Table 5 Results of multi‐variable linear regression analysis of education, personal income, unemployment rate, smoking, and alcohol misuse in explaining differences in midlife (45–64 years) male and female total CV*, IHD†, cerebrovascular and other heart disease mortality (those variables that entered into the models).
Standardised β | t Value | Significance | Adjusted R2 for the final model | |
---|---|---|---|---|
Total male CV* mortality | ||||
Income | −0.301 | −2.87 | <0.005 | 0.257 |
Non‐stop drinking | 0.192 | 2.77 | <0.006 | 0.297 |
Education | −0.237 | −2.23 | <0.027 | 0.316 |
Total female CV* mortality | ||||
Education | −0.415 | −5.74 | <0.000 | 0.209 |
Non‐stop drinking | 0.226 | 3.18 | <0.002 | 0.253 |
Male IHD† mortality | ||||
Income | −0.348 | −4.55 | <0.000 | 0.132 |
Non‐stop drinking | 0.153 | 2.00 | <0.047 | 0.149 |
Female IHD† mortality | ||||
Education | −0.219 | − 2.30 | <0.023 | 0.142 |
Non‐stop alcohol | 0.193 | 2.56 | <0.011 | 0.177 |
Unemployment | 0.199 | 2.14 | <0.037 | 0.196 |
Male cerebrovascular mortality | ||||
Education | −0.289 | −2.68 | <0.001 | 0.245 |
Unemployment rate | 0.277 | 2.60 | <0.002 | 0.292 |
Non‐stop drinking | 0.170 | 2.45 | <0.015 | 0.315 |
Female cerebrovascular mortality | ||||
Education | −0.349 | − 4.60 | <0.000 | 0.146 |
Non‐stop drinking | 0.195 | 2.60 | <0.011 | 0.177 |
*CV, total cardiovascular mortality rates (ICD 10.I00–I99). †IHD, ischaemic heart disease mortality (ICD 10. I20–I25).