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Table 4 Factors associated with lipid-lowering medications use for primary prevention of CVD^

From: Prevalence and factors associated with lipid-lowering medications use for primary and secondary prevention of cardiovascular diseases among Malaysians: the REDISCOVER study

 

Crude OR (95% CI)

p-value

Adjusted OR (95% CI)

p-value

Ethnicity

 Malay

1

 

1

 

 Chinese

2.42 (1.98–2.95)

0.000*

1.38 (0.89–2.16)

0.154

 Indian

2.69 (1.91–3.80)

0.000*

1.31 (0.70–2.43)

0.396

 Indigenous

0.34 (0.23–0.50)

0.000*

1.01 (0.58–1.77)

0.960

Education attainment

 No formal education

1

 

1

 

 Primary school

1.63 (1.17–2.29)

0.004*

1.50 (0.73–3.08)

0.274

 Secondary school

2.16 (1.57–2.97)

0.000*

3.24 (1.61–6.52)

0.001*

 Tertiary

3.08 (2.21–4.27)

0.000*

3.02 (1.37–6.66)

0.006*

Location

 Urban

1

 

1

 

 Rural

0.32 (0.27–0.38)

0.000*

0.56 (0.40–0.79)

0.001*

Occupation

 Homemaker/unemployed

1

 

1

 

 Semi-skilled

0.69 (0.58–0.83)

0.000*

0.78 (0.53–1.15)

0.212

 Skilled workers

1.18 (0.90–1.55)

0.224

0.93 (0.55–1.56)

0.784

 Managerial and Professional

1.58 (1.22–2.04)

0.001*

1.03 (0.58–1.85)

0.920

Household income group

 Bottom 40% (≤ RM 4849)

1

 

1

 

 Middle 40% – Top 20% (≥ RM 4850)

2.81 (2.08–3.79)

0.000*

1.54 (1.06–2.24)

0.025*

10-year Framingham general cardiovascular risk (FRS-CVD) categories

 Low risk <  10%

1

 

1

 

 Intermediate risk 10–20%

1.76 (1.43–2.16)

0.000*

2.50 (1.78–3.49)

0.000*

 High risk >  20%

2.61 (2.17–3.14)

0.000*

3.81 (2.78–5.23)

0.000*

  1. Abbreviation: OR Odds ratio
  2. ^ include participants without CVD, n = 10,692
  3. Variables included in multiple logistic regression model: ethnicity, education, location (urban/rural), occupation, household income, 10-year Framingham general cardiovascular risk (FRS-CVD) categories. No significant interactions
  4. *Significant at p < 0.05