@misc{DeSantisMuellmannPanetal., author = {De Santis, Karina Karolina and M{\"u}llmann, Saskia and Pan, Chen-Chia and Hoffmann, Stephanie and Spallek, Jacob and Haug, Ulrike and Zeeb, Hajo}, title = {Digital technology use for physical activity promotion: Results of a nationwide survey in Germany}, series = {37th Annual Conference of the European Health Psychology Society}, journal = {37th Annual Conference of the European Health Psychology Society}, doi = {10.13140/RG.2.2.22062.48967}, pages = {1}, abstract = {Background. Digital technologies can contribute to healthy behaviour. We aimed to investigate a digital technology use for physical activity (PA) promotion using a nationwide survey. Methods. Our cross-sectional survey was conducted using a panel sample of 1020 adult internet users living in Germany (age: 18-92 years, 47\% female). Computer-assisted telephone interviews were conducted using a self-developed questionnaire in November 2022. Survey data were analysed using relative frequencies and bivariate logistic regression. Findings. Among all participants, 626/1020 reported internet use in health context and 278/626 (44\%) reported digital technology use for PA promotion. Most of the 278 users for PA promotion reported that such technologies are easy to use (92\%) and use them at least once a week (91\%). The reasons for using digital technologies were to measure own PA (74\%) or to find exercise ideas (57\%). Most participants reported using mobile devices (e.g., smartphones, 77\%, or activity trackers, 58\%) and rated device feedback as helpful (69\%). Among sociodemographic factors (age, gender, education, household income), health status and eHealth literacy, younger age was the only significant predictor (OR=.98, 95\% CI: .97-.99) of digital technology use for PA promotion. Discussion. Despite their availability, the prevalence of digital technology use for PA promotion is still low among adult internet users in Germany. Such technologies are likely to support PA behaviour change because users rate them as easy to use, their feedback as helpful and use them frequently. Health interventions are necessary to encourage digital technology use for PA promotion among adults in Germany.}, language = {en} } @misc{MuellmannDeSantisPanetal., author = {M{\"u}llmann, Saskia and De Santis, Karina Karolina and Pan, Chen-Chia and Hoffmann, Stephanie and Spallek, Jacob and Haug, Ulrike and Zeeb, Hajo}, title = {Attitudes towards digital technology use in health context according to a nationwide survey in Germany}, series = {37th Annual Conference of the European Health Psychology Society}, journal = {37th Annual Conference of the European Health Psychology Society}, doi = {10.13140/RG.2.2.24579.07200}, pages = {1}, abstract = {Background Digitalization has led to a proliferation of digital health technologies and online health information. We aimed to assess the attitudes towards digital technology use in health context using a nationwide survey. Methods A cross-sectional nationwide survey of a panel sample of adult internet users living in Germany was conducted in November 2022. Participants completed computer-assisted telephone interviews using a self-developed, 30-item questionnaire. Survey data were analysed using frequencies and univariate multiple regression analysis. Findings Among 1,020 participants (18-92 years, 56±16 years, 47\% female), 62\% completed up to tertiary education and 42\% reported the household income of up to 3500 Euro/month. The minority of participants reported that they trust health websites when recommended by friends and family (39\%), that their social network relies on the internet for health information (35\%), that they consider the internet as the immediate source of health information (39\%) and that they are interested in digital health technologies (40\%). Most participants (71\%) reported that they prefer to receive health information in person or on paper. The preference for such sources of health information was associated with lower eHealth literacy (β= -.12, p<.001), worse health status (β= -.08, p=.026) and female gender (β= -.08, p=.033). Discussion The trust in the internet as the source of health information and the interest in digital health technologies were low among internet users in Germany. Interventions should strengthen eHealth literacy to empower adults to find, understand and assess reliable health information on the Internet.}, language = {en} } @misc{LoefflerHoffmannDeSantisetal., author = {L{\"o}ffler, Antje and Hoffmann, Stephanie and De Santis, Karina Karolina and M{\"u}llmann, Saskia and Pan, Chen-Chia and Haug, Ulrike and Zeeb, Hajo and Spallek, Jacob}, title = {Digitale Gesundheitskompetenz und Interesse an digitalen Gesundheitstechnologien im l{\"a}ndlichen Raum - eine Querschnitterhebung}, series = {Gesundheitswesen}, volume = {85}, journal = {Gesundheitswesen}, number = {811}, doi = {10.1055/s-0043-1770604}, abstract = {Einleitung Digitale Gesundheitstechnologien k{\"o}nnten einen bedeutenden Beitrag zur Sicherstellung einer hochwertigen und effizienten Gesundheitsversorgung insbesondere im ruralen, d{\"u}nnbesiedelten Raum leisten. Diese Studie untersucht die Zusammenh{\"a}nge zwischen Ruralit{\"a}t, digitaler Gesundheitskompetenz und Interesse an digitalen Gesundheitstechnologien. Methoden Daten einer deutschlandweiten telefonischen Befragung Erwachsener zu Einstellung und Nutzung digitaler Gesundheitstechnologien wurden mit Ruralit{\"a}t (Einwohnerdichte/km²) verlinkt (n=941). Zusammenh{\"a}nge zwischen digitaler Gesundheitskompetenz (eHEALS-Skala), Interesse an digitalen Gesundheitstechnologien (gering/hoch) und Ruralit{\"a}t wurden mit bi- und multivariaten Verfahren, adjustiert f{\"u}r Alter, Sozialstatus und Geschlecht analysiert. Ergebnisse Digitale Gesundheitskompetenz und Interesse an digitalen Gesundheitstechnologien sind im l{\"a}ndlichen Raum schw{\"a}cher ausgepr{\"a}gt als im urbanen Raum (t (877) =-3.13, p=.002, d =-.254; Chi² (1, N=936) =6.04, p=.014). Geringere Einwohnerdichte ist mit einer niedrigeren Gesundheitskompetenz (β=.07; p=.043) und mit weniger Interesse an digitalen Gesundheitstechnologien assoziiert (OR=1.21; 95\%KI 1.084-1.352). Schlussfolgerung Bewohnende des l{\"a}ndlichen Raums unterscheiden sich hinsichtlich ihrer digitalen Gesundheitskompetenz und ihres Interesses an digitalen Gesundheitstechnologien von urbanen Regionen. R{\"a}umliche Faktoren sollten als m{\"o}gliche Zugangsbarrieren bei der Implementierung digitaler Gesundheitstechnologien ber{\"u}cksichtigt werden.}, language = {de} } @misc{SpallekZeebRazum, author = {Spallek, Jacob and Zeeb, Hajo and Razum, Oliver}, title = {Lebenslauforientierte Epidemiologie in der Migrationsforschung}, series = {Bundesgesundheitsblatt}, volume = {66}, journal = {Bundesgesundheitsblatt}, number = {10}, issn = {1437-1588}, doi = {10.1007/s00103-023-03761-w}, pages = {1092 -- 1098}, abstract = {Es gibt viele Gr{\"u}nde f{\"u}r Migration, von freier Entscheidung bis zu erzwungener Flucht. Entsprechend vielf{\"a}ltig sind auch die Vorgeschichten und Lebensumst{\"a}nde der migrierenden Menschen. Die damit einhergehenden unterschiedlichen Expositionen beeinflussen die Gesundheit der Migrant*innen und ihrer Kinder. Um ein solch komplexes Ph{\"a}nomen zu erfassen, ist ein Ansatz erforderlich, der die besonderen Umst{\"a}nde im Lebenslauf der Migrant*innen einbezieht. Ein etablierter methodischer Ansatz, der dies leisten kann, ist die Lebenslaufepidemiologie. Bei der Anwendung dieses Konzepts auf migrierende Bev{\"o}lkerungen werden Expositionen vor, w{\"a}hrend und nach der Migration untersucht. In der epidemiologischen Forschung zur Gesundheit von eingewanderten Menschen ist es w{\"u}nschenswert, alle diese 3 Phasen zu ber{\"u}cksichtigen. Eine Herausforderung hierbei ist, dass verl{\"a}ssliche Daten {\"u}ber den gesamten Lebenslauf nicht immer verf{\"u}gbar sind. Eine valide, zeitnahe Erhebung und datenschutzgerechte Verkn{\"u}pfung longitudinaler Daten aus verschiedenen Quellen k{\"o}nnen die lebenslaufbezogene Forschung zur Gesundheit von Migrant*innen in Deutschland verbessern. Perspektivisch sollten entsprechende Daten auch aus den Herkunftsl{\"a}ndern von Migrant*innen einbezogen werden.}, language = {de} } @misc{PanDeSantisMuellmannetal., author = {Pan, Chen-Chia and De Santis, Karina Karolina and Muellmann, Saskia and Hoffmann, Stephanie and Spallek, Jacob and Pedros Barnils, Nuria and Ahrens, Wolfgang and Zeeb, Hajo and Sch{\"u}tz, Benjamin}, title = {Sociodemographics and digital health literacy in using wearables for health promotion and disease prevention : cross-sectional nationwide survey in Germany}, series = {Journal of prevention}, volume = {46}, journal = {Journal of prevention}, number = {3}, publisher = {Springer US}, address = {New York}, issn = {2731-5533}, doi = {https://doi.org/10.1007/s10935-024-00821-y}, pages = {371 -- 391}, abstract = {Background Wearable technologies have the potential to support health promotion and disease prevention. However, it remains unclear how the role of social determinants of health (SDoH) and digital determinants of health (DDoH) plays in this context. Objective This study investigates differences in sociodemographic factors and digital health literacy between wearable users and non-users, whether the association with wearable use varies across age groups and its potential mediator. Methods A cross-sectional nationwide telephone survey was conducted in November 2022 in a panel of adult internet users in Germany. Assessments included self-reported wearable use, sociodemographic factors (sex, age, education, household size and income, and residence region), and digital health literacy (measured with the eHealth Literacy Scale, eHEALS). Associations between wearable use, sociodemographic factors and digital health literacy were analyzed using binomial logistic regression models in the total sample and with age group stratification, with a supplementary mediation analysis examining digital health literacy as a mediator in the relationship between age and wearable use. Results Overall, 24\% (223/932) of participants (52\% male, mean age 55.6 years) reported using wearables for health. Wearable use was lower among participants aged 65 and above, with lower educational attainment, living in 1-2 person households, with below-average household income, and residing in smaller cities or former East Germany. Wearable use prevalence is substantially lower in older age groups (18-40: 36\%; 41-64: 26\%; 65+:14\%). Wearable users reported higher levels of digital health literacy (mean: 30.7, SD = 5) than non-users (mean: 28.3, SD = 6). Stratified analyses indicate that the association between digital health literacy and wearable use varies by age group, with significant positive association observed in older age groups (OR = 1.00, 95\% CI: 0.94 to 1.07 in age group 18-40; OR = 1.07, 95\% CI: 1.03 to 1.12 in age group 41-64; OR = 1.11, 95\% CI: 1.04 to 1.19 in age group 65+). Mediation analysis indicated that digital health literacy partially mediates the relationship between age and wearable use (indirect effect: coefficient = -0.0156, 95\% CI: -0.0244 to -0.00791, p <.001). Conclusions This study indicates sociodemographic disparities in wearable use among the German population and differences in digital health literacy between wearable users and non-users. A generational divide in wearable use was identified, with older adults being less likely to embrace this technology. This was especially true for older adults with lower digital health literacy. Future public health initiatives employing health technologies should take SDoH and DDoH into consideration to ensure effective and equitable impacts.}, language = {en} } @misc{DeSantisMartensChristiansonetal., author = {De Santis, Karina Karolina and Martens, Lea and Christianson, Lara and Bangert, Benjamin and Hoffmann, Stephanie and Spallek, Jacob and Zeeb, Hajo}, title = {Attitudes of older people towards telerehabilitation : a scoping review protocol}, series = {Open science framework}, journal = {Open science framework}, publisher = {Center for Open Science}, address = {Charlottesville, VA}, doi = {10.17605/OSF.IO/F965Z}, pages = {1 -- 8}, language = {en} }