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Babu BV, Hazarika CR, Raina SK, Masoodi SR, Basappa YC, Thomas N, Kerketta AS, Menon NK, Jebasingh FK. Prevalence of type 2 diabetes among tribal population of india: a multi-centric cross-sectional study. J Natl Med Assoc 2024; 116:153-164. [PMID: 38290904 DOI: 10.1016/j.jnma.2024.01.004] [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: 11/15/2023] [Revised: 12/12/2023] [Accepted: 01/02/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND The perception among healthcare workers is that the Indian tribal (indigenous) population are less affected by diabetes. This paper reports the prevalence of type 2 diabetes and its associated factors among tribal populations from six districts across India. METHODOLOGY Random blood glucose (RBG) and fasting blood glucose (FBG) were measured for 8486 and 3131 adults, respectively, with a glucose meter. FBG ≥ 126 mg/dL (7.0 mmol/L) and RBG ≥ 200 mg/dL (11.1 mmol/L) were used to diagnose diabetes. In addition, blood pressure, anthropometric (height, weight, waist and hip circumferences), socio-demographic (age, gender, education, type of tribe and type of village) and behavioural data (tobacco smoking, non-smoking tobacco use and alcohol consumption) were collected. RESULTS The overall prevalence of type 2 diabetes, based on RBG, was 4.77% (95% CI: 4.33-5.25). The prevalence of type 2 diabetes and prediabetes, based on FBG, was 6.80% (95% CI: 5.95-7.74) and 8.69% (7.72-9.73), respectively. The prevalence of type 2 diabetes was significantly associated with age (p<0.001), smokeless tobacco use (p < 0.05), hypertension (p < 0.001) and obesity (p < 0.01). CONCLUSION The prevalence of type 2 diabetes among the Indian tribal population reported in this study is less than the national average of 7.3% for the general population. Hypertension and obesity were the major risk factors. Due to changing behavioural patterns, including dietary behaviour, there is likely to be an increase in the prevalence of hypertension and obesity, which further leads to increased prevalence of type 2 diabetes. Hence, appropriate interventions are to be initiated by the primary healthcare system.
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Affiliation(s)
- Bontha V Babu
- Socio Behavioral, Health Systems and Implementation Research Division, Indian Council of Medical Research, New Delhi, India.
| | - Chaya R Hazarika
- Socio Behavioral, Health Systems and Implementation Research Division, Indian Council of Medical Research, New Delhi, India
| | - Sunil K Raina
- Department of Community Medicine, Dr Rajendra Prasad Government Medical College, Tanda, Kangra, Himachal Pradesh, India
| | - Shariq R Masoodi
- Department of Endocrinology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India
| | | | - Nihal Thomas
- Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore, India
| | | | | | - Felix K Jebasingh
- Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore, India
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Baspakova A, Abitova AZ, Mussin NM, Kaliyev AA, Yerimbetova G, Zhumagaliyeva S, Ashimova Z, Zhilisbayeva KR, Umbetova AA, Nurtazina AU, Tamadon A. Sex differentials in the prevalence of behavioral risk factors and non-communicable diseases in adult populations of West Kazakhstan. Front Public Health 2024; 12:1333887. [PMID: 38420037 PMCID: PMC10899439 DOI: 10.3389/fpubh.2024.1333887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction The prevalence of non-communicable diseases (NCDs) is increasing worldwide. Several modifiable risk factors, such as smoking, alcohol drinking, physical inactivity, and obesity, have been linked to the development of NCDs in both genders. Understanding the prevalence of these risk factors and their associated factors is crucial for effective intervention planning in adult populations. This study aimed to provide an overview of the prevalence and associated factors of these risk behaviors among different genders of adults in West Kazakhstan. Methods A cross-sectional study was conducted in four regions of West Kazakhstan. A stratified multistage sampling technique was utilized to obtain a representative sample size of 4,800 participants aged 18 -69 years. Trained researchers administered face-to-face interviews using validated questionnaires to gather information pertaining to sociodemographic characteristics, smoking habits, alcohol drinking, dietary patterns, physical activity levels, body mass index (BMI), and prevalent diseases. Results This study, which included 4,800 participants from West Kazakhstan, revealed some striking numerical findings. The overall prevalence rates of behavioral risk factors and metabolic conditions were as follows: smoking was 13.6% (95%CI: 3.2-24.0%), alcohol drinking was 47.0% (27.7-66.3%), current obesity was 22.3% (9.0-35.6%), and physical inactivity was 80.7% (55.4-106.0%). In addition, the overall prevalence rates of metabolic conditions were 25.6% (11.3-39.9%) for hypertension, 7.5% (0.2-15.2%) for diabetes, 11.8% (2.1-21.5%) for high cholesterol, and 13.0% (2.8-23.2%) for cardiovascular diseases. Additionally, a higher prevalence of high cholesterol was observed in men, and a greater prevalence of heart disease was identified in women. Multinomial logistic regression revealed that physical inactivity was associated with hypertension, diabetes, and heart disease, while obesity was linked to hypertension, high cholesterol, and heart disease. Discussion This study in West Kazakhstan identified variations in the prevalence of behavioral risk factors and NCDs, highlighting gender, age, and regional disparities. Notably, men showed higher rates of smoking and alcohol drinking, while women exhibited a greater prevalence of physical inactivity and obesity. Gender and regional differences were evident, with the West Kazakhstan region standing out for distinct patterns. Tailored interventions are crucial to address these disparities and enhance public health in the region.
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Affiliation(s)
- Akmaral Baspakova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Anara Zh. Abitova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Nadiar M. Mussin
- General Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Asset A. Kaliyev
- General Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Gulmira Yerimbetova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Saltanat Zhumagaliyeva
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Zhanat Ashimova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Kulyash R. Zhilisbayeva
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Aigerim A. Umbetova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Alma U. Nurtazina
- Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Amin Tamadon
- Department Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
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Galiyeva D, Gusmanov A, Sakko Y, Issanov A, Atageldiyeva K, Kadyrzhanuly K, Nurpeissova A, Rakhimzhanova M, Durmanova A, Sarria-Santamera A, Gaipov A. Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019. BMC Endocr Disord 2022; 22:275. [PMID: 36368961 PMCID: PMC9650815 DOI: 10.1186/s12902-022-01200-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 11/04/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND We aimed to explore descriptive epidemiology of T1 and T2 Diabetes Mellitus (DM) and to investigate demographic factors and comorbidities associated with all-cause mortality by aggregating and utilizing large-scale administrative healthcare data from the Unified National Electronic Health System (UNEHS) of Kazakhstan for 2014-2019 years period. METHODS A total of 475,539 individuals were included in the analyses. The median years of follow-up for Type 1 DM patients accounted for 4.7 years and 4.5 years in Type 2 DM patients. We used Kaplan-Meier and log-rank test to calculate failure function and differences in survival by age, sex, ethnicity, and comorbidities with all-cause mortality for Type 1 and Type 2 DM. Cox proportional hazards regression analysis was used to obtain crude and adjusted hazard ratios. RESULTS Prevalence of Type 1 and Type 2 DM increased 1.7 times from 2014 to 2019. Mortality of Type 1 and Type 2 DM also increased 4 times and 6 times from 2014 to 2019, respectively. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh in patients with Type 1 and Type 2 DM. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death. CONCLUSION The prevalence and mortality rate of Type 1 and Type 2 DM increased during the years 2014-2019 in Kazakhstan. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death.
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Affiliation(s)
- Dinara Galiyeva
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
| | - Arnur Gusmanov
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
| | - Yesbolat Sakko
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
| | - Alpamys Issanov
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Kuralay Atageldiyeva
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
- Clinical Academic Department of Internal Medicine, University Medical Center, Nur-Sultan, Kazakhstan
| | - Kainar Kadyrzhanuly
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
| | - Aiymzhan Nurpeissova
- Department of Medical Information Analysis of Outpatient and Polyclinic Care, Republican Center of Electronic Healthcare, Nur-Sultan, Kazakhstan
| | - Marzhan Rakhimzhanova
- Clinical Academic Department of Pediatrics, University Medical Center, Nur-Sultan, Kazakhstan
| | - Aigul Durmanova
- Clinical Academic Department of Internal Medicine, University Medical Center, Nur-Sultan, Kazakhstan
| | - Antonio Sarria-Santamera
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000
| | - Abduzhappar Gaipov
- Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
- Clinical Academic Department of Internal Medicine, University Medical Center, Nur-Sultan, Kazakhstan.
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Guo D, Zhang A, Zou T, Ding R, Chen K, Pan Y, Ji P, Ye B, Xiang M. The influence of metabolic syndrome on age-related hearing loss from the perspective of mitochondrial dysfunction. Front Aging Neurosci 2022; 14:930105. [PMID: 35966796 PMCID: PMC9372463 DOI: 10.3389/fnagi.2022.930105] [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: 04/27/2022] [Accepted: 07/12/2022] [Indexed: 12/06/2022] Open
Abstract
With the increase in life expectancy in the global population, aging societies have emerged in many countries, including China. As a common sensory defect in the elderly population, the prevalence of age-related hearing loss and its influence on society are increasing yearly. Metabolic syndrome is currently one of the main health problems in the world. Many studies have demonstrated that metabolic syndrome and its components are correlated with a variety of age-related diseases of the peripheral sensory system, including age-related hearing loss. Both age-related hearing loss and metabolic syndrome are high-prevalence chronic diseases, and many people suffer from both at the same time. In recent years, more and more studies have found that mitochondrial dysfunction occurs in both metabolic syndrome and age-related hearing loss. Therefore, to better understand the impact of metabolic syndrome on age-related hearing loss from the perspective of mitochondrial dysfunction, we reviewed the literature related to the relationship between age-related hearing loss and metabolic syndrome and their components to discern the possible role of mitochondria in both conditions.
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Affiliation(s)
- Dongye Guo
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Andi Zhang
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Tianyuan Zou
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Rui Ding
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Kaili Chen
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Yi Pan
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Peilin Ji
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Bin Ye
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
- *Correspondence: Bin Ye,
| | - Mingliang Xiang
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
- Mingliang Xiang,
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