The impact of health vs. non-health goals on individuals’ lifestyle program choices: a discrete choice experiment approach

Benning, Tim M.; Dellaert, Benedict G. C.; Arentze, Theo

doi:10.1186/s12889-020-8416-3

Cited by 4 publications

(3 citation statements)

References 41 publications

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“…Our results are not directly comparable, because we focused specifically on diet-based interventions, and we found that type of diet was the leading driver of preferences. In two studies ( 4 , 5 ), weight loss was more important than type of diet (although the diet options were unspecific [i.e., “restrictive,” “flexible,” and “no diet”]). Other studies (e.g., Johnson et al.…”

Section: Discussionmentioning

confidence: 99%

Identifying Preferred Features of Weight Loss Programs for Adults With or at Risk of Type 2 Diabetes: A Discrete Choice Experiment With 3,960 Adults in the U.K.

Buckell,

Mitchell,

Fryer

et al. 2024

Diabetes Care

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OBJECTIVE To understand preferences for features of weight loss programs among adults with or at risk of type 2 diabetes in the U.K. RESEARCH DESIGN AND METHODS We conducted a discrete choice experiment with 3,960 U.K. adults living with overweight (n = 675 with type 2 diabetes). Preferences for seven characteristics of weight loss programs were analyzed. Simulations from choice models using the experimental data predicted uptake of available weight loss programs. Patient groups comprising those who have experience with weight loss programs, including from minority communities, informed the experimental design. RESULTS Preferences did not differ between individuals with and without type 2 diabetes. Preferences were strongest for type of diet. Healthy eating was most preferred relative to total diet replacement (odds ratio [OR] 2.24; 95% CI 2.04–2.44). Individual interventions were more popular than group interventions (OR 1.40; 95% CI 1.34–1.47). Participants preferred programs offering weight loss of 10–15 kg (OR 1.37; 95% CI 1.28–1.47) to those offering loss of 2–4 kg. Online content was preferred over in-person contact (OR 1.24; 95% CI 1.18–1.30). There were few differences in preferences by gender or ethnicity, although weight loss was more important to women than to men, and individuals from ethnic minority populations identified more with programs where others shared their characteristics. Modeling suggested that tailoring programs to individual preferences could increase participation by ∼17 percentage points (68% in relative terms). CONCLUSIONS Offering a range of weight loss programs targeting the preferred attributes of different patient groups could potentially encourage more people to participate in weight loss programs and support those living with overweight to reduce their weight.

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Section: Discussionmentioning

confidence: 99%

Identifying Preferred Features of Weight Loss Programs for Adults With or at Risk of Type 2 Diabetes: A Discrete Choice Experiment With 3,960 Adults in the U.K.

Buckell,

Mitchell,

Fryer

et al. 2024

Diabetes Care

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“…In addition, psychologists emphasize the importance of goals and goal pursuit for understanding consumer choices (e.g., Kopetz et al 2012). Research substantiated the importance of goal pursuit for health-related behavior (Benning et al 2020). We argue that investigating the interplay of selfquantification and health and fitness goal pursuit motivation furthers our understanding of lasting smartwatch use.…”

Section: Introductionmentioning

confidence: 83%

Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Siepmann

Kowalczuk

2021

Electron Markets

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Smartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.

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“…Risk aversion preference and relative importance weights suggests risk reduction is perceived as the participants' goal in weighing choices. Therefore, allowing that 54% of CRC cases in the UK are preventable 92 , if action were taken to enhance individual agency in this known risk group, by developing the awareness of the association between adenoma removal, ongoing surveillance, CRC and lifestylerelated cancer risks, patient outcomes could be further optimized relative to the status-quo, in keeping with a risk reduction goal 93 .…”

Section: Discussionmentioning

confidence: 99%

Patient Preferences in Surveillance: Findings From a Discrete Choice Experiment in the “My Follow-Up” Study

McFerran

Boeri²,

Kee

2020

Value in Health

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Objective: Approximately 800,000 people die globally from colorectal cancer (CRC) every year. Prevention programmes promote early detection, but for people with pre-cancerous lesions, tailoring surveillance to include lifestyle-change programmes could enhance prevention potential and improve outcomes. Methods:Those with intermediate or high-risk polyps removed during CRC-screening colonoscopy within the Northern Ireland CRC Screening programme were invited to complete 8 discrete choice questions about tailored surveillance, analysed using random-parameters logit and latent class modelling approach.Results: 231 participants, (77% male) self-reported comorbid hypertension (53%), high cholesterol (48%) and mean BMI of 28.7 (overweight). Although 39% of participants were unaware of their CRC risk-status, 30.9% indicated they were already making changes to reduce their risk. Although all respondents were significantly risk and cost averse, the latent class analysis identified three segments (classes): i)Class 1 (26.8%) significantly favoured phone or email support for a lifestyle change, a 17-month testing interval, and non-invasive testing.ii) Class 2 (48.4%) preferred the status-quo.iii) Class 3 (24.7%) significantly favoured further risk reduction and invasive testing.Conclusions: This is the first documented preference study focusing on post-polypectomy surveillance offering lifestyle interventions. Although current care is strongly preferred, risk and cost aversion are important for participants. Latent class analysis shows that some respondents are willing to change diet and lifestyle behaviours, reflecting a teachable moment, with opportunities to personalise and optimise surveillance. Significant discordance between perceived and known risk of recurrence and limited recall of risk information provided within current practice suggest necessary improvements to surveillance programmes.

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The impact of health vs. non-health goals on individuals’ lifestyle program choices: a discrete choice experiment approach

Cited by 4 publications

References 41 publications

Identifying Preferred Features of Weight Loss Programs for Adults With or at Risk of Type 2 Diabetes: A Discrete Choice Experiment With 3,960 Adults in the U.K.

Identifying Preferred Features of Weight Loss Programs for Adults With or at Risk of Type 2 Diabetes: A Discrete Choice Experiment With 3,960 Adults in the U.K.

Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Patient Preferences in Surveillance: Findings From a Discrete Choice Experiment in the “My Follow-Up” Study

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