Incidence of type 2 diabetes mellitus and prediabetes in Kerala, India: results from a 10-year prospective cohort

Vijayakumar, G.; Manghat, Sreeja; Vijayakumar, R; Simon, Leena; Scaria, Liss Maria; Vijayakumar, Aswathi; Sreehari, Ganapathy K.; Kutty, V. Raman; Rachana, Arun; Jaleel, Abdul

doi:10.1186/s12889-019-6445-6

Cited by 91 publications

(62 citation statements)

References 37 publications

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“…In our study, we observed that 38.7% of intracerebral hemorrhage patients were defined as PreDM at admission, which is consistent with the occurrence rate of PreDM among ischemic stroke patients and the general population (Mijajlovic, Aleksic, Sternic, Mirkovic, & Bornstein, ; Vijayakumar et al, ). We found that the PreDM group had a higher risk of poor functional outcome than the non‐DM group among intracerebral hemorrhage patients.…”

Section: Discussionsupporting

confidence: 88%

Prediabetes is associated with poor functional outcome in patients with intracerebral hemorrhage

et al. 2020

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Introduction:The association between prediabetes and functional outcome in cerebrovascular diseases is controversial. No study has explored the relationship between prediabetes and functional outcome in intracerebral hemorrhage patients.Our study aimed to explore the association between prediabetes and functional outcome in intracerebral hemorrhage patients 1 month poststroke. Methods:One hundred and fifty intracerebral hemorrhage patients were consecutively recruited within the first 24 hr after admission and were followed up for 1 month. Patients were divided into a diabetes mellitus group, a prediabetes group, and a nondiabetic group by fasting glucose levels, 2-hr postprandial blood glucose levels, and glycosylated hemoglobin levels. Patients with modified Rankin Scale scores >2 at 1 month were defined as having a poor functional outcome. Results:The prediabetes group had a higher risk of poor functional outcome than the nondiabetic group in intracerebral hemorrhage patients (37.9% vs. 9.8%, χ 2 = 11.521, p = .001). According to the logistic regression analyses, prediabetes was associated with a poor functional outcome in intracerebral hemorrhage patients after adjusting for confounding factors (odds ratio = 6.167, 95% confidence interval = 1.403-27.102, p = .016). Conclusions:Our findings show that prediabetes is associated with a poor functional outcome in intracerebral hemorrhage patients 1 month poststroke. K E Y W O R D S diabetes mellitus, functional outcome, intracerebral hemorrhage, prediabetes How to cite this article: Wang Q, Huang G, Chen F, et al. Prediabetes is associated with poor functional outcome in patients with intracerebral hemorrhage. Brain Behav.

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Section: Discussionsupporting

confidence: 88%

Prediabetes is associated with poor functional outcome in patients with intracerebral hemorrhage

et al. 2020

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“…The main objective of this study was to assess the awareness level among the ordinary people of the society who don't have much access to the continuing health education programs. The high prevalence of overweight (52.9%) and obesity (24.4%) among the participants was similar to the indings in 2019 by another Kerala prediabetes study where their prevalence of overweight and obesity was quite high (46%) in their cohort (Vijayakumar et al, 2019). Another critical inding during prediabetes screening is that 51% (n=157) had high and 42.8% (n=132) had moderate waist to hip ratio.…”

Section: Correlation Between Knowledge Attitude and Practice Among Psupporting

confidence: 81%

Assessing the Knowledge, Attitude and Practice (KAP) among the newly diagnosed Prediabetes screened in selected districts of South India

K¹,

Danasekaran²,

Mohan³

et al. 2020

ijrps

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Currently, 314 million people in the world are Prediabetes, and it is predicted that around 500 million would be burdened by the year 2025. Continuing education of diabetes and its complications is crucial, but it should be accompanied with regular assessment of Knowledge Attitude and Practice (KAP) among the high-risk population. That would play a cost-effective role in prevention and control of the disease.This study was carried out to assess the Knowledge, Attitude and Practice among the newly diagnosed Prediabetes screened over selected districts of South India.This study was conducted through prediabetes screening camps over districts of Calicut, Wayanad and Malappuram in Kerala and The Nilgiris district in Tamilnadu from September 2017 to October 2019. A questionnaire survey was done as a part of a prospective open-label interventional study with 308 prediabetes individuals. Baseline characteristics of the participants were obtained, and their knowledge, attitude and practice regarding Prediabetes were assessed. The finding of the present study revealed 90% of the respondents had poor knowledge, 9% had average knowledge, and only 1% had good knowledge of Prediabetes. In the attitude assessment, only 1.9% had a strongly positive attitude, 14% had a positive attitude, 54% had neutral attitude while 17% had a negative attitude and 13% had a strongly negative attitude. Regarding healthy lifestyle practices, 35.4% had a deplorable practice that scored below 6. Around half of the population, 52.3% had poor practice, 12% had proper training, while only 0.3% had a perfect practice.Knowledge and practice regarding lifestyle modifications among prediabetes participants were found to be reduced.

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“…In terms of diabetes, for participants living in a rural area, being physically inactive, having increased waist circumference, elevated triglycerides and leucocytes levels emerged as important associated risk factors of diabetes, while in an urban area advanced age was associated with diabetes. Vijayakumar et al ( 52 ) reported that advanced age and the presence of central obesity were important risk factors for type 2 diabetes mellitus in an Indian study. As part of lifestyle management, the American Diabetes Association (ADA) ( 53 ) recommends focused goal-based behavioral lifestyle intervention programs for prediabetes patients, that includes 7% weight loss and physical activity (150 min of physical activity, similar in intensity to brisk walking, per week).…”

Section: Discussionmentioning

confidence: 99%

A Comparison of the Socio-Behavioral-Metabolic Risk Profiles and Associated Factors for Chronic Diseases of Lifestyle in Urban and Rural Communities in Central South Africa

Zyl

Rooyen

Joubert

et al. 2020

Front. Public Health

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Background: The global escalating prevalence of lifestyle-related non-communicable diseases places a significant burden on health systems. Chronic diseases of lifestyle (CDL) are a group of diseases that share similar modifiable risk factors that can result in long-term disease processes. Considering the socio-behavioral-metabolic risk profiles of communities and risk factors predictive of the presence of CDL can assist in the development of focused and effective community-based prevention, intervention, and treatment programs for CDL. Aim: To determine the socio-behavioral-metabolic risk profiles and identify associated factors for the following CDL: obesity, cardiovascular disease, hypertension, and type 2 diabetes mellitus in rural and urban communities in central South Africa. Methodology: This cross-sectional study included adults aged 25–65 years in the rural Southern Free State and urban Mangaung. Social determinants, behavioral and metabolic risk factors, and inflammatory biomarkers for CDL were determined. Results: In total, 575 rural (mean age: 42 years; 71% female) and 429 urban (mean age: 44 years; 76% female) participants were included in the study. More than 20% of participants in both communities reported being previously diagnosed with cardiovascular diseases; with reported hypertension and diabetes mellitus more prevalent among rural participants. Insufficient intake of fruit and vegetables, alcohol use, and high blood pressure were among the top five risk factors in both communities. Physical inactivity ranked among the top two risk factors in the urban community; while alcohol and tobacco use was significantly higher in the rural community. Fibrinogen was the most prevalent inflammatory marker in both communities (32.9 rural vs. 48.3% urban). High sensitivity C-reactive protein (Hs-CRP), only available for rural participants, was high with increased levels in more than 80% of participants. In both communities, being female, having high blood pressure and increased fibrinogen levels were associated with obesity. Conclusion: This study illustrated the high prevalence of socio-behavioral-metabolic risk factors for CDL, and identified similarities and distinct differences in the risk profiles of rural and urban communities. Considering the CDL risk profiles of communities can assist in prioritizing health needs and contribute to the development of tailor-made community-based primary health care prevention, intervention, and health promotion programs.

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Incidence of type 2 diabetes mellitus and prediabetes in Kerala, India: results from a 10-year prospective cohort

Cited by 91 publications

References 37 publications

Prediabetes is associated with poor functional outcome in patients with intracerebral hemorrhage

Prediabetes is associated with poor functional outcome in patients with intracerebral hemorrhage

Assessing the Knowledge, Attitude and Practice (KAP) among the newly diagnosed Prediabetes screened in selected districts of South India

A Comparison of the Socio-Behavioral-Metabolic Risk Profiles and Associated Factors for Chronic Diseases of Lifestyle in Urban and Rural Communities in Central South Africa

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