[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"insufficient-physical-activity\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:insufficient-physical-activity":33},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100626897","efficacy-of-the-proactive-automatized-lifestyle-intervention-100626897",false,"NCT07441603","Efficacy of the Proactive Automatized Lifestyle Intervention","Investigating the Efficacy of the Proactive Automatized Lifestyle Intervention Among General Hospital Patients","ePAL","Inclusion Criteria:\n\n* Admitted to participating wards of the University Medicine Hospital Greifswald on Mondays through Thursdays\n\nExclusion Criteria:\n\n* cognitively or physically incapable\n* presence of a highly infectious disease\n* discharged or transferred within the first 24 hours\n* already recruited for study during previous stay\n* insufficient German language skills\n* employed the conducting research department\n* accompanying persons\n* no email address (and no phone number)","ALL","18 Years","64 Years",{"count":21,"type":22},788,"ESTIMATED","INTERVENTIONAL",[25],"NA","Background: Individual brief behavior change interventions often do not sufficiently address the common co-occurrence of multiple health risk behaviors among people. In addition, many interventions often fail to reach the majority of the target population and particularly those people who need them the most. To address these core challenges of individual prevention research, the \"Proactive Automatised Lifestyle intervention (PAL)\" was developed, a proactive screening and brief intervention driven by psychological health behavior change theory to motivate participants for behavior change. The trial ePAL aims to investigate the efficacy of the multi-behavior change intervention adressing tobacco smoking, alcohol use, diet and physical activity among general hospital patients over 2 years; and to investigate differential efficacy in different subgroups of patients.\n\nMethods: All patients admitted to non-intensive care wards on five medical departments within the University Medicine Hospital Greifswald (internal medicine A \\& B, surgery, trauma surgery, ear-nose-throat) and aged 18 to 64 years are systematically approached by study assistants and asked to first participate in a survey and then in the randomizd controlled trial, irrespective of their reason of admission. A total of 788 participants is allocated to two study groups. The intervention group receives individualized feedback on all four health risk behaviors to enhance motivation to change identified health risk behaviors. The feedback is driven by psychological behavior change theory, tailored to the participants' current stages of change and delivered after baseline and at months 1 and 3. The control group receives routine care and minimal assessment only. Follow-ups are conducted at months 6, 12 and 24 after baseline; and more are planned for. Efficacy will be measured concerning self-reported change in health risk behaviors, health and motivation to change measures using latent growth curve modelling.\n\nDiscussion: The trial will provide information on the efficacy of a population-based and individually tailored brief intervention to systematically provide individualized feedback to each patient for a healthy living. When found to be effective and implemented widely, such interventions may contribute to the prevention of widespread non-communicable diseases.",[28,29,30,31,32,33,34],"Health Risk Behaviors","Tobacco Smoking","Alcohol Use","Unhealthy Diet, Exercise, Smoking, and Alcohol Use","Unhealthy Diet","Insufficient Physical Activity","Vegetable Intake","RECRUITING","2026-06-30",{"date":38,"type":39},"2026-07-02","ACTUAL",{"date":41,"type":39},"2026-06-25",{"date":43,"type":22},"2029-06",{"name":45,"class":46},"University Medicine Greifswald","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":52,"acronym":53,"eligibilityCriteria":54,"healthyVolunteers":11,"sex":55,"minAge":18,"maxAge":56,"enrollmentInfo":57,"targetDuration":4,"studyType":23,"phases":59,"briefSummary":60,"conditions":61,"keywords":64,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":47},"100610094","effectiveness-of-interventions-to-promote-physical-activity-during-pregnancy-100610094","NCT07223112","Effectiveness of Interventions to Promote Physical Activity During Pregnancy","SLMM","Eligibility Criteria\n\n* 18 to 45 years old\n* speak English\n* 8 to 12 weeks pregnant (gestation)\n* singleton pregnancy (no twins or more)\n* self-report less than 150 minutes\u002Fweek of moderate-intensity physical activity\n* have or are willing to identify a physical activity partner\n* have a cell phone with the capacity for Fitbit application (app.); secure transmission of Fitbit data; receive coaching text messages or, if not, a computer they can use to synch the fitbit, send data, and receive email messages in lieu of texts.\n\nExclusion Criteria\n\n• Women with physical activity restrictions (e.g., placenta previa) that prevent them from completing ACOG recommended pregnancy physical activity","FEMALE","45 Years",{"count":58,"type":22},60,[25],"Pregnant women are more sedentary (sit, recline, lie down more) on average than non-pregnant women (more than 12 versus less than 8 waking sedentary hours\u002Fday). Sedentary behavior has been related to psychological distress, pregnancy weight gain, impaired sleep and very large size infants, while adequate physical activity has been found to improve mental health, decrease risk of high blood pressure in pregnancy and lower risk of preterm birth infants (less than 37 weeks gestation). Decreased sedentary behavior and increased physical activity may be crucial and neglected lifestyle behavior changes that can be promoted to reduce these and other maternal health and birth outcome problems among pregnant women.",[62,63,33],"Pregnancy","Sedentary Behavior",[65,66,67,68,69,70,71,72,73],"Sit Less, Move More effectiveness for pregnant women","physical activity habit formation","sedentary behavior habit reversal","sedentary time disruption","wearable device","nudging","health coach","social support","behavior change","2026-03-10",{"date":76,"type":39},"2026-03-11",{"date":78,"type":39},"2026-02-01",{"date":80,"type":22},"2027-08-31",{"name":82,"class":46},"University of Central Florida"]