-
Progress in Cardiovascular Diseases 2016Obesity has reached epidemic proportions in most of the Westernized world. Overweightness and obesity adversely impact cardiac structure and function, including on both... (Review)
Review
Obesity has reached epidemic proportions in most of the Westernized world. Overweightness and obesity adversely impact cardiac structure and function, including on both the right and, especially, left sides of the heart, with adverse affects on systolic and, especially, diastolic ventricular function. Therefore, it is not surprising that obesity markedly increases the prevalence of heart failure (HF). Nevertheless, many studies have documented an obesity paradox in large cohorts with HF, where overweight and obese have a better prognosis, at least in the short-term, compared with lean HF patients. Although weight loss clearly improves cardiac structure and function and reduces symptoms in HF, there are no large studies on the impact of weight loss on clinical events in HF, preventing definitive guidelines on optimal body composition in patients with HF.
Topics: Body Mass Index; Heart Failure; Hemodynamics; Humans; Kaplan-Meier Estimate; Obesity; Overweight; Prognosis; Risk Assessment; Risk Factors; Ventricular Dysfunction, Left
PubMed: 26721180
DOI: 10.1016/j.pcad.2015.12.003 -
BMC Public Health Aug 2023Multi-component psychological interventions may mitigate overweight and obesity in children and adolescents. Evidence is, however, scattered on the effectiveness of such... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Multi-component psychological interventions may mitigate overweight and obesity in children and adolescents. Evidence is, however, scattered on the effectiveness of such interventions. This study aims to review the available evidence on the effectiveness of multi-component psychological interventions on anthropometric measures of school-aged children with overweight or obesity.
METHODS
We systematically searched international databases/search engines including PubMed and NLM Gateway (for MEDLINE), Web of Science, SCOPUS, and Google Scholar up to November 2022 for relevant articles pertaining to psychological weight-loss interventions targeting school-aged children. Two reviewers screened and extracted pertinent data. The quality of included studies was assessed using the Cochrane Risk of Bias Tool for Randomized Trials. Random effect meta-analysis was used to calculate, and pool standardized mean differences (SMD). We distinguished between intervention and maintenance effects. Intervention effects were defined as the mean change in outcome measurement detected between baseline and post-treatment. Maintenance effects were defined as the mean change in outcome measurement between post-treatment and last follow-up.
RESULTS
Of 3,196 studies initially identified, 54 and 30 studies were included in the qualitative and quantitative syntheses, respectively. Most studies reported on group-based interventions. The significant effects of intervention on BMI z-score (SMD -0.66, 95% CI: -1.15, -0.17) and WC (SMD -0.53, 95% CI: -1.03, -0.04) were observed for interventions that centered on motivational interviewing and cognitive behavioral therapy, respectively. Mean BMI and WC did not differ significantly between post-treatment and last follow-up measurement (maintenance effect), indicating that an initial weight loss obtained through the intervention period could be maintained over time.
CONCLUSIONS
Findings indicate that motivational interviewing and cognitive behavioral therapy as interventions to reduce BMI z-score (generalized obesity) and waist circumference (abdominal obesity) are effective and durable. However, detailed analyses on individual components of the interventions are recommended in future effectiveness studies.
Topics: Adolescent; Child; Humans; Pediatric Obesity; Overweight; Psychosocial Intervention; Cognitive Behavioral Therapy; Schools
PubMed: 37537523
DOI: 10.1186/s12889-023-16339-7 -
International Journal of Obesity (2005) Mar 2024Mental disorders are important comorbidities in youth with obesity. Aim was to describe the clinical characteristics and outcome of youth with overweight or obesity...
BACKGROUND
Mental disorders are important comorbidities in youth with obesity. Aim was to describe the clinical characteristics and outcome of youth with overweight or obesity having comorbid mental disorders.
METHODS
Data from children, adolescents, and young adults (age 6-30 years) with overweight or obesity and mental disorders (depression, anxiety disorder, eating disorder, attention deficit disorder (ADHD)) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry (APV) were analyzed and compared with those without reported mental disorders using regression modeling.
RESULTS
Mental health comorbidity was reported in a total of 3969 out of 114,248 individuals with overweight or obesity: 42.5% had ADHD, 31.3% anxiety disorders, 24.3% depression, and 12.9% eating disorders. Being male (OR 1.39 (95%CI 1.27;1.52)), of older age (1.42 (1.25;1.62)), or with extreme obesity (1.45 (1.30;1.63)) were most strongly associated with mental health comorbidity. Regression analysis showed that mean BMI-SDS was significantly higher in the group of individuals with depression and eating disorders (BMI-SDS 2.13 (lower; upper mean:2.09;2.16) and 2.22 (2.17;2.26)) compared to those without reported mental health comorbidity (BMI-SDS 2.008 (2.005;2.011); p < 0.001). In youth with ADHD, BMI-SDS was lower compared to those without reported mental disorders (BMI-SDS 1.91 (1.89;1.93) vs 2.008 (2.005;2.011); p < 0.001). Proportion of severe obesity was higher in individuals with depression (23.7%), anxiety disorders (17.8%), and eating disorders (33.3%), but lower in ADHD (10.3%), compared to those without reported mental disorders (13.5%, p < 0.002). Proportions of dyslipidaemia and abnormal carbohydrate metabolism were not different in youth with and without reported mental health comorbidity. BMI-SDS change after one year of lifestyle intervention program ranged between -0.22 and -0.16 and was similar in youth without and with different mental disorders.
CONCLUSION
Health care professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders and regular mental health screening should be considered.
Topics: Child; Humans; Male; Adolescent; Young Adult; Adult; Female; Overweight; Mental Health; Obesity; Attention Deficit Disorder with Hyperactivity; Comorbidity; Obesity, Morbid
PubMed: 38195831
DOI: 10.1038/s41366-023-01449-4 -
Public Health Nutrition Aug 2023To aid the design of nutrition interventions in low- and middle-income countries undergoing a nutrition transition, this study examined behavioural and environmental...
OBJECTIVES
To aid the design of nutrition interventions in low- and middle-income countries undergoing a nutrition transition, this study examined behavioural and environmental risk factors associated with childhood overweight and obesity in urban Indonesia.
DESIGN
Body height and weight of children were measured to determine BMI-for-age Z-scores and childhood overweight and obesity status. A self-administered parental survey measured socio-economic background, children's diet, physical activity, screen time and parental practices. Logistic and quantile regression models were used to assess the association between risk factors and the BMI-for-age Z-score distribution.
SETTING
Public primary schools in Central Jakarta, sampled at random.
PARTICIPANTS
Children ( 1674) aged 6-13 years from 18 public primary schools.
RESULTS
Among the children, 31·0 % were overweight or obese. The prevalence of obesity was higher in boys (21·0 %) than in girls (12·0 %). Male sex and height (aOR = 1·67; 95 % CI 1·30, 2·14 and aOR = 1·16; 95 % CI 1·14, 1·18, respectively) increased the odds of being overweight or obese, while the odds reduced with every year of age (aOR = 0·43; 95 % CI 0·37, 0·50). Maternal education was positively associated with children's BMI at the median of the Z-score distribution ( = 0·026). Dietary and physical activity risk scores were not associated with children's BMI at any quantile. The obesogenic home food environment score was significantly and positively associated with the BMI-for-age Z-score at the 75th and 90th percentiles ( = 0·022 and 0·023, respectively).
CONCLUSIONS
This study illustrated the demographic, behavioural and environmental risk factors for overweight and obesity among primary schoolchildren in a middle-income country. To foster healthy behaviours in primary schoolchildren, parents need to ensure a positive home food environment. Future sex-responsive interventions should involve both parents and children, promote healthy diets and physical activity and improve food environments in homes and schools.
Topics: Child; Female; Male; Humans; Overweight; Pediatric Obesity; Indonesia; Body Mass Index; Risk Factors
PubMed: 37138496
DOI: 10.1017/S1368980023000897 -
International Journal of Health... Aug 2023Cardiovascular disease (CVD) is increasing in Sub-Saharan Africa (SSA). Overweight/obesity and tobacco use are modifiable CVD risk factors, however literature about the...
BACKGROUND
Cardiovascular disease (CVD) is increasing in Sub-Saharan Africa (SSA). Overweight/obesity and tobacco use are modifiable CVD risk factors, however literature about the spatiotemporal dynamics of these risk factors in the region at subnational or local scales is lacking. We describe the spatiotemporal trends of overweight/obesity and tobacco use at subnational levels over a 13-year period (2003 to 2016) in five East African nations.
METHODS
Cross-sectional, nationally representative Demographic and Health Surveys (DHS) were used to explore the subnational spatiotemporal patterns of overweight/obesity and tobacco use in Burundi, Kenya, Rwanda, Tanzania, and Uganda, five East African Community (EAC) nations with unique cultural landscapes influencing CVD risk factors. Adaptive kernel density estimation and logistic regression were used to determine the spatial distribution and change over time of CVD risk factors on a subnational and subpopulation (rural/urban) scale.
RESULTS
Subnational analysis shows that regional and national level analysis masks important trends in CVD risk factor prevalence. Overweight/obesity and tobacco use trends were not similar: overweight/obesity prevalence increased across most nations included in the study and the inverse was true for tobacco use prevalence. Urban populations in each nation were more likely to be overweight/obese than rural populations, but the magnitude of difference varied widely between nations. Spatial analysis revealed that although the prevalence of overweight/obesity increased over time in both urban and rural populations, the rate of change differed between urban and rural areas. Rural populations were more likely to use tobacco than urban populations, though the likelihood of use varied substantially between nations. Additionally, spatial analysis showed that tobacco use was not evenly distributed across the landscape: tobacco use increased in and around major cities and urban centers but declined in rural areas.
CONCLUSIONS
We highlight the importance of de-homogenizing CVD risk factor research in SSA. Studies of national or regional prevalence trends mask important information about subpopulation and place-specific behavior and drivers of risk factor prevalence. Spatially explicit studies should be considered as a vital tool to understand local drivers of health, disease, and associated risk factor trends, especially in highly diverse yet low-resourced, marginalized, and often homogenized regions.
Topics: Humans; Overweight; Cardiovascular Diseases; Cross-Sectional Studies; Obesity; Risk Factors; Tanzania
PubMed: 37620831
DOI: 10.1186/s12942-023-00342-7 -
Preventing Chronic Disease Apr 2018Overweight and obesity are associated with increased rates of chronic disease and death globally. In Kenya, the prevalence of overweight and obesity among women is high...
INTRODUCTION
Overweight and obesity are associated with increased rates of chronic disease and death globally. In Kenya, the prevalence of overweight and obesity among women is high and may be growing. This study aimed to determine the national prevalence and predictors of overweight and obesity among women in Kenya.
METHODS
We used cross-sectional data from the 2014 Kenya Demographic and Health Survey (KDHS). Data on body mass index for 13,048 women (aged 15-49 y) were analyzed by using multivariable logistic regression models. Overweight and obesity were classified by using World Health Organization categories (normal weight, 18.5 to <24.9; overweight, 25.0 to <29.9; and obese, ≥30.0).
RESULTS
The prevalence of overweight was 20.5%, and the prevalence of obesity, 9.1%. Women aged 35 to 44 (odds ratio [OR] = 3.14; 95% confidence interval [CI], 2.58-3.81), with more than a secondary education (OR = 1.43; 95% CI, 1.05-1.95), married or living with a partner (OR = 1.73; 95% CI, 1.42-2.08), not working (OR = 1.27; 95% CI, 1.10-1.48), in the richest category (OR = 6.50; 95% CI, 5.08-8.30), and who used hormonal contraception (OR = 1.24; 95% CI, 1.07-1.43) were significantly more likely to be overweight or obese.
CONCLUSION
A high proportion of women in Kenya are overweight or obese. Our study indicates that women from urban areas and women with high socioeconomic status make up the largest proportion of women who are overweight or obese. Targeted and tailored studies and interventions are needed to identify evidence-based obesity prevention strategies for high-risk women in Kenya.
Topics: Adolescent; Adult; Female; Humans; Kenya; Middle Aged; Obesity; Overweight; Prevalence; Young Adult
PubMed: 29679481
DOI: 10.5888/pcd15.170401 -
International Journal of Environmental... Apr 2022A systematic review and meta-analysis is conducted to compare the effects of high-intensity interval training (HIIT) combined with fasting (HIIT + fasting) and other... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVES
A systematic review and meta-analysis is conducted to compare the effects of high-intensity interval training (HIIT) combined with fasting (HIIT + fasting) and other interventions (HIIT alone, fasting alone, or normal intervention) in adults with overweight and obesity on body composition (body mass, body mass index (BMI), waist circumference (WC), percent fat mass (PFM), fat mass (FM), fat-free mass (FFM)), maximal oxygen uptake (VO), and glucose metabolism (fasting plasma glucose (FPG)), fasting plasma insulin (FPI)).
METHODS
The databases of PubMed, the Cochrane Library, Embace, Web of Science, CNKI, Wangfang Data, and CBM were searched from their inception to February 2022. Randomized controlled trials comparing the effects of HIIT + fasting and other interventions on adults with overweight and obesity were included in this meta-analysis. The risk of bias was assessed by the Cochrane risk of bias tool. The effect size was completed by using mean difference (MD) and standard deviation. If there were varying units or large differences among the included studies, the standardized mean difference (SMD) would be used. The certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE).
RESULTS
Nine randomized controlled trials with 230 overweight and obese adults were conducted in accordance with our inclusion criteria. The results of the meta-analysis revealed that compared to the control group HIIT + fasting had better effects on the body mass, WC, FM, and VO, while there were no significant differences in PFM, FFM, FPG, and FPI.
CONCLUSIONS
Despite the number of included trials being small and the GRADE of all outcomes being very low, HIIT + fasting has a positive effect on the body composition of overweight and obese adults, and significantly improves VO. For adults with overweight and obesity who have long-term comorbidity, HIIT + fasting was a better way to improve FPG than HIIT alone or fasting alone. More studies are required to investigate different combinations of HIIT + fasting; and the safety of HIIT + fasting intervention on overweight and obese adults.
Topics: Adult; Fasting; High-Intensity Interval Training; Humans; Obesity; Overweight; Randomized Controlled Trials as Topic; Waist Circumference
PubMed: 35457507
DOI: 10.3390/ijerph19084638 -
Obesity (Silver Spring, Md.) Jul 2018The objective of this study is to critically review the literature on early life stress in relation to obesity in humans, including the multiple biological and... (Review)
Review
OBJECTIVE
The objective of this study is to critically review the literature on early life stress in relation to obesity in humans, including the multiple biological and behavioral mechanisms through which early life stress exposure (birth to the age of 5 years) may associate with obesity risk during childhood.
METHODS
A review of the literature was conducted to identify studies on associations between early childhood stress and risk for obesity and the mechanisms of association. Multiple databases (PubMed, PsycInfo, Google Scholar) were used in the search as well as a "snowball" search strategy. All study designs were included.
RESULTS
Early life stress and adverse childhood experiences are associated with obesity and overweight in adults. Evidence is less consistent in children. Studies vary in the nature of the stress examined (e.g., chronic vs. acute), sample characteristics, and study designs. Longitudinal studies are needed, as the effects of early life stress exposure may not emerge until later in the life-span. Early life stress exposure is associated with biological and behavioral pathways that may increase risk for childhood obesity.
CONCLUSIONS
There is evidence that early life stress is associated with multiple biological and behavioral pathways in children that may increase risk for later obesity. Little work has detailed the interconnections among these mechanisms across development or identified potential moderators of the association. Mapping the mechanisms connecting early life stress exposure to obesity risk in young children longitudinally should be a priority for obesity researchers. Recommendations for developmentally sensitive approaches to research that can inform obesity prevention strategies are presented.
Topics: Adult; Child; Child, Preschool; Humans; Infant; Infant, Newborn; Longitudinal Studies; Overweight; Pediatric Obesity; Risk Factors; Signal Transduction; Stress, Psychological
PubMed: 29656595
DOI: 10.1002/oby.22155 -
BMC Pediatrics Apr 2022The timing of adiposity peak (AP) or adiposity rebound (AR) is a determinant of overweight or obesity in adolescence and adulthood. However, limited studies have...
BACKGROUND
The timing of adiposity peak (AP) or adiposity rebound (AR) is a determinant of overweight or obesity in adolescence and adulthood. However, limited studies have reported the association in young school-age children. We aimed to evaluate this association and explore the role of health behaviours in it.
METHODS
Routinely collected, sequential, anthropometric data from the 1st to 80th months of age were used to estimate AP and AR timings in 2330 children born in Shanghai between 2010 and 2013. Multivariate regression analyses were applied to identify the associations between the AP or AR timings and the risk of developing overweight or obesity in first-grade school children. The roles of health behaviours, including dietary patterns, physical activity level, sleep and snacking habits, and screen time, were also evaluated.
RESULTS
Children with a late AP or an early AR were at higher risk of overweight but not obesity or central obesity in their first grade. A high physical activity level was associated with a lower risk of having overweight in children with a late AP, and limited screen time was associated with a decreased risk of having overweight or obesity in children with an early AR. The absence of a late-night snacking habit in children with a non-early AR indicated a decreased risk of having overweight. However, this association was not observed among children with an early AR.
CONCLUSION
The timings of AP and AR are tied to overweight in middle childhood. Prevention strategies are suggested to move forward to control late AP and early AR.
Topics: Adiposity; Adolescent; Adult; Body Mass Index; Child; China; Female; Humans; Longitudinal Studies; Overweight; Pediatric Obesity
PubMed: 35439975
DOI: 10.1186/s12887-022-03190-9 -
Obesity Facts 2023Several studies indicate an association between mental disorders and overweight or obesity. E-Mental health interventions offer an effective way to overcome barriers to...
INTRODUCTION
Several studies indicate an association between mental disorders and overweight or obesity. E-Mental health interventions offer an effective way to overcome barriers to health care access for individuals with overweight and obesity. The objective of this study was to examine the needs and demands for e-mental health interventions among individuals with overweight and obesity.
METHODS
A cross-sectional study was conducted from 2020 to 2021 in Germany. A total of 643 participants were recruited through specialized social media platforms and the Alfried-Krupp hospital in Essen, Germany. Sociodemographic and medical data were analysed, as well as data on depressive symptoms and on the needs and demands for e-mental health interventions.
RESULTS
Contact with and recommendation by experts appear to be key aspects in the acceptance and use of e-mental health interventions. In summary, most participants preferred a 20-30-min weekly session via smartphone over a 4-month period. The highest preference in terms of features included practicing coping skills and being provided with information; in regard to desired topics, nutrition consultation, quality of life, and adapting to new life situations were considered most important.
DISCUSSION
e-Mental health interventions can be highly beneficial for individuals, especially when developed through a user-centred design approach. The results of the study indicate which content and design are preferred and, thereby, provide valuable information for consideration when developing a tailored e-mental health intervention.
Topics: Humans; Overweight; Mental Health; Quality of Life; Cross-Sectional Studies; Obesity
PubMed: 36442465
DOI: 10.1159/000527914