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Lau Y, Wong SH, Chee DGH, Ng BSP, Ang WW, Han CY, Cheng LJ. Technology-delivered personalized nutrition intervention on dietary outcomes among adults with overweight and obesity: A systematic review, meta-analysis, and meta-regression. Obes Rev 2024; 25:e13699. [PMID: 38296771 DOI: 10.1111/obr.13699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
The prevalence of overweight and obesity has continued to increase globally, and one-size-fits-all dietary recommendations may not be suitable for different individual characteristics. A personalized nutrition intervention may be a potential solution. This review aims to evaluate the effects of the technology-delivered personalized nutrition intervention on energy, fat, vegetable, and fruit intakes among adults with overweight and obesity. A three-step comprehensive search strategy was performed from 10 databases and seven clinical registries in published and unpublished trials. A total of 46 randomized controlled trials (RCTs) involving 19,670 adults with overweight and obesity from 14 countries are included. Subgroup and meta-regression analyses were conducted. Meta-analyses showed a reduction of energy intake (-128.05, 95% CI: -197.08, -59.01) and fat intake (-1.81% energy/days, 95% CI: -3.38, -0.24, and -0.19 scores, 95% CI: -0.40, 0.02) in the intervention compared with the comparator. Significant improvements in vegetable and fruit intakes with 0.12-0.15 servings/day were observed in the intervention. Combined one- and two-way interactions had a greater effect on energy intake reduction compared with their counterparts. Meta-regression analyses revealed that no significant covariates were found. Given that the certainty of the evidence was rated as low or very low, further well-designed RCTs with long-term follow-up are warranted.
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Affiliation(s)
- Ying Lau
- The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | | | - Brenda Sok Peng Ng
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Wei Ang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chad Yixian Han
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Ling Jie Cheng
- Health Systems and Behavioural Science Domain, Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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Mauch CE, Golley RK, Hendrie GA. Variety Predicts Discretionary Food and Beverage Intake of Australian Adults: A Cross-Sectional Analysis of an Online Food Intake Survey. J Acad Nutr Diet 2024; 124:509-520. [PMID: 37499867 DOI: 10.1016/j.jand.2023.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 06/15/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Variety has been used as a strategy for increasing intakes of healthy foods, but has not been well explored with respect to discretionary food/beverages. The diverse sensory properties of these foods suggests that variety could play an important role in total intake. OBJECTIVE This study explored variety as a predictor of intake of discretionary food/beverages, and described the variety of these items consumed by Australian adults. DESIGN Secondary analyses of cross-sectional data from a validated, online survey that assesses participants' dietary intake using frequency and portion-based questions. Discretionary food/beverages are grouped into 11 categories. PARTICIPANTS/SETTING Participants included 235,203 Australian adults, aged 18 years or older, who provided data from May 2015 to November 2020. OUTCOME MEASURES Variety was the number of categories of discretionary food/beverages consumed. Servings were estimated from usual intake questions, and percent contribution summarized by category. Consumption prevalence was the proportion of the sample/subgroup consuming each category. Consumption was calculated as the mean of the sample and per capita in servings. STATISTICAL ANALYSES PERFORMED Descriptive statistics were used to present variety and percent contribution to total intake across the sample and subgroups, and multiple regression was used to examine whether or not variety predicted intake of discretionary food/beverages. RESULTS Participants consumed a median of 8 categories of discretionary food/beverages, with every additional category associated wit h an increase in intake of half a serving of discretionary food/beverages per day (B = 0.48; P < 0.001). Alcohol, cakes and cookies, takeaway, and confectionary collectively contributed around two-thirds of total daily intake of discretionary food/beverages, with alcohol contributing the largest proportion (28.3% of total daily intake). CONCLUSIONS Variety is related to total intake of discretionary food/beverages. Intervention approaches targeting a reduction in variety, as an alternative to a focus on portion size or frequency of intake, would be a novel way of addressing overconsumption of discretionary food/beverages in future research.
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Affiliation(s)
- Chelsea E Mauch
- Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia, Australia
| | - Rebecca K Golley
- College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia
| | - Gilly A Hendrie
- Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia, Australia.
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Ahmann E. Health and Wellness Coaching and Sustained Gains: A Rapid Systematic Review. Am J Lifestyle Med 2024; 18:162-180. [PMID: 38559782 PMCID: PMC10979731 DOI: 10.1177/15598276231180117] [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: 04/04/2024] Open
Abstract
The Transtheoretical Model of Change identifies key stages in behavior change, including a maintenance stage occurring when a behavior has been upheld for at least 6 months. Health and wellness coaching has demonstrated support for health behavior change, but maintenance of gains has received little attention. Our rapid systematic literature review characterizes both the research exploring sustained gains with health and wellness coaching and what is known about sustained gains after the completion of a health and wellness coaching engagement. Guided by The Cochrane Rapid Reviews Methods Group "Interim Guidance," we drew 231 studies from the 2018 and 2020 Sforzo et al "Compendium of the health and wellness coaching literature," and "Addendum…" appendices. Initial screening and coding for inclusion and exclusion criteria yielded 28 studies for data extraction. We examined studies across outcome categories (physiological, behavioral, psychological, and health risk assessment) to determine whether outcome measures were: not sustained; partially sustained; fully sustained; or improved from immediate post-intervention to a later follow-up period. Twenty-five of the 28 studies reviewed demonstrated partially, or fully, sustained or improved outcomes in one or more variables studied, with sustained gains demonstrated across outcome categories, strengthening confidence in HWC as a facilitator of lasting change.
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Affiliation(s)
- Elizabeth Ahmann
- Maryland University of Integrative Health, Laurel, MD, USA & Springer Institute, Cheverly, MD, USA
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Chew HSJ, Rajasegaran NN, Chng S. Effectiveness of interactive technology-assisted interventions on promoting healthy food choices: a scoping review and meta-analysis. Br J Nutr 2023; 130:1250-1259. [PMID: 36693631 DOI: 10.1017/s0007114523000193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Making healthy food choices is crucial for health promotion and disease prevention. While there are an increasing number of technology-assisted interventions to promote healthy food choices, the underlying mechanism by which consumption behaviours and weight status change remains unclear. Our scoping review and meta-analysis of seventeen studies represents 3988 individuals with mean ages ranging from 19·2 to 54·2 years and mean BMI ranging from 24·5 kg/m2 to 35·6 kg/m2. Six main outcomes were identified namely weight, total calories, vegetables, fruits, healthy food, and fats and other food groups including sugar-sweetened beverages, saturated fats, snacks, wholegrains, Na, proteins, fibre, cholesterol, dairy products, carbohydrates, and takeout meals. Technology-assisted interventions were effective for weight loss (g = -0·29; 95 % CI -0·54, -0·04; I2 = 65·7 %, t = -2·83, P = 0·03) but not for promoting healthy food choices. This highlights the complexity in creating effective interactive technology-assisted interventions and understanding its mechanisms of influence and change. We also identified that there needs to be greater application of theory to inform the development of technology-assisted interventions in this area as new and improved interventions are being developed.
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Affiliation(s)
- Han Shi Jocelyn Chew
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nagadarshini Nicole Rajasegaran
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Samuel Chng
- Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore
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Allman-Farinelli M. Digital dietetics and the era of artificial intelligence. Nutr Diet 2023; 80:334-337. [PMID: 37670607 DOI: 10.1111/1747-0080.12841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2023] [Indexed: 09/07/2023]
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Cheng N, Zhao Y, Li X, He X, Wang A. Translation and validation study of the Chinese version of the service user technology acceptability questionnaire. Asia Pac J Oncol Nurs 2023; 10:100239. [PMID: 37288350 PMCID: PMC10242485 DOI: 10.1016/j.apjon.2023.100239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/16/2023] [Indexed: 06/09/2023] Open
Abstract
Objective This study aimed to assess the reliability and validity of the translated Chinese version of the Service User Technology Acceptability Questionnaire (C-SUTAQ). Methods Patients with cancer (n = 554) from a tertiary hospital in China completed the C-SUTAQ. Item analysis, content and construct validity test, internal consistency test, and test-retest reliability analysis were conducted on the instrument to test its applicability. Results The critical ratio of each item of the C-SUTAQ ranged from 11.869 to 29.656; the correlation of each item and subscale ranged from 0.736 to 0.929. The Cronbach's α value for each subscale ranged from 0.659 to 0.941, and the test-retest reliability ranged from 0.859 to 0.966. The content validity index of the scale level and the item level content validity index of the instrument were both 1. Exploratory factor analysis indicated it was reasonable that the C-SUTAQ consists of six subscales after rotation. Confirmatory factor analysis demonstrated good construct validity (χ2/df = 2.459, comparative fit index = 0.922, incremental fit index = 0.907, standardized root mean square residual = 0.060, root-mean-square error of approximation = 0.073, goodness of fit index = 0.875, normed fit index = 0.876. Conclusions The C-SUTAQ had good reliability and validity and may be useful to assess Chinese patients' acceptability of telecare. However, the small sample size limited generalization and there is a need to expand the sample to include persons with other diseases. Further studies are required using the translated questionnaire.
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Affiliation(s)
- Nuo Cheng
- Department of Gynaecology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yue Zhao
- Department of Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xia Li
- Department of Gynaecology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiuying He
- Department of Gynaecology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Aiping Wang
- Department of Public Service, The First Affiliated Hospital of China Medical University, Shenyang, China
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Sforzo GA, Kaye MP, Faber A, Moore M. Dosing of Health and Wellness Coaching for Obesity and Type 2 Diabetes: Research Synthesis to Derive Recommendations. Am J Lifestyle Med 2023; 17:374-385. [PMID: 37304739 PMCID: PMC10248368 DOI: 10.1177/15598276211073078] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2023] Open
Abstract
Health and wellness coaching (HWC) is an effective intervention for lifestyle disease such as obesity and type 2 diabetes. The evolving HWC profession needs recommendations to guide clinical practice, particularly the appropriate dose of coaching. The purpose of this paper was to systematically review and synthesize HWC literature to derive HWC programming recommendations. Of 102 papers retrieved, 88 were retained with data extracted determining HWC session number, frequency, duration, program length, and total coaching load. Differential analysis yielded no statistical difference in programming variables for randomized control trials and other designs, nor for studies with significant findings v. those not finding statistical significance, allowing these data to be pooled. The HWC intervention for obesity was slightly more intense (15 sessions over 7-8 mo) than the diabetes programming (12 sessions over 9-10 mo). On average, HWC programming applied in the peer-reviewed literature was 12-15 sessions of 35-40 min duration over 7-9 months. These recommendations for HWC programming variables are put forth as initial practice guidelines and should be examined with comparative effectiveness study for optimization. HWC best practice guidelines for other patient groups (e.g., heart disease, cancer, and chronic pain) should also be studied once an adequate literature data base is available.
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Affiliation(s)
- Gary A Sforzo
- Department of Exercise Science and Athletic Training, Ithaca College, Ithaca, NY, USA
| | - Miranda P Kaye
- Survey Research Center, Penn State University, University Park, PA, USA
| | - Aubrey Faber
- Department of Psychology, St John's University, Queens, NY, USA
| | - Margaret Moore
- Wellcoaches Corporation, Wellesley, MA, USA
- Institute of Coaching, McLean Hospital, Belmont, MA, USA
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Krishnasamy V, Jayaram KM, Jayaseelan V. Protocol of Randomized Controlled Trial to Evaluate the Effectiveness of Nurse-Led Intervention on Weight Reduction among Adults with Obesity in Urban Areas of Puducherry. Indian J Endocrinol Metab 2023; 27:154-160. [PMID: 37292069 PMCID: PMC10245303 DOI: 10.4103/ijem.ijem_404_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/25/2023] [Accepted: 02/03/2023] [Indexed: 06/10/2023] Open
Abstract
Background A large percentage of non-communicable diseases are preventable through the reduction of behavioral risk factors which is due to physical inactivity and unhealthy diet. Reducing the burden of obesity is likely to make a substantial impact on mitigating the mortality and morbidity due to non-communicable diseases. This study aims to evaluate the effectiveness of a nurse-led intervention on weight reduction among urban adults. Methods This trial is a two-arm parallel group randomized controlled trial comparing the intervention arm-nurse-led intervention (NLI, n = 219) with the control arm-general care (GC, n = 219). Participants randomized to the NLI group will receive the interventional package for 12 months which includes health education and motivational strategies during follow-up. Baseline, 6-month and 12-month follow-ups will be conducted to assess primary and secondary outcomes for both arms using the WHO Steps questionnaire. The analysis will use an intention-to-treat approach to examine the change in behavioral and physical and biochemical parameters. Conclusion The nurse-led intervention aims to provide an evidence-based acceptable and flexible support strategy for weight reduction in obese adults. This will impart healthy life skills to adults and also improve their health status and enable an adult to take charge of their health and this will ultimately prevent or delay non-communicable diseases. Trial Registration Clinical Trials Registry India, CTRI/2021/12/038785. Registered prospectively with CTRI on 21/12/2021.
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Stice E, Rohde P, Butryn ML, Desjardins C, Shaw H. Enhancing Efficacy of a Brief Obesity and Eating Disorder Prevention Program: Long-Term Results from an Experimental Therapeutics Trial. Nutrients 2023; 15:1008. [PMID: 36839366 PMCID: PMC9960991 DOI: 10.3390/nu15041008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/07/2023] [Accepted: 02/15/2023] [Indexed: 02/19/2023] Open
Abstract
Objective: Test whether the efficacy of Project Health, an obesity/eating disorder prevention program, is improved by delivering it in single-sex groups and adding food response inhibition and attention training. Method: High-risk young adults (N = 261; M age = 19.3, 74% female) were randomized to (1) single-sex or (2) mixed-sex groups that completed food response inhibition and attention training or (3) single-sex or (4) mixed-sex groups that completed sham training with nonfood images in a 2 × 2 factorial design. Results: There was a significant sex-composition by training-type by time interaction; participants who completed single- or mixed-sex Project Health groups plus food response and attention training showed significant reductions in body fat over a 2-year follow-up, though this effect was more rapid and persistent in single-sex groups, whereas those who completed single- or mixed-sex Project Health groups plus sham training did not show body fat change. However, there were no differences in overweight/obesity onset over the follow-up. The manipulated factors did not affect eating disorder symptoms or eating disorder onset, but there was a significant reduction in symptoms across the conditions (within-condition d = -0.58), converging with prior evidence that Project Health produced larger reductions in symptoms (within-condition d = -0.48) than educational control participants. Average eating disorder onset over the 2-year follow-up (6.4%) was similar to that observed in Project Health in a past trial (4.5%). Conclusions: Given that Project Health significantly reduced future onset of overweight/obesity in a prior trial and the present trial found that body fat loss effects were significantly greater when implemented in single-sex groups and paired with food response and attention training, there might be value in broadly implementing this combined intervention.
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Affiliation(s)
- Eric Stice
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road Stanford, Stanford, CA 94305, USA
| | - Paul Rohde
- Oregon Research Institute, Springfield, OR 97477, USA
| | - Meghan L. Butryn
- Department of Psychology, Drexel University, Philadelphia, PA 19104, USA
| | | | - Heather Shaw
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road Stanford, Stanford, CA 94305, USA
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Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework. J Med Syst 2022; 46:66. [PMID: 36068371 DOI: 10.1007/s10916-022-01856-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 08/17/2022] [Indexed: 10/14/2022]
Abstract
Mobile Health Interventions (MHIs) have addressed a range of healthcare challenges and have been evaluated using Randomized Controlled Trials (RCTs) to establish clinical effectiveness. Using PRISMA we conducted a systematic literature review of RCTs for MHIs and identified 70 studies which were analyzed and classified using Nickerson-Varshney-Muntermann (NVM) taxonomy. From the resultant iterations of the taxonomy, we extracted insights from the categorized studies. RCTs cover a wide range of health conditions including chronic diseases, general wellness, unhealthy practices, family planning, end-of-life, and post-transplant care. The MHIs that were utilized by the RCTs were varied as well, although most studies did not find significant differences between MHIs and usual care. The challenges for MHI-based RCTs include the use of technologies, delayed outcomes, patient recruitment, patient retention, and complex regulatory requirements. These variances can lead to a higher rate of Type I/Type II errors. Further considerations are the impact of infrastructure, contextual and cultural factors, and reductions in the technological relevancy of the intervention itself. Finally, due to the delayed effect of most outcomes, RCTs of insufficient duration are unable to measure significant, lasting improvements. Using the insights from seventy identified studies, we developed a classification of existing RCTs along with guidelines for MHI-based RCTs and a research framework for future RCTs. The framework offers opportunities for (a) personalization of MHIs, (b) use of richer technologies, and (c) emerging areas for RCTs.
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Chew HSJ, Rajasegaran NN, Chin YH, Chew WSN, Kim KM. Effectiveness of combined health coaching and self-monitoring apps on weight-related outcomes in people with overweight and obesity: A systematic review and meta-analysis (Preprint). J Med Internet Res 2022; 25:e42432. [PMID: 37071452 PMCID: PMC10155083 DOI: 10.2196/42432] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 11/04/2022] [Accepted: 03/09/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Self-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear. OBJECTIVE This study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity. METHODS Relevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1. RESULTS A total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI -3.17 kg to -1.12 kg; P<.001; I2=60.3%), waist circumference by 2.48 cm (95% CI -3.51 cm to -1.44 cm; P<.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI -0.33 mg/dL to 0.11 mg/dL; P=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI -0.21 to -0.02; P=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI -182.67 kcal to -73.94 kcal; P=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss. CONCLUSIONS Combined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app. TRIAL REGISTRATION PROSPERO CRD42022345133; https://tinyurl.com/2zxfdpay.
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Affiliation(s)
- Han Shi Jocelyn Chew
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nagadarshini Nicole Rajasegaran
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - W S Nicholas Chew
- Department of Cardiology, National University Hospital Singapore, Singapore, Singapore
| | - Kyung Mi Kim
- Office of Research, Patient Care Services, Stanford Health Care, Menlo Park, CA, United States
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Harenberg S, Sforzo GA, Edman J. A Rubric to Assess the Design and Intervention Quality of Randomized Controlled Trials in Health and Wellness Coaching. Am J Lifestyle Med 2022. [DOI: 10.1177/15598276221117089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Objective To collect health and wellness coaching (HWC) literature related to treatment of obesity and Type 2 Diabetes (T2D) for systematic assessment using a novel rubric. Data Source Pubmed, CINAHL, and PsychInfo Study Inclusion and Exclusion Given 282 articles retrieved, only randomized and controlled trials meeting a HWC criteria-based definition were included; studies with intervention <4 months or <4 sessions were excluded. Data Extraction Rubric assessment required details of two theoretical frameworks (i.e., study design and HWC intervention design) be extracted from each included paper. Data Synthesis Data were derived from a 28-item rubric querying items such as sampling characteristics, statistical methods, coach characteristics, HWC strategy, and intervention fidelity. Results 29 articles were reviewed. Inter-rater rubric scoring yielded high intraclass correlation (r = .85). Rubric assessment of HWC literature resulted in moderate scores (56.7%), with study design scoring higher than intervention design; within intervention design, T2D studies scored higher than obesity. Conclusions A novel research design rubric is presented and successfully applied to assess HWC research related to treatment of obesity and T2D. Most studies reported beneficial clinical findings; however, rubric results revealed moderate scores for study and intervention design. Implications for future HWC research are discussed.
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Affiliation(s)
- Sebastian Harenberg
- Department of Human Kinetics, St Francis Xavier University, Antigonish, NS, Canada (SH); Exercise & Sport Sciences, Ithaca College, Ithaca, NY, USA (GAS); and Edman Wellness Services, Media, PA, USA (JE)
| | - Gary A. Sforzo
- Department of Human Kinetics, St Francis Xavier University, Antigonish, NS, Canada (SH); Exercise & Sport Sciences, Ithaca College, Ithaca, NY, USA (GAS); and Edman Wellness Services, Media, PA, USA (JE)
| | - Joel Edman
- Department of Human Kinetics, St Francis Xavier University, Antigonish, NS, Canada (SH); Exercise & Sport Sciences, Ithaca College, Ithaca, NY, USA (GAS); and Edman Wellness Services, Media, PA, USA (JE)
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Patnode CD, Redmond N, Iacocca MO, Henninger M. Behavioral Counseling Interventions to Promote a Healthy Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2022; 328:375-388. [PMID: 35881116 DOI: 10.1001/jama.2022.7408] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Unhealthful dietary patterns, low levels of physical activity, and high sedentary time increase the risk of cardiovascular disease. OBJECTIVE To synthesize the evidence on benefits and harms of behavioral counseling interventions to promote a healthy diet and physical activity in adults without known cardiovascular disease (CVD) risk factors to inform a US Preventive Services Task Force recommendation. DATA SOURCES MEDLINE, PsycINFO, and the Cochrane Central Register of Controlled Trials through February 2021, with ongoing surveillance through February 2022. STUDY SELECTION Randomized clinical trials (RCTs) of behavioral counseling interventions targeting improved diet, increased physical activity, or decreased sedentary time among adults without known elevated blood pressure, elevated lipid levels, or impaired fasting glucose. DATA EXTRACTION AND SYNTHESIS Independent data abstraction and study quality rating and random effects meta-analysis. MAIN OUTCOMES AND MEASURES CVD events, CVD risk factors, diet and physical activity measures, and harms. RESULTS One-hundred thirteen RCTs were included (N = 129 993). Three RCTs reported CVD-related outcomes: 1 study (n = 47 179) found no significant differences between groups on any CVD outcome at up to 13.4 years of follow-up; a combined analysis of the other 2 RCTs (n = 1203) found a statistically significant association of the intervention with nonfatal CVD events (hazard ratio, 0.27 [95% CI, 0.08 to 0.88]) and fatal CVD events (hazard ratio, 0.31 [95% CI, 0.11 to 0.93]) at 4 years. Diet and physical activity behavioral counseling interventions were associated with small, statistically significant reductions in continuous measures of blood pressure (systolic mean difference, -0.8 [95% CI, -1.3 to -0.3]; 23 RCTs [n = 57 079]; diastolic mean difference, -0.4 [95% CI, -0.8 to -0.0]; 24 RCTs [n = 57 148]), low-density lipoprotein cholesterol level (mean difference, 2.2 mg/dL [95% CI, -3.8 to -0.6]; 15 RCTs [n = 6350]), adiposity-related outcomes (body mass index mean difference, -0.3 [95% CI, -0.5 to -0.1]; 27 RCTs [n = 59 239]), dietary outcomes, and physical activity at 6 months to 1.5 years of follow-up vs control conditions. There was no evidence of greater harm among intervention vs control groups. CONCLUSIONS AND RELEVANCE Healthy diet and physical activity behavioral counseling interventions for persons without a known risk of CVD were associated with small but statistically significant benefits across a variety of important intermediate health outcomes and small to moderate effects on dietary and physical activity behaviors. There was limited evidence regarding the long-term health outcomes or harmful effects of these interventions.
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Affiliation(s)
- Carrie D Patnode
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Nadia Redmond
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Megan O Iacocca
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Michelle Henninger
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
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Gosliner W, Felix C, Strochlic R, Wright S, Yates-Berg A, Thompson HR, Tang H, Melendrez B. Feasibility and response to the San Diego County, California, Supplemental Nutrition Assistance Program (SNAP) agency sending food and nutrition text messages to all participants: A web-based survey pilot study (Preprint). J Med Internet Res 2022; 25:e41021. [PMID: 37074786 PMCID: PMC10157452 DOI: 10.2196/41021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 02/02/2023] [Accepted: 03/15/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND The Supplemental Nutrition Assistance Program (SNAP) provides over 40 million Americans with money for food without typically providing participants with food or nutrition information. Educational SMS text messages can reach large numbers of people, and studies suggest SNAP participants appreciate nutrition education and have access to mobile phones. OBJECTIVE Using a pre-post intervention design, we assessed the feasibility of, and program satisfaction and outcomes resulting from, the San Diego County, California SNAP agency sending monthly food and nutrition education SMS text messages to all SNAP participants to increase fruit and vegetable purchasing and consumption. METHODS We developed and sent 5 behavioral science-informed SMS text messages with links to a project website in English and Spanish with information about selecting, storing, and preparing seasonal fruits and vegetables. The San Diego County SNAP agency sent monthly texts to ~170,000 SNAP households from October 2020 to February 2021. SNAP participants completed web-based surveys in response to a text invitation from the SNAP agency in September 2020 (baseline, n=12,036) and April 2021 (follow-up, n=4927). Descriptive frequencies were generated, and adjusted multiple linear mixed models were run on a matched data set of participants that completed both baseline and follow-up surveys (n=875) assessing pre- or postattitudes, behaviors, knowledge, and self-efficacy. We used adjusted logistic regression models to assess differences between the matched (n=875) and nonmatched (n=4052) participants related to experiences with the intervention (questions asked only at follow-up). RESULTS After the intervention, matched participants reported significant increase in knowing where to get information about selecting, storing, and preparing fruits and vegetables (3.76 vs 4.02 on a 5-point Likert scale with 5=strongly agree, P<.001); feeling good about participating in SNAP (4.35 vs 4.43, P=.03); and thinking the CalFresh program helps them eat healthy (4.38 vs 4.48, P=.006). No significant pre- or postdifferences were found in fruit or vegetable consumption, though most participants at follow-up (n=1556, 64%) reported their consumption had increased. Among the sample that completed the follow-up survey only (n=4052, not including 875 participants who completed follow-up and baseline), 1583 (65%) and 1556 (64%) reported purchasing and eating more California-grown fruits and vegetables, respectively. Nearly all respondents appreciated the intervention (n=2203, 90%) and wanted it to continue (n=2037, 83%). CONCLUSIONS SNAP can feasibly provide food and nutrition messages via text to participants. A monthly text campaign was well received by responding participants and improved some measures of their self-reported knowledge, self-efficacy, produce consumption, and perceptions of SNAP participation. Participants expressed interest in continuing to receive texts. While educational messages will not solve the complex food and nutrition challenges confronting SNAP participants, further work should employ rigorous methods to expand and test this intervention in other SNAP programs before considering to implement it at scale.
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Affiliation(s)
- Wendi Gosliner
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, United States
| | - Celeste Felix
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, United States
| | - Ron Strochlic
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, United States
| | - Shana Wright
- Center for Community Health, Altman Clinical and Translational Research Institute, University of California San Diego, San Diego, CA, United States
| | | | - Hannah R Thompson
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, United States
| | - Hao Tang
- Health and Behavior Studies, Teachers College, Columbia University, New York, NY, United States
| | - Blanca Melendrez
- Center for Community Health, Altman Clinical and Translational Research Institute, University of California San Diego, San Diego, CA, United States
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Can Digital Health Solutions Fill in the Gap for Effective Guideline Implementation in Cardiovascular Disease Prevention: Hope or Hype? Curr Atheroscler Rep 2022; 24:747-754. [PMID: 35761153 DOI: 10.1007/s11883-022-01050-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW To evaluate the use of digital health solutions in improving the implementation of cardiovascular disease (CVD) prevention guidelines and review current evidence supporting it. RECENT FINDINGS Healthy diet guideline recommendations can be improved by text-messaging programs and apps for reinforcing healthy food intake and reducing unhealthy nutrients purchase and consumption. Wearable activity trackers are also effective in increasing physical activity levels. Text-messaging programs for smoking cessation have demonstrated benefits in increasing quitting rates; however, evidence on smartphone apps for smoking cessation is still lacking. Smartphone apps have the potential to improve medication adherence; however, better quality evidence is needed. Digital pills are another promising digital solution to improve medication adherence. The use of digital health solutions in CVD prevention is an evolving field and, to date, there is an increasing body of evidence that supports that such technologies are effective in improving CVD prevention guideline implementation.
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Nitschke E, Gottesman K, Hamlett P, Mattar L, Robinson J, Tovar A, Rozga M. Impact of Nutrition and Physical Activity Interventions Provided by Nutrition and Exercise Practitioners for the Adult General Population: A Systematic Review and Meta-Analysis. Nutrients 2022; 14:nu14091729. [PMID: 35565696 PMCID: PMC9103154 DOI: 10.3390/nu14091729] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/15/2022] [Accepted: 04/18/2022] [Indexed: 12/18/2022] Open
Abstract
Healthy dietary intake and physical activity reduce the risk of non-communicable diseases. This systematic review and meta-analysis aimed to examine the effect of interventions including both nutrition and physical activity provided by nutrition and exercise practitioners for adults in the general population (those without diagnosed disease). The MEDLINE, CINAHL, Cochrane Central, Cochrane Database of Systematic Reviews and SportDiscus databases were searched for randomized controlled trials (RCTs) published from 2010 until April 2021. Outcomes included physical activity, fruit and vegetable intake, waist circumference, percent weight loss, quality of life (QoL) and adverse events. Grading of Recommendations Assessment, Development and Evaluation (GRADE) methods were used to synthesize and grade evidence. Meta-analyses were stratified according to participant health status. The database search identified 11,205 articles, and 31 RCTs were included. Interventions increased physical activity amount [standardized mean difference (SMD) (95% CI): 0.25 (0.08, 0.43)] (low certainty evidence); increased vegetable intake [SMD (95% CI): 0.14 (0.05, 0.23)] (moderate certainty evidence); reduced waist circumference [MD (95% CI): −2.16 cm (−2.96, −1.36)] (high certainty evidence); and increased likelihood of achieving 5% weight loss for adults with overweight and obesity [relative risk (95% CI): 2.37 (1.76, 3.19)] (high certainty evidence). Very low and low certainty evidence described little-to-no effect on QoL or adverse events. Nutrition and exercise practitioners play key roles in facilitating positive lifestyle behaviors to reduce cardiometabolic disease risk in adults.
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Affiliation(s)
- Erin Nitschke
- Department of Exercise Science, Laramie County Community College, 1400 E College Drive, Cheyenne, WY 82007, USA;
| | - Kimberly Gottesman
- Department of Kinesiology, Nutrition and Food Science, California State University Los Angeles, 5151 South University Drive, Los Angeles, CA 90032, USA;
| | - Peggy Hamlett
- Department of Movement Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA;
| | - Lama Mattar
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut 10150, Lebanon;
| | - Justin Robinson
- Kinesiology Department, Point Loma Nazarene University, 3900 Lomaland Dr, San Diego, CA 92106, USA;
| | - Ashley Tovar
- Gilead Sciences, 333 Lakeside Dr, Foster City, CA 94404, USA;
| | - Mary Rozga
- Evidence Analysis Center, Academy of Nutrition and Dietetics, 120 S Riverside Plaza, Suite 2190, Chicago, IL 60606, USA
- Correspondence: ; Tel.: +1-(312)-899-1758
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Salman M, Bettany‐Saltikov J, Kandasamy G, Whittaker V, Hogg J, Racero GA. PROTOCOL: The effect of education programmes for improving knowledge of back health, ergonomics and postural behaviour in university students: A systematic review. CAMPBELL SYSTEMATIC REVIEWS 2022; 18:e1213. [PMID: 36908660 PMCID: PMC8732980 DOI: 10.1002/cl2.1213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
This is the protocol for a Campbell review. The objectives are as follows: To investigate the evidence on the effectiveness of education programmes in improving the knowledge of back health, ergonomics and postural behaviour in University students.
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Affiliation(s)
- Mona Salman
- Centre for Public Health, School of Health and Life Sciences (SHLS), Nursing & MidwiferyTeesside UniversityMiddlesbroughUK
| | - Josette Bettany‐Saltikov
- Centre for Rehabilitation, School of Health and Life Sciences (SHLS), Allied Health ProfessionsTeesside UniversityMiddlesbroughUK
| | - Gokulakannan Kandasamy
- Centre for Rehabilitation, School of Health and Life Sciences (SHLS), Allied Health ProfessionsTeesside UniversityMiddlesbroughUK
| | - Vicki Whittaker
- Centre for Public Health, School of Health and Life Sciences (SHLS), Nursing & MidwiferyTeesside UniversityMiddlesbroughUK
| | - Julie Hogg
- Student Life Support (SLS)Teesside UniversityMiddlesbroughUK
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The association of social and food preparation location context with the quality of meals and snacks consumed by young adults: findings from the MYMeals wearable camera study. Eur J Nutr 2022; 61:3407-3422. [PMID: 35523897 PMCID: PMC9464156 DOI: 10.1007/s00394-022-02891-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 04/07/2022] [Indexed: 12/19/2022]
Abstract
PURPOSE This study examined the association of social contexts and food preparation location with the quality of meals and snacks (predominately from the five food groups (FFG) versus discretionary foods) in a sample of young Australian adults (18-30 years old) using wearable camera technology. METHODS A sub-sample from the cross-sectional MYMeals study wore a wearable camera that captured images every 30 s for three consecutive days. Eating episodes from 133 participants (55% female) were classified across 4 domains: food quality (observed proportion of FFG and discretionary items), preparation location, social interaction, and screen use. Socio-economic status (SES) was assigned using residential postcode and gender self-reported. Associations of contexts and demographic factors with food quality stratified by meal type were determined using mixed binary logistic regression models. RESULTS Of the 1840 eating episodes identified, 1775 were included in analysis (n = 8 preparation location and n = 57 food components that could not be identified were excluded). Food prepared at home was more likely to be from the FFG at lunch (OR = 4.8 95% CI 2.7-8.6), dinner (OR = 14.8 95% CI 7.6-28.6), and snacks (OR = 3.2 95% CI 2.2-4.8). Participants from higher SES areas were more likely to consume breakfasts (OR = 3.2 95% CI 1.4-7.4) and lunches (OR = 1.9 95% CI 1.0-3.7) predominately from the FFG. Females were more likely to consume lunches (OR = 2.0 95% CI 1.1-3.8) that was largely from the FFG. Social interaction and screen use were not associated with meal or snack quality. CONCLUSION Wearable cameras have verified the importance of addressing meals and snacks prepared outside of home as an important contributor of discretionary food.
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Grout L, Telfer K, Wilson N, Cleghorn C, Mizdrak A. Prescribing Smartphone Apps for Physical Activity Promotion in Primary Care: Modeling Study of Health Gain and Cost Savings. J Med Internet Res 2021; 23:e31702. [PMID: 34931993 PMCID: PMC8726034 DOI: 10.2196/31702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/04/2021] [Accepted: 10/29/2021] [Indexed: 11/17/2022] Open
Abstract
Background Inadequate physical activity is a substantial cause of health loss worldwide, and this loss is attributable to diseases such as coronary heart disease, diabetes, stroke, and certain forms of cancer. Objective This study aims to assess the potential impact of the prescription of smartphone apps in primary care settings on physical activity levels, health gains (in quality-adjusted life years [QALYs]), and health system costs in New Zealand (NZ). Methods A proportional multistate lifetable model was used to estimate the change in physical activity levels and predict the resultant health gains in QALYs and health system costs over the remaining life span of the NZ population alive in 2011 at a 3% discount rate. Results The modeled intervention resulted in an estimated 430 QALYs gained (95% uncertainty interval 320-550), with net cost savings of 2011 NZ $2.2 million (2011 US $1.5 million) over the remaining life span of the 2011 NZ population. On a per capita basis, QALY gains were generally larger in women than in men and larger in Māori than in non-Māori. The health impact and cost-effectiveness of the intervention were highly sensitive to assumptions on intervention uptake and decay. For example, the scenario analysis with the largest benefits, which assumed a 5-year maintenance of additional physical activity levels, delivered 1750 QALYs and 2011 NZ $22.5 million (2011 US $15.1 million) in cost savings. Conclusions The prescription of smartphone apps for promoting physical activity in primary care settings is likely to generate modest health gains and cost savings at the population level in this high-income country. Such gains may increase with ongoing improvements in app design and increased health worker promotion of the apps to patients.
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Affiliation(s)
- Leah Grout
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand
| | - Kendra Telfer
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand
| | - Nick Wilson
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand
| | - Christine Cleghorn
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand
| | - Anja Mizdrak
- Burden of Disease Epidemiology, Equity and Cost-Effectiveness Program, University of Otago Wellington, Wellington, New Zealand
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YOSHIMURA EIICHI, Tajiri E, Michiwaki R, Matsumoto N, Hatamoto Y, Tanaka S. Long-term effects of the use of a step count-specific smartphone application on physical activity and weight loss: a randomized clinical trial (Preprint). JMIR Mhealth Uhealth 2021; 10:e35628. [DOI: 10.2196/35628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 05/31/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
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Thorndike AN, McCurley JL, Gelsomin ED, Anderson E, Chang Y, Porneala B, Johnson C, Rimm EB, Levy DE. Automated Behavioral Workplace Intervention to Prevent Weight Gain and Improve Diet: The ChooseWell 365 Randomized Clinical Trial. JAMA Netw Open 2021; 4:e2112528. [PMID: 34097048 PMCID: PMC8185595 DOI: 10.1001/jamanetworkopen.2021.12528] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
IMPORTANCE Personalized interventions that leverage workplace data and environments could improve effectiveness, sustainability, and scalability of employee wellness programs. OBJECTIVE To test an automated behavioral intervention to prevent weight gain and improve diet using employee cafeteria purchasing data. DESIGN, SETTING, AND PARTICIPANTS This individual-level randomized clinical trial of a 12-month intervention with 12 months of follow-up was conducted among employees of a hospital in Boston, Massachusetts, who purchased food at on-site cafeterias that used traffic-light labels (ie, green indicates healthy; yellow, less healthy; red, unhealthy). Participants were enrolled September 2016 to February 2018. Data were analyzed from May to September 2020. INTERVENTIONS For 12 months, participants in the intervention group received 2 emails per week with feedback on previous cafeteria purchases and personalized health and lifestyle tips and 1 letter per month with peer comparisons and financial incentives for healthier purchases. Emails and letters were automatically generated using survey, health, and cafeteria data. Control group participants received 1 letter per month with general healthy lifestyle information. MAIN OUTCOMES AND MEASURES The main outcome was change in weight from baseline to 12 months and 24 months of follow-up. Secondary outcomes included changes in cafeteria purchases, including proportion of green- and red-labeled purchases and calories purchased per day, from baseline (12 months preintervention) to the intervention (months 1-12) and follow-up (months 13-24) periods. Baseline Healthy Eating Index-15 (HEI-15) scores were compared to HEI-15 scores at 6, 12, and 24 months. RESULTS Among 602 employees enrolled (mean [SD] age, 43.6 [12.2] years; 478 [79.4%] women), 299 were randomized to the intervention group and 303 were randomized to the control group. Baseline mean (SD) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) was 28.3 (6.6) and HEI-15 score was 60.4 (12.4). There were no between-group differences in weight change at 12 (0.2 [95% CI, -0.6 to 1.0] kg) or 24 (0.6 [95% CI, -0.3 to 1.4] kg) months. Compared with baseline, the intervention group increased green-labeled purchases by 7.3% (95% CI, 5.4% to 9.3%) and decreased red-labeled purchases by 3.9% (95% CI, -5.0% to -2.7%) and calories purchased per day by 49.5 (95% CI, -75.2 to -23.9) kcal more than the control group during the intervention period. In the intervention group, differences in changes in green (4.8% [95% CI, 2.9% to 6.8%]) and red purchases (-3.1% [95% CI, -4.3% to -2.0%]) were sustained at the 24-month follow-up. Differences in changes in HEI-15 scores were not significantly different in the intervention compared with the control group at 6 (2.2 [95% CI, 0 to 4.4]), 12 (1.8 [95% CI, -0.6 to 4.1]), and 24 (1.6, 95% CI, -0.7 to 3.8]) months. CONCLUSIONS AND RELEVANCE The findings of this randomized clinical trial suggest that an automated behavioral intervention using workplace cafeteria data improved employees' food choices but did not prevent weight gain over 2 years. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02660086.
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Affiliation(s)
- Anne N. Thorndike
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Jessica L. McCurley
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | - Emily D. Gelsomin
- Department of Nutrition and Food Services, Massachusetts General Hospital, Boston
| | - Emma Anderson
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | - Yuchiao Chang
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | | | - Eric B. Rimm
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Douglas E. Levy
- Harvard Medical School, Boston, Massachusetts
- Mongan Institute Health Policy Center, Massachusetts General Hospital, Boston
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Petkovic J, Duench S, Trawin J, Dewidar O, Pardo Pardo J, Simeon R, DesMeules M, Gagnon D, Hatcher Roberts J, Hossain A, Pottie K, Rader T, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database Syst Rev 2021; 5:CD012932. [PMID: 34057201 PMCID: PMC8406980 DOI: 10.1002/14651858.cd012932.pub2] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Social networking platforms offer a wide reach for public health interventions allowing communication with broad audiences using tools that are generally free and straightforward to use and may be combined with other components, such as public health policies. We define interactive social media as activities, practices, or behaviours among communities of people who have gathered online to interactively share information, knowledge, and opinions. OBJECTIVES We aimed to assess the effectiveness of interactive social media interventions, in which adults are able to communicate directly with each other, on changing health behaviours, body functions, psychological health, well-being, and adverse effects. Our secondary objective was to assess the effects of these interventions on the health of populations who experience health inequity as defined by PROGRESS-Plus. We assessed whether there is evidence about PROGRESS-Plus populations being included in studies and whether results are analysed across any of these characteristics. SEARCH METHODS We searched CENTRAL, CINAHL, Embase, MEDLINE (including trial registries) and PsycINFO. We used Google, Web of Science, and relevant web sites to identify additional studies and searched reference lists of included studies. We searched for published and unpublished studies from 2001 until June 1, 2020. We did not limit results by language. SELECTION CRITERIA We included randomised controlled trials (RCTs), controlled before-and-after (CBAs) and interrupted time series studies (ITSs). We included studies in which the intervention website, app, or social media platform described a goal of changing a health behaviour, or included a behaviour change technique. The social media intervention had to be delivered to adults via a commonly-used social media platform or one that mimicked a commonly-used platform. We included studies comparing an interactive social media intervention alone or as a component of a multi-component intervention with either a non-interactive social media control or an active but less-interactive social media comparator (e.g. a moderated versus an unmoderated discussion group). Our main outcomes were health behaviours (e.g. physical activity), body function outcomes (e.g. blood glucose), psychological health outcomes (e.g. depression), well-being, and adverse events. Our secondary outcomes were process outcomes important for behaviour change and included knowledge, attitudes, intention and motivation, perceived susceptibility, self-efficacy, and social support. DATA COLLECTION AND ANALYSIS We used a pre-tested data extraction form and collected data independently, in duplicate. Because we aimed to assess broad outcomes, we extracted only one outcome per main and secondary outcome categories prioritised by those that were the primary outcome as reported by the study authors, used in a sample size calculation, and patient-important. MAIN RESULTS We included 88 studies (871,378 participants), of which 84 were RCTs, three were CBAs and one was an ITS. The majority of the studies were conducted in the USA (54%). In total, 86% were conducted in high-income countries and the remaining 14% in upper middle-income countries. The most commonly used social media platform was Facebook (39%) with few studies utilising other platforms such as WeChat, Twitter, WhatsApp, and Google Hangouts. Many studies (48%) used web-based communities or apps that mimic functions of these well-known social media platforms. We compared studies assessing interactive social media interventions with non-interactive social media interventions, which included paper-based or in-person interventions or no intervention. We only reported the RCT results in our 'Summary of findings' table. We found a range of effects on health behaviours, such as breastfeeding, condom use, diet quality, medication adherence, medical screening and testing, physical activity, tobacco use, and vaccination. For example, these interventions may increase physical activity and medical screening tests but there was little to no effect for other health behaviours, such as improved diet or reduced tobacco use (20,139 participants in 54 RCTs). For body function outcomes, interactive social media interventions may result in small but important positive effects, such as a small but important positive effect on weight loss and a small but important reduction in resting heart rate (4521 participants in 30 RCTs). Interactive social media may improve overall well-being (standardised mean difference (SMD) 0.46, 95% confidence interval (CI) 0.14 to 0.79, moderate effect, low-certainty evidence) demonstrated by an increase of 3.77 points on a general well-being scale (from 1.15 to 6.48 points higher) where scores range from 14 to 70 (3792 participants in 16 studies). We found no difference in effect on psychological outcomes (depression and distress) representing a difference of 0.1 points on a standard scale in which scores range from 0 to 63 points (SMD -0.01, 95% CI -0.14 to 0.12, low-certainty evidence, 2070 participants in 12 RCTs). We also compared studies assessing interactive social media interventions with those with an active but less interactive social media control (11 studies). Four RCTs (1523 participants) that reported on physical activity found an improvement demonstrated by an increase of 28 minutes of moderate-to-vigorous physical activity per week (from 10 to 47 minutes more, SMD 0.35, 95% CI 0.12 to 0.59, small effect, very low-certainty evidence). Two studies found little to no difference in well-being for those in the intervention and control groups (SMD 0.02, 95% CI -0.08 to 0.13, small effect, low-certainty evidence), demonstrated by a mean change of 0.4 points on a scale with a range of 0 to 100. Adverse events related to the social media component of the interventions, such as privacy issues, were not reported in any of our included studies. We were unable to conduct planned subgroup analyses related to health equity as only four studies reported relevant data. AUTHORS' CONCLUSIONS This review combined data for a variety of outcomes and found that social media interventions that aim to increase physical activity may be effective and social media interventions may improve well-being. While we assessed many other outcomes, there were too few studies to compare or, where there were studies, the evidence was uncertain. None of our included studies reported adverse effects related to the social media component of the intervention. Future studies should assess adverse events related to the interactive social media component and should report on population characteristics to increase our understanding of the potential effect of these interventions on reducing health inequities.
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Affiliation(s)
| | | | | | - Omar Dewidar
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Jordi Pardo Pardo
- Ottawa Hospital Research Institute, The Ottawa Hospital - General Campus, Ottawa, Canada
| | - Rosiane Simeon
- Bruyère Research Institute, University of Ottawa, Ottawa, Canada
| | - Marie DesMeules
- Social Determinants and Science Integration/ Direction des déterminants sociaux et de l'intégration scientifique, Public Health Agency of Canada/Agence de santé publique du Canada, Ottawa, Canada
| | - Diane Gagnon
- Department of Communication, University of Ottawa, Ottawa, Canada
| | | | - Alomgir Hossain
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, Canada
| | - Kevin Pottie
- Family Medicine, University of Ottawa, Ottawa, Canada
| | - Tamara Rader
- Canadian Agency for Drugs and Technologies in Health (CADTH), Ottawa, Canada
| | - Peter Tugwell
- Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Justin Presseau
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Vivian Welch
- Methods Centre, Bruyère Research Institute, Ottawa, Canada
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Nutrition and physical activity interventions for the general population with and without cardiometabolic risk: a scoping review. Public Health Nutr 2021; 24:4718-4736. [PMID: 34030758 DOI: 10.1017/s1368980021002184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The objective of this scoping review was to examine the research question: In the adults with or without cardiometabolic risk, what is the availability of literature examining interventions to improve or maintain nutrition and physical activity-related outcomes? Sub-topics included: (1) behaviour counseling or coaching from a dietitian/nutritionist or exercise practitioner, (2) mobile applications to improve nutrition and physical activity and (3) nutritional ergogenic aids. DESIGN The current study is a scoping review. A literature search of the Medline Complete, CINAHL Complete, Cochrane Database of Systematic Reviews and other databases was conducted to identify articles published in the English language from January 2005 until May 2020. Data were synthesised using bubble charts and heat maps. SETTING Out-patient, community and workplace. PARTICIPANTS Adults with or without cardiometabolic risk factors living in economically developed countries. RESULTS Searches resulted in 19 474 unique articles and 170 articles were included in this scoping review, including one guideline, thirty systematic reviews (SR), 134 randomised controlled trials and five non-randomised trials. Mobile applications (n 37) as well as ergogenic aids (n 87) have been addressed in several recent studies, including SR. While primary research has examined the effect of individual-level nutrition and physical activity counseling or coaching from a dietitian/nutritionist and/or exercise practitioner (n 48), interventions provided by these practitioners have not been recently synthesised in SR. CONCLUSION SR of behaviour counseling or coaching provided by a dietitian/nutritionist and/or exercise practitioner are needed and can inform practice for practitioners working with individuals who are healthy or have cardiometabolic risk.
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Robert C, Erdt M, Lee J, Cao Y, Naharudin NB, Theng YL. Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis. J Med Internet Res 2021; 23:e15649. [PMID: 33999005 PMCID: PMC8167617 DOI: 10.2196/15649] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 03/28/2020] [Accepted: 04/12/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The risk of development of chronic diseases related to poor nutrition increases with age. In the face of an aging population, it is important for health care sectors to find solutions in delivering health services efficiently and effectively to middle-aged and older adults. OBJECTIVE The aim of this systematic review and meta-analysis was to consolidate the literature that reported the effectiveness of eHealth apps in delivering nutritional interventions for middle-aged and older adults. METHODS A literature search from five databases (PubMed, CINAHL, Cochrane, Web of Science, and Global Health) from the past 5 years was performed. Studies were selected for inclusion that used eHealth to deliver nutritional interventions to adults aged 40 years and above, and reported health and behavioral outcomes. Two independent reviewers searched for research articles and assessed the eligibility of studies to be included in the review. A third reviewer resolved disagreements on study inclusion. We also assessed the quality of the included studies using the CONSORT 2010 checklist. RESULTS A total of 70 studies were included for analysis. The study quality ranged from 44% to 85%. The most commonly used eHealth intervention type was mobile apps (22/70, 31%). The majority of studies (62/70, 89%) provided multicomponent health interventions, which aimed to improve nutrition and other health behaviors (eg, exercise, smoking cessation, medication adherence). Meta-analysis results indicated high and significant heterogeneity; hence, conclusions based on these results should be considered with caution. Nonetheless, the results generally showed that eHealth interventions improved anthropometric and clinical outcomes, but not behavioral outcomes such as fruit and vegetable consumption. CONCLUSIONS The use of eHealth apps to deliver health interventions has been increasing in recent years, and these apps have the potential to deliver health services to a larger group of people. Our findings showed that the effectiveness of eHealth apps to deliver health interventions for middle-aged to older adults was supported by the improvement of anthropometric and clinical outcomes. Future work could aim to develop research frameworks in administering eHealth interventions to address heterogeneity in this field of research.
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Affiliation(s)
- Caroline Robert
- Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
| | - Mojisola Erdt
- Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
- Institute for Infocomm Research, A*STAR, Singapore, Singapore
| | - James Lee
- Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
| | - Yuanyuan Cao
- Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
| | - Nurhazimah Binte Naharudin
- Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
- Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design, Singapore, Singapore
| | - Yin-Leng Theng
- Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore
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Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature. Public Health Nutr 2021; 24:5686-5703. [PMID: 33722332 DOI: 10.1017/s1368980021001129] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To describe strategies used to recruit and retain young adults in nutrition, physical activity and/or obesity intervention studies, and quantify the success and efficiency of these strategies. DESIGN A systematic review was conducted. The search included six electronic databases to identify randomised controlled trials (RCT) published up to 6 December 2019 that evaluated nutrition, physical activity and/or obesity interventions in young adults (17-35 years). Recruitment was considered successful if the pre-determined sample size goal was met. Retention was considered acceptable if ≥80 % retained for ≤6-month follow-up or ≥70 % for >6-month follow-up. RESULTS From 21 582 manuscripts identified, 107 RCT were included. Universities were the most common recruitment setting used in eighty-four studies (79 %). Less than half (46 %) of the studies provided sufficient information to evaluate whether individual recruitment strategies met sample size goals, with 77 % successfully achieving recruitment targets. Reporting for retention was slightly better with 69 % of studies providing sufficient information to determine whether individual retention strategies achieved adequate retention rates. Of these, 65 % had adequate retention. CONCLUSIONS This review highlights poor reporting of recruitment and retention information across trials. Findings may not be applicable outside a university setting. Guidance on how to improve reporting practices to optimise recruitment and retention strategies within young adults could assist researchers in improving outcomes.
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Whatnall MC, Sharkey T, Hutchesson MJ, Haslam RL, Bezzina A, Collins CE, Ashton LM. Effectiveness of interventions and behaviour change techniques for improving physical activity in young adults: A systematic review and meta-analysis. J Sports Sci 2021; 39:1754-1771. [PMID: 33685357 DOI: 10.1080/02640414.2021.1898107] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Physical activity (PA) participation declines from adolescence to young adulthood. This review evaluates the effectiveness of interventions aiming to improve PA among healthy young adults (17-35 years), and the effectiveness of the behaviour change techniques (BCTs) used. Six electronic databases were searched up to December 2019, for randomized controlled trials aiming to achieve PA behaviour change among young adults. In total, 66 RCTs were included. Meta-analyses for moderate-vigorous PA (n = 11 studies), steps (n = 5 studies) and total PA (MET min/week, n = 11 studies) identified that intervention participants compared with control significantly increased PA at time points up to 3 months and >3 months. Narrative synthesis identified that 34 RCTs (52%) reported significant between group differences favouring the intervention for one or more PA outcome. BCTs with the highest effectiveness were material reward, valued self-identity and habit formation. However, the overall test of significance demonstrated no significant relationship between type or number of BCTs and effectiveness. This review identified interventions that improve steps, moderate-vigorous and total PA in young adults in the shorter-term, and BCTs associated with greater effectiveness. Further research is needed to determine strategies to achieve longer-term effectiveness of PA interventions in young adults.
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Affiliation(s)
- Megan C Whatnall
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Thomas Sharkey
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Melinda J Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Rebecca L Haslam
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Aaron Bezzina
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Lee M Ashton
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
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Weight Management Interventions for Adults With Overweight or Obesity: An Evidence Analysis Center Scoping Review. J Acad Nutr Diet 2020; 121:1855-1865. [PMID: 33069660 DOI: 10.1016/j.jand.2020.07.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/30/2020] [Accepted: 07/21/2020] [Indexed: 12/26/2022]
Abstract
The objectives of this evidence scoping review were to identify and characterize studies investigating weight management interventions provided by a registered dietitian nutritionist or international equivalent (RDN) among adults with overweight or obesity. A medical librarian conducted an electronic literature search in 6 databases-MEDLINE (Ovid), Embase (Ovid), PyscINFO (Ovid), Cochrane CENTRAL (Ovid), Cochrane Database of Systematic Reviews (Ovid), and CINAHL (Ebsco). Except for narrative review, gray literature, and case study or report, all types of peer-reviewed articles published between January 2008 and April 26, 2019 were eligible. Two content advisors, who are experts in adult weight management, guided the process and reviewed the search plan and findings. The literature search resulted in 30,551 records with 16 additional records identified through other sources. A total of 29,756 records were excluded during the first round of screening due to duplication or irrelevancy. Of the 811 full-text articles that were screened, 139 met the criteria and were included. Approximately 51% and 43% of the studies were conducted in the community setting and in the United States or Canada, respectively. Over 97% of the studies were clinical or quasi-experimental trials. A total of 6 different intervention delivery modes were reported, which resulted in 22 combinations of the modes of delivery. RDNs delivered the weight management intervention (especially the nutrition component) in all studies, but some (61%) also involved an interdisciplinary team to deliver other components of the intervention. The average length of the intervention was about 10 months with a follow-up that ranged from 0 to 9 years. The commonly reported outcomes were anthropometrics, endocrine, and cardiovascular measures; dietary intake; and physical activity. Based on the scoping review, there were systematic reviews and evidence-based practice guidelines on weight management interventions but none of them met the a priori inclusion or exclusion criteria. Therefore, it would be beneficial to conduct a systematic review and develop an evidence-based practice guideline on adult weight management interventions provided by an RDN to guide practitioners and to evaluate their effects on health and nutrition-related outcomes.
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28
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Lianov L. Getting from Here to There: Motivational Interviewing and Other Techniques to Promote Healthy Aging. Clin Geriatr Med 2020; 36:719-732. [PMID: 33010906 DOI: 10.1016/j.cger.2020.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Successful health behavior change relies on the autonomy of the individual who is driven toward personally meaningful, positive goals. The medical practitioner and health care team can use several techniques to facilitate such change effectively, including motivational interviewing, cognitive behavioral restructuring, appreciative inquiry, and positive psychology techniques. Older adults can be supported to make change, and may have greater capacity to maintain those changes due to increased levels of conscientiousness. Positive psychology approaches may be effective in older adults, due to evidence that, as individuals age, they tend to prioritize activities that bring them satisfaction and emotional well-being.
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Sharkey T, Whatnall MC, Hutchesson MJ, Haslam RL, Bezzina A, Collins CE, Ashton LM. Effectiveness of gender-targeted versus gender-neutral interventions aimed at improving dietary intake, physical activity and/or overweight/obesity in young adults (aged 17-35 years): a systematic review and meta-analysis. Nutr J 2020; 19:78. [PMID: 32731865 PMCID: PMC7393713 DOI: 10.1186/s12937-020-00594-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 07/23/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Young adulthood has become synonymous with the development of poor lifestyle behaviours associated with an increased risk of preventable chronic disease in later years. Interventions aiming to improve health behaviours may be more engaging and effective if they are targeted to males or females than interventions with a gender-neutral approach. This review will examine the outcome effectiveness of gender-targeted and gender-neutral interventions targeting nutrition, physical activity or overweight/obesity in young adults (17-35 years). METHODS Six electronic databases were searched for randomised controlled trials (RCTs) published up to December 2019 that evaluated nutrition, physical activity and/or overweight/obesity interventions in young adults (17-35 years). An effective intervention was one where the change in one or more primary outcome was positive and statistically significantly different from baseline, compared with control, or if no control comparator, compared with another active intervention. Effectiveness of outcomes was compared between gender-targeted and gender-neutral studies. RESULTS In total 21,582 manuscripts were identified and 107 RCTs were included; 30 gender-targeted studies (28%) and 77 gender-neutral (72%). Most gender-targeted studies were female targeted (n = 22, 73%). Primary outcome/s were adiposity (n = 36, 34%), nutrition (n = 29, 27%), physical activity (n = 28, 26%), or a combination of (n = 14, 14%). A greater proportion of gender-targeted than gender-neutral studies were effective in improving nutrition (n = 6, 100% and n = 17, 74% of studies respectively) and physical activity outcomes (n = 6, 86% and n = 14, 67% respectively), where as a greater proportion of gender-neutral studies were effective in improving adiposity outcomes (n = 13, 59% and n = 5, 36% respectively). None of these differences were statistically significant. Meta-analyses for weight found no significant differences between gender-targeted and gender-neutral studies for weight loss or weight gain prevention studies. Meta-analysis for fruit and vegetable intake demonstrated a significantly greater increase in intervention participants in gender-targeted studies of +158 g/day for > 3 months. CONCLUSIONS Although differences in outcome effectiveness were identified between gender-targeted and gender-neutral studies, these were not significantly different. This is likely due to an insufficient number of studies to detect a difference. The meta-analysis for fruit and vegetable intake findings should be interpreted with caution due to including only two gender-targeted studies. The findings collectively are suggestive of a potential difference requiring further investigation. To truly determine the effectiveness of gender-targeted interventions, well-designed RCTs comparing gender-targeted interventions with gender-neutral and control are needed. REGISTRATION This systematic review is a secondary analysis of studies included in a systematic review examining the effectiveness of interventions targeting nutrition, physical activity, or overweight/obesity in young adults, for which a predefined protocol was registered with PROSPERO (CRD42017075795).
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Affiliation(s)
- Thomas Sharkey
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
| | - Megan C. Whatnall
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
| | - Melinda J. Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
| | - Rebecca L. Haslam
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
| | - Aaron Bezzina
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
| | - Clare E. Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
| | - Lee M. Ashton
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, 2308 Australia
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30
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Islam MM, Poly TN, Walther BA, Jack Li YC. Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis. JMIR Mhealth Uhealth 2020. [PMID: 32706724 DOI: 10.2196/1703941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Obesity and lack of physical activity are major health risk factors for many life-threatening diseases, such as cardiovascular diseases, type 2 diabetes, and cancer. The use of mobile app interventions to promote weight loss and boost physical activity among children and adults is fascinating owing to the demand for cutting-edge and more efficient interventions. Previously published studies have examined different types of technology-based interventions and their impact on weight loss and increase in physical activity, but evidence regarding the impact of only a mobile phone app on weight loss and increase in physical activity is still lacking. OBJECTIVE The main objective of this study was to assess the efficacy of a mobile phone app intervention for reducing body weight and increasing physical activity among children and adults. METHODS PubMed, Google Scholar, Scopus, EMBASE, and the Web of Science electronic databases were searched for studies published between January 1, 2000, and April 30, 2019, without language restrictions. Two experts independently screened all the titles and abstracts to find the most appropriate studies. To be included, studies had to be either a randomized controlled trial or a case-control study that assessed a mobile phone app intervention with body weight loss and physical activity outcomes. The Cochrane Collaboration Risk of Bias tool was used to examine the risk of publication bias. RESULTS A total of 12 studies involving a mobile phone app intervention were included in this meta-analysis. Compared with the control group, the use of a mobile phone app was associated with significant changes in body weight (-1.07 kg, 95% CI -1.92 to -0.21, P=.01) and body mass index (-0.45 kg/m2, 95% CI -0.78 to -0.12, P=.008). Moreover, a nonsignificant increase in physical activity was observed (0.17, 95% CI -2.21 to 2.55, P=.88). CONCLUSIONS The findings of this study demonstrate the promising and emerging efficacy of using mobile phone app interventions for weight loss. Future studies are needed to explore the long-term efficacy of mobile app interventions in larger samples.
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Affiliation(s)
- Md Mohaimenul Islam
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Tahmina Nasrin Poly
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Bruno Andres Walther
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Yu-Chuan Jack Li
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan
- Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Dermatology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
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31
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Islam MM, Poly TN, Walther BA, Jack Li YC. Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis. JMIR Mhealth Uhealth 2020; 8:e17039. [PMID: 32706724 PMCID: PMC7407260 DOI: 10.2196/17039] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 03/16/2020] [Accepted: 04/07/2020] [Indexed: 01/07/2023] Open
Abstract
Background Obesity and lack of physical activity are major health risk factors for many life-threatening diseases, such as cardiovascular diseases, type 2 diabetes, and cancer. The use of mobile app interventions to promote weight loss and boost physical activity among children and adults is fascinating owing to the demand for cutting-edge and more efficient interventions. Previously published studies have examined different types of technology-based interventions and their impact on weight loss and increase in physical activity, but evidence regarding the impact of only a mobile phone app on weight loss and increase in physical activity is still lacking. Objective The main objective of this study was to assess the efficacy of a mobile phone app intervention for reducing body weight and increasing physical activity among children and adults. Methods PubMed, Google Scholar, Scopus, EMBASE, and the Web of Science electronic databases were searched for studies published between January 1, 2000, and April 30, 2019, without language restrictions. Two experts independently screened all the titles and abstracts to find the most appropriate studies. To be included, studies had to be either a randomized controlled trial or a case-control study that assessed a mobile phone app intervention with body weight loss and physical activity outcomes. The Cochrane Collaboration Risk of Bias tool was used to examine the risk of publication bias. Results A total of 12 studies involving a mobile phone app intervention were included in this meta-analysis. Compared with the control group, the use of a mobile phone app was associated with significant changes in body weight (−1.07 kg, 95% CI −1.92 to −0.21, P=.01) and body mass index (−0.45 kg/m2, 95% CI −0.78 to −0.12, P=.008). Moreover, a nonsignificant increase in physical activity was observed (0.17, 95% CI −2.21 to 2.55, P=.88). Conclusions The findings of this study demonstrate the promising and emerging efficacy of using mobile phone app interventions for weight loss. Future studies are needed to explore the long-term efficacy of mobile app interventions in larger samples.
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Affiliation(s)
- Md Mohaimenul Islam
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.,Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Tahmina Nasrin Poly
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.,Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Bruno Andres Walther
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Yu-Chuan Jack Li
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.,Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Dermatology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
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32
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Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis. Nutrients 2020; 12:nu12071977. [PMID: 32635174 PMCID: PMC7400167 DOI: 10.3390/nu12071977] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/26/2020] [Accepted: 06/30/2020] [Indexed: 01/04/2023] Open
Abstract
Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.
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Ashton LM, Sharkey T, Whatnall MC, Haslam RL, Bezzina A, Aguiar EJ, Collins CE, Hutchesson MJ. Which behaviour change techniques within interventions to prevent weight gain and/or initiate weight loss improve adiposity outcomes in young adults? A systematic review and meta-analysis of randomized controlled trials. Obes Rev 2020; 21:e13009. [PMID: 32064761 DOI: 10.1111/obr.13009] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 01/30/2020] [Accepted: 01/30/2020] [Indexed: 12/17/2022]
Abstract
Young adulthood is associated with the highest rate of weight gain compared with any other adult age group. This review evaluates the effectiveness of interventions with adiposity outcomes among young adults and identifies which behaviour change techniques (BCTs) are most effective. BCT utilization was assessed using Michie's 93-item BCT Taxonomy v1. Six electronic databases were searched for randomized controlled trials assessing change in adiposity in young adults (17-35 years) until December 2019; identifying 21,582 articles. Fifty-one studies were included. Meta-analyses for weight (n=19 studies), body mass index (BMI) (n=20 studies), and waist circumference (n=10 studies) demonstrated no significant between-group differences at ≤3 or >3 months. There were no differences between interventions focusing on weight loss or weight-gain prevention. Narrative synthesis showed significant between-group differences in weight change, favouring the intervention in 14/43 (33%) studies. In studies assessing BMI and waist circumference, this was 31% (11/36) and 25% (4/16). Two BCTs had a percentage effectiveness ratio >50% in weight loss interventions; social support (unspecified) and self-monitoring behaviour, and one in weight-gain prevention interventions; and goal-setting (outcome). Findings demonstrate initial potential for these types of BCTs and can help build cumulative evidence towards delivering effective, cost-efficient, and replicable interventions.
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Affiliation(s)
- Lee M Ashton
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Thomas Sharkey
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Megan C Whatnall
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Rebecca L Haslam
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Aaron Bezzina
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Elroy J Aguiar
- Department of Kinesiology, College of Education, University of Alabama, Tuscaloosa, Alabama
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Melinda J Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
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Allman-Farinelli M, Chen J, Chevance G, Partridge SR, Gemming L, Patrick K, Godino JG. The efficacy of electronic health interventions targeting improved sleep for achieving prevention of weight gain in adolescents and young to middle-aged adults: A systematic review. Obes Rev 2020; 21:e13006. [PMID: 32037672 DOI: 10.1111/obr.13006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/21/2019] [Accepted: 01/15/2020] [Indexed: 12/24/2022]
Abstract
Sleep is emerging as a modifiable risk factor in counteracting harmful weight gain. Electronic and mobile devices offer a channel for wide-reaching intervention delivery. This systematic review aimed to determine the efficacy of interventions that included sleep behaviour as part of health promotion for preventing weight gain. Seven databases were searched from 1 January 2000 until 28 June 2019. Eligible studies were controlled trials of weight gain prevention programs that addressed sleep in healthy participants aged 13 to 44 years of age. The primary outcome was change in measured or self-reported weight. From 824 publications located, only six eligible trials with a total of 3,277 participants were identified and all addressed multiple behaviours. One study demonstrated a decrease in weight for the intervention group, and two other studies showed a decreased prevalence of overweight and obesity. Only one trial showed improved sleep duration but failed to show differences in weight. No definitive conclusions concerning the efficacy of electronic weight gain prevention interventions that include sleep can be made, but future trials should provide more detail about intervention techniques used, employ objective sleep and physical activity measures and undertake mediation analysis to judge the contributions of changes in sleep to study outcomes. PROSPERO REGISTRATION: CRD42019121879.
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Affiliation(s)
| | - Juliana Chen
- Charles Perkins Centre, The University of Sydney, Camperdown, Australia
| | - Guillaume Chevance
- Center for Wireless and Population Health Systems, The University of California San Diego, San Diego, California, USA
| | | | - Luke Gemming
- Charles Perkins Centre, The University of Sydney, Camperdown, Australia
| | - Kevin Patrick
- Center for Wireless and Population Health Systems, The University of California San Diego, San Diego, California, USA
| | - Job G Godino
- Center for Wireless and Population Health Systems, The University of California San Diego, San Diego, California, USA
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Freebairn L, Atkinson JA, Qin Y, Nolan CJ, Kent AL, Kelly PM, Penza L, Prodan A, Safarishahrbijari A, Qian W, Maple-Brown L, Dyck R, McLean A, McDonnell G, Osgood ND. 'Turning the tide' on hyperglycemia in pregnancy: insights from multiscale dynamic simulation modeling. BMJ Open Diabetes Res Care 2020; 8:8/1/e000975. [PMID: 32475837 PMCID: PMC7265040 DOI: 10.1136/bmjdrc-2019-000975] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 02/15/2020] [Accepted: 04/06/2020] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Hyperglycemia in pregnancy (HIP, including gestational diabetes and pre-existing type 1 and type 2 diabetes) is increasing, with associated risks to the health of women and their babies. Strategies to manage and prevent this condition are contested. Dynamic simulation models (DSM) can test policy and program scenarios before implementation in the real world. This paper reports the development and use of an advanced DSM exploring the impact of maternal weight status interventions on incidence of HIP. METHODS A consortium of experts collaboratively developed a hybrid DSM of HIP, comprising system dynamics, agent-based and discrete event model components. The structure and parameterization drew on a range of evidence and data sources. Scenarios comparing population-level and targeted prevention interventions were simulated from 2018 to identify the intervention combination that would deliver the greatest impact. RESULTS Population interventions promoting weight loss in early adulthood were found to be effective, reducing the population incidence of HIP by 17.3% by 2030 (baseline ('business as usual' scenario)=16.1%, 95% CI 15.8 to 16.4; population intervention=13.3%, 95% CI 13.0 to 13.6), more than targeted prepregnancy (5.2% reduction; incidence=15.3%, 95% CI 15.0 to 15.6) and interpregnancy (4.2% reduction; incidence=15.5%, 95% CI 15.2 to 15.8) interventions. Combining targeted interventions for high-risk groups with population interventions promoting healthy weight was most effective in reducing HIP incidence (28.8% reduction by 2030; incidence=11.5, 95% CI 11.2 to 11.8). Scenarios exploring the effect of childhood weight status on entry to adulthood demonstrated significant impact in the selected outcome measure for glycemic regulation, insulin sensitivity in the short term and HIP in the long term. DISCUSSION Population-level weight reduction interventions will be necessary to 'turn the tide' on HIP. Weight reduction interventions targeting high-risk individuals, while beneficial for those individuals, did not significantly impact forecasted HIP incidence rates. The importance of maintaining interventions promoting healthy weight in childhood was demonstrated.
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Affiliation(s)
- Louise Freebairn
- The Australian Prevention Partnership Centre, Sax Institute, Haymarket, New South Wales, Australia
- School of Medicine, The University of Notre Dame Australia, Darlinghurst, New South Wales, Australia
- Population Health, ACT Health, Woden, Australian Capital Territory, Australia
| | - Jo-An Atkinson
- The Australian Prevention Partnership Centre, Sax Institute, Haymarket, New South Wales, Australia
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Yang Qin
- Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Christopher J Nolan
- Endocrinology and Diabetes, ACT Health, Woden, Australian Capital Territory, Australia
- Medical School, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Alison L Kent
- Medical School, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
- Golisano Children's Hospital at URMC, University of Rochester, Rochester, New York, USA
| | - Paul M Kelly
- Population Health, ACT Health, Woden, Australian Capital Territory, Australia
- Medical School, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Luke Penza
- School of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, New South Wales, Australia
| | - Ante Prodan
- School of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, New South Wales, Australia
| | - Anahita Safarishahrbijari
- Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Weicheng Qian
- Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Louise Maple-Brown
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
- Endocrinology Department, Royal Darwin Hospital, Casuarina, Northern Territory, Australia
| | - Roland Dyck
- Department of Medicine, University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada
| | - Allen McLean
- Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Geoff McDonnell
- The Australian Prevention Partnership Centre, Sax Institute, Haymarket, New South Wales, Australia
| | - Nathaniel D Osgood
- Computational Epidemiology and Public Health Informatics Laboratory, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Kim K, Lee CJ, Hornik RC. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. JOURNAL OF HEALTH COMMUNICATION 2020; 25:283-290. [PMID: 32286924 DOI: 10.1080/10810730.2020.1745962] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
People may use multiple health apps at the same time or in close sequence, and the effect of health apps may vary across different socioeconomic groups. However, in the context of healthy eating, studies have focused on the effect of using a single health app. This study aims to test the relationship of using multiple health apps with fruit and vegetable consumption, assessing moderation by education level. Employing longitudinal survey data from South Korean adults, we conducted regression analyses to test the lagged association between use of health apps and intake of fruits and vegetables, and whether education moderates the relationship. The results supported the positive lagged relationship of health app use with fruit and vegetable consumption, significant after controlling for confounders and baseline fruit and vegetable consumption. The association was smaller among respondents with higher education. Our findings suggest the positive effect of using multiple health apps on fruit and vegetable consumption, implying the importance of finding the best combination of health apps to maximize their effectiveness in promoting healthy eating. Also, the negative interaction of health app use and education support using mobile communication technology to improve the public health of low socioeconomic status individuals.
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Affiliation(s)
- Kwanho Kim
- Annenberg School for Communication, University of Pennsylvania , Philadelphia, PA, US
| | - Chul-Joo Lee
- Department of Communication, College of Social Science, Seoul National University , Seoul, South Korea
| | - Robert C Hornik
- Annenberg School for Communication, University of Pennsylvania , Philadelphia, PA, US
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Theoretical underpinnings of interventions that effectively promote physical activity in adult men. GERMAN JOURNAL OF EXERCISE AND SPORT RESEARCH 2020. [DOI: 10.1007/s12662-019-00631-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Rouf A, Nour M, Allman-Farinelli M. Improving Calcium Knowledge and Intake in Young Adults Via Social Media and Text Messages: Randomized Controlled Trial. JMIR Mhealth Uhealth 2020; 8:e16499. [PMID: 32044755 PMCID: PMC7055802 DOI: 10.2196/16499] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 11/04/2019] [Accepted: 11/13/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Calcium is an important nutrient for the attainment of peak bone mass during adolescence and young adulthood. However, these life phases are characterized as hard to reach for health promotion. Social media platforms offer a promising channel as they are relatively low cost but used ubiquitously by youth. OBJECTIVE The aim of the CAlcium Nutrition-Dietary Opportunities (CAN-DO) study was to conduct a randomized controlled trial to test the effectiveness of Facebook alone or with text messaging as channels to deliver a theory-based program to encourage optimal calcium intake. METHODS The intervention was a 3-arm parallel trial. Young adults aged 18 to 25 years were recruited through university and social media for a 6-week trial. Participants were randomized to 1 of the 3 arms (ie, Facebook posts, Facebook posts plus text messages, and control group that received an electronic leaflet containing information on calcium intake). The primary outcome was change in intake of milk and other calcium-rich foods, and secondary outcomes were knowledge, self-efficacy, motivation, and habit formation concerning calcium-rich foods. Changes were assessed before and after the intervention, and the differences in change between groups were compared using multivariate regression models with multiple imputations for missing data. RESULTS A total of 211 participants (64/211, 30.3% males) participated (mean age 21.4 years, SD 2.1) in this study. At the end of the program, no increase in milk intake (odds ratio [OR] 1.51, 95% CI 0.61-3.75 Facebook; OR 1.77, 95% CI 0.74-4.24 Facebook plus text messages; P=.41) nor calcium-rich food was detected (P=.57). There was a significant improvement in knowledge in the Facebook plus text messages group (P<.001), but habit formation improved less than that in the other 2 groups (P=.01). Our results showed a moderate level of engagement with intervention content and positive qualitative feedback from participants. CONCLUSIONS The CAN-DO study delivered via Facebook (with the additional support of text messages) was found to improve knowledge and was acceptable among young adults. However, further research is needed to better understand social media engagement and how to optimize the program for participants to be sufficiently motivated to increase their intake of calcium-rich foods. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12620000097943; http://www.anzctr.org.au/ACTRN12620000097943.aspx.
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Affiliation(s)
- Anika Rouf
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, Australia
| | - Monica Nour
- The University of Sydney, School of Life and Environmental Sciences, Camperdown, Australia
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Kim HN, Seo K. Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 17:ijerph17010015. [PMID: 31861359 PMCID: PMC6982141 DOI: 10.3390/ijerph17010015] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 12/02/2019] [Accepted: 12/10/2019] [Indexed: 12/19/2022]
Abstract
The need for physical activity for health promotion is recognized, yet young adults still perform insufficient physical activity. Smartphone health programs can be applied easily without time and space constraints, and various mobile health programs based on smartphone applications have recently been developed and applied. This study aimed to measure the effects of mobile smartphone-based health programs on physical activity and obesity outcomes in young adults through a systematic review and meta-analysis. We searched publications in English through electronic databases up to May 2019. Studies were included that provided interventions to improve physical activity using smartphone applications for young adults. After assessing study quality, data were extracted and synthesized concerning whether smartphone interventions affect health outcomes including physical activity and weight using Meta-Analysis software. Four randomized controlled studies and a quasi-experimental study were analyzed. They provided information related to health management, diet, physical activity, and personalized feedback using smartphone applications. The meta-analysis showed that smartphone-based health interventions significantly affect weight loss and increase physical activity. This study provides modest evidence for using smartphone health programs to improve young adults’ physical activity, weight control, and body mass index (BMI). Future research is needed to understand long-term effects and the reliability of increasing physical activity through smartphone health programs.
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Affiliation(s)
- Han-Na Kim
- Department of Dental Hygiene, College of Health and Medical Sciences, Cheongju University, Cheongju 28503, Korea;
| | - Kyoungsan Seo
- Department of Nursing, College of Health and Medical Sciences, Cheongju University, Cheongju 28503, Korea
- Correspondence: ; Tel.: +82-43-229-8353
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Kim TY, Lee YS, Yu EJ, Kim MS, Yang SY, Hur YI, Kang JH. Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors. Nutr Res Pract 2019; 13:509-520. [PMID: 31814926 PMCID: PMC6883230 DOI: 10.4162/nrp.2019.13.6.509] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 06/25/2018] [Accepted: 06/13/2019] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND/OBJECTIVES This study evaluated whether a mobile health (mHealth) application can instigate healthy behavioral changes and improvements in metabolic disorders in individuals with metabolic abnormalities. SUBJECTS/METHODS Participants were divided into an mHealth intervention group (IG), which used a mobile app for 24 weeks, and a conventional IG. All mobile apps featured activity monitors, with blood pressure and glucose monitors, and body-composition measuring devices. The two groups were compared after 24 weeks in terms of health-behavior practice rate and changes in the proportion of people with health risks, and health behaviors performed by the IG that contributed to reductions in more than one health risk factor were analyzed using multiple logistic regression. RESULTS Preference for low-sodium diet, reading nutritional facts, having breakfast, and performing moderate physical activity significantly increased in the mHealth IG. Furthermore, the mHealth IG showed a significant increase of eight items in the mini-dietary assessment; particularly, the items “I eat at least two types of vegetables of various colors at every meal” and “I consume dairies, such as milk, yogurt, and cheese, every day.” The proportion of people with health risks, with the exception of fasting glucose, significantly decreased in the mHealth IG, while only the proportion of people with at-risk triglycerides and waist circumference of females significantly decreased in the control group. Finally, compared to those who did not show improvements of health risks, those who showed improvements of health risks in the mHealth IG had an odds ratio of 1.61 for moderate to vigorous physical activity, 1.65 for “I do not add more salt or soy sauce in my food,” and 1.77 for “I remove fat in my meat before eating.” CONCLUSIONS The findings suggest that the additional use of a community-based mHealth service through a mobile application is effective for improving health behaviors and lowering metabolic risks in Koreans.
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Affiliation(s)
- Tae-Yon Kim
- Korea Health Promotion Institute, Seoul 04554, Korea
| | - Yun-Su Lee
- Korea Health Promotion Institute, Seoul 04554, Korea
| | - Eun-Jung Yu
- Korea Health Promotion Institute, Seoul 04554, Korea
| | - Min-Su Kim
- Korea Health Promotion Institute, Seoul 04554, Korea
| | | | - Yang-Im Hur
- Department of Family Medicine, Seoul Paik Hospital, Inje University College of Medicine, 9, Mareunnae-ro, Jung-gu, Seoul 04551, Korea
| | - Jae-Heon Kang
- Department of Family Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University College of Medicine, Seoul 03181, Korea
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Pirrit S, Nosa V, Utter J. Development and Feasibility of a Pacific-Focused Community Weight Management Program. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2019; 51:1025-1027. [PMID: 31047809 DOI: 10.1016/j.jneb.2019.04.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/26/2019] [Accepted: 04/01/2019] [Indexed: 06/09/2023]
Affiliation(s)
- Susan Pirrit
- Pacific Heartbeat, Heart Foundation, Auckland, New Zealand
| | - Vili Nosa
- School of Population Health, University of Auckland, Auckland, New Zealand
| | - Jennifer Utter
- School of Population Health, University of Auckland, Auckland, New Zealand.
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Eno AK, Ruck JM, Van Pilsum Rasmussen SE, Waldram MM, Thomas AG, Purnell TS, Garonzik Wang JM, Massie AB, Al Almmary F, Cooper LM, Segev DL, Levan MA, Henderson ML. Perspectives on implementing mobile health technology for living kidney donor follow-up: In-depth interviews with transplant providers. Clin Transplant 2019; 33:e13637. [PMID: 31194892 PMCID: PMC6690770 DOI: 10.1111/ctr.13637] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 05/21/2019] [Accepted: 06/07/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND United States transplant centers are required to report follow-up data for living kidney donors for 2 years post-donation. However, living kidney donor (LKD) follow-up is often incomplete. Mobile health (mHealth) technologies could ease data collection burden but have not yet been explored in this context. METHODS We conducted semi-structured in-depth interviews with a convenience sample of 21 transplant providers and thought leaders about challenges in LKD follow-up, and the potential role of mHealth in overcoming these challenges. RESULTS Participants reported challenges conveying the importance of follow-up to LKDs, limited data from international/out-of-town LKDs, and inadequate staffing. They believed the 2-year requirement was insufficient, but expressed difficulty engaging LKDs for even this short time and inadequate resources for longer-term follow-up. Participants believed an mHealth system for post-donation follow-up could benefit LKDs (by simplifying communication/tasks and improving donor engagement) and transplant centers (by streamlining communication and decreasing workforce burden). Concerns included cost, learning curves, security/privacy, patient language/socioeconomic barriers, and older donor comfort with mHealth technology. CONCLUSIONS Transplant providers felt that mHealth technology could improve LKD follow-up and help centers meet reporting thresholds. However, designing a secure, easy to use, and cost-effective system remains challenging.
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Affiliation(s)
- Ann K Eno
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessica M Ruck
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Madeleine M Waldram
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Alvin G Thomas
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Tanjala S Purnell
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
- Department of Health Behavior and Society, Johns Hopkins School of Public Health, Baltimore, Maryland
- Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, Maryland
| | | | - Allan B Massie
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Fawaz Al Almmary
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Lisa M Cooper
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
- Department of Health Behavior and Society, Johns Hopkins School of Public Health, Baltimore, Maryland
- Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, Maryland
- Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Dorry L Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
- Department of Acute and Chronic Care, Johns Hopkins School of Nursing, Baltimore, Maryland
| | | | - Macey L Henderson
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Acute and Chronic Care, Johns Hopkins School of Nursing, Baltimore, Maryland
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McCrabb S, Lane C, Hall A, Milat A, Bauman A, Sutherland R, Yoong S, Wolfenden L. Scaling-up evidence-based obesity interventions: A systematic review assessing intervention adaptations and effectiveness and quantifying the scale-up penalty. Obes Rev 2019; 20:964-982. [PMID: 30868745 DOI: 10.1111/obr.12845] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/07/2019] [Accepted: 02/09/2019] [Indexed: 01/06/2023]
Abstract
Maximizing the benefits of investments in obesity research requires effective interventions to be adopted and disseminated broadly across populations (scaled-up). However, interventions often need considerable adaptation to enable implementation at scale, a process that can reduce the effects of interventions. A systematic review was undertaken for trials that sought to deliver an obesity intervention to populations on a larger scale than a preceding randomized controlled trial (RCT) that established its efficacy. Ten scaled-up obesity interventions (six prevention and four treatment) were included. All trials made adaptations to interventions as part of the scale-up process, with mode of delivery adaptations being most common. A meta-analysis of body mass index (BMI)/BMI z score (zBMI) from three prevention RCTs found no significant benefit of scaled-up interventions relative to control (standardized mean difference [SMD] = 0.03; 95% CI, -0.09 to 0.15, P = 0.639 - I2 = 0.0%). All four treatment interventions reported significant improvement on all measures of weight status. Pooled BMI/zBMI data from prevention trials found significantly lower effects among scaled-up intervention trials than those reported in pre-scale-up efficacy trials (SMD = -0.11; 95% CI, -0.20 to -0.02, P = 0.018 - I2 = 0.0%). Across measures of weight status, physical activity/sedentary behaviour, and nutrition, the effects reported in scaled-up interventions were typically 75% or less of the effects reported in pre-scale-up efficacy trials. The findings underscore the challenge of scaling-up obesity interventions.
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Affiliation(s)
- Sam McCrabb
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Cassandra Lane
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
| | - Alix Hall
- Clinical Research Design, IT, and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute (HMRI), New Lambton Heights, New South Wales, Australia
| | - Andrew Milat
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Adrian Bauman
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.,Clinical Research Design, IT, and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute (HMRI), New Lambton Heights, New South Wales, Australia.,Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Serene Yoong
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.,Clinical Research Design, IT, and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute (HMRI), New Lambton Heights, New South Wales, Australia.,Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.,Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
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Willmott T, Pang B, Rundle-Thiele S, Badejo A. Reported theory use in electronic health weight management interventions targeting young adults: a systematic review. Health Psychol Rev 2019; 13:295-317. [PMID: 31161877 DOI: 10.1080/17437199.2019.1625280] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
This review assesses the extent of reported theory use in electronic health weight management interventions targeting young adults aged 18-35 years. Twenty-four eligible studies were identified. Two independent reviewers extracted data and coded for theory use using the Theory Coding Scheme. Overall, the mean total use of theory score was 6/23 (SD = 5; Min. = 0, Max. = 17); 17 studies were classified as having weak application of theory, five as moderate, and two as strong. The majority (N = 18) of studies mentioned theory, however, most (N = 14) did not report how intervention techniques related to theoretical base. No study used theory to select intervention recipients and only four used theory to tailor intervention techniques to recipients. Limited studies reported theory testing (N = 6) and no study used intervention results to build and/or refine theory. Results indicate that weight-related outcomes may be enhanced when at least one or more theoretical constructs are explicitly linked to an intervention technique and when theoretical constructs are included in evaluations. Increases in theory application and reporting are needed to assist the scientific research community in systematically identifying which theories work, for whom, how, why, and when; thereby delivering an advanced understanding of how best to apply theory to enhance intervention outcomes.
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Affiliation(s)
- Taylor Willmott
- a Social Marketing @ Griffith, Griffith Business School, Griffith University , Queensland , Australia
| | - Bo Pang
- a Social Marketing @ Griffith, Griffith Business School, Griffith University , Queensland , Australia
| | - Sharyn Rundle-Thiele
- a Social Marketing @ Griffith, Griffith Business School, Griffith University , Queensland , Australia
| | - Abi Badejo
- a Social Marketing @ Griffith, Griffith Business School, Griffith University , Queensland , Australia
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Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. Am J Prev Med 2019; 56:894-903. [PMID: 31003801 DOI: 10.1016/j.amepre.2018.12.005] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 12/13/2018] [Accepted: 12/14/2018] [Indexed: 12/23/2022]
Abstract
CONTEXT Weight management is an effective strategy for controlling chronic disease and maintaining physical health, and research on this topic has risen dramatically over the past four decades. The present systematic literature review aimed to identify existing evidence on the efficacy of mobile health technology in facilitating weight management behaviors, such as healthy food consumption and physical activity. EVIDENCE ACQUISITION A systematic search was conducted in Ovid MEDLINE and Ovid PsycINFO databases with the aim to identify studies published in peer-reviewed journal articles between 2012 and 2017. EVIDENCE SYNTHESIS A total of 39 studies were analyzed in spring 2018 and are presented here in terms of participant characteristics, effective technology components, additional treatments, impact on health-related behaviors, and treatment efficacy. Indicators of study quality and social validity are also provided. CONCLUSIONS Mobile health apps are widely considered as satisfactory, easy to use, and helpful in the pursuit of weight loss goals by patients. The potential of mobile health apps in facilitating weight loss lies in their ability to increase treatment adherence through strategies such as self-monitoring. These findings indicate that satisfactory treatment adherence and consequent weight loss and maintenance are achieved in the presence of high levels of engagement with a mobile health app. The research quality assessment of RCTs reveals a great need for following international standards both when conducting and reporting research.
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Affiliation(s)
- Katerina Dounavi
- School of Social Sciences, Education and Social Work, Queen's University of Belfast, Belfast, Northern Ireland.
| | - Olga Tsoumani
- Imec-SMIT, Vrije Universiteit Brussel, Brussels, Belgium
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Ashton LM, Sharkey T, Whatnall MC, Williams RL, Bezzina A, Aguiar EJ, Collins CE, Hutchesson MJ. Effectiveness of Interventions and Behaviour Change Techniques for Improving Dietary Intake in Young Adults: A Systematic Review and Meta-Analysis of RCTs. Nutrients 2019; 11:nu11040825. [PMID: 30979065 PMCID: PMC6520715 DOI: 10.3390/nu11040825] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 04/04/2019] [Accepted: 04/09/2019] [Indexed: 12/17/2022] Open
Abstract
Poor eating habits are common during young adulthood and influence chronic disease morbidity. This systematic review evaluates the effectiveness of interventions aiming to improve dietary intake among young adults and, identifies which behaviour change techniques (BCTs) are most effective. Six electronic databases were searched for RCTs published until October 2018, and evaluating behavioural interventions assessing change in dietary intake in young adults (17–35 years). Of the 18,779 articles identified, 54 were included. Forty studies focused on fruit and/or vegetable intake, of which 63% showed a significant between-group difference in favour of the intervention group. Meta-analysis (n = 17) demonstrated a significant increase in fruit and vegetable intake of +68.6 g/day after three months of intervention and +65.8 g/day for interventions >3 months when compared to control. A meta-analysis (n = 5) on total energy intake found no significant differences between groups. The BCTs with the highest effectiveness ratio were habit formation (100%), salience of consequences (83%) and adding objects to the environment (70%). The review highlights the potential of behavioural interventions to improve young adults’ fruit and vegetable intake but was less convincing for other dietary outcomes. Due to the lack of studies including each BCT, the BCTs imperative to success could not be identified.
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Affiliation(s)
- Lee M Ashton
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Thomas Sharkey
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Megan C Whatnall
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Rebecca L Williams
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Aaron Bezzina
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Elroy J Aguiar
- Department of Kinesiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, MA 01003, USA.
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Melinda J Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
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Yang Q, Van Stee SK. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR Mhealth Uhealth 2019; 7:e11244. [PMID: 30942695 PMCID: PMC6468337 DOI: 10.2196/11244] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 12/01/2018] [Accepted: 12/10/2018] [Indexed: 12/17/2022] Open
Abstract
Background As mobile technology continues expanding, researchers have been using mobile phones to conduct health interventions (mobile health—mHealth—interventions). The multiple features of mobile phones offer great opportunities to disseminate large-scale, cost-efficient, and tailored messages to participants. However, the interventions to date have shown mixed results, with a large variance of effect sizes (Cohen d=−0.62 to 1.65). Objective The study aimed to generate cumulative knowledge that informs mHealth intervention research. The aims were twofold: (1) to calculate an overall effect magnitude for mHealth interventions compared with alternative interventions or conditions, and (2) to analyze potential moderators of mHealth interventions’ comparative efficacy. Methods Comprehensive searches of the Communication & Mass Media Complete, PsycINFO, Web of Knowledge, Academic Search Premier, PubMed and MEDLINE databases were conducted to identify potentially eligible studies in peer-reviewed journals, conference proceedings, and dissertations and theses. Search queries were formulated using a combination of search terms: “intervention” (Title or Abstract) AND “health” (Title or Abstract) AND “*phone*” OR “black-berr*” (OR mHealth OR “application*” OR app* OR mobile OR cellular OR “short messag*” OR palm* OR iPhone* OR MP3* OR MP4* OR iPod*) (Title or Abstract). Cohen d was computed as the basic unit of analysis, and the variance-weighted analysis was implemented to compute the overall effect size under a random-effects model. Analysis of variance–like and meta-regression models were conducted to analyze categorical and continuous moderators, respectively. Results The search resulted in 3424 potential studies, the abstracts (and full text, as necessary) of which were reviewed for relevance. Studies were screened in multiple stages using explicit inclusion and exclusion criteria, and citations were evaluated for inclusion of qualified studies. A total of 64 studies were included in the current meta-analysis. Results showed that mHealth interventions are relatively more effective than comparison interventions or conditions, with a small but significant overall weighted effect size (Cohen d=0.31). In addition, the effects of interventions are moderated by theoretical paradigm, 3 engagement types (ie, changing personal environment, reinforcement tracking, social presentation), mobile use type, intervention channel, and length of follow-up. Conclusions To the best of our knowledge, this is the most comprehensive meta-analysis to date that examined the overall effectiveness of mHealth interventions across health topics and is the first study that statistically tested moderators. Our findings not only shed light on intervention design using mobile phones, but also provide new directions for research in health communication and promotion using new media. Future research scholarship is needed to examine the effectiveness of mHealth interventions across various health issues, especially those that have not yet been investigated (eg, substance use, sexual health), engaging participants using social features on mobile phones, and designing tailored mHealth interventions for diverse subpopulations to maximize effects.
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Affiliation(s)
- Qinghua Yang
- Department of Communication Studies, Bob Schieffer College of Communication, Texas Christian University, Fort Worth, TX, United States
| | - Stephanie K Van Stee
- Department of Communication and Media, University of Missouri-St. Louis, St. Louis, MO, United States
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48
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Willmott TJ, Pang B, Rundle-Thiele S, Badejo A. Weight Management in Young Adults: Systematic Review of Electronic Health Intervention Components and Outcomes. J Med Internet Res 2019; 21:e10265. [PMID: 30724736 PMCID: PMC6381405 DOI: 10.2196/10265] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 11/23/2018] [Accepted: 12/10/2018] [Indexed: 01/11/2023] Open
Abstract
Background Young adulthood is a vulnerable period for unhealthy lifestyle adoption and excess weight gain. Scant attention has been focused on developing and evaluating effective weight gain prevention strategies for this age group. Electronic health (eHealth) offers potential as a cost-effective means of delivering convenient, individually-tailored, and contextually-meaningful interventions at scale. Objective The primary aim of this systematic review was to locate and synthesize the evidence on eHealth weight management interventions targeting young adults, with a particular focus on (eHealth) intervention components and outcomes. Methods A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search strategy was executed across the following electronic databases: Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, EBSCO, EMBASE, Emerald, Education Resources Information Center, Medical Literature Analysis and Retrieval System Online, Ovid, ProQuest, PsycINFO, PubMed, Science Direct, Scopus, and Web of Science. Furthermore, 2 reviewers independently assessed records for eligibility: peer-reviewed, published in English, and report evaluations of eHealth weight management interventions targeting healthy young adults (aged 18-35 years). Data were then extracted from studies that met the criteria for inclusion. The methodological quality of studies was independently assessed by 2 reviewers using the Effective Public Health Practice Project’s (EPHPP) quality assessment tool. A comprehensive narrative evidence synthesis was then completed. Results Out of the 1301 studies assessed for eligibility, 24 met the criteria for inclusion. According to the EPHPP quality assessment tool, overall, 19 studies were as rated weak, 5 as moderate, and none as strong. The narrative synthesis of intervention outcomes found 8 studies reported positive weight-related outcomes, 4 reported mixed outcomes, and 12 did not report any significant changes in weight-related outcomes. The narrative synthesis of (eHealth) intervention components led to 3 levels of classification. A total of 14 studies were classified as Web-based, 3 as mobile-based, and 7 as multicomponent interventions. Following the narrative synthesis, 5 key strategies were thematically identified: self-regulation (goal setting and self-monitoring), tailored or personalized feedback, contact with an interventionist, social support, and behavioral prompts (nudges and reminders) and booster messages. Conclusions Findings highlight the limited evidence base for eHealth weight management interventions targeting young adults. The complex nature of weight management presents an ongoing challenge for interventionists to identify what works, for whom, how, and when. The quality of the evidence in this review was generally assessed as weak; however, assessment tools such as the EPHPP are principally concerned with what should be and this is seldom equivalent to what works. Thus, while sampling, study design and retention rates will remain key determining factors of reliability and validity, further research attention directed toward the development of guiding tools for community trials is warranted.
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Affiliation(s)
- Taylor Jade Willmott
- Social Marketing @ Griffith, Griffith Business School, Griffith University, Nathan, Australia
| | - Bo Pang
- Social Marketing @ Griffith, Griffith Business School, Griffith University, Nathan, Australia
| | - Sharyn Rundle-Thiele
- Social Marketing @ Griffith, Griffith Business School, Griffith University, Nathan, Australia
| | - Abi Badejo
- Social Marketing @ Griffith, Griffith Business School, Griffith University, Nathan, Australia
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49
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Henderson ML, Thomas AG, Eno AK, Waldram MM, Bannon J, Massie AB, Levan MA, Segev DL, Bingaman AW. The Impact of the mKidney mHealth System on Live Donor Follow-Up Compliance: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2019; 8:e11000. [PMID: 30664485 PMCID: PMC6350092 DOI: 10.2196/11000] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 10/03/2018] [Accepted: 10/04/2018] [Indexed: 12/22/2022] Open
Abstract
Background Every year, more than 5500 healthy people in the United States donate a kidney for the medical benefit of another person. The Organ Procurement and Transplantation Network (OPTN) requires transplant hospitals to monitor living kidney donors (LKDs) for 2 years postdonation. However, the majority (115/202, 57%) of transplant hospitals in the United States continue to fail to meet nationally mandated requirements for LKD follow-up. A novel method for collecting LKD follow-up is needed to ease both the transplant hospital-level and patient-level burden. We built mKidney—a mobile health (mHealth) system designed specifically to facilitate the collection and reporting of OPTN-required LKD follow-up data. The mKidney mobile app was developed on the basis of input elicited from LKDs, transplant providers, and thought leaders. Objective The primary objective of this study is to evaluate the impact of the mKidney smartphone app on LKD follow-up rates. Methods We will conduct a two-arm randomized controlled trial (RCT) with LKDs who undergo LKD transplantation at Methodist Specialty and Transplant Hospital in San Antonio, Texas. Eligible participants will be recruited in-person by a study team member at their 1-week postdonation clinical visit and randomly assigned to the intervention or control arm (1:1). Participants in the intervention arm will receive the mHealth intervention (mKidney), and participants in the control arm will receive the current standard of follow-up care. Our primary outcome will be policy-defined complete (all components addressed) and timely (60 days before or after the expected visit date) submission of LKD follow-up data at required 6-month, 1-year, and 2-year visits. Our secondary outcome will be hospital-level compliance with OPTN reporting requirements at each visit. Data analysis will follow the intention-to-treat principle. Additionally, we will collect quantitative and qualitative process data regarding the implementation of the mKidney system. Results We began recruitment for this RCT in May 2018. We plan to enroll 400 LKDs over 2 years and follow participants for the 2-year mandated follow-up period. Conclusions This pilot RCT will evaluate the impact of the mKidney system on rates of LKD and hospital compliance with OPTN-mandated LKD follow-up at a large LKD transplant hospital. It will provide valuable information on strategies for implementing such a system in a clinical setting and inform effect sizes for future RCT sample size calculations. International Registered Report Identifier (IRRID) DERR1-10.2196/11000
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Affiliation(s)
- Macey L Henderson
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Acute and Chronic Care, Johns Hopkins School of Nursing, Baltimore, MD, United States
| | - Alvin G Thomas
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Ann K Eno
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Madeleine M Waldram
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jaclyn Bannon
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Allan B Massie
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Michael A Levan
- United Network for Organ Sharing, Richmond, VA, United States
| | - Dorry L Segev
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Acute and Chronic Care, Johns Hopkins School of Nursing, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Adam W Bingaman
- The Texas Transplant Institute, Methodist Specialty and Transplant Hospital, San Antonio, TX, United States
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50
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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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