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. 2022 Dec 6;19(23):16317. doi: 10.3390/ijerph192316317

Table 4.

Association between principal component scores with NDVI, tree canopy, and leaf area in adjusted models. Beta per IQR of greenness exposure. NDVI IQR = 0.053. Tree canopy IQR = 7.827. Leaf area IQR = 0.278.

Outcome Exposure Adjusted β 95% CI p-Value Adjusted p-Value
PC 1 NDVI 0.161 −0.008, 0.330 0.062 0.111
PC 2 NDVI 0.088 −0.085, 0.262 0.316 0.355
PC 3 NDVI 0.265 0.092, 0.438 0.003 0.026
PC 1 Tree Canopy 0.194 −0.027, 0.415 0.084 0.122
PC 2 Tree Canopy 0.300 0.078, 0.523 0.009 0.026
PC 3 Tree Canopy 0.296 0.068, 0.524 0.011 0.026
PC 1 Leaf Area Index 0.085 −0.116, 0.286 0.404 0.404
PC 2 Leaf Area Index 0.173 −0.030, 0.376 0.095 0.122
PC 3 Leaf Area Index 0.280 0.075, 0.485 0.008 0.026

Values represent adjusted Betas and 95% confidence intervals per IQR of exposure. Principal Component scores were regressed against greenness metrics, adjusting for age, sex, race, income, education, and BMI. PC 1 = Natural vegetation and spaces. PC 2 = Trees. PC 3 = Playgrounds, parks, and sports fields. NDVI = normalized difference vegetation index. Adjusted p-value represents False Discovery rate adjusted p-value using the Benjamini-Hochberg procedure. The adjusted alpha was set at p ≤ 0.028. Significance was set at Adjusted p ≤ 0.05.