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Perceived barriers to physical activity during and after a behavioural weight loss programme.

ABSTRACT: Background:Most adults with overweight/obesity participating in behavioural weight loss (BWL) programmes never achieve prescribed physical activity (PA) levels. This study examined changes in PA barriers, their relationships with accelerometer-measured PA during and after a 12-month BWL programme, and associations between PA barriers and participant characteristics. Methods:Adults (N = 283) in a BWL programme completed the Barriers to Being Active Quiz, a 21-item self-report measure that assesses seven perceived PA barriers, and they wore an accelerometer for seven consecutive days at baseline and at 6 (midtreatment), 12 (end of treatment), 18 (6-mo follow-up), and 24 months (12-mo follow-up). Weight and height were measured, and demographic information was collected at baseline. Results:Repeated-measures analyses of variance (ANOVAs) revealed a significant quadratic effect of time on total PA barriers, P < .001, such that PA barriers decreased by midtreatment, remained below baseline levels by end of treatment, but increased to near-baseline levels by follow-up. Perceived PA barriers were negatively associated with baseline moderate-to-vigorous PA (MVPA), P < .001, and decreases in perceived PA barriers were related to greater MVPA at 6 (P = .004), 12 (P < .001), and 24 months (P = .007). Participants who were younger, P = .02, and white, P = .009, reported more baseline barriers. Conclusions:Perceived PA barriers meaningfully decreased during BWL treatment, which in turn was associated with greater MVPA. This pattern suggests that, on average, BWL effectively addresses perceived PA barriers, which contributes to increased PA. Future research should identify interventions to maintain decreases in barriers after end of treatment.

SUBMITTER: Call CC

PROVIDER: S-EPMC7042099 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Perceived barriers to physical activity during and after a behavioural weight loss programme.

Call Christine C CC Roberts Savannah R SR Schumacher Leah M LM Remmert Jocelyn E JE Kerrigan Stephanie G SG Butryn Meghan L ML

Obesity science & practice 20191219 1

<h4>Background</h4>Most adults with overweight/obesity participating in behavioural weight loss (BWL) programmes never achieve prescribed physical activity (PA) levels. This study examined changes in PA barriers, their relationships with accelerometer-measured PA during and after a 12-month BWL programme, and associations between PA barriers and participant characteristics.<h4>Methods</h4>Adults (N = 283) in a BWL programme completed the Barriers to Being Active Quiz, a 21-item self-report measu ...[more]

PMID: 32128238

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Project description:BACKGROUND:Behavioural weight management programmes are effective in assisting people with overweight or obesity to lose excess body weight. Yet, many still struggle to attain their weight loss goals in such programmes. Little is understood about the factors which impact success in these programmes. Synthesising this data will allow for theory to be developed on how to improve success in such programmes. The main aim of this review will be to extract and synthesise the barriers and facilitators of successful weight loss during participation of behavioural weight loss programmes in adults living with overweight and obesity. METHODS:A systematic search of MEDLINE, Embase, PsycINFO, The Cochrane Library and CINAHL will be performed from inception onwards. Studies will also be sought by contacting experts in the field, reference and website searching. Studies will be eligible if the participants are adults living with obesity (population) undertaking or recently completed behavioural weight loss programmes (intervention) with the primary focus of weight loss (outcome). The primary outcomes will be amount of weight lost and information on barriers and/or facilitators to success. The secondary outcomes will be reasons or factors related to attrition and adherence and behaviour change techniques used in programmes. Two reviewers will screen citations and full-text data. Reviewer 1 will screen all, and reviewer 2 will screen a random 50% of articles. Data extraction will be completed by reviewer 1, and 10% will be checked by the research team. Potential conflicts will be resolved through discussion. Data will be synthesised and described narratively to show the characteristics of each study, levels of success and barriers and facilitators during programme participation. A thematic approach will be taken, and themes will be coded against the levels of the socioecological model. Quantitative data will be extracted and categorised according to these themes and presented alongside the qualitative data. DISCUSSION:Our findings can be used to inform how weight loss programmes can be improved to facilitate success in those at risk of failure. Results will be published in a peer-reviewed journal. SYSTEMATIC REVIEW REGISTRATION: ( PROSPERO CRD42019148158 ).

Project description:ObjectiveTo determine if the characteristics of behavioural weight loss programmes influence the rate of change in weight after the end of the programme.DesignSystematic review and meta-analysis.Data sourcesTrial registries, 11 electronic databases, and forward citation searching (from database inception; latest search December 2019). Randomised trials of behavioural weight loss programmes in adults with overweight or obesity, reporting outcomes at ≥12 months, including at the end of the programme and after the end of the programme.Review methodsStudies were screened by two independent reviewers with discrepancies resolved by discussion. 5% of the studies identified in the searches met the inclusion criteria. One reviewer extracted the data and a second reviewer checked the data. Risk of bias was assessed with Cochrane's risk of bias tool (version 1). The rate of change in weight was calculated (kg/month; converted to kg/year for interpretability) after the end of the programme in the intervention versus control groups by a mixed model with a random intercept. Associations between the rate of change in weight and prespecified variables were tested.ResultsData were analysed from 249 trials (n=59 081) with a mean length of follow-up of two years (longest 30 years). 56% of studies (n=140) had an unclear risk of bias, 21% (n=52) a low risk, and 23% (n=57) a high risk of bias. Regain in weight was faster in the intervention versus the no intervention control groups (0.12-0.32 kg/year) but the difference between groups was maintained for at least five years. Each kilogram of weight lost at the end of the programme was associated with faster regain in weight at a rate of 0.13-0.19 kg/year. Financial incentives for weight loss were associated with faster regain in weight at a rate of 1-1.5 kg/year. Compared with programmes with no meal replacements, interventions involving partial meal replacements were associated with faster regain in weight but not after adjustment for weight loss during the programme. Access to the programme outside of the study was associated with slower regain in weight. Programmes where the intensity of the interaction reduced gradually were also associated with slower regain in weight in the multivariable analysis, although the point estimate suggested that the association was small. Other characteristics did not explain the heterogeneity in regain in weight.ConclusionFaster regain in weight after weight loss was associated with greater initial weight loss, but greater initial weight loss was still associated with reduced weight for at least five years after the end of the programme, after which data were limited. Continued availability of the programme to participants outside of the study predicted a slower regain in weight, and provision of financial incentives predicted faster regain in weight; no other clear associations were found.Study registrationPROSPERO CRD42018105744.

Project description:In this secondary analysis of the DiOGenes study, we investigated whether physical activity (PA) contributes to diet-induced weight loss and helps to reduce subsequent regain. We also studied the associations of PA with changes in cardiometabolic variables. Adults with overweight were included and followed an 8-week low-calorie diet (LCD). When successful (>8% weight loss), participants were randomized to different ad libitum diet groups and were advised to maintain their weight loss over the 6-month intervention period. Body weight (BW), body composition, cardiometabolic variables and subjectively-assessed PA were measured at baseline, at the end of weight loss and at the end of the intervention. BW was reduced by the LCD (from 99.8 ± 16.7 to 88.4 ± 14.9 kg; P < 0.001). This reduction was maintained during the weight maintenance period (89.2 ± 16.0 kg). Total PA (sum score of the three subscales of the Baecke questionnaire) increased during the weight loss period (from 8.16 ± 0.83 to 8.39 ± 0.78; P < 0.001) and this increase was subsequently maintained (8.42 ± 0.90). We found no evidence that baseline PA predicted weight loss. However, a higher level of baseline PA predicted a larger weight-loss-induced improvement in total cholesterol, triglycerides, glucose and CRP, and in post-prandial insulin sensitivity (Matsuda index). Subsequent weight and fat mass maintenance were predicted by the post-weight loss level of PA and associated with changes in PA during the weight maintenance phase. In conclusion, despite the fact that higher baseline levels of PA did not predict more weight loss during the LCD, nor that an increase in PA during the LCD was associated with more weight loss, higher PA levels were associated with more improvements in several cardiometabolic variables. The positive effect of higher PA on weight loss maintenance seems in contrast to randomized controlled trials that have not been able to confirm a positive effect of exercise training programmes on weight loss maintenance. This analysis supports the notion that higher self-imposed levels of PA may improve the cardiometabolic risk profile during weight loss and help to maintain weight loss afterwards.

Project description:This observational study investigates whether the provision of ongoing short-term-incentives for verified physical activity increases and sustains levels of physical activity. We compared UK members at baseline (years 1 and 2) prior to Vitality's Active Rewards (VAR) intervention commencing (year 3) and follow-up (year 4) for verified, self-reported (encompassing additional physical activities), mortality relative risk and satisfaction with physical activity. Members were categorised into low-active, medium-active and high-active by tertiles of baseline physical activity. Of 11,881 participants, 6477(54.5%) were male, with mean age 39.7(SD 9.8) years. At follow-up, annual active days had increased by 56% overall [60.8(59.7-61.9)-94.8(93.0-96.5)]; 554% in low-active [8.5(8.3-8.7)-47.1(44.7-49.5)]; 205% in medium-active [39.8(39.4-40.2)-81.4(78.7-84.1)] and 17% in high-active members [131.7(129.9-133.5)-153.7(150.7-156.7)] (all p?<?0.001). Annual weeks of attaining international physical activity recommendations increased by 19% overall [22.2(42.8%)-26.4(50.8%)] and by 316% for low-active members [4.9(9.5%)-15.5(29.8%)]. Self-reported active minutes/week increased by 45% overall [1423(139.4-145.2)-207.0(201.8-212.3)] and 712% in low-active members [20.1(19.3-21.0)-143.2(134.6-151.9)]. Happiness with exercise levels also increased from 1985(49.4%) to 3414(84.9%) members (all p?<?0.001). The relative risk of mortality from a lack of physical activity reduced by 7% for low-active members [from 0.99 to 0.92], 5% for medium-active [0.94-0.89] and 3% for high-active [0.89-0.86](p?<?0.001) and by 0.02% for each additional year of age (p?=?0.02). This large-scale, real-world, short-term-incentives intervention led to a dramatic increase in physical activity which was sustained for, and still increasing after, two years. If applied at broader level, this approach could considerably aid progress towards WHO targets in its Global Action Plan for Physical Activity.

Project description:Individual barriers to weight loss and physical activity goals in the Diabetes Prevention Program, a randomized trial with 3.2 years average treatment duration, have not been previously reported. Evaluating barriers and the lifestyle coaching approaches used to improve adherence in a large, diverse participant cohort can inform dissemination efforts.Lifestyle coaches documented barriers and approaches after each session (mean session attendance?=?50.3?±?21.8). Subjects were 1076 intensive lifestyle participants (mean age?=?50.6 years; mean BMI?=?33.9 kg/m²; 68% female, 48% non-Caucasian). Barriers and approaches used to improve adherence were ranked by the percentage of the cohort for whom they applied. Barrier groupings were also analyzed in relation to baseline demographic characteristics.Top weight loss barriers reported were problems with self-monitoring (58%); social cues (58%); holidays (54%); low activity (48%); and internal cues (thought/mood) (44%). Top activity barriers were holidays (51%); time management (50%); internal cues (30%); illness (29%), and motivation (26%). The percentage of the cohort having any type of barrier increased over the long-term intervention period. A majority of the weight loss barriers were significantly associated with younger age, greater obesity, and non-Caucasian race/ethnicity (p-values vary). Physical activity barriers, particularly thought and mood cues, social cues and time management, physical injury or illness and access/weather, were most significantly associated with being female and obese (p?<?0.001 for all). Lifestyle coaches used problem-solving with most participants (?75% short-term; > 90% long term) and regularly reviewed self-monitoring skills. More costly approaches were used infrequently during the first 16 sessions (?10%) but increased over 3.2 years.Behavioral problem solving approaches have short and long term dissemination potential for many kinds of participant barriers. Given minimal resources, increased attention to training lifestyle coaches in the consistent use of these approaches appears warranted.

Dataset Information

Perceived barriers to physical activity during and after a behavioural weight loss programme.

Publications

Perceived barriers to physical activity during and after a behavioural weight loss programme.

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