Cluster-randomised trial on participatory community-based outdoor physical activity promotion programs in adults aged 65-75 years in Germany: protocol of the OUTDOOR ACTIVE intervention trial

Associations between older adults' physical fitness level and their engagement in different types of physical activity: cross-sectional results from the OUTDOOR ACTIVE study

OBJECTIVES

To describe the prevalence of different types of physical activities and to explore the association between engagement in these physical activities and performance in the physical fitness dimensions among older adults living in Bremen, Germany.

DESIGN

Cross-sectional study.

SETTING

Twelve subdistricts in Bremen, Germany.

PARTICIPANTS

1583 non-institutionalised adults aged 65-75 years residing in one of the 12 subdistricts in Bremen, Germany (53.1% female).

PRIMARY OUTCOME MEASURES

Level of physical fitness in five dimensions: handgrip strength (hand dynamometry), lower muscle strength (30 s-chair stand test), aerobic endurance (2 min-step test), lower body flexibility (sit-and-reach test), and upper body flexibility (back scratch test); classified using normative values.

RESULTS

In this study population, home-based activities (housework, gardening) and activities for transport (walking, cycling) were performed by nearly all the participants, while leisure activities were less prevalent. Logistic regression revealed a positive association between being in or over norm in handgrip strength with cycling (OR: 1.56, 95% CI: 1.13 to 2.15), hiking/running (OR: 1.50, 95% CI: 1.05 to 2.16) and other sports (OR: 3.22, 95% CI: 1.37 to 7.56). Lower muscle strength was positively related to cycling (OR: 1.91, 95% CI: 1.37 to 2.65), gym training (OR: 1.62, 95% CI: 1.16 to 2.26) and dancing (OR: 2.15, 95% CI: 1.00 to 4.61). Aerobic endurance was positively associated with cycling (OR: 1.90, 95% CI: 1.37 to 2.65), gym training (OR: 1.68, 95% CI: 1.20 to 2.36), aerobics (OR: 1.64, 95% CI: 1.19 to 2.26), dancing (OR: 2.62, 95% CI: 1.10 to 6.22) and ball sports (OR: 2.07, 95% CI: 1.30 to 3.29). Apart from housework and upper body flexibility (OR: 0.39, 95% CI: 0.19 to 0.78), flexibility dimensions did not show any significant associations.

CONCLUSIONS

While muscle strength dimensions and aerobic endurance were associated with several physical activities, flexibility dimensions were associated with none of the investigated activities apart from housework. Especially cycling and leisure activities (eg, hiking/ running, gym training, aerobics, dancing) showed great potential for sustaining and increasing physical fitness in older age.

The use of co-design in developing physical activity interventions for older adults: a scoping review

BACKGROUND

Promoting physical activity (PA) participation in older adults is important for preserving quality of life and functional independence. Co-design has been shown to increase engagement of end-users in health-related policies and interventions. This scoping review aimed to examine how co-design has been used to develop PA interventions for older adults.

METHODS

We searched MEDLINE, EMBASE, AMED, and CINAHL. Peer-reviewed primary research studies that met the following criteria were included: had at least one participant aged ≥60 years involved in the co-design process and the intervention was delivered to individuals whose mean age was ≥60, used co-design methodologies, and any form of PA. After duplicate removal, two or more independent reviewers completed title and abstract and full text screening. Data were extracted from the included studies according to study aims.

RESULTS

Of the 29 included studies, 12 different terms were used to describe co-design with variable operational definitions that we consolidated into five proposed components. Fifteen studies engaged users in a consultative way, 13 studies using collaboration, and one study engaged end-users in consumer-control. No studies involved end-users in the dissemination phase. Further, no studies directly measured the effectiveness of the co-design process. Five categories of barriers and facilitators to co-design were identified including frameworks and methodologies, logistics, relationships, participation, and generalizability.

CONCLUSIONS

There is a large degree of variability in how co-design is used to develop PA interventions for older adults. Our findings can be used by researchers to improve rigor and standardization in this emerging field.

TRIAL REGISTRATION

osf.io/vsw2m.

Meal Patterns of Older Adults: Results from the OUTDOOR ACTIVE Study

Eating habits have a substantial effect on health, not only because of consumed foods and nutrients, but also because of the regularity of meals. This study investigates meal patterns in older adults. Data from 1198 adults (52.8% female) aged between 65 and 75 years, who resided in Bremen, Germany, were included in this cross-sectional study. Using a self-administered questionnaire, daily meals were assessed and categorised into three meal pattern types: ‘regular eaters’ (eating at least three meals a day), ‘meal skippers’ (skipping one meal a day), and ‘irregular eaters’ (skipping more than one meal a day). Descriptive analyses were carried out, stratified by sex and meal pattern types. Most women and men were regular eaters (51.5% and 51.7%, respectively), 33.8% of women and 33.3% of men were meal skippers, and 14.7% of women and 15.0% of men were irregular eaters. Differences between meal patterns were seen with regard to socioeconomic status; self-rated health; body-mass index; hypertension; consumption of self-prepared meals; and consumption of whole-grain products, green vegetables, meat, and alcohol. The results provide first insights into possible associations between meal patterns and sociodemographic and health factors, and can benefit disease prevention and health promotion in older adults.

Associations between socioeconomic status and physical activity among older adults: cross-sectional results from the OUTDOOR ACTIVE study

BACKGROUND

Regular physical activity (PA) is an important strategy for healthy ageing. Socioeconomic status was found to be a key determinant of PA, however, evidence on associations between socioeconomic status and PA among older adults is limited. The aim of this study was to contribute to research on the associations of socioeconomic status and PA among older adults by including self-reported and objectively measured PA data. Furthermore, we examined the self-reported PA data more closely by looking at the activities separately.

METHODS

Cross-sectional data of 1507 participants (52.5% female) of the OUTDOOR ACTIVE study between 65 and 75 years, residing in Bremen, Germany, were included in the analyses. Self-reported PA was assessed via questionnaire and comprised all organised and non-organised activities. For analyses, mean hours per week of total and moderate to vigorous PA, and mean metabolic equivalents per week were used. Objectively measured PA was assessed using accelerometers over seven consecutive days. Socioeconomic status was included as an additive social class index containing education, income, and occupation. To test for associations between PA and socioeconomic status, linear regressions were carried out.

RESULTS

Self-reported PA showed significant negative associations with socioeconomic status for both men and women. Objectively measured PA was positively associated with socioeconomic status, which was significant in men but not in women. When examining physical activities separately, time spent on housework, gardening, biking, and walking decreased with increasing socioeconomic status. Women in the second SES quintile and men in the third quintile reported the most, and women in the first quintile and men in the fifth quintile the least hours per week spent on exercise.

CONCLUSIONS

The results of this study contributed to the existing research gap on the associations of socioeconomic status and PA among older adults. Moreover, we provided information on both self-reported and objectively measured PA, and showed the discrepancies in the two methods' results. These findings can help to develop PA promotion interventions targeting specific socioeconomic status groups and to develop accurate, valid, and reliable self-reported and objective measurements of PA for older adults.

Domain-specific life satisfaction among older adults with and without children: The role of intergenerational contact

BACKGROUND

Life satisfaction is associated with many important health outcomes among older adults and is an indicator of successful ageing. The present study aims to replicate earlier findings regarding relationships between satisfaction with various life domains and life satisfaction in older adults. The study furthermore explores how parental status is associated with satisfaction with different life domains and how two types of intergenerational contact (contact with own children; post-retirement work in childcare) relate to life satisfaction.

METHODS

Participants were 1978 older adults, aged 65-75 year (51.7% female), who live in Bremen and took part in the OUTDOOR ACTIVE study. 82.6% of the participants had one or more children. All participants completed a questionnaire, which among others comprised items assessing life satisfaction as well as satisfaction with six different life domains (satisfaction with living situation, financial situation, leisure time, health, family, neighbors and friends).

RESULTS

LS is significantly related to all of the investigated life domains, independent of sex and age. For the participants with children, life satisfaction had the highest association with satisfaction with family (β: 0.202; 95%CI: 0.170-0.235), followed by satisfaction with neighbors and friends (β: 0.151; 95%CI: 0.111-0.191), and health satisfaction (β: 0.148; 95%CI: 0.120-0.176). In comparison to that, participants without children had the highest association between life satisfaction and satisfaction with health (β: 0.193; 95%CI: 0.135-0.252), followed by satisfaction with family (β: 0.175; 95%CI: 0.114-0.236) and satisfaction with neighbors and friends (β: 0.154; 95%CI: 0.077-0.232). In participants with children, there was a non-significant negative association between life satisfaction and work in childcare (β: -0.031; 95%CI: -0.178-0.116), while life satisfaction was statistically significantly positively associated to work in childcare in participants without own children (β: 0.681; 95%CI: 0.075-1.288).

CONCLUSIONS

The results suggest that the domain-specific approach to life satisfaction can elucidate differences in the correlates of life satisfaction and well-being between older adults with and without children. They further suggest that the benefits of working with children for life satisfaction may be more pronounced in older adults without children than older adults with children.

Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study

The study of physical activity in older adults is becoming more and more relevant. For evaluation of physical activity recommendations, intensity-specific accelerometer cut-points are utilized. However, research on accelerometer cut-points for older adults is still scarce. The aim of the study was to generate placement-specific cut-points of ActiGraph GT3X+ activity counts and raw measures of acceleration to determine physical activity intensity in older adults. A further aim was to compare the validity of the generated cut-points for a range of different physical activities. The study was a single experimental trial using a convenience sample. Study participants were 20 adults aged 59 to 73 years. Accelerometers were worn at six different placements (one on each wrist, one on each ankle, and two at the hip) and breath-by-breath indirect calorimetry was used as the reference for energy. The experiment comprised of two parts; a) The first required participants to walk on a treadmill at incremental speeds (3.0-5.0 km·h-1), and b) Five different everyday activities (reading, cleaning, shopping, cycling, aerobics) were staged in the laboratory setting. Accelerometer cut-points (activity counts, raw data) were derived for each of the investigated placements by linear regression using the treadmill part. Performance of the cut-points was assessed by applying the cut-points to the everyday activities. We provide cut-points for six placements and two accelerometer metrics in the specific age group. However, the derived cut-points did not outperform published ones. More research and innovative approaches are needed for improving internal and external validity of research results across populations and age groups.

Sex- and age-specific normative values for handgrip strength and components of the Senior Fitness Test in community-dwelling older adults aged 65-75 years in Germany: results from the OUTDOOR ACTIVE study

BACKGROUND

Physical fitness is a key component of independent living and healthy ageing. For the measurement of physical fitness in older adults, the Senior Fitness Test is a commonly used tool. The objective of this study is to calculate sex- and age-specific normative values for handgrip strength and components of the Senior Fitness Test for older adults (65-75 years) in Germany.

METHODS

Cross-sectional data of 1657 community-dwelling older adults residing in Bremen, Germany (53% female) were included in this study. Physical fitness was assessed using the following measurements of the Senior Fitness Test battery: 30s-chair stand test, 2 min-step test, sit-and-reach test, and back scratch test. In addition, handgrip strength was measured using a Saehan DHD-3 digital hand dynamometer SH1003. Sex- and age specific normative values were calculated for the 1st, 3rd, 10th, 25th, 50th, 75th, 90th, 97th, and 99th percentile using the GAMLSS method.

RESULTS

The normative values show differences dependent on sex and age. For handgrip strength, the 30s-chair stand test and the 2 min-step test, normative values were higher for men, while women reached higher values in the sit-and-reach test and the back scratch test. For both, men and women, normative values declined with age.

CONCLUSIONS

This study provides sex- and age-specific normative values for handgrip strength and components of the Senior Fitness Test for older adults in Germany. They might be useful for future research and for the application in practice.

[Evidence-based primary prevention and health promotion: methods and procedures in 5 research consortia]

Von 2014 bis 2022 erforschen die 5 deutschen Forschungsverbünde AEQUIPA, CAPITAL4HEALTH, HLCA, PartKommPlus und SMARTACT Themen der Primärprävention und Gesundheitsförderung mit dem Ziel, die Evidenzgrundlagen in diesen Bereichen weiterzuentwickeln. In diesem Beitrag wird die Arbeit der 5 Forschungsverbünde für Primärprävention und Gesundheitsförderung unter dem Aspekt der Evidenzbasierung aus der internen Perspektive vorgestellt, analysiert und diskutiert. Als orientierender Rahmen dient ein Modell der evidenzbasierten Public Health.

Die 5 Forschungsverbünde nutzen für die Evidenzgenerierung vielfältige Zugangswege bzgl. der Beteiligung nichtakademischer, zivilgesellschaftlicher Akteur*innen und Nutzer*innen. Es finden sich vielfältige Studiendesigns, die von randomisiert kontrollierten Studien und systematischen Reviews zu diversen qualitativen Designs reichen. Die Nutzung von Modellen und Theorien unterstützt die Evidenzbasierung. Über die Evidenzentwicklung hinaus legen alle Verbünde einen Schwerpunkt auf die zumindest exemplarische Implementierung des neuen Wissens.

Durch die Methodenvielfalt kann eine breit gefächerte Evidenzbasierung unter Berücksichtigung verbundspezifischer Aspekte realisiert werden. Grenzen für eine weitere systematische Stärkung der Evidenzbasierung liegen in strukturellen Rahmenbedingungen. Insbesondere die Einbindung von nichtakademischen, zivilgesellschaftlichen Akteur*innen und Nutzer*innen für die Arbeit mit schwer erreichbaren Zielgruppen kann oft nicht ausfinanziert bzw. zeitlich berücksichtigt werden. Die COVID-19-Pandemie verdeutlicht die Wichtigkeit eines flexiblen Methodenspektrums, in dem ein sinnvolles Zusammenspiel von digitalen und analogen Methoden anzustreben ist.

Interventions Promoting Physical Activity Among Older Adults: A Systematic Review and Meta-Analysis

BACKGROUND AND OBJECTIVES

Frequent participation in physical activity (PA) has benefits across the lifespan but is particularly important for older adults. PA levels are either measured by objective or self-reported survey methods. Objective PA measurement is used to increase accuracy. This systematic review investigated the effect of physical activity-based interventions on objectively measured PA levels among community-dwelling adults aged 60 years and older.

RESEARCH DESIGN AND METHODS

Literature searches were conducted in five electronic databases and four clinical trial registries. Randomized controlled trials investigating the effect of physical activity-based interventions on objectively measured PA levels (e.g., accelerometers or pedometers) in community-dwelling adults aged 60 years and older compared with no/minimal intervention were considered eligible. Data were pooled using the most conservative estimates reported from each study using the standardized mean difference (SMD). Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to evaluate the overall quality of the evidence.

RESULTS

Fourteen published trials and 3 ongoing trials were identified. There were significant effects favoring physical activity-based interventions compared with minimal intervention at short-term (less than or equal to 3 months) (SMD: 0.30, 95% CI: 0.17 to 0.43) and intermediate-term (more than 3 months and less than 12 months; SMD: 0.27, 95% CI: 0.06 to 0.49) follow-ups. The quality of evidence was moderate according to GRADE (downgraded for risk of bias).

DISCUSSION AND IMPLICATIONS

Our findings suggest that physical activity-based interventions may increase objectively measured PA levels in community-dwelling older adults. Further studies are still needed to identify the optimal dose, intensity, and mode of delivery of physical activity-based interventions.

Time allocation to active domains, physical activity, and health indicators in older adults: cross-sectional results from the OUTDOOR ACTIVE study

BACKGROUND

Physical activity (PA) is one of the key determinants of healthy ageing. Research showed that time allocation plays an important role in PA. Therefore, an understanding of the time use of older adults is crucial for developing PA programs. The aim of this study was to examine the associations of time allocation and objectively measured PA, and several health indicators in older adults.

METHODS

In this cross-sectional study all 915 participants of the OUTDOOR ACTIVE study were included. The participants were 65 to 75 years old and resided in a subdistrict of Bremen, Germany (50.9% female). The active domains were derived from the SLOTH model (leisure activities, occupation, active transport, home-based activities). PA was objectively measured with accelerometers over seven consecutive days. Binary logistic regressions were used to test the associations of total PA and time spent in the domains with several health indicators (self-rated health, overweight, obesity, activities of daily living (ADL)).

RESULTS

Participants over the age of 70 years were significantly less physically active than those under 70 years and women were significantly more physically active than men. Regardless of age and sex, most time was spent on home-based activities (women: 118.5 ± 87.8 min/day; men: 80.2 ± 69.4 min/day). Both PA and time spent on leisure activities were associated with a lower risk of bad self-rated health (0.36; 95%-CL: 0.20, 0.65 for PA; 0.93; 95%-CL: 0.87, 0.99 for leisure activities) and less limitations in ADL. PA and active transport seemed to lower the risk of overweight (0.39; 95%-CL: 0.25, 0.62 for PA; 0.80; 95%-CL: 0.69, 0.93 for active transport) and obesity (0.36; 95%-CL: 0.21, 0.60 for PA; 0.77; 95%-CL: 0.64, 0.92 for active transport). Having an occupation was associated with a lower risk of bad self-rated health (0.60; 95%-CL: 0.40, 0.92).

CONCLUSIONS

The results of this study provide insights in the time allocation to active domains and total PA of older adults, as well as the associations with health indicators. These findings have important implications for the development of PA programs and guidelines. Future research should examine the associations further in longitudinal studies.

Equity Impact Assessment of Interventions to Promote Physical Activity among Older Adults: A Logic Model Framework

Reducing social inequalities in health and health determinants, including physical activity (PA), is a major challenge for public health. PA-promoting interventions are increasingly implemented. Little is known, however, about the impact of these interventions on social inequalities. For prioritizing interventions most likely to be effective in reducing inequalities, studies of PA interventions need to conduct equity impact assessments. The aim of this article is to describe the development of a logic model framework for equity impact assessments of interventions to promote PA. The framework was developed within the prevention research network AEQUIPA-Physical activity and health equity: primary prevention for healthy ageing, informed by an equity-focused systematic review, expert interviews, exploratory literature searches, and joint discussions within the network. The framework comprises a general equity-focused logic model to be adapted to specific interventions. The intervention-specific equity-focused logic models illustrate the key elements relevant for assessing social inequalities in study participation, compliance with and acceptance of interventions, as well as the efficacy of interventions. Future work within AEQUIPA will reveal which key elements are most critical for the interventions' equity impacts. Equity impact assessments are beneficial for prioritizing interventions most likely to be effective in reducing health inequalities.