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Socioeconomic influence on clustering of cardiovascular risk factors
among Naxi ethnic minority in Yulong county of Yunnan province
Name: Cao Feng
Tutor: Professor Cai Le
Major: Social medicine and health service
management
Institution: School of Public Health, Kunming Medical
University, Kunming, Yunnan Province


Background
Aims
Methods
Results
Conclusion


One

Background

Cardiovascular disease(CVD)

Present situ
ation of ove
rsea

Present sit
uation of Ch
ina



Cardiovascular disease(CVD)
Cardiovascular disease is caused by disorders of the heart and blood
vessels, and includes coronary heart disease (heart attacks),
cerebrovascular disease (stroke), raised blood pressure
(hypertension), peripheral artery disease, rheumatic heart disease,
congenital heart disease and heart failure.

The major risk factors of CVD
There are more than 300 known CVD risk factors. The major causes of
cardiovascular disease are tobacco use, physical inactivity, an
unhealthy diet and harmful use of alcohol.


Cardiovascular
disease has
become the
leading cause of
death in the world
80% of the CVD
occurred in low and middleincome countries
Economic burden
of cardiovascular
disease has risen
sharply

Present
situation
of overs
ea


Cardiovascular
disease risk
factors of
socioeconomi
c influence
study has
received wide
recognition


Total mortality of
cardiovascular
disease showed a
trend of a
significant increase
Total population
prevalence of
cardiovascular
disease continues
to rise
Ethnic groups had
different
cardiovascular
disease epidemic
situation

Present
situation
of China


Data on the
relationship
between
socioeconomic
determinants
and
cardiovascular
risk factors
among ethnic
minorities


Two

Aims

To analyze socioeconomic influencing determinants of
CVD risk factors among Naxi ethnic minority in Yulong
county of Yunnan province.


Three

Methods

1. Stratified random sampling was used to select a
representative sample of 1402 Naxi ethnic minority
aged 35 and over from Yulong county.
2. Information was obtained from a cross-sectional

questionnaire and health examination survey.
3.Descriptive statistical analysis were used for the
basic situation of people surveyed and the
constitutents of different risk factors .
4. Chi-Square was undertaken for exploring the
association between clustering of CVD risk factors and
socioeconomic position.


Risk factor measurements
risk
factor
overweight

alcohol drinking

family history

central obesity

smoking

depression

obesity

secondhand smoke
exposure

life pressure


hypertension

high salt diet

physical inactivity

diabetes


Measure of socioeconomic status

Socioeconomic status was measured by six main
indicators: householder; level of education; tap water
in the home; toilet in the home; housing situation;
per-capita income.


Results

Four

Table1: Incidence of CVD risk factor of different gender Naxi
residents
risk factor

Male

Female


Total sample

n

%

n

%

n

%

overweight

163

25.3

202

26.6

365

26.0

obesity


43

6.7

82

10.8**

125

8.9

central obesity

128

19.9

426

56.2**

554

39.5

hypertension

155


24.1

213

28.1

368

26.2

diabetes

27

4.2

31

4.1

58

4.1

smoking

452

70.2*


9

1.2

461

32.9

alcohol drinking

313

48.6*

30

4.0

343

24.5

CVD family history

62

9.6

83


10.9

145

10.3

high salt diet

183

28.4

201

26.5

384

27.4

secondhand smoke
exposure

63

9.8

242

31.9**


305

21.8

life pressure

54

8.4

76

10.0

130

9.3

depression

16

2.5

57

7.5**

73


5.2

physical inactivity

209

32.5

243

32.1

452

32.3

Compared with women , men had higher incidence rate in smoking and alcohol
drinking(p<0.05).
**
Compared with men, women had higher incidence rate in obesity, central obesity,
secondhand smoke exposure and depression(p<0.05).
*


Results

Four

Table2: Clustering of CVD risk factors of Naxi particiants by sex and

age
Age

Gender

clustering of
cardiovascular
risk factors

Male

35-44y

Female

45-59y

≥60y

n

%

n

%

n

%


n

%

n

%

0

20

3.1

67

8.8*

33

8.1

36

6.7

18

3.9


1-2

265

41.1

332

43.8

203

50.1

212

39.6

182

39.4

≥3

359

55.7**

359


47.4

169

41.7

287

53.6***

262

56.7***

Compared with male , female had higher proportion without clustering of CVD risk
factors(p<0.01).
**
Compared with female, The proportion of clustering of more than 3 risk factors was
higher in men(p<0.01).
***
Compared with35-44y, The proportion of clustering of more than 3 risk factors was
higher in45-54y and ≥60y(p<0.01).
*


Four

Results


Table3: Chi-Square on association between socioeconomic indicator/status
and Clustering of CVD risk factors
Clustering of cardiovascular risk factors
Socioeconimic
indicator

0

1-2

3

n

%

n

%

n

%

No

27

4.4


257

41.7

332

53.9

Yes

60

7.6

340

43.3

386

49.1

Illiteracy

5

2.6

72


37.1

117

60.3

Primary

25

7.0

169

47.3

163

45.7

Secondary and above

57

6.7

356

41.8


438

51.5

Low

25

4.8

203

39.0

292

56.2

Middle

32

5.6

255

44.3

289


50.2

High

30

9.8

139

45.4

137

44.8

P

Householder:
0.022*

level of education
0.009*

Socioeconimic status
0.003*

Householder, people with higher level of education and higher socioeconomic position
had lower level of clustering of CVD risk factors (P<0.05).
*



Five

Conclusion

The findings indicate a
higher level of clustering of
CVD risk factors among Naxi
ethnic minority people in
Yunnan province.

1. Popularize the health
education
2. Improve economic
performance
3. Enhancing public education
level

Comprehensive prevention and control of CVD should more
foucs on male Naxi residents.

Future prevention and intervention strategies of CVD
should more focus on non head of household, individuals with
low level of education and low socioeconomic position.


THANK YOU FOR YOUR ATTENTION




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