Correlates of accelerometry non-adherence in an economically disadvantaged minority urban adult population

Cato, Matthew; Wyka, Katarzyna; Ferris, Emily; Evenson, Kelly R.; Wen, Fang; Dorn, Joan M.; Thorpe, Lorna E.; Huang, Terry T.‐K.

doi:10.1016/j.jsams.2020.01.013

Cited by 8 publications

(12 citation statements)

References 24 publications

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“…Using similar wear time criteria, Evenson et al27 assessed accelerometer data collection in a cohort of US Hispanic adults and obtained around the same percentage of valid wears (78%).Although not in a rural community, this study also collected objective data in a hard-to-reach group, supporting the 78% of valid wears as a strong comparison for our study. Other studies using accelerometers in adult populations had similar rates of valid wears for 4 or more days of wear time, ranging from 70% to 95% 19,21,22,24.…”

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confidence: 84%

“…Given the exploratory nature or this analysis, individual factors were chosen based on what was available through the telephone survey, could potentially be associated with valid wears, or was previously assessed in studies focused on other populations. [19][20][21][22]24,[27][28][29] Participants were asked about their age (18-34 y, 35-65 y, and more than 65 y); race (White, Black or American Indian Alaska Native, or multiracial); gender (male and female); marital status (married or member of an unmarried couple, divorced, widowed, separated, or never married); living situation (with relatives or nonrelatives, alone); educational attainment (less than high school or high school, some college or Associates degree, Bachelor's degree or higher); annual household income (less than or equal to $35,000, $35,001-$75,000, $75,001-$100,000, more than $100,000); and employment type (employed and not employed).…”

Section: Methodsmentioning

confidence: 99%

“…Although vital to PA measurement, obtaining objective measures of PA can be challenging. Studies have explored barriers and facilitators to collecting objective PA data from devices including the role of health behaviors, 19,20 sociodemographic characteristics (eg, age, race, gender, ethnicity), [20][21][22] and body mass index. While this research provides insight into the challenges for objective PA data collection, little is known about the unique barriers and facilitators to collecting objective PA data from devices in rural communities, and more specifically, data collection for intervention studies conducted in rural populations.…”

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confidence: 99%

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Objective Measures of Physical Activity in Rural Communities: Factors Associated With a Valid Wear and Lessons Learned

Gilbert¹,

Beck²,

Serrano³

et al. 2022

Journal of Physical Activity and Health

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Background: Compared with urban/suburban counterparts, rural communities experience lower rates of physical activity (PA) and higher rates of chronic disease. Promoting PA is important for disease prevention but requires reliable and valid measurement of PA. However, little is known about effectively collecting objective PA data in rural communities. Using data from a cluster randomized trial (Heartland Moves), which aims to increase PA in rural Missouri, this study explored factors associated with successful objective PA data collection and presents lessons learned. Methods: Baseline survey and accelerometry data were collected through Heartland Moves (n = 368) from August 2019 to February 2021, in southeast Missouri. Chi-square and logistic regression analyses were used to explore factors (demographics, subjective PA, and SMS reminders) associated with valid wear of PA devices. Results: Overall, 77% had valid wears. Participants who were not married (odds ratio [OR] 0.48, 95% confidence interval [CI], 0.30–0.79) and those living alone (OR 0.49, 95% CI, 0.30–0.81) were less likely to have valid wears. Participants who met PA guidelines (OR 1.69, 95% CI, 1.03–2.75) or received SMS reminders (OR 3.25; 95% CI, 1.97–5.38) were more likely to have valid wears. Conclusions: Results are supported by lessons learned, including importance of communication (SMS reminders), accessing hard-to-reach groups (living alone), and need to adapt during data collection.

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confidence: 84%

Section: Methodsmentioning

confidence: 99%

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confidence: 99%

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Objective Measures of Physical Activity in Rural Communities: Factors Associated With a Valid Wear and Lessons Learned

Gilbert¹,

Beck²,

Serrano³

et al. 2022

Journal of Physical Activity and Health

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“…Although information about parks included in the Community Parks Initiative is publicly available, PARCS study participants were not explicitly told the study arm of their neighborhood site to minimize potentially influencing participants’ park use behaviors, and the preliminary average number of participants per study site at baseline was similar in the intervention and control sites (approximately 30 participants per site). In a preliminary baseline sample, 54.2% of participants reported an annual income of ≤US $20,000, and the majority were identified as Hispanic of any race (43.1%) or non-Hispanic Black (49.5%) [ 38 ]. As follow-up data collection is ongoing, retention rates are not yet known.…”

Section: Parcs Study Backgroundmentioning

confidence: 99%

Recruitment and Retention Strategies for Community-Based Longitudinal Studies in Diverse Urban Neighborhoods

Ferris¹,

Wyka²,

Evenson³

et al. 2021

JMIR Form Res

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Longitudinal, natural experiments provide an ideal evaluation approach to better understand the impact of built environment interventions on community health outcomes, particularly health disparities. As there are many participant engagement challenges inherent in the design of large-scale community-based studies, adaptive and iterative participant engagement strategies are critical. This paper shares practical lessons learned from the Physical Activity and Redesigned Community Spaces (PARCS) study, which is an evaluation of the impact of a citywide park renovation initiative on physical activity, psychosocial health, and community well-being. The PARCS study, although ongoing, has developed several approaches to improve participant engagement: building trust with communities, adapting the study protocol to meet participants’ needs and to reflect their capacity for participation, operational flexibility, and developing tracking systems. These strategies may help researchers anticipate and respond to participant engagement challenges in community-based studies, particularly in low-income communities of color.

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“…Internationalen Studien zufolge sind ein jüngeres Alter, niedrigere Schulbildung, eine subjektiv schlechter eingeschätzte funktionale und psychische Gesundheit, Tabakrauchen sowie ein höherer Body Mass Index (BMI) mit einer geringeren Adhärenz das Tragekriterium zu erfüllen assoziiert [4,6,7]. Ziel dieser Studie ist es, den internationalen Stand des Wissens um Evidenz aus Deutschland zu erweitern.…”

Section: Die Adhärenz Erwachsener An Der Bewegungsaufzeichnung üBer 7 Tage Mittels Akzelerometerunclassified

Die Adhärenz Erwachsener an der Bewegungsaufzeichnung über 7 Tage mittels Akzelerometer

et al. 2021

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Zusammenfassung Hintergrund Über den Einsatz direkter Messmethoden zur Erfassung körperlicher Aktivität bei Erwachsenen in Deutschland ist bislang wenig bekannt. Ziel Ziel der Studie ist die Beschreibung der Adhärenz und die Analyse individueller Determinanten, ein Akzelerometer über 7 Tage zu tragen. Material und Methoden In einem Einkaufszentrum wurden 365 Personen (40 bis 75 Jahre) für eine 7‑tägige Aufzeichnung ihrer körperlichen Aktivität gewonnen. Von diesen hatten 231 (63,3 %) das Gerät täglich mindestens 10 h getragen. Ergebnisse Teilnehmende in Partnerschaft trugen das Akzelerometer mit höherer Wahrscheinlichkeit entsprechend der Anweisung verglichen mit jenen ohne Partnerschaft. Schlechtere subjektive Gesundheit war mit einer geringeren Einhaltung der Anweisungen das Akzelerometer zu tragen assoziiert. Diskussion Um möglichst valide Daten über Umfang und Intensität körperlicher Aktivität zu erhalten, sollten Menschen ohne Partner und solche mit schlechterer subjektiver Gesundheit über den Tragezeitraum des Gerätes hinweg motiviert werden, es regelmäßig zu tragen.

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Correlates of accelerometry non-adherence in an economically disadvantaged minority urban adult population

Cited by 8 publications

References 24 publications

Objective Measures of Physical Activity in Rural Communities: Factors Associated With a Valid Wear and Lessons Learned

Objective Measures of Physical Activity in Rural Communities: Factors Associated With a Valid Wear and Lessons Learned

Recruitment and Retention Strategies for Community-Based Longitudinal Studies in Diverse Urban Neighborhoods

Die Adhärenz Erwachsener an der Bewegungsaufzeichnung über 7 Tage mittels Akzelerometer

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