For 1607 children (796 females, 811 males; 31% of the total cohort of 5107), the combination of polygenic risk and socioeconomic disadvantage significantly predicted overweight or obesity; the impact of disadvantage intensified as the polygenic risk increased. From a cohort of children with a polygenic risk score exceeding the median (n=805), 37% of those who experienced disadvantage between the ages of two and three years had an overweight or obese BMI by adolescence, in comparison to 26% who faced less disadvantage. Studies of causal factors in genetically susceptible children revealed that interventions in their local neighborhoods to reduce socioeconomic disadvantage (quintiles 1 and 2) might decrease the incidence of adolescent overweight or obesity by 23% (risk ratio 0.77, 95% confidence interval 0.57 to 1.04). Likewise, improvements in family environments were estimated to have a comparable effect (risk ratio 0.59, 95% confidence interval 0.43 to 0.80).
Strategies to combat socioeconomic inequalities could potentially decrease the probability of obesity resulting from a combination of genetic susceptibility. While the longitudinal data used in this study is representative of the population, a limiting factor is the smaller sample size.
Australia's National Health and Medical Research Council.
Australia's National Health and Medical Research Council.
With growth spurts and biological differences across subgroups in mind, the contribution of non-nutritive sweeteners to weight-related issues in children and adolescents is not yet definitive. Through a systematic review and meta-analysis, we sought to summarize the evidence regarding the relationship between experimental and habitual non-nutritive sweetener consumption and prospective BMI changes in pediatric groups.
Our review included randomized controlled trials (RCTs) of at least 4 weeks comparing non-nutritive sweeteners to non-caloric or caloric controls, evaluating their impact on BMI changes, and prospective cohort studies evaluating the multivariable-adjusted link between non-nutritive sweetener consumption and BMI in children (2 to 9 years) and adolescents (10 to 24 years). Pooled estimates were determined using a random-effects meta-analysis, and further secondary stratified analyses were carried out to investigate heterogeneity based on the features of the studies and subgroups. Biomass estimation We subsequently evaluated the quality of the incorporated evidence, classifying studies financed by the industry, or those having authors linked to the food industry, as potentially exhibiting conflicts of interest.
From a pool of 2789 results, we selected five randomized controlled trials, encompassing 1498 participants and a median follow-up period of 190 weeks (interquartile range 130-375); three of these trials (60%) presented potential conflicts of interest. We also incorporated eight prospective cohort studies, involving 35340 participants, and a median follow-up duration of 25 years (interquartile range 17-63); two of these cohort studies (25%) contained potential conflicts of interest. A lower BMI gain was observed in participants assigned to random intake levels of non-nutritive sweeteners (25-2400 mg/day, from food and beverages), showing a standardized mean difference of -0.42 kg/m^2.
The 95% confidence interval, situated between -0.79 and -0.06, strongly supports the observed trend.
The proportion of added sugar consumed is 89% lower than the sugar intake obtained from food and beverages. Significantly, stratified estimates were observed only amongst adolescents, participants with pre-existing obesity, those consuming a combination of non-nutritive sweeteners, trials of longer duration, and trials without identified potential conflicts of interest. No randomized controlled trials compared beverages with non-nutritive sweeteners to a control group drinking water. Prospective cohort studies indicated no statistically significant relationship between the consumption of non-nutritive sweetener-containing beverages and weight gain, as measured by BMI increase (0.05 kg/m^2).
We estimate, with 95% confidence, that the parameter is situated within the bounds of -0.002 and 0.012.
Adolescents, male participants, and those with longer observation periods presented a stronger correlation with the 355 mL daily serving, comprising 67% of the daily recommended amount. By eliminating studies potentially influenced by conflicts of interest, the estimates were reduced. In the majority of cases, the evidence's quality was determined to be in the low to moderate range.
Studies using randomized controlled trials examined the effects of non-nutritive sweeteners versus sugar intake on BMI in adolescents and people with obesity, finding less BMI gain with non-nutritive sweeteners. A superior approach to researching beverages with non-nutritive sweeteners, contrasting them directly with plain water, is vital. learn more Longitudinal studies employing repeated measures data could offer clarification on the link between non-nutritive sweetener intake and alterations in BMI during childhood and adolescence.
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The pervasive presence of childhood obesity has fueled the expansion of the global burden of chronic diseases across the lifespan, a problem strongly linked to obesogenic environments. In a bid to transform existing obesogenic environmental studies into actionable policies for the prevention of childhood obesity and the promotion of life-course health, this large-scale review was carried out.
In a systematic review of obesogenic environmental studies published since electronic databases began, researchers examined associations between childhood obesity and 16 environmental factors. These factors included 10 built environment indicators (land-use mix, street connectivity, residential density, speed limit, urban sprawl, access to green space, public transport, bike lanes, sidewalks, neighbourhood aesthetics), and 6 food environment indicators (convenience stores, supermarkets, grocery stores, full-service restaurants, fast-food restaurants, and fruit and vegetable markets). To quantify the influence of each factor on childhood obesity, a meta-analysis was performed, encompassing studies which were deemed adequate.
From a pool of 24155 search results, a selection of 457 studies underwent further analysis. Environmental factors, excluding speed limits and urban sprawl, inversely correlated with childhood obesity by promoting physical activity and discouraging sedentary lifestyles. Access to diverse food venues, excluding convenience stores and fast-food restaurants, similarly demonstrated an inverse relationship with childhood obesity through the promotion of healthy dietary choices. Globally consistent associations were observed, including a correlation between increased neighborhood fast-food restaurant availability and higher fast-food consumption, enhanced bike lane access and greater physical activity, improved sidewalk access and reduced sedentary behavior, and expanded green space access and increased physical activity, as well as decreased TV and computer screen time.
The findings have established an unprecedentedly inclusive framework for policy and the formulation of a future research agenda, focusing on obesogenic environments.
The National Natural Science Foundation of China, coupled with the Chengdu Technological Innovation R&D Project, the Sichuan Provincial Key R&D Program, and Wuhan University's Specific Fund for Major School-level Internationalization Initiatives, underscores a multifaceted approach to scientific advancements.
The Sichuan Provincial Key R&D Program, along with the National Natural Science Foundation of China's Chengdu Technological Innovation R&D Project, and Wuhan University's Specific Fund for Major School-level Internationalization Initiatives, are all important projects.
Mothers who follow a healthy lifestyle have been observed to have children who are at a lower risk of developing obesity. However, very little is known about how a generally healthy parental lifestyle might impact the development of obesity in children. Our study investigated the possible relationship between parental observance of multiple healthy lifestyle habits and the risk of obesity developing in their children.
Participants in the China Family Panel Studies, initially without obesity, were selected from April through September of 2010; from July 2012 through March 2013; and again from July 2014 to June 2015. Their participation continued under observation until the end of 2020. A parent's healthy lifestyle score, on a scale of 0-5, was composed of five modifiable lifestyle factors: tobacco use, alcohol consumption, physical activity, dietary habits, and body mass index. Age and sex-specific BMI thresholds were used to pinpoint the first occurrence of offspring obesity within the study follow-up period. medial geniculate Our analysis of the associations between parental healthy lifestyle scores and childhood obesity risk used multivariable-adjusted Cox proportional hazard models.
Our study encompassed 5881 participants, aged 6 to 15 years; the median duration of follow-up was 6 years, with an interquartile range of 4 to 8 years. Subsequent observation showed that 597 (102%) participants developed obesity during the follow-up period. Participants in the top tertile of parental healthy lifestyle scores had a 42% lower likelihood of obesity compared to those in the lowest tertile, as indicated by a multivariable-adjusted hazard ratio of 0.58 (95% confidence interval, 0.45-0.74). The association's significance was maintained in sensitivity analyses, exhibiting uniformity across distinct major subgroups. Lower risks of obesity in children were correlated with the healthy lifestyles of both parents, both maternal (HR 075 [95% CI 061-092]) and paternal (073 [060-089]). Paternal lifestyle factors, especially a diverse diet and healthy BMI, played a noteworthy role.
A healthier parental lifestyle was positively correlated with a considerably lower incidence of obesity in children during their childhood and adolescent years. This research points to the possibility of reducing obesity in children by emphasizing healthy living choices for parents.
Supported by two key grants: the Special Foundation for National Science and Technology Basic Research Program of China (grant reference 2019FY101002), and the National Natural Science Foundation of China (grant reference 42271433), the research proceeded.