Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review.

Lifestyle intervention programmes are efficacious in the management of obesity but often report poor attendance and adherence rates that hinder treatment effectiveness and health outcomes. The aim of this systematic review is to identify (i) barriers to behaviour change and (ii) predictors of adherence to lifestyle intervention programmes in adults with obesity. Studies were identified by systematically reviewing the literature within Medline, PsycINFO, CINAHL, SPORTDiscus and Web of Science from inception to August 2016. Barriers to behaviour change include poor motivation; environmental, societal and social pressures; lack of time; health and physical limitations; negative thoughts/moods; socioeconomic constraints; gaps in knowledge/awareness; and lack of enjoyment of exercise. The most prominent predictors of adherence include early weight loss success, lower baseline body mass index (BMI), better baseline mood, being male and older age. The findings within this review provide novel insight to clinicians working in obesity and have important implications for lifestyle intervention programme design. Barriers to behaviour change need to be addressed early in treatment, with lifestyle intervention individualized accordingly. Predictors of adherence should also be taken into careful consideration, with negative moods and unrealistic weight loss expectations discussed at the outset. If adherence is improved, treatment effectiveness, health outcomes and the ultimate burden of chronic diseases could also be improved.

Behavioural treatment strategies improve adherence to lifestyle intervention programmes in adults with obesity: a systematic review and meta-analysis.

Poor adherence to lifestyle intervention remains a key factor hindering treatment effectiveness and health outcomes for adults with obesity. The aim of this systematic review and meta-analysis is to determine if behavioural treatment strategies (e.g. goal setting, motivational interviewing, relapse prevention, cognitive restructuring etc.) improve adherence to lifestyle intervention programmes in adults with obesity. Randomized controlled trials that investigated the use of behavioural treatment strategies in obesity management were identified by systematically reviewing the literature within Medline, PsycINFO, CINAHL, SPORTDiscus and Web of Science from their inception to August 2016. This meta-analysis shows that behavioural treatment interventions have a significant positive effect on session attendance (percentage) and physical activity (total min/week) in adults with obesity (M = 17.63 (95% confidence interval (CI) = 10.77, 24.50), z =5.0337, P < 0.0001 and M = 105.98 (95% CI = 58.64, 153.32), z =4.3878, P < 0.0001, respectively). This meta-analysis of randomized controlled trials provides evidence that behavioural treatment strategies improve adherence to lifestyle intervention programmes in adults with obesity. These strategies should be routinely incorporated into lifestyle intervention, obesity management and weight loss programmes with the aim of improving engagement and adherence. If adherence were improved, treatment effectiveness, health outcomes and the ultimate burden of chronic disease could also be improved.

The Relationship between Diet Quality and Falls Risk, Physical Function and Body Composition in Older Adults.

OBJECTIVES: We aimed to examine associations between diet quality, falls risk, physical function, physical activity and body composition. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: Data collected from 171 men and women, aged 60-88 years old, as part of the Falls Risk and Osteoporosis Longitudinal Study. MEASUREMENTS: Dietary Intake (Dietary Questionnaire for Epidemiological Studies Version 2 (DQES v2)), Falls Risk (FES-I, ABC, Berg Balance and Physiological Profile Assessment), Physical Function (SPPB), Physical Activity (PASE) and Body Composition (fat mass, lean mass, BMD, BMI, android/gynoid ratio) were ascertained. Diet quality was determined using two measures (Healthy Eating Index - HEI and Healthy Diet Indicator - HDI). One-way Analysis of Variance was used to compare mean scores between females and males and Pearson product-moment correlation coefficients were calculated to examine bivariate relationships. RESULTS: Although females and males were analysed separately, the HDI-total score showed more associations that the HEI in both genders. The HDI showed, in females weak negative associations with BMI (r =-.21, p=.04), gynoid fat (r = -.20, p=.01), total fat mass (r = -.20, p=.02), with a weak positive association between HDI and percentage lean mass (r =.20, p=.03). Males showed positive associations between HDI and age (r =.30 p=.02) physical function (SPPB)(r =.26, p=.04), and subjective falls-risk (ABC) (r =.26, p=.03). In addition, in males, a negative association was found between HDI and FES-I (r = -.25, p=.04). The only measure that was significantly associated with the HEI-total score was the android/gynoid ratio in males (r = -.29, p=.04). When controlling for age, females demonstrated weak positive associations between gynoid (r = .19 p = .02), android (r = .19, p = .02) and total fat mass (r = .20 p = .02) as well as weak negative correlation with lean mass (r = 1.19, p = .03). Age also impacts on the FES-I (r = .29 p <.01) and ABC (r = -.23 p <.01). CONCLUSIONS: The relationships between dietary quality and body composition, falls risk and physical function in older community dwelling, higher functioning adults appear to be gender specific. Better diet quality in females, is associated with lower BMI and fat mass, and higher lean mass, compared to males that are older and appear to have better physical function, are less likely to self-report falls risk, and have a better fat distribution i.e. a lower android/gynoid ratio have better diet quality. Furthermore, age is an important confounder and should be taken into consideration when assessing diet quality in older adults. In addition these gender and age differences may be clinically relevant and could aid in the delivery of targeted interventions.