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Hormenu T, Salifu I, Antiri EO, Paku JE, Arthur AR, Nyane B, Ableh EA, Gablah AMH, Banson C, Amoah S, Ishimwe MCS, Mugeni R. Risk factors for cardiometabolic health in Ghana: Cardiometabolic Risks Study Protocol-APTI Project. Front Endocrinol (Lausanne) 2024; 15:1337895. [PMID: 39296721 PMCID: PMC11408207 DOI: 10.3389/fendo.2024.1337895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 08/20/2024] [Indexed: 09/21/2024] Open
Abstract
Introduction Cardiometabolic diseases are rapidly becoming primary causes of death in developing countries, including Ghana. However, risk factors for these diseases, including obesity phenotype, and availability of cost-effective diagnostic criteria are poorly documented in an African-ancestry populations in their native locations. The extent to which the environment, occupation, geography, stress, and sleep habits contribute to the development of Cardiometabolic disorders should be examined. Purpose The overall goal of this study is to determine the prevalence of undiagnosed diabetes, prediabetes, and associated cardiovascular risks using a multi-sampled oral glucose tolerance test. The study will also investigate the phenotype and ocular characteristics of diabetes and prediabetes subgroups, as well as determine if lifestyle changes over a one-year period will impact the progression of diabetes and prediabetes. Methods and analysis The study employs a community-based quasi-experimental design, making use of pre- and post-intervention data, as well as a questionnaire survey of 1200 individuals residing in the Cape Coast metropolis to ascertain the prevalence and risk factors for undiagnosed diabetes and prediabetes. Physical activity, dietary habits, stress levels, sleep patterns, body image perception, and demographic characteristics will be assessed. Glucose dysregulation will be detected using oral glucose tolerance test, fasting plasma glucose, and glycated hemoglobin. Liver and kidney function will also be assessed. Diabetes and prediabetes will be classified using the American Diabetes Association criteria. Descriptive statistics, including percentages, will be used to determine the prevalence of undiagnosed diabetes and cardiovascular risks. Inferential statistics, including ANOVA, t-tests, chi-square tests, ROC curves, logistic regression, and linear mixed model regression will be used to analyze the phenotypic variations in the population, ocular characteristics, glycemic levels, sensitivity levels of diagnostic tests, etiological cause of diabetes in the population, and effects of lifestyle modifications, respectively. Additionally, t-tests will be used to assess changes in glucose regulation biomarkers after lifestyle modifications. Ethics and dissemination Ethics approval was granted by the Institutional Review Board of the University of Cape Coast, Ghana (UCCIRB/EXT/2022/27). The findings will be disseminated in community workshops, online learning platforms, academic conferences and submitted to peer-reviewed journals for publication.
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Affiliation(s)
- Thomas Hormenu
- Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
| | - Iddrisu Salifu
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
| | - Ebenezer Oduro Antiri
- Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
| | - Juliet Elikem Paku
- Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
| | - Aaron Rudolf Arthur
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
- Centre for Coastal Management-Africa Centre of Excellence in Coastal Management, Cape Coast, Ghana
| | - Benjamin Nyane
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
- Directorate of University Hospital, University of Cape Coast, Cape Coast, Ghana
| | - Eric Awlime Ableh
- Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
| | - Augustine Mac-Hubert Gablah
- Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast, Ghana
- Cardiometabolic Epidemiology Research Laboratory, University of Cape Coast, Cape Coast, Ghana
| | - Cecil Banson
- Directorate of University Hospital, University of Cape Coast, Cape Coast, Ghana
| | - Samuel Amoah
- Centre for Coastal Management-Africa Centre of Excellence in Coastal Management, Cape Coast, Ghana
| | | | - Regine Mugeni
- Kibagabaga Level Two Teaching Hospital, Rwanda Ministry of Health, Kigali, Rwanda
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Liu X, Jiang T, Jiang Y, Li L, Cao Y. Prevalence of mild cognitive impairment and modifiable risk factors: A cross-sectional study in rural older adults with diabetes. Geriatr Nurs 2024; 59:549-556. [PMID: 39153464 DOI: 10.1016/j.gerinurse.2024.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 07/15/2024] [Accepted: 08/05/2024] [Indexed: 08/19/2024]
Abstract
To determine the prevalence and modifiable risk factors for MCI in older adults with T2DM in rural China. This cross-sectional study encompassed 96 villages, employing a cluster sampling approach to recruit eligible older adults with T2DM as study participants. Logistic regression analysis was utilized to identify modifiable risk factors associated with MCI. Average marginal effects were calculated. The discriminatory performance of these risk factors in identifying MCI was evaluated by plotting the receiver operating curve and calculating the value of the area under the curve. A total of 898 older adults with T2DM in our study. The overall prevalence of MCI was 50.22 %. Independent associations with MCI were found in poor self-management ability of diabetes (OR = 0.808, 95 % CI: 0.808, 0.766), depressive symptoms (OR = 3.500, 95 % CI: 1.933, 6.337), moderate (OR = 0.936, 95 % CI: 0.017, 0.075) and high (OR = 0.939, 95 % CI: 0.016, 0.100) levels of physical activity, poorer oral health (OR = 2.660, 95 % CI: 2.226, 3.179), and lower grip strength (OR = 0.913, 95 % CI: 0.870, 0.958). The AUC was 0.967 (95 % CI 0.508-0.470). The prevalence of MCI was high among older adults with T2DM in rural areas of China. The self-management ability of diabetes, depressive symptoms, physical activity, oral health and grip strength were modifiable risk factors of MCI. Targeted interventions should be developed and implemented to address these modifiable risk factors, aiming to enhance cognitive function and mitigate the incidence of MCI in older adults with T2DM.
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Affiliation(s)
- Xueyan Liu
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China
| | - Tianshu Jiang
- Center for Economic Research, Shandong University, 27 Shanda Nanlu, Licheng District, Jinan, Shandong Province, PR China
| | - Yuanyuan Jiang
- Department of Nursing, Qilu Hospital, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China; Nursing Theory and Practice Innovation Research Center, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China
| | - Li Li
- Department of Nursing, Qilu Hospital, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China; Nursing Theory and Practice Innovation Research Center, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China
| | - Yingjuan Cao
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China; Department of Nursing, Qilu Hospital, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China; Nursing Theory and Practice Innovation Research Center, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, PR China.
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Jiang X, Jiang H, Li M. The Role of Self-Efficacy Enhancement in Improving Self-Management Behavior for Type 2 Diabetes Mellitus Patients. Diabetes Metab Syndr Obes 2024; 17:3131-3138. [PMID: 39193548 PMCID: PMC11348925 DOI: 10.2147/dmso.s460864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 08/19/2024] [Indexed: 08/29/2024] Open
Abstract
Background The effectiveness of a self-efficacy-focused structured education program for patients with diabetes mellitus has been verified. However, changes in self-efficacy for the behavior change mechanism in patients who participated in the program require clarification. Aim To analyze the mechanism of self-management behavioral variations in patients with type 2 diabetes mellitus who underwent a self-efficacy-focused structured education program. Methods A secondary analysis of patients who received a self-efficacy-focused structured education program was conducted using data from a multicenter randomized controlled trial. The relationships among the 3-, 6-, and 12-month changes in diabetes knowledge, self-efficacy, diabetes distress, and self-management behaviors in patients with type 2 diabetes mellitus were studied using a structural equation model. Results Enhancement of self-efficacy among patients receiving a self-efficacy-focused structured education program directly influenced improvements in self-management behaviors at 3, 6 and 12 months. The increase in diabetes knowledge directly and indirectly improved self-management behaviors at 3 months, but the direct effect on behavior disappeared at 6 months and the indirect effect on behavior by enhancing self-efficacy only lasted until 6 months. The decrease in diabetes distress directly influenced improvement in self-management behaviors at 3 months. While it did not directly influence self-management behavior improvement at 6 and 12 months, it indirectly affected behavior improvement by enhancing self-efficacy. Conclusion The enhancement of self-efficacy plays a core role in improving and maintaining self-management behaviors in patients with type 2 diabetes mellitus who receive self-efficacy-focused structured education programs. Patients' behaviors can be improved by gaining more diabetes knowledge and mitigating diabetes distress at the 3- and 6-month follow-up. Improvements in behaviors at the 12-month follow-up could be achieved by mitigating diabetes distress.
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Affiliation(s)
- Xinjun Jiang
- International Nursing School, Hainan Medical University, Haikou, Hainan, People’s Republic of China
| | - Hua Jiang
- School of Nursing, Peking University, Beijing, People’s Republic of China
| | - Mingzi Li
- School of Nursing, Peking University, Beijing, People’s Republic of China
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Chowdhury HA, Harrison CL, Siddiquea BN, Tissera S, Afroz A, Ali L, Joham AE, Billah B. The effectiveness of diabetes self-management education intervention on glycaemic control and cardiometabolic risk in adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis. PLoS One 2024; 19:e0297328. [PMID: 38306363 PMCID: PMC10836683 DOI: 10.1371/journal.pone.0297328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/01/2024] [Indexed: 02/04/2024] Open
Abstract
Diabetes mellitus (DM) poses a significant challenge to public health. Effective diabetes self-management education (DSME) interventions may play a pivotal role in the care of people with type 2 diabetes mellitus (T2DM) in low- and middle-income countries (LMICs). A specific up-to-date systematic review is needed to assess the effect of DSME interventions on glycaemic control, cardiometabolic risk, self-management behaviours, and psychosocial well-being among T2DM across LMICs. The MEDLINE, Embase, CINAHL, Global Health, and Cochrane databases were searched on 02 August 2022 and then updated on 10 November 2023 for published randomised controlled trials (RCTs) and quasi-experimental studies. The quality of the studies was assessed, and a random-effect model was used to estimate the pooled effect of diabetes DSME intervention. Heterogeneity (I2) was tested, and subgroup analyses were performed. Egger's regression test and funnel plots were used to examine publication bias. The risk of bias of the included studies was assessed using the Cochrane risk-of-bias tool for randomized trial (RoB 2). The overall assessment of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation approach. A total of 5893 articles were retrieved, and 44 studies (n = 11838) from 21 LMICs met the inclusion criteria. Compared with standard care, pooled analysis showed that DSME effectively reduced the HbA1c level by 0.64% (95% CI: 0.45% to 0.83%) and 1.27% (95% CI: -0.63% to 3.17%) for RCTs and quasi-experimental design studies, respectively. Further, the findings showed an improvement in cardiometabolic risk reduction, diabetes self-management behaviours, and psychosocial well-being. This review suggests that ongoing support alongside individualised face-to-face intervention delivery is favourable for improving overall T2DM management in LMICs, with a special emphasis on countries in the lowest income group.
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Affiliation(s)
- Hasina Akhter Chowdhury
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Centre for Injury Prevention and Research, Bangladesh (CIPRB), Dhaka, Bangladesh
| | - Cheryce L. Harrison
- Monash Centre for Health Research and Implementation–MCHRI, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bodrun Naher Siddiquea
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sanuki Tissera
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Afsana Afroz
- Department of Biochemistry and Pharmacology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Liaquat Ali
- Pothikrit Institute of Health Studies (PIHS), Dhaka, Bangladesh
| | - Anju E. Joham
- Monash Centre for Health Research and Implementation–MCHRI, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Departments of Endocrinology and Diabetes, Monash Health, Melbourne, Australia
| | - Baki Billah
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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