Overweight/Obesity and Time Preference: Evidence from a Survey among Adults in the UK.

INTRODUCTION: Overweight and obesity is a global problem incurring substantial health and economic implications. This has also been highlighted by the ongoing COVID-19 pandemic which has disproportionately affected overweight and obese individuals. Most of the interventions have concentrated on promotion of physical activities and healthy eating which may involve current sacrifices for future health gains. The purpose of this study was to explore the relationship between bodyweight and how individuals state they would trade-off immediate income for higher amounts in the future (time preference). METHODS: An online survey was conducted targeting adults aged >16 years in the UK (England, Northern Ireland, Scotland, and Wales) from January 1, 2016 to July 31, 2016. Using paid online adverts, as well as personal and professional networks for distribution of links to the online survey, the questionnaire asked respondents to report socio-economic and demographic information, height, and weight and to complete a time preference exercise. Data were analysed using descriptive statistics; associations were explored between BMI and respondents' characteristics and time preference using Spearman rank-order correlation and χ2 tests as appropriate. We adopted STROBE guidelines for the reporting of the study. RESULTS: A total of 561 responses were analysed (female = 293, males = 268). The relationship between time preference and overweight/obesity, using BMI as the measure is highly significant (χ2 = 95.92: p < 0.001). Individuals of normal weight have low time preferences and are more likely to invest in activities in a bid to reap future health benefits. There are also significant relationships between BMI and employment status (χ2 = 37.03; p < 0.001), physical activities (p < 0.0001), income levels (χ2 = 6.68; p < 0.035), family orientation, i.e., with or without children (χ2 = 12.88; p < 0.012), and ethnicity (χ2 = 18.31; p < 0.001). These imply that individuals in employment and with children in their families are less likely to be overweight or obese compared to those who do not. People from black backgrounds are also more likely to be overweight or obese and have higher time preferences compared to people from white backgrounds. DISCUSSIONS/CONCLUSIONS: People's preventive behaviours today can be predicted by their time preference and this understanding could be vital in improving population's uptake and maintenance of overweight and obesity prevention actions. People who have low time preference are more likely to invest time and resources in physical activities and healthy lifestyles to reap future health benefits hence value utilities-in-anticipation. Public health programmes should therefore use the knowledge of the association between time preference and overweight/obesity to inform designs of intervention programmes.

Acceptability to patients, carers and clinicians of an mHealth platform for the management of Parkinson's disease (PD_Manager): study protocol for a pilot randomised controlled trial.

BACKGROUND: Parkinson's disease is a degenerative neurological condition causing multiple motor and non-motor symptoms that have a serious adverse effect on quality of life. Management is problematic due to the variable and fluctuating nature of symptoms, often hourly and daily. The PD_Manager mHealth platform aims to provide a continuous feed of data on symptoms to improve clinical understanding of the status of any individual patient and inform care planning. The objectives of this trial are to (1) assess patient (and family carer) perspectives of PD_Manager regarding comfort, acceptability and ease of use; (2) assess clinician views about the utility of the data generated by PD_Manager for clinical decision making and the acceptability of the system in clinical practice. METHODS/DESIGN: This trial is an unblinded, parallel, two-group, randomised controlled pilot study. A total of 200 persons with Parkinson's disease (Hoehn and Yahr stage 3, experiencing motor fluctuations at least 2 h per day), with primary family carers, in three countries (110 Rome, 50 Venice, Italy; 20 each in Ioannina, Greece and Surrey, England) will be recruited. Following informed consent, baseline information will be gathered, including the following: age, gender, education, attitudes to technology (patient and carer); time since Parkinson's diagnosis, symptom status and comorbidities (patient only). Randomisation will assign participants (1:1 in each country), to PD_Manager vs control, stratifying by age (1 ≤ 70 : 1 > 70) and gender (60% M: 40% F). The PD_Manager system captures continuous data on motor symptoms, sleep, activity, speech quality and emotional state using wearable devices (wristband, insoles) and a smartphone (with apps) for storing and transmitting the information. Control group participants will be asked to keep a symptom diary covering the same elements as PD_Manager records. After a minimum of two weeks, each participant will attend a consultation with a specialist doctor for review of the data gathered (by either means), and changes to management will be initiated as indicated. Patients, carers and clinicians will be asked for feedback on the acceptability and utility of the data collection methods. The PD_Manager intervention, compared to a symptom diary, will be evaluated in a cost-consequences framework. DISCUSSION: Information gathered will inform further development of the PD_Manager system and a larger effectiveness trial. TRIAL REGISTRATION: ISRCTN Registry, ISRCTN17396879 . Registered on 15 March 2017.

Estimation of Quality-adjusted Life Years alongside clinical trials: the impact of 'time-effects' on trial results.

OBJECTIVES: The objectives were to investigate the impact of 'time-effect' on the estimation of quality-adjusted life years (QALYs) along prospective clinical trials' outcomes using an assumed fixed time duration versus the actual time durations for each case. The 'time' duration is the length of time in a health state. METHODS: Two methods were used in the estimation of QALYs based using EQ-5D 3L scores collected at specific time-point intervals. One method used the actual time durations for each case based on CRF records, and the other used an assumed time duration and globally applied it to all the cases. Using SPSS ® software program, we used paired-sample t-tests to assess whether the 'time-effect' can potentially affect trial results using CONSTRUCT trial data as reported in the trial results publications. The trial compared use of Infliximab with Cyclosporine for patients with Ulcerative Colitis and it involved some 270 participants. KEY FINDINGS: The results largely indicate statistically significant differences between the two methods of QALY estimations. QALYs at the respective time-points indicate no statistical difference between the two approaches. However, the difference in terms of total QALYs between the two QALY estimation approaches is statistically significant with considerable impact on costs/QALY. CONCLUSIONS: Considering the possible impact of the time-effect on QALY estimations, the result implies that it can have significant implications for resources allocations decisions. In this respect, researchers have to pay due considerations to the approach they use and where possible, actual time durations must be used in QALY estimations along prospective clinical trials.