Factors associated with dropout in a group weight‐loss programme: a longitudinal investigation

Abstract

Weight-loss in the beginning of the programme is a crucial independent determinant of dropout in each week except the last one. This finding is important because it suggests a simple assessment for a major dropout risk factor in adult weight-loss intervention programmes.

Predicting dropout in dietary weight loss trials using demographic and early weight change characteristics: Implications for trial design

“…Several researchers have previously demonstrated that initial weight loss is associated with study dropout in dietary based weight loss trials [9][10][11][12][13][14][15][16] , however this finding is not consistent and others have found no relationship 11,17,18 . This is the first study to quantify the amount of initial weight loss which predicts dropout and to investigate and quantify additional easily obtainable subject characteristics such as age which can be used to ensure adequate randomisation.…”

“…One month was the earliest time point at which weight was recorded in the weight loss trials studied here. Recent research has demonstrated that weight loss as early as one week 16 or BMI changes as early as two weeks may be predictive of dropout 10 and future research should investigate the role of weekly monitoring to quantify the risk of dropout.…”

Predictors of Retention Among African Americans in a Randomized Controlled Trial to Test the Healthy Eating and Active Living in the Spirit (HEALS) Intervention

“…33 One study also suggested that weight loss within the first two weeks of studies predicted retention. 19 While weight loss was a. Adjusted for body mass index, age, perceived stress score and partner enrolled in the study.…”

“…11 Factors that have been identified as influencing retention in weightloss trials include age, sex, race, distance to intervention site, cognitive impairment, occupational status, education, socioeconomic status, smoking, physical activity level and depression. 9,[16][17][18][19] A review of 50 studies of AAs in clinical trials identified barriers to retention including lack of a study partner, lower educational level, and lack of compensation. 20 An earlier study conducted by our team found that a decentralized CBPR approach led to intervention…”

Technology-based interventions for weight management: current randomized controlled trial evidence and future directions

“…Individuals are more likely to drop out of trials if they are not meeting weight loss goals (Yackobovitch-Gavan et al, 2015). Two important determinants of weight loss via eHealth interventions include frequency of logins and including interactive intervention components (Gold et al, 2007).…”