Exploring the context of sedentary behaviour in older adults (what, where, why, when and with whom)

Sedentary behaviour among elderly patients after total knee arthroplasty and its influencing factors

To understand the status of sedentary behaviour in elderly patients after total knee arthroplasty and analyse its influencing factors so as to provide a reference for developing targeted interventions. Conveniently selected elderly patients undergoing total knee arthroplasty (> 6 months) in a tertiary hospital in Jiangsu Province were investigated using a general information questionnaire, the Charlson Comorbidity Index, patients' self-reported sedentary behaviour information, the WOMAC Score, The Groningen Orthopaedic Social Support Scale, and Lee's Fatigue. The median daily sedentary time was 5.5 h (4.5 h, 6.625 h) in 166 elderly patients after total knee arthroplasty, of whom 82 (49.40%) showed sedentary behaviour (≥ 6 h per day). Logistic regression analysis showed that being retired/unemployed (OR = 8.550, 95% CI 1.732-42.207, P = 0.0084), having a CCI score ≥ 3 (OR = 9.018, 95% CI 1.288-63.119, P < 0.0001), having high WOMAC scores (OR = 1.783, 95% CI 1.419-2.238, P < 0.0001), having a high social support score (OR = 1.155, 95% CI 1.031-1.294, P = 0.0130), and having a fatigue score ≥ 5 (OR = 4.848, 95% CI 1.084-21.682, P = 0.0389) made patients more likely to be sedentary. The sedentary time of elderly patients after total knee arthroplasty is long, and sedentary behaviour is common among them. Healthcare professionals should develop targeted sedentary behaviour interventions based on the influencing factors of sedentary behaviour in order to reduce the occurrence of sedentary behaviour in elderly patients after total knee arthroplasty.

Exploring the perspectives of older adults who are pre-frail and frail to identify interventions to reduce sedentary behaviour and improve mobility: a thematic content analysis

Older adults who are frail are one of the most sedentary and the least physically active age groups. Prolonged sedentary time is associated with increased risk of negative health outcomes. To help design effective and sustainable content and optimize the uptake of sedentary behaviour interventions, an in-depth understanding of older adults' perceptions of sedentary behaviour is needed; however, most qualitative studies have been conducted in healthy older adults. The aim of this study was to explore perspectives of sedentary behaviour within the context of older adults who are pre-frail and frail after the winter and spring. We included participants if they: (1) spoke English or attended with a translator or caregiver, (2) were ≥ 60 years, and (3) were frail on the Morley Frail Scale. We utilized a qualitative description methodology including a semi-structured in-depth interview and thematic content analysis. Concepts from the COM-B (Capability Opportunity Motivation-Behaviour) model were used to guide the semi-structured interviews and analysis. To ensure credibility of the data, we used an audit trail and analyst triangulation. We recruited 21 older adults (72 ± 7.3 years, 13 females, 13 frail) from southwestern Ontario, Canada. Two individuals were lost to follow-up due to medical mistrust and worse health. We transcribed 39 audio recordings. We identified three salient themes: (1) older adults rationalize their sedentary behaviours through cognitive dissonance (reflective motivation), (2) urban cities in southwestern Ontario may not be "age-friendly" (physical opportunity), and (3) exercise is something people "have to do", but hobbies are for enjoyment despite medical conditions (psychological capability). Perspectives of sedentary behaviour were different in the winter versus spring, with participants perceiving themselves to be less active in winter. Incorporating dissonance-based interventions as part of an educational program could be used to target the reflective motivation and psychological capability components. Future research should consider interdisciplinary collaborations with environmental gerontology to develop age-friendly communities that promote meaningful mobility to target physical opportunity.

Is education level, as a proxy for socio-economic position, related to device-measured and self-reported sedentary behavior in European older adults? A cross-sectional study from the SITLESS project

Background

Sedentary behavior (SB) is a determinant of health in older adult people. Educational level is a primary driver of health disparities and is demonstrated to be a reliable measure of socioeconomic position. We aimed to examine the associations between educational level and self-reported along with device-measured SB in older adults living in Europe and the association of mentally active and passive SB domains with the educational level and gender in these associations.

Methods

The design is cross-sectional. One thousand three hundred and sixty participants aged 65 and over (75.3±6.3 years old, 61.8% women) participated. Inclusion criteria were scored with the Short Physical Performance Battery. Variables that describe the sample were assessed with an interview, and device-measured SB was assessed with an accelerometer. SB was assessed with the Sedentary Behavior Questionnaire and an accelerometer. Multiple linear regression models were used to study the association between the level of education and SB.

Results

Participants self-reported an average of 7.82 (SD: 3.02) daily waking hours of SB during weekend days, and the average of device-measured SB was 11.39 (1.23) h. Total mentally active SB (weekdays and weekends) was associated with the education level (p < 0.000). Participants were more sedentary during the week than during weekends, regardless of level of education (p < 0.000). Education level was significantly associated with self-reported mean hours per day in 46SB (p = 0.000; R=0.026; 95%CI).

Conclusion

Low education level in older adults is associated with self-reported SB but not with objective SB measures.

Comparison of national and international sedentary behaviour and physical activity guidelines for older adults: A systematic review and quality appraisal with AGREE II

Most older adults 65 years and older accumulate over 8.5 hours/day of sedentary time, which is associated with increased risk of metabolic syndromes and falls. The impact of increased sedentary time in older adults has prompted development of sedentary behaviour guidelines. The purpose of our review was to compare national and international sedentary behaviour and physical activity guidelines for older adults and appraise the quality of guidelines using AGREE II. We conducted our search in Medline, Embase, Global Health, Web of Science, CINAHL, and relevant grey literature. We included the most recent guidelines for older adults written in English. We identified 18 national and international guidelines; ten of the 18 guidelines included sedentary behaviour recommendations while all 18 included physical activity recommendations for older adults. The ten sedentary behaviour guidelines were developed using cohort studies, knowledge users' opinions, systematic reviews, or other guidelines while the physical activity guidelines were developed using randomized controlled trials, systematic reviews, meta-analysis, and overview of reviews. The definition of sedentary behaviour and the recommendations were inconsistent between the guidelines and were based on very low to low quality and certainty of evidence. All guidelines provided consistent recommendations for aerobic and resistance training; the recommendations were developed using moderate to high quality and certainty of evidence. Only eight physical activity guidelines provided recommendations for balance training and six on flexibility training; the balance training recommendations were consistent between guidelines and based on moderate quality evidence. Further work is needed to develop evidenced-based sedentary behaviour recommendations and flexibility training recommendations for older adults.

Older adults' perspectives on physical activity and sedentary behaviour within their home using socio-ecological model

BACKGROUND

There are few studies that focus explicitly on the impact of the home environment on older adults' sedentary behaviour (SB) and physical activity (PA) using the socio-ecological model (SEM). This study aims to investigate older adults' PA and SB within the home environment integrating the SEM as a theoretical framework.

METHODS

A qualitative exploratory research design was employed to conduct 33 in-depth interviews (IDIs) and five focus group (FGs; n = 16) with multi-diverse ethnic older adults (mean age 72±5 years). Using reflexive thematic analysis themes were generated from the data set and were interpreted using the SEM.

RESULTS

The findings indicate that different levels of the SEM had an impact on older adults' PA and SB. These include the 1) Individual level: Attitude, perception and motivation 2) Interpersonal level: Family and Friends: a motive to remain active 3) Organisational level: healthcare institutes, 4) Community level factors: Significance of social groups, 5) Physical Environment: Microenvironment and 6) Policy level factors (lockdown restrictions and healthcare system). This model can be utilised to foster activity within the home by focusing on the facilitators and barriers identified at each of these levels of influence.

CONCLUSION

The study findings suggest that modifying PA and SB in the home environment is complex and is influenced across different levels of the SEM. Therefore, a holistic approach is required that integrates these multiple influences. This understanding can inform the design of interventions that seek to optimize PA and minimize SB within the home environment.

Does the built environment influence location- and trip-based sedentary behaviors? Evidence from a GPS-based activity space approach of neighborhood effects on older adults

OBJECTIVE

Evidence on the influence of built environments on sedentary behaviors remains unclear and is often contradictory. The main limitations encompass the use of self-reported proxies of sedentary time (ST), the scarce consideration of the plurality of sedentary behaviors, and environmental exposures limited to the residential neighborhood. We investigated the relationships between GPS-based activity space measures of environmental exposures and accelerometer-based ST measured in total, at the place of residence, at all locations, and during trips.

METHODS

This study is part of the CURHA project, based on 471 older adults residing in Luxembourg, who wore a GPS receiver and a tri-axial accelerometer during 7 days. Daily ST was computed in total, at the residence, at all locations and during trips. Environmental exposures included exposure to green spaces, walking, biking, and motorized transportation infrastructures. Associations between environments and ST were examined using linear and negative binomial mixed models, adjusted for demographics, self-rated health, residential self-selection, weather conditions and wear time.

RESULTS

Participants accumulated, on average, 8 h and 14 min of ST per day excluding sleep time. ST spent at locations accounted for 83 % of the total ST. ST spent at the residence accounted for 87 % of the location-based ST and 71 % of the total ST. Trip-based ST represents 13 % of total ST, and 4 % remained unclassified. Higher street connectivity was negatively associated with total ST, while the density of parking areas correlated positively with total and location-based ST. Stronger associations were observed for sedentary bouts (uninterrupted ST over 20 and 30 min).

CONCLUSION

Improving street connectivity and controlling the construction of new parking, while avoiding the spatial segregation of populations with limited access to public transport, may contribute to limit ST. Such urban planning interventions may be especially efficient in limiting the harmful uninterrupted bouts of ST among older adults.

Free Time in Old Age: Does Health Status Determine the Choice of Leisure Activities in Indonesia?

This paper examines which leisure activities appear more attractive to older people, considering health status, disability and demographic-socio-economic and environmental variables. It employed data from Survei Penduduk Antar Sensus (SUPAS), the nationwide survey, conducted in 2015 by Indonesia's national statistical office. The sample selected 228,718 individuals aged 60 years old and above. Leisure activities were differentiated between active, sedentary, and no leisure activities. Health is measured with both health status and disability. Disability measures were adopted from Washington Group Short Set on Functioning-Enhanced (WG-SS Enhanced). Our multinomial regression models confirmed that health status was correlated with the choice of leisure activities in old age. Compared to older persons in good health, those reported in poor health without disruption to daily life were more likely to participate in sedentary or active leisure, but those with disruption to daily life were less likely to do so. Older persons with disability were disadvantaged in participating in either passive or active leisure. However, among all selected variables, employment and source of finance had the highest odds ratios and confounded the relationship between health and leisure activity.

Effectiveness of Interventions for Reducing Sedentary Behaviour in Older Adults Living in Long-Term Care Facilities: A Protocol for a Systematic Review

Background. Sedentary behaviour (SB) is an important risk factor for several health-related outcomes. The prevalence of SB is alarmingly high in older adults, who spend on average 9.4 h being sedentary each day, making them the most sedentary of all age groups. Objectives. The primary objective of this review is to assess the impact of interventions aimed at reducing SB in older adults (aged 60 years and older) living in long-term care facilities (LTCFs). The research question for this systematic review is as follows: in older people living in LTCFs, do interventions aimed at reducing SB, compared to usual care, result in a decrease in SB daily time or a reduction in the length of prolonged and uninterrupted sitting bouts? Data sources. Only peer-reviewed articles will be included in this systematic review, articles will be identified using the PICO method in seven different databases. Participants and interventions. Any primary intervention study (including randomized controlled trials, non-randomized controlled trials, and cohort studies) with the aim to reduce SB daily time or shorten the length of prolonged and uninterrupted sitting bouts in older adults living in LTCFs will be included. After searching databases, abstracts of the studies will be screened, and, after retrieving full text articles, data extraction will be conducted by two independent reviewers. Study appraisal and synthesis methods. The review will adhere to PRISMA reporting guidelines. Risk of bias (RoB) will be assessed using ROBINS-I or the RoB 2.0 tool and will be discussed with a third reviewer. The data will be grouped according to study design, with separate analysis for randomised and non-randomised designs. Results. The primary outcomes will be SB or time spent sedentary, assessed before and after the intervention. For the outcomes with the same measurement units, the pooled mean differences will be calculated. Standardised mean differences will be calculated for the outcomes with different measurement units. The data not suitable in numbers will be synthesised narratively. The strength of evidence of the outcomes will be assessed using GRADE assessment. If the data are suitable for quantitative analysis, we plan to use the Revman software to conduct a meta-analysis. Conclusions and implications of key findings. This protocol can serve as a valuable resource for other researchers interested in conducting similar systematic reviews or meta-analyses in the field of SB and older adult health.

Validation of foot plantar pressure sensor data used to estimate standing, sitting, and moving durations in one working day

BACKGROUND

Maintaining immovable postures for long durations might be a cause of low back pain. However, the relation between low back pain and the maintenance of postures for long durations has been unclear. Therefore, the durations of several postures in one working day should be measured to evaluate the risk of low back pain, although the available measuring methods are limited. To the best of our knowledge, no study has reported the development and investigation of a foot plantar pressure sensor for measurement of standing, sitting, and moving durations in daily work routines. Thus, in this study, we aimed to develop a foot plantar pressure sensor that could withstand long-term loads in the workplace. Furthermore, we aimed to evaluate the estimated results of standing, sitting, and moving durations among factory workers using the developed foot plantar pressure sensor.

METHODS

The developed foot plantar pressure sensor obtained a percentage difference within ±5% to estimate standing, sitting, and moving durations in the laboratory. We measured foot plantar pressures of 20 factory workers to estimate standing, sitting, and moving activity in one working day using data obtained by the foot plantar pressure sensor. The estimated standing, sitting, and moving durations were compared with the human estimation of photo data obtained by a wearable camera.

RESULTS

The agreement rate (Cohen's kappa coefficient) was 0.75 between the evaluation using the foot plantar pressure sensor data and human estimation using a wearable camera. Cohen's kappa coefficient was 0.81 in subjects who sat for ≥30% during daily work and 0.68 in subjects who sat for <30%.

CONCLUSION

Our foot plantar pressure sensor effectively measured the standing, sitting, and moving durations in daily work that requires various movements and assumption of postures.

mHealth-Supported Interventions With Potential to Address Sedentary Behavior in Older Adults: A Scoping Review

Sedentary behavior (SB) is an independent risk for negative health outcomes in older adults. Mobile health (mHealth) technology has potential to address SB in this population. This scoping review aimed to describe, synthesize, and identify gaps in literature on mHealth-supported interventions with potential to reduce sedentariness in older people. Following an iterative search of five major databases, 13 studies were included in the final review. Only three papers described SB-related factors as the primary target of intervention. mHealth-Driven components were frequently paired with nonmobile approaches and aided self-regulation of physical activity as opposed to SB. Most SB-related outcomes were not statistically significant or were inconclusive. This scoping review revealed a paucity of research applying mHealth-supported approaches to directly overcome sedentariness in older people. Protocol studies included in the review provide evidence that efforts to address this research gap continue to be made, but the need for additional high-quality research remains.

People with Stroke Are Most Sedentary in the Afternoon and Evening

QUESTIONS

What are the daily temporal patterns of movement behaviours (sedentary time, light-intensity physical activity, and moderate-vigorous physical activity) in people with stroke? Do daily temporal patterns of sedentary time differ (a) between subgroups of people with different movement behaviour classifications and (b) over time during the first year after stroke?

DESIGN

This study represents secondary exploratory analyses from an observational, longitudinal cohort study (n = 197).

PARTICIPANTS

This study included people with first-ever stroke recruited from 4 hospitals in the Netherlands.

OUTCOME MEASURES

Movement behaviour was objectively measured using the Activ8 activity monitor within 3 weeks after hospital discharge and again at 6 and 12 months later.

RESULTS

Participants spent the least time sedentary in the morning with proportionally more sedentary time as the day progressed with maximal sedentary time seen in the evening hours. This pattern did not substantially change over time. Sedentary prolongers spent significantly more absolute time sedentary for each hour of the day, but the daily temporal pattern of sedentary time did not differ between this group and either "sedentary movers" or "sedentary exercisers."

CONCLUSION

People living at home after stroke are highly sedentary, particularly in the afternoons and evenings, and this pattern does not change during the first year after stroke. Clinicians should encourage people with stroke to find meaningful tasks to do during the day to reduce their sitting time. Researchers developing interventions to encourage people to sit less should include particular focus on the afternoon and evening time periods.

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 suggest the need to shift the research focus from chronic disease outcomes to more relevant outcomes 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. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Identifying conducive contexts and working mechanisms of sedentary behaviour interventions in older adults: a realist review protocol as part of the 'Stand UP Seniors' project

INTRODUCTION

Lifestyle behaviours, including sedentary behaviour, have been listed as key modifiable factors to promote healthy ageing. Sedentary behaviour is ubiquitous in older adults and has a strong link with age-related functional declines and chronic health conditions. Although several interventions have been developed aimed at the reduction of sedentary behaviour in older adults, little in-depth information is available on how these complex interventions work in different contexts. Therefore, the aim of our study was to unpack the mechanisms of how existing interventions aimed at the reduction of older adults' sedentary behaviour work or fail to work in particular contexts in order to optimise the development and implementation of future sedentary behaviour interventions.

METHODS AND ANALYSIS

A realist review will be conducted as a first part of the Stand UP Seniors (SUPS) project and will be structured as follows: (1) defining the scope of the review, (2) searching and appraising the evidence, (3) extracting data and synthesising the results, and (4) drawing conclusions and formulating recommendations. The result of this iterative process will be a final programme theory that can be used to identify which context triggers which mechanism, and in turn might elicit which outcome. The final programme theory will be used to inform the second and the third parts of the SUPS project, which are, respectively, the development and evaluation of a sedentary behaviour intervention in older adults.

ETHICS AND DISSEMINATION

Ethical approval is not required for the review. Dissemination of the realist review results, including the final programme theory, will occur through peer-reviewed publications and presentations at relevant conferences. The peer-reviewed realist review will be prepared according to the Realist and Meta-narrative Evidence Synthesis: Evolving Standards publication standards for realist syntheses.

PROSPERO REGISTRATION NUMBER

CRD42021248795.

Home-Based Monitoring of Eating in Adolescents: A Pilot Study

Objectives: To investigate eating episodes in a group of adolescents in their home-setting using wearable electromyography (EMG) and camera, and to evaluate the agreement between the two devices. Approach: Fifteen adolescents (15.5 ± 1.3 years) had a smartphone-assisted wearable-EMG device attached to the jaw to assess chewing features over one evening. EMG outcomes included chewing pace, time, episode count, and mean power. An automated wearable-camera worn on the chest facing outwards recorded four images/minute. The agreement between the camera and the EMG device in detecting eating episodes was evaluated by calculating specificity, sensitivity, and accuracy. Main results: The features of eating episodes identified by EMG throughout the entire recording time were (mean (SD)); chewing pace 1.64 (0.20) Hz, time 10.5 (10.4) minutes, episodes count 56.8 (39.0), and power 32.1% (4.3). The EMG device identified 5.1 (1.8) eating episodes lasting 27:51 (16:14) minutes whereas the cameras indicated 2.4 (2.1) episodes totaling 14:49 (11:18) minutes, showing that the EMG-identified chewing episodes were not all detected by the camera. However, overall accuracy of eating episodes identified ranged from 0.8 to 0.92. Significance: The combination of wearable EMG and camera is a promising tool to investigate eating behaviors in research and clinical-settings.

A qualitative exploration of perspectives of physical activity and sedentary behaviour among Indian migrants in Melbourne, Australia: how are they defined and what can we learn?

Background

Although perceptions of what constitutes physical activity (PA) may vary between culturally diverse populations, very little research has explored the perceptions of PA among Indian migrants. This study aimed to identify how PA and sedentary behaviour (SB) are defined and describe how these definitions are shaped by cultural background and migration among a sample of Indian migrants living in Australia.

Methods

Using an exploratory qualitative approach, semi-structured interviews were conducted with twenty-one Indian migrants living in Melbourne (10 men and 11 women; age range: 18 to 65 years). Interviews were audio-recorded and transcribed verbatim. Data were coded and analysed inductively using thematic analyses.

Results

Data revealed two emerging themes: 1) Holistic perspectives related to PA, where although the majority of participants described PA as “any sort of movement”, or “physical exercise”, several of these descriptions had interwoven ideas related to the mind (mind-body connect), social, cultural, and to the outdoor environment; 2) Broader perspectives for SB, where descriptions of SB as “not having movement”, “doing nothing” or “being lazy”, were shaped with ideas of purpose and duration. Women spoke about how their perspectives of PA and SB may be shaped by native Indian experiences, particularly the gender roles, social caste, and regional subcultural norms which they perceived were important to consider among women who migrate to western settings.

Conclusions

Cultural background is important in shaping the perspectives of PA and SB among Indian migrants in Australia. Practitioners and researchers should consider the varying perspectives of PA to communicate and promote PA among migrant populations more effectively.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12099-4.

Beliefs about Polypharmacy among Home-Dwelling Older Adults Living with Multiple Chronic Conditions, Informal Caregivers and Healthcare Professionals: A Qualitative Study

Although home-dwelling older adults are frequently assisted with polypharmacy management by their informal caregivers, they can still face medication-related problems. Identifying older adults’ and their informal caregivers’ beliefs about medication is a gateway to understanding and improving medication adherence. This study aimed to analyse beliefs about polypharmacy among home-dwelling older adults with multiple chronic conditions and their informal caregivers, focusing on their daily medication practices. Semi-structured interviews were conducted with 28 older adults, 17 informal caregivers, but also 13 healthcare professionals. Based on an inductive methodological approach, data were analysed using thematic content analysis. Interviews revealed the different attitudes adopted by older adults and their informal caregivers in relation to the treatment information provided by healthcare professionals. A variety of beliefs were identified and linked to medication adherence by examining daily medication practices. Polypharmacy was experienced as a habit but also an obligation, highlighting some of the strategies and negotiations underlying medication use at home. Collecting viewpoints from multiple stakeholders is an innovative way of accessing and analysing beliefs about polypharmacy. Daily medication practices provided information about medication beliefs and may contribute to developing targeted professional interventions that improve medication adherence.

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.

Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study

BACKGROUND

"Push" components of mobile health interventions may be promising to create conscious awareness of habitual sedentary behavior; however, the effect of these components on the near-time, proximal outcome, being breaks in sedentary behavior immediately after receiving a push notification, is still unknown, especially in older adults.

OBJECTIVE

The aims of this study are to examine if older adults break their sedentary behavior immediately after receiving personalized haptic feedback on prolonged sedentary behavior and if the percentage of breaks differs depending on the time of the day when the feedback is provided.

METHODS

A total of 26 Flemish older adults (mean age 64.4 years, SD 3.8) wore a triaxial accelerometer (Activator, PAL Technologies Ltd) for 3 weeks. The accelerometer generated personalized haptic feedback by means of vibrations each time a participant sat for 30 uninterrupted minutes. Accelerometer data on sedentary behavior were used to estimate the proximal outcome, which was sedentary behavior breaks immediately (within 1, 3, and 5 minutes) after receiving personalized haptic feedback. Generalized estimating equations were used to investigate whether or not participants broke up their sedentary behavior immediately after receiving haptic feedback. A time-related variable was added to the model to investigate if the sedentary behavior breaks differed depending on the time of day.

RESULTS

A total of 2628 vibrations were provided to the participants during the 3-week intervention period. Of these 2628 vibrations, 379 (14.4%), 570 (21.7%), and 798 (30.4%) resulted in a sedentary behavior break within 1, 3 and 5 minutes, respectively. Although the 1-minute interval did not reveal significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided, the 3- and 5-minute intervals did show significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided. Concretely, the percentage of sedentary behavior breaks was significantly higher if personalized haptic feedback was provided between noon and 3 PM compared to if the feedback was provided between 6 and 9 AM (odds ratio 1.58, 95% CI 1.01-2.47, within 3 minutes; odds ratio 1.78, 95% CI 1.11-2.84, within 5 minutes).

CONCLUSIONS

The majority of haptic vibrations, especially those in the morning, did not result in a break in the sedentary behavior of older adults. As such, simply bringing habitual sedentary behavior into conscious awareness seems to be insufficient to target sedentary behavior. More research is needed to optimize push components in interventions aimed at the reduction of the sedentary behavior of older adults.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04003324; https://clinicaltrials.gov/ct2/show/NCT04003324.

Accelerometer-Measured Sedentary and Physical Activity Time and Their Correlates in European Older Adults: The SITLESS Study

Background

Sedentary behavior (SB) and physical activity (PA) are important determinants of health in older adults. This study aimed to describe the composition of accelerometer-measured SB and PA in older adults, to explore self-reported context-specific SB, and to assess sociodemographic and functional correlates of engaging in higher levels of SB in participants of a multicenter study including four European countries.

Method

One thousand three hundred and sixty community-dwelling older adults from the SITLESS study (61.8% women; 75.3 ± 6.3 years) completed a self-reported SB questionnaire and wore an ActiGraph accelerometer for 7 days. Accelerometer-determined compositional descriptive statistics were calculated. A fixed-effects regression analysis was conducted to assess the sociodemographic (country, age, sex, civil status, education, and medications) and functional (body mass index and gait speed) correlates.

Results

Older adults spent 78.8% of waking time in SB, 18.6% in light-intensity PA, and 2.6% in moderate-to-vigorous PA. Accelerometry showed that women engaged in more light-intensity PA and walking and men engaged in higher amounts of moderate-to-vigorous PA. Watching television and reading accounted for 47.2% of waking time. Older age, being a man, single, taking more medications, being obese and overweight, and having a slower gait speed were statistically significant correlates of more sedentary time.

Conclusions

The high amount of SB of our participants justifies the need to develop and evaluate interventions to reduce sitting time. A clinically relevant change in gait speed can decrease almost 0.45 percentage points of sedentary time. The distribution of context-specific sedentary activities by country and sex showed minor differences, albeit worth noting.

The influence of context stability on physical activity and sedentary behaviour habit and behaviour: An ecological momentary assessment study

OBJECTIVES

This study used ecological momentary assessment (EMA) to empirically test the theoretical propositions that habit for and level of physical activity (PA) and sedentary behaviour (SB) should be associated with degree of context stability of those behaviours.

DESIGN

Older adults (N = 104) completed a 10-day EMA protocol and continuous accelerometer monitoring.

METHODS

As part of the EMA protocol older adults answered 6 EMA prompts per day to assess current behaviour as well as social and physical contexts of behaviour. Temporal context was determined via time stamps of EMA questionnaires. Context stability was calculated as the reversed entropy scores of the contexts (physical, social, temporal, behavioural [i.e., type]) of PA and SB weighted for total frequency of context prompts. Habit for PA and SB (operationalized as self-reported behavioural automaticity) was assessed via baseline questionnaire. An ActivPAL monitor was worn to assess average daily time spent in moderate-vigorous PA (MVPA), light PA, and SB, and number of sit-to-stand transitions.

RESULTS

More stable physical contexts for physical activity predicted more MVPA (β = 10.22) and more stable social contexts for sitting predicted more SB (β = 1.36). More variety of time people tended to report engaging in SB, the more SB engaged in (β = -13.76). No context stability scores predicted light PA, sit-to-stand transitions, or habit.

CONCLUSIONS

Although context stability was related to behaviour, this did not appear to be explained by habit, as habit did not differ by the degree of context stability surrounding bouts of PA or SB.

Sex-specific typologies of older adults' sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis

BACKGROUND

Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults' sedentary behavior, and to examine their associations with health-related and socio-demographic factors.

METHODS

Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances.

RESULTS

Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.

CONCLUSIONS

Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

The Effects of Displacing Sedentary Behavior With Two Distinct Patterns of Light Activity on Health Outcomes in Older Adults (Implications for COVID-19 Quarantine)

Rationale: The COVID-19 pandemic is limiting outdoor and community-based activities, especially for older adults owing to the requirement for self-isolation, potentially increasing prolonged sedentary behavior (SB). Given a poor tolerance for intense exercise, SB displacement with light intensity physical activity (LIPA) is a promising health enhancing alternative. Therefore, the aims of this study were to investigate the effects of two different types of SB displacement on health outcomes in older adults and any differential impact of associated LIPA pattern.

Method: 28 older women (age: 73 ± 5 years, height: 1.60 ± 0.07 m, weight: 67 ± 10 kg, and BMI: 26.1 ± 3.6 kg/m²) underwent overnight fasted dual energy x-ray absorptiometry (DEXA) imaging, blood sampling, and functional assessments before being randomly allocated to one of two groups: (1) single continuous bout of 45–50 min LIPA daily (n = 14); or (2) SB fragmentation (SBF; ~48 min LIPA daily, 2 min LIPA for every 30 min of SB; n = 14). Compliance was systematically monitored using tri-axial accelerometery. All measures were taken at weeks 0 and 8.

Results: Physical behavior significantly altered (decreased SB/increased LIPA; p < 0.05) and to a similar extent in both groups. We observed a significant reduction in serum triglycerides [p = 0.045, effect size (ɳ_p²) = 0.15; SBF: −0.26 ± 0.77 mmol/L, LIPA: −0.26 ± 0.51 mmol/L], improved 30 s sit-to-stand (STS) count (p = 0.002, ɳ_p² = 0.32, 2 ± 3 STS) and speed (p = 0.009, ɳ_p² = 0.35, −10 ± 33%), as well as increased average handgrip strength (p = 0.001, ɳ_p² = 0.45, 6 ± 12%), and gait speed (p = 0.005, ɳ_p² = 0.27, 0.09 ± 0.16 m/s) in both groups. Interestingly, SBF caused a greater increase in peak handgrip strength (8 ± 14%), compared to LIPA (2 ± 10%; p = 0.04, ɳ_p² = 0.38).

Conclusion: SB displacement induced significant improvements in fasting triglycerides, gait speed, as-well as STS endurance/speed in older women. Frequent vs. continuous SB displacement also caused greater increases in handgrip strength. While both SB displacement protocols display promise as efficacious home-based interventions for self-isolating older adults, our results would suggest a physical functioning advantage of the SBF protocol for certain outcomes.

Sedentary Behavior in Children by Wearable Cameras: Development of an Annotation Protocol

INTRODUCTION

There is increasing evidence that not all types of sedentary behavior have the same harmful effects on children's health. Hence, there has been a growing interest in the use of wearable cameras. The aim of this study is to develop a protocol to categorize children's wearable camera data into sedentary behavior components.

METHODS

Wearable camera data were collected in 3 different samples of children in 2014. A development sample (3 children aged 4-8 years) was used to design the annotation protocol. A training sample (4 children aged 10 years) was used to train 3 different coders. The independent reliability sample (14 children aged 9-11 years) was used for independent coding of wearable camera images and to estimate inter-rater agreement. Data were analyzed in 2018. Cohen's κ was calculated for every rater pair on a per-participant basis. Means and SDs were then calculated across per-participant κ scores.

RESULTS

A total of 41,651 images from 14 participants were considered for analysis. Inter-rater agreement over all raters over all the sedentary behavior components was almost perfect (mean κ=0.85, 95% CI=0.83, 0.87). Inter-rater reliability for screen-based sedentary behavior (mean κ=0.72, 95% CI=0.62, 0.82) and nonscreen sedentary behavior (κ=0.69, 95% CI=0.65, 0.72) showed substantial agreement. Inter-rater reliability for location (κ=0.91, 95% CI=0.88, 0.93) showed almost perfect agreement.

CONCLUSIONS

A reliable annotation protocol to categorize wearable camera data of children into sedentary behavior components was developed. Once applied to larger samples in children, this protocol can ultimately help to better understand the potential harms of screen time and sedentary behavior in children.

Practical Recommendations for Maintaining Active Lifestyle during the COVID-19 Pandemic: A Systematic Literature Review

Diminished volumes of habitual physical activity and increased sedentary levels have been observed as a result of COVID-19 home-confinement. Consequences of inactivity, including a higher mortality rate and poorer general health and fitness, have been reported. This systematic review aimed to provide practical recommendations for maintaining active lifestyles during pandemics. In May 2020, two electronic databases (PubMed; Web of Science) were used to search for relevant studies. A total of 1206 records were screened by two researchers. Thirty-one relevant studies were included in this systematic review, in which the methodological quality was assessed. With regard to six studies, which explicitly dealt with physical activity during COVID-19, the evidence level is classified by three articles to level II, and in the other three to level VI. Regarding the physical activity recommendations in these papers, three of them were classified to a medium, and the same number to a weak evidence base. Of the 25 papers which refer to other pandemics and/or isolation situations, one was classified to evidence level I, four were ranged to level II, three to level III, one to level V, and the others to level VI. This systematic review revealed that reduced physical activity levels are of serious concern during home confinement in pandemic times. The recommendations provided by many international organizations to maintain active lifestyles during these times mainly target the general population, with less consideration for vulnerable populations (e.g., older adults, people with health issues). Therefore, personalized and supervised physical activity programs are urgently needed, with the option to group-play physical activity programs (e.g., exergames). These can be assisted, delivered, and disseminated worldwide through information and communication technology solutions. If it is permitted and safe, being active outside in daylight is advised, with an effort level of mild to moderate using the rating of perceived exertion scale. Relaxation techniques should be integrated into the daily routine to reduce stress levels. On the evidence base and levels of the included articles in this review, the results need to be interpreted with caution. Given that policies are different across regions and countries, further research is needed to categorize recommendations according to different social-distancing scenarios.

Transition and factors associated with the level of physical activity combined with sedentary behavior of the elderly: A longitudinal study

Introduction:

Physical activity and sedentary behavior are emerging issues in public health, especially in developing countries.

Objective:

To verify transition and factors related to physical activity combined with sedentary behavior among the elderly followed for 24 months.

Materials and methods:

We conducted a longitudinal observational study with people aged 60 years or over living in the urban area of Uberaba, Brazil. We collected the data from sociodemographic, health, and physical tests in 2014 and 2016 using the Mini-Mental State Examination (MMSE), the Katz Index, the Lawton and Brody Scale, the Short Physical Performance Battery (SPPB), and the International Physical Activity Questionnaire (IPAQ). For the combined evaluation we considered a cutoff point of 150 minutes of physical activity per week and the percentile 75 (420 minutes/day) for sedentary behavior constituting the groups: Unsatisfactory (insufficient sum of physical activity and sedentary behavior), intermediate (loss of only one of the two components) and satisfactory (sufficient sum of physical activity and sedentary behavior). The statistical descriptive and inferential analysis was performed using the Statistical Package for Social Sciences^™, version 21.0, considering p<0.05.

Results:

Of the 374 elderly, 61 (16.3%) improved their physical activity and sedentary behavior condition, 226 (60.4%) remained in the same category and 87 (23.3%) got worse. Unsatisfactory levels of physical activity and sedentary behavior were related to the eldest group (p=0.031), the absence of professional activity (p<0.001), the dependence for instrumental activities of daily living (p=0.013), and a worse physical performance (p<0.001).

Conclusion:

Our results showed a relationship between sociodemographic and health factors with physical activity and sedentary behavior, reiterating the need for further research on the subject.

Magnitude and Composition of Sedentary Behavior in Older Adults Living in a Retirement Community

High amount of sedentary behavior (SB) has been associated with a multitude of adverse health events in older adults. There are limited data regarding SB in older adults living in retirement communities (RC). This study described the magnitude and composition of SB [non-screen sedentary time (NSST) and screen sedentary time (SST)] in older adults living in a RC and documented variation in this behavior as a function of demographic, health, health behavior and clinical variables. This cross sectional descriptive study enrolled and assessed 100 older males and females living a RC located in the Midwest region of United States. Participants completed a questionnaire for sample characterization and a SB questionnaire. Metric of SB (i.e., TST, NSST and SST) were analyzed overall and separated by the variables of interest. Participants reported on average 10 h/day of sedentary activity (65% on NSST and 35% on SST). Older adults reported to spend most of their awaking hours in activities such as reading, watching TV and computer use. Significant variations on NSST and SST were observed for gender, BMI, perceived health, mobility aid use and number of chronic diseases. These findings may help in the development of tailored strategies and interventions focusing on reducing SB in this particular under-researched subgroup.

Association of exercise with all-cause mortality in older Taipei residents

BACKGROUND

Human life expectancy has increased rapidly in recent decades. Regular exercise can promote health, but the effect of exercise on mortality is not yet well understood.

OBJECTIVE

To investigate the association of exercise with mortality in the older people.

METHODS

We used data from annual health check-ups of the older citizens of Taipei in 2006. Participants were interviewed by trained nurses using a structured questionnaire to collect data on demographics and lifestyle behaviours. Overnight fasting blood was collected for measuring blood glucose, liver and renal function and lipid profiles. Exercise frequency was categorised into no exercise, 1-2 times in a week and more than 3-5 times in a week. All-cause mortality was ascertained from the National Registration of Death. All participants were followed up until death or December 312012, whichever came first. Kaplan-Meier curves and Cox proportional hazard analysis were used to investigate the association between exercise and all-cause mortality.

RESULTS

In total, 42,047 older people were analysed; 22,838 (54.32%) were male and with a mean (SD) age of 74.58 (6.32) years. Kaplan-Meier curves of all-cause mortality stratified by exercise frequency demonstrated significant findings (Log-rank P < 0.01). Multivariate Cox regression analysis showed that older people with higher exercise levels had a significantly decreased risk of mortality (moderate exercise HR = 0.74, 95% CI: 0.68-0.81, high exercise HR = 0.65, 95% CI: 0.59-0.70) after adjusting for potential confounders, with a significant trend (P for trend<0.01).

CONCLUSIONS

Older people with increased exercise levels had a significantly decreased risk of all-cause mortality.

Older adults' construal of sedentary behaviour: Implications for reducing sedentary behaviour in older adult populations

Older adults are the most sedentary age group, with sedentary behaviour having negative health-related consequences. There is currently limited understanding of how older adults view sedentary behaviour. This study investigated older adults' understanding of the concept of sedentary behaviour. Semi-structured interviews were conducted with 22 community-dwelling older adults in urban North-West England, selected to be diverse in socio-economic background and activity levels. Interviews were recorded and transcribed verbatim. An inductive thematic analysis was conducted. Participants often construed sedentary behaviour as synonymous with a lack of physical activity, and many perceived reducing sedentary behaviour and increasing moderate-to-vigorous physical activity to be the same thing. Participants perceived the term 'sedentary' to have negative connotations and were often judgemental of people who engaged in high levels of sedentary behaviour. Most participants considered reducing sedentary behaviour to be of value, though more active individuals were unconvinced that reducing sedentary behaviour has value beyond the benefits of being physically active. Interventions may wish to provide education to address the misconception that increasing moderate-to-vigorous physical activity is necessary in order to reduce sedentary behaviour. Educating older adults on the independent health consequences of sedentary behaviour may also prove beneficial.

Pattern measures of sedentary behaviour in adults: A literature review

Objective

With sensors, we are increasingly able to assess sitting behaviour during the day. However, there is no consensus among researchers on the best outcome measures for representing the accumulation of sedentary time during the day.

Methods

We analysed the pattern measures of sedentary behaviour. Articles reporting patterns measures in adults, in which behaviour data was collected with a sensor were included. We discuss the strengths and weaknesses of the pattern measures of sedentary behaviour and provide recommendations for choosing objective measures of sedentary behaviour.

Results

Most studies report the number of sitting bouts during the day. Others focus on the number of breaks and/or periods of physical activity. Simple measures of sedentary behaviour were most popular. More complex pattern measures, such as the Gini index or the half-life bout duration, that capture the distribution of lengths of sitting periods in a single number, were reported sparsely. The sedentary patterns that were reported in the various studies were difficult to compare, due to the differences among measurement devices, data analysis protocols and a lack of basic outcome parameters such as total wear-time and total sedentary time.

Conclusions

Objective sedentary measures can be grouped into simple and complex measures of sedentary time accumulation during the day. These measures serve different goals. The answer to the question as to which measures are most suitable to report, is strongly dependent on the research question. We have shown that the reported measures were dependent on (a) the sensing method, (b) the classification method, (c) the experimental and data cleaning protocol and (d) the applied definitions of bouts and breaks. We recommend that studies should always report total wear-time, total sedentary time, number of bouts and at least one measure describing the diversity of bout lengths in the sedentary behaviour such as the half-life bout duration. Additionally, we recommend reporting the measurement conditions and data processing steps.

The Social Context of Sedentary Behaviors and Their Relationships With Health in Later Life

This study examined sedentary behaviors among older adults and explored associations with social context and health measures using cross-sectional data from the National Health and Aging Trends Study (N = 1,687). Multivariate models were estimated to explore associations of time in six sedentary behaviors (i.e., television watching, sitting and talking, hobbies, computer use, driving, and resting) with sociodemographic characteristics and level of social engagement and with health status. Results indicated substantial variability in sedentary behaviors, with television watching being the most frequent and resting the least frequent activities. Sedentary behaviors varied by sociodemographic characteristics, including age, race/ethnicity, and education, as well as by level of social engagement. Television watching and resting, but not other behaviors, were associated with poorer health. These findings help to unpack the role of social context in sedentary behaviors and could inform public health interventions aimed at reducing time spent in behaviors that are adversely associated with health.

Assessing Older Adults' Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators

Interest in global positioning system (GPS)-based mobility assessment for health and aging research is growing, and with it the demand for validated GPS-based mobility indicators. Time out of home (TOH) and number of activity locations (#ALs) are two indicators that are often derived from GPS data, despite lacking consensus regarding thresholds to be used to extract those as well as limited knowledge about their validity. Using 7 days of GPS and diary data of 35 older adults, we make the following three main contributions. First, we perform a sensitivity analysis to investigate how using spatial and temporal thresholds to compute TOH and #ALs affects the agreement between self-reported and GPS-based indicators. Second, we show how daily self-reported and GPS-derived mobility indicators are compared. Third, we explore whether the type and duration of self-reported activity events are related to the degree of correspondence between reported and GPS event. Highest indicator agreement was found for temporal interpolation (Tmax) of up to 5 h for both indicators, a radius (Dmax) to delineate home between 100 and 200 m for TOH, and for #ALs a spatial extent (Dmax) between 125 and 200 m, and temporal extent (Tmin) between 5 and 6 min to define an activity location. High agreement between self-reported and GPS-based indicators is obtained for TOH and moderate agreement for #ALs. While reported event type and duration impact on whether a reported event has a matching GPS event, indoor and outdoor events are detected at equal proportions. This work will help future studies to choose optimal threshold settings and will provide knowledge about the validity of mobility indicators.

Feasibility of Automated Cameras to Measure Screen Use in Adolescents

INTRODUCTION

The influence of screens and technology on adolescent well-being is controversial and there is a need to improve methods to measure these behaviors. This study examines the feasibility and acceptability of using automated wearable cameras to measure evening screen use in adolescents.

METHODS

A convenience sample of adolescents (aged 13-17 years, n=15) wore an automated camera for 3 evenings from 5:00pm to bedtime. The camera (Brinno TLC120) captured an image every 15 seconds. Fieldwork was completed between October and December 2017, and data analyzed in 2018. Feasibility was examined by quality of the captured images, wear time, and whether images could be coded in relation to contextual factors (e.g., type of screen and where screen use occurred). Acceptability was examined by participant compliance to the protocol and from an exit interview.

RESULTS

Data from 39 evenings were analyzed (41,734 images), with a median of 268 minutes per evening. The camera was worn for 78% of the evening on Day 1, declining to 51% on Day 3. Nearly half of the images contained a screen in active use (46%), most commonly phones (13.7%), TV (12.6%), and laptops (8.2%). Multiple screen use was evident in 5% of images. Within the exit interview, participants raised no major concerns about wearing the camera, and data loss because of deletions or privacy concerns was minimal (mean, 14 minutes, 6%).

CONCLUSIONS

Automated cameras offer a feasible, acceptable method of measuring prebedtime screen behavior, including environmental context and aspects of media multitasking in adolescents.

Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis

Background

Sedentary behavior occurs largely subconsciously, and thus specific behavior change techniques are needed to increase conscious awareness of sedentary behavior. Chief amongst these behavior change techniques is self-monitoring of sedentary behavior. The aim of this systematic review and meta-analysis was to evaluate the short-term effectiveness of existing interventions using self-monitoring to reduce sedentary behavior in adults.

Methods

Four electronic databases (PubMed, Embase, Web of Science, and The Cochrane Library) and grey literature (Google Scholar and the International Clinical Trials Registry Platform) were searched to identify appropriate intervention studies. Only (cluster-)randomized controlled trials that 1) assessed the short-term effectiveness of an intervention aimed at the reduction of sedentary behavior, 2) used self-monitoring as a behavior change technique, and 3) were conducted in a sample of adults with an average age ≥ 18 years, were eligible for inclusion. Relevant data were extracted, and Hedge’s g was used as the measure of effect sizes. Random effects models were performed to conduct the meta-analysis.

Results

Nineteen intervention studies with a total of 2800 participants met the inclusion criteria. Results of the meta-analyses showed that interventions using self-monitoring significantly reduced total sedentary time (Hedges g = 0,32; 95% CI = 0,14 − 0,50; p = 0,001) and occupational sedentary time (Hedge’s g = 0,56; 95% CI = 0,07 − 0,90; p = 0,02) on the short term. Subgroup analyses showed that significant intervention effects were only found if objective self-monitoring tools were used (g = 0,40; 95% CI = 0,19 − 0,60; p < 0,001), and if the intervention only targeted sedentary behavior (g = 0,45; 95% CI = 0,15-0,75; p = 0,004). No significant intervention effects were found on the number of breaks in sedentary behavior.

Conclusions

Despite the small sample sizes, and the large heterogeneity, results of the current meta-analysis suggested that interventions using self-monitoring as a behavior change technique have the potential to reduce sedentary behavior in adults. If future – preferably large-scale studies – can prove that the reductions in sedentary behavior are attributable to self-monitoring and can confirm the sustainability of this behavior change, multi-level interventions including self-monitoring may impact public health by reducing sedentary behavior.

Electronic supplementary material

The online version of this article (10.1186/s12966-019-0824-3) contains supplementary material, which is available to authorized users.

What Do Older People Do When Sitting and Why? Implications for Decreasing Sedentary Behavior

BACKGROUND AND OBJECTIVES

Sitting less can reduce older adults' risk of ill health and disability. Effective sedentary behavior interventions require greater understanding of what older adults do when sitting (and not sitting), and why. This study compares the types, context, and role of sitting activities in the daily lives of older men and women who sit more or less than average.

RESEARCH DESIGN AND METHODS

Semistructured interviews with 44 older men and women of different ages, socioeconomic status, and objectively measured sedentary behavior were analyzed using social practice theory to explore the multifactorial, inter-relational influences on their sedentary behavior. Thematic frameworks facilitated between-group comparisons.

RESULTS

Older adults described many different leisure time, household, transport, and occupational sitting and non-sitting activities. Leisure-time sitting in the home (e.g., watching TV) was most common, but many non-sitting activities, including "pottering" doing household chores, also took place at home. Other people and access to leisure facilities were associated with lower sedentary behavior. The distinction between being busy/not busy was more important to most participants than sitting/not sitting, and informed their judgments about high-value "purposeful" (social, cognitively active, restorative) sitting and low-value "passive" sitting. Declining physical function contributed to temporal sitting patterns that did not vary much from day-to-day.

DISCUSSION AND IMPLICATIONS

Sitting is associated with cognitive, social, and/or restorative benefits, embedded within older adults' daily routines, and therefore difficult to change. Useful strategies include supporting older adults to engage with other people and local facilities outside the home, and break up periods of passive sitting at home.

Domain-specific and total sedentary behaviors associated with psychological distress in older adults

Purpose: Time spent in sedentary behaviors has become a major public health problem, affecting both physical and mental conditions, which is regularly evident in older adults. The aim of this study was to explore the association between each domain-specific sedentary behavior (screen-time, leisure-time sedentary behavior and transport) and total sedentary behavior (sum of all indicators) with "high" psychological distress among older individuals. Patients and methods: In this cross-sectional study, we recruited 810 participants aged ≥85 (16% men) from 6 neighborhoods in the city of Zagreb. We used Measure of Older Adults' Sedentary Time sedentary behavior questionnaire to assess the time spent in a specific domain of sedentary behavior and Kessler K6 scale to assess the level of psychological distress. Participants who had a score ≥13 points were treated as those with "high" psychological distress. Generalized estimating equations with Poisson regression models and risk ratios were used to calculate the association. Results: After adjusting for sex, body mass index, sleep quality, self-rated health, material status, physical activity, diet and chronic diseases, participants categorized in the second, third and fourth quartile of screen-time, in the fourth quartile of leisure-time sedentary behavior and in the third and fourth quartile of total sedentary behavior were less likely to have "high" psychological distress. However, participants categorized in the fourth quartile of transport were more likely to have "high" psychological distress. Conclusion: Our study shows that more time spent in front of screens, leisure and in total sedentary behavior is associated with lower levels, while more time spent in transport is associated with higher levels of psychological distress, pointing out that the aforementioned associations remained even after adjusting for variables describing "general" physical health. Thus, strategies aiming to reduce the time spent in passive transport and enhance active transport in a sample of older adults are warranted.

Psychometric properties of home accessibility assessment tools: A systematic review

BACKGROUND.

Although home environment assessments are commonly performed by occupational therapists working in home care, use of nonstandardized measures created in-house or lack of measure use can cast a shadow over the quality of these assessments for people with disabilities. To ensure quality of home environment assessments, occupational therapists need standardized measures with demonstrated psychometric properties.

PURPOSE.

This study provides a critical appraisal of objective accessibility measures of the home environment.

METHOD.

A systematic review was undertaken for which three databases-CINAHL, PubMed, and Embase-were searched to identify accessibility measures of the home environment and evaluate their psychometric properties. Two authors independently assessed the quality of selected studies using the critical appraisal form for psychometric articles.

FINDINGS.

Ten studies discussing seven accessibility measures were identified and selected for this review. No measures showed strong evidence of both good reliability and validity. Only one study addressed the responsiveness of a measure of accessibility.

IMPLICATIONS.

As occupational therapists are specialists of the person-environment relationship, the lack of evidence of the psychometric properties of objective accessibility measures of the home environment harms evidence-based occupational therapy practice. This review identified the most promising assessment tools, but further research is needed.

Digital behavior change interventions to promote physical activity and/or reduce sedentary behavior in older adults: A systematic review and meta-analysis

BACKGROUND

Physical activity and sedentary behavior are modifiable risk factors for non-communicable disease and healthy ageing, however the majority of older adults remain insufficiently active. Digital behavior change interventions (DBCI) have the potential to reach many older adults to promote physical activity and reduce sedentary time. This study aims to assess the efficacy of DBCI interventions in older adults (≥50 years) on physical activity and sedentary behavior.

METHODS

A systematic review of major databases from inception to 03/2018 was undertaken. Randomized controlled trials (RCT) or pre-post interventions assessing effects of DBCI on physical activity and/or sedentary behavior in older adults (≥50 years) were included. Random effects meta-analyses were carried out.

RESULTS

Twenty-two studies were included, including 1757 older adults (mean age = 67 years, %male = 41), 68% showed moderate-high risk of bias. Meta-analyses suggested that DBCI increased total physical activity among RCT studies (n = 8) (SMD = 0.28; 95%CI 0.01, 0.56; p = 0.04) and pre-post studies (n = 6) (SMD = 0.25; 95%CI 0.09, 0.41; p = 0.002), increased moderate-to-vigorous physical activity (SMD = 0.47; 95%CI 0.32, 0.62, p < 0.001; MD = 52 min/week) and reduced sedentary time (SMD = -0.45; 95%CI -0.69, -0.19; p < 0.001; MD = 58 min/day). Reductions in systolic blood pressure (-11 bpm; p = 0.04) and improvements in physical functioning (p = 0.03) were also observed.

CONCLUSIONS

DBCI may increase physical activity and physical functioning, and reduce sedentary time and systolic blood pressure in older adults, however more high-quality studies are required.

Alzheimer’s Disease: Physical Activities as an Effective Intervention Tool - A Mini-Review

Background:

There are a few risk factors which definitely have an impact on the development of Alzheimer’s disease (AD). Those include genetics, gender, age, diabetes, head injuries, and lifestyle. Physical activity together with a healthy diet is part of people’s lifestyle. At present, there exist several research studies showing that the physical activities can be a good intervention tool in the delay of cognitive decline in AD.

Objective:

The aim of this study is to discuss a relationship between the physical activities and the delay and/or maintenance of cognitive decline in AD and the types of physical activities which are especially suitable for this delay.

Methods:

The method of this review study consists of a method of literature review analysing the data contained in the world’s prestigious scientific databases: PubMed, Springer, Web of Science and Scopus in the period of 2010 - 2015. In addition, a method of comparison of different research studies discussing various aspects and factors of the correlation of physical activities and AD is used.

Results:

The findings of this review confirm that in most cases, physical activities have a positive effect on the improvement of cognitive decline in AD.

Conclusion:

Although physical activities seem to be beneficial for people with AD, more convincing results, particularly in the area of specific types of exercises and their impact on slowing down the cognitive decline, respectively AD, are needed.

Factors influencing sedentary behaviour: A system based analysis using Bayesian networks within DEDIPAC

Background

Decreasing sedentary behaviour (SB) has emerged as a public health priority since prolonged sitting increases the risk of non-communicable diseases. Mostly, the independent association of factors with SB has been investigated, although lifestyle behaviours are conditioned by interdependent factors. Within the DEDIPAC Knowledge Hub, a system of sedentary behaviours (SOS)-framework was created to take interdependency among multiple factors into account. The SOS framework is based on a system approach and was developed by combining evidence synthesis and expert consensus. The present study conducted a Bayesian network analysis to investigate and map the interdependencies between factors associated with SB through the life-course from large scale empirical data.

Methods

Data from the Eurobarometer survey (80.2, 2013) that included the International physical activity questionnaire (IPAQ) short as well as socio-demographic information and questions on perceived environment, health, and psychosocial information were enriched with macro-level data from the Eurostat database. Overall, 33 factors were identified aligned to the SOS-framework to represent six clusters on the individual or regional level: 1) physical health and wellbeing, 2) social and cultural context, 3) built and natural environment, 4) psychology and behaviour, 5) institutional and home settings, 6) policy and economics. A Bayesian network analysis was conducted to investigate conditional associations among all factors and to determine their importance within these networks. Bayesian networks were estimated for the complete (23,865 EU-citizens with complete data) sample and for sex- and four age-specific subgroups. Distance and centrality were calculated to determine importance of factors within each network around SB.

Results

In the young (15–25), adult (26–44), and middle-aged (45–64) groups occupational level was directly associated with SB for both, men and women. Consistently, social class and educational level were indirectly associated within male adult groups, while in women factors of the family context were indirectly associated with SB. Only in older adults, factors of the built environment were relevant with regard to SB, while factors of the home and institutional settings were less important compared to younger age groups.

Conclusion

Factors of the home and institutional settings as well as the social and cultural context were found to be important in the network of associations around SB supporting the priority for future research in these clusters. Particularly, occupational status was found to be the main driver of SB through the life-course. Investigating conditional associations by Bayesian networks gave a better understanding of the complex interplay of factors being associated with SB. This may provide detailed insights in the mechanisms behind the burden of SB to effectively inform policy makers for detailed intervention planning. However, considering the complexity of the issue, there is need for a more comprehensive system of data collection including objective measures of sedentary time.

Framework, principles and recommendations for utilising participatory methodologies in the co-creation and evaluation of public health interventions

PLAIN ENGLISH SUMMARY

Background: Society has to cope with a large burden of health issues. There is need to find solutions to prevent diseases and help individuals live healthier lifestyles. Individual needs and circumstances vary greatly and one size fit all solutions do not tend to work well. More tailored solutions centred on individuals' needs and circumstances can be developed in collaboration with these individuals. This process, known as co-creation, has shown promise but it requires guiding principles to improve its effectiveness. The aim of this study was to identify a key set of principles and recommendations for co-creating public health interventions.Methods: These principles were collaboratively developed through analysing a set of case studies targeting different health behaviours (such as reducing sitting and improving strength and balance) in different groups of people (such as adolescent schoolgirls and older adults living in the community).Results: The key principles of co-creation are presented in four stages: Planning (what is the purpose of the co-creation; and who should be involved?); Conducting (what activities can be used during co-creation; and how to ensure buy-in and commitment?); Evaluating (how do we know the process and the outcome are valid and effective?) and Reporting (how to report the findings?). Three models are proposed to show how co-created solutions can be scaled up to a population level.Conclusions: These recommendations aim to help the co-creation of public health interventions by providing a framework and governance to guide the process.

ABSTRACT

Background: Due to the chronic disease burden on society, there is a need for preventive public health interventions to stimulate society towards a healthier lifestyle. To deal with the complex variability between individual lifestyles and settings, collaborating with end-users to develop interventions tailored to their unique circumstances has been suggested as a potential way to improve effectiveness and adherence. Co-creation of public health interventions using participatory methodologies has shown promise but lacks a framework to make this process systematic. The aim of this paper was to identify and set key principles and recommendations for systematically applying participatory methodologies to co-create and evaluate public health interventions. Methods: These principles and recommendations were derived using an iterative reflection process, combining key learning from published literature in addition to critical reflection on three case studies conducted by research groups in three European institutions, all of whom have expertise in co-creating public health interventions using different participatory methodologies. Results: Key principles and recommendations for using participatory methodologies in public health intervention co-creation are presented for the stages of: Planning (framing the aim of the study and identifying the appropriate sampling strategy); Conducting (defining the procedure, in addition to manifesting ownership); Evaluating (the process and the effectiveness) and Reporting (providing guidelines to report the findings). Three scaling models are proposed to demonstrate how to scale locally developed interventions to a population level. Conclusions: These recommendations aim to facilitate public health intervention co-creation and evaluation utilising participatory methodologies by ensuring the process is systematic and reproducible.

Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review

Background

Self-management is a critical component of chronic disease management and can include a host of activities, such as adhering to prescribed medications, undertaking daily care activities, managing dietary intake and body weight, and proactively contacting medical practitioners. The rise of technologies (mobile phones, wearable cameras) for health care use offers potential support for people to better manage their disease in collaboration with their treating health professionals. Wearable cameras can be used to provide rich contextual data and insight into everyday activities and aid in recall. This information can then be used to prompt memory recall or guide the development of interventions to support self-management. Application of wearable cameras to better understand and augment self-management by people with chronic disease has yet to be investigated.

Objective

The objective of our review was to ascertain the scope of the literature on the use of wearable cameras for self-management by people with chronic disease and to determine the potential of wearable cameras to assist people to better manage their disease.

Methods

We conducted a scoping review, which involved a comprehensive electronic literature search of 9 databases in July 2017. The search strategy focused on studies that used wearable cameras to capture one or more modifiable lifestyle risk factors associated with chronic disease or to capture typical self-management behaviors, or studies that involved a chronic disease population. We then categorized and described included studies according to their characteristics (eg, behaviors measured, study design or type, characteristics of the sample).

Results

We identified 31 studies: 25 studies involved primary or secondary data analysis, and 6 were review, discussion, or descriptive articles. Wearable cameras were predominantly used to capture dietary intake, physical activity, activities of daily living, and sedentary behavior. Populations studied were predominantly healthy volunteers, school students, and sports people, with only 1 study examining an intervention using wearable cameras for people with an acquired brain injury. Most studies highlighted technical or ethical issues associated with using wearable cameras, many of which were overcome.

Conclusions

This scoping review highlighted the potential of wearable cameras to capture health-related behaviors and risk factors of chronic disease, such as diet, exercise, and sedentary behaviors. Data collected from wearable cameras can be used as an adjunct to traditional data collection methods such as self-reported diaries in addition to providing valuable contextual information. While most studies to date have focused on healthy populations, wearable cameras offer promise to better understand self-management of chronic disease and its context.

Housing conditions and risk of physical function limitations: a prospective study of community-dwelling older adults

Background

Poor housing conditions have been associated with an increased risk of morbidity and mortality in old age.

Methods

Prospective cohort of 1602 older adults followed from 2012 to 2015. Poor conditions were defined as living in a walk-up building, lacking piped hot water or heating, feeling frequently cold at home, lacking a bathtub/shower, a refrigerator, a washing machine, an own room or a landline. Frailty was assessed with the Fried criteria, lower extremities performance with the Short Physical Performance Battery (SPPB), and disability in instrumental activities of daily living (IADL) with the Lawton and Brody questionnaire.

Results

During follow-up, 55 individuals (4.2%) developed frailty and 107 (7.2%) IADL disability. Mean (SD) SPPB values at baseline and at follow-up were 8.5 (2.5) and 8.6 (2.4), respectively. After multivariate adjustment, participants who lived in homes with ≥1 poor conditions showed a higher risk of frailty (odds ratio [OR] = 2.02; 95% confidence interval [95% CI]: 1.09-3.75) and transportation disability (OR = 3.50; 95% CI: 1.38-8.88). Lacking heating and feeling frequently cold were associated with an increased risk of exhaustion (OR = 2.34; 95% CI: 1.00-5.48) and transportation disability (OR = 3.31; 95% CI: 1.07-10.2), respectively.

Conclusions

Prevention programs targeting functional limitations in older adults should ensure that they live in suitable housing conditions.

Sedentary behavior and perceived stress among adults aged ≥50 years in six low- and middle-income countries

BACKGROUND

Sedentary behavior and perceived stress are both negatively associated with physical and mental health. Little is known about the association between sedentary behavior and perceived stress, and there is a particular paucity of data on people aged ≥50 years from low- and middle-income countries (LMICs).

METHODS

We analyzed cross-sectional, community-based data from 34,129 individuals aged ≥50 years [mean age 62.4 (SD = 16.0) years, 52% females] from six LMICs. Perceived stress was assessed using the Perceived Stress Scale and time spent sedentary per day was self-reported. Multivariable linear regression analyses were conducted, adjusting for important socio-economic and physical and mental health-related confounders.

RESULTS

The mean perceived stress score increased with greater sedentary time (38.4 for 0-<4 h/day to 54.2 for ≥11 h/day). In the fully adjusted model, 4-8, 8-11, and ≥11 h/day of sedentary behavior (SB) were associated with 1.97 (95%CI = 0.57-3.36), 7.11 (95%CI = 4.96-9.27), and 9.02 (95%CI = 5.45-12.59) times higher mean perceived stress scores, compared with 0-<4 h/day. Greater time spent sedentary was associated with higher perceived stress scores in all six countries, although the association in Mexico fell short of statistical significance.

CONCLUSION

This is the first multinational analysis to show that a greater amount of sedentary behavior is associated with higher levels of perceived stress among older adults in LMICs. Future research may examine the types and contexts of sedentary behavior, and explore the underlying mechanisms of the relationship.

Is sedentary behavior an intervening factor in the practice of physical activity in the elderly?

Abstract Objective: the present study aimed to analyze the association between current sedentary behavior and the practice of physical activity among elderly persons in the city of Maringá in the state of Paraná. Method: a cross-sectional study of 970 elderly subjects was carried out, using the International Physical Activity Questionnaire. Results: the modeling of structural equations revealed that the sedentary behavior has a significant effect (p <0.05) on the activities moderate and vigorous activities, explaining 3% and 4% of the variability of these variables. Specifically, it has been found that increased sedentary behavior has a (β = 0.13) and negative on vigorous activities (β = -0.21). Conclusion: the current state of sedentary behavior has a significant effect on moderate and vigorous activities.

[Daily activities assessed by a high-tech pattern-recognition monitor in older adults: preliminary findings from the IMPACT65+ study]

INTRODUCTION

Physical activity and physical inactivity patterns can affect health status. In the elderly people, their study is relevant given the importance that they have on the morbidity and mortality.

OBJECTIVE

To present preliminary data on activity and inactivity patterns of a sub-sample of older adults from the IMPACT65+ Study.

MATERIAL AND METHODS

The sample included the first 84 participants (57% women) over 65 years (age 70.7±4.7). Time spent in activity and inactivity patterns was obtained from an Intelligent Device for Energy Expenditure and Activity monitor over a continuous period of 24hours. The patterns analysed were: standing, lying down, sitting or reclining, and the transition between them. The physical activity patterns analysed were; walking, step up or step down, running, and jumping.

RESULTS

Time spent in inactivity patterns like reclining, lying down, and sitting was 16.1±1.9hours (67% day), while the amount of time spent in activity patterns was 2.4±1.9hours (10% day). Differences were observed between men and women in the amount of hours sitting (9.7±3 men vs. 7.5±2.7 women) and standing (4.5±1.4 men vs. 5.6±2.7 women). These differences were greater in the older participants.

CONCLUSIONS

Preliminary results show that older adults spend a great part of day in inactivity patterns like sitting, and that gender is the only factor analysed that affects the time spent in the activity patterns analysed.