Prevalence and determinants of diabetes mellitus in the Indian industrial population.
OBJECTIVE
To highlight the regional difference in the prevalence of diabetes mellitus (DM) and to explore determinants in variability in the Indian industrial population.


METHODS
A cross-sectional survey was carried out among the employees and their family members (10 930 individuals, mean age 39.6 years, 6764 male) of eleven medium-to-large industries from diverse sites in India, using a stratified random sampling technique. Information on behavioural, clinical and biochemical risk factors of DM was obtained, through standardized instruments. DM was diagnosed when fasting blood glucose was > or = 7.0 mmol/l and/or individuals took drug treatment for DM. Multiple logistic regression analysis was carried out to identify the potential predictors of DM.


RESULTS
In the 20 to 69-year-old age group, the crude prevalence of DM and impaired fasting glucose was 10.1 and 5.3%, respectively. Urban sites had a higher prevalence and awareness of DM status. Individuals in the lower education group had a high prevalence of DM (11.6%). In diabetic subjects, 38.4% were unaware that they had diabetes. Waist-circumference-to-height ratio had a higher DM predictive power than waist circumference and body mass index. The risk factors associated with overall prevalence of DM were: age, sex, low-education level, family history of DM, hypertension and overweight/obesity. Interaction of risk factors was observed only in urban high-prevalence sites.


CONCLUSIONS
There are wide regional variations in the prevalence of DM in India. The high burden of undetected diabetes, even in settings with universal access to on-site health care, highlights the need for innovative prevention and control strategies.
Ajay
V S
VS
Centre for Chronic Disease Control, All India Institute of Medical Sciences, New Dehli, India.
Prabhakaran
D
D
Jeemon
P
P
Thankappan
K R
KR
Mohan
V
V
Ramakrishnan
L
L
Joshi
P
P
Ahmed
F U
FU
Mohan
B V M
BV
Chaturvedi
V
V
Mukherjee
R
R
Reddy
K S
KS
D000328:Adult; D000367:Age Factors; D000368:Aged; D001827:Body Height; D001835:Body Weight; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000175:diagnosis / Q000453:epidemiology*; D004522:Educational Status; D005260:Female; D006306:Health Surveys; D006801:Humans; D006973:Hypertension / Q000150:complications / Q000453:epidemiology; D007194:India / Q000453:epidemiology; D007221:Industry; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012737:Sex Factors; D014505:Urban Population; D055105:Waist Circumference; D055815:Young Adult