Table 1.

Meta-analysis results for the effect of Normalized Difference Vegetation Index (NDVI) increase on birth weight (standardized regression coefficients, quality effects model); LCI–Lower95%CI; UCI–Upper95%CI; β- standardized regression coefficient.

Study	β	LCI 95%	UCI 95%	Weight (%)
2019, Yin	0.0004	0.0012	−0.0003	3.79
2019, Dzhambov et al. (UIT)	0.0163	−0.0010	0.0340	0.65
2019, Dzhambov et al. (BBT)	0.0024	−0.0080	0.0130	0.66
2019, Eriksson et al.	0.0009	−0.0060	0.0080	0.68
2019, Nieuwenhuijsen et al.	0.0056	0.0041	0.0072	1.42
2018, Agay Shay et al.	0.0011	0.0006	0.006	10.30
2018, Cusack et al.	0.0028	−0.0026	0.0082	0.78
2018, Fog C. et al.	0.0005	0.0003	0.0007	39.45
2018, Glazer et al.	0.0021	−0.0001	0.0042	1.10
2017, Cusack et al. (Portland)	−0.0008	−0.0020	0.0004	1.98
2017, Cusack et al. (Austin)	0.0004	−0.0010	0.0017	1.73
2017, Abelt et al.	0.0019	0	0.0038	1.10
2015, Grazuleviciene et al.	0.0014	−0.0008	0.0037	0.92
2014, Agay-Shay et al.	0.0018	0.0012	0.0023	6.61
2016, Cusack et al.	0.0004	0	0.0008	13.42
2016, Casey et al.	0.0043	−0.0001	0.0088	0.84
2014, Hystad et al.	0.0035	0.0028	0.0042	5.10
2014b, Dadvand et al.	0.0037	0.0004	0.0070	0.88
2013, Markevych et al.	0.0039	0.0002	0.0076	0.85
2013, Laurent et al.	0.0001	−0.0004	0.0007	6.17
2012b, Dadvand et al.	0.0087	0.0004	0.017	0.67
2012a, Dadvand et al.	−0.0011	−0.0040	0.0015	0.88
Pooled	0.001	0.0002	0.0020	100
Statistics
I-squared	86.4852	80.8324	90.4710
Cochran’s Q	155.3858
Chi2, p	0
Q-Index	15.6628

UIT: A Survey conducted in the Lower Inn Valley. Austria in 1998; BBT: A Survey conducted in the Wipp Valley, Austria and Italy.