Can't wait to lose weight? Characterizing temporal discounting parameters for weight-loss

Lim, Seung-Lark; Bruce, Amanda S.

doi:10.1016/j.appet.2014.11.001

Cited by 17 publications

(26 citation statements)

References 36 publications

(44 reference statements)

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“…The 27‐item monetary choice questionnaire (M‐M) was used to measure delay discounting of monetary rewards . A monetary and weight choices questionnaire (M‐W) modelled after the monetary choice questionnaire and weight loss choice questionnaire was used to measure cross commodity discounting of immediate monetary and delayed weight loss rewards. In both tasks, participants are presented with a set of choices between smaller immediate rewards and larger delayed rewards.…”

Section: Methodsmentioning

confidence: 99%

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Delay discounting and utility for money or weight loss

Sze

Slaven

Bickel

et al. 2017

Obesity Science & Practice

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SummaryObjectiveObesity is related to a bias towards smaller immediate over larger delayed rewards. This bias is typically examined by studying single commodity discounting. However, weight loss often involves choices among multiple commodities. To our knowledge, no research has examined delay discounting of delayed weight loss compared with other commodities.MethodsWe examined single commodity discounting of money and cross commodity discounting of money and weight loss in a sample of 84 adults with obesity or overweight statuses interested in weight loss. The exchange rate between money and weight loss was calculated, and participants completed two delay discounting tasks: money now versus money later and money now versus weight loss later.ResultsParticipants discounted weight loss more than money (p < 0.001). When participants were divided into those who preferred weight loss (n = 61) versus money (n = 23), those who preferred money over weight loss discounted weight loss even more than individuals that preferred weight loss (p = 0.003).ConclusionsGreater discounting of weight loss for those who preferred money suggest that idiosyncratic preferences are related to multiple commodity discounting, and greater discounting of weight loss across all participants provide insight on important challenges for weight control.

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Section: Methodsmentioning

confidence: 99%

“…Previous obesity research has primarily employed single commodity discounting of monetary , weight loss or food rewards . However, many daily choices a person must make to lose weight involve foregoing the preferred immediate reward for the delayed reward of weight loss.…”

Section: Temporal Discounting and Utility For Weight Loss And Moneymentioning

confidence: 99%

Delay discounting and utility for money or weight loss

Sze

Slaven

Bickel

et al. 2017

Obesity Science & Practice

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“…180 Other intervention strategies (e.g. goal-setting, 181 provision of health information 182 ) could also be usefully targeted depending on information available on individual participants' time preferences.…”

Section: Discount Rates and Intervention Effectivenessmentioning

confidence: 99%

A loyalty scheme to encourage physical activity in office workers: a cluster RCT

et al. 2019

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Background Increasing physical activity in the workplace can provide physical and mental health benefits for employees and economic benefits for the employer through reduced absenteeism and increased productivity. However, there is limited evidence on effective behaviour change interventions in workplace settings that led to maintained physical activity. This study aimed to address this gap and contribute to the evidence base for effective and cost-effective workplace interventions. Objectives To determine the effectiveness and cost-effectiveness of the Physical Activity Loyalty scheme, a multicomponent intervention based on concepts similar to those that underpin a high-street loyalty card, which was aimed at encouraging habitual physical activity behaviour and maintaining increases in mean number of steps per day. Design A cluster randomised controlled trial with an embedded economic evaluation, behavioural economic experiments, mediation analyses and process evaluation. Setting Office-based employees from public sector organisations in Belfast and Lisburn city centres in Northern Ireland. Participants A total of 853 participants [mean age 43.6 years (standard deviation 9.6 years); 71% of participants were female] were randomly allocated by cluster to either the intervention group or the (waiting list) control group. Intervention The 6-month intervention consisted of financial incentives (retail vouchers), feedback and other evidence-based behaviour change techniques. Sensors situated in the vicinity of the workplaces allowed participants to monitor their accumulated minutes of physical activity. Main outcome measures The primary outcome was mean number of steps per day recorded using a sealed pedometer (Yamax Digiwalker CW-701; Yamax, Tasley, UK) worn on the waist for 7 consecutive days and at 6 and 12 months post intervention. Secondary outcomes included health, mental well-being, quality of life, work absenteeism and presenteeism, and the use of health-care resources. Results The mean number of steps per day were significantly lower for the intervention group than the control group [6990 mean number of steps per day (standard deviation 3078) vs. 7576 mean number of steps per day (standard deviation 3345), respectively], with an adjusted mean difference of –336 steps (95% confidence interval –612 to –60 steps; p = 0.02) at 6 months post baseline, but not significantly lower at 12 months post baseline. There was a small but significant enhancement of mental well-being in the intervention group (difference between groups for the Warwick–Edinburgh Mental Wellbeing Scale of 1.34 points, 95% confidence interval 0.48 to 2.20 points), but not for the other secondary outcomes. An economic evaluation suggested that, overall, the scheme was not cost-effective compared with no intervention. The intervention was £25.85 (95% confidence interval –£29.89 to £81.60) more costly per participant than no intervention and had no effect on quality-adjusted life-years (incremental quality-adjusted life-years –0.0000891, 95% confidence interval –0.008 to 0.008). Limitations Significant restructuring of participating organisations during the study resulted in lower than anticipated recruitment and retention rates. Technical issues affected intervention fidelity. Conclusions Overall, assignment to the intervention group resulted in a small but significant decline in the mean pedometer-measured steps per day at 6 months relative to baseline, compared with the waiting list control group. The Physical Activity Loyalty scheme was deemed not to be cost-effective compared with no intervention, primarily because no additional quality-adjusted life-years were gained through the intervention. Research to better understand the mechanisms of physical activity behaviour change maintenance will help the design of future interventions. Trial registration Current Controlled Trials ISRCTN17975376. Funding This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 7, No. 15. See the NIHR Journals Library website for further project information.

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“…Reviews suggest that delay discounting could be a promising predictive measure of health behavior, as high discount rates for money are associated with several unhealthy behaviors and markers of health status . At this time, there is an emerging relation between delay discounting and weight loss ; however, the data on a relation between delay discounting and BMI is mixed .…”

Section: High‐priority Constructs and Measuresmentioning

confidence: 99%