scholarly journals Sustained Weight Loss and Improvements in Cardiometabolic Risk Factors in a Worksite-based Behavioral Program (FS18-04-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sai Krupa Das ◽  
Taylor Vail ◽  
Rachel Silver ◽  
Meghan Chin ◽  
Caroline Blanchard ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Body Fat ◽  
Cardiometabolic Risk ◽  
Controlled Trial ◽  
Intervention Group ◽  
Cardiometabolic Risk Factors ◽  
Control Group ◽  
Average Weight ◽  
Funding Sources

Abstract Objectives To evaluate the effectiveness of a novel low-burden behavioral intervention (BI) for weight loss on changes in body weight and cardiometabolic risk factors when implemented with or without meal replacements (MR). Methods Twelve worksites (≥300 employees each) in the Greater Boston area participated in a cluster-randomized controlled trial, with 8 worksites (n = 259 participants) allocated to the intervention group (IG) and 4 worksites (n = 76) to a wait-listed control group (CG). IG participants were further randomized to receive the BI, which emphasizes hunger and craving management via diet composition, for 18 months without or with MR (BI + MR). Weight and cardiometabolic variables were measured at baseline and 6 months for all groups, and also at 12 and 18 months in the IGs. Linear mixed models compared 6-month changes in % weight loss, body mass index (BMI), body fat, and cardiometabolic risk factors for all groups. Similar analyses were conducted for the BI and BI + MR groups at 12 and 18 months. Estimated means and standard deviations were calculated. Statistical models were adjusted for age, sex, baseline measurement, and worksite. Results The study population was 83% female. The Mean ± SD for age and BMI were 47.9 ± 10.4 years and 32.9 ± 5.5 kg/m2, respectively. At 6 months, average weight loss was 9.2 ± 7.2% for BI and 8.3 ± 7.0% for BI + MR. Weight loss was significantly greater in both IGs than the CG (both P < 0.001), but not significant between IGs (P = 0.35). Similar results were observed for BMI and % body fat (both P < 0.01). BI and BI + MR had significant reductions in glucose and triglycerides (P < 0.05) compared to the CG. Changes in total cholesterol and LDL were significantly greater in BI + MR compared to BI alone (P < 0.05). Clinically significant reductions in weight and cardiometabolic risk factors were sustained in the IGs at 12 and 18 months. Conclusions To our knowledge, weight loss in this study was greater than previous scalable worksite-based interventions. Weight loss did not significantly differ between the BI and BI + MR groups, and MR use was associated with additional reductions in total and LDL cholesterol. These results demonstrate the feasibility of novel approaches to achieve clinically impactful weight management in worksite settings. Funding Sources Nutrient Foods LLC.

scholarly journals Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial

2021 ◽  
Vol 7 ◽  
pp. 205520762110390
Author(s):  
Shruti Muralidharan ◽  
Harish Ranjani ◽  
Ranjit Mohan Anjana ◽  
Yashdeep Gupta ◽  
Samita Ambekar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mobile Health ◽  
Cardiometabolic Risk ◽  
Reality Television ◽  
Controlled Trial ◽  
Intervention Group ◽  
Cardiometabolic Risk Factors ◽  
Control Group ◽  
Cardiometabolic Disorders ◽  
Diabetes Intervention

Objective India is experiencing an increasing prevalence of type 2 diabetes and cardiovascular diseases. Mobile health technology may be a strategy to reduce the risk of cardiometabolic disorders. This paper reports on the effect of a mobile health intervention on cardiometabolic risk factors. Methods The mobile health and diabetes intervention was a 12-week reality television-based mobile health program application delivered via videos, short message service and infographics through a smartphone application followed-up weekly by health coach calls. mobile health and diabetes was conducted in a randomized control trial mode randomized controlled trial methodology in three Indian cities (Chennai, Bengaluru and New Delhi) with participants recruited via community screening events. This paper looks at the pre–post changes in cardiometabolic risks among the participants and the place of demography in influencing these. Results The mobile health and diabetes intervention group experienced a small reduction in waist circumference (1.8 cm) compared to the control group (0.5 cm, p < 0.05) and a greater decrease in systolic blood pressure (2.7 mmHg) compared to the control group ( p < 0.05). The improvements in cardiometabolic risk factors were more pronounced in individuals with obesity, although overall effects were very modest Conclusions Cardiometabolic risk factors can be reduced with a mobile health application using human coaching, especially in obese individuals, but the improvements are small. To be more effective and clinically meaningful, intensive engagement with the participants is probably required.

scholarly journals Randomized Control Trial for Reduction of Body Weight, Body Fat Patterning, and Cardiometabolic Risk Factors in Overweight Worksite Employees in Delhi, India

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Usha Shrivastava ◽  
Mahrukh Fatma ◽  
Smriti Mohan ◽  
Padam Singh ◽  
Anoop Misra
Keyword(s):  
Risk Factors ◽  
Body Weight ◽  
Cardiometabolic Risk ◽  
Subcutaneous Fat ◽  
Intervention Group ◽  
Cardiometabolic Risk Factors ◽  
Control Group ◽  
Serum Triglycerides ◽  
Active Intervention ◽  
The Impact

Background. We studied the impact of the multicomponent interventions on body weight and cardiometabolic risk factors in overweight individuals working in corporate worksites.Methods. Overweight (BMI ≥ 23 kg/m2) subjects were recruited from four randomised worksites [two active intervention (n, recruited, 180, completed 156) and two control (n, recruited 130, completed 111)]. Intensive intervention was given at intervention worksite.Results. High prevalence (%) of obesity (90.9, 80.2), abdominal obesity (93.5, 84.3), excess skinfold thickness (70.3, 75.9), and low high-density lipoprotein cholesterol (HDL-c) levels (56.8, 63.7) were seen in the intervention and the control group, respectively. At the end of intervention, the following significant changes were observed in the intervention group: decrease in weight, BMI, waist circumference, serum triglycerides, and increase in HDL-c. Weight loss of more than 5% was seen in 12% and 4% individuals in the intervention and control groups, respectively. Most importantly, the sum of all the skinfold measurements (mm) in the intervention group decreased significantly more than the control group (12.51 ± 10.38 versus 3.50 ± 8.18, resp.).Conclusion. This multicomponent worksite trial showed a reduction in weight, excess subcutaneous fat, and cardiometabolic risk factors after 6 months of active intervention in overweight Asian Indians.Trial Registration. This trial is registered withNCT03249610.

scholarly journals Sex differences in the associations between adiposity distribution and cardiometabolic risk factors in overweight or obese individuals: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yide Yang ◽  
Ming Xie ◽  
Shuqian Yuan ◽  
Yuan Zeng ◽  
Yanhui Dong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sex Differences ◽  
Body Fat ◽  
Regression Models ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Whole Body ◽  
Anthropometric Measurement ◽  
Cardiometabolic Health ◽  
Lower Odds

Abstract Background We aimed to assess the associations between adiposity distribution and cardiometabolic risk factors among overweight and obese adults in China, and to demonstrate the sex differences in these associations. Methods A total of 1221 participants (455 males and 766 females) were included in this study. Percentage of body fat (PBF) of the whole body and regional areas, including arm, thigh, trunk, android, and gynoid, were measured by the dual-energy X-ray absorptiometry method. Central adiposity was measured by waist circumference. Clustered cardiometabolic risk was defined as the presence of two or more of the six cardiometabolic risk factors, namely, high triglyceride, low high density lipoprotein, elevated glucose, elevated blood pressure, elevated high sensitivity C-reactive protein, and low adiponectin. Linear regression models and multivariate logistic regression models were used to assess the associations between whole body or regional PBF and cardiometabolic risk factors. Results In females, except arm adiposity, other regional fat (thigh, trunk, android, gynoid) and whole-body PBF are significantly associated with clustered cardiometabolic risk, adjusting for age, smoking, alcohol drinking, physical activity, and whole-body PBF. One-SD increase in Z scores of the thigh and gynoid PBF were significantly associated with 80 and 78% lower odds of clustered cardiometabolic risk (OR: 0.20, 95%CI: 0.12–0.35 and OR: 0.22, 95%CI: 0.12–0.41). Trunk, android and whole-body PBF were significantly associated with higher odds of clustered risk with OR of 1.90 (95%CI:1.02–3.55), 2.91 (95%CI: 1.75–4.85), and 2.01 (95%CI: 1.47–2.76), respectively. While in males, one-SD increase in the thigh and gynoid PBF are associated with 94% (OR: 0.06, 95%CI: 0.02–0.23) and 83% lower odds (OR: 0.17, 95%CI: 0.05–0.57) of clustered cardiometabolic risk, respectively. Android and whole-body PBF were associated with higher odds of clustered cardiometabolic risk (OR: 3.39, 95%CI: 1.42–8.09 and OR: 2.45, 95%CI: 1.53–3.92), but the association for trunk PBF was not statistically significant (OR: 1.16, 95%CI: 0.42–3.19). Conclusions Adiposity distribution plays an important role in the clustered cardiometabolic risk in participants with overweight and obese and sex differences were observed in these associations. In general, central obesity (measured by android PBF) could be the best anthropometric measurement for screening people at risk for CVD risk factors for both men and women. Upper body fat tends to be more detrimental to cardiometabolic health in women than in men, whereas lower body fat is relatively more protective in men than in women.

scholarly journals Long-Term Effect of Interactive Online Dietician Weight Loss Advice in General Practice (LIVA) Protocol for a Randomized Controlled Trial

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Carl J. Brandt ◽  
Vibeke Brandt ◽  
Mathilde Pedersen ◽  
Dorte Glintborg ◽  
Søren Toubro ◽  
...  
Keyword(s):  
Weight Loss ◽  
General Practice ◽  
Large Scale ◽  
Controlled Trial ◽  
Complex Interventions ◽  
Control Group ◽  
Average Weight ◽  
Practice Setting ◽  
Management Support ◽  
General Practice Setting

Background. Internet-based complex interventions aiming to promote weight loss and optimize healthy behaviors have attracted much attention. However, evidence for effect is lacking. Obesity is a growing problem, resulting in an increasing demand for cost efficient weight loss programs suitable for use on a large scale, for example, as part of standard primary care. In a previous pilot project by Brandt et al. (2011) without a control group, we examined the effects of online dietician counseling and found an average weight loss of 7.0 kg (95% CI: 4.6 to 9.3 kg) after 20 months. Aims and Methods. To analyze the effects of a complex intervention using trained dieticians in a general practice setting combined with internet-based interactive and personalized weight management support compared with conventional advice with a noninteractive internet support as placebo treatment in 340 overweight patients during a 2-year period. Primary endpoints are weight loss and lowering of cholesterol (LDL). We will also explore patients’ sociodemographics and use of the intervention as well as the health professionals’ views and perceptions of the intervention (their role and the advice and support that they provide). Perspective. The project will generate knowledge on the cost-effectiveness of a complex internet-based intervention in a general practice setting and on barriers and acceptability among professionals and patients.

scholarly journals Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Jingxin Liu ◽  
Lin Zhu ◽  
Jing Liao ◽  
Xiaoguang Liu
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Weight Loss ◽  
Body Composition ◽  
Organic Acids ◽  
Cardiometabolic Risk ◽  
The Body ◽  
Cardiometabolic Risk Factors ◽  
Plasma Metabolites ◽  
Cardiometabolic Health

Objectives: To evaluate the effect of extreme weight loss programs on circulating metabolites and their relationship with cardiometabolic health in children with metabolic syndrome.Methods: This study was a quasi-experimental design with a pretest and post-test. Thirty children with metabolic syndrome and aged 10–17years were recruited to an extreme weight loss program (i.e., exercise combined with diet control). The primary outcomes included plasma metabolites, body composition, and cardiometabolic risk factors. A total of 324 metabolites were quantitatively detected by an ultra-performance liquid chromatography coupled to tandem mass spectrometry system, and the variable importance in the projection (VIP) value of each metabolite was calculated by the orthogonal projection to latent structures discriminant analysis. The fold change (FC) and p value of each metabolite were used to screen differential metabolites with the following values: VIP&gt;1, p value&lt;0.05, and |log2FC|&gt;0.25. Pathway enrichment and correlation analyses between metabolites and cardiometabolic risk factors were also performed.Result: A large effect size was observed, presenting a weight loss of −8.9kg (Cohen’s d=1.00, p&lt;0.001), body mass index reduction of −3.3kg/m2 (Cohen’s d=1.47, p&lt;0.001), and body fat percent reduction of −4.1 (%) (Cohen’s d=1.22, p&lt;0.001) after the intervention. Similar improvements were found in total cholesterol (Cohen’s d=2.65, p&lt;0.001), triglycerides (Cohen’s d=2.59, p&lt;0.001), low-density lipoprotein cholesterol (Cohen’s d=2.81, p&lt;0.001), glucose metabolism, and blood pressure. A total of 59 metabolites were changed after the intervention (e.g., aminoacyl-tRNA biosynthesis, glycine, serine, and threonine metabolism; nitrogen metabolism, tricarboxylic acid cycle, and phenylalanine, tyrosine, and tryptophan biosynthesis). The changes in metabolites (e.g., amino acids, fatty acids, organic acids, and carnitine) were related to lipid metabolism improvement (p&lt;0.05). Organic acids and carnitines were associated with changes in the body composition (p&lt;0.05).Conclusion: Exercise combined with dietary control improved the body composition and cardiometabolic health in children with metabolic syndrome, and these changes may be related to plasma metabolites.

Sign in / Sign up

Export Citation Format

Share Document