Integrative Review
American Heart Association Lifestyle Recommendations to Reduce Obesity
Jane Doe
University
Project and Practicum
Abstract
The prevalence of obesity and sedentary lifestyle complications are increasing at alarming rates, representing a common but preventable cause of severe medical complications like diabetes, cardiovascular diseases, and early mortality. This chronic condition has been for a long time a public health concern and social determinant. The Fitbit app offers a unique opportunity to enhance the efficacy of weight loss plans as it is used to track activity, monitor steps, heart rate, energy expenditure, sleep, and sedentary behavior. The integrative review focused on how the American Heart Association (AHA) Diet and Lifestyle recommendations and the Fitbit app are used as innovative solutions to reduce obesity in adult patients.
Research Methodology: A systematic review was conducted to identify research articles completed in the preceding 4-5 years centered on obesity care, diet, physical activity, activity trackers, and lifestyle implications.
Results and Discussion: The databases searched were Chamberlain Library, PubMed, and CINHAL. Initial searches yielded over 2000 articles, of which 45 were chosen and examined because they fit the integrative review's theme. The 15 papers most relevant to the PICOT question were studied in further detail and appraised using the Johns Hopkins Evidence Appraisal table. The studies reported positive physical activity outcomes.
Conclusions and Further Recommendations: This systematic review supported the effectiveness of the AHA Diet and Lifestyle recommendations to reduce obesity, and clinical use generalization is recommended. Fitbit app provides new ways to improve physical activity habits, and the easy availability of electronic devices may enhance their generalizability use.
Keywords: Obesity care; Obesity complications; Lifestyle recommendations; Obesity management; Physical activity intervention using Fitbit activity trackers.
Dedication
Thanks to my family for their unwavering support of this project; their cooperation means a lot to me. To my husband Armando, thank you for your love, understanding, and patience during this time. I credit my achievement to all of you for your unwavering love and belief in me.
Acknowledgments
First, I must acknowledge the help of all my professors who inspired, encouraged, and supported me throughout the DNP program. My heartfelt thanks to my teammates, without whom I would never have completed this phase in my life. Their encouragement has had a significant influence on my strong determination during this trip.
Contents American Heart Association Lifestyle Recommendations to Reduce Obesity 1 Abstract 2 Introduction Error! Bookmark not defined. Dedication 3 Acknowledgments 4 American Heart Association Lifestyle Recommendations to Reduce Obesity 6 Problem Statement 6 Significance of the Practice Problem 7 Theory or Translational Science Framework 8 Methodology 10 Review Protocol 10 Inclusion/Exclusion Criteria 10 Data Analysis 10 Results and Discussion 11 Characterization of the Body of Literature 11 Findings Synthesis 11 Conclusions and Further Recommendations 12 Implications for Nursing Practice 12 Conclusions and Contributions to the Professions of Nursing 12 Recommendations 12 References 13 Appendix A 18
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American Heart Association Lifestyle Recommendations to Reduce Obesity
Problem Statement
The Practice Problem Statement section is 1 paragraph in length. Your introduction section should smoothly transition into your problem statement. It should flow logically from the information you provided. Include your inquiry question, which will provide direction for your work. Explain your approach to the problem and how your intervention would be addressed.
Obesity represents a common but preventable cause of morbidity and severe medical complications. Despite efforts to curb the issue, globally, the annual cases of obesity continue to rise. Obesity has reached epidemic proportions worldwide, affecting people's health (Carbone et al., 2022). Physical activity is advised to minimize the risk of chronic diseases such as diabetes, cardiovascular disease, and cancer. According to the literature, it is common to find patients with a sedentary lifestyle and physical inactivity. Still, wearables and smartphone apps provide new ways to improve physical activity habits (Gal et al., 2018). The easy availability of sophisticated activity trackers such as Fitbit offers a unique opportunity to enhance the efficacy of computer-tailored interventions. These advanced activity trackers can monitor steps, heart rate, energy expenditure, sleep, sedentary behavior, and physical activity intensity (Vandelanotte et al., 2018). The inquiry question which provided direction for the integrative review is: In overweight adult patients in a primary care clinic, what is the impact of implementing the American Heart Association Diet and Lifestyle recommendations, compared to standard care, on body weight in 8-10 weeks?
Significance of the Practice Problem
The Significance of the Practice Problem section is 1-2 pages in length. Start this section with identification of the practice problem. This section articulates the issue and its significance from both a global/nationwide perspective, as well as within the practicum site.
From a global/nationwide perspective, how does the issue impact nurses, nursing care, healthcare organizations, the quality of care being provided, society (costs, healthcare policy, etc.), the patient/client (e.g., pain, suffering, quality of life, impact on income potential, etc.), the family, healthcare system (e.g., impact on cost or delivery systems). Discuss the incidence and/or prevalence and include the financial impact, if at all possible. You might discuss the impact on length of stay, readmission, home health care requirements, disability and/or mortality. Also, you should address any quality, safety, legal, and ethical implications. This discussion must be substantiated by citations from professional literature. This also applies in regard to the impact of the issue within the practicum site.
Obesity has become a global epidemic, with at least 2.8 million people dying yearly from being overweight or obese (WHO, 2021). Obesity has several negative consequences for population health and healthcare costs (Carbone et al., 2022). Sedentary behavior and physical inactivity are two of the most common modifiable risk factors in obese patients. Obesity is a chronic condition linked to higher mortality and morbidity rates (WHO,2021). According to the Centers for Disease Control and Prevention, it causes an estimated 300,000 fatalities yearly in the United States (CDC, 2021). Obesity co-morbidities include heart disease, stroke, type 2 diabetes, and some kinds of cancer, contributing to a lower quality of life and shorter life expectancy. Obesity affects 93.3 million persons in the United States and is one of the primary causes of avoidable and early mortality (CDC, 2021). Internal clinical reports have shown a significant increase in obese patients at the primary care clinic practicum site. Physical activity and exercise training help improve and avoid many chronic diseases, including cardiovascular disease, in people of all ages, races, ethnicities, and sexes (Lavie et al., 2019).
At the national level, the rate of obesity-related diseases represents a severe public health concern that negatively impacts the community’s quality of life and nursing care expenses. According to the CDC 2021, obesity is a common, powerful, and costly disease, and the prevalence and incidence remain high in the United States. The Centers for Disease Control and Prevention (CDC) reports that 42.4% of all adults in the United States are fat, and 650 million individuals worldwide are obese. Obesity cost USA $190.2 billion in 2018, accounting for 21% of total healthcare expenses. The government continues investing a lot of money in healthcare institutions to provide the most excellent care to patients, and the economic implications are enormous. Based on the high number of obese patients found at the clinical site, is needed an innovative intervention to reduce obesity and enhance clinical outcomes.
Theory or Translational Science Framework
The Knowledge to Action Framework served as a framework for the integrative review. It was developed by Dr. Ian Graham and his colleagues in 2006 and was founded on over thirty theories of change. It gives a seven-phase cycle that allows stakeholders to translate knowledge into practice to enhance outcomes (Graham & Tetroe, 2010). The model comprises two essential parts: knowledge generation and action. This model's primary purpose is to turn evidence into action while monitoring, evaluating, and tweaking the implementation process (Boscart et al., 2020). The seven phases in the Knowledge to Action Framework will serve as a structure and guide for this integrative review.
The first phase of the Knowledge to Action (KTA) model is to identify the problem. The problem should be determined to inform the most appropriate tool. The practice problem, in this case, is an increasing prevalence of obesity which needs urgent intervention. The AHA lifestyle guidelines are a relevant tool used to prevent and reduce the prevalence of obesity.
The second phase is to adapt knowledge to the local context. There is a need to identify available stakeholders in the local context, including available healthcare providers, nurse managers, and patients. The stage also involves building a robust infrastructure in the local context and linking the local context to other model locations.
The third phase is to assess facilitators and barriers to knowledge use. This stage involves identifying facilitators to change and the obstacles that may drag the process or reduce the outcomes (Kitson et al., 2018). The location is essential as it helps stakeholders utilize the facilitators and address the barriers. The facilitators include a cooperative patient care team, and the potential wall is participants may forget to input data in the tracking app, and others lack proper mobile access. The challenges can be addressed by educating patients and sending weekly reminders.
The fourth stage is to select, tailor, and knowledge use . The step involves mapping and applying the AHA diet and lifestyle recommendations and use the tracking app to ensure compliance in the best way possible.
The fifth phase is to monitor knowledge use. Collecting data on knowledge use is essential and providing the service aligns with the project purpose (Bryant et al., 2019). It will help stakeholders make some changes if needed to facilitate the project.
The sixth phase is to evaluate the outcomes. It is vital to assess the effects of the strategy intervention to inform future decisions. Intervention evaluation helps determine if any goals should be addressed to enhance the project outcomes (Zhao et al., 2021). The DNP student may evaluate the results by interviewing patients and the patient’s care team. Internal sources may also include weight changes, as evident in the clinic’s data.
Phase seven of the KTA model is to sustain knowledge. There should be strategies for supporting evidence-based knowledge to enhance and impact the current practice. Knowledge implementation is more effective if it is maintained for a long time. To sustain long-term weight control, nutrition knowledge, attitudes, and dietary self-regulation are significant predictors of overweight and obesity (Balani et al., 2019).
Methodology
Review Protocol
The Review Protocol section is 1-2 pages in length. This section is written so that others can replicate the integrative review. There is a description in detail of how the integrative review was conducted, including a description of the search strategy, the selection of databases used, with justification and the search terms.
Inclusion/Exclusion Criteria
The Inclusion/Exclusion Criteria section is 1-2 pages in length. The specific selection approach is discussed, with an explanation of the selection of sources included in the review.
Data Analysis
The Data Analysis section is 1-2 pages in length. Explains how data were extracted from the sources you selected for the integrative review, and describes how results from the studies were handled and combined. Explains the process for how the sources were analyzed, whether quantitatively or qualitatively, with a justification of the analytic methods you used and their appropriateness.
Results and Discussion
Characterization of the Body of Literature
The Characterization of the Body of Literature section is 2-4 pages in length. The characteristics of the body of literature provides a thorough review of the quality of the sources selected for the integrative review, the number of sources eliminated, the number of sources included, the various types of journals reviewed, and the methods you used for the review. The strengths and weaknesses of the sources are examined.
Findings Synthesis
The Findings Synthesis section is 5-8 pages in length. The findings synthesis offers a substantial thematic analysis or meta-analysis of the findings (in a met-analysis, numerical data is combined from multiple studies to draw new conclusions). The review of the literature covers all facets of the problem, intervention and outcomes with numerous (at least 15 primary research articles and/or systematic reviews no more than 5 years old) references linking the practice problem and the selected intervention. Direct quotations are not included, as synthesis of literature is expected.
The 15 (minimum) primary research studies and/or systematic reviews are included in Appendix A – The Johns Hopkins Nursing Evidence-Based Practice Individual Evidence Summary Tool. Only research evidence is included in the synthesis and on the evidence table. No secondary sources are included.
Conclusions and Further Recommendations
Implications for Nursing Practice
The Implications for Nursing Practice section is 1-2 pages in length. The implications of the project on nursing and healthcare is effectively described, based on the integrative review. The impact on the appropriate system (i.e., micro, meso, macro) and recommendations are included.
Some ideas:
· Incorporating regular physical activity, a healthy diet, and a lifestyle are crucial in preventing and reducing obesity. (micro= patient level, meso= nursing care, macro= organization level)
· Physical activity and exercise training help improve patient outcomes and avoid several chronic diseases in people of all ages, races, ethnicities, and sexes (Lavie et al., 2019).
· Implementing the American Heart Association (AHA) Diet Lifestyle Recommendations reduces organizations’ costs associated with obesity care and multiple medical complications related to obesity.
Conclusions and Contributions to the Professions of Nursing
The Conclusions and Contributions to the Professions of Nursing section is 1-2 pages in length.
The conclusion reviews the main topics presented and clearly and effectively summarizes significant conclusions from the integrative review. Conclusions should relate directly to your purpose and project question. They are generalizations that loop back to the existing literature on your topic. For each conclusion you make, cite the sources that support or contradict your findings. Conclusions indicate what is now known regarding nursing practice when your results and results from prior literature are considered together.
Recommendations
The Recommendations section is 1-2 pages in length. Recommendations based on the findings should be for the nursing profession and society in general, and to specific nursing leaders as mentioned in the significance portion. A summary of the major findings concludes the findings and interpretations portion with a transitional paragraph introducing the recommendations portion. Be sure to make specific recommendations for leaders in the nursing field and policy makers. Recommendations for future research should be detailed and extensive.
References
The References page begins on a new page and there must be a corresponding reference for every intext citation used within the paper. References are current (published within last five years or seminal studies), from peer-reviewed journals, minimal secondary sources, and all are appropriate to the identified nursing problem and intervention. Also include the 15 articles that supports the integrative review and are containing in the appendix A. ***(The 15 articles that are supposed to be used for the integrative review are highlighted, and some other used before or possible article for use are in the following references list for your consideration. Feel free to use the ones you find pertinent. Appendix A is in the right place, it is completed, and reviewed, please keep it as is).***
American Heart Association. (2021, November 21). The American Heart Association diet and lifestyle recommendations. www.heart.org. https://www.heart.org/en/healthy-living/healthy-eating/eat-smart/nutrition-basics/aha-diet-and-lifestyle-recommendations
Balani, R., Herrington, H., Bryant, E., Lucas, C., & Kim, S. C. (2019). Nutrition knowledge, attitudes, and self-regulation as predictors of overweight and obesity. Journal of the American Association of Nurse Practitioners, 31(9), 505–510. https://doi.org/10.1097/JXX.0000000000000169
Beauchamp, M. R., Ruissen, G. R., Dunlop, W. L., Estabrooks, P. A., Harden, S. M., Wolf, S. A., Liu, Y., Schmader, T., Puterman, E., Sheel, A. W., & Rhodes, R. E. (2018). Group-based physical activity for older adults (GOAL) randomized controlled trial: Exercise adherence outcomes. Health psychology: official journal of the Division of Health Psychology, American Psychological Association, 37(5), 451–461. https://doi.org/10.1037/hea0000615
Bergum, H., Sandven, I., & Klemsdal, T. (2021). Long-term effects (>24 months) of multiple lifestyle interventions on major cardiovascular risk factors among high-risk subjects: A meta-analysis. BMC Cardiovascular Disorders, 21(1). https://doi.org/10.1186/s12872-021-01989-5
Boscart, V., Davey, M., Crutchlow, L., Heyer, M., Johnson, K., Taucar, L. S., ... & Heckman, G. (2020). Effective chronic disease interventions in nursing homes: a scoping review based on the knowledge-to-action framework. Clinical gerontologist, 1-14. https://doi.org/10.1080/07317115.2019.1707339
Bray, G. A., & Ryan, D. H. (2021). Evidence-based weight-loss interventions: Individualized treatment options to maximize patient outcomes. Diabetes, obesity & metabolism, 23 Suppl 1, 50–62. https://doi.org/10.1111/dom.14200
Brickwood, K. J., Watson, G., O'Brien, J., & Williams, A. D. (2019). Consumer-based wearable activity trackers increase physical activity participation: Systematic review and meta-analysis. JMIR mHealth and uHealth, 7(4), e11819. https://doi.org/10.2196/11819
Carbone, S., Lavie, C. J., Elagizi, A., Arena, R., & Ventura, H. O. (2020). The Impact of Obesity in Heart Failure. Heart failure clinics, 16(1), 71–80. https://doi.org/10.1016/j.hfc.2019.08.008
Centers for Disease Control and Prevention. (2021, February 11). Adult obesity facts.
Følling, I. S., Oldervoll, L. M., Hilmarsen, C., & Ersfjord, E. (2021). A qualitative study explores the use of activity monitors for patients with obesity during weight-loss treatment. BMC sports science, medicine & rehabilitation, 13(1), 25. https://doi.org/10.1186/s13102-021-00253-9
Gal, R., May, A., van Overmeeren, E., Simons, M., & Monninkhof, E. (2018). The effect of physical activity interventions comprising wearables and smartphone applications on physical activity: A systematic review and meta-analysis. Sports Med Open, 4(1). https://doi.org/10.1186%2Fs40798-018-0157-9
Graham, I. D., & Tetroe, J. M. (2010). The knowledge to action framework. Models and frameworks for implementing evidence-based practice: Linking evidence to action, 207, 222. https://doi.org/10.1002/chp.47
Groessl, E. J., Kaplan, R. M., Rejeski, W. J., Katula, J. A., Glynn, N. W., King, A. C., Anton, S. D., Walkup, M., Lu, C. J., Reid, K., Spring, B., & Pahor, M. (2019). Physical Activity and Performance Impact Long-term Quality of Life in Older Adults at Risk for Major Mobility Disability. American journal of preventive medicine, 56(1), 141–146. https://doi.org/10.1016/j.amepre.2018.09.006
Hu, L., Illiano, P., Pompeii, M. L., Popp, C. J., Kharmats, A. Y., Curran, M., Perdomo, K., Chen, S., Bergman, M., Segal, E., & Sevick, M. A. (2021). Challenges of conducting a remote behavioral weight loss study: Lessons learned and a practical guide. Contemporary Clinical Trials, 108, 106522. https://doi.org/10.1016/j.cct.2021.106522
Jenum, A. K., Brekke, I., Mdala, I., Muilwijk, M., Ramachandran, A., Kjøllesdal, M., Andersen, E., Richardsen, K. R., Douglas, A., Cezard, G., Sheikh, A., Celis-Morales, C. A., Gill, J., Sattar, N., Bhopal, R. S., Beune, E., Stronks, K., Vandvik, P. O., & van Valkengoed, I. (2019). Effects of dietary and physical activity interventions on the risk of type 2 diabetes in South Asians: meta-analysis of individual participant data from randomised controlled trials. Diabetologia, 62(8), 1337–1348. https://doi.org/10.1007/s00125-019-4905-2
Jiang, Q., Li, J. T., Sun, P., Wang, L. L., Sun, L. Z., & Pang, S. G. (2022). Effects of lifestyle interventions on glucose regulation and diabetes risk in adults with impaired glucose tolerance or prediabetes: a meta-analysis. Archives of endocrinology and metabolism, 66(2), 157–167. https://doi.org/10.20945/2359-3997000000441
Kitson, A., Brook, A., Harvey, G., Jordan, Z., Marshall, R., O’Shea, R., & Wilson, D. (2018). Using complexity and network concepts to inform healthcare knowledge translation. International Journal of Health Policy and Management, 7(3), 231. https://dx.doi.org/10.15171%2Fijhpm.2017.79
Lavie, C. J., Ozemek, C., Carbone, S., Katzmarzyk, P. T., & Blair, S. N. (2019). Sedentary Behavior, Exercise, and Cardiovascular Health. Circulation Research, 124(5), 799–815. https://doi.org/10.1161/CIRCRESAHA.118.312669
Lean, M. E., Leslie, W. S., Barnes, A. C., Brosnahan, N., Thom, G., McCombie, L., Peters, C., Zhyzhneuskaya, S., Al-Mrabeh, A., Hollingsworth, K. G., Rodrigues, A. M., Rehackova, L., Adamson, A. J., Sniehotta, F. F., Mathers, J. C., Ross, H. M., McIlvenna, Y., Stefanetti, R., Trenell, M., ... Taylor, R. (2018). Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomized trial. Lancet (London, England), 391(10120), 541-551. https://doi.org/10.1016/S0140-6736(17)33102-1
Ma, C., Avenell, A., Bolland, M., Hudson, J., Stewart, F., Robertson, C., Sharma, P., Fraser, C., & MacLennan, G. (2017). Effects of weight loss interventions for adults who are obese on mortality, cardiovascular disease, and cancer: systematic review and meta-analysis. BMJ (Clinical research ed.), 359, j4849. https://doi.org/10.1136/bmj.j4849
Obesity. (2021, June 9). WHO | World Health Organization. https://www.who.int/news-room/facts-in-pictures/detail/6-facts-on-obesity
Swift, D., McGee, J., Earnest, C., Carlisle, E., Nygard, M., & Johannsen, N. (2018). The Effects of Exercise and Physical Activity on Weight Loss and Maintenance. Progress in Cardiovascular Diseases, 61(2), 206-213. https://doi.org/10.1016/j.pcad.2018.07.014
Wadden, T. A., Tronieri, J. S., & Butryn, M. L. (2020). Lifestyle modification approaches for the treatment of obesity in adults. American Psychologist, 75(2), 235–251. https://doi.org/10.1037/amp0000517
Vandelanotte C, Duncan M, Maher C, Schoeppe S, Rebar A, Power D, Short C, Doran C, Hayman M, Alley S. (2018). The effectiveness of a web-based computer-tailored physical activity intervention using Fitbit activity trackers: Randomized trial. Journal of Medical Internet Research. https://www.jmir.org/2018/12/e11321?rel=0
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Appendix A
Johns Hopkins Nursing Evidence-Based Practice
Individual Evidence Summary Tool
© The Johns Hopkins Hospital/Johns Hopkins University. May not be used or reprinted without permission.
Practice Question: In overweight adult patients in a primary care clinic, what is the impact of implementing the American Heart Association Diet and Lifestyle recommendations, compared to standard care, on body weight in 8-10 weeks?
Date: 11/10/2022
|
Article Number |
Author and Date |
Evidence Type |
Sample, Sample Size, Setting |
Findings That Help Answer the EBP Question |
Observable Measures |
Limitations |
Evidence Level, Quality |
|
1 |
Balani, 2019. https://doi.org/10.1097/JXX.0000000000000169 |
Experimental study. |
A total of 313 adults participated in an online survey. |
-Poor eating self-regulation enhances weight gain. -Nutrition knowledge and attitudes matter. |
Examine knowledge and attitudes. |
Possibility of subjective bias. |
Level II, Good. |
|
2 |
Beauchamp, 2018. https://doi.org/10.1037/hea0000615 |
Randomized controlled trial (RCT). |
Enrolled 627 older adults, conducted in Greater Vancouver, Canada, using two group-based exercise programs for older adults. |
-Provide support for the efficacy of group-based physical activity programs. -Promotes exercise adherence behavior. |
Efficacy of group-based physical activity programs. |
Validity depends on multiple sites. |
Level I, High. |
|
3 |
Bergum, 2021 https://doi.org/10.1186/s12872-021-01989-5
|
Systematic Review and Meta-Analysis of randomized controlled trial (RCT). |
Six thousand three hundred fifty patients from three geographical regions; North America (6 trials), Western Europe (5 shots), and Oceania (1 trial). |
-Lifestyle recommendations reduce blood pressure. -Lifestyle interventions do not have a significant impact on cholesterol.
|
Efficacy of lifestyle intervention. |
Subjectivity bias. Heterogeneity. |
Level I, Good. |
|
4 |
Brickwood, 2019. https://doi.org/10.2196/11819 |
Systematic Review and Meta-Analysis. |
A random-effects meta-analysis was completed on 7 studies that reported changes in sedentary behavior. |
-Consumer-based wearable trackers enhance monitoring and support, and also increase participation in physical activities. |
Effects of consumer-based wearable activity trackers. |
Risk of bias. |
Level I, Good. |
|
5 |
Folling, 2021. https://doi.org/10.1186/s13102-021-00253-9 |
Observational study. |
Twenty-nine informants (aged 21 to 66 years) were interviewed; 59% were female. |
-Activity monitors can enhance or undermine weight-loss programs. -Individualized monitors work better. |
Patients’ experiences. |
Does not demonstrate causality. Prone to bias.
|
Level III, Good. |
|
6 |
Gal, 2018. https://doi.org/10.1186%2Fs40798-018-0157-9 |
Systematic Review and Meta-Analysis of randomized controlled trial (RCT). |
18 studies were included in this review. The included studies involved 2734 participants from different populations. |
-Wearables and smartphone applications promote physical activity among adults. |
Effects of physical activity. |
Risk of bias. |
Level II, Good. |
|
7 |
Groessl, 2019. https://doi.org/10.1016/j.amepre.2018.09.006 |
Randomized controlled trial (RCT). |
Multisite RCT compared physical activity to health education among 1,635 randomly assigned sedentary older adults at risk for mobility disability. |
- Physical activity interventions can slow the decline in quality of life. |
Activity interventions |
Risk of bias. |
Level I, High. |
|
8 |
Hu, 2021. |
Randomized controlled trial (RCT). |
Among 135 participants included in the analysis, the median attendance rate for the 14 remote sessions was 85.7%. |
-Connectivity is a great challenge in remote monitoring. -Self-monitoring apps are easy to use. |
Describe challenges and lessons. |
Low external validity.
|
Level I, High. |
|
9 |
Jenum, 2019. https://doi.org/10.1007/s00125-019-4905-2 |
Meta-analysis of RCTs. |
Individual participant data on 1816 participants from all six eligible RCT trials (four from Europe and two from India). |
- lifestyle modification interventions in high-risk South Asian populations resulted in a clinically important 35% relative reduction in diabetes incidence. |
lifestyle modification interventions. |
Limited generalizability. |
Level I, High. |
|
10 |
Jiang, 2022. https://doi.org/10.20945/2359-3997000000441 |
Meta-analysis of RTCs. |
Thirteen RCTs involving 3376 individuals with IGT, or prediabetes were selected for this meta-analysis. |
- Risk of diabetes was significantly reduced in individuals who received lifestyle interventions and were associated with lower FPG. |
Investigate the role of lifestyle interventions on glucose regulation and delay the onset of diabetes in adults. |
Limited generalizability. |
Level I, High. |
|
11 |
Lean, 2018. https://doi.org/10.1016/S0140-6736(17)33102-1 |
Randomized controlled trial (RCT). |
3006 individuals from 9 primary care practices in Scotland and the Tyneside region of England were randomly assigned (1:1) via a computer-generated list. |
-Intensive weight management programs helped to achieve remission of type 2 diabetes. |
Assess the impact of intensive weight management. |
Limited generalizability. |
Level I, High. |
|
12 |
Ma, 2017. https://doi.org/10.1136/bmj.j4849 |
Systematic review and meta-analysis of randomised controlled trials (RCTs). |
54 RCTs with 30 206 participants were identified. |
- high quality evidence showed that weight loss interventions decrease all-cause mortality. |
Assess the impact of weight loss interventions. |
Risk of bias. |
Level I, High. |
|
13 |
Swift, 2018 |
Systematic Review of RTCs. |
Evaluated weight loss from exercise training programs (ET) composed of aerobic training, resistance training, and programs that combine diet and ET. |
-Minimum requirements for exercise are not clinically significant for weight loss. -Combination of exercise and diet leads to better outcomes. |
Effects of exercise and physical activity. |
Susceptible to biasness. |
Level III, Good. |
|
14 |
Wadden, 2020. |
Systematic Review of RTCs. |
Evaluate 10 articles that reflect the contributions of multiple psychologists to the development and treatment of obesity in children, adolescents, and adults. |
Face-to-face counseling sessions are practical. High levels of physical activity and reduced calorie consumption. |
Effects of intensive behavioral interventions. |
Lacks generalizability. |
Level III, Good |
|
15 |
Vandelanotte, 2018. https://www.jmir.org/2018/12/e11321?rel=0 |
Randomized controlled Trial (RTC). |
A total of 243 Australian adults participated. |
Fitbit activity trackers increase total weekly activities. |
Effectiveness of web-based computer-tailored intervention. |
Validity depends on multiple sites. |
Level I, High. |