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. 2022 Oct 27;9(3):243-252.
doi: 10.1002/osp4.642. eCollection 2023 Jun.

Quantifying weight loss program preferences of men working in trade and labor occupations: A discrete choice experiment

Melissa M Crane  1 , Surrey M Walton  2 , Sumihiro Suzuki  1 , Bradley M Appelhans  1
Affiliations

Quantifying weight loss program preferences of men working in trade and labor occupations: A discrete choice experiment

Melissa M Crane et al. Obes Sci Pract. .

Abstract

Objective: Men who work in skilled and unskilled trades and labor occupations (i.e., blue-collar occupations), have high rates of obesity and associated comorbidities but are underrepresented in weight loss programs. A first step in engaging this group is to better understand their preferences for weight loss programs.

Methods: Respondents were men working in trade and labor occupations, with overweight/obesity, and an interest in losing weight. A discrete choice experiment was developed, and the data were analyzed using mixed logit model. Respondent characteristics were tested as effect modifiers.

Results: Respondents (N = 221, age (M ± SD) 45.0 ± 12.6, BMI 33.3 ± 6.3, 77% non-Hispanic white) working in a variety of occupations (construction 31%, manufacturing 30%, transportation 25%, maintenance/repair 14%) participated in this study. Results indicate preferences for programs that encourage making smaller dietary changes, are delivered online, and do not incorporate competition. Results were consistent across sensitivity analyses and most respondent groups.

Conclusions: The results suggest specific ways to make weight loss programs more appealing to men in trade and labor occupations. Using experimental methods to quantify preferences using larger, more representative samples would further assist in tailoring behavioral weight loss programs for under-reached populations.

Keywords: discrete choice experiment; intervention; men's health; occupation.

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Conflict of interest statement

The authors declared no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Example discrete choice task set as presented to participants
FIGURE 2
FIGURE 2
Relative preference of attributes from mixed logit analysis
See this image and copyright information in PMC

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