Distinct physical activity and sedentary behavior trajectories in older adults during participation in a physical activity intervention: a latent class growth analysis

Background: This study aimed to identify latent moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior (SB) trajectories in older adults participating in a randomized intervention trial and to explore associations with baseline social-cognitive predictors. Methods: Data were assessed at baseline (T0, participants were inactive or had recently become active), after a ten-week physical activity intervention (T1), and a second 24-week intervention phase (T2). Latent class growth analysis was used on accelerometer-assessed weekly MVPA and daily SB, respectively (n = 215 eligible participants). Activity changes within trajectory classes and baseline social-cognitive predictor differences between trajectory classes were analyzed. Results: A "stable insufficient MVPA" (n = 197, p for difference in MVPA level at T0 and T2 (pT0-T2) = .789, effect size (Cohen’s d) = .03) and a "stable high MVPA" trajectory (n = 18, pT0-T2 = .137, d = .39), as well as a "slightly decreasing high SB" (n = 63, p for difference in SB (pT0-T2) = .022, d = .36) and a "slightly increasing moderate SB" trajectory (n = 152, pT0-T2 = .019, d = .27) emerged. Belonging to the "stable high MVPA" trajectory was associated with higher action planning levels compared to the "stable insufficient MVPA" trajectory (M = 5.46 versus 4.40, d = .50). Belonging to the "decreasing high SB" trajectory was associated with higher action self-efficacy levels compared to the "increasing moderate SB" trajectory (M = 5.27 versus 4.72, d = .33). Conclusions: Change occurred heterogeneously in latent (not directly observed) subgroups, with significant positive trajectories only observed in the highly sedentary. Trial registration: German Registry of Clinical Trials, DRKS00016073, Registered 10 January 2019

Changes in Heart Rate, Heart Rate Variability, Breathing Rate, and Skin Temperature throughout Pregnancy and the Impact of Emotions—A Longitudinal Evaluation Using a Sensor Bracelet

(1) Background: Basic vital signs change during normal pregnancy as they reflect the adaptation of maternal physiology. Electronic wearables like fitness bracelets have the potential to provide vital signs continuously in the home environment of pregnant women. (2) Methods: We performed a prospective observational study from November 2019 to November 2020 including healthy pregnant women, who recorded their wrist skin temperature, heart rate, heart rate variability, and breathing rate using an electronic wearable. In addition, eight emotions were assessed weekly using five-point Likert scales. Descriptive statistics and a multivariate model were applied to correlate the physiological parameters with maternal emotions. (3) Results: We analyzed data from 23 women using the electronic wearable during pregnancy. We calculated standard curves for each physiological parameter, which partially differed from the literature. We showed a significant association of several emotions like feeling stressed, tired, or happy with the course of physiological parameters. (4) Conclusions: Our data indicate that electronic wearables are helpful for closely observing vital signs in pregnancy and to establish modern curves for the physiological course of these parameters. In addition to physiological adaptation mechanisms and pregnancy disorders, emotions have the potential to influence the course of physiological parameters in pregnancy

Disease Severity in Never Smokers, Ex-Smokers, and Current Smokers With Axial Spondyloarthritis : Results From the Scotland Registry for Ankylosing Spondylitis

ACKNOWLEDGEMENTS We would like to thank all the clinicians and research nurses who facilitated recruitment and data collection. In particular we would like to thank the SIRAS steering committee, especially Professor Roger Sturrock (chair) and Dr David Marshall (vice-chair). We would also like to thank the SIRAS coordinating centre study team, in particular Elizabeth Jones, Giles O’Donovan, Nabi Moaven-Hashemi and Flora Joyce. GTJ, GJM and FA conceived of the study. The initially analysis was undertaken by TR, under the supervision of GTJ and LED. GTJ produced the first draft of the manuscript and all authors have provided intellectual input into its revision. Funding SIRAS was funded by unrestricted grant from Pfizer and AbbVie.Peer reviewedPostprin

Ecological Predictors of Older Adults’ Participation and Retention in a Physical Activity Intervention

Research is still lacking regarding the question as to how programs to promote healthy ageing should be organized in order to increase acceptance and thus effectiveness. For older adults, ecological factors, such as the physical distance to program sites, might predict participation and retention. Thus, the key aim of this analysis was to examine these factors in a physical activity intervention trial. Adults (N = 8299) aged 65 to 75 years were invited to participate and n = 589 participants were randomly assigned to one of two intervention groups with 10 weeks of physical activity home practice and exercise classes or a wait-list control group. Response, participation, and dropout data were compared regarding ecological, individual, and study-related variables. Kaplan–Meier curves and Cox regression models were used to determine predictors of dropout. In total, 405 participants completed the study. Weekly class attendance rates were examined regarding significant weather conditions and holiday periods. The highest rates of nonresponse were observed in districts with very high neighborhood levels of socioeconomic status. In this study, ecological factors did not appear to be significant predictors of dropout, whereas certain individual and study-related variables were predictive. Future studies should consider these factors during program planning to mobilize and keep subjects in the program

Mitigating Feelings of Loneliness and Depression by Means of Web-Based or Print-Based Physical Activity Interventions: Pooled Analysis of 2 Community-Based Intervention Trials

BACKGROUND: Physical activity (PA) is associated with benefits, such as fewer depressive symptoms and loneliness. Web- and print-based PA interventions can help older individuals accordingly. OBJECTIVE: We aimed to test the following research questions: Do PA interventions delivered in a web- or print-based mode improve self-reported PA stage of change, social-cognitive determinants of PA, loneliness, and symptoms of depression? Is subjective age a mediator and stage of change a moderator of this effect? METHODS: Overall, 831 adults aged ≥60 years were recruited and either allocated to a print-based or web-based intervention group or assigned to a wait-list control group (WLCG) in 2 community-based PA intervention trials over 10 weeks. Missing value imputation using an expectation-maximization algorithm was applied. Frequency analyses, multivariate analyses of variance, and moderated mediation analyses were conducted. RESULTS: The web-based intervention outperformed (47/59, 80% of initially inactive individuals being adopters, and 396/411, 96.4% of initially active individuals being maintainers of the recommended PA behavior) the print-based intervention (20/25, 80% of adopters, and 63/69, 91% of maintainers) and the WLCG (5/7, 71% of adopters; 141/150, 94% of maintainers). The pattern regarding adopters was statistically significant (web vs print Z=–1.94; P=.02; WLCG vs web Z=3.8367; P=.01). The pattern was replicated with stages (χ24=79.1; P<.001; contingency coefficient 0.314; P<.001); in the WLCG, 40.1% (63/157) of the study participants moved to or remained in action stage. This number was higher in the groups receiving web-based (357/470, 76%) or print-based interventions (64/94, 68.1%). A significant difference was observed favoring the 2 intervention groups over and above the WLCG (F19, 701=4.778; P<.001; η2=0.098) and a significant interaction of time and group (F19, 701=2.778; P<.001; η2=0.070) for predictors of behavior. The effects of the interventions on subjective age, loneliness, and depression revealed that both between-group effects (F3, 717=8.668; P<.001; η2=0.018) and the interaction between group and time were significant (F3, 717=6.101; P<.001; η2=0.025). In a moderated mediation model, both interventions had a significant direct effect on depression in comparison with the WLCG (web-based: c′ path −0.86, 95% CI −1.58 to −0.13, SE 0.38; print-based: c′ path −1.96, 95% CI −2.99 to −0.92, SE 0.53). Furthermore, subjective age was positively related to depression (b path 0.14, 95% CI 0.05-0.23; SE 0.05). An indirect effect of the intervention on depression via subjective age was only present for participants who were in actor stage and received the web-based intervention (ab path −0.14, 95% CI −0.34 to −0.01; SE 0.09). CONCLUSIONS: Web-based interventions appear to be as effective as print-based interventions. Both modes might help older individuals remain or become active and experience fewer depression symptoms, especially if they feel younger

Web-Based Versus Print-Based Physical Activity Intervention for Community-Dwelling Older Adults: Crossover Randomized Trial

BACKGROUND: Fewer than half of older German adults engage in the recommended levels of endurance training. OBJECTIVE: The study aim is to compare the acceptance and effectiveness of two interventions for physical activity (PA) promotion among initially inactive community-dwelling older adults ≥60 years in a 9-month, crossover randomized trial. METHODS: Participants were recruited in person and randomized to one of the following interventions for self-monitoring PA: a print-based intervention (PRINT: 113/242, 46.7%) or a web-based intervention (WEB: 129/242, 53.3%). Furthermore, 29.5% (38/129) of those in the web-based intervention group received a PA tracker in addition to WEB (WEB+). After randomization, the participants and researchers were not blinded. The participants’ baseline intervention preferences were retrospectively assessed. All the intervention groups were offered 10 weekly face-to-face group sessions. Afterward, participants could choose to stay in their group or cross over to one of the other groups, and group sessions were continued monthly for another 6 months. 3D accelerometers to assess PA and sedentary behavior (SB) at baseline (T0), 3-month follow-up (T1), and 9-month follow-up (T2) were used. Adherence to PA recommendations, attendance of group sessions, and intervention acceptance were assessed using self-administered paper-based questionnaires. Linear mixed models were used to calculate differences in moderate to vigorous PA (MVPA) and SB between time points and intervention groups. RESULTS: Of the 242 initially recruited participants, 91 (37.6%) were randomized to the WEB group; 38 (15.7%) to the WEB+ group; and 113 (46.7%) to the PRINT group. Overall, 80.6% (195/242) of the participants completed T1. Only 0.4% (1/242) of the participants changed from the WEB group to the PRINT group and 6.2% (15/242) moved from the PRINT group to the WEB group (WEB-WEB: 103/249, (41.4%); PRINT-PRINT: 76/249, 30.5%) when offered to cross over at T1. Furthermore, 66.1% (160/242) of participants completed T2. MVPA in minutes per day increased between baseline and T1, but these within-group changes disappeared after adjusting for covariates. MVPA decreased by 9 minutes per day between baseline and T2 (βtime=−9.37, 95% CI −18.58 to −0.16), regardless of the intervention group (WEB vs PRINT: βgroup*time=−3.76, 95% CI −13.33 to 5.82, WEB+ vs PRINT: βgroup*time=1.40, 95% CI −11.04 to 13.83). Of the participants, 18.6% (38/204) met the PA recommendations at T0, 16.4% (26/159) at T1, and 20.3% (28/138) at T2. For SB, there were no significant group differences or group-by-time interactions at T1 or T2. Intervention acceptance was generally high. The use of intervention material was high to moderate at T1 and decreased by T2. CONCLUSIONS: There was little movement between intervention groups at T1 when given the choice, and participation was not associated with increases in PA or decreases in SB over time

Implementation and Effects of Information Technology-Based and Print-Based Interventions to Promote Physical Activity Among Community-Dwelling Older Adults: Protocol for a Randomized Crossover Trial

BACKGROUND: Despite the known health benefits of physical activity (PA), less than half and less than one-third of older adults in Germany reach the PA recommendations for endurance training and strength training, respectively, of the World Health Organization. The aim of this study is to investigate the implementation and effectiveness over the course of 9 months of two interventions (information technology [IT]-based vs print-based) for PA promotion among initially inactive older adults in a randomized, crossover trial. This study is part of a large research consortium (2015-2021) investigating different aspects of PA promotion. The IT-based intervention was previously developed and refined, while the print-based intervention was newly developed during this funding phase. OBJECTIVE: We aim to compare the effectiveness and examine the preferences of study participants regarding both delivery modes. METHODS: Our target sample size was 390 initially inactive community-dwelling older adults aged ≥60 years at baseline (3-month follow-up [T1]: expected n=300; 9-month follow-up [T2]: expected n=240) who were randomized to one of two interventions for self-monitoring PA: IT-based (50%) or print-based (50%) intervention. In addition, 30% of the IT-based intervention group received a PA tracker. At T1, participants in both groups could choose whether they prefered to keep their assigned intervention or cross over to the other group for the following 6 months (T2). Participants’ intervention preferences at baseline were collected retrospectively to run a post hoc matched-mismatched analysis. During the initial 3-month intervention period, both intervention groups were offered weekly group sessions that were continued monthly between T1 and T2. A self-administered questionnaire and 3D accelerometers were employed to assess changes in PA between baseline, T1, and T2. Adherence to PA recommendations, attendance at group sessions, and acceptance of the interventions were also tracked. RESULTS: The funding period started in February 2018 and ends in January 2021. We obtained institutional review board approval for the study from the Medical Association in Bremen on July 3, 2018. Data collection was completed on January 31, 2020, and data cleaning and analysis started in February 2020. We expect to publish the first results by the end of the funding period. CONCLUSIONS: Strategies to promote active aging are of particular relevance in Germany, as 29% of the population is projected to be ≥65 years old by 2030. Regular PA is a key contributor to healthy aging. This study will provide insights into the acceptance and effectiveness of IT-based vs print-based interventions to promote PA in initially inactive individuals aged ≥60 years. Results obtained in this study will improve the existing evidence base on the effectiveness of community-based PA interventions in Germany and will inform efforts to anchor evidence-based PA interventions in community structures and organizations via an allocation of permanent health insurance funds

Die "Fit im Nordwesten"-Toolbox: Entwicklung und Bereitstellung von Materialien und Empfehlungen zur Förderung körperlicher Aktivität älterer Menschen im kommunalen Setting

HINTERGRUND: Regelmäßige körperliche Aktivität ist von zentraler Bedeutung für gesundes Altern. Allerdings halten in Deutschland weniger als ein Viertel der ab 65-Jährigen die Aktivitätsempfehlungen der Weltgesundheitsorganisation ein. ZIEL DER ARBEIT: In zwei Studienphasen (PROMOTE I und II) wurden web- und print-basierte Programme zur Förderung körperlicher Aktivität älterer Erwachsener ab 60 Jahren entwickelt und mittels randomisierter Interventionsstudien analysiert und evaluiert. Ziel dieses Beitrags ist es, die daraus resultierenden Empfehlungen und Materialien, die im Rahmen einer Toolbox für Anbieter:innen von Bewegungsprogrammen im kommunalen Setting angeboten werden, vorzustellen. MATERIAL UND METHODEN: Insgesamt erhielten 651 Personen über 10 Wochen Zugang zu der web- oder print-basierten „Fit im Nordwesten“-Bewegungsintervention. In der zweiten Studienphase (PROMOTE II) wurde das Programm mithilfe eines partizipativen Ansatzes an bisher inaktive Ältere angepasst. Die Zufriedenheit mit der Intervention und die Effektivität hinsichtlich des Bewegungsverhaltens wurden wissenschaftlich evaluiert. ERGEBNISSE: Die „Fit im Nordwesten“-Toolbox umfasst theoriebasierte, praxisrelevante und wissenschaftlich evaluierte Handlungsempfehlungen für die Förderung der körperlichen Aktivität älterer Erwachsener ab 60 Jahren. Die bereitgestellten Dokumentensets enthalten Materialien für 1) die Vor- und Nachbereitung, 2) die Durchführung eines zehnwöchigen Bewegungsprogramms, 3) die langfristige Aufrechterhaltung des Bewegungsverhaltens und 4) die Begleitung für Theorie und Praxis. SCHLUSSFOLGERUNG: Bisher existierten kaum wissenschaftlich evaluierte Materialien für die praktische Nutzung in der Bewegungsförderung. Die „Fit im Nordwesten“-Toolbox kann die zukünftige Anwendung in Bewegungsprogrammen für ältere Erwachsene unterstützen.BACKGROUND: Regular physical activity is central to healthy ageing. However, less than 25% of German older adults aged 65 years or older currently reach the World Health Organization’s recommendations. OBJECTIVES: In two study phases (PROMOTE I and II), web- and print-based programs to promote physical activity in older adults aged 60 years and older were developed. Intervention effectiveness was evaluated in randomized intervention trials. The goal is to present the recommendations and materials that emerged and were summarized in a toolbox for use in intervention planning and implementation in the community setting. MATERIALS AND METHODS: A total of 651 individuals received access to the web- or print-based “Fit im Nordwesten” physical activity intervention for 10 weeks. As part of the PROMOTE II study, the program was adapted to initially inactive older adults using a participatory approach. Acceptance and intervention effectiveness regarding physical activity behavior were scientifically evaluated. RESULTS: The “Fit im Nordwesten” toolbox includes theory-based, practice-relevant, and scientifically evaluated recommendations for the promotion of physical activity among older adults aged 60 years and older. The provided document sets include materials for (1) the preparation and postprocessing, (2) the implementation of the 10-week physical activity program, (3) supporting long-term maintenance of physical activity behavior, and (4) supporting materials for theory and practice. CONCLUSIONS: Thus far, the provision of scientifically evaluated materials for practical use in the promotion of physical activity was limited. The findings and recommendations presented here as part of the “Fit im Nordwesten” toolbox can support future application in physical activity programs targeting older adults

Impact of Activity Tracker Usage in Combination with a Physical Activity Intervention on Physical and Cognitive Parameters in Healthy Adults Aged 60+: A Randomized Controlled Trial

Regular physical activity (PA) is of central importance for healthy aging and has a well-known impact on helping older adults maintain their cognitive and physical health. Thus, we aimed to compare the effectiveness of two physical activity interventions primarily conducted at home (print-based or web-based vs. web-based plus the use of an activity tracker) on cognitive and physical health parameters in older adults. Data of participants (n = 551, 60–80 years) were analyzed after being randomly allocated to a waitlist control group (CG), a web-based or print-based intervention group (IG) or a web-based intervention group that also included the use of an activity tracker (AG). Measured parameters were grip strength, endurance (two-minute step test), gait speed (four-meter walk test), cognition (Simon task; balanced integration score (BIS), reaction time and accuracy) and physical self-concept (Physical Self-Description Questionnaire (PSDQ)). We found the highest effect sizes in all measured dimensions for AG (grip strength, endurance, gait speed, reaction time, physical self-concept), followed by IG (endurance, gait speed, reaction time, physical self-concept) and CG (endurance, gait speed, BIS). Findings suggest that a combined web-based and activity tracker intervention may improve physical functions, physical self-concept, and cognition in community-dwelling older adults