Literature DB >> 21421647

Identifying population subgroups at risk for underestimating weight health risks and overestimating physical activity health benefits.

Corneel Vandelanotte1, Mitch J Duncan, Christine Hanley, W Kerry Mummery.   

Abstract

People may incorrectly perceive that their body weight or Physical Activity (PA) meets health recommendations; this provides an obstacle for change. In this study self-reported BMI and PA were assessed in relation to questions regarding perception of meeting weight and PA recommendations. Signal detection analysis was used to identify population subgroups. Study outcomes showed that 34.4 per cent of the 2535 adult participants underestimated weight health risks; low income, male participants who believed they were sufficiently active underestimated weight health risks the most (52.6%). A total of 23.7 per cent of participants overestimated PA health benefits; older age, low educated participants who did not believe their body weight was a health risk overestimated PA health benefits the most (58.3%). In conclusion, as weight and PA misperceptions are high, efforts are needed to reduce these misperceptions, so that behaviour change initiatives can be more effective.

Entities:  

Mesh:

Year:  2011        PMID: 21421647     DOI: 10.1177/1359105310390543

Source DB:  PubMed          Journal:  J Health Psychol        ISSN: 1359-1053


  8 in total

1.  Awareness of moderate-to-vigorous physical activity: can information on guidelines prevent overestimation?

Authors:  Emily C L Knox; Ian M Taylor; Stuart J H Biddle; Lauren B Sherar
Journal:  BMC Public Health       Date:  2015-04-17       Impact factor: 3.295

2.  Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults.

Authors:  Mitch J Duncan; Corneel Vandelanotte; Stewart G Trost; Amanda L Rebar; Naomi Rogers; Nicola W Burton; Beatrice Murawski; Anna Rayward; Sasha Fenton; Wendy J Brown
Journal:  BMC Public Health       Date:  2016-07-30       Impact factor: 3.295

3.  Interest and preferences for using advanced physical activity tracking devices: results of a national cross-sectional survey.

Authors:  Stephanie Alley; Stephanie Schoeppe; Diana Guertler; Cally Jennings; Mitch J Duncan; Corneel Vandelanotte
Journal:  BMJ Open       Date:  2016-07-07       Impact factor: 2.692

4.  The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial.

Authors:  Corneel Vandelanotte; Mitch J Duncan; Carol A Maher; Stephanie Schoeppe; Amanda L Rebar; Deborah A Power; Camille E Short; Christopher M Doran; Melanie J Hayman; Stephanie J Alley
Journal:  J Med Internet Res       Date:  2018-12-18       Impact factor: 5.428

5.  A cross-sectional study of low physical fitness, self-rated fitness and psychosocial factors in a sample of Finnish 18- to 64-year-old men.

Authors:  Karoliina S Kaasalainen; Kirsti Kasila; Jari Villberg; Jyrki Komulainen; Marita Poskiparta
Journal:  BMC Public Health       Date:  2013-12-01       Impact factor: 3.295

6.  Validation of Self-Reported Anthropometrics in Female College Freshmen.

Authors:  Ryan J Leone; Amy L Morgan; Mary-Jon Ludy
Journal:  Int J Exerc Sci       Date:  2016-01-15

7.  The Association Between Men's Heath Behaviors and Interest in Workplace Health Promotion.

Authors:  Cherisse L Seaton; Joan L Bottorff; Cristina M Caperchione; Steven T Johnson; John L Oliffe
Journal:  Workplace Health Saf       Date:  2019-11-13       Impact factor: 1.413

8.  How are different levels of knowledge about physical activity associated with physical activity behaviour in Australian adults?

Authors:  Sara Veronica Fredriksson; Stephanie J Alley; Amanda L Rebar; Melanie Hayman; Corneel Vandelanotte; Stephanie Schoeppe
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

  8 in total

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