Feasibility of a physiotherapist-supervised walking program with telephone coaching to increase physical activity following acquired brain injury.

Background Physical activity has health benefits for adults with acquired brain injury, but it is a challenge to increase physical activity during inpatient rehabilitation. The objectives of this pilot study were to determine whether a physiotherapy-supervised inpatient walking program was feasible and able to improve physical activity and sedentary behaviour in the short and medium term. Methods Adults with acquired brain injury receiving inpatient rehabilitation undertook twice-weekly supervised walks plus behavioural therapy for 4 weeks. Feasibility was measured via recruitment, participation and drop out rates, adverse events and intervention delivery costs. Physical activity and sedentary behaviour were measured with an activPAL. Assessments were conducted at baseline, post-intervention and 3-6 months post-intervention. Results The program was safe to deliver (no adverse events), recruitment rate was 55% (16/29) and the participation rate for eligible individuals was high (14/19, 74%). However, the program had a high drop out rate (7/16, 44%) and physical activity and sedentary behaviour did not significantly change during the 4-week intervention. Costs were AU$427.71/participant. Physical activity and sedentary behaviour did improve 3-6 months after the intervention (vs baseline, on average: +3913 steps per day, 95% CI: 671, 7156). Conclusion This pilot study demonstrated a supervised physiotherapy walking program is safe and feasible to recruit in an inpatient setting. However, drop out during the study was high and behaviour change did not occur. More work is required to boost physical activity during sub-acute rehabilitation for acquired brain injury.

Maternal physical activity and sitting time and its association with placental morphology and blood flow during gestation: Findings from the Queensland Family Cohort study.

OBJECTIVES: Antenatal exercise is associated with placental morphological alterations, however research in this area is limited. Given the emphasis on the beneficial effects of antenatal exercise, it is important to understand its effect on placental function and the relationship to foetal development. The aim of this study was to investigate the association between physical activity, sitting time, and placental outcomes measured during gestation. DESIGN: Prospective cohort study. METHODS: Pregnant women in the Queensland Family Cohort study self-reported physical activity at 24 and 36 weeks of gestation (n = 203) and were categorised into physical activity volume groups of nil-low (0-<500 metabolic equivalent of task·minutes/week), moderate (500-<1000 metabolic equivalent of task·minutes/week), or high-volume activity (≥1000 metabolic equivalent of task·minutes/week). Participants reported average daily sitting time, whereby excessive sitting time was considered as ≥8h/day. Placental stiffness, thickness, and uteroplacental blood flow resistance were measured by ultrasound imaging at each timepoint. RESULTS: Physical activity volume was not associated with changes to placental morphometrics or uteroplacental blood flow resistance at 24 or 36 weeks of gestation. Excessive sitting time at 36 weeks was associated with greater placental stiffness (p = 0.046), and a lower umbilical artery pulsatility index (p = 0.001). CONCLUSIONS: Placental tissue stiffness and umbilical artery resistance were altered in late gestation with higher maternal sitting time but not with physical activity volume. Overall, excessive sitting time may be a risk for suboptimal placental function and could be an important focus for antenatal care.

Twelve Tips for Inclusive Practice in Healthcare Settings.

This paper outlines practical tips for inclusive healthcare practice and service delivery, covering diversity aspects and intersectionality. A team with wide-ranging lived experiences from a national public health association's diversity, equity, and inclusion group compiled the tips, which were reiteratively discussed and refined. The final twelve tips were selected for practical and broad applicability. The twelve chosen tips are: (a) beware of assumptions and stereotypes, (b) replace labels with appropriate terminology, (c) use inclusive language, (d) ensure inclusivity in physical space, (e) use inclusive signage, (f) ensure appropriate communication methods, (g) adopt a strength-based approach, (h) ensure inclusivity in research, (i) expand the scope of inclusive healthcare delivery, (j) advocate for inclusivity, (k) self-educate on diversity in all its forms, and (l) build individual and institutional commitments. The twelve tips are applicable across many aspects of diversity, providing a practical guide for all healthcare workers (HCWs) and students to improve practices. These tips guide healthcare facilities and HCWs in improving patient-centered care, especially for those who are often overlooked in mainstream service provision.

Indoor Built Environment and Older Adults' Activity: A Systematic Review.

Although the physical environment can influence people's activity, there are few knowledge syntheses for indoor environments and older adults' daily life routines. Therefore, we conducted a systematic review of peer-reviewed evidence to inform future research and practice. Inclusion criteria were studies with any research designs, across all years and languages focused on older adults 60 years of age or more, on physical activity/sedentary behaviour and the indoor environment. After searching five databases, two authors completed title/abstract and full-text screening. The last search was on December 19, 2020. We screened 1,367 citations, and included 23 studies situated in private or collective dwellings (e.g., assisted living). We identified physical activity-supportive indoor features across three domains: campus (e.g., amenities, pathways), building (e.g., area, floor level), and fixtures (e.g., elevators, hallways). Knowledge of indoor environmental factors for older adults' engagement in daily activities can guide future research and policy on housing design.

Total Sedentary Time and Cognitive Function in Middle-Aged and Older Adults: A Systematic Review and Meta-analysis.

BACKGROUND: An estimated 47 million people have dementia globally, and around 10 million new cases are diagnosed each year. Many lifestyle factors have been linked to cognitive impairment; one emerging modifiable lifestyle factor is sedentary time. OBJECTIVE: To conduct a systematic review and meta-analysis of peer-reviewed literature examining the association between total sedentary time with cognitive function in middle-aged and older adults under the moderating conditions of (a) type of sedentary time measurement; (b) the cognitive domain being assessed; (c) looking at sedentary time using categorical variables (i.e., high versus low sedentary time); and (d) the pattern of sedentary time accumulation (e.g., longer versus shorter bouts). We also aimed to examine the prevalence of sedentary time in healthy versus cognitively impaired populations and to explore how experimental studies reducing or breaking up sedentary time affect cognitive function. Lastly, we aimed to conduct a quantitative pooled analysis of all individual studies through meta-analysis procedures to derive conclusions about these relationships. METHODS: Eight electronic databases (EMBASE; Web of Science; PsycINFO; CINAHL; SciELO; SPORTDiscus; PubMed; and Scopus) were searched from inception to February 2021. Our search included terms related to the exposure (i.e., sedentary time), the population (i.e., middle-aged and older adults), and the outcome of interest (i.e., cognitive function). PICOS framework used middle-aged and older adults where there was an intervention or exposure of any sedentary time compared to any or no comparison, where cognitive function and/or cognitive impairment was measured, and all types of quantitative, empirical, observational data published in any year were included that were published in English. Risk of bias was assessed using QualSyst. RESULTS: Fifty-three studies including 83,137 participants met the inclusion criteria of which 23 studies had appropriate data for inclusion in the main meta-analysis. The overall meta-analysis suggested that total sedentary time has no association with cognitive function (r = -0.012 [95% CI - 0.035, 0.011], p = 0.296) with marked heterogeneity (I2 = 89%). Subgroup analyses demonstrated a significant negative association for studies using a device to capture sedentary time r = -0.035 [95% CI - 0.063, - 0.008], p = 0.012). Specifically, the domains of global cognitive function (r = -0.061 [95% CI - 0.100, - 0.022], p = 0.002) and processing speed (r = -0.067, [95% CI - 0.103, - 0.030], p < 0.001). A significant positive association was found for studies using self-report (r = 0.037 [95% CI - 0.019, 0.054], p < 0.001). Specifically, the domain of processing speed showed a significant positive association (r = 0.057 [95% CI 0.045, 0.069], p < 0.001). For prevalence, populations diagnosed with cognitive impairment spent significantly more time sedentary compared to populations with no known cognitive impairments (standard difference in mean = -0.219 [95% CI - 0.310, - 0.128], p < 0.001). CONCLUSIONS: The association of total sedentary time with cognitive function is weak and varies based on measurement of sedentary time and domain being assessed. Future research is needed to better categorize domains of sedentary behaviour with both a validated self-report and device-based measure in order to improve the strength of this relationship. PROSPERO registration number: CRD42018082384.

Sedentary behaviour and brain health in middle-aged and older adults: A systematic review.

Sedentary behaviour may increase the risk of dementia. Studying physiological effects of sedentary behaviour on cerebral health may provide new insights into the nature of this association. Accordingly, we reviewed if and how acute and habitual sedentary behaviour relate to brain health factors in middle-aged and older adults (≥45 years). Four databases were searched. Twenty-nine studies were included, with mainly cross-sectional designs. Nine studies examined neurotrophic factors and six studied functional brain measures, with the majority of these studies finding no associations with sedentary behaviour. The results from studies on sedentary behaviour and cerebrovascular measures were inconclusive. There was a tentative association between habitual sedentary behaviour and structural white matter health. An explanatory pathway for this effect might relate to the immediate vascular effects of sitting, such as elevation of blood pressure. Nevertheless, due to the foremost cross-sectional nature of the available evidence, reverse causality could also be a possible explanation. More prospective studies are needed to understand the potential of sedentary behaviour as a target for brain health.

Sitting less and moving more for improved metabolic and brain health in type 2 diabetes: 'OPTIMISE your health' trial protocol.

BACKGROUND: Clinical practice guidelines recommend that adults with type 2 diabetes (T2D) sit less and move more throughout the day. The 18-month OPTIMISE Your Health Clinical Trial was developed to support desk-based workers with T2D achieve these recommendations. The two-arm protocol consists of an intervention and control arms. The intervention arm receives 6 months health coaching, a sit-stand desktop workstation and an activity tracker, followed by 6 months of text message support, then 6 months maintenance. The control arm receives a delayed modified intervention after 12 months of usual care. This paper describes the methods of a randomised controlled trial (RCT) evaluating the effectiveness and cost-effectiveness of the intervention, compared to a delayed intervention control. METHODS: This is a two-arm RCT being conducted in Melbourne, Australia. Desk-based workers (≥0.8 full-time equivalent) aged 35-65 years, ambulatory, and with T2D and managed glycaemic control (6.5-10.0% HbA1c), are randomised to the multicomponent intervention (target n = 125) or delayed-intervention control (target n = 125) conditions. All intervention participants receive 6 months of tailored health coaching assisting them to "sit less" and "move more" at work and throughout the day, supported by a sit-stand desktop workstation and an activity tracker (Fitbit). Participants receive text message-based extended care for a further 6-months (6-12 months) followed by 6-months of non-contact (12-18 months: maintenance). Delayed intervention occurs at 12-18 months for the control arm. Assessments are undertaken at baseline, 3, 6, 12, 15 and 18-months. Primary outcomes are activPAL-measured sitting time (h/16 h day), glycosylated haemoglobin (HbA1c; %, mmol/mol) and, cognitive function measures (visual learning and new memory; Paired Associates Learning Total Errors [adjusted]). Secondary, exploratory, and process outcomes will also be collected throughout the trial. DISCUSSION: The OPTIMISE Your Health trial will provide unique insights into the benefits of an intervention aimed at sitting less and moving more in desk-bound office workers with T2D, with outcomes relevant to glycaemic control, and to cardiometabolic and brain health. Findings will contribute new insights to add to the evidence base on initiating and maintaining behaviour change with clinical populations and inform practice in diabetes management. TRIAL REGISTRATION: ANZCTRN12618001159246 .

Predicting the progressive resistance and balance training response of community-dwelling older adults accessing aged care support services: A stepped-wedge randomised controlled trial.

OBJECTIVE: To quantify the variation in body composition, physical function and cognitive health changes resulting from the Muscling Up Against Disability (MUAD) resistance and balance training program and the potential for baseline characteristics to predict the magnitude of training-related response. METHODS: The study represented a secondary analysis of a stepped-wedge randomised controlled trial involving 245 community-dwelling adults receiving Australian Government-funded aged care services who performed 26 weeks of supervised progressive resistance and balance training (PRBT). The primary outcome was the proportion of response that described the number of individuals expected to make any positive change due to the intervention and not external factors. RESULTS: For all outcomes, the observed average change in the PRBT group was more favourable than the control. Analyses identified that most participants completing the PRBT program would be expected to respond positively to the intervention (86%-99%) with respect to their physical performance (SPPB summary, grip strength, chair stand and isometric knee strength). A smaller proportion completing the PRBT program group would be expected to respond positively in aspects of body composition (45%-60%) or cognitive function (44%-84%). The strongest predictors of positive change were baseline physical function, whereby those with the poorest baseline function experienced the greatest benefits. CONCLUSIONS: This study strongly supports the promotion of PRBT as a standard component of any care plan for community-dwelling older adults, especially those with low levels of physical function.

Active Aging and Public Health: Evidence, Implications, and Opportunities.

By 2050, 20% of the world's population will be over the age of 65 years, with projections that 80% of older adults will be living in low- to middle-income countries. Physical inactivity and sedentary time are particularly high in older adults, presenting unique public health challenges. In this article, we first review evidence that points to multiple beneficial outcomes of active aging, including better physical function, cognitive function, mental health, social health, and sleep, and we suggest the need to shift the research focus from chronic disease outcomes to more relevantoutcomes that affect independence and quality of life. Second, we review the critical role of age-friendly environments in facilitating active aging equitably across different countries and cultures. Finally, we consider emerging opportunities related to social engagement and technology-enabled mobility that can facilitate active aging. In all these contexts, it is a priority to understand and address diversity within the global aging population.

Validity of the occupational sitting and physical activity questionnaire (OSPAQ) for home-based office workers during the COVID-19 global pandemic: A secondary analysis.

High levels of occupational sitting is an emerging health concern. As working from home has become a common practice as a result of COVID-19, it is imperative to validate an appropriate self-report measure to assess sitting in this setting. This secondary analysis study aimed to validate the occupational sitting and physical activity questionnaire (OSPAQ) against an activPAL4™ in full-time home-based 'office' workers (n = 148; mean age = 44.90). Participants completed a modified version of the OSPAQ and wore an activPAL4™ for a full work week. The findings suggest that the modified OSPAQ has fair levels of validity in terms of correlation for sitting and standing (ρ = 0.35-0.43, all p < 0.05) and agreement (bias = 2-12%) at the group level; however, estimates were poor at an individual level, as suggested by wide limits of agreement (±22-30%). Overall, the OSPAQ showed to be an easily administered and valid questionnaire to measure group level sitting and standing in this sample of adults.

Interventions for reducing sedentary behaviour in community-dwelling older adults.

BACKGROUND: Older adults are the most sedentary segment of society, often spending in excess of 8.5 hours a day sitting. Large amounts of time spent sedentary, defined as time spend sitting or in a reclining posture without spending energy, has been linked to an increased risk of chronic diseases, frailty, loss of function, disablement, social isolation, and premature death. OBJECTIVES: To evaluate the effectiveness of interventions aimed at reducing sedentary behaviour amongst older adults living independently in the community compared to control conditions involving either no intervention or interventions that do not target sedentary behaviour. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, PsycINFO, PEDro, EPPI-Centre databases (Trials Register of Promoting Health Interventions (TRoPHI) and the Obesity and Sedentary behaviour Database), WHO ICTRP, and ClinicalTrials.gov up to 18 January 2021. We also screened the reference lists of included articles and contacted authors to identify additional studies. SELECTION CRITERIA: We included randomised controlled trials (RCTs) and cluster-RCTs. We included interventions purposefully designed to reduce sedentary time in older adults (aged 60 or over) living independently in the community. We included studies if some of the participants had multiple comorbidities, but excluded interventions that recruited clinical populations specifically (e.g. stroke survivors). DATA COLLECTION AND ANALYSIS: Two review authors independently screened titles and abstracts and full-text articles to determine study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. Any disagreements in study screening or data extraction were settled by a third review author. MAIN RESULTS: We included seven studies in the review, six RCTs and one cluster-RCT, with a total of 397 participants. The majority of participants were female (n = 284), white, and highly educated. All trials were conducted in high-income countries. All studies evaluated individually based behaviour change interventions using a combination of behaviour change techniques such as goal setting, education, and behaviour monitoring or feedback. Four of the seven studies also measured secondary outcomes. The main sources of bias were related to selection bias (N = 2), performance bias (N = 6), blinding of outcome assessment (N = 2), and incomplete outcome data (N = 2) and selective reporting (N=1). The overall risk of bias was judged as unclear. Primary outcomes The evidence suggests that interventions to change sedentary behaviour in community-dwelling older adults may reduce sedentary time (mean difference (MD) -44.91 min/day, 95% confidence interval (CI) -93.13 to 3.32; 397 participants; 7 studies; I2 = 73%; low-certainty evidence). We could not pool evidence on the effect of interventions on breaks in sedentary behaviour or time spent in specific domains such as TV time, as data from only one study were available for these outcomes. Secondary outcomes We are uncertain whether interventions to reduce sedentary behaviour have any impact on the physical or mental health outcomes of community-dwelling older adults. We were able to pool change data for the following outcomes. • Physical function (MD 0.14 Short Physical Performance Battery (SPPB) score, 95% CI -0.38 to 0.66; higher score is favourable; 98 participants; 2 studies; I2 = 26%; low-certainty evidence). • Waist circumference (MD 1.14 cm, 95% CI -1.64 to 3.93; 100 participants; 2 studies; I2 = 0%; low-certainty evidence). • Fitness (MD -5.16 m in the 6-minute walk test, 95% CI -36.49 to 26.17; higher score is favourable; 80 participants; 2 studies; I2 = 29%; low-certainty evidence). • Blood pressure: systolic (MD -3.91 mmHg, 95% CI -10.95 to 3.13; 138 participants; 3 studies; I2 = 73%; very low-certainty evidence) and diastolic (MD -0.06 mmHg, 95% CI -5.72 to 5.60; 138 participants; 3 studies; I2 = 97%; very low-certainty evidence). • Glucose blood levels (MD 2.20 mg/dL, 95% CI -6.46 to 10.86; 100 participants; 2 studies; I2 = 0%; low-certainty evidence). No data were available on cognitive function, cost-effectiveness or adverse effects. AUTHORS' CONCLUSIONS: It is not clear whether interventions to reduce sedentary behaviour are effective at reducing sedentary time in community-dwelling older adults. We are uncertain if these interventions have any impact on the physical or mental health of community-dwelling older adults. There were few studies, and the certainty of the evidence is very low to low, mainly due to inconsistency in findings and imprecision. Future studies should consider interventions aimed at modifying the environment, policy, and social and cultural norms. Future studies should also use device-based measures of sedentary time, recruit larger samples, and gather information about quality of life, cost-effectiveness, and adverse event data.

Light-Intensity Physical Activity and Life Expectancy: National Health and Nutrition Survey.

INTRODUCTION: Quantifying the years of life gained associated with light-intensity physical activity may be important for risk communication in public health. Because no studies have examined the role of light-intensity physical activity in life expectancy, this study aims to quantify the years of life gained from light-intensity physical activity in a population-based U.S. METHODS: This study used data from 6,636 participants in the National Health and Nutrition Examination Survey (2003-2006). Analyses were conducted in 2020. Light-intensity physical activity was categorized into low, medium, and high on the basis of tertiles, and survival models were applied to estimate the years of life gained from each light-intensity physical activity group. Analyses were repeated in participants with moderate-to-vigorous physical activity above or below the median. RESULTS: During a mean follow-up of 11 years and at 55,520 person-years, 994 deaths were recorded. At age 20 years, participants with low, medium, and high light-intensity physical activity had a predicted life expectancy of 53.92 (95% CI=46.66, 61.18), 58.16 (95% CI=52.10, 65.22), and 58.44 (95% CI=51.29, 65.60) years, suggesting significant years of life gained from medium and high levels of light-intensity physical activity of 2.89 (95% CI=0.90, 4.12) and 3.07 (95% CI=0.84, 5.30) years. The corresponding years of life gained at age 45 years and 65 years were 2.51 (95% CI=0.40, 5.47) and 1.52 (95% CI=0.54, 2.50) years for the medium light-intensity physical activity group and 2.66 (95% CI=0.80, 4.52) and 1.62 (95% CI=0.49, 52.75) years for the high light-intensity physical activity group. This association was significant in participants with moderate-to-vigorous physical activity below the median but not for those with moderate-to-vigorous physical activity above the median. CONCLUSIONS: Light-intensity physical activity may extend life expectancy. Given the low prevalence of moderate-to-vigorous physical activity in populations, physical activity promotion efforts may capitalize on emerging evidence on light-intensity physical activity, particularly among the most inactive groups.

Sedentary time in people with obstructive airway diseases.

Sedentary time (ST) and light-intensity physical activity (LIPA) are movement behaviours associated with important health outcomes, but are not widely explored in respiratory diseases. We aimed to describe their volume and/or accumulation patterns in moderate-severe COPD, bronchiectasis and severe asthma using the accurate postural-based accelerometer activPAL, contrasting these values with a non-respiratory population. We also sought to test the cross-sectional associations of these behaviours with disease characteristics by diagnostic group, and as a combined label-free disease group. RESULTS: Adults with COPD (n = 64), bronchiectasis (n = 61), severe asthma (n = 27), and controls (n = 61) underwent cross-sectional measurements of volume and/or accumulation patterns of ST and LIPA. The prevalence and characteristics, and associations with exercise capacity, health-status, airflow-limitation, dyspnoea, systemic inflammation and exacerbations were analysed. ST volumes in COPD were higher than that of bronchiectasis and severe asthma. Values in bronchiectasis and severe asthma were similar to each other and controls (≈8.9 h/day). Their accumulation patterns were also significantly better than in COPD, but similar if not worse compared to controls. LIPA volumes in bronchiectasis and severe asthma were also higher than those of COPD (p < 0.05) and controls. In bronchiectasis and COPD, lower levels/better patterns of ST accumulation, as well as higher LIPA volume were associated with better clinical characteristics. These associations may be mediated by airflow limitation. CONCLUSIONS: The discordance between engagement in ST volume versus ST patterns highlights the importance of accounting for both these different yet complementary metrics. ST and LIPA are low-intensity activities associated with important clinical characteristics in people with chronic respiratory diseases. TRIAL REGISTRATION: Not applicable.

Community-Based Approaches to Reducing Health Inequities and Fostering Environmental Justice through Global Youth-Engaged Citizen Science.

Growing socioeconomic and structural disparities within and between nations have created unprecedented health inequities that have been felt most keenly among the world's youth. While policy approaches can help to mitigate such inequities, they are often challenging to enact in under-resourced and marginalized communities. Community-engaged participatory action research provides an alternative or complementary means for addressing the physical and social environmental contexts that can impact health inequities. The purpose of this article is to describe the application of a particular form of technology-enabled participatory action research, called the Our Voice citizen science research model, with youth. An overview of 20 Our Voice studies occurring across five continents indicates that youth and young adults from varied backgrounds and with interests in diverse issues affecting their communities can participate successfully in multiple contributory research processes, including those representing the full scientific endeavor. These activities can, in turn, lead to changes in physical and social environments of relevance to health, wellbeing, and, at times, climate stabilization. The article ends with future directions for the advancement of this type of community-engaged citizen science among young people across the socioeconomic spectrum.

Mortality Effects of Hypothetical Interventions on Physical Activity and TV Viewing.

INTRODUCTION: Long-term effects of physical activity and television (TV) viewing on mortality have been inferred from observational studies. The associations observed do not allow for inferences about the effects of population interventions and could be subject to bias due to time-varying confounding. METHODS: Using data from the Australian Diabetes, Obesity and Lifestyle Study, collected in 1999-2000 (T0), 2004-2005 (T1), and 2011-2012 (T2), we applied the parametric g-formula to estimate cumulative risks of death under hypothetical interventions on physical activity and/or TV viewing determined from self-report while adjusting for time-varying confounding. RESULTS: In the 6377 participants followed up for 13 yr from 2004 to 2005 to death or censoring in 2017, 781 participants died. The observed cumulative risk of death was 12.2%. The most effective hypothetical intervention was to increase weekly physical activity to >300 min (risk ratio (RR), 0.66 (0.46-0.86) compared with a "worst-case" scenario; RR, 0.83 (0.73-0.94) compared with no intervention). Reducing daily TV viewing to <2 h in addition to physical activity interventions did not show added survival benefits. Reducing TV viewing alone was least effective in reducing mortality (RR, 0.85 (0.60-1.10) compared with the worst-case scenario; RR, 1.06 (0.93-1.20) compared with no intervention). CONCLUSIONS: Our findings suggested that sustained interventions to increase physical activity could lower all-cause mortality over a 13-yr period, and there might be limited gain from intervening to reduce TV viewing time in a relatively healthy population.

Device-measured sedentary behavior and physical activity in older adults differ by demographic and health-related factors.

BACKGROUND: Our aim was to describe and explore older adults' device-measured sedentary behavior and physical activity (PA) pattern by sex, age, education, marital status, body mass index, and physical function; and to assess agreement regarding fulfillment of PA recommendations, i.e. 150 min/week of moderate-to-vigorous intensity PA (MVPA), between device-measured and self-reported PA. METHOD: We included 656 older adults (64% women), aged 66, 81-87 or ≥ 90 years from a Swedish population-based cohort study. The activPAL3 accelerometer provided information on sedentary behavior (sedentary time, sedentary bouts, sit-to-stand transitions) and PA. Stepping ≥100 steps/min was considered MVPA; standing and stepping < 100 steps/min were considered light-intensity PA (LPA). Self-reported PA was compared with min/week in MVPA and steps/day. RESULTS: On average, 60% of wear time was spent sedentary, 36% in LPA, and 4% in MVPA. Relative to men, women, had significantly (p < 0.05) more sit-to-stand transitions, spent 33 min/day less sedentary and 27 min/day more in LPA, and were more likely to report meeting PA recommendations, but showed no difference in steps/day, MVPA, or sedentary bout duration. Older age was associated with more sedentary time, lower MVPA and fewer steps/day. The prevalence of meeting PA recommendations was 59% device-measured and 88% by self-report with limited agreement between methods (Cohen's Kappa = 0.21, Spearman's rho = 0.28). Age differences were much more pronounced with objective measures than by self-report. CONCLUSIONS: We found significant sex differences in sedentary behavior and time in LPA in older adults, but not in MVPA, in contrast to previous findings. Sedentary time increased with age, with small differences in accumulation pattern. MVPA time was lower with older age, obesity, and poor physical function. A majority of the participants > 80 years did not meet the PA recommendations. Given the strong relationships between sedentary behavior, PA and health in older adults, programs are needed to address these behaviors. Agreement between device-measured and self-reported fulfillment of PA recommendations was limited. Device-based measurement adds value to PA studies, providing richer and different data than self-report.

The short-term effects of sedentary behaviour on cerebral hemodynamics and cognitive performance in older adults: a cross-over design on the potential impact of mental and/or physical activity.

BACKGROUND: Sedentary behaviour might be a potential risk factor for cognitive decline. However, the short-term effects of sedentary behaviour on (cerebro) vascular and cognitive performance in older people are unknown. METHODS: We used a cross-over design with 22 older adults (78 years, 9 females) to assess the short-term hemodynamic and cognitive effects of three hours uninterrupted sitting and explored if these effects can be counteracted with regular (every 30 min) two-minute walking breaks. In addition, we investigated if low versus high mental activity during the three hours of sitting modified these effects. Before and after each condition, alertness, executive functioning, and working memory were assessed with the Test of Attentional Performance battery. Additionally, cerebral blood flow velocity (Transcranial Doppler) and blood pressure (Finapres) were measured in rest, and during sit-to-stand and CO2 challenges to assess baroreflex sensitivity, cerebral autoregulation, and cerebral vasomotor reactivity. RESULTS: No short-term differences were observed in cognitive performance, cerebral blood flow velocity, baroreflex sensitivity, cerebral autoregulation, or cerebral vasomotor reactivity across time, or between conditions. Blood pressure and cerebrovascular resistance increased over time (8.6 mmHg (5.0;12.1), p < 0.001), and 0.23 in resistance (0.01;0.45), p = 0.04). However, these effects were not mitigated by mental activity or by short walking breaks to interrupt sitting. CONCLUSIONS: In older individuals, three hours of sitting did not influence cognitive performance or cerebral perfusion. However, the sitting period increased blood pressure and cerebrovascular resistance, which are known to negatively impact brain health in the long-term. Importantly, we found that these effects in older individuals cannot be mitigated by higher mental activity and/or regular walking breaks. TRIAL REGISTRATION: Clinical trial registration URL: https://www.toetsingonline.nl/. Unique identifier: NL64309.091.17. Date of registration: 06-02-2018.

Reducing Sitting Time in Obese Older Adults: The I-STAND Randomized Controlled Trial.

BACKGROUND: The authors tested the efficacy of the "I-STAND" intervention for reducing sitting time, a novel and potentially health-promoting approach, in older adults with obesity. METHODS: The authors recruited 60 people (mean age = 68 ± 4.9 years, 68% female, 86% White; mean body mass index = 35.4). The participants were randomized to receive the I-STAND sitting reduction intervention (n = 29) or healthy living control group (n = 31) for 12 weeks. At baseline and at 12 weeks, the participants wore activPAL devices to assess sitting time (primary outcome). Secondary outcomes included fasting glucose, blood pressure, and weight. Linear regression models assessed between-group differences in the outcomes. RESULTS: The I-STAND participants significantly reduced their sitting time compared with the controls (-58 min per day; 95% confidence interval [-100.3, -15.6]; p = .007). There were no statistically significant changes in the secondary outcomes. CONCLUSION: I-STAND was efficacious in reducing sitting time, but not in changing health outcomes in older adults with obesity.

Objectively-Measured Activity Patterns are Associated with Home Blood Pressure in Memory Clinic Patients.

BACKGROUND: Physicians are cautious to prescribe antihypertensive drugs in frail older adults because of the potential adverse effects, especially in those with cognitive complaints. Lifestyle aspects might provide safe targets to lower blood pressure in older adults. OBJECTIVE: Our goal was to evaluate the associations between activity patterns and blood pressure in memory clinic patients. METHODS: We used an observational cross-sectional study to measure activity patterns with the ActivPAL accelerometer, and simultaneous home blood pressure levels in memory clinic patients (age range 51-87 years old). Office blood pressure was assessed during routine clinical practice. RESULTS: 41 patients (mean age of 74.3 (7.7) years of age, 46% female) were included. Sedentary parameters were associated with higher mean home blood pressure, with the strongest correlation between more prolonged sitting bouts and higher SBP (r = 0.58, p < .0001). Physical activity parameters were negatively associated with mean home blood pressure. Adjusted regression estimates remained significant, showing, e.g., a 4.5 (95% CI = 1.6;7.4) mmHg increase in SBP for every hour of sitting per day and a -1.0 (95% CI = -1.8;-0.2) mmHg decrease in DBP for every additional 1000 steps per day. No strong correlations were found between any of the activity pattern variables and office blood pressure. CONCLUSION: Associations between activity pattern variables and blood pressure were only found with home blood pressure measurements, not with office measurements. Longitudinal evaluations of these associations are now needed to explore if reducing prolonged sedentary bouts and increasing step count indeed serve as safe targets to lower blood pressure.