What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework.

Digital public health is an emerging field in population-based research and practice. The fast development of digital technologies provides a fundamentally new understanding of improving public health by using digitalization, especially in prevention and health promotion. The first step toward a better understanding of digital public health is to conceptualize the subject of the assessment by defining what digital public health interventions are. This is important, as one cannot evaluate tools if one does not know what precisely an intervention in this field can be. Therefore, this study aims to provide the first definition of digital public health interventions. We will merge leading models for public health functions by the World Health Organization, a framework for digital health technologies by the National Institute for Health and Care Excellence, and a user-centered approach to intervention development. Together, they provide an overview of the functions and areas of use for digital public health interventions. Nevertheless, one must keep in mind that public health functions can differ among different health care systems, limiting our new framework's universal validity. We conclude that a digital public health intervention should address essential public health functions through digital means. Furthermore, it should include members of the target group in the development process to improve social acceptance and achieve a population health impact.

[Contact-Tracing Apps in Contact Tracing of COVID-19]. / Contact-Tracing-Apps als unterstützende Maßnahme bei der Kontaktpersonennachverfolgung von COVID-19.

Contact tracing is currently one of the most effective measures to contain the COVID-19 pandemic. In order to identify persons that would otherwise not be known or remembered and to keep the time delay when reporting an infection and when contacting people as short as possible, digital contact tracing using smartphones seems to be a reasonable measure additional to manual contact tracing. Although first modelling studies predicted a positive effect in terms of prompt contact tracing, no empirically reliable data are as yet available, neither on the population-wide benefit nor on the potential risks of contact tracing apps. Risk-benefit assessment of such an app includes investigating whether such an app fulfils its purpose, as also research on the effectiveness, risks and side effects, and implementation processes (e. g. planning and inclusion of different participants). The aim of this article was to give an overview of possible public health benefits as well as technical, social, legal and ethical aspects of a contact-tracing app in the context of the COVID-19 pandemic. Furthermore, conditions for the widest possible use of the app are presented.

[Psychological Measures and BMI-SDS among Adolescents with Obesity and Different Motivational Stages in Inpatient Rehabilitation]. / Psychologische Kennwerte und BMI-SDS bei Jugendlichen mit Adipositas und unterschiedlichen Motivationsstadien in der stationären Rehabilitation.

PURPOSE: Obesity is strongly represented in adolescents, showing a high persistency until adulthood. Previous studies displayed short term effects of inpatient rehabilitation, but failed to demonstrate sustainability. Long-term effects might be expected when taking the motivational stage of adolescents into account. However, there is no evidence regarding motivational stages in obese adolescents in German inpatient rehabilitation. The current study investigated psychological measures and the Body-Mass-Index-standard deviation score (BMI-SDS) in obese adolescents related to motivational stages and age. METHODS: A total sample of n=127 adolescents were included in this cross-sectional study during their inpatient rehabilitation intake. Differences in BMI-SDS and self-reported psychological health were analyzed using 2-way analysis of covariance with the factors motivational stage (intender vs. actor) and age (12-14 vs. 15-17 years), and the covariate gender. Motivational stages were assessed using the newly developed questionnaire to classify motivational stages (Fragebogen zur Einteilung in Motivationsstadien; MoS). RESULTS: Intenders reported unfavorable disease management and volitional parameters. Younger participants reported a lower BMI-SDS as well as lower motivational and volitional parameters. A risk profile emerged for younger intenders which was characterized by psychological problems. CONCLUSION: The results provide important insights for the design of motivational stage-based training programs and underpin the need for age-specific therapies during adolescence.

Work-related medical rehabilitation in patients with cancer-Postrehabilitation results from a cluster-randomized multicenter trial.

BACKGROUND: Effective multidisciplinary rehabilitation programs supporting the return to work have become increasingly relevant for cancer survivors. In Germany, inpatient work-related medical rehabilitation programs consider treatment modules of work-related diagnostics, work-related functional capacity training, psychosocial groups, and intensified social counseling. The authors tested the effectiveness of a work-related medical rehabilitation program compared with conventional medical rehabilitation using a cluster-randomized multicenter trial (German Clinical Trial Register: DRKS00007770). METHODS: In total, 484 patients with cancer were recruited at 4 rehabilitation centers. Patients at a center who started their rehabilitation in the same week represented a cluster. These clusters were randomly assigned using computer-generated randomization schedules either to an intervention group (IG) or to a control group (CG). The primary outcome was role functioning. Secondary outcomes were other quality-of-life domains and the return to work. RESULTS: In total, 425 patients (210 in the IG) were included in the analysis at the 3-month follow-up. There was no significant difference between the IG and CG in role functioning (b = 3.55; 95% CI, -1.18 to 8.29; P = .142). Participants in the IG reported better physical functioning (b = 5.99; 95% CI, 3.33-8.65; P < .001), less physical fatigue (b = -5.09; 95% CI, -9.62 to -0.56; P = .028), and less pain (b = -6.24; 95% CI, -11.24 to -1.23; P = .015). CONCLUSIONS: Work-related medical rehabilitation had no effect on the primary outcome compared with conventional medical rehabilitation but may enhance physical functioning and reduce physical fatigue and pain.

Communication and patient safety in gynecology and obstetrics - study protocol of an intervention study.

BACKGROUND: Patient safety is a key target in public health, health services and medicine. Communication between all parties involved in gynecology and obstetrics (clinical staff/professionals, expectant mothers/patients and their partners, close relatives or friends providing social support) should be improved to ensure patient safety, including the avoidance of preventable adverse events (pAEs). Therefore, interventions including an app will be developed in this project through a participatory approach integrating two theoretical models. The interventions will be designed to support participants in their communication with each other and to overcome difficulties in everyday hospital life. The aim is to foster effective communication in order to reduce the frequency of pAEs. If communication is improved, clinical staff should show an increase in work satisfaction and patients should show an increase in patient satisfaction. METHODS: The study will take place in two maternity clinics in Germany. In line with previous studies of complex interventions, it is divided into three interdependent phases. Each phase provides its own methods and data. Phase 1: Needs assessment and a training for staff (n = 140) tested in a pre-experimental study with a pre/post-design. Phase 2: Assessment of communication training for patients and their social support providers (n = 423) in a randomized controlled study. Phase 3: Assessment of an app supporting the communication between staff, patients, and their social support providers (n = 423) in a case-control study. The primary outcome is improvement of communication competencies. A range of other implementation outcomes will also be assessed (i.e. pAEs, patient/treatment satisfaction, work satisfaction, safety culture, training-related outcomes). DISCUSSION: This is the first large intervention study on communication and patient safety in gynecology and obstetrics integrating two theoretical models that have not been applied to this setting. It is expected that the interventions, including the app, will improve communication practice which is linked to a lower probability of pAEs. The app will offer an effective and inexpensive way to promote effective communication independent of users' motivation. Insights gained from this study can inform other patient safety interventions and health policy developments. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03855735; date of registration: February 27, 2019.

[Work-Related Medical Rehabilitation in Cancer Rehabilitation - Short-Term Results from a Cluster-Randomized Multicenter-Trial]. / Medizinisch-beruflich orientierte Rehabilitation für onkologische Rehabilitanden ­ kurzfristige Ergebnisse einer clusterrandomisierten Multicenterstudie.

BACKGROUND: Rehabilitation programs that support return to work become increasingly relevant for cancer survivors. In Germany, such programs were established as work-related medical rehabilitation (WMR). The study investigated whether WMR leads to better results compared to medical rehabilitation (MR). We report effects on secondary outcomes when the rehabilitation program was completed. METHODS: Clusters of participants were randomly assigned to WMR or MR. Patients of working age and an elevated risk of not returning to work were included. The grade of implementation was assessed by dose delivered and dose received. Study outcomes were assessed using scales measuring functioning and symptoms, coping with illness as well as self-reported work ability. Treatment effects were estimated using mixed linear models. RESULTS: From 232 planned randomized intervention groups, 165 (71%) were realized. In total, 476 patients were included. Mean age of participants was 50.7 years (SD=7.3). Most frequent primary diagnoses were malignant neoplasms of the breast. Participants in the WMR program reported significantly better outcomes regarding quality of life (SMD=0.17-0.25), fatigue (SMD=0.18-0.27), coping with illness (SMD=0.17-0.22), and self-reported work-ability (SMD=0.16) compared to participants in MR program (all p<0.05). CONCLUSION: The results indicate a positive effect in favor of WMR for cancer patients with an elevated risk of not returning to work at the end of their treatment.

Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk.

EHealth behaviour change interventions that help participants to adhere to professional physical activity recommendations can help to prevent future events of cardiovascular diseases (CVD). Therefore, identifying user groups of such interventions based on stages of health behaviour change is of great importance to provide tailored content to users instead of one-size-fits-all approaches. Our study used Latent Class Analysis (LCA) to identify underlying classes of users of an eHealth behaviour change intervention based on stages of change and associated variables. We compared participants' self-allocated stage with their latent class stage membership to display the correlation and mean differences between the two approaches. This was done by analysing baseline data of N = 310 people interested in reducing their CVD risk. LCA identified a three-class solution: (non-)intenders (19.4%), non-habituated actors (43.2%) and habituated actors (37.4%). The interrelation between self-allocated and latent class stage membership was moderate (ρ(308) = .49, p < .001). Significant mean differences for (non-)intenders and non-habituated actors were found in social-cognitive variables. Results showed that self-allocated stage outcomes represent a pseudo stage model - linear trends can be reported for stage-associated social-cognitive variables. The study provides information on the validity of stage measures, which can inform future interventions.

Evaluation of a Web-Based Intervention for Multiple Health Behavior Changes in Patients With Coronary Heart Disease in Home-Based Rehabilitation: Pilot Randomized Controlled Trial.

BACKGROUND: Web-based and theory-based interventions for multiple health behaviors appears to be a promising approach with respect to the adoption and maintenance of a healthy lifestyle in cardiac patients who have been discharged from the hospital. Until now, no randomized controlled trials have tested this assumption among Chinese rehabilitation patients with coronary heart disease using a Web-based intervention. OBJECTIVE: The study aim was to evaluate the effect of an 8-week Web-based intervention in terms of physical activity (PA), fruit and vegetable consumption (FVC), lifestyle changes, social-cognitive outcomes, and health outcomes compared with a waiting control group in Chinese cardiac patients. The intervention content was theory-based on the health action process approach. Self-reported data were evaluated, including PA, FVC, healthy lifestyle (the synthesis of PA and FVC), internal resources (combination of intention, self-efficacy, and planning), and an external resource (social support) of PA and FVC behaviors, as well as perceived health outcomes (body mass index, quality of life, and depression). METHODS: In a randomized controlled trial, 136 outpatients with coronary heart disease from the cardiac rehabilitation center of a hospital in China were recruited. After randomization and exclusion of unsuitable participants, 114 patients were assigned to 1 of the 2 groups: (1) the intervention group: first 4 weeks on PA and subsequent 4 weeks on FVC and (2) the waiting control group. A total of 2 Web-based assessments were conducted, including 1 at the beginning of the intervention (T1, N=114), and 1 at the end of the 8-week intervention (T2, N=83). The enrollment and follow-up took place from December 2015 to May 2016. RESULTS: The Web-based intervention outperformed the control condition for PA, FVC, internal resources of PA and FVC, and an external resource of FVC, with an eta-squared effect size ranging from 0.06 to 0.43. Furthermore, the intervention effect was seen in the improvement of quality of life (F1,79=16.36, P<.001, η2=.17). When predicting a healthy lifestyle at follow-up, baseline lifestyle (odds ratio, OR 145.60, 95% CI 11.24-1886; P<.001) and the intervention (OR 21.32, 95% CI 2.40-189.20; P=.006) were found to be significant predictors. Internal resources for FVC mediated the effect of the intervention on the adoption of a healthy lifestyle (R2adj=.29; P=.001), indicating that if the intervention increased the internal resource of behavior, the adoption of a healthy lifestyle was more likely. CONCLUSIONS: Patients' psychological resources such as motivation, self-efficacy, planning, and social support as well as lifestyle can be improved by a Web-based intervention that focuses on both PA and FVC. Such an intervention enriches extended rehabilitation approaches for cardiac patients to be active and remain healthy in daily life after hospital discharge. TRIAL REGISTRATION: ClinicalTrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6pHV1A0G1).

Motivational and Volitional Correlates of Physical Activity in Participants Reporting No, Past, and Current Hypertension: Findings from a Cross-Sectional Observation Study.

PURPOSE: The study investigated differences in motivational and volitional correlates of physical activity in persons who reported currently having hypertension, had hypertension in the past, or had no hypertension by using the health action process approach as a theoretical background. METHOD: Self-reported data from 512 participants (71.9% women; M age = 46.83 years; SD age = 13.77; M BMI = 24.89; SD BMI = 4.71) were analyzed using multivariate analysis of variance (MANOVA), analysis of variance (ANOVA), and post hoc comparisons of groups to determine differences in motivational and volitional correlates for physical activity between groups followed by analysis of covariance (ANCOVA). Additionally, χ 2 statistic was used to analyze differences in the distribution of behavioral stages between groups. RESULTS: Participants with hypertension reported a higher perceived vulnerability (d = 0.99) and lower action planning (d = 0.32) and self-efficacy (d = 0.30) compared to those who indicated no hypertension. Their perceived vulnerability was also higher compared to those who indicated past hypertension on the mean level (d = 0.60). Significant main effects for all independent variables were found when controlling for gender and HAPA stages with main effects for perceived vulnerability, action planning, and self-efficacy. Participants with current hypertension were more prominent in the intender stage, whereas participants with past hypertension were more likely to be in the actor stage. Participants with no hypertension at all were equally distributed across the intender and actor stages. CONCLUSION: The study contributes to the understanding of differences in motivational and volitional correlates of physical activity in persons who reported different hypertension statuses.

Web-Based Intervention for Physical Activity and Fruit and Vegetable Intake Among Chinese University Students: A Randomized Controlled Trial.

BACKGROUND: Ample evidence demonstrates that university students are at high risk for sedentary behaviors and inadequate fruit and vegetable intake (FVI). Internet-based interventions for multiple health behavior appear to be promising in changing such unhealthy habits. Limited randomized controlled trials have tested this assumption among Chinese university students. OBJECTIVE: Our objective was to test the efficacy of an 8-week Web-based intervention compared with a control group condition to improve physical activity (PA) and FVI in Chinese university students. The intervention content was based on the health action process approach, and developed on the basis of previous evidence from the Western hemisphere. We evaluated self-reported data including PA and FVI, stages of change for PA and FVI, and motivational (risk perception, outcome expectancies, self-efficacy), volitional (action planning, coping planning, social support), and distal (intention, habit) indicators for PA and FVI, as well as perceived mental health outcomes (quality of life, depression). METHODS: In a randomized controlled trial, we recruited 566 university students from one university in the central region of China during their general physical education class. After random allocation and exclusion of unsuitable participants, we assigned 493 students to 1 of 2 groups: (1) intervention group: first 4 weeks on PA and subsequent 4 weeks on FVI, (2) control group. We conducted 3 Web-based assessments: at the beginning of the intervention (T1, n=493), at the end of the 8-week intervention (T2, n=337), and at a 1-month follow-up after the intervention (T3, n=142). The entire study was conducted throughout the fall semester of 2015. RESULTS: Significant time ⨯ group interactions revealed superior intervention effects on FVI; motivational, volitional, and distal indicators of FVI; and PA behavior changes, with an effect size (η2) ranging from .08 to .20. In addition, the overall intervention effects were significant for stage progression to the action group from T1 to T2 in PA (χ21=11.75, P=.001) and FVI (χ21=15.64, P=.03). Furthermore, the intervention effect was seen in the improvement of quality of life (F3,492=1.23, η2=.03, P=.02). CONCLUSIONS: This study provides evidence for the efficacy of a Web-based multiple health behavior intervention among Chinese university students tested with different outcome variables. Future research should address the high dropout rate and optimize the most effective components of this intervention. TRIAL REGISTRATION: Clinicaltrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6pHV1A0G1).

Effectiveness of work-related medical rehabilitation in cancer patients: study protocol of a cluster-randomized multicenter trial.

BACKGROUND: Work is a central resource for cancer survivors as it not only provides income but also impacts health and quality of life. Additionally, work helps survivors to cope with the perceived critical life event. The German Pension Insurance provides medical rehabilitation for working-age patients with chronic diseases to improve and restore their work ability, and support returning to or staying at work, and thus tries to sustainably avoid health-related early retirement. Past research showed that conventional medical rehabilitation programs do not support returning to work sufficiently and that work-related medical rehabilitation programs report higher return-to-work rates across several health conditions, when compared to medical rehabilitation. Therefore, the current study protocol outlines an effectiveness study of such a program for cancer survivors. METHODS: To evaluate the effectiveness of work-related medical rehabilitation in cancer patients we conduct a cluster-randomized multicenter trial. In total, 504 rehabilitation patients between 18 and 60 years with a Karnofsky Performance Status of ≥70 %, a preliminary positive social-medical prognosis of employability for at least 3 h/day within the next 6 months and an elevated risk of not returning to work will be recruited in four inpatient rehabilitation centers. Patients are randomized to the work-related medical rehabilitation program or the conventional medical rehabilitation program based on their week of arrival at each rehabilitation center. The work-related medical rehabilitation program comprises additional work-related diagnostics, multi-professional team meetings, an introductory session as well as work-related functional capacity training, work-related psychological groups, and social counseling. All additional components are aimed at the adjustment of the patients' capacity in relation to their individual job demands. Role functioning defines the main study outcome and will be assessed with the EORTC-QLQ30. Secondary outcome measures are the remaining scales of the EORTC-QLQ30, fatigue, self-rated work ability, disease coping, participation in working life, realization of work-related goals and therapies during rehabilitation, and treatment satisfaction. DISCUSSION: A positive evaluation of work-related medical rehabilitation in cancer patients is expected due to the promising findings on the effectiveness of such programs for patients with other health conditions. Results may support the dissemination of work-related medical rehabilitation programs in German cancer rehabilitation. TRIAL REGISTRATION: German Clinical Trials Register DRKS00007770 . Registered 13 May 2015.

Generating and predicting high quality action plans to facilitate physical activity and fruit and vegetable consumption: results from an experimental arm of a randomised controlled trial.

BACKGROUND: In order to improve the transition from an intention to a change in health behaviour, action planning is a frequently used behavioural change method. The quality of action plans in terms of instrumentality and specificity is important in terms of supporting a successful change in health behaviour. Until now, little has been known about the predictors of action plan generation and the predictors of high quality action plans and, therefore, the current study investigates these predictors. METHOD: A randomised controlled trial was conducted to improve physical activity (PA) and fruit and vegetable (FV) consumption using a web-based computer tailored intervention. During the 8-week intervention period, participants in the intervention arm (n = 346) were guided (step-by-step) to generate their own action plans to improve their health behaviours. Demographic characteristics, social cognitions, and health behaviour were assessed at baseline by means of self-reporting. Whether participants generated action plans was tracked by means of server registrations within two modules of the intervention. RESULTS: The action planning component of the intervention regarding physical activity and fruit and vegetable consumption was used by 40.9 and 20.7 % of the participants, respectively. We found that participants who were physically active at baseline were less likely to generate action plans concerning physical activity. With regards to generating fruit and vegetable action plans, participants with a high risk perception and a strong intention to eat fruit and vegetables on a daily basis made more use of the action planning component for this behaviour. Finally, the large majority of the action plans for physical activity (96.6 %) and fruit and vegetable consumption (100 %) were instrumental and about half of the action plans were found to be highly specific (PA = 69.6 %/FV = 59.7 %). The specificity of the action plans is associated with having a relationship and low levels of negative outcome expectancies. CONCLUSION: Risk perception and intention are predictors of using the application of action planning. Increasing the motivation to change behaviour should be prioritised in interventions concerning changes in health behaviour before participants are asked to generate action plans. This would also make the intervention suitable for unmotivated people. For those participants who already perform the desired health behaviour prior to the intervention, action plans might be less relevant. Nevertheless, using a guided step-by-step approach to generate action plans resulted in highly instrumental and specific action plans and might be integrated into other interventions concerning changes in health behaviour. TRIAL REGISTRATION: Netherlands Trial Register: NTR 3706, ClinicalTrials.gov: NCT01909349 .

Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention.

BACKGROUND: Visual analogue scales (VASs) have been shown to be valid measurement instruments and a better alternative to Likert-type scales in Internet-based research, both empirically and theoretically [1,2]. Upsides include more differentiated responses, better measurement level, and less error. Their feasibility and properties in the context of eHealth, however, have not been examined so far. OBJECTIVE: The present study examined VASs in the context of a lifestyle study conducted online, measuring the impact of VASs on distributional properties and non-response. METHOD: A sample of 446 participants with a mean age of 52.4 years (standard deviation (SD) = 12.1) took part in the study. The study was carried out as a randomized controlled trial, aimed at supporting participants over 8 weeks with an additional follow-up measurement. In addition to the randomized questionnaire, participants were further randomly assigned to either a Likert-type or VAS response scale version of the measures. RESULTS: Results showed that SDs were lower for items answered via VASs, 2P (Y ≥ 47 | n=55, P=.5) < .001. Means did not differ across versions. Participants in the VAS version showed lower dropout rates than participants in the Likert version, odds ratio = 0.75, 90% CI (0.58-0.98), P=.04. Number of missing values did not differ between questionnaire versions. CONCLUSIONS: The VAS is shown to be a valid instrument in the eHealth context, offering advantages over Likert-type scales. The results of the study provide further support for the use of VASs in Internet-based research, extending the scope to senior samples in the health context. TRIAL REGISTRATION: Clinicaltrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6h88sLw2Y).

Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial.

BACKGROUND: Web-based computer-tailored interventions for multiple health behaviors can improve the strength of behavior habits in people who want to reduce their cardiovascular risk. Nonetheless, few randomized controlled trials have tested this assumption to date. OBJECTIVE: The study aim was to test an 8-week Web-based computer-tailored intervention designed to improve habit strength for physical activity and fruit and vegetable consumption among people who want to reduce their cardiovascular risk. In a randomized controlled design, self-reported changes in perceived habit strength, self-efficacy, and planning across different domains of physical activity as well as fruit and vegetable consumption were evaluated. METHODS: This study was a randomized controlled trial involving an intervention group (n=403) and a waiting control group (n=387). Web-based data collection was performed in Germany and the Netherlands during 2013-2015. The intervention content was based on the Health Action Process Approach and involved personalized feedback on lifestyle behaviors, which indicated whether participants complied with behavioral guidelines for physical activity and fruit and vegetable consumption. There were three Web-based assessments: baseline (T0, N=790), a posttest 8 weeks after the baseline (T1, n=206), and a follow-up 3 months after the baseline (T2, n=121). Data analysis was conducted by analyzing variances and structural equation analysis. RESULTS: Significant group by time interactions revealed superior treatment effects for the intervention group, with substantially higher increases in self-reported habit strength for physical activity (F1,199=7.71, P=.006, Cohen's d=0.37) and fruit and vegetable consumption (F1,199=7.71, P=.006, Cohen's d=0.30) at posttest T1 for the intervention group. Mediation analyses yielded behavior-specific sequential mediator effects for T1 planning and T1 self-efficacy between the intervention and habit strength at follow-up T2 (fruit and vegetable consumption: beta=0.12, 95% CI 0.09-0.16, P<.001; physical activity: beta=0.04, 95% CI 0.02-0.06, P<.001). CONCLUSIONS: Our findings indicate the general effectiveness and practicality of Web-based computer-tailored interventions in terms of increasing self-reported habit strength for physical activity and fruit and vegetable consumption. Self-efficacy and planning may play major roles in the mechanisms that facilitate the habit strength of these behaviors; therefore, they should be actively promoted in Web-based interventions. Although the results need to take into account the high dropout rates and medium effect sizes, a large number of people were reached and changes in habit strength were achieved after 3 months. TRIAL REGISTRATION: Clinicaltrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6g5F0qoft) and Nederlands Trial Register NTR3706 http://www.trialregister.nl/ trialreg/admin/rctview.asp?TC=3706 (Archived by WebCite at http://www.webcitation.org/6g5F5HMLX).

Testing principle working mechanisms of the health action process approach for subjective physical age groups.

This study investigated differences in social-cognitive predictors and self-regulatory planning, as proposed by the health action process approach (HAPA), across three different subjective physical age groups for physical activity. With a cross-sectional design, 521 participants across the chronological age span from 25 to 86 years (M = 48.79; SD = 12.66) were separated into three groups: those who feel physically younger than they are in terms of chronological age, the same perceived and chronological age, and feeling physically older compared to their chronological age. Participants were assessed regarding their perceived vulnerability, outcome expectancies, general intentions, planning, self-efficacy, and stages of physical activity (non-intenders, intenders, and actors). Data were analysed via mean comparison and multigroup structural equation modelling. Mean differences for all but one construct were eminent in all groups, generally showing that those feeling physically younger also report better social-cognitive predictors of physical activity (e.g. lower perceived vulnerability) in comparison to those who feel the same age or older. The model showed that basic working mechanisms of the HAPA can be applied to all groups. With that, the results provide for the first time evidence that principle working mechanism of the HAPA can be applied to all subjective physical age groups. These may be used to tailor health promoting interventions according to participants' needs as a more suitable proxy than chronological age.

Designing a theory- and evidence-based tailored eHealth rehabilitation aftercare program in Germany and the Netherlands: study protocol.

BACKGROUND: Cardiac rehabilitation programs aim to improve health status and to decrease the risk of further cardiac events. Persons undergoing rehabilitation often have difficulties transferring the learned health behaviors into their daily routine after returning home and maybe to work. This includes physical activity as well as fruit and vegetable consumption. Computer-based tailored interventions have been shown to be effective in increasing physical activity as well as fruit and vegetable consumption. The aim of this study is, to support people in transferring these two learned behavior changes and their antecedents into their daily life after cardiac rehabilitation. METHODS: The study will have a randomized controlled design and will be conducted among German and Dutch people who participated in cardiac rehabilitation. The study will consist of one intervention group which will be compared to a waiting list control group. During the eight week duration of the intervention, participants will be invited to participate in the online after-care program once per week. The intervention encourages participants to define individual health behavior goals as well as action, and coping plans to reach these self-determined goals. The effectiveness of the program will be compared between the intervention condition and the control group in terms of behavior change, antecedents of behavior change (e.g., self-efficacy), ability to return to work and increased well-being. Further, subgroup-differences will be assessed including differences between the two countries, socioeconomic inequalities and across age groups. DISCUSSION: The present study will make a contribution to understanding how such an online-based tailored interventions enables study participants to adopt and maintain a healthy lifestyle. Implications can include how such an online program could enrich cardiac rehabilitation aftercare further. TRIAL REGISTRATION: NTR 3706, NCT01909349.

Implementing Health Apps for Digital Public Health - An Implementation Science Approach Adopting the Consolidated Framework for Implementation Research.

Apps are becoming an increasingly important component of modern Public Health and health care. However, successful implementation of apps does not come without challenges. The Consolidated Framework for Implementation Research (CFIR) provides a central typology to support the development of implementation theories and the examination of what works where and why in different contexts. The framework offers a reasonable structure for managing complex, interacting, multi-level, and transient states of constructs in the real world: It draws on constructs from other implementation theories and might be used to conduct formative evaluations or build a common body of knowledge for implementation thru various studies and settings. In a synthesis of the original English language text describing the CFIR, an attempt was made to break the constructs down into the shortest possible concise descriptions for the implementation of health care apps in a structured, selective process. The listed key constructs should help to develop successful implementation plans and models for health apps and show the complexity of a successful implementation. As a perspective article, the aim of the current piece is to present a viewpoint on using the CFIR as a potential support for implementing health apps.

Mediating Effects of Mental Health Problems in a Clinical Sample of Adolescents with Obesity.

INTRODUCTION: The prevalence rates of obesity have increased in recent decades; despite leveling off in recent German studies among children and adolescents, obesity rates remain high. Psychosocial factors have an adverse impact on the maintenance of obesity. Hence, this study examined the mediating effects of mental health problems on the relation between the body mass index standard deviation score (BMI-SDS) and global health-related quality of life (HRQoL) among adolescent inpatients with obesity while controlling for gender and age-group. METHODS: Three simple mediation analyses with gender and age-group as covariates were conducted for n = 313 adolescents with obesity (nfemale = 193, 61.7%) aged 12-17 (M = 14.19, SD = 1.52; BMI-SDS: M = 2.67, SD = 0.52). The adolescents were asked to report their global HRQoL at admission, and their parents estimated the children's mental health problems at home prior to inpatient rehabilitation. RESULTS: Emotional, peer-related, and conduct problems mediated the unfavorable effects of BMI-SDS on global HRQoL, showing high, moderate, and small effect sizes, respectively (completely standardized indirect effect of emotional problems: ß = -0.09, SE = 0.03, 95% B-CI = -0.15 to -0.04; conduct problems: ß = -0.03, SE = 0.02, 95% B-CI = -0.06 to -0.01; peer-related problems: ß = -0.10, SE = 0.03, 95% B-CI = -0.16 to -0.05). CONCLUSION: Mental health problems may be one salient pathway through which BMI-SDS impairs global HRQoL among adolescents with obesity. Hence, inpatient rehabilitation programs for adolescents with obesity should increase their focus more on the development of psychosocial skills. Thus, the promotion of emotion regulation and social-emotional competencies is suggested.

Digitization and Health in Germany: Cross-sectional Nationwide Survey.

BACKGROUND: Digital technologies are shaping medicine and public health. OBJECTIVE: The aim of this study was to investigate the attitudes toward and the use of digital technologies for health-related purposes using a nationwide survey. METHODS: We performed a cross-sectional study using a panel sample of internet users selected from the general population living in Germany. Responses to a survey with 28 items were collected using computer-assisted telephone interviews conducted in October 2020. The items were divided into four topics: (1) general attitudes toward digitization, (2) COVID-19 pandemic, (3) physical activity, and (4) perceived digital health (eHealth) literacy measured with the eHealth Literacy Scale (eHEALS; sum score of 8=lowest to 40=highest perceived eHealth literacy). The data were analyzed in IBM-SPSS24 using relative frequencies. Three univariate multiple regression analyses (linear or binary logistic) were performed to investigate the associations among the sociodemographic factors (age, gender, education, and household income) and digital technology use. RESULTS: The participants included 1014 internet users (n=528, 52.07% women) aged 14 to 93 years (mean 54, SD 17). Among all participants, 66.47% (674/1014) completed up to tertiary (primary and secondary) education and 45.07% (457/1017) reported a household income of up to 3500 Euro/month (1 Euro=US $1.18). Over half (579/1014, 57.10%) reported having used digital technologies for health-related purposes. The majority (898/1014, 88.56%) noted that digitization will be important for therapy and health care, in the future. Only 25.64% (260/1014) reported interest in smartphone apps for health promotion/prevention and 42.70% (433/1014) downloaded the COVID-19 contact-tracing app. Although 52.47% (532/1014) reported that they come across inaccurate digital information on the COVID-19 pandemic, 78.01% (791/1014) were confident in their ability to recognize such inaccurate information. Among those who use digital technologies for moderate physical activity (n=220), 187 (85.0%) found such technologies easy to use and 140 (63.6%) reported using them regularly (at least once a week). Although the perceived eHealth literacy was high (eHEALS mean score 31 points, SD 6), less than half (43.10%, 400/928) were confident in using digital information for health decisions. The use of digital technologies for health was associated with higher household income (odds ratio [OR] 1.28, 95% CI 1.11-1.47). The use of digital technologies for physical activity was associated with younger age (OR 0.95, 95% CI 0.94-0.96) and more education (OR 1.22, 95% CI 1.01-1.46). A higher perceived eHealth literacy score was associated with younger age (ß=-.22, P<.001), higher household income (ß=.21, P<.001), and more education (ß=.14, P<.001). CONCLUSIONS: Internet users in Germany expect that digitization will affect preventive and therapeutic health care in the future. The facilitators and barriers associated with the use of digital technologies for health warrant further research. A gap exists between high confidence in the perceived ability to evaluate digital information and low trust in internet-based information on the COVID-19 pandemic and health decisions.

An 8-Week Study on Social-Cognitive Variables for Physical Activity and Fruit and Vegetable Intake: Are there Stage Transitions?

BACKGROUND: Health behavior change can be modelled in terms of stages, and outcomes of transitions between stages can be categorized into progression, regression, and stagnation. Based on the Health Action Process Approach this study tested whether changes in social-cognitive variables are associated with transitions between stages regarding physical activity (PA) and fruit and vegetable intake (FVI). METHODS: N = 132 participants (M = 50.86 years, SD = 13.17, 61.4% women) were assessed at baseline and 8 weeks later. Data were analysed using multivariate analyses of variance (MANOVA) and post-hoc comparisons. RESULTS: Changes in motivational self-efficacy (η2  = 0.081), maintenance self-efficacy (η2  = 0.119), and recovery self-efficacy (η2  = 0.049) as well as positive outcome expectancies (η2  = 0.070), negative outcome expectancies (η2  = 0.055), and coping planning (η2  = 0.065) were associated with FVI stage progression. For PA, changes were not associated with stage progression. CONCLUSION: To facilitate behavior change effectively, at least for FVI, it is essential to consider underlying mechanisms such as several aspects of self-efficacy in performing the desired health behaviors, outcome expectations, and planning how to overcome barriers. Additionally, the adoption of a stage approach may be a useful starting point to develop stage-matched interventions.