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Spiga F, Tomlinson E, Davies AL, Moore TH, Dawson S, Breheny K, Savović J, Hodder RK, Wolfenden L, Higgins JP, Summerbell CD. Interventions to prevent obesity in children aged 12 to 18 years old. Cochrane Database Syst Rev 2024; 5:CD015330. [PMID: 38763518 PMCID: PMC11102824 DOI: 10.1002/14651858.cd015330.pub2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
BACKGROUND Prevention of obesity in adolescents is an international public health priority. The prevalence of overweight and obesity is over 25% in North and South America, Australia, most of Europe, and the Gulf region. Interventions that aim to prevent obesity involve strategies that promote healthy diets or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective, and numerous new studies have been published over the last five years since the previous version of this Cochrane Review. OBJECTIVES To assess the effects of interventions that aim to prevent obesity in adolescents by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was February 2023. SELECTION CRITERIA Randomised controlled trials in adolescents (mean age 12 years and above but less than 19 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our outcomes were BMI, zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS This review includes 74 studies (83,407 participants); 54 studies (46,358 participants) were included in meta-analyses. Sixty studies were based in high-income countries. The main setting for intervention delivery was schools (57 studies), followed by home (nine studies), the community (five studies) and a primary care setting (three studies). Fifty-one interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over 28 months. Sixty-two studies declared non-industry funding; five were funded in part by industry. Dietary interventions versus control The evidence is very uncertain about the effects of dietary interventions on body mass index (BMI) at short-term follow-up (mean difference (MD) -0.18, 95% confidence interval (CI) -0.41 to 0.06; 3 studies, 605 participants), medium-term follow-up (MD -0.65, 95% CI -1.18 to -0.11; 3 studies, 900 participants), and standardised BMI (zBMI) at long-term follow-up (MD -0.14, 95% CI -0.38 to 0.10; 2 studies, 1089 participants); all very low-certainty evidence. Compared with control, dietary interventions may have little to no effect on BMI at long-term follow-up (MD -0.30, 95% CI -1.67 to 1.07; 1 study, 44 participants); zBMI at short-term (MD -0.06, 95% CI -0.12 to 0.01; 5 studies, 3154 participants); and zBMI at medium-term (MD 0.02, 95% CI -0.17 to 0.21; 1 study, 112 participants) follow-up; all low-certainty evidence. Dietary interventions may have little to no effect on serious adverse events (two studies, 377 participants; low-certainty evidence). Activity interventions versus control Compared with control, activity interventions do not reduce BMI at short-term follow-up (MD -0.64, 95% CI -1.86 to 0.58; 6 studies, 1780 participants; low-certainty evidence) and probably do not reduce zBMI at medium- (MD 0, 95% CI -0.04 to 0.05; 6 studies, 5335 participants) or long-term (MD -0.05, 95% CI -0.12 to 0.02; 1 study, 985 participants) follow-up; both moderate-certainty evidence. Activity interventions do not reduce zBMI at short-term follow-up (MD 0.02, 95% CI -0.01 to 0.05; 7 studies, 4718 participants; high-certainty evidence), but may reduce BMI slightly at medium-term (MD -0.32, 95% CI -0.53 to -0.11; 3 studies, 2143 participants) and long-term (MD -0.28, 95% CI -0.51 to -0.05; 1 study, 985 participants) follow-up; both low-certainty evidence. Seven studies (5428 participants; low-certainty evidence) reported data on serious adverse events: two reported injuries relating to the exercise component of the intervention and five reported no effect of intervention on reported serious adverse events. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, do not reduce BMI at short-term follow-up (MD 0.03, 95% CI -0.07 to 0.13; 11 studies, 3429 participants; high-certainty evidence), and probably do not reduce BMI at medium-term (MD 0.01, 95% CI -0.09 to 0.11; 8 studies, 5612 participants; moderate-certainty evidence) or long-term (MD 0.06, 95% CI -0.04 to 0.16; 6 studies, 8736 participants; moderate-certainty evidence) follow-up. They may have little to no effect on zBMI in the short term, but the evidence is very uncertain (MD -0.09, 95% CI -0.2 to 0.02; 3 studies, 515 participants; very low-certainty evidence), and they may not reduce zBMI at medium-term (MD -0.05, 95% CI -0.1 to 0.01; 6 studies, 3511 participants; low-certainty evidence) or long-term (MD -0.02, 95% CI -0.05 to 0.01; 7 studies, 8430 participants; low-certainty evidence) follow-up. Four studies (2394 participants) reported data on serious adverse events (very low-certainty evidence): one reported an increase in weight concern in a few adolescents and three reported no effect. AUTHORS' CONCLUSIONS The evidence demonstrates that dietary interventions may have little to no effect on obesity in adolescents. There is low-certainty evidence that activity interventions may have a small beneficial effect on BMI at medium- and long-term follow-up. Diet plus activity interventions may result in little to no difference. Importantly, this updated review also suggests that interventions to prevent obesity in this age group may result in little to no difference in serious adverse effects. Limitations of the evidence include inconsistent results across studies, lack of methodological rigour in some studies and small sample sizes. Further research is justified to investigate the effects of diet and activity interventions to prevent childhood obesity in community settings, and in young people with disabilities, since very few ongoing studies are likely to address these. Further randomised trials to address the remaining uncertainty about the effects of diet, activity interventions, or both, to prevent childhood obesity in schools (ideally with zBMI as the measured outcome) would need to have larger samples.
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Affiliation(s)
- Francesca Spiga
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Annabel L Davies
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Theresa Hm Moore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jelena Savović
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Carolyn D Summerbell
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
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Zeinomar N, Grant-Alfieri A, Burke KR, de Hoz M, Tehranifar P, Walker DAH, Morton T, Shepard P, Herbstman JB, Miller RL, Perera F, Terry MB. Cancer Risk Reduction Through Education of Adolescents: Development of a Tailored Cancer Risk-Reduction Educational Tool. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2022; 37:1220-1227. [PMID: 33523407 DOI: 10.1007/s13187-020-01943-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/14/2020] [Indexed: 06/12/2023]
Abstract
Growing evidence links adolescent exposures to cancer risk later in life, particularly for common cancers like breast. The adolescent time period is also important for cancer risk reduction as many individual lifestyle behaviors are initiated including smoking and alcohol use. We developed a cancer risk-reduction educational tool tailored for adolescents that focused on five modifiable cancer risk factors. To contextualize risk factors in adolescents' social and physical environments, the intervention also focused on structural barriers to individual- and community-level change, with an emphasis on environmental justice or the fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies. The educational tool consisted of a 50-min module that included an introduction to cancer biology including genetic susceptibility and environmental interactions, cancer burden in the local community, and risk reduction strategies. The module also included an interactive activity in which adolescent students identify cancer risk factors and brainstorm strategies for risk reduction at both the individual and community level. We administered the module to 12 classes of over 280 high school and college students in New York City. Cancer risk reduction strategies identified by the students included family- or peer-level strategies such as team physical activity and community-level action including improving parks and taxing sugary foods. We developed a novel and interactive cancer risk-reduction education tool focused on multiple cancers that can be adopted by other communities and educational institutions.
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Affiliation(s)
- Nur Zeinomar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, Room 1611, New York, NY, 10032, USA
| | - Amelia Grant-Alfieri
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Kimberly R Burke
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, Room 1611, New York, NY, 10032, USA
| | | | | | | | - Julie B Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Rachel L Miller
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Pulmonary, Allergy, Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Frederica Perera
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, Room 1611, New York, NY, 10032, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
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Grant-Alfieri A, Burke K, Zeinomar N, Delgado ML, Terry MB. Cancer Education Interventions in Adolescents: A Systematic Review of Scope and Content. HEALTH EDUCATION & BEHAVIOR 2022; 49:993-1003. [PMID: 35898117 DOI: 10.1177/10901981221109142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Given the long induction time of many cancers and the fact that modifiable risk factors (e.g., cigarette smoking) including preventive factors (e.g., human papillomavirus [HPV] vaccination, healthy dietary and physical activity patterns) are influenced in adolescence, educating adolescents about cancer causation and risk reduction may have a large impact on reducing the cancer burden. We conducted a systematic review of literature evaluating the impact of cancer education interventions on adolescent knowledge of cancer risk reduction. We searched for articles published from 2000 to 2019 and identified 33 studies meeting our criteria. Given the methodological heterogeneity across studies, we briefly assessed effectiveness but focused on examining the design of the intervention and study. The majority of studies took place outside of the United States (67%). Most studies solely addressed skin or cervical cancer (67%) with only 18% (n = 6) discussing multiple cancers. The majority of interventions were a single-session (55%), did not involve a control or comparison group (67%), and were evaluated using a pre-test and a single post-test (61%); some studies administered multiple post-tests. Few studies (12%) investigated adolescents' knowledge of lifestyle and environmental risk factors at both the individual and community level. Most studies (94%) reported improvement in knowledge following an intervention. Our review revealed wide methodological variation and a deficit in research evaluating interventions that address multiple cancer types and risk factors. Future research should robustly test whether comprehensive cancer education for adolescents can reduce the cancer burden, particularly in communities with major cancer health disparities.
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Affiliation(s)
| | - Kimberly Burke
- Columbia University Mailman School of Public Health, New York, NY, USA.,Columbia University Irving Medical Center, New York, NY, USA
| | - Nur Zeinomar
- Columbia University Mailman School of Public Health, New York, NY, USA
| | | | - Mary Beth Terry
- Columbia University Mailman School of Public Health, New York, NY, USA.,Columbia University Irving Medical Center, New York, NY, USA
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Stark AL, Geukes C, Dockweiler C. Digital Health Promotion and Prevention in Settings: Scoping Review. J Med Internet Res 2022; 24:e21063. [PMID: 35089140 PMCID: PMC8838600 DOI: 10.2196/21063] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/16/2020] [Accepted: 12/02/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Digital technologies are increasingly integrating into people's daily living environments such as schools, sport clubs, and health care facilities. These settings play a crucial role for health promotion and prevention because they affect the health of their members, as the World Health Organization has declared. Implementing digital health promotion and prevention in settings offers the opportunity to reach specific target groups, lower the costs of implementation, and improve the health of the population. Currently, there is a lack of scientific evidence that reviews the research on digital health promotion and prevention in settings. OBJECTIVE This scoping review aims to provide an overview of research targeting digital health promotion and primary prevention in settings. It assesses the range of scientific literature regarding outcomes such as applied technology, targeted setting, and area of health promotion or prevention, as well as identifies research gaps. METHODS The scoping review was conducted following the Levac, Colquhoun, and O'Brien framework. We searched scientific databases and gray literature for articles on digital setting-based health promotion and prevention published from 2010 to January 2020. We included empirical and nonempirical publications in English or German and excluded secondary or tertiary prevention and health promotion at the workplace. RESULTS From 8888 records, the search resulted in 200 (2.25%) included publications. We identified a huge diversity of literature regarding digital setting-based health promotion and prevention. The variety of technology types extends from computer- and web-based programs to mobile devices (eg, smartphone apps) and telemonitoring devices (sensors). We found analog, digital, and blended settings in which digital health promotion and prevention takes place. The most frequent analog settings were schools (39/200, 19.5%) and neighborhoods or communities (24/200, 12%). Social media apps were also included because in some studies they were defined as a (digital) setting. They accounted for 31.5% (63/200) of the identified settings. The most commonly focused areas of health promotion and prevention were physical activity (81/200, 40.5%), nutrition (45/200, 22.5%), and sexual health (34/200, 17%). Most of the interventions combined several health promotion or prevention methods, including environmental change; providing information, social support, training, or incentives; and monitoring. Finally, we found that the articles mostly reported on behavioral rather than structural health promotion and prevention. CONCLUSIONS The research field of digital health promotion and prevention in settings is heterogeneous. At the same time, we identified research gaps regarding the absence of valid definitions of relevant terms (eg, digital settings) and the lack of literature on structural health promotion and prevention in settings. Therefore, it remains unclear how digital technologies can contribute to structural (or organizational) changes in settings. More research is needed to successfully implement digital technologies to achieve health promotion and prevention in settings.
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Affiliation(s)
- Anna Lea Stark
- School of Public Health, Centre for ePublic Health, Bielefeld University, Bielefeld, Germany
| | - Cornelia Geukes
- School of Public Health, Centre for ePublic Health, Bielefeld University, Bielefeld, Germany
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Chau MM, Burgermaster M, Mamykina L. The use of social media in nutrition interventions for adolescents and young adults-A systematic review. Int J Med Inform 2018; 120:77-91. [PMID: 30409348 PMCID: PMC6983924 DOI: 10.1016/j.ijmedinf.2018.10.001] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 09/12/2018] [Accepted: 10/01/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Social media is a potentially engaging way to support adolescents and young adults in maintaining healthy diets and learning about nutrition. This review identifies interventions that use social media to promote nutrition, examines their content and features, and evaluates the evidence for the use of such platforms among these groups. MATERIAL AND METHODS We conducted a systematic search of 5 databases (PubMed, CINAHL, EMBASE, PsycINFO, and ACM Digital Library) for studies that included: 1) adolescents and/or young adults (ages 10-19; ages 18-25); 2) a nutrition education or behavior change intervention component, or outcomes related to nutrition knowledge or dietary changes; and 3) a social media component that allowed users to communicate or share information with peers. RESULTS 16 articles were identified that included a social media component in a nutrition-related intervention for adolescents or young adults. Interventions included features in 7 categories: social media; communication; tracking health; education; tailoring; social support; and gamification. 11 out of the 16 studies had at least one significant nutrition-related clinical or behavioral outcome. CONCLUSION Social media is a promising feature for nutrition interventions for adolescents and young adults. A limited number of studies were identified that included social media. A majority of the identified studies had positive outcomes. We found that most studies utilized only basic social media features, did not evaluate the efficacy of social media components, and did not differentiate between the efficacy of social media compared to other delivery mechanisms.
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Affiliation(s)
- Michelle M Chau
- Department of Biomedical Informatics, Columbia University, 622 West 168th Street, PH-20, New York, NY, 10032, United States.
| | - Marissa Burgermaster
- Department of Biomedical Informatics, Columbia University, 622 West 168th Street, PH-20, New York, NY, 10032, United States
| | - Lena Mamykina
- Department of Biomedical Informatics, Columbia University, 622 West 168th Street, PH-20, New York, NY, 10032, United States
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Effectiveness and Behavioral Mechanisms of Social Media Interventions for Positive Nutrition Behaviors in Adolescents: A Systematic Review. J Adolesc Health 2018; 63:531-545. [PMID: 30197198 DOI: 10.1016/j.jadohealth.2018.06.009] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 05/13/2018] [Accepted: 06/10/2018] [Indexed: 12/20/2022]
Abstract
PURPOSE To determine the effectiveness of social media-based interventions in promoting positive changes in nutrition behaviors amongst adolescents, and identify the behavior change technique(s) (BCT(s)) that were used in effective interventions. METHODS MEDLINE, Embase, PsycINFO, Cinahl, and Cochrane library were systematically searched. Eligible studies included: participants aged 13-18 years; use of one or more social media platform(s) in the intervention; a comparison group not exposed to the social media-based intervention; nutrition- and diet-related behavior outcome(s); and an experimental study design. BCTs were identified using a behavior change taxonomy. Quality and risk of bias assessments were also conducted. RESULTS Seven eligible interventions were included, varying from internet-only programs to in-person programs with internet or website-based component(s). Studies used relatively outdated forms of social media such as purpose-built discussion boards or chat rooms rather than commercial social media interfaces (e.g. Facebook). Five of the seven interventions demonstrated improvements in at least one nutrition behavior. The most common improvement was for fruit or vegetable intake, and two of four studies showed improvements for sugar-sweetened beverage consumption. The most common BCT used was social support, followed by demonstration of behavior, self-monitoring, goal setting, and feedback. CONCLUSIONS The current evidence base is equivocal with respect to changing overall dietary behaviors, as increasing intakes of desirable food groups were more successful than decreasing unfavorable food habits. Further research using better quality interventions, full description of the BCTs, long-term follow-up, and popular contemporary social media platforms to build the evidence base are required.
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MacArthur G, Caldwell DM, Redmore J, Watkins SH, Kipping R, White J, Chittleborough C, Langford R, Er V, Lingam R, Pasch K, Gunnell D, Hickman M, Campbell R. Individual-, family-, and school-level interventions targeting multiple risk behaviours in young people. Cochrane Database Syst Rev 2018; 10:CD009927. [PMID: 30288738 PMCID: PMC6517301 DOI: 10.1002/14651858.cd009927.pub2] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Engagement in multiple risk behaviours can have adverse consequences for health during childhood, during adolescence, and later in life, yet little is known about the impact of different types of interventions that target multiple risk behaviours in children and young people, or the differential impact of universal versus targeted approaches. Findings from systematic reviews have been mixed, and effects of these interventions have not been quantitatively estimated. OBJECTIVES To examine the effects of interventions implemented up to 18 years of age for the primary or secondary prevention of multiple risk behaviours among young people. SEARCH METHODS We searched 11 databases (Australian Education Index; British Education Index; Campbell Library; Cumulative Index to Nursing and Allied Health Literature (CINAHL); Cochrane Central Register of Controlled Trials (CENTRAL), in the Cochrane Library; Embase; Education Resource Information Center (ERIC); International Bibliography of the Social Sciences; MEDLINE; PsycINFO; and Sociological Abstracts) on three occasions (2012, 2015, and 14 November 2016)). We conducted handsearches of reference lists, contacted experts in the field, conducted citation searches, and searched websites of relevant organisations. SELECTION CRITERIA We included randomised controlled trials (RCTs), including cluster RCTs, which aimed to address at least two risk behaviours. Participants were children and young people up to 18 years of age and/or parents, guardians, or carers, as long as the intervention aimed to address involvement in multiple risk behaviours among children and young people up to 18 years of age. However, studies could include outcome data on children > 18 years of age at the time of follow-up. Specifically,we included studies with outcomes collected from those eight to 25 years of age. Further, we included only studies with a combined intervention and follow-up period of six months or longer. We excluded interventions aimed at individuals with clinically diagnosed disorders along with clinical interventions. We categorised interventions according to whether they were conducted at the individual level; the family level; or the school level. DATA COLLECTION AND ANALYSIS We identified a total of 34,680 titles, screened 27,691 articles and assessed 424 full-text articles for eligibility. Two or more review authors independently assessed studies for inclusion in the review, extracted data, and assessed risk of bias.We pooled data in meta-analyses using a random-effects (DerSimonian and Laird) model in RevMan 5.3. For each outcome, we included subgroups related to study type (individual, family, or school level, and universal or targeted approach) and examined effectiveness at up to 12 months' follow-up and over the longer term (> 12 months). We assessed the quality and certainty of evidence using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach. MAIN RESULTS We included in the review a total of 70 eligible studies, of which a substantial proportion were universal school-based studies (n = 28; 40%). Most studies were conducted in the USA (n = 55; 79%). On average, studies aimed to prevent four of the primary behaviours. Behaviours that were most frequently addressed included alcohol use (n = 55), drug use (n = 53), and/or antisocial behaviour (n = 53), followed by tobacco use (n = 42). No studies aimed to prevent self-harm or gambling alongside other behaviours.Evidence suggests that for multiple risk behaviours, universal school-based interventions were beneficial in relation to tobacco use (odds ratio (OR) 0.77, 95% confidence interval (CI) 0.60 to 0.97; n = 9 studies; 15,354 participants) and alcohol use (OR 0.72, 95% CI 0.56 to 0.92; n = 8 studies; 8751 participants; both moderate-quality evidence) compared to a comparator, and that such interventions may be effective in preventing illicit drug use (OR 0.74, 95% CI 0.55 to 1.00; n = 5 studies; 11,058 participants; low-quality evidence) and engagement in any antisocial behaviour (OR 0.81, 95% CI 0.66 to 0.98; n = 13 studies; 20,756 participants; very low-quality evidence) at up to 12 months' follow-up, although there was evidence of moderate to substantial heterogeneity (I² = 49% to 69%). Moderate-quality evidence also showed that multiple risk behaviour universal school-based interventions improved the odds of physical activity (OR 1.32, 95% CI 1.16 to 1.50; I² = 0%; n = 4 studies; 6441 participants). We considered observed effects to be of public health importance when applied at the population level. Evidence was less certain for the effects of such multiple risk behaviour interventions for cannabis use (OR 0.79, 95% CI 0.62 to 1.01; P = 0.06; n = 5 studies; 4140 participants; I² = 0%; moderate-quality evidence), sexual risk behaviours (OR 0.83, 95% CI 0.61 to 1.12; P = 0.22; n = 6 studies; 12,633 participants; I² = 77%; low-quality evidence), and unhealthy diet (OR 0.82, 95% CI 0.64 to 1.06; P = 0.13; n = 3 studies; 6441 participants; I² = 49%; moderate-quality evidence). It is important to note that some evidence supported the positive effects of universal school-level interventions on three or more risk behaviours.For most outcomes of individual- and family-level targeted and universal interventions, moderate- or low-quality evidence suggests little or no effect, although caution is warranted in interpretation because few of these studies were available for comparison (n ≤ 4 studies for each outcome).Seven studies reported adverse effects, which involved evidence suggestive of increased involvement in a risk behaviour among participants receiving the intervention compared to participants given control interventions.We judged the quality of evidence to be moderate or low for most outcomes, primarily owing to concerns around selection, performance, and detection bias and heterogeneity between studies. AUTHORS' CONCLUSIONS Available evidence is strongest for universal school-based interventions that target multiple- risk behaviours, demonstrating that they may be effective in preventing engagement in tobacco use, alcohol use, illicit drug use, and antisocial behaviour, and in improving physical activity among young people, but not in preventing other risk behaviours. Results of this review do not provide strong evidence of benefit for family- or individual-level interventions across the risk behaviours studied. However, poor reporting and concerns around the quality of evidence highlight the need for high-quality multiple- risk behaviour intervention studies to further strengthen the evidence base in this field.
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Affiliation(s)
- Georgina MacArthur
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Deborah M Caldwell
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - James Redmore
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Sarah H Watkins
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Ruth Kipping
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - James White
- School of Medicine, Cardiff UniversityDECIPHer (Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement), Centre for Trials Research4th Floor Neuadd MeirionnyddCardiffUKCF14 4YS
| | - Catherine Chittleborough
- University of AdelaideSchool of Public HealthLevel 7, 178 North Terrace, Mail Drop DX 650 550AdelaideSouth AustraliaAustralia5005
| | - Rebecca Langford
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Vanessa Er
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Raghu Lingam
- Newcastle UniversityInstitute of Health and SocietyBaddiley‐Clark Building, Richardson RoadNewcastle Upon TyneUKNE2 4AX
| | - Keryn Pasch
- University of TexasDepartment of Kinesiology and Health Education1 University Station, D3700AustinTexasUSA78712
| | - David Gunnell
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Matthew Hickman
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
| | - Rona Campbell
- University of BristolPopulation Health Sciences, Bristol Medical School39 Whatley RoadBristolUKBS8 2PS
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Loescher LJ, Rains SA, Kramer SS, Akers C, Moussa R. A Systematic Review of Interventions to Enhance Healthy Lifestyle Behaviors in Adolescents Delivered via Mobile Phone Text Messaging. Am J Health Promot 2016; 32:865-879. [PMID: 27923885 DOI: 10.1177/0890117116675785] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To systematically review healthy lifestyle interventions targeted to adolescents and delivered using text messaging (TM). DATA SOURCE PubMed, Embase, CINAHL, PsycINFO, and Web of Science databases. Study Inclusion Criteria: Research articles published during 2011 to 2014; analyses focused on intervention targeting adolescents (10-19 years), with healthy lifestyle behaviors as main variables, delivered via mobile phone-based TM. DATA EXTRACTION The authors extracted data from 27 of 281 articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. DATA SYNTHESIS Adolescent and setting characteristics, study design and rigor, intervention effectiveness, challenges, and risk of bias. RESULTS Across studies, 16 (59.3%) of 27 included non-Caucasians. The gender was split for 22 (81.5%) of 27 studies. Thirteen studies were randomized controlled trials. There was heterogeneity among targeted conditions, rigor of methods, and intervention effects. Interventions for monitoring/adherence (n = 8) reported more positive results than those for health behavior change (n = 19). Studies that only included message delivered via TM (n = 14) reported more positive effects than studies integrating multiple intervention components. Interventions delivered using TM presented minimal challenges, but selection and performance bias were observed across studies. CONCLUSION Interventions delivered using TM have the potential, under certain conditions, to improve healthy lifestyle behaviors in adolescents. However, the rigor of studies varies, and established theory and validated measures have been inconsistently incorporated.
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Affiliation(s)
- Lois J Loescher
- 1 Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, USA.,2 College of Nursing, The University of Arizona, Tucson, AZ, USA
| | - Stephen A Rains
- 3 Department of Communication, The University of Arizona, Tucson, AZ, USA
| | - Sandra S Kramer
- 4 Arizona Health Sciences Library-Tucson, The University of Arizona, Tucson, AZ, USA
| | - Chelsie Akers
- 3 Department of Communication, The University of Arizona, Tucson, AZ, USA
| | - Renee Moussa
- 1 Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, USA
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Pedersen S, Grønhøj A, Thøgersen J. Texting your way to healthier eating? Effects of participating in a feedback intervention using text messaging on adolescents' fruit and vegetable intake. HEALTH EDUCATION RESEARCH 2016; 31:171-184. [PMID: 26850061 DOI: 10.1093/her/cyv104] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 12/20/2015] [Indexed: 06/05/2023]
Abstract
This study investigates the effects of a feedback intervention employing text messaging during 11 weeks on adolescents' behavior, self-efficacy and outcome expectations regarding fruit and vegetable intake. A pre- and post-survey was completed by 1488 adolescents school-wise randomly allocated to a control group and two experimental groups. Both experimental groups set weekly goals on fruit and vegetable intake, reported their consumption daily and subsequently received feedback on their performance via mobile text messaging (Short Message Service [SMS]). The second experimental group also received, in addition, a 45-min nutrition education session from a dietitian during school. The direct effects of the interventions were not significant. However, for adolescents participating in the SMS routines, there were significant effects of the level of engagement in the intervention, reflected in the number of sent text messages, on intervention outcomes. Participants sending more than half of the possible text messages significantly increased their fruit and vegetable intake. Participants sending between 10% and 50% of the possible text messages experienced a significant drop in self-efficacy and those sending less than 10% experienced a significant drop in outcome expectations. The findings suggest that participants' active engagement in an intervention is crucial to its success. Implications for health-promoting interventions are discussed.
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Affiliation(s)
- Susanne Pedersen
- MAPP, Department of Management, Business and Social Sciences, Aarhus University, Bartholins Allé 10, Aarhus C 8000, Denmark
| | - Alice Grønhøj
- MAPP, Department of Management, Business and Social Sciences, Aarhus University, Bartholins Allé 10, Aarhus C 8000, Denmark
| | - John Thøgersen
- MAPP, Department of Management, Business and Social Sciences, Aarhus University, Bartholins Allé 10, Aarhus C 8000, Denmark
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Davis SW, Oakley-Girvan I. mHealth Education Applications Along the Cancer Continuum. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2015; 30:388-394. [PMID: 25482319 DOI: 10.1007/s13187-014-0761-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The majority of adults worldwide own a mobile phone, including those in under-resourced communities. Mobile health (mhealth) education technologies present a promising mechanism for improving cancer prevention, treatment, and follow-up. The purpose of this study was to summarize the literature related to mobile phone (mhealth) applications for patient education specific to cancer and identify current recommendations from randomized studies. In particular, we were interested in identifying mobile phone applications along the cancer continuum, from cancer prevention to survivorship. The authors identified 28 articles reporting on mobile applications for patients related to cancer. Articles were identified in all categories along the cancer continuum, including health professional involvement in application development. Of these, six involved direct patient education, and eight focused on improving patient/professional communication and patient self-management. However, only six of the studies were randomized interventions. The potential for mobile applications to help overcome the "health care gap" has not yet been realized in the studies from the USA that were reviewed for this paper. However, early recommendations are emerging that support the use of mHealth communications to change behaviors for cancer prevention, early detection, and symptom management and improved patient-provider communication. Recommendations include short messages, use of multiple modalities as patient characteristics dictate comfort with mHealth communication, and the inclusion of patients and health professionals to develop and test applications. Tailoring mHealth to particular cultures, languages, and ethnic groups may also represent a unique possibility to provide accessible information and education at minimal cost for under-resourced communities and individuals.
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Affiliation(s)
- Sharon Watkins Davis
- Cancer Prevention Institute of California, 2201 Walnut Ave., Suite 300, Fremont, CA, 94538, USA,
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Radecki Breitkopf C, Asiedu GB, Egginton J, Sinicrope P, Opyrchal SML, Howell LA, Patten C, Boardman L. An investigation of the colorectal cancer experience and receptivity to family-based cancer prevention programs. Support Care Cancer 2014; 22:2517-25. [PMID: 24728620 DOI: 10.1007/s00520-014-2245-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Accepted: 04/01/2014] [Indexed: 10/25/2022]
Abstract
PURPOSE Cancer is a shared family experience and may provide a "teachable moment" to motivate at-risk family members to adopt cancer prevention and health promotion behaviors. This study explored how a diagnosis of colorectal cancer (CRC) is experienced by family members and may be used to develop a family-based CRC prevention program. Preferences regarding content, timing, and modes of program delivery were examined. Social cognitive theory provided the conceptual framework for the study. METHODS This study employed mixed methodology (semi-structured interviews and self-report questionnaires). Participants included 73 adults (21 patients, 52 family members) from 23 families (two patients were deceased prior to being interviewed). Most patients (n = 14; 67 %) were interviewed 1-5 years post-diagnosis. Individual interviews were audio-recorded, transcribed, and content analyzed. RESULTS For many, a CRC diagnosis was described as a shared family experience. Family members supported each other's efforts to prevent CRC through screening, exercising, and maintaining a healthy diet. Teachable moments for introducing a family-based program included the time of the patient's initial cancer surgery and post-chemotherapy. Reported willingness to participate in a family-based program was associated with risk perception, self-efficacy, outcome expectancies, and the social/community context in which the program would be embedded. Program preferences included cancer screening, diet/nutrition, weight management, stress reduction, and exercise. Challenges included geographic dispersion, variation in education levels, generational differences, and scheduling. CONCLUSIONS CRC patients and family members are receptive to family-based programs. Feasibility concerns, which may be mitigated but not eliminated with technological advances, must be addressed for successful family-based programs.
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Affiliation(s)
- Carmen Radecki Breitkopf
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA,
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Lana A, Faya-Ornia G, López ML. Impact of a web-based intervention supplemented with text messages to improve cancer prevention behaviors among adolescents: results from a randomized controlled trial. Prev Med 2014; 59:54-9. [PMID: 24287124 DOI: 10.1016/j.ypmed.2013.11.015] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2013] [Revised: 10/27/2013] [Accepted: 11/18/2013] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To assess the impact of a web-based intervention supplemented with text messages to reduce cancer risk linked with smoking, unhealthy diet, alcohol consumption, obesity, sedentary lifestyle and sun exposure. METHODS A total of 2001 voluntary adolescents from Spain and Mexico were recruited between 2009 and 2012 and randomly assigned to: one control group and two experimental groups, which received exclusively the online intervention (experimental group 1) or the intervention supplemented with encouraging text messages (experimental group 2). The educational intervention was based on both: successful psychosocial models (i.e. A.S.E. and Transtheoretical model) and the school curriculum. RESULTS After a 9-month follow-up, the prevalence of students who did not eat fruit was reduced significantly in all groups: experimental group 1 (-62.6%), experimental group 2 (-71.5%) and even the control group (-66.8%). Being overweight was only reduced in the experimental group 2 (-19.6%). The total cancer behavioral risk score, which ranged from 0 to 100 points (highest risk), was significantly reduced in the experimental group 1 (-3.5 points) and in the experimental group 2 (-5.3 points). The text-supplemented online intervention increased the probability of improving the post-test total cancer behavioral risk (OR=1.62). CONCLUSION The web-based intervention supplemented with text messages had a positive global impact, but it lead to only minimal changes in risky behaviors. This intervention appears useful in controlling overweight adolescents. CLINICAL TRIAL REGISTRATION NUMBER ISRCTN27988779.
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Affiliation(s)
- Alberto Lana
- Department of Public Health and Preventive Medicine, School of Medicine and Health Sciences, University of Oviedo, Spain; University Institute of Oncology of Asturias, Spain.
| | - Goretti Faya-Ornia
- Anglo-German and French Philology Department, School of Philosophy and Literature, University of Oviedo, Spain
| | - María Luisa López
- Department of Public Health and Preventive Medicine, School of Medicine and Health Sciences, University of Oviedo, Spain; University Institute of Oncology of Asturias, Spain
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