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Alshaali ABCM LRCPSI MBBCh BAO NUI Dubai Health Authority RISK ASSESSMENT FOR TYPE 2 DIABETES MELLITUS AND ITS DETERMINANTS AMONF ADUTLS ATTENDING PRIMARY HEALTH CARE CENTERS 2012 ID: 916121

risk diabetes health type diabetes risk type health mellitus level primary high care centers participants developing dubai attending 2012

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Slide1

Presented by:

Dr

Anood Alshaali (ABCM, LRCPSI, MBBCh, BAO (NUI))Dubai Health Authority

RISK ASSESSMENT FOR TYPE 2 DIABETES MELLITUS AND ITS DETERMINANTS AMONF ADUTLS ATTENDING PRIMARY HEALTH CARE CENTERS, 2012

Slide2

INTRODUCTION

Slide3

Diabetes mellitus is a major public health problem that is approaching epidemic level globally.

It is a debilitating disease which threatens individuals and community health. The increasing prevalence of diabetes mellitus, particularly type 2 diabetes mellitus, is well documented.

Slide4

Slide5

415

million people have diabetesBy 2040 this will rise to 642

million The global prevalence of diabetes is 9.1% By 2040, it will rise to 10 %

Slide6

Type 2 diabetes mellitus is one of the most prevalent and costly chronic health conditions in the UAE.

Diabetes and its complications have a significant economic impact on the country resources due to its severe, long term debilitating effects on individuals, families and the society at large.

United Arab Emirates

Slide7

The International Diabetes Federation (2015) estimated that, the prevalence of diabetes in UAE is

19.3%.

By 2020, it is estimated that, 32 % of the population may have diabetes or pre-diabetes.The Ministry of Health in the UAE also reported that, type 2 diabetes mellitus constitutes the fifth leading cause of death in the population.

Slide8

The annual medical cost (2010)

$60 million (AED 220 million) for people who were at risk of developing T2DM.

$597 million (AED 2.2 billion) for those with diagnosed diabetesTHE COST OF TYPE 2 DIABETES MELLITUS

In comparison to the worldwide average expenditure, the mean health expenditure per person with diabetes in the UAE is estimated to be

double

.

Slide9

Risk assessment is used to estimate the risk of an outcome for an individual as a function of their baseline characteristics.

Early identification of people who are at risk of developing type 2 diabetes mellitus is a pivotal step to initiative preventive measures, thus avoiding the morbidity and mortality associated with the disease and maximizing the cost effectiveness of services provided.

RISK ASSESSMENT FOR TYPE 2 DIABETES MELLITUS

Slide10

Slide11

Country

Risk to develop T2DM(%)United State

35.0Australia16.4Libya32.3Lebanon45.0

Egypt54.0

Algeria

38.0

Jordan

39.0

Saudi Arabia

29.4

Slide12

United Arab Emirates

The risk of developing type 2 diabetes mellitus is recognized as a public health concern.

MENA (2010) survey reported that, 42% of respondents in UAE were at risk of developing type 2 diabetes mellitus.Abu Dhabi, UAE study (2009 – 2010) showed that, 31% of participants were at increased risk for developing type 2 diabetes mellitus.

Slide13

13

DETERMINANTS OF RISK FOR DEVELOPING T2DM

Socio-demographic factorsLife style factorsFamily history of diabetesHistory of elevated blood glucoseHistory of hypertensionKnowledge about diabetesRisk perception to diabetesObesity & central obesity

Slide14

14

Measurements of risk for developing T2DM

Slide15

Research protocols for estimating individuals’ future risk for developing type 2 diabetes mellitus have depended primarily on biochemical tests.

Such screening tool is invasive, costly and time consuming.

The American Diabetes Association recommends screening for type 2 diabetes mellitus by using the questionnaire to select high-risk individuals and therefore increasing the cost-effectiveness of testing undiagnosed individuals.

Slide16

RATIONALE

Slide17

Type 2 diabetes mellitus is highly prevalent in UAE.

Type 2 diabetes mellitus can remain asymptomatic for many years.The earlier detection of individuals at high risk for developing type 2 diabetes mellitus is a high priority for primary prevention.

Intervention studies have clearly shown that onset of type 2 diabetes mellitus could be prevented or delayed among high-risk individuals.Assessing the risk profile will be useful in planning for the prevention programmes.17

Slide18

OBJECTIVES

Slide19

To assess the level of risk for developing type 2 diabetes mellitus.

To identify the determinants of risk for developing type 2 diabetes such as personal characteristics, knowledge, perception and dietary habits. 19

Slide20

SUBJECTS & METHODS

Slide21

TARGET POPULATION:

Adult aged ≥ 18 years attending the primary health care centers.

EXCLUSION CRITERIA:

Patient diagnosed with diabetes

Pregnant women

STUDY SETTING & DESIGN:

A cross sectional study was carried out in all the primary health care centers affiliated to Dubai Health Authority.

Slide22

Sample

size:

Sample size was calculated using the computer program EPI-INFO version “6.04”, using:estimated risk of developing type 2 diabetes mellitus  29.4%degree of precision  4%confidence level  95%

Sample size

515

Slide23

Sample

procedure:

Stratified random SampleHealth region 1Health region 23 centersA systematic random sample was carried out for selection of participants3 centers

Slide24

Data Collection plan

Questionnaire

interviewPersonal characteristicsKnowledge about diabetesRisk perception for diabetesDietary intakeFinnish diabetes risk scores

Slide25

The FINDRISC is used in Finland as part of its national diabetes prevention program

.It is a validated well established method that does not require laboratory measurements.

The Finnish diabetes risk score (FINDRISC) was developed based on 10-year prospective data on the incidence of type 2 diabetes in a population-based cohort study.FINNISH DIABETES RISK SCORE (FINDRISC)

Slide26

Slide27

Slide28

ETHICAL CONSIDERATION

Slide29

Ethical procedure was followed according to the Research Ethics Committee approval in Dubai.

Written consents were obtained from the participants

.Confidentiality of the data was maintained throughout the study.

Slide30

The collected data was coded and entered to Statistical Package of Social Science (SPSS) version “20" software program.

Frequency tables with number and percent for qualitative data. Descriptive statistics as mean and standard deviation for quantitative data.

Chi square test was used for categorical data. It was replaced by Monte Carlo Exact test in case of small cell frequencies.Logistic regression was used to delineate the predictors for risk of developing type 2 diabetes mellitus. P <0.05 was the cut off level of significance. 30STATISTICAL ANALYSIS

Slide31

RESULTS

Slide32

Descriptive Characteristics

Slide33

AGE

33.55

 10.67

Slide34

Illiterate/ read & write5.4%

Primary / preparatory14.4%

Secondary41.0%University or higher39.2%SingleMarriedDivorced24.9%72.2%2.9%Educational level

Marital status

Slide35

35

Distribution of participants attending the primary health care centers in Dubai, 2012 according to their knowledge level about diabetes.

Slide36

36

Distribution of participants attending the primary health care centers in Dubai, 2012 according to their perception level of risk factors to type 2 diabetes mellitus.

Slide37

37

Finnish Diabetes Risk Score (FINDRISC) items

Score (points)

No.

( n=515)

%

Age (years)

< 45

0

438

85.0

45-

2

48

9.3

55-

3

20

3.9

65+

4

9

1.8

Family history of diabetes mellitus

No

0

120

23.3

Yes, second degree

3

114

22.1

Yes, first degree

5

281

54.6

Physical activity ≥ 30minutes/day

Yes

0

146

28.3

No

2

369

71.7

Eat vegetable or fruit

Every day

0

344

66.8

Not every day

1

171

33.2

Usage of antihypertensive medication regularly

No

0

452

87.8

Yes

2

63

12.2

Distribution of participants attending the primary health care centers in Dubai, 2012 according to Finnish Diabetes Risk Score (FINDRISC) items.

Slide38

38

Finnish Diabetes Risk Score (FINDRISC) items

Score (points)No.

( n=515)

%

History of high blood glucose

No

0

436

84.7

Yes

5

79

15.3

Body mass index

Lower than 25 kg/m

2

0

173

33.6

25-29.9 kg/m

2

1

150

29.1

30 kg/m

2

and above

3

192

37.3

Waist circumference (cm)

Female:

<80

0

85

26.8

80-88

3

72

22.7

>88

4

160

50.5

Male:

<94

0

76

38.4

94-102

3

46

23.2

>102

4

76

38.4

Continued

Slide39

39

Distribution of participants attending the primary health care centers in Dubai, 2012 according to the level of risk of developing type 2 diabetes mellitus.

Slide40

DETERMINANTS OF RISK

Slide41

Distribution

of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and age.

p=0.000

Slide42

Distribution

of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and sex.

p=0.041

Slide43

43

p=0.030

Distribution of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and educational level.

Slide44

44Distribution of participants attending the primary health care centers in Dubai, 2012 according to

level of risk of type 2 diabetes and family history of diabetes.

p=0.000

Slide45

Distribution

of participants attending the primary health care centers in Dubai, 2012 according to

level of risk of type 2 diabetes and knowledge level.

Slide46

46

p=0.024

Distribution of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and perception level to risk factors of T2DM.

Slide47

47

Distribution of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and consumption of refine grains.

p=0.018

Slide48

48

p=0.041

Distribution of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and consumption of fried foods.

Slide49

Distribution

of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and consumption of fruit & vegetable.

p=0.017

Slide50

Distribution

of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and physical activity.

p=0.000

Slide51

51

p=0.000

Distribution of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and body mass index.

Slide52

52

p=0.000

Distribution of participants attending the primary health care centers in Dubai, 2012 according to level of risk of type 2 diabetes and waist circumference.

Slide53

53o Excluding participants with low/ slightly elevated risk to develop T2DM

Finnish

Diabetes Risk factors No. (n=221) o%High/ very high waist circumference

208 94.1

Positive family history of diabetes

199

90.0

Body mass index 25 kg/m

2

or higher

198

89.6

Physical activity < 30minutes /day

185

83.7

Not consuming fruits or vegetables on daily basis

83

37.6

Age 45 years or more

58

26.2

History of high blood glucose

57

25.8

Usage of antihypertensive medication regularly

35

15.8

Prevalence

of risk factors assessed in FINDRISC test among participants at moderate or high/ very high risk of developing type 2 diabetes mellitus within the next ten years.

Slide54

Independent variable

B

P-

value

Adjusted

OR

95% C.I.

LL

UL

Age

®

<45years

2.324

0.000

10.22

4.54

23.02

Knowledge level

®

good

0.019

Fair

0.576

0.133

1.78

0.84

3.77

Poor

0.994

0.005

2.70

1.36

5.38

Perception level

®

high

0.024

Medium

0.514

0.166

1.67

0.81

3.47

Low

0.905

0.007

2.47

1.29

4.75

Eating refine grains

®

not daily basis

0.775

0.015

2.17

1.16

4.06

Eating fried

food

®

not daily basis

1.029

0.014

2.80

1.24

6.34

Family history

®

no

2.874

0.000

17.70

9.22

33.97

BMI

®

within normal range

2.016

0.000

7.51

3.61

15.64

Waist circumference

®

within normal range

2.817

0.000

16.73

7.29

38.36

Physical activity

®

≥ 30min/day

1.509

0.000

4.52

2.32

8.81

History of high blood glucose

®

no

2.316

0.000

10.13

4.21

24.36

54

Results of stepwise multiple logistic regressions of factors affecting the risk of developing type 2 diabetes within 10 years among participants attending the primary health care centers in Dubai, 2012

.

Slide55

DISCUSSION

Slide56

LIBYA STUDY 2009

32.3%

were found to be at moderate or at high/very high risk of developing diabetes within the next 10 years of life.

The most Prevalent Risk Factors:BMI >25 kg/m2

(96.99

%

)

Positive family history of diabetes

(93.02 %)

Physical activity <30 minutes/day

(79.85 %)

High waist circumference (66.67%)

Slide57

CENTRAL SAUDI ARABIA STUDY 2010

29.4

% were found to be at moderate /high/very high risk to develop T2DM within 10 years

. More

than

95% of

the targeted group

were found to have :

BMI >25 kg/m2

(98.0%)

Positive

family history of diabetes

(96.6 %)

High/ very high waist circumference (96.0%)

Slide58

CONCLUSION

Slide59

The overall risk of developing type 2 diabetes mellitus was alarming.

More than forty percent of participants were at moderate, high and very high risk of developing type 2 diabetes mellitus within ten years.Three out of the top four prevalent risk factors are modifiable which strongly underpin the urgent need for interventions to prevent or delay type 2 diabetes mellitus among those at risk.

59

Slide60

REFRENCES

Slide61

1. The

Global Burden. International Diabetes Federation. Available at: http://www.idf.org/diabetesatlas/5e/the-global-burden

. Accessed 15/2/2016. 2. Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract 2011;94(3):311-321.3. Ministry of Health. United Arab Emirates Homepage. Available at:

http://www.moh.gov.ae/en/Pages/default.aspx.

Accessed 15/2/201

6.

4.United

Health Group. Diabetes in the United Arab Emirates: Crisis or Opportunity? 2010; Available at:

www.unitedhealthgroup.com/news/rel2010/

. Accessed

2/2/2014.

5. Ackermann

RT, Cheng YJ, Williamson DF, Gregg EW. Identifying Adults at High Risk for Diabetes and Cardiovascular Disease Using Hemoglobin A1c. Am J

Prev

Med 2011;40(1):11-17.

 

6. Schwarz

P, Li J, Lindstrom J,

Tuomilehto

J. Tools for predicting the risk of type 2 diabetes in daily practice. Hormone and metabolic research 2009;41(2):86-97.

 

7. Dunstan

DW,

Zimmet

PZ,

Welborn

TA, De

Courten

MP, Cameron AJ,

Sicree

RA, et al. The Rising Prevalence of Diabetes and Impaired Glucose Tolerance The Australian Diabetes, Obesity and Lifestyle Study. Diabetes Care 2002;25(5):829-834.

 

8. Centers

for Disease Control and Prevention. National diabetes fact sheet: general information and national estimates on diabetes in the United States. 2011; Available at:

http://www.cdc.gov/diabetes/pubs/estimates11.htm#7

. Accessed

15/2/2016.

 

Slide62

9. Type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diabetes and Vascular Disease Research 2005;2(2):67-72.

Anjana R, Pradeepa R,

Deepa M, Datta M, Sudha V, Unnikrishnan R, Bhansali A, Joshi SR, Joshi PP, Yajnik CS. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: Phase I results of the Indian Council of Medical Research–INdia

DIABetes (ICMR–INDIAB) study.

Diabetologia

2011;54(12):3022-3027.

 

10.

Mohieldein

AH,

Alzohairy

M, Hasan M. Risk Estimation of Type 2 Diabetes and Dietary Habits among Adult Saudi Non-diabetics in Central Saudi Arabia. Global Journal of Health Science 2011;3(2):123-133.

 

11.

Abduelkarem

A, Sharif S,

Hammrouni

A,

Aldouibi

S,

Albraiki

W, El

Shareif

H. Risk calculation of developing type 2 diabetes in Libyan adults. Practical Diabetes International 2009;26(4):148-151.

 

12. Novo

Nordisk. Diabetes in the Middle East and Northern Africa Novo Nordisk’s diabetes awareness survey in the MENA region. 2010; Available at:

http://www.novonordisk.com/images/about_us/changing-diabetes/PDF/Leadership%20forum%20pdfs/MENA%20Forum/

. Accessed

15/2/2016.

13.

Saadi

H, Al-

Kaabi

J,

Benbarka

M,

Khalili

A,

Almahmeed

W,

Nagelkerke

N, et al. Prevalence of Undiagnosed Diabetes and Quality of Care in Diabetic Patients Followed at Primary and Tertiary Clinics in Abu Dhabi, United Arab Emirates. The review of diabetic studies: RDS 2010;7(4):293-302.

 

14.

Saaristo

T,

Peltonen

M,

Lindström

J,

Saarikoski

L,

Sundvall

J, Eriksson JG, et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected

Slide63

THANK YOU