Physical Activity Levels In Older Adults Research Articles

Physical activity and functional social support in community-dwelling older adults: a scoping review

BackgroundGlobally, the population of older people is increasing and is estimated to reach nearly 2.1 billion by 2050. Physical activity (PA) is one of the key components for successful ageing. However, PA decreases with age and many older adults do not meet PA guidelines. Previous research has shown that social support (SOSU) is related to PA in older people. The aim of this scoping review is to identify and map all of the available evidence and to explore the association between functional SOSU and PA in older adults. Functional SOSU consists of emotional, informational, instrumental and companionship SOSU and social comparison.MethodsA scoping review was conducted using the Joanna-Briggs manual. Quantitative and qualitative studies investigating associations between functional SOSU and PA levels in older adults (mean age ≥ 60 years) were identified through a systematic search in seven electronic databases up to August 2023. After removing duplicates, 20,907 articles were screened for titles and abstracts. The results were analysed separately for different types of SOSU.Results116 articles met the inclusion criteria; 72% were quantitative studies and 28% were qualitative studies. Most studies used self-reported PA measures, only 23% of the studies used objective-reported PA measures. Most studies of SOSU for PA reported positive associations but the evidence is inconclusive when the source of support is considered. PA is positively associated with general, emotional, informational, and companionship SOSU, while instrumental support may occasionally be negatively associated. Companionship support is particularly influential on PA, especially in group settings, as it promotes social connectedness. Qualitative studies show that social comparison also supports PA. Different forms of SOSU generally show positive associations with PA.ConclusionsWhile the evidence on the association between functional SOSU and PA is mixed, most studies show that there is a positive association. PA may also be a strategy for improving social contact and social integration. This study offers a comprehensive overview of measures for SOSU and PA and thereby informs future research and policy-making.

Development and validation of age-specific predictive equations for total energy expenditure and physical activity levels for older adults

BackgroundPredicting energy requirements for older adults is compromised by the underpinning data being extrapolated from younger adults. ObjectivesTo generate and validate new total energy expenditure (TEE) predictive equations specifically for older adults using readily available measures (age, weight, height) and to generate and test new physical activity level (PAL) values derived from 1) reference method of indirect calorimetry and 2) predictive equations in adults aged ≥65 y. MethodsTEE derived from “gold standard” methods from n = 1657 (n = 1019 females, age range 65–90 y), was used to generate PAL values. PAL ranged 1.28–2.05 for males and 1.26–2.06 for females. Physical activity (PA) coefficients were also estimated and categorized (inactive to very active) from population means. Nonlinear regression was used to develop prediction equations for estimating TEE. Double cross-validation in a randomized, sex-stratified, age-matched 50:50 split, and leave one out cross-validation were performed. Comparisons were made with existing equations. ResultsEquations predicting TEE using the Institute of Medicine method are as follows: For males, TEE = −5680.17 − 17.50 × age (years) + PA coefficient × (6.96 × weight [kilograms] + 44.21 × height [centimeters]) + 1.13 × resting metabolic rate (RMR) (kilojoule/day). For females, TEE = −5290.72 − 8.38 × age (years) + PA coefficient × (9.77 × weight [kilograms] + 41.51 × height [centimeters]) + 1.05 × RMR (kilojoule/day), where PA coefficient values range from 1 (inactive) to 1.51 (highly active) in males and 1 to 1.44 in females respectively. Predictive performance for TEE from anthropometric variables and population mean PA was moderate with limits of agreement approximately ±30%. This improved to ±20% if PA was adjusted for activity category (inactive, low active, active, and very active). Where RMR was included as a predictor variable, the performance improved further to ±10% with a median absolute prediction error of approximately 4%. ConclusionsThese new TEE prediction equations require only simple anthropometric data and are accurate and reproducible at a group level while performing better than existing equations. Substantial individual variability in PAL in older adults is the major source of variation when applied at an individual level.

Functional social support and physical activity in community-dwelling older adults: A scoping review

Abstract Background Globally, the population of older people is increasing and is estimated to reach nearly 2.1 billion by 2050. Physical activity (PA) is one of the key components for healthy ageing, as it can prevent noncommunicable diseases, improve mental health, cognitive functioning and quality of life. However, PA decreases with age. About two-thirds of those aged 65-74 years and three-quarters of those aged 75 or more do not meet PA guidelines. A systematic review from 2017 showed that social support (SOSU) and loneliness are associated with PA in older people. The aim of this scoping review was to update that systematic review by identifying and mapping all of the available knowledge, including results from mixed-methods and qualitative studies, and to explore associations between functional SOSU and PA in older people. Methods A scoping review was conducted using the Joanna-Briggs manual. Empirical studies investigating associations between functional SOSU and PA levels in older adults were identified through a systematic search of the electronic databases Web of Science, PubMed, ProQuest, PsycInfo, PSYINDEX, SocINDEX and Scopus up to March 2022, without time or geographic restrictions. After removing duplicates, 17,196 articles were screened for titles and abstracts by two independent researchers. Strict inclusion and exclusion criteria were set in advance. Results 88 articles matched the inclusion criteria; 71% were quantitative studies and 29% qualitative studies. Most studies used self-reported PA measures, only 13% of the studies used objective-reported PA measures. Most studies showed a significant positive association between functional SOSU and PA. The results were analysed separately for the different SOSU types. Conclusions Functional SOSU is positively associated with PA while lack of SOSU is a major barrier to exercise. The study offers a comprehensive overview of measures for SOSU and PA and thereby informs future research and policy-making. Key messages • Older adults have lower levels of SOSU and PA. • One way of promoting PA in older age is facilitating high levels of SOSU.

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place.

Demographic changes and an ageing population require more effective methods to confront the increased prevalence of chronic diseases which generate dependence in older adults as well as an important rise in social expenditure. The challenge is not only to increase life expectancy, but also to ensure that the older adults can fully enjoy that moment in their lives, living where they wish to (private home, nursing home, …). Physical activity (PA) is a representative parameter of a person's state of health, especially when we are getting older, because it plays an important role in the prevention of diseases, and that is the reason why it is promoted in older adults. One of the goals of this work is to assess the feasibility of objectively measuring the PA levels of older adults wherever they live. In addition, this work proposes long-term monitoring that helps to gather daily activity patterns. We fuse inertial measurements with other technologies (WiFi- and ultrasonic-based location) in order to provide not only PA, but also information about the place where the activities are carried out, including both room-level location and precise positioning (depending on the technology used). With this information, we would be able to generate information about the person's daily routines which can be very useful for the early detection of physical or cognitive impairment.

Correlations Between Physical Activity Level, Quality of Life, and Cognitive Performance in Elderly Individuals Engaging in Multi-Year Dance Activities.

It is well-acknowledged that cognitive and physical decline associated with aging can be prevented or reduced with the engagement in regular physical activity (PA). Dance activities combine cardiovascular, cognitive, and coordinative demands, providing a popular leisure PA among elderly. This study examined the correlations between quality of life (QoL), cognitive and physical performance, and PA level in older adults who participated in at least 10 years of amateur ballroom dancing. <br/>Methods: The study was designed as an observational study. A sample of 20 (10 men; age range: 65 to 80 years; BMI: 26.3 ± 3.0 kg/m²) amateur senior dancers were compared with a sample of 18 (8 men; age range: 65 to 75 years; BMI: 25.5 ± 2.4 kg/m²) non-sedentary individuals (control group) following an adapted PA program. Quality of life and cognitive functioning assessment tools were administered: 36 Health Status Survey (SF-36v2), Montreal Cognitive Assessment (MoCA), and Cognitive Reserve Index questionnaire (CRIq). Physical performance was measured with their preferred walking speed (PWS), and level of moderate to vigorous physical activity (MVPA) was evaluated using a multi-sensor activity monitor. <br/>Results: Participants presented a good SF-36v2 physical component and a very good mental com- ponent summary, a total MoCA score within the limits, and an average total CRIq score. Their PWS and daily MVPA were high. Differences neither in the three questionnaires nor in PWS and PA level were observed between groups. A significant, moderate, and positive correlation was found between PWS and SF-36v2 physical component summary score. <br/>Conclusion: Ballroom dancing seems to allow elderly individuals to maintain good cognitive and physical abilities, QoL, an acceptable normal cognitive reserve, notable physical performance, and PA level to the same extent as an adapted PA program. Both types of PA seem to be able to contrast the mental and physical decline associated with aging.

Therapeutic Alliance and Its Potential Application to Physical Activity Interventions for Older Adults: A Narrative Review.

Increasing the physical activity (PA) levels of inactive older adults to promote healthy aging and to reduce preventable health conditions is a public health priority. However, there remains uncertainty on what constitutes the most important components and characteristics of effective PA interventions for older adults, and previous research has largely focused on the cognitive and behavioral strategies they adopt to increase uptake and adherence to PA. This narrative review puts forward the novel idea, with supporting evidence, that the strength, quality, and collaborative nature of the professional-client relationship, a concept drawn from the field of psychotherapy and known as therapeutic alliance, may be a vital and foundational element of effective PA interventions. This article will offer a new understanding, and a new direction of research to aid the future conceptualization, design, and development of interventions that aim to increase the PA levels of older adults.

Prospective associations between physical activity levels and white matter integrity in older adults: results from the MAPT study

BackgroundHigher levels of physical activity (PA) are known to be associated with better white matter integrity measured by diffusion tensor imaging (DTI) in older adults in cross-sectional studies. However, no studies have investigated the association between PA levels and the evolution of DTI parameters (fractional anisotropy and mean diffusivity). ObjectivesTo examine the cross-sectional associations between PA levels and DTI parameters, then to investigate the association between baseline PA levels and the evolution of DTI parameters in older adults. MethodsData on magnetic resonance imaging with DTI method from the Multidomain Alzheimer’s Preventive Trial (MAPT) study were used; 228 participants had data on DTI measured at three time-points over five years. Fractional anisotropy and mean diffusivity were acquired for six different brain regions. ResultsNo significant associations were found in the cross-sectional analyses. Only one association was found: compared with active individuals, a faster worsening in the mean diffusivity of the uncinate fasciculus region was found in inactive individuals (-5.0 × 10-6 (-9.5 × 10-5, 4.9 × 10-6)). ConclusionsIn this study, we found that the condition of the uncinate fasciculus region may be susceptible to changes in PA levels in older adults. Longitudinal studies that assess fitness and PA using objective measurements (e.g. cardiorespiratory fitness and accelerometry) could shed some new light on this topic.

Quantifying Habitual Physical Activity and Sedentariness in Older Adults-Different Outcomes of Two Simultaneously Body-Worn Motion Sensor Approaches and a Self-Estimation.

Applicable and accurate assessment methods are required for a clinically relevant quantification of habitual physical activity (PA) levels and sedentariness in older adults. The aim of this study is to compare habitual PA and sedentariness, as assessed with (1) a wrist-worn actigraph, (2) a hybrid motion sensor attached to the lower back, and (3) a self-estimation based on a questionnaire. Over the course of one week, PA of 58 community-dwelling subjectively healthy older adults was recorded. The results indicate that actigraphy overestimates the PA levels in older adults, whereas sedentariness is underestimated when compared to the hybrid motion sensor approach. Significantly longer durations (hh:mm/day) for all PA intensities were assessed with the actigraph (light: 04:19; moderate to vigorous: 05:08) when compared to the durations (hh:mm/day) that were assessed with the hybrid motion sensor (light: 01:24; moderate to vigorous: 02:21) and the self-estimated durations (hh:mm/day) (light: 02:33; moderate to vigorous: 03:04). Actigraphy-assessed durations of sedentariness (14:32 hh:mm/day) were significantly shorter when compared to the durations assessed with the hybrid motion sensor (20:15 hh:mm/day). Self-estimated duration of light intensity was significantly shorter when compared to the results of the hybrid motion sensor. The results of the present study highlight the importance of an accurate quantification of habitual PA levels and sedentariness in older adults. The use of hybrid motion sensors can offer important insights into the PA levels and PA types (e.g., sitting, lying) and it can increase the knowledge about mobility-related PA and patterns of sedentariness, while actigraphy appears to be not recommendable for this purpose.

47 Dual Tasking in Older Women: Physical Activity or Else?

Abstract Background The interplay between gender, Physical Activity (PA) and Dual Task (DT) gait in older adults is unclear. This study aimed to address DT gait based on gender and PA level in older adults. Methods Gait measures were collected using an Inertial Measurement Unit (IMU) during the 10-meter and Timed Up and Go (TUG) tests in single and DT conditions. Global Physical Activity Questionnaire (GPAQ) was used to measure PA. A total of 120 community-dwelling older adults (81 women and 39 men) took part. Participants were divided according to gender and PA level into four groups (women achieving (WA = 31), women not achieving (WN = 50), men Achieving (MA = 29) and men not achieving (MN = 10)). The achievement of PA was determined by total Metabolic Equivalent (MET) – Minute/week ≥ 600. Cognition, health-related quality of life, falls history and health status was measured. Results Women had poorer performance in time, gait velocity and stride length regardless of PA level. The cognitive condition had the greatest effect on gait parameters in all groups, except for stride length which decreased more under the motor condition. Women who did not achieve the PA guidelines had poorer perceived health-related quality of life than men who achieved and did not achieve the guidelines. Conclusions The findings suggest that women, regardless of PA level, experience greater deterioration under ST and DT conditions in 10-meter walk and TUG tests in terms of time and gait measures such as velocity and stride length. This interplay cannot be explained by PA alone since it could be reflective of poorer perceived health and frailty in older women. These findings are considered of importance when planning DT and PA interventions that aim to increase PA levels and promote function in older women.

Results of MyPlan 2.0 on Physical Activity in Older Belgian Adults: Randomized Controlled Trial.

BackgroundThe beneficial effects of physical activity (PA) for older adults are well known. However, few older adults reach the health guideline of 150 min per week of moderate-to-vigorous PA (MVPA). Electronic health (eHealth) interventions are effective in increasing PA levels in older adults in the short term but, rarely, intermediate-term effects after a period without the support of a website or an app have been examined. Furthermore, current theory-based interventions focus mainly on preintentional determinants, although postintentional determinants should also be included to increase the likelihood of successful behavior change.ObjectiveThis study aimed to investigate the effect of the theory-based eHealth intervention, MyPlan 2.0, focusing on pre- and postintentional determinants on both accelerometer-based and self-reported PA levels in older Belgian adults in the short and intermediate term.MethodsThis study was a randomized controlled trial with three data collection points: baseline (N=72), post (five weeks after baseline; N=65), and follow-up (three months after baseline; N=65). The study took place in Ghent, and older adults (aged ≥65 years) were recruited through a combination of random and convenience sampling. At all the time points, participants were visited by the research team. Self-reported domain-specific PA was assessed using the International Physical Activity Questionnaire, and accelerometers were used to objectively assess PA. Participants in the intervention group got access to the eHealth intervention, MyPlan 2.0, and used it independently for five consecutive weeks after baseline. MyPlan 2.0 was based on the self-regulatory theory and focused on both pre- and postintentional processes to increase PA. Multilevel mixed-models repeated measures analyses were performed in R (R Foundation for Statistical Computing).ResultsSignificant (borderline) positive intervention effects were found for accelerometer-based MVPA (baseline−follow-up: intervention group +5 min per day and control group −5 min per day; P=.07) and for accelerometer-based total PA (baseline−post: intervention group +20 min per day and control group −24 min per day; P=.05). MyPlan 2.0 was also effective in increasing self-reported PA, mainly in the intermediate term. A positive intermediate-term intervention effect was found for leisure-time vigorous PA (P=.02), moderate household-related PA (P=.01), and moderate PA in the garden (P=.04). Negative intermediate-term intervention effects were found for leisure-time moderate PA (P=.01) and cycling for transport (P=.07).ConclusionsThe findings suggest that theory-based eHealth interventions focusing on pre- and postintentional determinants have the potential for behavior change in older adults. If future studies including larger samples and long-term follow-up can confirm and clarify these findings, researchers and practitioners should be encouraged to use a self-regulation perspective for eHealth intervention development.Trial RegistrationClinicaltrials.gov NCT03194334; https://clinicaltrials.gov/ct2/show/NCT03783611.

Better Self-Perceived Health Is Associated With Lower Odds of Physical Inactivity in Older Adults With Chronic Disease

Poor self-perceived health (SPH) is associated with lower levels of physical activity (PA) and the presence of chronic disease in older adults. The purpose of this study was to determine whether SPH is associated with PA levels in older adults with existing chronic disease and whether this differs by disease. Using logistic regressions on data from the Canadian Community Health Survey (N = 33,168) it was found that adjusted logistic regressions revealed that odds of physical inactivity were similar in those with good SPH who reported having respiratory, musculoskeletal, or other chronic disease compared with those with good SPH without these diseases. Those with good SPH who reported having cardiometabolic disease were at significantly greater risk of physical inactivity than those with good SPH without cardiometabolic disease. It is apparent from the current analysis that SPH plays an important role in PA levels of older adults with chronic disease and should be targeted in future interventions.

How many days of monitoring predict physical activity and sedentary behaviour in older adults?

BackgroundThe number of days of pedometer or accelerometer data needed to reliably assess physical activity (PA) is important for research that examines the relationship with health. While this important research has been completed in young to middle-aged adults, data is lacking in older adults. Further, data determining the number of days of self-reports PA data is also void. The purpose of this study was to examine the number of days needed to predict habitual PA and sedentary behaviour across pedometer, accelerometer, and physical activity log (PA log) data in older adults.MethodsParticipants (52 older men and women; age = 69.3 ± 7.4 years, range= 55-86 years) wore a Yamax Digiwalker SW-200 pedometer and an ActiGraph 7164 accelerometer while completing a PA log for 21 consecutive days. Mean differences each instrument and intensity between days of the week were examined using separate repeated measures analysis of variance for with pairwise comparisons. Spearman-Brown Prophecy Formulae based on Intraclass Correlations of .80, .85, .90 and .95 were used to predict the number of days of accelerometer or pedometer wear or PA log daily records needed to represent total PA, light PA, moderate-to-vigorous PA, and sedentary behaviour.ResultsResults of this study showed that three days of accelerometer data, four days of pedometer data, or four days of completing PA logs are needed to accurately predict PA levels in older adults. When examining time spent in specific intensities of PA, fewer days of data are needed for accurate prediction of time spent in that activity for ActiGraph but more for the PA log. To accurately predict average daily time spent in sedentary behaviour, five days of ActiGraph data are needed.ConclusionsThe number days of objective (pedometer and ActiGraph) and subjective (PA log) data needed to accurately estimate daily PA in older adults was relatively consistent. Despite no statistical differences between days for total PA by the pedometer and ActiGraph, the magnitude of differences between days suggests that day of the week cannot be completely ignored in the design and analysis of PA studies that involve < 7-day monitoring protocols for these instruments. More days of accelerometer data were needed to determine typical sedentary behaviour than PA level in this population of older adults.

Suggestions for Increasing Physical Activity Levels of Korean Older Adults: A Public Health Perspective

2010 is the year when the Korean baby boomer generation faces retirement. With the need for affective strategies to keep this population healthy, the government has placed much effort to increase the regular physical activity (PA) level of older adults. Yet the prevalence of active seniors is still relatively low. This paper reviews the recent government strategies and efforts to enhance the physical activity levels of older adults and the PA programs provided in the community settings by major organizations and institutions. In addition, the problems of the current approaches are shown, and based on a review, the author provides five suggestions for promoting the PA level of older adults as follows. First, specific physical activity goals and objectives for older adults should be included in the National Health Plan 2020. Second, the recommendations for PA for seniors, which include a proper intensity, duration and frequency of exercise, should be provided. Third, the role of organizations and institutions should be rearranged for the proper dissemination of government provided community-based exercise programs. Fourth, a standard quality-control system should be provided, and finally, an evidence-based exercise program, which should be specifically created for the older Korean population, should be developed. Physical activity offers opportunities for people to extend the years of their active independent life and reduce functional limitations. To maximize the effects of government efforts to promote PA for seniors, we feel the comments provided in this paper should be closely examined.

Physical activity levels of older community-dwelling adults are influenced by summer weather variables

Adequate daily physical activity (PA) is important for maintaining functional capacity and independence in older adults. However, most older adults in Canada do not engage in enough PA to sustain fitness and functional independence. Environmental influences, such as warmer daytime temperatures, may influence PA participation; however, few studies have examined the effect of summertime temperatures on PA levels in older adults. This investigation measured the influence of summertime weather variables on PA in 48 community-dwelling older adults who were randomly recruited from a local seniors' community centre. Each participant wore an accelerometer for a single 7-consecutive-day period (between 30 May and 9 August 2006) during waking hours, and completed a PA logbook to remark on major daily PA events. Local weather variables were collected from a national weather service and compared with PA counts per minute. Regression analysis revealed a curvilinear relationship between log-transformed PA and mean daily temperature (r2 = 0.025; p < 0.05). Linear mixed effects models that accounted for repeated measures nested within individuals were performed for monthly periods, meteorological variables, sex, age, and estimated maximal oxygen consumption, with PA as the dependent variable. Age and Air Quality Index remained significant variables within the model. Higher fitness levels had no effect on allowing individuals to perform more vigorous PA in warmer temperatures.