Torres Strait Islander from self-reported demographic information. Longitudinal cohort analyses in which exposures were cultural and ethnic group and family socioeconomic position, and the outcome was zBMI estimated using multilevel mixed linear regression models. We stratified our analyses over three periods of child development: early childhood (2-5 years); middle childhood (6-11 years); and adolescence (12-19 years). Across all three periods of child development, children from the Middle East and North Africa, the Americas and Oceania were associated with higher zBMI and children from the two Asian groups were associated with lower zBMI, when compared to the referent group (English). zBMI was socioeconomically patterned, with increasingly higher zBMI associated with more socioeconomic disadvantage. Our findings identified key population groups at higher risk of overweight and obesity in childhood and adolescence. Prevention efforts should prioritize these groups to avoid exacerbating inequalities in healthy weight in childhood.