Determinants of Dutch general practitioners’ nutrition and physical activity guidance practices

2012 ◽  
Vol 16 (7) ◽  
pp. 1321-1331 ◽  
Author(s):  
Sonja ME van Dillen ◽  
Gerrit J Hiddink ◽  
Cees MJ van Woerkum

AbstractObjectiveGeneral practitioners (GP) are uniquely placed to guide their patients on nutrition and physical activity. The aims of the present study were to assess: (i) the extent to which GP guide on nutrition and physical activity; (ii) the determinants that cause GP to give guidance on nutrition and physical activity; and (iii) the extent to which these guidance practices have the same determinants.DesignCross-sectional study, mail questionnaire.SettingDutch general practice.SubjectsFour hundred and seventy-two GP in practice for 5–30 years.ResultsOur study showed that the majority of GP had similar practices for both nutrition and physical activity guidance. Fair associations were found between nutrition and physical activity guidance practices. More than half of the explained variance in the models of physical activity guidance practices was improved by the inclusion of nutrition guidance practices in the models. Moreover, GP reported higher frequencies of physical activity guidance practices than nutrition guidance practices. Nutrition guidance practices predicted the same physical activity guidance practices.ConclusionsThe majority of GP had similar practices for nutrition and physical activity guidance. GP were more inclined to guide their patients on physical activity than on nutrition. Self-efficacy was found to be a determinant in most models for guidance practices. Guidance practices proved to be a mix of prevention and treatment components. Consequently, we advise raising the self-efficacy of GP by training in medical school and in continuing medical education. We also recommend the combination of both nutrition and physical activity guidance in general practice.

2019 ◽  
Vol 48 (1-2) ◽  
pp. 66-71 ◽  
Author(s):  
Belinda O'Sullivan ◽  
Deborah Russell ◽  
Matthew McGrail ◽  
Marisa Sampson ◽  
Allyson Warrington ◽  
...  

1994 ◽  
Vol 9 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Bess H. Marcus ◽  
Bernardine M. Pinto ◽  
Laurey R. Simkin ◽  
Janet E. Audrain ◽  
Elaine R. Taylor

Purpose. This study examines the utility of three theoretical models—the stages of change model, self-efficacy theory, and the decisional balance model—in understanding exercise behavior among employed women. Design. Data for this cross-sectional study were collected as part of a routine follow-up of a worksite-based smoking and health risk appraisal study. Setting. The study was conducted in three Rhode Island worksites, including one manufacturing company, one medical center, and one retail outlet. Subjects. Of a sample of 431 women who completed exercise questionnaires, 293 reported participation in a physical activity over the previous week. The average age of the sample was 41.1 years, and mean years of education was 12.8. Measures. Previously validated measures to determine stage of exercise behavior, exercise self-efficacy, exercise decisional balance, and physical activity participation were administered. Additional demographic information was also obtained. Results. Frequency counts revealed that 39% of the population was sedentary, 34% were participating in irregular activity, and 27% were active. MANOVAs followed by one way ANOVAs revealed that women in Precontemplation scored the lowest and those in Maintenance scored the highest on the self-efficacy, pro, and decisional-balance indices, with the trend reversed on the con scale. A chi-square test revealed that women with one or more young children in the home were more likely to be in a lower stage of exercise adoption. Conclusions. Most of the women in this cross-sectional study did not engage in regular activity. Presence of young children in the home was significantly related to decreased activity. The results are limited by the nonrandomized, and cross-sectional nature of the study design. Data suggest that, with multiple roles and responsibilities, women may be better served by stage-matched interventions to increase physical activity.


Public Health ◽  
2015 ◽  
Vol 129 (5) ◽  
pp. 525-530 ◽  
Author(s):  
H. Gånedahl ◽  
P. Zsaludek Viklund ◽  
K. Carlén ◽  
E. Kylberg ◽  
J. Ekberg

2020 ◽  
Vol 17 (5) ◽  
pp. 548-556
Author(s):  
Jemima C. John ◽  
Shreela V. Sharma ◽  
Deanna Hoelscher ◽  
Michael D. Swartz ◽  
Chuck Huber

Introduction: Associations across self-efficacy, social support, and multiple measures of physical activity (PA) have not been thoroughly explored in hospital employees. Methods: Validated surveys assessed psychosocial factors; the IPAQ-long assessed PA, and mixed-effects analyses examined relations between psychosocial variables and PA in 920 employees from 6 Texas hospitals. Results: At P <.05, self-efficacy was significantly associated with light (β = 1.67), moderate (β = 1.63), and vigorous (β = 2.78) leisure PA; with domestic PA (β = 1.64); and with moderate commute PA (β = 0.03). At P < .05, family social-support was significantly associated with light (β = 0.94), moderate (β = 0.63), and vigorous (β = .74) leisure PA; with moderate (β = 0.46) and vigorous (β = 1.24) occupation PA; with light (β = 0.58) and moderate (β = 0.20) commute PA; and with domestic PA (β = 1.18). At P < .05, social support from friends was significantly associated with light (β = 0.74), moderate (β = 0.58), and vigorous (β = .91) leisure PA; with moderate commute (β = 0.21); and with domestic PA (β = 0.82). Conclusion: Interventions must emphasize self-efficacy–building strategies and the role of family support to meaningfully impact PA behaviors in uniquethis unique population.


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