Case Study: Incidence of Lifestyle Diseases In IT Industry

Case study :Case study :Incidence of Lifestyle Incidence of Lifestyle

Diseases in IT Industry Diseases in IT Industry

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Investigator: Dr. Ravindra L Investigator: Dr. Ravindra L KulkarniKulkarni

Consultant & Interventional Cardiologist

MD, FSCAI specialize in clinical Research and interventional cardiology.

Practicing in Leading multi specialty hospitals in Pune.

Involved in health talks, health check ups and Corporate wellness.


Background Background Increasing trend in NCDs worldwide

(WHO, 2008) Contribution of lifestyle factors IT industry workers are at risk

◦ Odd working hours◦ Erratic eating habits◦ Sedentary work style ◦ Constant stress levels• Effect on work performance &

productivity


ObjectivesObjectives

1. To establish prevalence of cardio-metabolic risk factors in employees of IT industry.

2. To observe clustering of cardio-metabolic risk factors (CMRF) within body mass index (BMI), height, weight & age groups.


MethodsMethodsObservational studyData obtained from annual medical health records of

employees (from 2 leading BPO industries in Pune)CMRF clustering i.e. ≥ 2 risk factors (IDF 2005)

◦ TG ≥ 150 mg/dl◦ HDL < 40 mg/dl in males OR <50 mg/dl in females◦ BP systolic ≥ 130 OR diastolic ≥ 85mmHg◦ FPG ≥ 100 mg/dl

ADA 2011 criteria & JNC-7 guidelines used for T2DM, HTN

Analyzed across ◦ Height, Weight, BMI Categories◦ Age Categories◦ Gender


Observations Criteria Total (%)(n = 1350)

Males (%)(n = 1063)

Females (%)(n = 287)

IFG FPG ≥ 100 mg/dl 10.0 10.2 9.2

Hypertension SBP ≥ 140 mmHgDBP ≥ 90 mmHg

19.3 20.1 16.7

Obesity ≥ 30 kg/m2 9.4 8.8 11.5

≥ 27.5 kg/m2 22.5 21.6 25.6

High T. Chole T.Chole ≥200 mg/dl

19.2 20.3 14.9

High TG ≥ 150 mg/dl 23.8 26.6 13.1

Low HDL <40 mg/dl (M)< 50 mg/dl (F)

67.3 60.4 93.1

High LDL ≥ 130 mg/dl 19.5 19.7 18.5

ResultsResults


Overall Overall PrevalencePrevalence


Results

Prevalence of CMRF clustering Prevalence of CMRF clustering across age groupsacross age groups


Pre

vale

nce

Age Groups

< 30 Y < 40 Y <50 Y ≥ 50 Y

Prevalence of CMRF clustering acrossPrevalence of CMRF clustering across BMI groups BMI groups


%

P=0.000

Public health achievable

targets for Asians

WHO Criteria

Gender

Prevalence of CMRF clustering across Genders

Pre

vale

nce


Determinants of CMRF Determinants of CMRF (Logistic Regression)(Logistic Regression)

Independent Variables

Groups Sig Odd’s Ratio

95% CI

Lower Upper

AGE < 31 Y 1.00

≥ 31 < 33 Y 0.002 2.75 1.42 5.29

≥ 33 < 35 Y 0.003 2.71 1.4 5.25

≥ 35 Y 0.012 2.27 1.19 4.32

HEIGHT ≥ 174 cm 1.00

≥ 168 < 174 cm 0.662 1.10 0.71 1.7

≥ 162 < 168 cm 0.061 1.56 0.98 2.51

< 162 cm 0.030 1.90 1.06 3.39

WEIGHT < 63 Kg 1.00

≥ 63 < 71 Kg 0.062 1.58 0.97 2.57

≥ 71 < 79 Kg 0.008 1.98 1.19 3.30

≥ 79 Kg 0.000 3.55 2.09 6.01

GENDER Females 1.00

Males 0.317 0.79 0.5 1.24www.justforhearts.org

ConclusionConclusion

1. There is a high burden of cardio-metabolic risk factors in young employees working in IT industry.

2. The prevalence of CMRF clustering increases with increasing BMI, body weight & age.

3. The prevalence of CMRF clustering decreases with increasing height. (i.e. short height = high risk)

4. Need to spread awareness among IT employees about far-reaching effects

5. Need to initiate Workplace Health Promotion programswww.justforhearts.org

LimitationsLimitationsOpportunistic analysisNo data on-

◦ SES◦ Family history of DM/

HTN◦ Abdominal obesity

(WC)◦ Tobacco & alcohol

consumption◦ Duration of exposure to

work styleNo OGTT was performed

Future Plans• To initiate diabetes

prevention program in IT industry.

• Impact of a lifestyle modification program on CMRFs.

• Use of email & SMS technologies

• Benefits both for the employees and the employers

• Better industrial outputs and growthwww.justforhearts.org

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Case Study: Incidence of Lifestyle Diseases In IT Industry

Documents

health talks

risk factors idf

metabolic risk factors

individual health requirements

pune cmrf clustering

clustering of cardio

work performance

industry workers