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Table 3 Association by age and sex between daily maximum temperature and homicide, with odds ratios reported per 1 °C increase in temperature. Numbers in parentheses are 95% confidence intervals

From: Short-term association between ambient temperature and homicide in South Africa: a case-crossover study

 Deaths includedOdds ratio
DefiniteaTotalbDefiniteaTotalb
Male
 Lag 0c54,278188,7371.016 (1.013, 1.018)1.012 (1.011, 1.014)
 Lag 1d54,266188,7131.012 (1.009, 1.014)1.009 (1.007, 1.010)
 Lag 0-1e54,090188,1411.018 (1.015, 1.021)1.014 (1.012, 1.016)
Female
 Lag 0c880534,0531.013 (1.006, 1.019)1.010 (1.007, 1.014)
 Lag 1d880934,0811.013 (1.007, 1.020)1.008 (1.004, 1.011)
 Lag 0-1e878133,9531.017 (1.010, 1.025)1.012 (1.008, 1.016)
0–17 years
 Lag 0c411114,3161.014 (1.005, 1.024)1.011 (1.006, 1.016)
 Lag 1d411514,3281.013 (1.004, 1.022)1.010 (1.005, 1.015)
 Lag 0-1e409614,2751.018 (1.008, 1.029)1.014 (1.008, 1.020)
18–44 years
 Lag 0c48,201162,5781.015 (1.012, 1.018)1.013 (1.011, 1.014)
 Lag 1d48,200162,5601.011 (1.008, 1.013)1.008 (1.006, 1.010)
 Lag 0-1e48,053162,0721.017 (1.014, 1.020)1.014 (1.012, 1.015)
45+ years
 Lag 0c10,42544,8031.016 (1.010, 1.022)1.011 (1.008, 1.014)
 Lag 1d10,41544,8111.016 (1.010, 1.022)1.010 (1.007, 1.013)
 Lag 0-1e10,37844,6571.022 (1.015, 1.029)1.014 (1.010, 1.017)
  1. aDefinite homicides, ICD-10: X85-Y09
  2. bIncludes definite homicides and probable homicides (ICD-10: W25-W26, W32-W34, W50, Y22-Y24, Y28-Y29)
  3. cSame day’s temperature
  4. dPrevious day’s temperature
  5. eMoving average of same and previous day’s temperature
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