Physical activity goals among patients in a primary care setting

2019 ◽  
Vol 10 (3) ◽  
pp. 792-800
Author(s):  
Tonya Dodge ◽  
Deepti Joshi ◽  
Saud Abaalkhail ◽  
Brad Moore
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Weight Loss ◽  
Racial Differences ◽  
Stress Reduction ◽  
Care Setting ◽  
Primary Care Setting ◽  
Weight Maintenance ◽  
Primary Care Patients ◽  
Maintenance Goals

Abstract One approach to increasing physical activity (PA) among adults is to develop interventions targeting PA goals that could be implemented in the primary care setting. However, there is little understanding of the types of goals that individuals bring with them into the primary care setting, which is a necessary first step in building interventions. There were three objectives of the study. One was to identify the types of PA goals held by primary care patients. Another was to examine whether there were racial differences among types of PA goals held by primary care patients. A final objective was to examine the relationship between PA goals and PA behaviors (e.g., meet PA guidelines, number of breaks taken from PA routine). Adults (N = 626; Mage = 51.47, SD = 16.32) were recruited from the waiting room of a primary care clinic over a 30-day span to complete a questionnaire on PA and goals. The most commonly endorsed PA goals included, weight maintenance, overall health benefits, weight loss, well-being, body tone and/or shape, stress reduction, cardiovascular health, and energy level. Black patients were more likely than White patients to report weight loss and weight maintenance goals. Weight maintenance, overall health, and stress reduction are the goals for which the greatest percentage of individuals reported meeting aerobic PA guidelines. Finally, number of breaks taken and average length of breaks were similar across type of PA goal. A relatively small number of goals reflected a majority of the goals pursued by participants in this study. Racial differences in adoption of weight loss and weight maintenance goals highlight the need for further investigation into such differences. Finally, future research should consider the role that goal setting plays in PA adherence, paying particular attention to disparate levels of PA across racial groups.

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

Racial Differences in the Prevalence of Restless Legs Syndrome in a Primary Care Setting

2014 ◽  
Vol 42 (3) ◽  
pp. 131-137 ◽  
Author(s):  
Ammar Alkhazna ◽  
Anwaar Saeed ◽  
Wahid Rashidzada ◽  
Ann M. Romaker
Keyword(s):  
Primary Care ◽  
Racial Differences ◽  
Restless Legs Syndrome ◽  
Care Setting ◽  
Primary Care Setting ◽  
Restless Legs

scholarly journals Risk factors for a positive SARS-CoV-2 PCR in patients with common cold symptoms in a primary care setting – a retrospective analysis based on a joint documentation standard

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Johannes Just ◽  
Marie-Therese Puth ◽  
Felix Regenold ◽  
Klaus Weckbecker ◽  
Markus Bleckwenn
Keyword(s):  
Primary Care ◽  
Common Cold ◽  
Odds Ratio ◽  
Care Setting ◽  
Primary Care Setting ◽  
False Negative ◽  
First Grade ◽  
Cross Sectional ◽  
Policy Makers ◽  
Primary Care Patients

Abstract Background Combating the COVID-19 pandemic is a major challenge for health systems, citizens and policy makers worldwide. Early detection of affected patients within the large and heterogeneous group of patients with common cold symptoms is an important element of this effort, but often hindered by limited testing resources, false-negative test results and the lack of pathognomonic symptoms in COVID-19. Therefore, we aimed to identify anamnestic items with an increased/decreased odds ratio for a positive SARS-CoV-2 PCR (CovPCR) result in a primary care setting. Methods We performed a multi-center cross-sectional cohort study on predictive clinical characteristics for a positive CovPCR over a period of 4 weeks in primary care patients in Germany. Results In total, 374 patients in 14 primary care centers received CovPCR and were included in this analysis. The median age was 44.0 (IQR: 31.0–59.0) and a fraction of 10.7% (n = 40) tested positive for COVID-19. Patients who reported anosmia had a higher odds ratio (OR: 4.54; 95%-CI: 1.51–13.67) for a positive test result while patients with a sore throat had a lower OR (OR: 0.33; 95%-CI: 0.11–0.97). Furthermore, patients who had a first grade contact with an infected persons and showed symptoms themselves also had an increased OR for positive testing (OR: 5.16; 95% CI: 1.72–15.51). This correlation was also present when they themselves were still asymptomatic (OR: 12.55; 95% CI: 3.97–39.67). Conclusions Several anamnestic criteria may be helpful to assess pre-test probability of COVID-19 in patients with common cold symptoms.

Efficacy of Using Physical Activity Mentors to Increase the Daily Steps of Older Adults in the Primary Care Setting: A Pilot Study

2014 ◽  
Vol 22 (1) ◽  
pp. 16-24 ◽  
Author(s):  
Karen A. Croteau ◽  
Vijiayurani Suresh ◽  
Elanna Farnham
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Primary Care ◽  
Pilot Study ◽  
Repeated Measures ◽  
Care Setting ◽  
Primary Care Setting ◽  
Chronic Illnesses ◽  
Main Effects

The purpose of this pilot study was to determine if using physical activity (PA) mentors has any additional impact on daily steps of older adults participating in the Maine in Motion (MIM) program in the primary care setting. Participants were randomly assigned to a MIM-only group (n= 14) or a MIM+ mentor group (n= 14). The MIM intervention lasted 6 months with follow-up at 12 months. Average age of participants was 64 ± 8.8 years and most participants had multiple chronic illnesses. At baseline, mean body mass index (BMI) was 32.2 ± 5.1 and average daily steps were 4,236 ± 2,266. Repeated-measures ANOVA revealed significant main effects for steps,F(2.324, 59.104) = 4.168,p= .015, but no main effects for group,F(1, 25) = 2.988,p= .096, or time-by-group interaction,F(2.324, 59.104) = 0.905,p= .151. All participants significantly increased daily steps over the course of the intervention, with MIM+ participants maintaining increases at follow-up. No significant findings were found for BMI.

Depression in Primary Care—More like Asthma Than Appendicitis: The Michigan Depression Project

1997 ◽  
Vol 42 (9) ◽  
pp. 966-973 ◽  
Author(s):  
Michael S Klinkman ◽  
Thomas L Schwenk ◽  
James C Coyne
Keyword(s):  
Social Support ◽  
Primary Care ◽  
Health Care ◽  
Health Care Utilization ◽  
Family Practice ◽  
Care Setting ◽  
Primary Care Setting ◽  
Past History ◽  
Care Utilization ◽  
Primary Care Patients

Objective: To explore the relationships between detection, treatment, and outcome of depression in the primary care setting, based upon results from the Michigan Depression Project (MDP). Methods: A weighted sample of 425 adult family practice patients completed a comprehensive battery of questionnaires exploring stress, social support, overall health, health care utilization, treatment attitudes, self-rated levels of stress and depression, along with the Center for Epidemiologic Studies Depression Scale (CES-D), the Hamilton Rating Scale for Depression (HAM-D), and the Structured Clinical Interview for DSM-III (SCID), which served as the criterion standard for diagnosis. A comparison sample of 123 depressed psychiatric outpatients received the same assessment battery. Family practice patients received repeated assessment of depressive symptoms, stress, social support, and health care utilization over a period of up to 60 months of longitudinal follow-up. Results: The central MDP findings confirm that significant differences in past history, severity, and impairment exist between depressed psychiatric and family practice patients, that detection rates are significantly higher for severely depressed primary care patients, and that clinicians use clinical cues such as past history, distress, and severity of symptoms to “detect” depression in patients at intermediate and mild levels of severity. As well, there is a lack of association between detection and improved outcome in primary care patients. Conclusion: These results call into question the assumption that “depression is depression” irrespective of the setting and physician, and they are consistent with a model of depressive disorder as a subacute or chronic condition characterized by clinical parameters of severity, staging, and comorbidity, similar to asthma. This new model can guide further investigation into the epidemiology and management of mood disorders in the primary care setting.

The effect of a primary care-based Medical Weight Loss Program on weight loss and anthropomorphic metrics

2020 ◽  
Author(s):  
Vivienne A Rose ◽  
Elena N Klyushnenkova ◽  
Min Zhang ◽  
Verlyn O Warrington
Keyword(s):  
Primary Care ◽  
Weight Loss ◽  
Care Setting ◽  
Primary Care Practice ◽  
Primary Care Setting ◽  
Weight Loss Program ◽  
Care Practice ◽  
Control Group ◽  
Baseline Weight ◽  
Medical Weight Loss

Abstract Background Diet and lifestyle intervention programs have been shown to be effective in decreasing obesity/overweight and many associated comorbidities in specialty research settings. There is very little information however as to the efficacy of such programs conducted in usual/typical primary care practices. We analysed effectiveness of the Medical Weight Loss Program (MWLP) designed to specifically address overweight/obesity in the setting of an urban academic primary care practice. Objective To determine whether participation in the MWLP within a general primary care setting can result in weight loss. Methods A retrospective medical chart review of patients treated in MWLP and a control group of patients with obesity receiving regular care in the general primary care setting. From the practice database (1 April 2015–31 March 2016), 209 patients (≥18 years old) who participated in the MWLP were identified; 265 controls were selected from the remaining population based on the presence of the obesity-related diagnoses. Results MWLP patients lost on average 2.35 ± 5.88 kg in 6 months compared to their baseline weight (P < 0.0001). In contrast, the control group demonstrated a trend of gaining on average 0.37 ± 6.03 kg. Having three or more visits with the MWLP provider within 6 months after program initiation was the most important factor associated with successful loss of at least 5% of the baseline weight. Weight loss also correlated with a decrease in abdominal girth. Conclusion MWLP integrated into the general primary care practice may potentially be an effective model for managing obesity and related morbidities.

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