Current Physical Activity Research Articles

Sarcopenia, physical activity and sedentary behavior among nursing home residents in Germany

Residents in nursing homes show a high prevalence of the musculoskeletal syndrome sarcopenia and tend not to achieve current physical activity recommendations. The aim of this study is to identify differences in physical activity and sedentary behavior of sarcopenic residents compared with nonsarcopenic and presarcopenic residents. Sarcopenia assessment was performed among 63nursing home residents in Baden-Wuerttemberg (D) using the European Working Group on Sarcopenia in Older People2 specifications. Structured activity sessions (per week), accelerometer-based physical activity (steps/day), and sedentary behavior (percentual/day) were examined. The group comparisons were determined with Kruskal-Wallis tests and Dunn-Bonferroni post hoc tests. Significant differences were found for number of steps (p = 0.005) and percentual sedentary behavior (p = 0.019). Moreover, steps per day presented significant results in group comparison for no sarcopenia (2824.4 [423-14275]) with probable sarcopenia (1703.9 [118-5663]) and confirmed/severe sarcopenia (1571.2 [240-2392]) (both p = 0.022; |r| = 0.34). Sedentary behavior demonstrated significant differences in groups with no sarcopenia (87.9% [69.1-94.3]) and with probable sarcopenia (91.7% [80.4-9835]) (p = 0.018; |r| = 0.35). Nonsarcopenic residents demonstrated ahigher number of steps and lower sedentary behavior compared with presarcopenic and sarcopenic residents. Increasing steps, reducing sedentary behavior and promoting activities of daily living can contribute to the prevention and treatment of sarcopenia in the nursing home setting.

Community and Organizational Readiness to Adopt a Physical Activity Intervention in Micropolitan Settings.

Assessing community and organizational readiness is key to successfully implementing programs. The purpose of this study was to assess the baseline readiness of micropolitan communities to adopt an evidence-based physical activity (PA) intervention by exploring three dimensions: (1) attitudes and current efforts toward prevention, (2) community and organizational climate that facilitates (or impedes) change, and (3) capacity to implement change. Data were collected from community leaders in 14 communities through an online survey in June 2021 (n = 149). Data were analyzed in aggregate using descriptive statistics for multiple-choice responses and content analysis for open ended responses. One-way repeated analyses of variance were used to compare mean score differences. In reference to their attitudes prior to the pandemic, respondents said that addressing PA was "somewhat a priority" in their professional positions (M = 2.01, SD = 0.94), their organizations (M = 2.08, SD = 0.91), and their communities (M = 2.28, SD = 0.88). Current PA efforts included statewide initiatives, community sponsored events/clubs, and youth sports leagues. The community climate included both PA facilitators (mainly outdoor PA resources) and barriers (cost, lack of social services, and an unsupportive PA environment). Individual-level capacity (M = 2.94; SD = 1.21) to adopt a PA program was regarded lower than the community's capacity (M = 3.95; SD = 0.82), and perceptions of capacity at the community level improved even more if technical assistance (M = 3.96; SD = 0.84) or financial support (M = 4.12; SD = 0.80) were provided. Readiness varied by dimension, suggesting the need for tailored implementation supports including technical assistance and financial support.

Novel Human Activity Recognition and Recommendation Models for Maintaining Good Health of Mobile Users

With the continuous improvement of the living standard, people have changed their concept from disease treatment to health management. However, most of the current health management software makes recommendations based on users’ static information, with low updating frequency. The effect of targeted suggestions becomes weak with time, and it is hard for the recommendation effect to be satisfactory. Based on the use of smartphones for recognizing human activities in real-time, firstly, a novel 'CNN+GRU' model is proposed in this paper, utilizing both convolutional neural networks (CNNs) and gated recurrent units (GRUs). 'CNN+GRU' can improve the recognition speed and extract the features in sensor data more accurately by achieving in the conducted experiments an average accuracy of 91.27%, thus outperforming other models compared. Secondly, another model, named SimilRec, is proposed for physical activity recommendation to users based on their health profile, the similarities between their current physical activity sequence, and the historical physical activity sequence of other (similar) users.

Physical Activity Levels of University of Cyberjaya Students During Pandemic

Introduction: Numerous studies show that physical activity levels were much lower during the Covid-19 pandemic. Hence, it's essential to study the present trend in the amount of physical activity among university students in UOC during the Covid-19 outbreak and to ascertain how sociodemographic characteristics relate to physical activity among UOC students. Objective: The objective was to analyze the current trend of physical activity level and to compare the physical activity level between students of different faculties of university students in UoC with different sociodemographic. Methods: This is a cross-sectional study involving 416 students at University of Cyberjaya, aged between 18 to 30 years. A Google Form questionnaire based on International Physical Activity Questionnaire – Short Form (IPAQ-SF) was distributed via various social media platforms and saved contacts. Results: Most respondents, 51%, are classified as "Moderate" in terms of physical activity level. The "Low" group accounted for 31% of answers, indicating that a significant proportion of students engage in relatively modest levels of physical exercise. In contrast, the "High" group includes 18% of responses, showing that a significant fraction of students is actively participating in greater levels of physical activity. Conclusion: In summary, among students in University of Cyberjaya from different faculties are mostly irregularly active in current physical activity level. Moreover, comparing their physical activity level to pandemic, it has been increased currently due to their daily engagement towards moderate physical activities and always walking for at least 10 minutes at a time.

Predictors of physical activity among Chinese pregnant women during the first trimester: A cross-sectional study

ABSTRACT Physical activity during pregnancy has numerous health benefits for the woman and the foetus. The current study investigated physical activity engagement and its predictors among pregnant Chinese women during the first trimester. A total of 687 pregnant women completed the Pregnancy Physical Activity Questionnaire. Bivariate and multivariate logistic regression were used to analyse the data. The current physical activity guidelines were not met by 64.3% of respondents. Women with higher levels of physical activity self-efficacy (aOR = 0.96; 95% CI: 0.92–0.99) and social support (aOR = 0.95; 95% CI: 0.94–0.97) had lower odds of not meeting the current physical activity guidelines. Women who were aged < 35 years (aOR = 1.85; 95% CI: 1.02–3.34), had lower education (aOR = 1.63; 95% CI: 1.04–2.55), were primiparous (aOR = 11.03; 95% CI: 6.98–17.44), were unsure of their delivery mode (aOR = 2.32; 95% CI: 1.95–5.64), and those who had higher levels of pregnancy-associated discomfort (aOR = 1.10; 95% CI: 1.03–1.19) had higher odds of not meeting the current physical activity guidelines. The current study suggests that healthcare professionals should assess physical activity engagement during routine antenatal care and increase efforts to strengthen pregnant women’s self-efficacy and social support to promote physical activity engagement during the first trimester.

Physical inactivity among university students in Pakistan

PurposePhysical activity is an eminent practice for the maintenance of physical and mental health. Physical fitness always enables students to perform their various tasks efficiently specifically in academic performance. Student health is a principal factor for the performance of all kinds of activities particularly in academic performance. This study aimed to evaluate physical activity among university students and the factors for being inactive.Design/methodology/approachA questionnaire was designed and distributed among the students via WhatsApp, Skype and email, however, some responses were collected physically to maintain the quality of data. The questionnaire was categorized into demographic factors, current physical activity status and reasons for physical inactivity. Each section was further divided into questions and total 24 questions were asked from each individual for evaluation of inactiveness.FindingsThe finding of this research explored that enormous number of students are doing part time jobs and unable to find enough time for relaxation. The research was limited and evaluated limited factors and explored that 60.6% of students had less time for entertainment and this is only 2 h for this 60.6% of students. Among all factors of physical activity walking was preferable for 48.34% of the students. Students want to participate in healthy activities. Moreover, students are unable to perform physical exercise due to busy schedules of jobs (47.02%), part-time job burden (15.89%), study burden (35.10%) and poor health conditions (1.32%).Originality/valueThis study concluded that higher percentage of students have stress of limited resources and under this stress condition they are unable to take a balanced diet which they considered cost-effective. They did not perform maximum in their academic and daily activities and did not participate in sports activities. It was also observed that institutions did not provide a sufficient platform for physical activity for students. The research shows the factors which affect the student’s academic performance as being physically inactive. Evaluation of results explored that numerous students have limited resources during their career development and their attention remain diverted to overcome their limited resources which keep them physically unfit. The findings also explored that physically inactive students have heavy study and job burden which is not overcome and analyzed by their institutions.

Correlates of life course physical activity in participants of the Baltimore longitudinal study of aging.

Physical activity is consistently associated with better health and longer life spans. However, the extent to which length and intensity of exercise across the life course impact health outcomes relative to current activity is undefined. Participants of the Baltimore Longitudinal Study of Aging were asked to categorize their level of physical activity in each decade of life from adolescence to the current decade. In linear mixed effects models, self-reported past levels of physical activity were significantly associated with activity assessed at study visits in the corresponding decade of life either by questionnaire or accelerometry. A pattern of life course physical activity (LCPA) derived by ranking participants on reported activity intensity across multiple decades was consistent with the trajectories of activity estimated from standard physical activity questionnaires assessed at prior study visits. In multivariable linear regression models LCPA was associated with clinical characteristics, measures of body composition and indicators of physical performance independent of current physical activity. After adjustment for minutes of high intensity exercise, LCPA remained significantly associated with peak VO2, fasting glucose, thigh muscle area and density, abdominal subcutaneous fat, usual gait speed, lower extremity performance, and multimorbidity (all p < 0.01) at the index visit. The observed associations suggest that an estimate of physical activity across decades provides complementary information to information on current activity and reemphasizes the importance of consistently engaging in physical activity over the life course.

Implementing a Clinical Decision Support Tool to Improve Physical Activity.

Currently, only about half of U.S. adults achieve current physical activity guidelines. Routine physical activity is not regularly assessed, nor are patients routinely counseled by their healthcare provider on achieving recommended levels. The three-question physical activity vital sign (PAVS) was developed to assess physical activity duration and intensity and identify adults not meeting physical activity guidelines. Clinical decision support provided via a best practice advisory in an electronic health record (EHR) system can be triggered as a prompt, reminding healthcare providers to implement the best practice intervention when appropriate. Remote patient monitoring of physical activity can provide objective data in the EHR. This study aimed to evaluate the feasibility and clinical utility of embedding the PAVS and a triggered best practice advisor into the EHR in an ambulatory preventive cardiology practice setting to alert providers to patients reporting low physical activity and prompt healthcare providers to counsel these patients as needed. Three components based in the EHR were integrated for the purpose of this study: Patients completed the PAVS through their electronic patient portal prior to an office visit, a best practice advisory was created to prompt providers to counsel patients who reported low levels of physical activity, and remote patient monitoring via Fitbit synced to the EHR provided objective physical activity data. The intervention was pilot-tested in the Epic EHR for 1 year (July 1, 2021 to June 30, 2022). Qualitative feedback on the intervention from both providers and patients was obtained at the completion of the study. Monthly assessments of the use of the PAVS and best practice advisory and remote patient monitoring were completed. Patients' completion of the PAVS varied from 35% to 48% per month. The best practice advisory was signed by providers between 2% and 65% and was acknowledged by 2%-22% per month. The majority (58%) of patients were able to sync a Fitbit device to their EHR for remote monitoring. Although uptake of each component needs improvement, this pilot demonstrated the feasibility of incorporating a physical activity promotion intervention into the EHR. Qualitative feedback provided guidance for future implementation.

Relationships between physical behaviour phenotypes of mothers in pregnancy and their offspring with child body composition.

The aim of this study was to identify physical behaviour phenotypes in mothers in the first trimester and in their offspring at 24 months of age. The secondary aim was to examine relationships between mother and child behaviours with child body composition at age 24 months. Longitudinal secondary analysis of the Glowing cohort collected between 1 February 2011 and 22 August 2017 in Little Rock, Arkansas. Behaviours were measured using ankle-worn accelerometers in mothers during the first trimester and offspring at 24 months of age, including total activity, sleep, sedentary time and a novel variable of daily variation, patternicity. Child body fat was measured using quantitative nuclear magnetic resonance. Three phenotypes were identified for mothers and children (n = 159 complete dyads). There were no relationships between mother and child phenotypes, but higher maternal patternicity was associated with higher child patternicity (0.2, 95% CI 0.1, 0.3, p = 0.001). There were no associations between mother or child phenotypes with child body composition, however higher child activity was associated with lower body fat (-0.01, 95% CI: -0.02, -0.001, p = 0.031). Limited associations were found between mothers' pregnancy physical behaviours with child behaviours or child body composition at 24 months of age. Factors such as child diet or current parental physical activity may be better predictors of early childhood outcomes.

What's in a Message? Effects of Mental Fatigue and Message Framing on Motivation for Physical Activity.

Many adults worldwide do not meet current physical activity (PA) guidelines. Mental fatigue decreases the likelihood of choosing to engage in PA. Message framing may enhance PA motivation when fatigued. We examined the effects of mental fatigue and message framing on PA motivation with additional focus on the messaging "congruency effect." Three hundred and twenty undergraduates completed measures of dispositional motivational orientation and were exposed to either gain-framed or loss-framed messages before completing an effort discounting questionnaire. Results showed lower motivation to engage in PA of higher intensities and longer durations. Direct effects of message framing on PA motivation were not significant. Interaction effects revealed that participants receiving messages congruent with their dominant motivational orientation showed increased motivation for light-intensity PA and decreased motivation for vigorous-intensity PA as mental fatigue increased. Findings suggest that providing messages congruent with one's dominant motivational orientation may increase motivation for engaging in light-intensity PA when fatigued.

Targeting skeletal muscle health with exercise in people with type 1 diabetes: A protocol for HOMET1D, a prospective observational trial with matched controls.

Individuals with type 1 diabetes (T1D) experience a complex set of alterations to skeletal muscle metabolic, neuromuscular, and vascular health; collectively referred to as diabetic myopathy. While the full scope of diabetic myopathy is still being elucidated, evidence suggests that even when individuals with T1D are physically active, indices of myopathy still exist. As such, there is a question if adherence to current physical activity guidelines elicits improvements in skeletal muscle health indices similarly between individuals with and without T1D. The objectives of this trial are to: 1) compare baseline differences in skeletal muscle health between adults with and without T1D, 2) examine the association between participation in a home-based exercise program, detraining, and retraining, with changes in skeletal muscle health, and 3) examine the roles of age and sex on these associations. This will be a prospective interventional trial. Younger (18-30 years) and older (45-65 years) males and females with T1D and matched individuals without T1D will engage in a four-phase, 18-week study sequentially consisting of a one-week lead-in period, 12-week exercise training program, one-week detraining period, and four-week retraining period. The exercise program will consist of aerobic and resistance exercise based on current guidelines set by Diabetes Canada. Metabolic, neuromuscular, and vascular outcome measures will be assessed four times: at baseline, post-exercise program, post-detraining, and post-retraining. Differences in baseline metrics between those with and without T1D will be examined with independent sample t-tests, and with two-way analyses of variance for age- and sex-stratified analyses. Changes across the duration of the study will be examined using mixed-model analyses. Findings from this research will be shared locally and internationally with research participants, clinicians, diabetes educators, and patient advocacy organizations via in-person presentations, social media, and scientific fora. NCT05740514.

Comparison of Participation in Strength Activity Among People With and Without Disabilities: 2013-2017 Behavioral Risk Factor Surveillance System.

The current physical activity guidelines recommend engagement in strength activities at least 2 days per week. Currently, there is a lack of literature examining strength activities among people with disabilities. The purpose of this study is to estimate and compare the prevalence of engagement in strength activities and adherence to strength activity guidelines among adults with and without disabilities in the United States. A total of 1,005,644 adults (18-80y old) with and without disabilities from the 2013 to 2017 Behavioral Risk Factor Surveillance System were included in this secondary data analysis. Descriptive analyses were performed to describe the prevalence of strength activity behaviors of adults with and without disabilities. Logistic and Poisson regression models were performed to evaluate the relative contribution of disability status on strength activity behaviors. A higher proportion of participants without disabilities (46.42%, 95% CI, 46.18-46.65) reported engaging in strength activities compared with participants with disabilities (30.68%, 95% CI, 30.29-31.08; P < .01). Participants with disabilities were less likely to engage in strength activities (odds ratio = 0.51, 95% CI, 0.50-0.52; adjusted odds ratio = 0.75, 95% CI, 0.73-0.77) and meet strength activity guidelines (odds ratio = 0.56, 95% CI, 0.54-0.57; adjusted odds ratio = 0.75, 95% CI, 0.73-0.77) than participants without disabilities. Experiencing a disability is associated with lower engagement in strength activities; thus, it is important to identify effective and efficient approaches to promoting strength activities among people with disabilities.

A twin-driven analysis on early aging biomarkers and associations with sitting-time and physical activity.

Current physical activity guidelines may be insufficient to address health consequences in a world increasing in sedentary behavior. Physical activity is a key lifestyle factor to promote healthy aging, but few studies examine activity in conjunction with sitting. We examine how activity intensity and sitting behavior influence health and the extent to which physical activity might counter sitting. We analyzed data from the Colorado Adoption/Twin Study of Lifespan behavioral development and cognitive aging (CATSLife) in adults aged 28-49 years (M = 33.16, SD = 4.93). We fit a linear mixed-effect model for body mass index (BMI) and total cholesterol/high-density lipoprotein ratio (TC/HDL). Leveraging the co-twin control approach, we explore the trade-off between sitting and physical activity. Across established adulthood, TC/HDL and BMI demonstrated increasing age trends with prolonged sitting and vigorous activity inversely associated. Moreover, after considering sitting time, we found an age-equivalent benefit of vigorous exercise where those performing 30 minutes daily had expected TC/HDL and BMI estimates that mirrored sedentary individuals 5 and 10 years younger, respectively. Co-twin control analysis suggests partial exposure effects for TC/HDL, indicating greater vigorous activity may counter sitting-health effects but with diminishing returns. Our findings support the counteracting influence of prolonged sitting and physical activity on indicators of cardiovascular and metabolic health. A compensating role of vigorous activity on sitting health links is indicated while reducing sitting time appears paramount. Public health initiatives should consider sitting and vigorous activity in tandem in guidelines to promote health maintenance and combat accelerated aging.

Knowledge Attitude and Practice of Pregnant Women Towards Physical Exercise in Agege Local Government Area of Lagos State, Nigeria

Introduction: Pregnancy is a good time to develop a healthy lifestyle in pregnant women which includes physical exercise. The objective of this study was to assess the knowledge, attitude and practice of physical exercise among pregnant women in Agege local government area in Lagos state, Nigeria. Methodology: A cross-sectional survey method was used; 400 pregnant women were recruited into the study using convenience sampling technique. A structured and validated questionnaire was designed to assess knowledge, attitude and practice of pregnant women towards physical exercise was used to collect data. All the results were tested at 0.05 level of confidence. Results: The result showed that 36% of the pregnant women were between the age of 21-25 years and more than 35% were between 15-20 years, more than (71%) of the women have heard about physical exercise. Nevertheless, only 52% of the pregnant women engaged in physical exercise. Most (54.0%) of them actually prefer domestic activities over real physical exercise. The result suggests that women’s knowledge concerning physical exercise during pregnancy is reasonable and their attitude is positive; however, a large number do not practice physical exercise. Antenatal program may be tailored into introducing guided physical exercise and introduce pregnant women into guided models of fitting exercises for each trimester. Conclusion: Physical exercise in pregnancy is important to aid bodily movement produced by skeletal muscles that results in energy expenditure. Exercise is a subset of physical activity that is planned, structured, and repetitive and has as objective to improve or maintain physical fitness. Physical activity and exercise promote health and longevity, and minimal adherence to current physical activity guidelines is associated with a significant 20-30% reduction in risk of all-cause mortality. Pregnancy leads to a reduced level of physical activity for most women, the activity level is often further reduced throughout pregnancy, and the pre-pregnancy exercise level is usually not regained six months after childbirth

Commuting and Acceptance of Worksite Physical Activity Opportunities: Insights From a French University Hospital.

Recent research suggests a need for worksite programs that promote structured physical activity (PA) among hospital staff. The objectives of this study were to assess the hospital employees' acceptance of PA opportunities that could be implemented at the worksite, and the association between worksite PA and commuting and other sociocognitive factors. Acceptance of seven PA opportunities from the WHO guidelines was correlated with commuting and socio-cognitive factors through an online survey conducted among the workforce of the University Hospital of Angers, France (N = 6874) between April 25 and May 22, 2022. Only three PA opportunities in the seven proposed reached high approval rates among at least 50% of the 1,427 participants, namely, provide cycle facilities onsite, create a fitness room onsite, and establish partnerships with private associations or sports clubs, albeit rates decreased significantly with commuting distance for the first and the last proposals. The number of approved PA opportunities was positively related to the perceived negative influence of commuting on well-being and self-rated concerns with current PA level. It was negatively related to older age, long commuting, and flexible rest days. Based on these results, we recommend raising PA awareness and self-efficacy before implementing an easily accessible fitness center for employees. Providing cycle facilities and a more walkable environment in the hospital setting while encouraging active traveling between home and work for short commuters could additionally increase the level of physical activity on an equitable and sustainable basis.

FEASIBILITY OF USING SMARTPHONES AS A TOOL TO PROMOTE PHYSICAL ACTIVITY IN OLDER ADULTS

Abstract Smartphones have potential to allow asynchronous education, individualized feedback and coaching around physical activity (PA) though it’s unclear if older adults make use of these capabilities. We conducted anonymous, semi-structured interviews/surveys on current PA levels, and experience with mobile technology and PA programs with a convenience sample of older adults, and family members/caregivers receiving care at a large geriatrics academic practice over a 3-month period. Data included demographics, experience with smartphone and PA applications. Current levels of PA were measured with the International Physical Activity Questionnaire (IPAQ). Comparisons of PA levels based on mild vs moderate vs vigorous activity. 25 completed surveys, most of whom were female (67%) and identified as non-White (68%), with a mean age of 80.8 years, range 67-96. The majority (84%) reported owning smartphones, 8% reported using PA apps, and 8% used wearable activity trackers (WATs). 44% walked at least 10 minutes per day, but only 32% reported attaining moderate PA, and 12% vigorous PA. Average time/day walking 1.1-hour, average time/day moderate activity 0.74 hours. Both younger (age≤80 years) and older (age&amp;gt;80 years) adults were similar in owning Smartphones (85% vs. 83%) and using WATs (8% vs. 8%). Only the younger group used PA apps (15% vs. 0%). The ubiquity of Smartphones especially among such a demographically heterogeneous group suggests this may be a viable tool for increasing PA among a wide range of older adults. Next steps should address low rates of PA app use, intergenerational differences, and the possibility of incorporating socialization with technology.

The Mediating Role of Physical Activity Self-Efficacy in Predicting Moderate-Intensity Physical Activity in Pregnant People at High Risk for Gestational Diabetes.

Gestational diabetes mellitus (GDM) is a common medical complication in pregnancy. Moderate-intensity physical activity during pregnancy can lower the risk of GDM. However, the relationship between moderate-intensity physical activity and correlated factors among pregnant people at high risk for GDM remains unknown. A cross-sectional study was conducted in China. Two hundred fifty-two participants completed the Pregnancy Physical Activity Questionnaire, Pregnancy Physical Activity Self-Efficacy Scale, Physical Activity Knowledge Questionnaire, Physical Activity Social Support Scale, 7-item Generalized Anxiety Disorder Scale, Edinburgh Postnatal Depression Scale, and a sociodemographic data sheet. Structural equation modeling was used to explore the direct and indirect associations between the study variables. A total of 51.6% of the participants did not meet the current physical activity guidelines. Only physical activity self-efficacy was significantly correlated with moderate-intensity physical activity. Physical activity self-efficacy mediated the relationship between moderate-intensity physical activity and knowledge of physical activity, social support for physical activity, and anxiety symptoms. Furthermore, knowledge of physical activity was also associated with improved moderate-intensity physical activity mediated by reduced anxiety symptoms and increased physical activity self-efficacy. Our study revealed a high prevalence of not meeting current physical activity guidelines among pregnant people at high risk for GDM. Physical activity self-efficacy played an important mediating role in predicting moderate-intensity physical activity. Future studies should focus on enhancing self-efficacy to improve moderate-intensity physical activity for pregnant people at high risk for GDM.

Spatial navigation, physical activity, and Alzheimer disease biomarkers

AbstractBackgroundElevated levels of amyloid are associated with worse performance on cognitive mapping (CM), a spatial navigation task reliant on the hippocampus. Prior animal work found that exercise is associated with better learning in CM tasks. Hence, the first goal of the study was to examine whether physical activity moderates the relationship between amyloid deposition and CM. In addition, spatial navigation ability predicts Alzheimer disease (AD) clinical progression but there is a need to examine whether it also predicts subsequent levels of amyloid and tau. Hence, the second goal was to examine whether CM predicts later levels of PET‐Tau and longitudinal trajectories of PET‐Amyloid.MethodCognitively normal individuals (n = 65; age range 50‐84 years) were administered a CM task in a virtual environment and a self‐report measure of physical activity. For cross‐sectional analyses, amyloid deposition was estimated via cerebrospinal fluid levels of Aβ42. One assessment of PET‐Tau (n = 49) and repeated assessments of PET‐Amyloid (n = 59) were obtained following the CM session.ResultConcurrent amyloid deposition was associated with reduced learning (p = 0.002) and retention of the environment (p = 0.002) while greater physical activity was associated with better learning (p = 0.004). There was no moderation by physical activity (all p’s &gt; 0.156). CM performance was not associated with longitudinal trajectories of PET‐Amyloid (all p’s &gt; 0.330) or the subsequent levels of PET‐Tau (all p’s &gt; 0.572).ConclusionThese results suggest that both current physical activity and levels of amyloid can be important predictors of spatial navigation skills. However, CM might be a limited predictor of AD biomarker accumulation. Future studies should use a larger sample size and greater number of assessments to examine these questions.

Abstract PR005: Preferences of older cancer survivors for integration of remote activity monitoring using wearable devices

Abstract Purpose: To describe the preferences for integration of wearable devices into their healthcare to remotely monitor physical activity among older adult cancer survivors. Methods: 89 cancer survivors, aged 65 and older, completed our preferences for wearable devices in healthcare questionnaire. Participants were asked to self-report demographic information, current physical activity participation, and preferences for inclusion of wearable devices as part of their care plan through a current provider (i.e. physician, physical therapist, etc.). Data are summarized and reported as mean ± standard deviation or percent. Results: Participants were on average 71±5 years old, 59% female, and mostly White, non-Hispanic (93%). 76.2% of participants reporting engaging in 0 days of vigorous intensity physical activity, with 31% reporting no moderate intensity physical activity. 59% of older cancer survivors report they already own a wearable device, with the most common device being a wrist-worn device (93%). For those that do not currently own a device, 94% report they would be interested in owning a wearable device. 94% of older cancer survivors state they would be interested in using a wearable device as part of their usual care plan for their provider to remotely monitor their health. 88% report having no privacy concerns with sharing their wearable data with their healthcare provider. Participants report they would be willing to purchase their own monitor if it meant future out of pocket healthcare costs (81%) or reduced time investment to travel to the clinic (63%). Conclusions: Results indicate older cancer survivors are interested in their care team remotely monitoring their activity levels. Further, the majority of older cancer survivors report they are willing to purchase their own device. Future research is warranted to determine an implementation plan to integrate these devices into current clinic workflows and determine optimal interaction among patients and providers. Citation Format: Whitney A. Morelli, Kelly Clohesey, Jessica Liu. Preferences of older cancer survivors for integration of remote activity monitoring using wearable devices [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr PR005.

Why Do Romantic Relationships Affect Physical Activity? An Analysis of the Time Use of Couples and Singles Over a 3-Day Period.

Several studies have found that individuals with a partner were less physically active than those without. To better understand the reasons for this association, we examine whether the existence of a relationship or the current presence of a partner influences physical activity (PA). We use data from the most recent German Time Use Survey 2012/13 to examine leisure-time PA. All leisure-time activities reported in the time diaries are classified according to their metabolic equivalent of task (MET) to calculate the mean MET scores. First, we use ordinary least square regressions and logistic regressions to examine the effects of living together with a partner or not on mean daily MET scores and on exercise. Second, we apply person-day fixed effects models to estimate the impact of current partner presence on current PA levels. Having a partner is negatively associated with exercising but is not correlated with mean leisure-time MET scores for both women and men. For those with a partner, current MET levels are substantially lower when the partner is present than when the partner is absent. When partners spend leisure-time activities apart, their MET levels are higher than those of individuals without a partner. The results suggest that it is not the mere existence of a romantic relationship but the current copresence with a partner that affects PA behavior. Therefore, interventions to increase PA may be promising if they can encourage couples to be active together.