Literature DB >> 27059629

Men's Preferences for Physical Activity Interventions: An Exploratory Study Using a Factorial Survey Design Created With R Software.

Sheryl L Chatfield1, Abigail Gamble1, Jeffrey S Hallam1.   

Abstract

Effective exercise interventions are needed to improve quality of life and decrease the impact of chronic disease. Researchers suggest males have been underrepresented in exercise intervention studies, resulting in less understanding of their exercise practices. Findings from preference survey methods suggest reasonable association between preference and behavior. The purpose of the research described in this article was to use factorial survey, a preference method, to identify the characteristics of exercise interventions most likely to appeal to male participants, so preferences might be incorporated into future intervention research. The research was guided by the framework of Bandura's social cognitive theory, such that variations in individual, environmental, and behavioral factors were incorporated into vignettes. Participants included 53 adult male nonadministrative staff and contract employees at a public university in the Southeastern United States, who each scored 8 vignettes resulting in 423 observations. Multilevel models were used to assess the influence of the factors. Participants scored vignettes that included exercising with a single partner, playing basketball, and exercising in the evening higher than vignettes with other options. Qualitative analysis of an open response item identified additional alternatives in group size, participant desire for coaching support, and interest in programs that incorporate a range of activity alternatives. Findings from this research were consistent with elements of social cognitive theory as applied to health promotion. Factorial surveys potentially provide a resource effective means of identifying participants' preferences for use when planning interventions. The addition of a single qualitative item helped clarify and expand findings from statistical analysis.

Entities:  

Keywords:  R; factorial survey; men’s health; physical activity

Mesh:

Year:  2016        PMID: 27059629      PMCID: PMC5818111          DOI: 10.1177/1557988316643316

Source DB:  PubMed          Journal:  Am J Mens Health        ISSN: 1557-9883


  27 in total

1.  Goal-setting protocol in adherence to exercise by Italian adults.

Authors:  James J Annesi
Journal:  Percept Mot Skills       Date:  2002-04

2.  Effects of the COACH APPROACH intervention on drop-out rates among adults initiating exercise programs at nine YMCAs over three years.

Authors:  James J Annesi; Jennifer L Unruh
Journal:  Percept Mot Skills       Date:  2007-04

3.  Comparing welfare estimates from payment card contingent valuation and discrete choice experiments.

Authors:  Mandy Ryan; Verity Watson
Journal:  Health Econ       Date:  2009-04       Impact factor: 3.046

4.  Predicting adherence of adults to a 12-month exercise intervention.

Authors:  Lisa Cadmus-Bertram; Melinda Irwin; Catherine Alfano; Kristin Campbell; Catherine Duggan; Karen Foster-Schubert; Ching-Yun Wang; Anne McTiernan
Journal:  J Phys Act Health       Date:  2013-10-31

Review 5.  Who participates in physical activity intervention trials?

Authors:  Lauren Ashleigh Waters; Benedicte Galichet; Neville Owen; Elizabeth Eakin
Journal:  J Phys Act Health       Date:  2011-01

6.  Effects of specific versus cross-training on running performance.

Authors:  C Foster; L L Hector; R Welsh; M Schrager; M A Green; A C Snyder
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1995

7.  "You've got to walk before you run": positive evaluations of a walking program as part of a gender-sensitized, weight-management program delivered to men through professional football clubs.

Authors:  Kate Hunt; Claire McCann; Cindy M Gray; Nanette Mutrie; Sally Wyke
Journal:  Health Psychol       Date:  2013-01       Impact factor: 4.267

8.  Loneliness predicts reduced physical activity: cross-sectional & longitudinal analyses.

Authors:  Louise C Hawkley; Ronald A Thisted; John T Cacioppo
Journal:  Health Psychol       Date:  2009-05       Impact factor: 4.267

9.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

10.  What kinds of website and mobile phone-delivered physical activity and nutrition interventions do middle-aged men want?

Authors:  Corneel Vandelanotte; Cristina M Caperchione; Marcus Ellison; Emma S George; Anthony Maeder; Gregory S Kolt; Mitch J Duncan; Mohanraj Karunanithi; Manny Noakes; Cindy Hooker; Pierre Viljoen; W Kerry Mummery
Journal:  J Health Commun       Date:  2013-05-06
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