Ahmed Jérôme Romain

Effects of Lifestyle Interventions That Include a Physical Activity Component in Class II and III Obese Individuals: A Systematic Review and Meta-Analysis

Background In class II and III obese individuals, lifestyle intervention is the first step to achieve weight loss and treat obesity-related comorbidities before considering bariatric surgery. A systematic review, meta-analysis, and meta-regression were performed to assess the impact of lifestyle interventions incorporating a physical activity (PA) component on health outcomes of class II and III obese individuals. Methods An electronic search was conducted in 4 databases (Medline, Scopus, CINAHL and Sportdiscus). Two independent investigators selected original studies assessing the impact of lifestyle interventions with PA components on anthropometric parameters, cardiometabolic risk factors (fat mass, blood pressure, lipid and glucose metabolism), behaviour modification (PA and nutritional changes), and quality of life in adults with body mass index (BMI) ≥ 35 kg/m2. Estimates were pooled using a random-effect model (DerSimonian and Laird method). Heterogeneity between studies was assessed by the Cochran’s chi-square test and quantified through an estimation of the I ². Results Of the 3,170 identified articles, 56 met our eligibility criteria, with a large majority of uncontrolled studies (80%). The meta-analysis based on uncontrolled studies showed significant heterogeneity among all included studies. The pooled mean difference in weight loss was 8.9 kg (95% CI, 10.2–7.7; p < 0.01) and 2.8 kg/m² in BMI loss (95% CI, 3.4–2.2; p < 0.01). Long-term interventions produced superior weight loss (11.3 kg) compared to short-term (7.2 kg) and intermediate-term (8.0 kg) interventions. A significant global effect of lifestyle intervention on fat mass, waist circumference, blood pressure, total cholesterol, LDL-C, triglycerides and fasting insulin was found (p<0.01), without significant effect on HDL-C and fasting blood glucose. Conclusions Lifestyle interventions incorporating a PA component can improve weight and various cardiometabolic risk factors in class II and III obese individuals. However, further high quality trials are needed to confirm this evidence, especially beyond weight loss.

The adoption of physical activity and eating behaviors among persons with obesity and in the general population: the role of implicit attitudes within the Theory of Planned Behavior

Abstract Obesity can be prevented by the combined adoption of a regular physical activity (PA) and healthy eating behaviors (EB). Researchers mainly focused on socio-cognitive models, such as the Theory of Planned Behavior (TPB), to identify the psychological antecedents of these behaviors. However, few studies were interested in testing the potential contribution of automatic processes in the prediction of PA and EB. Thus, the main objective of this study was to explore the specific role of implicit attitudes in the pattern of prediction of self-reported PA and EB in the TPB framework, among persons with obesity and in adults from the general population. One hundred and fifty-three adults participated to this cross-sectional study among which 59 obese persons (74% women, age: 50.6 ± 12.3 years, BMI: 36.8 ± 4.03 kg m–²) and 94 people from the general population (51% women; age: 34.7 ± 8.9 years). Implicit attitudes toward PA and EB were estimated through two Implicit Association Tests. TPB variables, PA and EB were assessed by questionnaire. Regarding to the prediction of PA, a significant contribution of implicit attitudes emerged in obese people, β = .25; 95%[CI: .01, .50]; P = .044, beyond the TPB variables, contrary to participants from the general population. The present study suggests that implicit attitudes play a specific role among persons with obesity regarding PA. Other studies are needed to examine which kind of psychological processes are specifically associated with PA and EB among obese people.

Measuring the Processes of Change From the Transtheoretical Model for Physical Activity and Exercise in Overweight and Obese Adults.

Purpose: This study aimed to test three factorial structures conceptualizing the processes of change (POC) from the transtheoretical model and to examine the relationships between the POC and stages of change (SOC) among overweight and obese adults. Design: Cross-sectional study. Setting: This study was conducted at the University Hospital of Montpellier, France. Subjects: A sample of 289 overweight or obese participants (199 women) was enrolled in the study. Measures: Participants completed the POC and SOC questionnaires during a 5-day hospitalization for weight management. Analysis: Structural equation modeling was used to compare the different factorial structures. Results: The unweighted least-squares method was used to identify the best-fit indices for the five fully correlated model (goodness-of-fit statistic = .96; adjusted goodness-of-fit statistic = .95; standardized root mean residual = .062; normed-fit index = .95; parsimonious normed-fit index = .83; parsimonious goodness-of-fit statistic = .78). The multivariate analysis of variance was significant (p < .001). A post hoc test showed that individuals in advanced SOC used more of both experiential and behavioral POC than those in preaction stages, with effect sizes ranging from .06 to .29. Conclusion: This study supports the validity of the factorial structure of POC concerning physical activity and confirms the assumption that, in this context, people with excess weight use both experiential and behavioral processes. These preliminary results should be confirmed in a longitudinal study.

Prediction of Physical Activity Level Using Processes of Change From the Transtheoretical Model: Experiential, Behavioral, or an Interaction Effect?:

Purpose: The purpose of the present study was to compare prediction of physical activity (PA) by experiential or behavioral processes of change (POCs) or an interaction between both types of processes. Design: A cross-sectional study. Setting: This study was conducted using an online questionnaire. Participants: A total of 394 participants (244 women, 150 men), with a mean age of 35.12 ± 12.04 years and a mean body mass index of 22.97 ± 4.25 kg/m2 were included. Measures: Participants completed the Processes of Change, Stages of Change questionnaires, and the International Physical Activity Questionnaire to evaluate self-reported PA level (total, vigorous, and moderate PA). Analysis: Hierarchical multiple regression models were used to test the prediction of PA level. Results: For both total PA (β = .261; P < .001) and vigorous PA (β = .297; P < .001), only behavioral POCs were a significant predictor. Regarding moderate PA, only the interaction between experiential and behavioral POCs was a significant predictor (β = .123; P = .017). Conclusion: Our results provide confirmation that behavioral processes are most prominent in PA behavior. Nevertheless, it is of interest to note that the interaction between experiential and behavioral POCs was the only element predicting moderate PA level. Experiential processes were not associated with PA level.

Moderators of Theory-Based Interventions to Promote Physical Activity in 77 Randomized Controlled Trials

A meta-analysis of randomized controlled trials (RCTs) has recently showed that theory-based interventions designed to promote physical activity (PA) significantly increased PA behavior. The objective of the present study was to investigate the moderators of the efficacy of these theory-based interventions. Seventy-seven RCTs evaluating theory-based interventions were systematically identified. Sample, intervention, methodology, and theory implementation characteristics were extracted, coded by three duos of independent investigators, and tested as moderators of interventions effect in a multiple–meta-regression model. Three moderators were negatively associated with the efficacy of theory-based interventions on PA behavior: intervention length (≥14 weeks; β = −.22, p = .004), number of experimental patients (β = −.10, p = .002), and global methodological quality score (β = −.08, p = .04). Our findings suggest that the efficacy of theory-based interventions to promote PA could be overestimated consequently due to methodological weaknesses of RCTs and that interventions shorter than 14 weeks could maximize the increase of PA behavior.

Impact of obesity and mood disorders on physical comorbidities, psychological well-being, health behaviours and use of health services

BACKGROUND Albeit obesity and mood disorders frequently co-occur, few studies examined the impacts of this co-occurrence. The aim was to compare individuals with obesity and mood disorders (ObMD) to those with obesity without mood disorder in terms of physical comorbidities, psychological well-being, health behaviours and use of health services. METHODS Cross-sectional study using the Canadian Community Health Survey including a weighted sample of individuals with obesity (n = 1298) representing inhabitants from the province of Quebec (Canada). RESULTS Adjusted multivariate logistic regressions indicated that ObMD reported more physical conditions with odds ratio (OR) ranging from 1.8 [95%CI: 1.1 - 2.8] (hypertension) to 2.8 [95%CI: 1.3 - 6.0] (stomach ulcer). Also, ObMD reported poorer psychological well-being with OR ranging from 2.1 [95%CI: 1.4 - 3.3] (stress) to 25.6 [95%CI: 14.7 - 45.0] (poor perceived mental health). ObMD also reported more consultations with health professionals with OR ranging from 1.9 [95%CI: 1.0 - 3.5] (physicians) to 7.7 [95%CI: 4.2 - 14.3] (psychologists), and less healthy behaviours with OR ranging from 1.7 [95%CI: 1.1 - 2.6] (fruits and vegetables intake) to 2.1 [95%CI: 1.3 - 3.3] (tobacco). LIMITATIONS Self-reported data so we cannot discard the possibility of a bias in reporting. Also, given the cross-sectional design, no directional conclusion or causality about our results is possible. DISCUSSION The co-occurrence of mood disorder and obesity seems to be an aggravating factor of obesity-related factors because it is associated with poorer health in several areas. Interventions to prevent or manage obesity in mood disorders are necessary.

Vitamin D status is not related to insulin resistance in different phenotypes of moderate obesity

Low plasma 25-hydroxy-vitamin D (25OHD) and high levels of parathyroid hormone (PTH) are associated with obesity and could play a role in the occurrence of complications such as insulin resistance. The objective of the study was to evaluate whether the relationship between 25OHD status and phosphocalcic parameters differs between metabolically healthy obese (MHO) and insulin-resistant obese (IRO). This cross-sectional study included 158 consecutive adults (121 females) with obesity (body mass index (BMI) 35.15 ± 2.8 kg/m2), aged 43.21 ± 13.6 years. Serum 25OHD, calcemia, phosphatemia, PTH, plasma lipids, fasting plasma glucose, insulin levels, and body composition were measured. Participants were classified as MHO (n = 65) or IRO (n = 93) based on homeostatic model assessment insulin-resistance value. IRO patients had a higher BMI (p = 0.001), waist circumference (p = 0.03), and trunk fat mass (p = 0.007) than MHO patients. Mean HbA1c (p = 0.03), triglycerides (p = 0.02), and hsCRP (p = 0.04) plasmatic levels were increased in the IRO group. No between-group difference was found on 25OHD, PTH, calcium, or phosphorus plasmatic levels. Only age-predicted 25OHD levels were identified among IRO participants, whereas no factors were identified in MHO. No predictive factors of PTH plasmatic level were identified in the IRO and MHO groups. Although MHO and IRO patients have different metabolic profiles, we did not detect any difference regarding either 25OHD or PTH. Insulin resistance was not a predictive factor of vitamin D status. Our results confirm the absence of link between vitamin D status and insulin resistance in moderate obesity.

Matched or nonmatched interventions based on the transtheoretical model to promote physical activity. A meta-analysis of randomized controlled trials

Purpose The aim of this study was to examine whether the efficacy of transtheoretical model (TTM)-based interventions on physical activity (PA) varied according to the following criteria: (1) interventions targeted the actual stages of change (SOCs) or did not; (2) participants were selected according to their SOC or were not; and (3) its theoretical constructs (decisional balance, temptation, self-efficacy, processes of change). Methods Thirty-three randomized controlled trials assessing TTM-based interventions promoting PA in adults were systematically identified. Results The between-group heterogeneity statistic (Qb) did not reveal any differential efficacy either in interventions targeting the actual SOC compared with those that did not (Qb = 1.48, p = 0.22) or in interventions selecting participants according to their SOC compared with those that did not (Qb = 0.01, p = 0.91). TTM-based interventions enhanced PA behavior whether they targeted the actual SOC (Cohens d = 0.36; 95% confidence interval (CI): 0.22–0.49) or not (d = 0.23; 95%CI: 0.09–0.38) and whether they selected their participants according to their SOC (d = 0.33; 95%CI: 0.13–0.53) or not (d = 0.32; 95%CI: 0.19–0.44). The moderators of the efficacy of TTM-based interventions were the number of theoretical constructs used to tailor the intervention (Qb = 8.82, p = 0.003), the use of self-efficacy (Qb = 6.09, p = 0.01), and the processes of change (Qb = 3.51, p = 0.06). Conclusion TTM-based interventions significantly improved PA behavior, and their efficacy was not moderated by SOC but by the TTM theoretical constructs.

Can HbA1c be Used to Screen for Glucose Abnormalities Among Adults with Severe Mental Illness

Aim: Prediabetes and type 2 diabetes are highly prevalent among individuals with serious mental illness and increased by antipsychotic medication. Although widely recommended, many obstacles prevent these patients from obtaining a proper screening for dysglycemia. Currently, glycated hemoglobin (HbA1c), fasting glucose, and 2-hour glucose levels from the oral glucose tolerance test are used for screening prediabetes and type 2 diabetes. The objective of this study was to investigate if HbA1c could be used as the only screening test among individuals with serious mental illness. Methods: Cross sectional study comparing the sensitivity of HbA1c, fasting glucose, and 2-h oral glucose tolerance test to detect dysglycemias in serious mental illness participants referred for metabolic complications. Results: A total of 84 participants (43 female; aged: 38.5±12.8 years; BMI: 35.0±6.8 kg/m²) was included. Regarding prediabetes, 44, 44 and 76% were identified by HbA1c, fasting glucose, and 2 h- oral glucose tolerance test respectively and for type 2 diabetes, 60, 53 and 66% were identified by HbA1c, fasting glucose and 2 h-oral glucose tolerance test. The overlap between the 3 markers was low (8% of participants for prediabetes and 26% for Type 2 diabetes). Sensitivity of HbA1c were moderate (range 40-62.5%), while its specificity was excellent (92-93%). Conclusion: The present study indicates a low agreement between HbA1c, fasting glucose and 2-h oral glucose tolerance test. It appears that these markers do not identify the same participants. Thus, HbA1c may not be used alone to detect all glucose abnormalities among individuals with serious mental illness.

Development of an Exergame on Mobile Phones to Increase Physical Activity for Adults with Severe Mental Illness

Maintaining a certain level of Physical Activity (PA) is important to prevent some chronic pathologies. This is even more important for individuals with severe mental health problems, but they have many barriers that make it very difficult for them to be physically active, including lack of motivation. In this paper, we propose an exergame that aims to help these people integrate PA into their daily lives. This exergame is designed on a smartphone in order to be able to follow the level of activity of the player on a daily basis. It offers game mechanics that allow the player to manage their PA. However, it encourages them to be physically active so that they can progress more easily in the game. The application uses an activity detection algorithm to measure the level of PA. We offer a preliminary study on healthy subjects on a demo version of the game that observes their gaming experience. The results show that the mechanics are globally appreciated and that the game allows each player to manage his PA as he wishes.