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de Boer JJ, Feleus A, Hesselink A, Siemonsma P, Verhoef J, Schmitt M. Using storytelling methodology to identify barriers and facilitators of sustained physical activity in patients with a chronic disease: a qualitative study. BMJ Open 2022; 12:e057236. [PMID: 35351725 PMCID: PMC8961147 DOI: 10.1136/bmjopen-2021-057236] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 02/28/2022] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES To identify implicit and more profound barriers and facilitators and involving context elements to accomplish sustained physical activity (PA) in patients with a chronic disease. Understanding these barriers and facilitators may help develop future strategies to be used by healthcare professionals in primary care to support patients with a chronic disease to reach sustained PA. DESIGN AND METHODS The qualitative, narrative research method storytelling was applied. Perspectives of both patients with a chronic disease (n=12) and involved healthcare professionals (n=11) were collected. Stories were audiotaped and retrieved from the transcriptions. Analysis involved a cyclic process of constant comparison. Main themes were arranged in the theoretical framework of the Capability, Opportunity, Motivation and Behaviour (COM-B) model. PARTICIPANTS Patients were adults with a chronic disease or at high risk of developing a chronic disease who participated in a PA promoting programme. Eligible healthcare professionals were those involved in these PA promoting programmes in primary care, such as physiotherapists, nurse practitioners or sports consultants. RESULTS From 176 stories, 62 relevant and unique stories were selected for further analysis. Eleven main themes were identified and afterwards linked to the COM-B model. Trust in one's own capabilities and in the healthcare professional were relevant themes. Also, health literacy and coping with temporary interruption were important capabilities. Important motivators were customised PA, increasing awareness, meaningful activities, exercising in a group and success experiences. Aversion to sports was seen as a barrier. Interprofessional collaboration and prerequisites can be a facilitator or a barrier. CONCLUSIONS This study provides insight into deeper motivations, barriers and facilitators of sustained PA from both the patients' and healthcare professionals' perspective. Comparing these perspectives revealed different views and beliefs on some themes. Attention for temporary interruptions, aversion to sports and health literacy were identified to be important for sustained PA.
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Affiliation(s)
- Johanna Jacoba de Boer
- Department of Physiotherapy and Research Center Innovations in Care, Rotterdam University of Applied Sciences, Rotterdam, The Netherlands
| | - Anita Feleus
- Department of Physiotherapy and Research Center Innovations in Care, Rotterdam University of Applied Sciences, Rotterdam, The Netherlands
| | - Arlette Hesselink
- Department of Physical Therapy & Faculty of Health, University of Applied Sciences Leiden, Leiden, The Netherlands
| | - Petra Siemonsma
- Department of Physical Therapy & Faculty of Health, University of Applied Sciences Leiden, Leiden, The Netherlands
| | - John Verhoef
- Department of Physical Therapy & Faculty of Health, University of Applied Sciences Leiden, Leiden, The Netherlands
| | - Maarten Schmitt
- Department of Physiotherapy and Research Center Innovations in Care, Rotterdam University of Applied Sciences, Rotterdam, The Netherlands
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Nikniaz L, Tabrizi JS, Farhangi MA, Pourmoradian S, Allameh M, Hoseinifard H, Tahmasebi S, Nikniaz Z. Community-Based Interventions to Reduce Fat Intake in Healthy Populations: A Systematic Review and Meta-Analysis. CURRENT NUTRITION & FOOD SCIENCE 2022. [DOI: 10.2174/1573401318666220308125105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
Reducing fat intake is a major focus of most dietary recommendations aiming to prevent chronic diseases. Thus, this study aimed to summarize community-based interventions for reducing fat consumption among healthy people.
Methods:
According to PRISMA guidelines, in this systematic review and meta-analysis databases including PubMed/MEDLINE, Scopus, EMBASE, Cochrane Library, Web of Science, ProQuest, and Google Scholar were searched up to January 2021. Randomized clinical trials (RCTs) or quasi-experimental studies reporting the effect of community-based interventions to reduce fat intake in a healthy populations were included. The quality of studies was assessed using the Cochrane Collaboration tool and The Joanna Briggs Institute Critical Appraisal Checklist. Meta-analysis was performed using CMA2 software.
Results:
Our search strategy resulted in a total of 1,621 articles, 43 of which were included in the study after screening. Of the 43 included studies, 35 studies reported a significant decrease in fat intake using educational and multiple intervention methods. About 82% of studies using the technology were effective (significant decrease in fat intake) in reducing fat intake. Moreover, studies specifically designed to change fat intake were more effective than multicomponent interventions. The meta-analysis of high-quality studies showed that the differences in total fat (-0.262 g/d) and saturated fat (-0.350 g/d) intake between the intervention and control groups were statistically significant (P<0.05).
Conclusion:
Based on the high-quality studies, educational and multiple interventions are suggested in the community settings to decrease fat intake. For a concise conclusions, long-term and high frequency interventions focusing on reducing fat intake are desirable.
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Affiliation(s)
- Leila Nikniaz
- Tabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jafar Sadegh Tabrizi
- Tabriz Health Services Management Research Center, Faculty of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Samira Pourmoradian
- Nutrition research center, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Motahareh Allameh
- Adolescent, Youth and Schools Health Office, Ministry of Health and Medical Education, Tehran, Iran
| | - Hosein Hoseinifard
- MSc in biostatistics, Iranian Center for Evidence-Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sanaz Tahmasebi
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Zeinab Nikniaz
- Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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Frydenberg M, Maindal HT, Fletcher A, Juul L. Is patient activation a mediator of the effect of a health promoting intervention in adults at high risk of type 2 diabetes? A longitudinal path model analysis within a randomised trial. BMC Public Health 2022; 22:439. [PMID: 35246099 PMCID: PMC8897929 DOI: 10.1186/s12889-022-12864-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/22/2022] [Indexed: 12/03/2022] Open
Abstract
Background Exploring mediators of preventive intervention effects has important implications for the planning of complex interventions. Our aim was to assess the extent to which knowledge, skills and confidence to manage health, here measured as “patient activation”, was a mediator of the effect of the intervention “Live your life without diabetes” on weight, waist circumference and systolic blood pressure at 12 months follow-up in adults at high risk of type 2 diabetes. Methods Autoregressive path models with three time points of measurement, and contemporaneous and constant b paths were used in a randomised controlled trial (RCT). The RCT took place in a Danish municipal healthcare center and included 127 individuals aged 28 to 70 years with fasting plasma glucose: 6.1–6.9 mmol/l and/or glycated haemoglobin (HbA1c): 42.0–47.9 mmol/mol. Participants were randomised to routine care (n = 64), or intervention (n = 63). The intervention group received an empirical and theory-based intervention delivered over four two-h group sessions during five weeks, and two further sessions after one and six months. The outcomes were weight, waist circumference and systolic blood pressure, and the mediator was patient activation, measured by the self-reported Patient Activation Measure (PAM). Data for the present study was derived from questionnaires and clinical measures from baseline, three- and 12-months follow-up. Results Mediated effects via PAM on: weight: − 0.09 kg (95% CI − 0.38 to 0.20) out of the total effect − 1.09 kg (95% CI − 3.05 to 0.87); waist circumference: − 0.04 cm (95% CI − 0.36 to 0.28) out of the total effect − 1.86 cm (95% CI − 4.10 to 0.39); and systolic blood pressure: − 0.31 mmHg (− 1.10 to 0.49) out of the total effect − 2.73 mmHg (95% CI − 6.34 to 0.87). Conclusion We found no mediating effects of patient activation as a single variable of the intervention “Live your life without diabetes” on weight, waist circumference and systolic blood pressure at 12 months follow-up in adults at high risk of type 2 diabetes. Our study demonstrates an analytic approach for estimating mediating effects in complex interventions that comply with the criteria on temporal ordered data. Future studies should include possible interacting variables.
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Affiliation(s)
- Morten Frydenberg
- Department of Public Health, Aarhus University, Denmark, MFStat, Aarhus, Denmark
| | | | - Adam Fletcher
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Lise Juul
- Department of Clinical Medicine, Danish Center for Mindfulness, Aarhus University, Aarhus, Denmark.
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4
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Chen M, Moran LJ, Harrison CL, Ukke GG, Sood S, Bennett CJ, Bahri Khomami M, Absetz P, Teede H, Lim S. Ethnic differences in response to lifestyle intervention for the prevention of type 2 diabetes in adults: A systematic review and meta-analysis. Obes Rev 2022; 23:e13340. [PMID: 34528393 DOI: 10.1111/obr.13340] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/05/2021] [Accepted: 08/05/2021] [Indexed: 12/30/2022]
Abstract
The risk of type 2 diabetes mellitus (T2DM) varies by ethnicity, but ethnic differences in response to diabetes prevention interventions remain unclear. This systematic review and meta-analysis assessed ethnic differences in the effects of lifestyle interventions on T2DM incidence, glycemic outcomes (fasting glucose, 2-h glucose, HbA1c ), anthropometric measures (weight, BMI, waist circumference), and lifestyle behaviors (physical activity, energy intake, energy from fat, fiber intake). MEDLINE, EMBASE, and other databases were searched (to June 15, 2020) for randomized and non-randomized controlled trials on lifestyle interventions (diet and/or physical activity) in adults at risk of T2DM. Ethnicity was categorized into European, South Asian, East and Southeast Asian, Middle Eastern, Latin American, and African groups. Forty-four studies were included in meta-analyses. Overall, lifestyle interventions resulted in significant improvement in T2DM incidence, glycemic outcomes, anthropometric measures, physical activity, and energy intake (all P < 0.01). Significant subgroup differences by ethnicity were found for 2-h glucose, weight, BMI, and waist circumference (all P < 0.05) but not for T2DM incidence, fasting glucose, HbA1c , and physical activity (all P > 0.05). Few studies in non-European groups reported dietary intake. Lifestyle interventions in different ethnic groups may have similar effects in reducing incidence of T2DM although this needs to be confirmed in further studies.
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Affiliation(s)
- Mingling Chen
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Cheryce L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Gebresilasea Gendisha Ukke
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Surbhi Sood
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Christie J Bennett
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences, Monash University, Notting Hill, Victoria, Australia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Pilvikki Absetz
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Siew Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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5
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Chen M, Ukke GG, Moran LJ, Sood S, Bennett CJ, Bahri Khomami M, Absetz P, Teede H, Harrison CL, Lim S. The Effect of Lifestyle Intervention on Diabetes Prevention by Ethnicity: A Systematic Review of Intervention Characteristics Using the TIDieR Framework. Nutrients 2021; 13:4118. [PMID: 34836372 PMCID: PMC8624360 DOI: 10.3390/nu13114118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 11/09/2021] [Accepted: 11/12/2021] [Indexed: 11/16/2022] Open
Abstract
Lifestyle intervention is effective in preventing type 2 diabetes mellitus (T2DM), but the efficacy of intervention components across different ethnic groups is less clear. This systematic review examined the effects of intervention characteristics of lifestyle interventions on diabetes incidence and weight loss by ethnicity using the Template for Intervention Description and Replication (TIDieR) framework. MEDLINE, EMBASE and other databases were searched for randomized and non-randomized controlled trials on lifestyle interventions (diet and/or physical activity) in adults at risk of T2DM. Ethnicity was categorized into European, South Asian, East and Southeast Asian, Middle Eastern, Latin American and African groups. Forty-five studies (18,789 participants) were included in the systematic review and 41 studies in meta-analysis. Meta-analysis showed a high number of intervention sessions was significantly associated with a greater reduction in diabetes incidence (P = 0.043) and weight (P = 0.015), while other intervention characteristics including intervention provider and delivery format did not alter the outcomes (all P > 0.05). Additionally, narrative synthesis showed long-term interventions (≥12 months) were associated with significant diabetes risk reduction for all ethnic groups, while short-term interventions (<12 months) were more effective in weight loss in most ethnic groups. There may be ethnic preferences for the optimal number of intervention sessions.
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Affiliation(s)
- Mingling Chen
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
| | - Gebresilasea Gendisha Ukke
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
| | - Lisa J. Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
| | - Surbhi Sood
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
| | - Christie J. Bennett
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences, Monash University, Notting Hill, VIC 3168, Australia;
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
| | - Pilvikki Absetz
- Faculty of Social Sciences, Tampere University, 33014 Tampere, Finland;
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
- Diabetes and Endocrine Unit, Monash Health, Clayton, VIC 3168, Australia
| | - Cheryce L. Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
- Diabetes and Endocrine Unit, Monash Health, Clayton, VIC 3168, Australia
| | - Siew Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia; (M.C.); (G.G.U.); (L.J.M.); (S.S.); (M.B.K.); (H.T.); (C.L.H.)
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6
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Jonas DE, Crotty K, Yun JDY, Middleton JC, Feltner C, Taylor-Phillips S, Barclay C, Dotson A, Baker C, Balio CP, Voisin CE, Harris RP. Screening for Prediabetes and Type 2 Diabetes: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2021; 326:744-760. [PMID: 34427595 DOI: 10.1001/jama.2021.10403] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Type 2 diabetes is common and is a leading cause of morbidity and disability. OBJECTIVE To review the evidence on screening for prediabetes and diabetes to inform the US Preventive Services Task Force (USPSTF). DATA SOURCES PubMed/MEDLINE, Cochrane Library, and trial registries through September 2019; references; and experts; literature surveillance through May 21, 2021. STUDY SELECTION English-language controlled studies evaluating screening or interventions for prediabetes or diabetes that was screen detected or recently diagnosed. DATA EXTRACTION AND SYNTHESIS Dual review of abstracts, full-text articles, and study quality; qualitative synthesis of findings; meta-analyses conducted when at least 3 similar studies were available. MAIN OUTCOMES AND MEASURES Mortality, cardiovascular morbidity, diabetes-related morbidity, development of diabetes, quality of life, and harms. RESULTS The review included 89 publications (N = 68 882). Two randomized clinical trials (RCTs) (25 120 participants) found no significant difference between screening and control groups for all-cause or cause-specific mortality at 10 years. For harms (eg, anxiety or worry), the trials reported no significant differences between screening and control groups. For recently diagnosed (not screen-detected) diabetes, 5 RCTs (5138 participants) were included. In the UK Prospective Diabetes Study, health outcomes were improved with intensive glucose control with sulfonylureas or insulin. For example, for all-cause mortality the relative risk (RR) was 0.87 (95% CI, 0.79 to 0.96) over 20 years (10-year posttrial assessment). For overweight persons, intensive glucose control with metformin improved health outcomes at the 10-year follow-up (eg, all-cause mortality: RR, 0.64 [95% CI, 0.45 to 0.91]), and benefits were maintained longer term. Lifestyle interventions (most involving >360 minutes) for obese or overweight persons with prediabetes were associated with reductions in the incidence of diabetes (23 RCTs; pooled RR, 0.78 [95% CI, 0.69 to 0.88]). Lifestyle interventions were also associated with improved intermediate outcomes, such as reduced weight, body mass index, systolic blood pressure, and diastolic blood pressure (pooled weighted mean difference, -1.7 mm Hg [95% CI, -2.6 to -0.8] and -1.2 mm Hg [95% CI, -2.0 to -0.4], respectively). Metformin was associated with a significant reduction in diabetes incidence (pooled RR, 0.73 [95% CI, 0.64 to 0.83]) and reduction in weight and body mass index. CONCLUSIONS AND RELEVANCE Trials of screening for diabetes found no significant mortality benefit but had insufficient data to assess other health outcomes; evidence on harms of screening was limited. For persons with recently diagnosed (not screen-detected) diabetes, interventions improved health outcomes; for obese or overweight persons with prediabetes, interventions were associated with reduced incidence of diabetes and improvement in other intermediate outcomes.
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Affiliation(s)
- Daniel E Jonas
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Department of Internal Medicine, The Ohio State University, Columbus
| | - Karen Crotty
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- RTI International, Research Triangle Park, North Carolina
| | - Jonathan D Y Yun
- Thayer Internal Medicine, MaineGeneral Health, Waterville, Maine
| | - Jennifer Cook Middleton
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Cynthia Feltner
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
- Department of Medicine, University of North Carolina at Chapel Hill
| | - Sian Taylor-Phillips
- Warwick Medical School, University of Warwick, Coventry, West Midlands, United Kingdom
| | - Colleen Barclay
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Department of Internal Medicine, The Ohio State University, Columbus
| | - Andrea Dotson
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Claire Baker
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Casey P Balio
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Christiane E Voisin
- RTI International-University of North Carolina at Chapel Hill Evidence-based Practice Center, Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Russell P Harris
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
- Department of Medicine, University of North Carolina at Chapel Hill
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7
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Upsher R, Onabajo D, Stahl D, Ismail K, Winkley K. The Effectiveness of Behavior Change Techniques Underpinning Psychological Interventions to Improve Glycemic Levels for Adults With Type 2 Diabetes: A Meta-Analysis. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2021; 2:699038. [PMID: 36994330 PMCID: PMC10012110 DOI: 10.3389/fcdhc.2021.699038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/18/2021] [Indexed: 11/13/2022]
Abstract
An existing systematic review and meta-analysis found a significant reduction in glycemic levels for adults with type 2 diabetes who received a psychological intervention over control conditions. To help develop effective interventions in the future, there is a need to understand the active ingredients which underpin these psychological interventions. We conducted a secondary meta-analysis including 67 randomized controlled trials (RCTs) reported in English. We reviewed the psychological intervention descriptions of the included studies of the existing review and extracted the behavior change techniques (BCTs) according to the BCT taxonomy (BCTTv1). We also extracted information on primary behavioral target versus primary outcome, and presence of fidelity assessment. The most frequent BCTs across RCTs were ‘social support (unspecified)’ (n=50), ‘problem solving’ (n=38) and ‘goal setting (behavior’) (n=30). These BCTs were independently associated with a significant reduction in glycemic levels (HbA1c) compared to control conditions, but not significantly different from studies that did not include these BCTs. Meta-regressions revealed no significant associations between HbA1c, and psychological intervention category (counselling versus cognitive behavioral therapy interventions) (p=0.84), frequency of BCTs per psychological intervention (p=0.29), primary behavioral target versus primary outcome (p=0.48), or presence of fidelity assessment (p=0.15). Social support (unspecified), problem solving, and goal setting (behavior) could be useful BCTs to develop psychological interventions for people with type 2 diabetes to improve glycemic levels. However, more research is required to understand which combination of individual BCTs are most effective for this population.Systematic Review RegistrationRegistered with the international prospective register of systematic reviews registration (PROSPERO) CRD42016033619.
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Affiliation(s)
- Rebecca Upsher
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- *Correspondence: Rebecca Upsher,
| | - Deborah Onabajo
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Daniel Stahl
- Department of Biostatistics, Institute of Psychiatry, King’s College London, London, United Kingdom
| | - Khalida Ismail
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing and Midwifery, King’s College London, James Clerk Maxwell Building, London, United Kingdom
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8
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Hedeager Momsen AM, Høtoft D, Ørtenblad L, Friis Lauszus F, Krogh RHA, Lynggaard V, Juel Christiansen J, Terkildsen Maindal H, Vinther Nielsen C. Diabetes prevention interventions for women after gestational diabetes mellitus: an overview of reviews. ENDOCRINOLOGY DIABETES & METABOLISM 2021; 4:e00230. [PMID: 34277958 PMCID: PMC8279604 DOI: 10.1002/edm2.230] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 12/21/2022]
Abstract
Aims To present an overview of reviews of interventions for the prevention of diabetes in women after gestational diabetes mellitus (GDM) with the overall aim of gaining information in order to establish local interventions. Methods Six databases were searched for quantitative, qualitative or mixed‐methods systematic reviews. All types of interventions or screening programmes were eligible. The outcomes were effectiveness of reducing diabetes incidence, encouraging healthy behavioural changes and enhancing women's perceptions of their increased risks of developing type 2 diabetes following GDM. Results Eighteen reviews were included: three on screening programmes and seven on participation and risk perceptions. Interventions promoting physical activity, healthy diet, breastfeeding and antidiabetic medicine reported significantly decreased incidence of postpartum diabetes, up to 34% reduction after any breastfeeding compared to none. Effects were larger if the intervention began early after birth and lasted longer. Participation in screening rose up to 40% with face‐to‐face recruitment in a GDM healthcare setting. Interventions were mainly based in healthcare settings and involved up to nine health professions, councillors and peer educators, mostly dieticians. Women reported a lack of postpartum care and demonstrated a low knowledge of risk factors for developing type 2 diabetes. Typical barriers to participation were lack of awareness of increased risk and low levels of support from family. Conclusions Lifestyle interventions or pharmacological treatment postpartum was effective in decreasing diabetes incidence following GDM. Women's knowledge of the risk of diabetes and importance of physical activity was insufficient. Early face‐to‐face recruitment increased participation in screening. Programmes aimed at women following a diagnosis of GDM ought to provide professional and social support, promote screening, breastfeeding, knowledge of risk factors, be long‐lasting and offered early after birth, preferably by face‐to‐face recruitment.
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Affiliation(s)
- Anne-Mette Hedeager Momsen
- Section for Clinical Social Medicine and Rehabilitation Gødstrup Hospital Herning Denmark.,DEFACTUM - Social & Health Services and Labour Market Corporate Quality, Central Denmark Region Aarhus Denmark
| | - Diana Høtoft
- DEFACTUM - Social & Health Services and Labour Market Corporate Quality, Central Denmark Region Aarhus Denmark
| | - Lisbeth Ørtenblad
- DEFACTUM - Social & Health Services and Labour Market Corporate Quality, Central Denmark Region Aarhus Denmark.,Department of Public Health Aarhus University Aarhus Denmark
| | - Finn Friis Lauszus
- Department of Gynaecology and Obstetrics Gødstrup Hospital Gødstrup Denmark
| | | | - Vibeke Lynggaard
- Steno Partner Collaboration between Gødstrup Hospital and Steno Diabetes Center Aarhus Herning Denmark.,Cardiovascular Research Unit Department of Cardiology Gødstrup Hospital Herning Denmark
| | - Jens Juel Christiansen
- Steno Partner Collaboration between Gødstrup Hospital and Steno Diabetes Center Aarhus Herning Denmark.,Department of Medicine Gødstrup Hospital Herning Denmark
| | - Helle Terkildsen Maindal
- Department of Public Health Aarhus University Aarhus Denmark.,Steno Diabetes Center Copenhagen Health Promotion Research Gentofte Denmark
| | - Claus Vinther Nielsen
- Section for Clinical Social Medicine and Rehabilitation Gødstrup Hospital Herning Denmark.,DEFACTUM - Social & Health Services and Labour Market Corporate Quality, Central Denmark Region Aarhus Denmark.,Department of Public Health Aarhus University Aarhus Denmark
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9
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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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Hosseinzadeh H, Verma I, Gopaldasani V. Patient activation and Type 2 diabetes mellitus self-management: a systematic review and meta-analysis. Aust J Prim Health 2020; 26:431-442. [DOI: 10.1071/py19204] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 09/23/2020] [Indexed: 12/14/2022]
Abstract
Patient activation has been recognised as a reliable driver of self-management decision-making. This systematic review and meta-analysis examines existing evidence on whether embedding patient activation within Type 2 diabetes mellitus (T2DM) self-management programs can improve patient outcomes. This review has included 10 randomised controlled trials (RCTs) conducted between 2004 and 2019 retrieved from well-known databases such as MEDLINE, PubMed, CINAHL Plus, Scopus, ProQuest and ScienceDirect. The eligible RCTs were excluded if they scored low according to Cochrane Collaboration’s ‘risk of bias’ criteria. Random-effects meta-analyses showed that there were no significance changes in haemoglobin A1C (HbA1c), body mass index (BMI) and patient activation measure (PAM) between intervention and control groups after the intervention; however, the systematic review findings indicated that an improved patient activation level led to significant improvements in T2DM self-management and clinical outcomes including HbA1c level. Studies with a longer follow-up period conducted in community settings and delivered by peer coaches were more likely to lead to significant improvement in both patient activation levels and T2DM self-management and clinical outcomes. This review concludes that patient activation can be used as a reliable tool for improving T2DM self-management and clinical outcomes.
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Xie L. Design and research of intelligent motion intervention system for infectious diseases. J Infect Public Health 2019; 13:1551-1555. [PMID: 31447402 DOI: 10.1016/j.jiph.2019.07.029] [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: 06/03/2019] [Revised: 07/29/2019] [Accepted: 07/30/2019] [Indexed: 11/29/2022] Open
Abstract
In order to provide a more valuable means of examination, treatment and rehabilitation for patients with chronic diseases by using the intelligent motion control training system, simple obesity, diabetes mellitus, heart disease, hypertension and other four types of chronic diseases with the highest incidence of diseases are taken as the research object. Several patients with each disease are randomly divided into two or three groups to explore the importance of intelligent motor intervention system for patients with chronic diseases during examination, treatment and rehabilitation. The results show that the disease indicators of chronic diseases participated in by intelligent exercise intervention system are improved and decreased in different research diseases. In addition, the intelligent motion intervention system has realized the whole function through four stages: requirement analysis, function design, system implementation and system testing. Finally, it is verified that its function and performance can meet people's needs and achieve the desired goals. At the same time, it provides useful reference for standardizing drug use behavior, improving drug efficacy, reducing adverse reactions, and improving the level of clinical treatment. Thus, under the intervention of intelligent motor system based on K-proximity algorithm, rehabilitation treatment of chronic diseases can not only reduce the physical and mental discomfort of patients, quickly restore their health, but also reduce the pain of patients, reduce anxiety, improve patient satisfaction, shorten the diagnosis and treatment time and reduce the cost of examination, which has obvious improvement effect. Therefore, this study is of great significance for providing a more valuable means of examination, treatment and rehabilitation for patients with chronic diseases.
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Affiliation(s)
- Lina Xie
- Hunan international economics university, Hunan 410203, China.
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12
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Glechner A, Keuchel L, Affengruber L, Titscher V, Sommer I, Matyas N, Wagner G, Kien C, Klerings I, Gartlehner G. Effects of lifestyle changes on adults with prediabetes: A systematic review and meta-analysis. Prim Care Diabetes 2018; 12:393-408. [PMID: 30076075 DOI: 10.1016/j.pcd.2018.07.003] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 05/14/2018] [Accepted: 07/01/2018] [Indexed: 01/19/2023]
Abstract
AIMS To assess the efficacy, safety, and cost-effectiveness of lifestyle intervention, compared with treatment as usual in people with prediabetes as defined by the American Diabetes Association. For older studies, we used the 1985 World Health Organization definition. METHODS We systematically searched multiple electronic databases and referenced lists of pertinent review articles from January 1980 through November 2015. We performed an update search in MEDLINE on April 26, 2017. Based on a priori established eligibility criteria, we dually reviewed the literature, extracted data, and rated the risk of bias of included studies with validated checklists. To assess the efficacy of lifestyle intervention to prevent or delay further progression to type 2 diabetes, we conducted a random-effects meta-analysis. We assessed the certainty of evidence using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. RESULT Pooled results of 16 randomized controlled trials showed that people with prediabetes who received lifestyle intervention had a lower rate of progression to type 2 diabetes after one (4% vs. 10%, RR 0.46 [CI 0.32, 0.66]) and three years of follow-up (14% vs. 23%, RR 0.64 [95% CI 0.53, 0.77]). The majority of the studies also showed a greater weight loss in lifestyle intervention participants, with a great variation between studies. Costs per quality-adjusted life-year were lower when the benefits of lifestyle intervention were analyzed over a lifelong time horizon compared to only the period of lifestyle intervention (three years) or to modeling over a ten-year period. CONCLUSION Lifestyle intervention is an efficacious, safe, and cost-effective measure to reduce the risk of progression to type 2 diabetes in people diagnosed with prediabetes. More research is necessary to compare the efficacy of various modes, frequencies, and intensities of lifestyle intervention across studies.
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Affiliation(s)
- Anna Glechner
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria.
| | | | - Lisa Affengruber
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Viktoria Titscher
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Isolde Sommer
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Nina Matyas
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Gernot Wagner
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Christina Kien
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Irma Klerings
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria
| | - Gerald Gartlehner
- Danube University Krems, Department for Evidence-based Medicine and Clinical Epidemiology, Austria; Research Triangle Institute (RTI) International, USA
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Bombak AE, Riediger ND, Bensley J, Ankomah S, Mudryj A. A systematic search and critical thematic, narrative review of lifestyle interventions for the prevention and management of diabetes. CRITICAL PUBLIC HEALTH 2018. [DOI: 10.1080/09581596.2018.1516033] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Andrea E. Bombak
- Department of Sociology, University of New Brunswick, Fredericton, Canada
- School of Health Sciences, Central Michigan University, Mt Pleasant, MI, USA
| | - Natalie D. Riediger
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Canada
- Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Jackson Bensley
- School of Health Sciences, Central Michigan University, Mt Pleasant, MI, USA
| | - Samuel Ankomah
- School of Health Sciences, Central Michigan University, Mt Pleasant, MI, USA
| | - Adriana Mudryj
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Canada
- Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
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14
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Zhang X, Devlin HM, Smith B, Imperatore G, Thomas W, Lobelo F, Ali MK, Norris K, Gruss S, Bardenheier B, Cho P, Garcia de Quevedo I, Mudaliar U, Jones CD, Durthaler JM, Saaddine J, Geiss LS, Gregg EW. Effect of lifestyle interventions on cardiovascular risk factors among adults without impaired glucose tolerance or diabetes: A systematic review and meta-analysis. PLoS One 2017; 12:e0176436. [PMID: 28493887 PMCID: PMC5426619 DOI: 10.1371/journal.pone.0176436] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 04/10/2017] [Indexed: 02/07/2023] Open
Abstract
Structured lifestyle interventions can reduce diabetes incidence and cardiovascular disease (CVD) risk among persons with impaired glucose tolerance (IGT), but it is unclear whether they should be implemented among persons without IGT. We conducted a systematic review and meta-analyses to assess the effectiveness of lifestyle interventions on CVD risk among adults without IGT or diabetes. We systematically searched MEDLINE, EMBASE, CINAHL, Web of Science, the Cochrane Library, and PsychInfo databases, from inception to May 4, 2016. We selected randomized controlled trials of lifestyle interventions, involving physical activity (PA), dietary (D), or combined strategies (PA+D) with follow-up duration ≥12 months. We excluded all studies that included individuals with IGT, confirmed by 2-hours oral glucose tolerance test (75g), but included all other studies recruiting populations with different glycemic levels. We stratified studies by baseline glycemic levels: (1) low-range group with mean fasting plasma glucose (FPG) <5.5mmol/L or glycated hemoglobin (A1C) <5.5%, and (2) high-range group with FPG ≥5.5mmol/L or A1C ≥5.5%, and synthesized data using random-effects models. Primary outcomes in this review included systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), and triglycerides (TG). Totally 79 studies met inclusion criteria. Compared to usual care (UC), lifestyle interventions achieved significant improvements in SBP (-2.16mmHg[95%CI, -2.93, -1.39]), DBP (-1.83mmHg[-2.34, -1.31]), TC (-0.10mmol/L[-0.15, -0.05]), LDL-C (-0.09mmol/L[-0.13, -0.04]), HDL-C (0.03mmol/L[0.01, 0.04]), and TG (-0.08mmol/L[-0.14, -0.03]). Similar effects were observed among both low-and high-range study groups except for TC and TG. Similar effects also appeared in SBP and DBP categories regardless of follow-up duration. PA+D interventions had larger improvement effects on CVD risk factors than PA alone interventions. In adults without IGT or diabetes, lifestyle interventions resulted in significant improvements in SBP, DBP, TC, LDL-C, HDL-C, and TG, and might further reduce CVD risk.
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Affiliation(s)
- Xuanping Zhang
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- * E-mail:
| | - Heather M. Devlin
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Bryce Smith
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - William Thomas
- Office of Public Health Scientific Services, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Felipe Lobelo
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Keri Norris
- Health Policy and Administration, Fulton-DeKalb Hospital Authority, Atlanta, Georgia, United States of America
| | - Stephanie Gruss
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Barbara Bardenheier
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Pyone Cho
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Isabel Garcia de Quevedo
- Office on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Uma Mudaliar
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - Christopher D. Jones
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jeffrey M. Durthaler
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jinan Saaddine
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Linda S. Geiss
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Edward W. Gregg
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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15
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Zhang X, Imperatore G, Thomas W, Cheng YJ, Lobelo F, Norris K, Devlin HM, Ali MK, Gruss S, Bardenheier B, Cho P, Garcia de Quevedo I, Mudaliar U, Saaddine J, Geiss LS, Gregg EW. Effect of lifestyle interventions on glucose regulation among adults without impaired glucose tolerance or diabetes: A systematic review and meta-analysis. Diabetes Res Clin Pract 2017; 123:149-164. [PMID: 28024276 PMCID: PMC6625761 DOI: 10.1016/j.diabres.2016.11.020] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 11/16/2016] [Accepted: 11/26/2016] [Indexed: 12/31/2022]
Abstract
This study systematically assessed the effectiveness of lifestyle interventions on glycemic indicators among adults (⩾18years) without IGT or diabetes. Randomized controlled trials using physical activity (PA), diet (D), or their combined strategies (PA+D) with follow-up ⩾12months were systematically searched from multiple electronic-databases between inception and May 4, 2016. Outcome measures included fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), fasting insulin (FI), homeostasis model assessment-estimated insulin resistance (HOMA-IR), and bodyweight. Included studies were divided into low-range (FPG <5.5mmol/L or HbA1c <5.5%) and high-range (FPG ⩾5.5mmol/L or HbA1c ⩾5.5%) groups according to baseline glycemic levels. Seventy-nine studies met inclusion criteria. Random-effect models demonstrated that compared with usual care, lifestyle interventions achieved significant reductions in FPG (-0.14mmol/L [95%CI, -0.19, -0.10]), HbA1c (-0.06% [-0.09, -0.03]), FI (%change: -15.18% [-20.01, -10.35]), HOMA-IR (%change: -22.82% [-29.14, -16.51]), and bodyweight (%change: -3.99% [-4.69, -3.29]). The same effect sizes in FPG reduction (0.07) appeared among both low-range and high-range groups. Similar effects were observed among all groups regardless of lengths of follow-up. D and PA+D interventions had larger effects on glucose reduction than PA alone. Lifestyle interventions significantly improved FPG, HbA1c, FI, HOMA-IR, and bodyweight among adults without IGT or diabetes, and might reduce progression of hyperglycemia to type 2 diabetes mellitus.
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Affiliation(s)
- Xuanping Zhang
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - William Thomas
- Office of Public Health Scientific Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Yiling J Cheng
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Felipe Lobelo
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Keri Norris
- Health Policy and Administration, Fulton-DeKalb Hospital Authority, Atlanta, GA, USA.
| | - Heather M Devlin
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Stephanie Gruss
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Barbara Bardenheier
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Pyone Cho
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Isabel Garcia de Quevedo
- Office on Smoking and Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Uma Mudaliar
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Jinan Saaddine
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Linda S Geiss
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Edward W Gregg
- Division of Diabetes Translation, National Centers for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
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16
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Roberts NJ, Kidd L, Dougall N, Patel IS, McNarry S, Nixon C. Measuring patient activation: The utility of the Patient Activation Measure within a UK context-Results from four exemplar studies and potential future applications. PATIENT EDUCATION AND COUNSELING 2016; 99:1739-1746. [PMID: 27217050 DOI: 10.1016/j.pec.2016.05.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 05/05/2016] [Accepted: 05/08/2016] [Indexed: 06/05/2023]
Abstract
OBJECTIVE Patient activation can be measured using the Patient Activation Measure (PAM) developed by Hibbard et al., however, little is known about the uses of the PAM in research and in practice. This study aims to explore its differing utility in four UK exemplar sites. METHODS Data from four exemplars in a range of health settings with people living with long-term conditions (i.e. stroke or COPD) were evaluated. PAM scores were described and explored in relation to clinical and sociodemographic variables and outcome measures. RESULTS PAM scores illustrated that most with COPD or stroke reported PAM levels of 3 or 4, indicating that they are engaging, but may need help to sustain their scores. The exemplars illustrate the utility of, and potential issues involved in, using PAM as a process/outcome measure to predict activation and the effectiveness of interventions, and as a tool to inform tailoring of targeted interventions. CONCLUSIONS The PAM tool has been shown to be useful as an outcome measure, a screening tool to tailor education, or a quality indicator for delivery of care. PRACTICE IMPLICATIONS However good demographic and patient history are needed to substantiate PAM scores. Further work is needed to monitor PAM prospectively.
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Affiliation(s)
- N J Roberts
- Institute for Applied Health Research, School of Health and Life Sciences Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK.
| | - L Kidd
- School of Nursing & Midwifery, Robert Gordon University, Garthdee Road, Aberdeen AB10 7QG, UK
| | - N Dougall
- Nursing Midwifery and Allied Health Professions Research Unit School of Health Sciences, University of Stirling, Unit 13 Scion House, Stirling FK9 4NF, UK
| | - I S Patel
- King's Health Partners Academic Health Sciences Centre, London, UK
| | - S McNarry
- Pulmonary Rehabilitation, Edinburgh Community Health Partnership, NHS Lothian, UK
| | - C Nixon
- Co-creating Health Project Team, Ayrshire Central General Hospital, Irvine KA12 8SS, UK
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