scholarly journals A qualitative exploration of the experiences of primary care patients engaged in email counseling meant to increase physical activity

Acta Gymnica ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 75-82
Author(s):  
Tomas Vetrovsky ◽  
Klaudia Vetrovska ◽  
Vaclav Bunc
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Email Counseling ◽  
Primary Care Patients ◽  
Qualitative Exploration

A telehealth intervention to promote weight loss and physical activity in overweight primary care patients

Healthcare ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 100509
Author(s):  
Ian Hurst ◽  
Paul J. Bixenstine ◽  
Carlos Casillas ◽  
Anna Rasmussen ◽  
Sondra Grossman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Weight Loss ◽  
Promote Weight Loss ◽  
Telehealth Intervention ◽  
Primary Care Patients

scholarly journals FACTORS ASSOCIATED WITH THE PRACTICE OF PHYSICAL ACTIVITY IN OLDER DIABETIC PRIMARY CARE PATIENTS

2020 ◽  
Vol 14 (1) ◽  
pp. 61-70
Author(s):  
Renata Muniz Freire Vinhal Siqueira Jardim ◽  
◽  
Márcia Carréra Campos Leal ◽  
Ana Paula de Oliveira Marques ◽  
Laís Sousa Barbosa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Factors Associated ◽  
Primary Care Patients

Effects of Self-Monitoring Physical Activity Using Technology in Primary Care: A Pilot Intervention

2021 ◽  
Vol 14 (2) ◽  
pp. 155-161
Author(s):  
Wanda L. Csaky ◽  
Louise H. Knox ◽  
Ashley Helvig Coombe ◽  
Tamara Tanner ◽  
Angela Haynes-Ferere ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Negative Relationship ◽  
Smartphone App ◽  
Obese Adult ◽  
Self Monitoring ◽  
Gradual Improvement ◽  
Strong Negative Relationship ◽  
Primary Care Patients ◽  
Pilot Intervention

BackgroundPhysical activity (PA) is a primary factor in reducing the risk of chronic diseases, yet only half of U.S. adults meet recommended levels.ObjectiveTo evaluate a PA self-monitoring pilot intervention using technology in obese adult primary care patients.MethodsThe project had a prospective, single group, pretest/posttest design using an accelerometer with a smartphone app. Obese adult primary care patients (N = 31) were followed over 6 months. Demographic (age, race, sex, marital status, educational level) and PA-relevant (PA, body mass index [BMI], self-efficacy for exercise [SEE]) data were collected at enrollment. PA and BMI were recorded monthly for 6 months. SEE was reassessed at 6 months.ResultsPA and BMI showed gradual improvement; however, changes in PA (p = .130), BMI (p = .326), and SEE (p = .877) at 6 months were not statistically significant. A strong, negative relationship was found between PA and BMI (r = −.727, p < .01). Anecdotal data indicated the smartphone app was acceptable to patients.ConclusionsData-supported clinician-initiated PA self-monitoring with a smartphone app was acceptable and showed favorable trends in improving PA and BMI in obese adult patients.Implications for NursingPrescribing PA self-monitoring using technology may be easily implemented.

scholarly journals Correlates, facilitators and barriers of physical activity among primary care patients with prediabetes in Singapore – a mixed methods approach

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Raymond Boon Tar Lim ◽  
Wei Keong Wee ◽  
Wei Chek For ◽  
Jayalakshmy Aarthi Ananthanarayanan ◽  
Ying Hua Soh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Mixed Methods ◽  
Peer Influence ◽  
Vigorous Physical Activity ◽  
Family Members ◽  
Well Being ◽  
Primary Care Patients ◽  
Facilitators And Barriers ◽  
Barriers To Physical Activity

Abstract Background Primary care patients with prediabetes is a priority group in the clinical, organisational and policy contexts. Engaging in regular physical activity is crucial to prevent diabetes for this group. The objectives of the study were to assess factors associated with meeting the recommendation of at least 150 min of moderate/vigorous physical activity weekly, and to explore facilitators and barriers related to the behaviour among primary care patients with prediabetes in Singapore. Methods This was a mixed methods study, consisting of a cross-sectional survey involving 433 participants from 8 polyclinics, and in-depth interviews with 48 of them. Adjusted prevalence ratios (aPR) were obtained by mixed effects Poisson regression model. The socio-ecological model (SEM) was applied, and thematic analysis performed. Results The prevalence of meeting the recommendation was 65.8%. This was positively associated with being male (aPR 1.21, 95%CI 1.09–1.34), living in 4–5 room public housing (aPR 1.19, 95%CI 1.07–1.31), living in executive flat/private housing (aPR 1.26, 95%CI 1.06–1.50), having family members/friends to exercise with (aPR 1.57, 95%CI 1.38–1.78); and negatively associated with a personal history of osteoarthritis (aPR 0.75, 95%CI 0.59–0.96), as well as time spent sitting or reclining daily (aPR 0.96, 95%CI 0.94–0.98). The recurrent themes for not meeting the recommendation included lacking companionship from family members/friends, medical conditions hindering physical activity (particularly osteoarthritis), lacking knowledge/skills to exercise properly, “no time” to exercise and barriers pertaining to exercise facilities in the neighbourhood. The recurrent themes for meeting the recommendation included family/peer influence, health/well-being concerns and education by healthcare professionals. Conclusions Much more remains to be done to promote physical activity among primary care patients with prediabetes in Singapore. Participants reported facilitators and barriers to physical activity at different levels of the SEM. Apart from the individual and interpersonal levels, practitioners and policy makers need to work together to address the organisational, community and policy barriers to physical activity.

Telephone Counseling for Physical Activity and Diet in Primary Care Patients

2009 ◽  
Vol 36 (2) ◽  
pp. 142-149 ◽  
Author(s):  
Elizabeth Eakin ◽  
Marina Reeves ◽  
Sheleigh Lawler ◽  
Nick Graves ◽  
Brian Oldenburg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Telephone Counseling ◽  
Primary Care Patients
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