Als and the relationship between OPA and LTPA across select racial or ethnic groups and Latino subgroups. Methods: We pooled data from 2000 to 2003 of the National Health Interview Survey. We divided the survey participants into three groups: 1) those with no LTPA, 2) those who reported some LTPA but not for sufficient time and intensity to meet recommended guidelines, and 3) those who reported LTPA at levels that met or exceeded recommendations. We used ordinal logistic regression to examine whether NLB and Latinos or Latino subgroups were less likely to report LTPA than NLW while controlling for social, economic, and demographic factors that may have accounted for group differences. We further examined the prevalence of OPA and the relationship between LTPA and OPA. Results: Among employed individuals, NLB and Latinos had significantly more individuals reporting no LTPA compared with NLW. Latinos had the greatest proportion of individuals reporting no LTPA. Furthermore, it was found that significantly more Latinos had physically active occupations compared with NLB and NLB compared with NLW, respectively. Among employed Latinos, Cubans and Dominicans were most likely to report no LTPA, and Mexicans had the greatest percentage of workers with a physically active occupation. LTPA was not significantly associated with having a physically active occupation across races and Latino subgroups. Conclusions: Participation in LTPA among ethnic or racial minorities is lower than that of NLW, and the OPA rates are higher. OPA does not significantly impact participation in LTPA in employed adults....

Consumer-based physical activity (PA) trackers, also known as wearables, are increasingly being used in research studies as intervention or measurement tools. One of the most popular and widely used brands of PA trackers is Fitbit. Since the release of the first Fitbit in 2009, hundreds of experimental studies have used Fitbit devices to facilitate PA self-monitoring and behavior change via goal setting and feedback tools. Fitbit’s ability to capture large volumes of PA and physiological data in real time creates enormous opportunities for researchers. At the same time, however, it introduces a number of challenges (eg, technological, operational, logistical), most of which are not sufficiently described in study publications. Currently, there are no technical reports, guidelines, nor other types of publications discussing some of these challenges and offering guidance to researchers on how to best incorporate Fitbit devices in their study design and intervention to achieve their research goals. As a result, researchers are often left alone to discover and address some of these issues during the study through “trial and error.” This paper aims to address this gap. Drawing on our cumulative experience of conducting multiple studies with various Fitbit PA trackers over the years, we present and discuss various key challenges associated with the use of Fitbit PA trackers in research studies. Difficulties with the use of Fitbit PA trackers are encountered throughout the entire research process. Challenges and solutions are categorized in 4 main categories: study preparation, intervention delivery, data collection and analysis, and study closeout. Subsequently, we describe a number of empirically tested strategies used in 4 of our interventional studies involving participants from a broad range of demographic characteristics, racial/ethnic backgrounds, and literacy levels. Researchers should be prepared to address challenges and issues in a timely fashion to ensure that the Fitbit effectively assists participants and researchers in achieving research and outcome goals.

Structural and social determinants of health (SSDoH) are environmental conditions in which individuals are born, live, learn, work, play, worship, and age that affect health, functioning, and quality-of-life outcomes across the life course. Growing evidence suggests that SSDoH can help to explain heterogeneity in outcomes in Alzheimer’s disease and Alzheimer’s disease and related dementias (AD/ADRD) research and clinical practice. The National Institute on Aging has prioritized collecting SSDoH data to elucidate disease mechanisms and aid discovery of disease-modifying treatments. However, a major nexus of AD/ADRD research, the national network of Alzheimer’s Disease Research Centers (ADRCs), collects few SSDoH data. We describe a framework for feasibly gathering and modeling SSDoH data across ADRCs. We lay out key constructs, their measures, and empirical evidence for their importance in elucidating disease and prevention mechanisms. Toward a goal of translation, the framework proposes a modular structure with a core set of measures and options for adjunctive modules. We describe considerations for measuring SSDoH in existing geographically and culturally diverse research cohorts. We also outline a rationale for universal implementation of a set of SSDoH measures and juxtapose the approach with alternatives aimed at collecting SSDoH data.

Exercise during pregnancy has been associated with reduced risk of gestational diabetes mellitus, however, twice as many women are sedentary during pregnancy as compared to when they are not pregnant. We conducted 3 focus groups among 20 pregnant Latina and non-Latina white women to identify barriers and facilitators to exercise in pregnancy to inform a gestational diabetes mellitus intervention study. Quantitative analyses of demographic data, and qualitative analyses of focus groups were conducted. Women identified physical limitations and restrictions, lack of resources, energy, and time as powerful exercise barriers. Social support, access to resources, information, proper diet, scheduling, and the weather were identified as powerful facilitators. Intervention programs designed for pregnant women should facilitate social support, provide information and resources, as well as promote short-term and long-term benefits.

The Rush Alzheimer’s Disease Center (RADC) conducts 5 harmonized prospective clinical-pathologic cohort studies of aging – with 1 study, the Latino Core, focused exclusively on Latinxs, 2 studies consisting of mostly non-Latinx whites, and 2 studies of mostly non-Latinx blacks. This paper contextualizes the Latino Core within the other 4 harmonized RADC cohort studies. The overall aim of the paper is to provide information from the RADC, so that researchers can learn from our participants and procedures to better advance the science of Alzheimer’s disease and related dementias in Latinxs. We describe an annual clinical evaluation that assesses risk factors for Alzheimer’s dementia among older adults without known dementia at enrollment. As all RADC cohort studies offer brain donation as a part of research participation, we discuss our approach to brain donation and subsequent participant decision-making among older Latinxs. We also summarize baseline characteristics of older Latinxs across the 5 RADC cohort studies in relation to the baseline characteristics of non-Latinx blacks and non-Latinx whites. Finally, we outline challenges and considerations as well as potential next steps in cognitive aging research with older Latinxs.