scholarly journals Reported Hours of Sleep, Diabetes Prevalence and Glucose Control in Jamaican Adults: Analysis from the Jamaica Lifestyle Survey 2007-2008

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Chisa G. Cumberbatch ◽  
Novie O. Younger ◽  
Trevor S. Ferguson ◽  
Shelly R. McFarlane ◽  
Damian K. Francis ◽  
...  

Background. There are limited data on sleep duration and diabetes from developing countries. We therefore examined the relationship between reported hours of sleep, diabetes prevalence and glucose control in Jamaican adults.Methods. Data on reported hours of sleep and diabetes (based on glucose measurement and medication use) from a national survey of 15–74-year-old Jamaicans were analyzed.Results. The 2,432 participants (31% M, Age42±16years, BMI27.6±6.6 kg/m2, diabetes prevalence 12%) reported sleeping8.2±1.8hours. In men, sleeping less than 6 hours (OR (95% CI) = 2.65 (1.09–6.48)) or more than 10 hours (OR (95% CI) = 4.36 (1.56–12.19)) was associated with diabetes when adjusted for age, BMI, and family history of diabetes. In women sleeping less than 6 hours was associated with a reduced likelihood of diabetes after adjusting for the same confounders ((OR (95% CI) = 0.43 (0.23–0.78)). There was no significant association between sleep and glucose control.Conclusion. Insufficient and excessive sleep was associated with increased diabetes prevalence in Jamaican men but not women.

Diabetes Care ◽  
2010 ◽  
Vol 33 (4) ◽  
pp. 763-767 ◽  
Author(s):  
E. van 't Riet ◽  
J. M. Dekker ◽  
Q. Sun ◽  
G. Nijpels ◽  
F. B. Hu ◽  
...  

2020 ◽  
Author(s):  
Haofei Hu ◽  
Mijie Guan ◽  
Zhuangsen Chen ◽  
Yang Wu ◽  
Qijun Wan

Abstract Background: Previous studies have revealed that chronic kidney disease (CKD) is one of major risk factors of insulin resistance and diabetes. However, there are few investigations of the correlations between the estimated glomerular filtration rate (eGFR) and incident diabetes, especially in Chinese population. This study was taken to explore the relationship between eGFR and incident diabetes in a large cohort in Chinese community population. Methods: The present study was a retrospective cohort study. A total of 199,435 adults from Rich Healthcare Group in China, which includes all medical records for participants who received a health check from 2010 to 2016. The target independent variable and the dependent variable were eGFR measured at baseline and incident diabetes mellitus appeared during follow-up respectively. Covariates involved in this study included age, gender, body mass index, diastolic blood pressure, systolic blood pressure, fasting plasma glucose, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride, alanine aminotransferase, aspartate aminotransferase, smoking and drinking status and family history of diabetes. Cox proportional-hazards regression was used to investigate the association between eGFR and incident diabetes. Generalized additive model was used to identify non-linear relationships. Additionally, we also performed a subgroup analysis. It was stated that the data had been uploaded to the DATADRYAD website. Result: After adjusting gender, body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride, alanine aminotransferase, aspartate aminotransferase, smoking and drinking status and family history of diabetes, result showed eGFR was negatively associated with incident diabetes (HR=0.987, 95%CI (0.984, 0.989)). A J shape relationship was detected between eGFR and incident diabetes, which had an inflection point of eGFR was 97.967 mL/min-1·(1.73 m2)-1. The effect sizes and the confidence intervals on the left and right sides of the inflection point were 0.999 (0.994,1.004) and 0.977 (0.974,0.981), respectively. Subgroup analysis showed, the stronger association can be found in the population with FPG<6.1mmol/L, BMI<24kg/m2, SBP<140mmHg, DBP<90mmHg, HDL in middle level and family history without diabetes. The same trend was also seen in men and in the population with never or ever smoking. Conclusion: eGFR is independently associated with incident diabetes. The relationship between eGFR and incident diabetes is also non-linear. eGFR was strong negatively related to incident diabetes when eGFR is above 97.967 mL/min-1·(1.73 m2)-1.


2019 ◽  
Vol 4 (2) ◽  
pp. 10
Author(s):  
Ti En ◽  
Musyarrafah Musyarrafah ◽  
Andi Noor Kholidha ◽  
Pranita Aritrina ◽  
Ikhlasul Amal Abdal ◽  
...  

Background: Diabetes Mellitus is a metabolic disease characterized by chronic hiperglikemia and caused by the impairment of insulin secretion or insulin resistance or both. There are some risk factors in the process. They are obesity, lack of activity, nutritional deficiency, family history of diabetes, history of gestational diabetes, old age, and genetic. Research Purpose: This research purpose is to understand the relationship between risk factors including obesity and family history with the incident of type-2 DM in coastal area of Kendari. Research Methods: This research used analytical-observational study with case control approach. The independent variables used in this research are Body Mass Index (BMI) and family history while the the dependent variables are the incident of type-2 DM. The location of this research is working area of Puskesmas Mata, Puskesmas Benu-benua, Puskesmas Kandai, Puskesmas Abeli and Puskesmas Poasia located in the coastal area. There are 75 people choosen to be our samples by include and exclude criteria with cluster sampling method. Data are obtained by using questionnaire and laboratory analysis. The results are processed by applying Chi-Square test with p<0,050 and the Odd Ratio score. Research Result: This research showed that between BMI with the incident of type-2 DM has p=0,000 (OR=7,875), between family history with the incident of type-2 DM has p=0,030 (OR=2,800), between BMI and family history with the incident of type-2 DM has p=0,000 (OR=14,571). Conclusion: The conclusion of this research was that the relationship between BMI with the incident of type-2 DM in the coastal area of Kendari exists. The relationship between family history with the incident of type-2 DM in the coastal area of Kendari exists. The relationship between BMI and family history with the incident of type-2 DM in the coastal area of Kendari exists.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1378-P
Author(s):  
JANAKI D. VAKHARIA ◽  
SUNGEETA AGRAWAL ◽  
JANINE BACIC ◽  
LISA S. TOPOR

Sign in / Sign up

Export Citation Format

Share Document