1
|
Jiang S, Pan X, Li H, Su Y. Global trends and developments in mindfulness interventions for diabetes: a bibliometric study. Diabetol Metab Syndr 2024; 16:43. [PMID: 38360701 PMCID: PMC10870632 DOI: 10.1186/s13098-024-01288-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/08/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Diabetes is a metabolic disorder posing a global threat to health. Many scholars are dedicated to developing non-pharmacological therapies, and mindfulness intervention is among the potentially effective approaches. Due to the rapid increase in relevant research in recent years, along with the diverse focus and interventions used in studies, it has become challenging for practitioners to quickly comprehend the key features of this field and the directions worth paying attention to. Bibliometric analysis, in response, can help scholars understand this field and identify points of interest. METHODS Publications related to mindfulness intervention in diabetes from the establishment of the Web of Science Core Collection (WOSCC) to September 2023 were searched. We employed four bibliometric techniques: General Analysis of Publications, Collaborative Network Analysis, Co-citation Analysis, and Keyword Analysis. The CiteSpace 6.1.R was used to analyze the literature with the strongest citation bursts, while VOSviewer 1.6.13 was used to provide visualizations of publicly available data by analyzing co-citations or co-authorship affiliations. RESULTS We found a total of 387 articles. The results indicate that research on this topic has been steadily increasing over time. The United States is the top producer of relevant publications, with Tilburg University being the institution that publishes the most articles. The journal "Mindfulness" has the highest publication count. In the collaborative network analysis, the United States emerged as the main hub for global cooperation in this research field, contributing 182 articles with a total of 5872 citations. The journal "Diabetes Care" was frequently cited and played a central role. The keyword analysis revealed that researchers have shown a strong interest in how mindfulness interventions affect the mental health of diabetic individuals. Additionally, there is a focus on studying elderly diabetic groups and exploring how mindfulness interventions impact metabolic diseases. These areas are currently the main research priorities. CONCLUSION Our findings demonstrate the current trend and hotspots in mindfulness intervention and offer some directions for future research.
Collapse
Affiliation(s)
- Sijia Jiang
- College of Physical Education, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Xiaoli Pan
- Institute of Sport Science, College of Physical Education, Southwest University, Chongqing, China
| | - Hansen Li
- Institute of Sport Science, College of Physical Education, Southwest University, Chongqing, China
| | - Yuqin Su
- Institute of Sport Science, College of Physical Education, Southwest University, Chongqing, China.
| |
Collapse
|
2
|
Llamas-Saez C, Saez-Vaquero T, Jiménez-García R, López-de-Andrés A, Carabantes-Alarcón D, Zamorano-León JJ, Cuadrado-Corrales N, Pérez-Farinos N, Wärnberg J. Cross Sectional and Case-Control Study to Assess Time Trend, Gender Differences and Factors Associated with Physical Activity among Adults with Diabetes: Analysis of the European Health Interview Surveys for Spain (2014 & 2020). J Clin Med 2023; 12:jcm12062443. [PMID: 36983443 PMCID: PMC10057052 DOI: 10.3390/jcm12062443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/16/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
(1) Background: We aim to assess the time trend from 2014 to 2020 in the prevalence of physical activity (PA), identify gender differences and sociodemographic and health-related factors associated with PA among people with diabetes, and compare PA between people with and without diabetes. (2) Methods: We conducted a cross-sectional and a case-control study using as data source the European Health Interview Surveys for Spain (EHISS) conducted in years 2014 and 2020. The presence of diabetes and PA were self-reported. Covariates included socio-demographic characteristics, health-related variables, and lifestyles. To compare people with and without diabetes, we matched individuals by age and sex. (3) Results: The number of participants aged ≥18 years with self-reported diabetes were 1852 and 1889 in the EHISS2014 and EHISS2020, respectively. The proportion of people with diabetes that had a medium or high frequency of PA improved from 48.3% in 2014 to 52.6% in 2020 (p = 0.009), with 68.5% in 2014 and 77.7% in 2020 being engaged in two or more days of PA (p < 0.001). Males with diabetes reported more PA than females with diabetes in both surveys. After matching by age and gender, participants with diabetes showed significantly lower engagement in PA than those without diabetes. Among adults with diabetes, multivariable logistic regression showed confirmation that PA improved significantly from 2014 to 2020 and that male sex, higher educational level, and better self-rated health were variables associated to more PA. However, self-reported comorbidities, smoking, or BMI > 30 were associated to less PA. (4) Conclusions: The time trend of PA among Spanish adults with diabetes is favorable but insufficient. The prevalence of PA in this diabetes population is low and does not reach the levels of the general population. Gender differences were found with significantly more PA among males with diabetes. Our result could help to improve the design and implementation of public health strategies to improve PA among people with diabetes.
Collapse
Affiliation(s)
- Carlos Llamas-Saez
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | | | - Rodrigo Jiménez-García
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | - Ana López-de-Andrés
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | - David Carabantes-Alarcón
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | - José J Zamorano-León
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | - Natividad Cuadrado-Corrales
- Department of Public Health and Maternal & Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain
| | - Napoleón Pérez-Farinos
- Epi-PHAAN Research Group, School of Medicine, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071 Málaga, Spain
| | - Julia Wärnberg
- Epi-PHAAN Research Group, School of Health Sciences, Universidad de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29071 Málaga, Spain
| |
Collapse
|
3
|
Xu XY, Leung AYM, Smith R, Wong JYH, Chau PH, Fong DYT. The relative risk of developing type 2 diabetes among individuals with prediabetes compared with individuals with normoglycaemia: Meta‐analysis and meta‐regression. J Adv Nurs 2020; 76:3329-3345. [DOI: 10.1111/jan.14557] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/16/2020] [Accepted: 07/24/2020] [Indexed: 01/21/2023]
Affiliation(s)
- Xin Yi Xu
- School of Nursing Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Hong Kong
- School of Nursing Faculty of Health and Social Science The Hong Kong Polytechnic University Hong Kong Hong Kong
| | - Angela Yee Man Leung
- School of Nursing Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Hong Kong
- School of Nursing Faculty of Health and Social Science The Hong Kong Polytechnic University Hong Kong Hong Kong
| | - Robert Smith
- School of Nursing Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Hong Kong
| | - Janet Yuen Ha Wong
- School of Nursing Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Hong Kong
| | - Pui Hing Chau
- School of Nursing Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Hong Kong
| | - Daniel Yee Tak Fong
- School of Nursing Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Hong Kong
| |
Collapse
|
4
|
Lee PN, Coombs KJ. Systematic review with meta-analysis of the epidemiological evidence relating smoking to type 2 diabetes. World J Meta-Anal 2020; 8:119-152. [DOI: 10.13105/wjma.v8.i2.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/02/2020] [Accepted: 04/20/2020] [Indexed: 02/06/2023] Open
|
5
|
Rojo-Martínez G, Valdés S, Soriguer F, Vendrell J, Urrutia I, Pérez V, Ortega E, Ocón P, Montanya E, Menéndez E, Lago-Sampedro A, González-Frutos T, Gomis R, Goday A, García-Serrano S, García-Escobar E, Galán-García JL, Castell C, Badía-Guillén R, Aguilera-Venegas G, Girbés J, Gaztambide S, Franch-Nadal J, Delgado E, Chaves FJ, Castaño L, Calle-Pascual A. Incidence of diabetes mellitus in Spain as results of the nation-wide cohort di@bet.es study. Sci Rep 2020; 10:2765. [PMID: 32066839 PMCID: PMC7026031 DOI: 10.1038/s41598-020-59643-7] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 01/28/2020] [Indexed: 12/22/2022] Open
Abstract
Our aim was to determine the incidence of type 2 diabetes mellitus in a nation-wide population based cohort from Spain (di@bet.es study). The target was the Spanish population. In total 5072 people older than 18 years,were randomly selected from all over Spain). Socio-demographic and clinical data, survey on habits (physical activity and food consumption) and weight, height, waist, hip and blood pressure were recorder. A fasting blood draw and an oral glucose tolerance test were performed. Determinations of serum glucose were made. In the follow-up the same variables were collected and HbA1c was determined. A total of 2408 subjects participated in the follow-up. In total, 154 people developed diabetes (6.4% cumulative incidence in 7.5 years of follow-up). The incidence of diabetes adjusted for the structure of age and sex of the Spanish population was 11.6 cases/1000 person-years (IC95% = 11.1–12.1). The incidence of known diabetes was 3.7 cases/1000 person-years (IC95% = 2.8–4.6). The main risk factors for developing diabetes were the presence of prediabetes in cross-sectional study, age, male sex, obesity, central obesity, increase in weight, and family history of diabetes. This work provides data about population-based incidence rates of diabetes and associated risk factors in a nation-wide cohort of Spanish population.
Collapse
Affiliation(s)
- G Rojo-Martínez
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain. .,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain.
| | - S Valdés
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - F Soriguer
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - J Vendrell
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, University Hospital Joan XXIII, Pere Virgili Institute (IISPV), Rovira I Virgili University, Tarragona, Spain
| | - I Urrutia
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - V Pérez
- General Laboratory. Regional University Hospital of Malaga, Malaga, Spain
| | - E Ortega
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain.,Spanish Biomedical Research Network in physiopathology of obesity and Nutrition (CIBEROBN), Barcelona, Spain
| | - P Ocón
- General Laboratory. Regional University Hospital of Malaga, Malaga, Spain
| | - E Montanya
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), University of Barcelona, Bellvitge University Hospital, Barcelona, Spain
| | - E Menéndez
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - A Lago-Sampedro
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - T González-Frutos
- Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain
| | - R Gomis
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, Barcelona, Spain
| | - A Goday
- Spanish Biomedical Research Network in physiopathology of obesity and Nutrition (CIBEROBN), Barcelona, Spain.,Department of Endocrinology and Nutrition, Hospital del Mar, IMIM. Universitat Autònoma, Barcelona, Spain
| | - S García-Serrano
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - E García-Escobar
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | - J L Galán-García
- Department of Applied Mathematics, Malaga University, Malaga, Spain
| | - C Castell
- Department of Health, Public Health Agency of Catalonia, Barcelona, Spain
| | - R Badía-Guillén
- Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, Malaga, Spain
| | | | - J Girbés
- Diabetes Unit, Hospital Arnau of Vilanova, Valencia, Spain
| | - S Gaztambide
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain
| | - J Franch-Nadal
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,EAP Raval Sud, Catalan Institute of Health, GEDAPS Network, Primary Care, Research support unit (IDIAP - Jordi Gol Foundation), Barcelona, Spain
| | - E Delgado
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain.,Department of Endocrinology and Nutrition, Central University Hospital of Asturias/University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), Oviedo, Spain
| | - F J Chaves
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Genomic and Genetic Diagnosis Unit, Research Foundation of Valencia University Clinical Hospital-INCLIVA, Valencia, Spain
| | - L Castaño
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Cruces University Hospital, Biocruces Bizkaia Health Research Institute, UPV/EHU, Barakaldo, Spain.,Spanish Biomedical Research Network in Rare Diseases (CIBERER), Madrid, Spain
| | - A Calle-Pascual
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain.,Department of Endocrinology and Nutrition, University Hospital S. Carlos of Madrid, Madrid, Spain
| |
Collapse
|
6
|
Chireh B, D’Arcy C. Shared and unique risk factors for depression and diabetes mellitus in a longitudinal study, implications for prevention: an analysis of a longitudinal population sample aged ⩾45 years. Ther Adv Endocrinol Metab 2019; 10:2042018819865828. [PMID: 31384422 PMCID: PMC6659182 DOI: 10.1177/2042018819865828] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 07/04/2019] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE The objective of this study was to examine shared and unique risk factors for incident depression and diabetes mellitus in a national longitudinal population-based survey. METHODS Canadian National Population Health Survey (NPHS) longitudinal study was used. A subsample of the initial NPHS sample (n = 4845), free of depression or diabetes mellitus at baseline was tracked over a 10-year period. Univariate and multivariate modified Poisson regression models were used to estimate the relative risk (RR). Stratified analyses by sex were conducted to measure its moderating role. The goodness-of-fit of the various models was tested. RESULTS The cumulative incidence rate of major depressive disorder and incident diabetes mellitus at 10-year follow-up were 4.1% and 10.1% respectively. Hypertension, daily smoking, physical inactivity and being overweight or obese were shared risk factors for major depressive episode and diabetes mellitus. Being female, family stress, traumatic events, having any chronic disease or heart disease were uniquely associated with depression while increasing age and ethnicity (non-white) were unique risk factors for diabetes mellitus. Also, underweight, family stress, chronic disease, and heart disease were risk factors for major depressive disorder in both sexes. Six risk factors, age, ethnicity (non-white), high blood pressure, daily smoking, physical inactivity, and body mass index were associated with incident diabetes mellitus in both sexes. CONCLUSION We found common risk behaviors/conditions not specific to either diabetes mellitus or depression. These risks have also been implicated in the development of a variety of chronic diseases. These findings underline the importance of public health prevention programs targeting generic risk behaviors.
Collapse
Affiliation(s)
- Batholomew Chireh
- School of Public Health, University of
Saskatchewan, 104 Clinic Place, Saskatoon, SK, S7N 2Z4, Canada
| | - Carl D’Arcy
- School of Public Health and Department of
Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada
| |
Collapse
|
7
|
Vazquez LA, Calvo-Bonacho E, Reviriego J, García-Margallo T, Caveda E, Goday A. Incidence of Diabetes in the Working Population in Spain: Results from the ICARIA Cohort. Diabetes Ther 2019; 10:57-69. [PMID: 30430366 PMCID: PMC6349293 DOI: 10.1007/s13300-018-0529-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Our objective was to evaluate the incidence of type 2 diabetes mellitus (T2DM) in a working population in Spain and to assess associations between its development and several risk factors. METHODS The ICARIA (Ibermutuamur CArdiovascular RIsk Assessment) cohort (n = 627,523) includes ~3% of Spanish workers. This analysis was undertaken in individuals whose glycaemic status during the index period (May 2004-December 2007) was determined to be normal or indicative of prediabetes [fasting plasma glucose (FPG) 100-125 mg/dl] and who had at least one FPG measurement taken 9 months after a first measurement during follow-up (May 2004-June 2014) (n = 380,366). T2DM patients were defined as those with an FPG ≥ 126 mg/day and those who had already been diagnosed with T2DM or were taking antihyperglycaemic medications. RESULTS The incidence rate of T2DM was 5.0 [95% confidence interval (CI) 4.9-5.1] cases per 1000 person-years. Under multivariate logistic regression analysis, the factor showing the strongest association with the occurrence of T2DM was the baseline FPG level, with the likelihood of T2DM almost doubling for every 5 mg/dl increase in baseline FPG between 100 and < 126 mg/dl. The presence of other cardiometabolic risk factors and being a blue-collar worker were also significantly associated with the occurrence of T2DM. CONCLUSIONS The incidence of T2DM in the working population was within the range encountered in the general population and prediabetes was found to be the strongest risk factor for the development of diabetes. The workplace is an appropriate and feasible setting for the assessment of easily measurable risk factors, such as the presence of prediabetes and other cardiometabolic factors, to facilitate the early detection of individuals at higher risk of diabetes and the implementation of diabetes prevention programmes. FUNDING Eli Lilly and Co.
Collapse
Affiliation(s)
- Luis Alberto Vazquez
- Hospital Universitario Marqués de Valdecilla, Departamento de Medicina y Psiquiatría, Universidad de Cantabria, Av. Valdecilla, Santander, Spain
| | - Eva Calvo-Bonacho
- Ibermutuamur, Mutua colaboradora con la Seguridad Social, Madrid, Spain.
| | | | | | | | - Albert Goday
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| |
Collapse
|
8
|
Richter B, Hemmingsen B, Metzendorf M, Takwoingi Y. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database Syst Rev 2018; 10:CD012661. [PMID: 30371961 PMCID: PMC6516891 DOI: 10.1002/14651858.cd012661.pub2] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Intermediate hyperglycaemia (IH) is characterised by one or more measurements of elevated blood glucose concentrations, such as impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and elevated glycosylated haemoglobin A1c (HbA1c). These levels are higher than normal but below the diagnostic threshold for type 2 diabetes mellitus (T2DM). The reduced threshold of 5.6 mmol/L (100 mg/dL) fasting plasma glucose (FPG) for defining IFG, introduced by the American Diabetes Association (ADA) in 2003, substantially increased the prevalence of IFG. Likewise, the lowering of the HbA1c threshold from 6.0% to 5.7% by the ADA in 2010 could potentially have significant medical, public health and socioeconomic impacts. OBJECTIVES To assess the overall prognosis of people with IH for developing T2DM, regression from IH to normoglycaemia and the difference in T2DM incidence in people with IH versus people with normoglycaemia. SEARCH METHODS We searched MEDLINE, Embase, ClincialTrials.gov and the International Clinical Trials Registry Platform (ICTRP) Search Portal up to December 2016 and updated the MEDLINE search in February 2018. We used several complementary search methods in addition to a Boolean search based on analytical text mining. SELECTION CRITERIA We included prospective cohort studies investigating the development of T2DM in people with IH. We used standard definitions of IH as described by the ADA or World Health Organization (WHO). We excluded intervention trials and studies on cohorts with additional comorbidities at baseline, studies with missing data on the transition from IH to T2DM, and studies where T2DM incidence was evaluated by documents or self-report only. DATA COLLECTION AND ANALYSIS One review author extracted study characteristics, and a second author checked the extracted data. We used a tailored version of the Quality In Prognosis Studies (QUIPS) tool for assessing risk of bias. We pooled incidence and incidence rate ratios (IRR) using a random-effects model to account for between-study heterogeneity. To meta-analyse incidence data, we used a method for pooling proportions. For hazard ratios (HR) and odds ratios (OR) of IH versus normoglycaemia, reported with 95% confidence intervals (CI), we obtained standard errors from these CIs and performed random-effects meta-analyses using the generic inverse-variance method. We used multivariable HRs and the model with the greatest number of covariates. We evaluated the certainty of the evidence with an adapted version of the GRADE framework. MAIN RESULTS We included 103 prospective cohort studies. The studies mainly defined IH by IFG5.6 (FPG mmol/L 5.6 to 6.9 mmol/L or 100 mg/dL to 125 mg/dL), IFG6.1 (FPG 6.1 mmol/L to 6.9 mmol/L or 110 mg/dL to 125 mg/dL), IGT (plasma glucose 7.8 mmol/L to 11.1 mmol/L or 140 mg/dL to 199 mg/dL two hours after a 75 g glucose load on the oral glucose tolerance test, combined IFG and IGT (IFG/IGT), and elevated HbA1c (HbA1c5.7: HbA1c 5.7% to 6.4% or 39 mmol/mol to 46 mmol/mol; HbA1c6.0: HbA1c 6.0% to 6.4% or 42 mmol/mol to 46 mmol/mol). The follow-up period ranged from 1 to 24 years. Ninety-three studies evaluated the overall prognosis of people with IH measured by cumulative T2DM incidence, and 52 studies evaluated glycaemic status as a prognostic factor for T2DM by comparing a cohort with IH to a cohort with normoglycaemia. Participants were of Australian, European or North American origin in 41 studies; Latin American in 7; Asian or Middle Eastern in 50; and Islanders or American Indians in 5. Six studies included children and/or adolescents.Cumulative incidence of T2DM associated with IFG5.6, IFG6.1, IGT and the combination of IFG/IGT increased with length of follow-up. Cumulative incidence was highest with IFG/IGT, followed by IGT, IFG6.1 and IFG5.6. Limited data showed a higher T2DM incidence associated with HbA1c6.0 compared to HbA1c5.7. We rated the evidence for overall prognosis as of moderate certainty because of imprecision (wide CIs in most studies). In the 47 studies reporting restitution of normoglycaemia, regression ranged from 33% to 59% within one to five years follow-up, and from 17% to 42% for 6 to 11 years of follow-up (moderate-certainty evidence).Studies evaluating the prognostic effect of IH versus normoglycaemia reported different effect measures (HRs, IRRs and ORs). Overall, the effect measures all indicated an elevated risk of T2DM at 1 to 24 years of follow-up. Taking into account the long-term follow-up of cohort studies, estimation of HRs for time-dependent events like T2DM incidence appeared most reliable. The pooled HR and the number of studies and participants for different IH definitions as compared to normoglycaemia were: IFG5.6: HR 4.32 (95% CI 2.61 to 7.12), 8 studies, 9017 participants; IFG6.1: HR 5.47 (95% CI 3.50 to 8.54), 9 studies, 2818 participants; IGT: HR 3.61 (95% CI 2.31 to 5.64), 5 studies, 4010 participants; IFG and IGT: HR 6.90 (95% CI 4.15 to 11.45), 5 studies, 1038 participants; HbA1c5.7: HR 5.55 (95% CI 2.77 to 11.12), 4 studies, 5223 participants; HbA1c6.0: HR 10.10 (95% CI 3.59 to 28.43), 6 studies, 4532 participants. In subgroup analyses, there was no clear pattern of differences between geographic regions. We downgraded the evidence for the prognostic effect of IH versus normoglycaemia to low-certainty evidence due to study limitations because many studies did not adequately adjust for confounders. Imprecision and inconsistency required further downgrading due to wide 95% CIs and wide 95% prediction intervals (sometimes ranging from negative to positive prognostic factor to outcome associations), respectively.This evidence is up to date as of 26 February 2018. AUTHORS' CONCLUSIONS Overall prognosis of people with IH worsened over time. T2DM cumulative incidence generally increased over the course of follow-up but varied with IH definition. Regression from IH to normoglycaemia decreased over time but was observed even after 11 years of follow-up. The risk of developing T2DM when comparing IH with normoglycaemia at baseline varied by IH definition. Taking into consideration the uncertainty of the available evidence, as well as the fluctuating stages of normoglycaemia, IH and T2DM, which may transition from one stage to another in both directions even after years of follow-up, practitioners should be careful about the potential implications of any active intervention for people 'diagnosed' with IH.
Collapse
Affiliation(s)
- Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Bianca Hemmingsen
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupPO Box 101007DüsseldorfGermany40001
| | - Yemisi Takwoingi
- University of BirminghamInstitute of Applied Health ResearchEdgbastonBirminghamUKB15 2TT
| | | |
Collapse
|
9
|
Seclen SN, Rosas ME, Arias AJ, Medina CA. Elevated incidence rates of diabetes in Peru: report from PERUDIAB, a national urban population-based longitudinal study. BMJ Open Diabetes Res Care 2017; 5:e000401. [PMID: 28878935 PMCID: PMC5574423 DOI: 10.1136/bmjdrc-2017-000401] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 05/03/2017] [Accepted: 06/10/2017] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE A recent report from a non-nationally representative, geographically diverse sample in four separate communities in Peru suggests an unusually high diabetes incidence. We aimed to estimate the national diabetes incidence rate using PERUDIAB, a probabilistic, national urban population-based longitudinal study. RESEARCH DESIGN AND METHODS 662 subjects without diabetes, selected by multistage, cluster, random sampling of households, representing the 24 administrative and the 3 (coast, highlands and jungle) natural regions across the country, from both sexes, aged 25+ years at baseline, enrolled in 2010-2012, were followed for 3.8 years. New diabetes cases were defined as fasting blood glucose ≥126 mg/dL or on medical diabetes treatment. RESULTS There were 49 cases of diabetes in 2408 person-years follow-up. The weighted cumulative incidence of diabetes was 7.2% while the weighted incidence rate was estimated at 19.5 (95% CI 13.9 to 28.3) new cases per 1000 person-years. Older age, obesity and technical or higher education were statistically associated with the incidence of diabetes. CONCLUSION Our results confirm that the incidence of diabetes in Peru is among the highest reported globally. The fast economic growth in the last 20 years, high overweight and obesity rates may have triggered this phenomenon.
Collapse
Affiliation(s)
- Segundo Nicolas Seclen
- Diabetes, Hypertension and Lipids Unit, Institute of Gerontology, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Moises Ernesto Rosas
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Arturo Jaime Arias
- Technical Direction of Demography and Social Indicators, National Institute of Statistics and Informatics, Lima, Peru
| | | |
Collapse
|
10
|
DeJesus RS, Breitkopf CR, Rutten LJ, Jacobson DJ, Wilson PM, Sauver JS. Incidence Rate of Prediabetes Progression to Diabetes: Modeling an Optimum Target Group for Intervention. Popul Health Manag 2016; 20:216-223. [PMID: 27689627 DOI: 10.1089/pop.2016.0067] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Thirty-seven percent of US adults have prediabetes. Various interventions can delay diabetes progression; however, the optimum target group for risk reduction is uncertain. This study estimated rate of progression to diabetes at 1 and 5 years among a cohort of patients from 3 primary care clinics and modeled the potential magnitude in diabetes incidence risk reduction of an intervention program among specific subgroups. Records of 106,821 empaneled patients in 2005 were reviewed. Generalized population attributable risk (PAR) statistics were calculated to estimate the impact of reducing fasting blood glucose on diabetes progression. Multiple intervention effects (varying levels of glucose reduction along with multiple adherence rates) were examined for those with baseline glucose from 110 to 119 mg/dL and ≥120 mg/dL. Ten percent of patients (n = 10,796) met criteria for prediabetes. The 1- and 5-year diabetes incidence rate was 38.6 and 40.24 per 1000 person-years, respectively. Age and obesity were independent predictors of increased progression rate. The generalized PAR for a 10-point reduction in the 110-119 mg/dL subgroup with 25% adherence was 7.6%. The generalized PAR for similar percent reduction and adherence level in patients with baseline glucose of ≥120 mg/dL was only 3.0%. Rate of progression to diabetes increased over time and with associated independent risk factors. Greater risk reduction in diabetes progression within the target population can be achieved when the intervention is successful in those with baseline glucose of 110-119 mg/dL. Modeling an optimum target group for a diabetes prevention intervention offers a novel and useful guide to planning and allocating resources in population health management.
Collapse
Affiliation(s)
- Ramona S DeJesus
- 1 Robert D and Patricia E Kern Center for the Science of Health Care Delivery , Mayo Clinic, Rochester, Minnesota.,2 Division of Primary Care Internal Medicine, Department of Medicine, Mayo Clinic , Rochester, Minnesota
| | - Carmen Radecki Breitkopf
- 3 Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic , Rochester, Minnesota
| | - Lila J Rutten
- 1 Robert D and Patricia E Kern Center for the Science of Health Care Delivery , Mayo Clinic, Rochester, Minnesota.,4 Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic , Rochester, Minnesota
| | - Debra J Jacobson
- 5 Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic , Rochester, Minnesota
| | - Patrick M Wilson
- 5 Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic , Rochester, Minnesota
| | - Jennifer St Sauver
- 1 Robert D and Patricia E Kern Center for the Science of Health Care Delivery , Mayo Clinic, Rochester, Minnesota.,4 Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic , Rochester, Minnesota
| |
Collapse
|
11
|
Ebrahimi H, Emamian MH, Hashemi H, Fotouhi A. High Incidence of Diabetes Mellitus Among a Middle-Aged Population in Iran: A Longitudinal Study. Can J Diabetes 2016; 40:570-575. [PMID: 27476052 DOI: 10.1016/j.jcjd.2016.05.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 03/12/2016] [Accepted: 05/16/2016] [Indexed: 01/27/2023]
Abstract
OBJECTIVES There are few data concerning the incidence rates of diabetes in Iran. This study aimed to determine the incidence of diabetes and its risk factors in a middle-aged population in Iran. METHODS All of the people who participated in the first phase of the Shahroud eye cohort study were invited to the study in 2014; after signing informed consent forms, a total of 4737 people 45 to 69 years of age were enrolled in the second phase of the study (participation rate: 91.3%). The 5-year incidence rate of diabetes was determined by age and sex, and we used the binomial logistic regression model to calculate the risk ratio. RESULTS The prevalence of diabetes in the second phase was 20.19% in men, 26.45% in women and 23.89% in the total group. The 5-year incidence of diabetes was 11.19% in men, 15.55% in women and 13.73% in both sexes. With increases in age, the incidence of diabetes rose in both sexes. Age (risk ratio [RR]: 1.02; CI 95%: 1.01 to 1.03) hypertension (RR: 1.41; CI 95%: 1.15 to 1.74), being overweight (RR: 2.17; CI 95%: 1.64 to 2.88) and obesity (RR: 3.4; CI 95%: 2.53 to 4.41) were associated with increased risks for the incidence of diabetes. CONCLUSIONS This study is 1 of the few studies in Iran that has reported the incidence of diabetes. Because the incidence of diabetes was high in the studied population, it is necessary for the health system to design and implement emergency intervention to prevent further spread of diabetes and its complications.
Collapse
Affiliation(s)
- Hossein Ebrahimi
- Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Mohammad Hassan Emamian
- Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Hassan Hashemi
- Noor Ophthalmology Research Center, Noor Eye Hospital, Tehran, Iran
| | - Akbar Fotouhi
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|