1. The number of ART treatment cycles increased with an increase in GDP based on 2012 ICMART data
Considering the different ARTs corresponding to different applicable conditions, we analyzed the correlation between the GDP and the number of cycles of IVF, ICSI, and FET, respectively. Based on ICMART data, we calculated the median of GDP to be 1.53 (0.74–4.36), and the median of the number of cycles of IVF, ICSI, and FET cycles to be 920.0 (277.3-3356.5), 2529.0 (631.5-8988.3), and 713.5 (118.8–5117.0), respectively. As shown in Fig. 1, there was a significant positive correlation between GDP and the number of ART cycles for all its various forms, including IVF (Fig. 1a, CC = 0.695, p < 0.001), ICSI (Fig. 1b, CC = 0.644, p < 0.001), and FET cycles (Fig. 1c, CC = 0.666, p < 0.001). The results suggest that ART treatment cycles increase with an increase in the GDP of a country.
2. The pregnancy and delivery rates both in IVF and ICSI aspiration cycles are negatively correlated with GDP based on 2012 ICMART data.
Next, we tested the correlation between pregnancy and delivery rates in the three regular ART cycles (IVF, ICSI, and FET) and LogGDP using Pearson analysis. The results showed that in IVF cycles, both pregnancy (Fig. 2a, CC=-0.263, p = 0.041) and delivery rate (Fig. 2b, CC=-0.329, p = 0.012) are inversely associated with LogGDP of ICMART countries. Similarly, for ICSI cycles, there was a significant negative correlation between pregnancy (Fig. 2c, CC=-0.394, p = 0.001) and delivery rate (Fig. 2d, CC=-0.417, p = 0.001) and logGDP. However, in FET cycles, we found there was no significant correlation between pregnancy (Fig. 2e, CC=-0.006, p = 0.961) and delivery rate (Fig. 2f, CC=-0.059, p = 0.565) and LogGDP. The data here indicate that the success rate in IVF and ICSI cycles declines with an increase in the GDP of a country.
3. There was no correlation between ART success rate and GDP based on the 2012 ART data of the 50 US states.
Considering the potential influence of complex demographic, geographical, and cultural backgrounds may also affect the correlation between GDP and ART success rate, we used data from 50 US states with relatively lower confounding factors to analyze the relationship between GDP and ART success rate. First, we calculated that the average pregnancy and delivery rates were 41.6 ± 5.9% and 34.2 ± 5.4% in ART cycles, respectively. Subsequently, we analyzed the correlation between ART cycles (excluding FET cycles) and GDP, and the results showed that ART procedures increased with an increase in GDP (Fig. 3a, CC = 0.298, p = 0.036). However, we found that there was no significant relationship between pregnancy (Fig. 3b, CC=-0.019, p = 0.896) and delivery rate (Fig. 3c, CC=-0.078, p = 0.591) and LogGDP.
4. There may be a boundary point to link the correlation between ART success rate and GDP.
Based on the analysis of 2012 ICMART data and 2012 ART data of 50 US states, we found that there was a negative link between ART success rate and GDP in ICMART countries, but no correlation in the US states. Because the median GDP of the US states [5.38 (4.54–6.15)] in 2012 was much higher than that of ICMART countries [1.53 (0.74–4.36)], we speculated that the ART success rate may have nothing to do with GDP when the GDP of one economic body reaches a certain high level. In other words, there may be a correlation between the ART success rate and GDP within a certain GDP range in ICMART members. To estimate the boundary point, we compared the correlative variables at different GDP levels in determining the association between the ART success rate and GDP. As shown in Table 1, when the GDP was set at ≥ twelve thousand dollars, we found there was a significant negative correlation between pregnancy rate only in IVF cycles and GDP (CC=-0.380, p = 0.026); however, when the GDP was over thirteen thousand dollars, there was no statistically significant correlation between pregnancy/delivery rate in IVF and ICSI cycles and GDP. The results indicate that there could be no correlation between ART success rate and GDP when the GDP of economic bodies is greater than thirteen thousand dollars.
Table 1
Spearman correlation analysis between GDP per capita and ART pregnant rate and delivery rate when GDP per capita is ≥ 1.2 or ≥ 1.3, respectively
GDP per capita ≥ 1.2 (LogGDP ≥ 0.08) | | GDP per capita ≥ 1.3 (LogGDP ≥ 0.11) |
| CC | p value | | CC | Mean (deviation) | p value |
IVF-PR n = 34 | -0.380 | 0.026 | IVF-PR n = 31 | -0.320 | 31.7 ± 6.85 | 0.079 |
IVF-DR n = 32 | -0.225 | 0.216 | IVF-DR n = 30 | -0.133 | 23.0 ± 7.4 | 0.483 |
ICSI-PR n = 35 | -0.291 | 0.089 | ICSI-PR n = 32 | -0.205 | 29.3 ± 4.6 | 0.260 |
ICSI-DR n = 33 | -0.090 | 0.620 | ICSI-DR n = 31 | 0.039 | 21.5 ± 4.9 | 0.834 |