A Prescription for Wellness: Exercise Referrals at a Federally Qualified Health Center

A Socio-Ecological Approach to Promoting Physical Activity in a Low-Income Neighborhood: A Randomized Controlled Pilot Trial

Physical activity (PA) helps prevent several diseases; however, individuals residing in low-income neighborhoods have lower PA participation rates due to social disparities, as outlined in the social-ecological model. The purpose of this pilot study was to apply the social-ecological framework to test the effectiveness of a six-month, community-based PA program in a low-income neighborhood. Participants (n = 45) lived in a low-income neighborhood near a community fitness center. Those randomized to the experimental arm (n = 23) received gym access and attended monthly on-site workshops (Months 1-3) designed to enhance PA determinants such as planning and habit formation. The remaining participants (n = 22) were assigned to a wait-listed control group. PA, body composition, and fitness data were collected using accelerometers, BODPOD, and on-site fitness assessments at baseline, Month 3, and Month 6. Compared to the control group, participants in the experimental arm engaged in more moderate-to-vigorous PA (d = .48, d = .74), total PA (d = .41, d = .99), and steps (d = .48, d = .92) at Months 3 and 6, respectively. The experimental group also showed improvements in fitness tests, including the 30-s chair test (d = .29, d = .23) and the 8-foot up-and-go test at Month 3 (d = -.23), though these gains were not sustained at Month 6. Overall, this pilot study supports the feasibility of promoting PA and improving fitness outcomes in a low-income neighborhood. Notes for improvement and future directions are provided such as tracking PA exclusively performed at the community center to better assess program impact.

The role of self-regulation strategies in physical activity behavior change: results from an exercise prescription program at a Federally Qualified Health Center

Physical activity (PA) improves quality of life and prevents chronic disease, yet many adults are inactive. Planning with health care providers in the form of exercise "prescriptions" may increase PA, but the role of individual psychosocial factors within exercise prescription programs is not well understood. Therefore, the purpose of this study is to describe the role of self-regulation strategies (e.g., goal setting, self-monitoring, reinforcements) in PA behavior change within the context of an exercise prescription program. Patients at a large, Federally Qualified Health Center with an on-site exercise facility (ie, "Wellness Center") referral were eligible to exercise with a personal fitness advisor. Self-reported PA and use of 15 self-regulation strategies were measured via survey at two time points and merged with electronic health records and attendance data. Patients (n = 151) were, on average, 50.3 ± 13.3 years and mostly female (76.8%). Almost one-third (30.5%) were Hispanic/Latino, 48.3% were non-Hispanic Black, and 20.5% were non-Hispanic white. Participants completed 10.7 ± 12.0 in-person exercise sessions with a fitness advisor. Between baseline and follow-up, the self-regulation strategies that had the largest change in frequency over time were keeping track of PA (p < 0.001), thinking about surroundings (p < 0.001), rewarding yourself for PA (p < 0.001), making PA more enjoyable (p < 0.001), setting goals (p < 0.001), and trying different kinds of PA (p < 0.001). Among exercise prescription program participants, the total self-regulation strategies score was significantly associated with physical activity at follow-up (p = 0.04). Leveraging self-regulatory skill-building activities within the context of exercise prescription programs in clinical settings may provide a personalized and multicomponent approach to PA promotion. Self-regulation strategy training for fitness advisors and/or health care providers has great potential for supporting long-term health behaviors like PA for managing chronic disease among underserved patients.

Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement

PURPOSE

Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified.

DESIGN

Longitudinal Study Within Randomized Controlled Trial.

SETTING

Online/Internet.

SAMPLE

Primary care patients (21-70 years).

INTERVENTION

ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter).

MEASURES

Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life).

ANALYSIS

General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains.

RESULTS

Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement.

CONCLUSION

Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs.

Older adults' experiences of a community wellness program (Connect 60+) that focused on physical activity and social connections: a qualitative exploratory study

BACKGROUND

Being physically active and socially connected is positively associated with healthy aging. Older adults living in the community may be at risk of social isolation and reduced physical activity, especially in recent times due to COVID-19. There are many programs that offer opportunities for evidence-based physical activity or social connection; however, there is a lack of programs that include both. The objective of this study was to explore the lived experience of older adults who participated in Connect 60+ - a program that promoted exercise and social activities - delivered from a community hub that could be attended either in person or online.

METHODS

A qualitative study that used descriptive phenomenology was conducted. A purposive sample of 13 older adults (age ≥65years) was recruited to take part in semistructured telephone interviews to discuss barriers and enablers to program engagement. Data were analysed using thematic analysis.

RESULTS

The overarching theme was that participating in Connect 60+ was an enjoyable and encouraging experience for participants. The program enabled them to increase their physical activity and build social connections within their community. The main themes that enabled engagement were: (1) an enabling program design, (2) developing new connections in the community, and (3) experiencing motivation to engage. A few barriers were identified, including difficulties connecting online and lack of male attendance.

CONCLUSIONS

Wellness programs delivered in community hubs may facilitate older adults to increase their engagement in both physical and social activity. The program appeared to impact positively on participants' motivation, with some participants reporting that they had sustained their behaviour changes since program completion. To address identified barriers, easy to use online technology is recommended, and strategies to promote male attendance.

Factors Affecting Engagement of Older Adults in Exercise Following Hospitalization

BACKGROUND AND PURPOSE

Exercise interventions can improve physical recovery and reduce falls in older adults following hospitalization. The aim of the study was to identify factors associated with exercise engagement after hospital discharge.

METHODS

This study was a secondary analysis of data collected as part of a randomized controlled trial. Participants were 60 years and older, discharged from 3 rehabilitation hospitals in Australia, and followed for 6 months after discharge. The primary outcome was level of engagement in exercise after discharge, measured using setting, type, frequency, and time. A secondary outcome was self-efficacy for exercise at 6-month follow-up. Data were gathered at baseline in hospital and at 6 months after discharge by telephone using structured surveys. Associations between exercise and participant characteristics were evaluated using logistic regression models.

RESULTS AND DISCUSSION

Participants' (n = 292) mean age was 78 (SD 8) years and 63% were female. There were 146 (50%) who exercised after hospitalization for a median (interquartile range) time of 60 (60-75) minutes per week. Characteristics that were significantly associated with post-discharge engagement in exercise were having higher levels of functional ability at discharge (adjusted odds ratio [AOR] 1.2, 95% CI 1.0, 1.4), living with a partner (AOR 2.9, 95% CI 1.7, 4.9), and engagement in exercise prior to hospital admission (AOR 1.7, 95% CI 1.0, 2.8). The mean self-efficacy for exercise score at 6 months post-discharge was 58.5/90 (SD 24.5). Characteristics that were significantly predictive of a higher mean self-efficacy score at 6 months after hospitalization were having a college or university education (adjusted β-coefficient [Adj β] 11.5, 95% CI 3.8, 19.0), exercise prior to hospital admission (Adj β 12.3, 95% CI 5.1, 19.5), living with a partner at discharge (Adj β 14.5, 95% CI 7.1, 21.9), and higher functional ability at discharge (Adj β 4.0, 95% CI 1.9, 6.1).

CONCLUSION

Older adults have low levels of engagement in exercise that might impact their recovery after hospitalization. During exercise prescription, clinicians should prioritize older adults who live alone, who have lower functional ability, and no previous habit of exercising.

Telephone-based support for physical activity: Results and lessons learned during the COVID-19 pandemic

Physical activity is essential to maintain physical and mental well-being. During the COVID-19 pandemic, in-person physical activity opportunities were limited. This paper describes a telephone-based physical activity support strategy among racially/ethnically diverse patients during the COVID-19 pandemic. Adult patients at a large, Federally Qualified Health Center with an on-site exercise facility referral were eligible to transition to telephone support with personal fitness advisors during the pandemic stay-at-home orders. Baseline surveys assessed physical activity and environmental characteristics; follow-up phone calls used motivational interviewing and physical activity goal setting strategies. From March 23-July 23, 2020, 72 patients participated in 270 phone calls, or 3.8 (±2.1) calls per participant. Participants were, on average, aged 51.3 (±11.6) years, 87.5% female, 31.9% Hispanic/Latino, and 47.2% non-Hispanic Black. Patients meeting physical activity guidelines pre-pandemic reported more planned exercise (100.0% vs. 55.3%; p<0.001), exercise days at home (5.0 vs. 1.7; p<0.001), and accomplishment of personal physical activity goals (57.0% vs. 39.7%; p = 0.11) than patients not meeting guidelines pre-pandemic. Patients with a home treadmill participated in twice the rate of calls compared to those without (RR = 2.22; 95%CI:1.35,3.64), but no other home environmental characteristics predicted participation rate. Pre-pandemic physical activity behavior appeared to predict pandemic physical activity and telephone-based physical activity support was effective for maintaining physical activity for some participants. Long term applications of this work will support continuity of clinic-community partnerships for health behavior change and provide a model for patient physical activity support by community health centers without on-site exercise facilities.