Who participates in physical activity intervention trials?

Waters, L.; Galichet, B.; Owen, Neville; Eakin, Elizabeth G.

doi:10.1016/j.jsams.2009.10.160

Cited by 14 publications

(18 citation statements)

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“…Substantial numbers of eligible people did not participate in the interventions, however those who are eligible but do not volunteer, or who volunteer but do not provide data may be different from those who participate. Trial participants are less likely to be male, current smokers or within the lowest quartile of SES than non-participants or defaulters (Chinn et al, 2006;Waters et al, 2011). Thus, our quantitative review findings may not necessarily be representative of the hardest-to-reach low-SES groups.…”

Section: Strengths and Limitationsmentioning

confidence: 90%

“…Those in low-SES groups are more likely to have higher levels of obesity, an unhealthy diet and be physically inactive, putting them more at risk of developing diabetes and pre-diabetes (Cleland et al, 2012a;Diabetes UK, 2006;National Institute for Health and Clinical Excellence, 2011) and other chronic conditions. Intervention participants, however, tend to be from less deprived backgrounds than non-participants (Chinn et al, 2006;Waters et al, 2011), suggesting that interventions aimed specifically at low-SES groups might be useful for reaching these people.…”

Section: Introductionmentioning

confidence: 99%

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Community-based dietary and physical activity interventions in low socioeconomic groups in the UK: A mixed methods systematic review

Everson-Hock

Johnson

Jones

et al. 2013

Preventive Medicine

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Section: Strengths and Limitationsmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Community-based dietary and physical activity interventions in low socioeconomic groups in the UK: A mixed methods systematic review

Everson-Hock

Johnson

Jones

et al. 2013

Preventive Medicine

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“…Second, interventions that target PA either specifically, or as part of a theorydriven multicomponent health initiative, are more likely to be effective at changing PA behavior (Abraham & Graham-Rowe, 2009). Finally, most workplace PA intervention studies tend to include men and women, with more women than men volunteering to participate in trials (Waters et al, 2011). Interventions are needed that specifically target men through consultation at the preintervention and planning phase.…”

Section: Discussionmentioning

confidence: 99%

The Effects of Workplace Physical Activity Interventions in Men

et al. 2012

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The workplace is cited as a promising setting for physical activity (PA) promotion, but workplace PA interventions tend not to specifically target men. The aim of this article was to review the literature on workplace PA interventions for men and to identify key issues for future intervention development. Articles targeting PA at the workplace were located through a structured database search. Information on intervention strategies and PA outcomes were extracted. Only 13 studies (10.5%) reviewed focused on men, of which 5 showed significant increases in PA. These studies used generic, multicomponent, health promotion strategies with a variety of timeframes, self-report PA measures, and PA outcomes. The systematic review identified that evidence on the effectiveness of workplace PA interventions for men is equivocal and highlighted methodological concerns. Future research should use reliable and valid measures of PA and interventions that focus specifically on men's needs and PA preferences.

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“…For example, approximately 48% of males are not sufficiently physically active and most males do not meet the recommended intake levels of fruit (54%), vegetables (85%), low-fat dairy (63%), or foods containing high levels of saturated fat and sugar (70%) [3-5]. Males are also less likely to participate in behavioral and information technology (IT)-based interventions compared to females [6-8]. In addition, many males have low levels of health literacy, which is the ability to understand and process health information and use this to assist in changing behaviors [9-11].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study

Duncan¹,

Vandelanotte²,

Kolt³

et al. 2014

J Med Internet Res

137

250

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BackgroundThe high number of adult males engaging in low levels of physical activity and poor dietary practices, and the health risks posed by these behaviors, necessitate broad-reaching intervention strategies. Information technology (IT)-based (Web and mobile phone) interventions can be accessed by large numbers of people, yet there are few reported IT-based interventions targeting males’ physical activity and dietary practices.ObjectiveThis study examines the effectiveness of a 9-month IT-based intervention (ManUp) to improve the physical activity, dietary behaviors, and health literacy in middle-aged males compared to a print-based intervention.MethodsParticipants, recruited offline (eg, newspaper ads), were randomized into either an IT-based or print-based intervention arm on a 2:1 basis in favor of the fully automated IT-based arm. Participants were adult males aged 35-54 years living in 2 regional cities in Queensland, Australia, who could access the Internet, owned a mobile phone, and were able to increase their activity level. The intervention, ManUp, was based on social cognitive and self-regulation theories and specifically designed to target males. Educational materials were provided and self-monitoring of physical activity and nutrition behaviors was promoted. Intervention content was the same in both intervention arms; only the delivery mode differed. Content could be accessed throughout the 9-month study period. Participants’ physical activity, dietary behaviors, and health literacy were measured using online surveys at baseline, 3 months, and 9 months.ResultsA total of 301 participants completed baseline assessments, 205 in the IT-based arm and 96 in the print-based arm. A total of 124 participants completed all 3 assessments. There were no significant between-group differences in physical activity and dietary behaviors (P≥.05). Participants reported an increased number of minutes and sessions of physical activity at 3 months (exp(β)=1.45, 95% CI 1.09-1.95; exp(β)=1.61, 95% CI 1.17-2.22) and 9 months (exp(β)=1.55, 95% CI 1.14-2.10; exp(β)=1.51, 95% CI 1.15-2.00). Overall dietary behaviors improved at 3 months (exp(β)=1.07, 95% CI 1.03-1.11) and 9 months (exp(β)=1.10, 95% CI 1.05-1.13). The proportion of participants in both groups eating higher-fiber bread and low-fat milk increased at 3 months (exp(β)=2.25, 95% CI 1.29-3.92; exp(β)=1.65, 95% CI 1.07-2.55). Participants in the IT-based arm were less likely to report that 30 minutes of physical activity per day improves health (exp(β)=0.48, 95% CI 0.26-0.90) and more likely to report that vigorous intensity physical activity 3 times per week is essential (exp(β)=1.70, 95% CI 1.02-2.82). The average number of log-ins to the IT platform at 3 and 9 months was 6.99 (SE 0.86) and 9.22 (SE 1.47), respectively. The average number of self-monitoring entries at 3 and 9 months was 16.69 (SE 2.38) and 22.51 (SE 3.79), respectively.ConclusionsThe ManUp intervention was effective in improving physical activity and dietary behaviors in middle-aged males with no ...

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Who participates in physical activity intervention trials?

Cited by 14 publications

References 0 publications

Community-based dietary and physical activity interventions in low socioeconomic groups in the UK: A mixed methods systematic review

Community-based dietary and physical activity interventions in low socioeconomic groups in the UK: A mixed methods systematic review

The Effects of Workplace Physical Activity Interventions in Men

Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study

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