DC ElementWertSprache
dc.contributor.authorDuan, Yanping-
dc.contributor.authorLiang, Wei-
dc.contributor.authorWang, Yanping-
dc.contributor.authorLippke, Sonia-
dc.contributor.authorLin, Zhihua-
dc.contributor.authorShang, Borui-
dc.contributor.authorBaker, Julien Steven-
dc.date.accessioned2025-04-22T12:01:18Z-
dc.date.available2025-04-22T12:01:18Z-
dc.date.issued2022-01-26-
dc.identifier.issn1438-8871en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12738/17463-
dc.description.abstractBackground: Web-based interventions for multiple health behavior change (MHBC) appear to be a promising approach to change unhealthy habits. Limited research has tested this assumption in promoting physical activity (PA) and fruit-vegetable consumption (FVC) among Chinese college students. Moreover, the timing of MHBC intervention delivery and the order of components need to be addressed. Objective: This study aims to examine the effectiveness of 2 sequentially delivered 8-week web-based interventions on physical activity, FVC, and health-related outcomes (BMI, depression, and quality of life) and the differences in the intervention effects between the 2 sequential delivery patterns. The study also aims to explore participants’ experiences of participating in the health program. Methods: We conducted a randomized controlled trial, in which 552 eligible college students (mean 19.99, SD 1.04 years, 322/552, 58.3% female) were randomly assigned to 1 of 3 groups: PA-first group (4 weeks of PA followed by 4 weeks of FVC intervention), FVC-first group (4 weeks of FVC followed by 4 weeks of PA intervention), and a control group (8 weeks of placebo treatment unrelated to PA and FVC). The treatment content of two intervention groups was designed based on the Health Action Process Approach (HAPA) framework. A total of four web-based assessments were conducted: at baseline (T1, n=565), after 4 weeks (T2, after the first behavior intervention, n=486), after 8 weeks (T3, after the second behavior intervention, n=420), and after 12 weeks (T4, 1-month postintervention follow-up, n=348). In addition, after the completion of the entire 8-week intervention, 18 participants (mean 19.56, SD 1.04 years, 10/18, 56% female) who completed the whole program were immediately invited to attend one-to-one and face-to-face semistructured interviews. The entire study was conducted during the fall semester of 2017. Results: The quantitative data supported superior effects on physical activity, FVC, and BMI in the 2 sequential intervention groups compared with the control group. There were no significant differences in physical activity, FVC, and health-related outcomes between the 2 intervention groups after 8 weeks. The FVC-first group contributed to more maintenance of FVC compared with the PA-first group after 12 weeks. Four major themes with several subthemes were identified in the qualitative thematic analysis: PA and FVC behavior, health-related outcomes, correlates of behavior change, and contamination detection. Conclusions: This study provides empirical evidence for the effectiveness of sequentially delivered, web-based MHBC interventions on PA and FVC among Chinese college students. The timing issue of MHBC intervention delivery was preliminarily addressed. Qualitative findings provide an in-depth understanding and supplement the quantitative findings. Overall, this study may contribute considerably to future web-based MHBC interventions.en
dc.language.isoenen_US
dc.publisherHealthcare Worlden_US
dc.relation.ispartofJournal of medical internet researchen_US
dc.subjectCollege studentsen_US
dc.subjectFruit-vegetable consumptionen_US
dc.subjectHealth action process approachen_US
dc.subjectMixed methodsen_US
dc.subjectPhysical activityen_US
dc.subjectQualitative researchen_US
dc.subjectQuantitative researchen_US
dc.subjectWeb-based interventionen_US
dc.subject.ddc150: Psychologieen_US
dc.titleThe effectiveness of sequentially delivered web-based interventions on promoting physical activity and fruit-vegetable consumption among Chinese college Students : mixed methods studyen
dc.typeArticleen_US
dc.description.versionPeerRevieweden_US
tuhh.container.issue1en_US
tuhh.container.volume24en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteConstructor Universityen_US
tuhh.publisher.doi10.2196/30566-
tuhh.publisher.doi10.2196/preprints.30566-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/en_US
dc.type.casraiJournal Article-
dc.type.diniarticle-
dc.type.driverarticle-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
tuhh.container.articlenumbere30566-
local.comment.externalarticle number: e30566. Preprint: https://doi.org/10.2196/preprints.30566. Verlagsversion: https://doi.org/10.2196/30566.en_US
item.creatorGNDDuan, Yanping-
item.creatorGNDLiang, Wei-
item.creatorGNDWang, Yanping-
item.creatorGNDLippke, Sonia-
item.creatorGNDLin, Zhihua-
item.creatorGNDShang, Borui-
item.creatorGNDBaker, Julien Steven-
item.grantfulltextnone-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.creatorOrcidDuan, Yanping-
item.creatorOrcidLiang, Wei-
item.creatorOrcidWang, Yanping-
item.creatorOrcidLippke, Sonia-
item.creatorOrcidLin, Zhihua-
item.creatorOrcidShang, Borui-
item.creatorOrcidBaker, Julien Steven-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.author.deptDepartment Gesundheitswissenschaften-
crisitem.author.orcid0000-0002-8272-0399-
crisitem.author.parentorgFakultät Life Sciences-
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