Family Environment and Childhood Obesity: A New Framework with Structural Equation Modeling

Environmental factors of obesity before and after COVID-19 pandemic: a review

In past decades the prevalence of overweight and obesity had grown rapidly. There are numerous factors contributing to this unfavorable change in people's health. This review article investigates the environmental factors which may play a role in the prevalence of overweight and obesity and additionally the novel factors which appeared after the beginning of the COVID-19 pandemic, which caused the increase in BMI during the lockdown period. Most of the studies reveal that the COVID-19 pandemic and lockdown contributed to the growth of BMI in numerous countries and, eventually the prevalence of overweight and obesity increased. Studies suggest that the physical activity was decreased while sleep time and screen time were increased and the amount of food consumed increased, additionally more processed food with long shelf life was consumed. The diverse environmental factors may have an impact on obesity and overweight development taking into account policy and local school policy issues, socioeconomic status, lifestyle including physical activity, diet habits, and amongst others, more trivial causes such as uninteresting neighborhoods, lack of sense of security outside the place of residence or a long distance from shops. Still, this is the object of debate if air pollution is an environmental risk factor influencing the unfavorable trends towards increasing body weight.

Developmental Programming in Animal Models: Critical Evidence of Current Environmental Negative Changes

The Developmental Origins of Health and Disease (DOHaD) approach answers questions surrounding the early events suffered by the mother during reproductive stages that can either partially or permanently influence the developmental programming of children, predisposing them to be either healthy or exhibit negative health outcomes in adulthood. Globally, vulnerable populations tend to present high obesity rates, including among school-age children and women of reproductive age. In addition, adults suffer from high rates of diabetes, hypertension, cardiovascular, and other metabolic diseases. The increase in metabolic outcomes has been associated with the combination of maternal womb conditions and adult lifestyle-related factors such as malnutrition and obesity, smoking habits, and alcoholism. However, to date, "new environmental changes" have recently been considered negative factors of development, such as maternal sedentary lifestyle, lack of maternal attachment during lactation, overcrowding, smog, overurbanization, industrialization, noise pollution, and psychosocial stress experienced during the current SARS-CoV-2 pandemic. Therefore, it is important to recognize how all these factors impact offspring development during pregnancy and lactation, a period in which the subject cannot protect itself from these mechanisms. This review aims to introduce the importance of studying DOHaD, discuss classical programming studies, and address the importance of studying new emerging programming mechanisms, known as actual lifestyle factors, during pregnancy and lactation.

The relationships between parents' and children's screen times on body mass index: a cross-sectional path analysis

BACKGROUND

Understanding factors contributing to an individual reducing screen time is essential for promoting a healthy weight. Parents' behavior affects children by influencing their daily decision-making through modeling, rules or restrictions, social support, and co-participation. We examined how the direct and indirect effects of parents' and children's behaviors regarding screen time influenced body mass index (BMI) among Japanese elementary school children.

METHODS

We included 283 Japanese children, one child per household, aged 6-12 years, who were randomly selected from resident registries of two cities. The questionnaires were completed by children and their mothers and fathers. Screen time and sociodemographic attributes, including sex, age, employment status, height, and weight, were assessed using a mail-based survey. Path analyses were conducted to determine associations among children's, fathers', and mothers' variables. It was hypothesized that after controlling for household income and children's sex and age, mothers' and fathers' screen time on weekdays and weekends would be related to children's weekdays and weekend screen time, respectively. In addition, we hypothesized that children's weekday and weekend screen time was related to children's BMI.

RESULTS

Both fathers' and mothers' weekday screen times were associated with children's weekday and weekend screen times. BMI was affected by children's weekday screen time (0.117). The path coefficients for the indirect effects of mothers' and fathers' screen time on children's BMI through children's weekday screen time were 0.016 from the fathers' weekday screen time and 0.024 from the mothers' weekday screen time (GFI = .980, AGFI = .953, RMSEA = .030, AIC = 93.030).

CONCLUSIONS

Both fathers' and mothers' weekday screen times indirectly affected children's BMI through children's weekday screen time among Japanese elementary school children. The strongest indirect effects could be seen by examining the paths of a mother's weekday screen time through children's screen time to BMI. Mothers who spend much time with their children are role models, and their behavior could affect the child's behavior. The findings imply that intervention strategies to reduce screen time in children should also focus on modeling the mothers' behavior.

Neighborhood Food Environment and Children's BMI: A New Framework with Structural Equation Modeling

The relationship between neighborhood food environment and childhood obesity is complex and not yet well defined by current research in China, especially when considering the integrated effects with other relative factors. The main purpose of this article is to introduce a framework of children's weight status, based on their neighborhood food environment, and to identify the impact of food environment on the children's BMI and potential pathways. The participants of this cross-sectional study were students aged 8-16.5 years old and their parents. Two conceptual frameworks were tested using the structural equation modeling method, and two models were extracted. Model B added the neighborhood food environment based on model A. By comparing the two models, the neighborhood environment was potentially correlated with the children's BMI directly and may have a positive impact on unhealthy-food eating behaviors, which were positively associated with the children's BMI. The results suggest that the focus should be placed on the integrated effects of the potential risk factors of childhood obesity, based on considering the neighborhood food environment, which may relate to children's unhealthy-food eating behaviors and weight status.

Food consumption habits, gestational age and birth weight are predictive for children with excess weight: An analysis based on artificial neural network

The relationship between body weight gain and the onset of obesity is linked to environmental and behavioral factors, and may be dependent on biological predisposing. Artificial neural networks are useful predictive tools in the field of artificial intelligence, and can be used to identify risk factors related to obesity. The aim of this study is to establish, based on artificial neural networks, a predictive model for overweight/obesity in children based on the recognition and selection of patterns associated with birth weight, gestational age, height deficit, food consumption, and the physical activity level, TV time and family context. Sample consisted of 149 children (72 = eutrophic and 77 = overweight/obese). Collected data consisted of anthropometry and demographic characteristics, gestational age, birth weight, food consumption, physical activity level, TV time and family context. The gestational age, daily caloric intake and birth weight were the main determinants of the later appearance of overweight and obesity. In addition, the family context linked to socioeconomic factors, such as the number of residents in the household, had a great impact on excess weight. The physical activity level was the least important variable. Modifiable risk factors, such as the inadequate food consumption, and non-modifiable factors such as gestational age were the main determinants for overweight/obesity in children. Our data indicate that, combating excess weight should also be carried out from a social and preventive perspective during critical periods of development, such as pregnancy, lactation and early childhood, to reach a more effective strategy to combat obesity and its complications in childhood and adult life.

Food Insecurity and Childhood Obesity: A Systematic Review

BACKGROUND AND OBJECTIVES

Addressing food insecurity while promoting healthy body weights among children is a major public health challenge. Our objective is to examine longitudinal associations between food insecurity and obesity in US children aged 1 to 19 years.

METHODS

Sources for this research include PubMed, CINAHL, and Scopus databases (January 2000 to February 2022). We included English language studies that examined food insecurity as a predictor of obesity or increased weight gain. We excluded studies outside the United States and those that only considered the unadjusted relationship between food security and obesity. Characteristics extracted included study design, demographics, methods of food security assessment, and anthropometric outcomes.

RESULTS

Literature searches identified 2272 articles; 13 met our inclusion criteria. Five studies investigated the relationship between food insecurity and obesity directly, whereas 12 examined its relationship with body mass index or body mass index z-score. Three studies assessed multiple outcomes. Overall, evidence of associations between food insecurity and obesity was mixed. There is evidence for possible associations between food insecurity and obesity or greater weight gain in early childhood, for girls, and for children experiencing food insecurity at multiple time points. Heterogeneity in study methods limited comparison across studies.

CONCLUSIONS

Evidence is stronger for associations between food insecurity and obesity among specific subgroups than for children overall. Deeper understanding of the nuances of this relationship is critically needed to effectively intervene against childhood obesity.

The Analysis of Trends of Preschool Child Stunting, Wasting and Overweight in the Eastern Mediterranean Region: Still More Effort Needed to Reach Global Targets 2025

BACKGROUND

This study was undertaken to analyze and compare Eastern Mediterranean (EM) countries in achievement of WHO nutrition global targets for children growth indicators by 2025.

METHODS

A total of 108 national surveys from 20 countries in EM region were analyzed to estimate the prevalence of stunting and wasting and 93 surveys to estimate the prevalence of overweight/obesity in children. These data were obtained from national surveys included in the WHO Global Database on Child Growth and Malnutrition.

RESULTS

In EM region, the prevalence of childhood stunting was estimated to have a 38% decline from 2000 (34.7%) to 2025 (21.2%). Only three countries in EM region (Iran and Jordan, Saudi Arabia) were anticipated to achieve the expected WHO target by 2025. From 2000 to 2020, the prevalence of wasting decreased from 6.9 to 5.3. Six countries were presumed to achieve the expected WHO target by 2025. Nine countries will presumably have overweight rates >5% (Djibouti, Egypt, Iraq, Kuwait, Lebanon, Libya, Morocco, Syrian Arab Republic and Tunisia) in 2025 whereas five countries will have overweight rates above 10% (Egypt, Libya, Morocco, Syrian Arab Republic and Tunisia).

CONCLUSION

Despite descending trends of child stunting and wasting and a secular trend of child obesity in EM region, it is expected that WHO targets will not be achieved by 2025. A diverse socio-economic condition in EM countries necessitates different action plans. International determination, political commitment and, above all, involvement of the families are needed to achieve 2025 targets for child stunting, wasting and overweight/obesity.

Adolescent Obesity Modeling: A Framework of Socio-Economic Analysis on Public Health

Bayesian Structural Equation Modeling (SEM-Bayesian) was applied across different research areas to model the correlation between manifest and latent variables. The primary purpose of this study is to introduce a new framework of complexity to adolescent obesity modeling based on adolescent lifestyle through the application of SEM-Bayesian. The introduced model was designed based on the relationships among several factors: household socioeconomic status, healthy food intake, unhealthy food intake, lifestyle, body mass index (BMI) and body fat. One of the main contributions of this study is from considering both BMI and body fat as dependent variables. To demonstrate the reliability of the model, especially in terms of its fitting and accuracy, real-time data were extracted and analyzed across 881 adolescents from secondary schools in Tehran, Iran. The output of this study may be helpful for researchers who are interested in adolescent obesity modeling based on the lifestyle and household socioeconomic status of adolescents.

Parents' Attitudes Toward School Students' Overuse of Smartphones and Its Detrimental Health Impacts: Qualitative Study

BACKGROUND

Parents' awareness of the risks of the overuse of smartphones (SPs) among their children and parents' attitudes toward this societal phenomenon are crucial factors to consider when investigating the causes and effects of, as well as interventions to control, this public health issue.

OBJECTIVE

This study aimed to explore the awareness and attitudes of parents regarding SP overuse among their children and the detrimental impacts associated with it.

METHODS

The qualitative method of semistructured face-to-face interviews was used to collect data from fathers and mothers of children aged 6-18 years from all 6 educational/governorate regions in the governmental sector in Kuwait.

RESULTS

A total of 120 parents agreed to participate in the study; there were more female (75/120, 62.5%) than male (45/120, 37.5%) respondents. Almost all of the participants (118/120, 98.3%) were aware that the overuse of SPs could lead to their children becoming addicted to the devices; they were also aware that there could be side effects on their children's health (117/120, 97.5%). Although the participants, mostly the mothers, supervised their children's use of SPs closely (106/120, 88.3%), the majority could not control their children's length of time using SPs, as the children considered this a deprivation of their rights. Eye-related problems, headaches, and anger were the most common side effects experienced by the children.

CONCLUSIONS

Although the parents were aware of the detrimental impacts of SP overuse, the majority could not control the length of time their children spent using the devices. It was found that strong social bonds among family members play a large role in controlling the use of SPs. A number of solutions for families and the government to combat the overuse of SPs are suggested.

Early childhood factors associated with obesity at age 8 in Vietnamese children: The Young Lives Cohort Study

Background

Over recent decades, Vietnam has experienced rapid economic growth, a nutrition transition from the traditional diet to highly-processed and calorie-dense foods and beverages, and an increasing prevalence of childhood overweight/obesity (ow/ob). The goal of this study is to describe the patterns of ow/ob in a longitudinal sample of Vietnamese children from ages 1 to 8, and the sociodemographic and behavioral factors associated with ow/ob at age 8.

Methods

This study is a secondary data analysis of a geographically-representative, longitudinal cohort of 1961 Vietnamese children from the Young Lives Cohort Study from 2002 to 2009. Thirty-one communities were selected with oversampling in rural communities, and children age 1 were recruited from each community using simple random sampling. Surveys of families and measurements of children were collected at child ages 1, 5, and 8. Our specified outcome measure was childhood ow/ob at age 8, defined by the World Health Organization’s thresholds for body-mass-index (BMI) for age Z-scores. Associations between early and concurrent socio-behavioral factors, childhood nutrition and physical activity variables were analyzed using STATA 15. Bivariate and multivariable analyses were completed utilizing logistic regression models.

Results

The prevalence of ow/ob increased from 1.1% in both sexes at age 1 to 7% in females and 13% in males at age 8. Bivariate analyses show greater likelihood of ow/ob at age 8 was significantly associated with early life sociodemographic factors (at age 1), male sex (OR = 2.2, 1.6–3.1), higher wealth (OR = 1.1–1.4), and urban residence (OR = 4.3, 3–6). In adjusted analyses, ow/ob at age 8 was associated with early nutrition practices at age 5, including frequent consumption of powdered milk (OR = 2.8, 1.6–4.6), honey/sugar (OR = 2.7, 1.8–4.1), prepared restaurant/fast foods (OR = 4.6, 2.6–8.2), and packaged sweets (OR = 3.4, 2.3–4.9). In addition, breastfeeding for 6 months or longer was protective against obesity at age 8 (OR = 0.3, 0.1–0.9).

Conclusions

We found that increased consumption of powdered milk, honey/sugar, packaged sweets, and prepared restaurants/fast foods are associated with childhood ow/ob. In contrast, breastfeeding for 6 months or longer was protective against childhood ow/ob. These findings suggest that public health programs and campaigns aimed to prevent childhood ow/ob in Vietnam should target early feeding practices.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10292-z.

Family characteristics, perceived environment for physical activity, and childhood obesity: An approach with structural equation models

OBJECTIVES

To evaluate the direct and indirect effects of family characteristics and the perceived neighborhood environment on obesity risks among schoolchildren.

METHODS

Through phone contact with the child's mothers/guardians, the perceptions about the aspects of the neighborhood that could limit or promote health. Physical activity, socioeconomic data, self-reported weight and height, and ultra-processed consumption of the respondents were evaluated, in addition to the screen time of both mothers and children. A hybrid model of structural equations was used to test the direct and indirect effects of family and environmental variables on childhood obesity.

SETTING

Belo Horizonte, Minas Gerais, Brazil.

SUBJECTS

A total of 322 children from 9 to 10 years old from municipal schools and their respective mothers/guardians.

RESULTS

Childhood obesity was positively associated with obesity among mothers/guardians and with the latent variable "socioeconomic status (SES)." It was observed that the child's guardians positively influenced childhood obesity through their own habits, such as screen time and consumption of ultra-processed products, with obesity of mothers/guardians as mediators of both associations. There were no direct and indirect effects of the latent variables of the perceived environment in childhood obesity.

CONCLUSION

Family characteristics are important determinants of childhood obesity and should be considered when designing prevention strategies. Parental perceptions of neighborhood characteristics did not have an influence on childhood obesity.

Family and Lifestyle Factors Mediate the Relationship between Socioeconomic Status and Fat Mass in Children and Adolescents

Socioeconomic status (SES) is strongly associated with childhood overweight. The underlying mechanism and the role of family and lifestyle factors as potential mediators of this relationship remain, however, unclear. Cross-sectional data of 4,772 girls and boys aged 5-16 years from the Kiel Obesity Prevention Study were considered in mediation analyses. Fat mass (FM) was assessed by bioelectrical impedance analysis and converted into a percent FM SD score (FM%-SDS). SES was defined by the parental educational level, classified as low, middle, or high. Characteristics of family and lifestyle factors were obtained via validated questionnaires and considered as mediators. In 3 different age groups, the product-of-coefficients method was used to examine age-specific mediator effects on the relationship between SES and FM%-SDS (c = total effects) and their ratio to total effects, adjusted for age, sex, puberty, and nationality. The prevalence of overweight was 6.9%. In all age groups, SES was inversely associated with FM%-SDS as follows: 5-7 years, c1 = -0.11 (95% CI -0.19 to -0.03); 9-11 years, c2 = -0.21 (95% CI -0.27 to -0.14); and 13-16 years, c3 = -0.23 (95% CI -0.28 to -0.17). The relationship between SES and FM%-SDS was fully (5-7 and 9-11 years) and partly (13-16 years) mediated by similar and age-specific mediators, including parental BMI, parental smoking habits, media consumption, physical activity, and shared meals. Overall, these variables resulted in a total mediating effect of 77.8% (5-7 years), 82.4% (9-11 years), and 70.6% (13-16 years). Consistent for both sexes, the relationship between SES and FM%-SDS was therefore mediated by parental weight status, risk-related behavior within families, and children's and adolescents' lifestyle factors. Strategies for obesity prevention, which are predominantly targeted at socially disadvantaged groups, should therefore address the family environment and lifestyle factors.

The Influence of Maturity Status on Anthropometric Profile and Body Composition of Youth Goalkeepers

The anthropometric profile assessment is an important aspect to consider during the growth stages of youth sport practitioners due to its usefulness in controlling maturity status and overall health. We performed an anthropometric profile evaluation in a sample of youth goalkeepers (n = 42) during a training camp, dividing them into three categories based on their years from peak height velocity (YPHV). We also checked if the selection of goalkeepers was associated with the birth quartile. The results showed that most of the participants' anthropometric parameters followed the normal trend according to the maturation stages. However, several subjects showed an overweight/obese condition and/or high waist circumference. Non-optimal values were found, mostly in the group of goalkeepers around the PHV. In addition, no selection based on birth quartile was seen. Therefore, the anthropometric profile and body composition of youth goalkeepers are physiologically affected by maturity status. However, several subjects were found to be overweight/obese and at cardiometabolic risk, suggesting that children and adolescents, although practicing sport, should pay attention to potentially contributing factors such as the attainment of the recommended levels of physical activity, lowering sedentary time, and adopt a healthy lifestyle.

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Role of Parents in Body Mass Reduction in Children with Obesity-Adherence and Success of 1-Year Participation in an Intervention Program

Background and Objectives: Obesity in children and adolescents results in a number of serious health-related consequences necessitating early treatment. Support from family members and family-focused lifestyle interventions can improve effectiveness of the treatment. The aim of the study was to assess the effects of parental characteristics and family-based dietary habits on the adherence and success of a body mass reduction program in children with obesity included in a lifestyle intervention program after 1 year. Materials and Methods: The program included dietetic, psychosocial, and endocrine counseling given to individuals either alone or in groups and was conducted by a multidisciplinary team (consisting of endocrinologists, nurses, psychologists, social counselors, dietitians, and physiotherapists). A total of 113 children aged 10-17 years (mean age 12.9 ± 2.0; 60 girls, 53 boys) were included in the program. After 1 year of participation, the rate of adherence and success were assessed. The effect of the participants' general characteristics, including anthropometric data, as well as parental characteristics (marital status, employment, education, body mass index (BMI), duration of breastfeeding) and the circumstances of meal consumption (eating at home or outside, fast food consumption), was analyzed. Results: The most important factors predicting body mass reduction success were baseline BMI (p < 0.0001) and waist-hip ratio (WHR) (p = 0.04), but they did not predict body mass reduction adherence. Conclusions: The meal consumption habits and support from family members may be among the determinants of adherence to a body mass reduction program for preadolescents and adolescents with obesity. However, the results of the presented study suggested that baseline BMI and WHR are the most important determinants of the body mass reduction success.

A cohort study assessing the sustainable long-term effectiveness of a childhood-obesity intervention in China

BACKGROUND

Obesity has become a global epidemic, with substantial impacts on children's health. Numerous intervention studies for the prevention of obesity in children have been conducted during the most recent decade, but very few have evaluated the long-term and sustainable effectiveness of such prevention efforts.

METHODS

We conducted a follow-up study during September 2015 and September 2017, based upon a previous 3-year cluster randomized-controlled study (RCT) for a comprehensive childhood-obesity intervention in 14 primary schools in Shanghai, China. A total of 929 students were enrolled in the study. Generalized estimating equation approaches were applied to analyse student's body mass index (BMI), BMI z-score at baseline and three annual long-term follow-ups.

RESULTS

Three years after the end of the RCT study, the odds of developing obesity and the odds of developing obesity or overweight in the intervention group were both lower than in the control group among girls [OR(obesity) = 0.299, p = 0.010 and OR (overweight/obesity) = 0.493, p = 0.013]; the odds of developing obesity or overweight in the intervention group was lower than in the control group among boys (OR = 0.369, p = 0.017). Compared with the baseline, the BMI z-scores in the intervention group were lower than those in the control group for both normal-weight students (-0.027) and overweight or obese students (-0.074).

CONCLUSIONS

The 3-year RCT showed significant and reliable long-term effects on preventing childhood obesity, particularly among girls.

Environment and obesity

The aim of this review was to identify and, particularly, to classify all the numerous environmental factors that play a significant role in the environment-dependent body weight dysregulation. The main environmental obesogenic factors are related to build environment such as city plan, transport and school, inactivity, TV and screen-related immobility, smart-phone, video games; they are followed by agroalimentary factors such as imbalanced ingredients, pollutants, speed eating, portion size, sweet drinks, nibbling and junk foods supported by publicity, sociocultural and ethnic factors beside the global environmental changes and seasonal light/dark photoperiod. Beside the analytical examination of the obesogenic factors it is mentioned the cumulative effect that tends to coexist in the same population and thus magnify their pathogenic consequences. In addition, more than one obesogenic factors are present in the same population because they are the expression of another underlying common cause - poverty; such a recognition leads towards socio-economic considerations and consequently towards 'political' solutions that are beyond our scientific approach. The mechanism of action of the environmental influence includes the serotonergic system and insulin resistance. More recently, it was shown an environment dependent powerful microbiotic implication. Since obesity is influenced by genetically transmitted changes modulated by environment and lifestyle risk factors it is important to understand the genomic mechanism that allows these interactions. It was shown that obesity-predisposing gene variants that interact with environmental exposures use the DNA methylation epigenetic mechanism.

Eating habits and weight status in Finnish adolescents

Objective:

To investigate the association between eating habits and weight status in adolescents in Finland.

Design:

Cross-sectional study.

Setting:

The Finnish Health in Teens (Fin-HIT) study is a cohort study conducted in adolescents attending third to sixth grade in 496 schools in forty-four municipalities in Southern, Middle and Northern Finland in 2011–2014.

Participants:

Analyses included 10 569 adolescents from the Fin-HIT study aged 9–14 years (5005 boys and 5564 girls). Adolescents were categorized by their eating habits: healthy eaters (44·1 %; n 4661), unhealthy eaters (12·3 %; n 1298), and fruit and vegetable avoiders (43·6 %; n 4610); and they were grouped into weight status: underweight (11·1 %), normal weight (73·6 %) and excess weight (15·3 %).

Results:

We found an increased risk of underweight in fruit and vegetable avoiders (OR = 1·28; 95 % CI 1·12, 1·46). An irregular breakfast pattern showed an inverse association with underweight (OR = 0·70; 95 % CI 0·59, 0·84) and an increased risk of excess weight (OR = 1·56; 95 % CI 1·37, 1·77) compared with a regular breakfast pattern. An irregular dinner pattern was inversely associated with underweight (OR = 0·83; 95 % CI 0·69, 0·99) compared with a regular dinner pattern.

Conclusions:

Avoiding fruits and vegetables and following irregular breakfast and dinner patterns were associated with underweight and excess weight in adolescents.

Short sleep and low milk intake are associated with obesity in a community of school aged children from Argentina

OBJECTIVES

Understanding the factors related to obesity during childhood allows for improved preventive actions specifically adapted to particular communities. The purpose of this study was to identify individual and familiar factors related to obesity in children.

METHODS

A cross-sectional study was conducted in an urban community in Argentina during the years 2015-2016. Weight and height were measured on a probabilistic sample of 1366 schoolchildren aged 6 to 12 years. BMI categories were established according to International Obesity Task Force (IOTF) cut-offs. Data were analyzed using multivariate and logistic regression models. Independent variables corresponded to four domains: anthropometric, socioeconomic and demographic, nutritional, and energy balance.

RESULTS

Twenty percent of children were categorized as overweight (OW) and 12.2% were obese (OB). Parental IOTF grade was positively associated with childhood OW/OB (father B = 0.421 P = 0.000, OR = 1.52, 95% CI 1.24-1.88; mother B = 0.498 P = 0.000, OR = 1.65, 95% CI 1.37-1.97). The remaining variables were negatively associated with OW/OB: hours of sleep (B = -0.566 P = 0.001, OR = 0.57, 95% CI 0.41-0.79), physical activity (B = -0.362 P = 0.017, OR = 0.70, 95% CI 0-52-0.94), and daily milk intake (B = -0.178 P = 0.045, OR = 0.84, 95% CI 0.70-0.99). Parental IOTF predicted both OW and OB, while sleep hours predicted OW and physical activity predicted OB.

CONCLUSIONS

Family should be considered the initial target for effective strategies to reduce obesity. Like physical activity, the promotion of milk and dairy intake, as well as sleep, may have a major role in obesity reduction because of their protective effects in this community.

Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method

Through public health studies, specifically on child obesity modeling, research scholars have been attempting to identify the factors affecting obesity using suitable statistical techniques. In recent years, regression, structural equation modeling (SEM) and partial least squares (PLS) regression have been the most widely employed statistical modeling techniques in public health studies. The main objective of this study to apply the Taguchi method to introduce a new pattern rather than a model for analyzing the body mass index (BMI) of children as a representative of childhood obesity levels mainly related to social media use. The data analysis includes two main parts. The first part entails selecting significant indicators for the proposed framework by applying SEM for primary and high school students separately. The second part introduces the Taguchi method as a realistic and reliable approach to exploring which combination of significant variables leads to high obesity levels in children. AMOS software (IBM, Armonk, NY, USA) was applied in the first part of data analysis and MINITAB software (Minitab Inc., State College, PA, USA) was utilized for the Taguchi experimental analysis (second data analysis part). This study will help research scholars view the data and a pattern rather than a model, as a combination of different factor levels for target factor optimization.

Pathways linking socioeconomic status to small-for-gestational-age (SGA) infants among primiparae: a birth cohort study in China

OBJECTIVES

Evidence about the relationship between socioeconomic status (SES) and small-for-gestational-age (SGA) infants was insufficient among Chinese primiparae. In addition, factors that may mediate this relationship are poorly understood. The purpose of this study was to investigate the risk of and mediators between SES and SGA.

DESIGN

Retrospective cohort study.

SETTING

Wuhan, Hubei, China.

METHOD

Participants were recruited from patients who gave birth in the maternity care hospital of Wuhan between September 2012 and October 2014. Logistic regression models were used to estimate the association between SES and SGA. Pathway analysis was performed to examine the contribution of maternal lifestyles and pregnancy-induced hypertension syndrome (PIH) to the relationship between SES and SGA. Total effect, direct effect and indirect effect of SES on SGA were measured. Effect sizes were evaluated by unstandardised estimates (B) and standardised estimates (ß).

RESULTS

Among 8737 primiparae, 927 (10.61%) pregnant women had babies with SGA. High SES was inversely associated with risk of SGA (OR 0.856; 95% CI 0.737 to 0.995) after adjustment for potential confounders. Maternal obstetric characteristics, lifestyles and PIH completely mediated SES and SGA (indirect effect: B=-0.067, 95% CI -0.108 to -0.026). The indirect effect of SES was strengthened by PIH (B=-0.029), a multivitamin supplement (B=-0.021), prepregnancy body mass index (BMI) ≥18.50 (B=-0.009) and prepregnancy BMI ≥18.50 to gestational weight gain (GWG) not below the Institute of Medicine (IOM) recommendations (B=-0.003).

CONCLUSIONS

Women from high SES predicted lower risk of PIH, more chances to take a multivitamin supplement during early pregnancy, keeping prepregnancy BMI ≥18.50 kg/cm² and gaining adequate gestational weight which was not below IOM recommendations. Furthermore, lower risk of PIH, more chances to take a multivitamin supplement, prepregnancy BMI ≥18.50 kg/cm² and GWG not below IOM recommendations were associated with a lower risk of SGA infants.

Diet Quality and Satisfaction with Life, Family Life, and Food-Related Life across Families: A Cross-Sectional Pilot Study with Mother-Father-Adolescent Triads

Family is a major determinant of children's and adolescents' eating behavior. The objectives of the present study were to assess diet quality, eating habits, satisfaction with life, family life, and food-related life in mother-father-adolescent triads, and to identify profiles of families according to family members' diet quality. Questionnaires were administered to a sample of 300 two-parent families with one child over the age of 10 in the city of Temuco (Chile), including the Adapted Healthy Eating Index (AHEI), Satisfaction with Life Scale (SWLS), Satisfaction with Food-related Life (SWFoL) scale, Satisfaction with Family Life (SWFaL) scales, and questions relating to their eating habits. Positive relationships were found between the diet quality of the family members, particularly between mothers and adolescents. Three family profiles with different diet qualities were identified: "families with an unhealthy diet" (39.3%), "families in which mothers and adolescents have healthy diets, but the fathers' diets require changes" (14.3%), and "families that require changes in their diet" (46.4%). These findings stress the key role of mothers in determining family diet quality and suggest a positive relationship between diet quality and satisfaction with life.