Table 3

Prevalence of coronary heart disease: age and sex breakdown

SexAge groupTotalHistory of anginaDefinite angina (rose)Possible+definite angina (Rose)History of angina+definite anginaHistory of angina+possible (Rose) angina
NNPercentageNPercentageNPercentageNPercentageNPercentage95% CI*
Male30–4521910.510.583.720.994.10 to 9.6
46–6024610.441.662.452.072.81.5 to 4.1
61–7515874.442.595.785.1138.22.2 to 14.3
30–7562391.491.4233.7152.4294.71.5 to 7.8
Population standardised age-adjusted rate3.24.22.5 to 5.9
Female30–4528710.331.0175.941.4175.91.9 to 9.9
46–60430112.6153.54911266.05111.97.3 to 16.4
61–7521373.394.22210167.52511.76.1 to 17.4
30–75930192.0272.9889.5464.99310.06.2 to 13.8
Population standardised age-adjusted rate7.08.76.9 to 10.6
  • Odds ratio between men and women aged 30–45 for Angina (history and/or Rose): 1.5 (0.5 to 4.1); p value 0.417**. Odds ratio between men and women aged 46–60 for Angina (history and/or Rose): 4.6 (2.1 to 9.9); p value 0.002**. Odds ratio between men and women aged 61–75 for Angina (history and/or Rose): 1.5 (0.6 to 3.6); p value 0.329**. Odds ratio between men and women aged 30–75 for angina (history and/or Rose): 2.28 (1.23 to 4.22); p value 0.015**. The prevalence of angina between general practices varied from 0–12.5% in men and 0–20.3% in women. There was little overlap between the practices that had the highest levels in men and women.

  • ICC—whole sample 0.016; ICC men—0.023; ICC women—0.018.

  • * 95% CIs for sample prevalences estimated using survey:proportion to adjust for possible clustering between practices.

  • Using survey:logit to adjust for possible clustering between practices.

  • Standard error for age standardised rate (ASR) using the formula:Embedded Imagewhere Ni is the number in age group i in Goa census data, ri is the rate in age group i in the sample, and ni is the number in the age group i in the sample. The 95% CI is then ASR±1.96SE(ASR).