{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,22]],"date-time":"2026-08-22T16:26:25Z","timestamp":1787415985708,"version":"build-2736575974"},"reference-count":45,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"German Federal Ministry of Education and Research","award":["01EA1709"],"award-info":[{"award-number":["01EA1709"]}]},{"DOI":"10.13039\/100031894","name":"Dieter Schwarz Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100031894","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["DIGITAL HEALTH"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Dietary advice is increasingly shifting towards personalisation enabled by digital technologies. As personalised nutrition recommendation applications rely on user data, little is known about how users differ in attitudes towards data sharing, desired app features, and expected benefits.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In a cross-sectional survey conducted in Germany, adults aged \u226518 years completed a standardised online-questionnaire assessing participant characteristics and attitudes towards personalised nutrition in health applications. Behavioural intention (BI) was measured using the Technology Acceptance Model 3 questionnaire. Four items yielded count-based outcomes (number of selected options). Descriptive statistics, generalised additive models, and exploratory cluster analysis based on age, body mass index (BMI), and BI were conducted using RStudio.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In total, 1,070 participants completed this cross-sectional survey (42.4 \u00b1 15.3 years; BMI 25.6 \u00b1 6.0 kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      ; 75% female). An exploratory cluster analysis (age, BMI, BI) identified three user groups. Clusters differed in expected benefits, willingness to share parameters, core aspects of personalised advice, and perceived importance of app features (all P \u2264 0.01), with small to moderate effect sizes (\u03b7\n                      <jats:sup>2<\/jats:sup>\n                      = 0.006 \u2013 0.10).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Age, BMI, and BI modify users\u2019 attitudes towards personalised dietary advice in health apps, while their overall explanatory power was limited. Responses varied within similar clusters, suggesting apps should be flexible and modular to accommodate individual preferences.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076261456525","type":"journal-article","created":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T13:13:52Z","timestamp":1787231632000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Attitudes towards personalised nutrition recommendations in health apps: Results of a cross-sectional online survey"],"prefix":"10.1177","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2541-8505","authenticated-orcid":false,"given":"Sabrina","family":"Antor","sequence":"first","affiliation":[{"name":"Baden-W\u00fcrttemberg Cooperative State University"},{"name":"Technical University of Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Str\u00fcven","sequence":"additional","affiliation":[{"name":"LMU Munich"},{"name":"German Centre for Cardiovascular Research (DZHK)"},{"name":"LMU Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathrin","family":"Gemesi","sequence":"additional","affiliation":[{"name":"Technical University of Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georges","family":"Weis","sequence":"additional","affiliation":[{"name":"LMU Munich"},{"name":"German Centre for Cardiovascular Research (DZHK)"},{"name":"LMU Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katja","family":"Lotz","sequence":"additional","affiliation":[{"name":"Baden-W\u00fcrttemberg Cooperative State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans","family":"Hauner","sequence":"additional","affiliation":[{"name":"Technical University of Munich"},{"name":"Technical University of Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Brunner","sequence":"additional","affiliation":[{"name":"LMU Munich"},{"name":"German Centre for Cardiovascular Research (DZHK)"},{"name":"LMU Munich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christina","family":"Holzapfel","sequence":"additional","affiliation":[{"name":"Technical University of Munich"},{"name":"Fulda University of Applied Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,8,20]]},"reference":[{"key":"e_1_3_8_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/07315724.2019.1685332"},{"key":"e_1_3_8_3_2","doi-asserted-by":"publisher","DOI":"10.1017\/S1368980020004152"},{"key":"e_1_3_8_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.advnut.2023.06.009"},{"key":"e_1_3_8_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/nu12092819"},{"key":"e_1_3_8_6_2","doi-asserted-by":"publisher","DOI":"10.2196\/29088"},{"key":"e_1_3_8_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12263-014-0450-2"},{"key":"e_1_3_8_8_2","doi-asserted-by":"publisher","DOI":"10.1093\/advances\/nmaa144"},{"key":"e_1_3_8_9_2","doi-asserted-by":"publisher","DOI":"10.63954\/sns00e14"},{"key":"e_1_3_8_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104365"},{"key":"e_1_3_8_11_2","doi-asserted-by":"publisher","DOI":"10.26562\/irjcs.2024.v1107.02"},{"key":"e_1_3_8_12_2","doi-asserted-by":"publisher","DOI":"10.66224\/ARI.80.5.3442"},{"key":"e_1_3_8_13_2","doi-asserted-by":"publisher","DOI":"10.59298\/RIJPP\/2024\/322225"},{"key":"e_1_3_8_14_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0029665123004135"},{"key":"e_1_3_8_15_2","doi-asserted-by":"publisher","DOI":"10.3390\/nu14204435"},{"key":"e_1_3_8_16_2","doi-asserted-by":"publisher","DOI":"10.3390\/nu15020276"},{"key":"e_1_3_8_17_2","doi-asserted-by":"publisher","DOI":"10.2196\/mhealth.5846"},{"key":"e_1_3_8_18_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0029665118002707"},{"key":"e_1_3_8_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.advnut.2025.100377"},{"key":"e_1_3_8_20_2","doi-asserted-by":"publisher","DOI":"10.2196\/66432"},{"key":"e_1_3_8_21_2","doi-asserted-by":"publisher","DOI":"10.2196\/27095"},{"key":"e_1_3_8_22_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0278879"},{"key":"e_1_3_8_23_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnut.2022.898031"},{"key":"e_1_3_8_24_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.44787"},{"key":"e_1_3_8_25_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-019-0886-9"},{"key":"e_1_3_8_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.appet.2013.03.001"},{"key":"e_1_3_8_27_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2023.1213615"},{"key":"e_1_3_8_28_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-5915.2008.00192.x"},{"key":"e_1_3_8_29_2","unstructured":"Lenth RV. emmeans: estimated marginal means aka Least-Squares Means. 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