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Research articles

Ambient temperature variation does not influence regional proportion of human male births in New Zealand

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Pages 67-74 | Received 17 May 2011, Accepted 04 Aug 2011, Published online: 15 Dec 2011

Figures & data

Figure 1 Map showing the location of different regions in New Zealand used for the analysis. Note that these regional boundaries are those defined by Statistics New Zealand in 1961. n t =total number of births in dataset; n y =average number of births per year.

Figure 1  Map showing the location of different regions in New Zealand used for the analysis. Note that these regional boundaries are those defined by Statistics New Zealand in 1961. n t =total number of births in dataset; n y =average number of births per year.

Figure 2 The relationship across regions between the mean annual ambient temperature and average proportion of male births (both averaged over 1961–2009). Error bars are 95% confidence intervals.

Figure 2  The relationship across regions between the mean annual ambient temperature and average proportion of male births (both averaged over 1961–2009). Error bars are 95% confidence intervals.

Figure 3 Time series of the proportion of male births and average annual ambient temperature in two contrasting New Zealand regions. A, The warmest region, Northland (overall mean ambient temperature of 15.15 °C). B, The coldest region, Southland (overall mean ambient temperature of 9.87 °C).

Figure 3  Time series of the proportion of male births and average annual ambient temperature in two contrasting New Zealand regions. A, The warmest region, Northland (overall mean ambient temperature of 15.15 °C). B, The coldest region, Southland (overall mean ambient temperature of 9.87 °C).

Table 1  Model coefficients from time series analysis using transfer function (ARIMA) models to estimate the dynamic effects of mean annual ambient temperature on the proportion of males born. This analysis tested for a positive relationship between current or lagged mean annual ambient temperature and the proportion of male births. Only two of 13 coefficients were statistically significant (P < 0.05) for the current year temperature, and just one for the first lag of temperature, with those three coefficients all negative n=49 years of data.

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