Methodological approach to the assessment of the obesogenic environment in children and adolescents: A review of the literature

Insights into youth nutritional status in Serbia: assessing prevalence and trend in the context of social determinants

BACKGROUND

The study aimed to assess the prevalence and distribution of different levels of nutritional status among young people, to examine its association with social determinants of health, and to analyse its trend over time.

METHOD

The research was a secondary analysis of the data from four national health surveys of the Serbian population. The research sample included 11,243 respondents, aged 15 to 29, both genders. A multivariate logistic regression model was applied to examine the association between socio-demographic characteristics, lifestyle, health status, and the level of respondents' nutritional status. The trend analysis of the levels of nutritional status by the research years was done using multiple linear regression in adjusted models.

RESULTS

A total of 63.3% of respondents had body mass index (BMI) in the normal weight range, 11.7% were underweight, 18.5% were pre-obese, and 6.2% were obese. The average BMI of the study participants was 23.01 ± 6.01. The female respondents were more frequently underweight, and the male respondents were pre-obese and obese. Different factors were associated with different nutritional status levels - for underweight: female gender (OR: 5.29), age 15-19 (OR: 0.06), being married/ in a relationship (OR: 0.69), living in Belgrade region (OR: 1.35), presence of chronic diseases (OR: 0.56), consumption of psychoactive substances (OR:0.56) and non-smoking (OR: 0.70); for pre-obesity: female gender (OR: 0.38), ages 15-19 (OR:0.36) and 20-24 (OR:0.65), being married/ in a relationship (OR: 1.39), having high wealth index (OR:1.30) and non-smoking status (OR:1.32); for obesity: female gender (OR: 0.36), ages 15-19 (OR:0.35) and 20-24 (OR:0.51), being married/ in a relationship (OR:2.31) and primary education level (OR:2.17). The trend analysis of nutritional status level in the research period showed an increase in the average value of the BMI of the respondents in the entire sample, as well as the prevalence of obesity, while the prevalence of underweight and pre-obesity decreased.

CONCLUSION

The research provided insight into the specific factors associated with and trends of levels of nutritional status of the young, leading to the conclusion that preventive and interventional public health programs and strategies must be fully adapted to their specific needs.

Mental health in adolescents with obesity: conflicting views among physicians, a qualitative study

Mental health issues in adolescents with obesity are multifold, with no explicit screening recommendations. The aim of this research is to explore how this screening is performed by physicians and, thus, how it impacts adolescents' care pathways, offering insights into how to improve it through a qualitative study using interpretative phenomenological analysis. Twenty physicians (non-psychiatrist physicians and child and adolescent psychiatrists) involved at various stages in the care pathway were interviewed with semi-structured questionnaires. The findings connect 2 meta-themes. Non-psychiatrist physicians perceive widespread but ill-defined suffering in adolescents with obesity. Non-psychiatrist physicians see screening for mental conditions as mandatory. Unlike child and adolescent psychiatrists, they are not experts in distinguishing psychosocial suffering from psychiatric disorders. Screening is clinical. Adolescents' demand to lose weight in a context of shaming and alexithymia limits their access to psychiatric care. Child and adolescent psychiatrists then redefine the medical response to polymorphous symptoms. Psychiatric diagnoses mainly involve anxiety and depression symptoms, seldom eating disorders.    Conclusion: Physicians have overtly conflicting perspectives over the intensity of mental conditions. Non-psychiatrists, sensitive to perceived distress, seek to have it quickly appraised if they detect a significant suffering. Child and adolescent psychiatrists find appraisal complex to perform in the absence of means, interest, and/or experience. Improving screening requires training health professionals and using multidisciplinary assessment means. What is Known: • Mental health and eating disorders are contributing factors of obesity but their relationship remains complex between cause and consequence. • Mental health conditions and psychosocial suffering are the main complications among adolescents suffering from obesity with guilt, sadness, or stigma. What is New: • Non-psychiatric physicians express their need of a specialized diagnosis to define this suffering, but the lack of availability of psychiatrists and the necessity of time and of a multidisciplinary team lead to a delayed assessment. • For psychiatrists, this suffering is often not a psychiatric condition. Though requiring attention, this can lead to a misunderstanding between professionals.

Scanning for Obesogenicity of Primary School Environments in Tshwane, Gauteng, South Africa

The purpose of this study was to scan for the obesogenicity of primary school environments in Tshwane, Gauteng, South Africa. This study was carried out in ten public primary schools in the Tshwane West district of the Gauteng province. An observational design was used to collect the data. Data collection was conducted using an observational checklist guided by the Analysis Grid for Environments Linked to Obesity (ANGELO) framework. The findings revealed that although a nutrition policy was available in most schools, few schools were communicating the policy. Despite all the schools having sports fields, children were not exercising. Most schools also had a school nutrition programme. Most primary schoolchildren's lunchboxes contained sweets, sugar-sweetened beverages, and snacks. A few lunchboxes contained fruits and vegetables. Primary schools in Tshwane West did not comply with most aspects of the school mapping environment, indicating that the school environments were obesogenic. It is therefore essential to scan for obesogenicity in all South African schools so that tailor-made interventions can be implemented to rectify and further prevent obesogenic school environments.

G Protein-Coupled Receptors and the Rise of Type 2 Diabetes in Children

The human genome counts hundreds of GPCRs specialized to sense thousands of different extracellular cues, including light, odorants and nutrients in addition to hormones. Primordial GPCRs were likely glucose transporters that became sensors to monitor the abundance of nutrients and direct the cell to switch from aerobic metabolism to fermentation. Human β cells express multiple GPCRs that contribute to regulate glucose homeostasis, cooperating with many others expressed by a variety of cell types and tissues. These GPCRs are intensely studied as pharmacological targets to treat type 2 diabetes in adults. The dramatic rise of type 2 diabetes incidence in pediatric age is likely correlated to the rapidly evolving lifestyle of children and adolescents of the new century. Current pharmacological treatments are based on therapies designed for adults, while youth and puberty are characterized by a different hormonal balance related to glucose metabolism. This review focuses on GPCRs functional traits that are relevant for β cells function, with an emphasis on aspects that could help to differentiate new treatments specifically addressed to young type 2 diabetes patients.

Motivational Interviewing in Pediatric Obesity: A Meta-analysis of the Effects on Behavioral Outcomes

BACKGROUND

Currently, the effects of motivational interviewing (MI) on children's behavioral changes remain obscure.

PURPOSE

This systematic review and meta-analysis examined the effects of MI on children's lifestyle behavioral changes (fruits and vegetables [F/V], dairy, sugary beverages, calories, snacks, fat intake, moderate vigorous physical activity [MVPA], and screen time).

METHODS

Six databases (CINAHL, Cochrane, Embase, PsycINFO, PubMed, and Web of Sciences) from 2005 to 2022 were searched. Thirty-one intervention studies with a comparison group met the criteria. Random-effects models were performed to estimate the pooled effects; exploratory moderation analyses with mixed-effects models were used to explore potential intervention moderators.

RESULTS

The pooled effect size was 0.10 (p = .334) on ↑F/V, 0.02 (p = .724) on ↑dairy, -0.29 (p < .001) on ↓calories, -0.16 (p = .054) on ↓sugary beverages, -0.22 (p = .002) on ↓snacks, -0.20 (p = .044) on ↓fat, 0.22 (p = .001) on ↑MVPA, and -0.06 (p = .176) on ↓screen time. The effects of MIs were moderated by ↑MI sessions regarding ↓snacks (B = -0.04, p = .010). Multicomponent and clinical programs had greater effects on dairy intake than their counterparts (0.09 vs. -0.21, p = .034; 0.12 vs. -0.14, p = .027, respectively). Similarly, interventions with a fidelity check resulted in greater dairy intake than those without a check (0.29 vs. -0.15, p = .014). A few long-term follow-up assessments revealed effects on ↓F/V (-0.18; p = .143, k = 2), ↓dairy (-0.13, p = .399, k = 4), ↓MVPA (-0.04; p = .611, k = 6), and ↑screen time (0.12; p = .242, k = 4).

CONCLUSIONS

Our findings support the short-term effects of MI on improving children's lifestyle behaviors. Additional investigations are needed to better sustain children's long-term behavioral changes.

A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation

BACKGROUND

Overweight and obesity are severe public health problems worldwide. Obesity can lead to chronic diseases such as type 2 diabetes mellitus. Environmental factors may affect lifestyle aspects and are therefore expected to influence people's weight status. To assess environmental risks, several methods have been tested using geographic information systems. Freely available data from online geocoding services such as OpenStreetMap (OSM) can be used to determine the spatial distribution of these obesogenic factors. The aim of our study was to develop and test a spatial obesity risk score (SORS) based on data from OSM and using kernel density estimation (KDE).

METHODS

Obesity-related factors were downloaded from OSM for two municipalities in Bavaria, Germany. We visualized obesogenic and protective risk factors on maps and tested the spatial heterogeneity via Ripley's K function. Subsequently, we developed the SORS based on positive and negative KDE surfaces. Risk score values were estimated at 50 random spatial data points. We examined the bandwidth, edge correction, weighting, interpolation method, and numbers of grid points. To account for uncertainty, a spatial bootstrap (1000 samples) was integrated, which was used to evaluate the parameter selection via the ANOVA F statistic.

RESULTS

We found significantly clustered patterns of the obesogenic and protective environmental factors according to Ripley's K function. Separate density maps enabled ex ante visualization of the positive and negative density layers. Furthermore, visual inspection of the final risk score values made it possible to identify overall high- and low-risk areas within our two study areas. Parameter choice for the bandwidth and the edge correction had the highest impact on the SORS results.

DISCUSSION

The SORS made it possible to visualize risk patterns across our study areas. Our score and parameter testing approach has been proven to be geographically scalable and can be applied to other geographic areas and in other contexts. Parameter choice played a major role in the score results and therefore needs careful consideration in future applications.

Incongruency of youth food and physical activity environments in the United States: Variations by region, rurality, and income

Local environments are increasingly the focus of health behavior research and practice to reduce gaps between fruit/vegetable intake, physical activity (PA), and related guidelines. This study examined the congruency between youth food and PA environments and differences by region, rurality, and income across the United States. Food and PA environment data were obtained for all U.S. counties (N = 3142) using publicly available, secondary sources. Relationships between the food and PA environment tertiles was represented using five categories: 1) congruent-low (county falls in both the low food and PA tertiles), 2) congruent-high (county falls in both the high food and PA tertiles), 3) incongruent-food high/PA low (county falls in high food and low PA tertiles), 4) incongruent-food low/PA high (county falls in low food and high PA tertiles), and 5) intermediate food or PA (county falls in the intermediate tertile for food and/or PA). Results showed disparities in food and PA environment congruency according to region, rurality, and income (p < .0001 for each). Nearly 25% of counties had incongruent food and PA environments, with food high/PA low counties mostly in rural and low-income areas, and food low/PA high counties mostly in metropolitan and high-income areas. Approximately 8.7% of counties were considered congruent-high and were mostly located in the Northeast, metropolitan, and high-income areas. Congruent-low counties made up 10.0% of counties and were mostly in the South, rural, and low-income areas. National and regional disparities in environmental obesity determinants were identified that can inform targeted public health interventions.

Appetite Control across the Lifecourse: The Acute Impact of Breakfast Drink Quantity and Protein Content. The Full4Health Project

Understanding the mechanisms of hunger, satiety and how nutrients affect appetite control is important for successful weight management across the lifecourse. The primary aim of this study was to describe acute appetite control across the lifecourse, comparing age groups (children, adolescents, adults, elderly), weight categories, genders and European sites (Scotland and Greece). Participants (n = 391) consumed four test drinks, varying in composition (15% (normal protein, NP) and 30% (high protein, HP) of energy from protein) and quantity (based on 100% basal metabolic rate (BMR) and 140% BMR), on four separate days in a double-blind randomized controlled study. Ad libitum energy intake (EI), subjective appetite and biomarkers of appetite and metabolism (adults and elderly only) were measured. The adults' appetite was significantly greater than that of the elderly across all drink types (p < 0.004) and in response to drink quantities (p < 0.001). There were no significant differences in EI between age groups, weight categories, genders or sites. Concentrations of glucagon-like peptide 1 (GLP-1) and peptide YY (PYY) were significantly greater in the elderly than the adults (p < 0.001). Ghrelin and fasting leptin concentrations differed significantly between weight categories, genders and sites (p < 0.05), while GLP-1 and PYY concentrations differed significantly between genders only (p < 0.05). Compared to NP drinks, HP drinks significantly increased postprandial GLP-1 and PYY (p < 0.001). Advanced age was concomitant with reduced appetite and elevated anorectic hormone release, which may contribute to the development of malnutrition. In addition, appetite hormone concentrations differed between weight categories, genders and geographical locations.