Male 45.4% 45.2% 45.4% Female 54.6% 54.8% 54.6% Age 74.42 (10.44) 74.02 (9.55) 74.31 (10.21) [46-101] [48-99] [46-101] Education No HS 37.7% 32.2% 36.2% HS Grad 62.3% 67.8% 63.8% Income <$10k 47% 52.7% 48.5% $10k-100k 31% 24.7% 28.9% >$100k 22% 22.6% 22.6% Event type * Cancer 8.2% 15.4% 6.0% Lung 14.0% 15.7% 11.8% Heart 63.3% 25.5% 60.6% Stroke 14.4% 15.2% 21.6% *>100% since each person had multiple health events; standard deviations in parentheses, range in brackets Table 2. Fit indices for one-five class unconditional growth mixture model of health event(s) Model
Male Female 45.4% 54.6% 45.2% 54.8% 45.4% 54.6% Age 74.42 (10.44) [46-101] 74.02 (9.55) [48-99] 74.31 (10.21) [46-101] Education No HS HS Grad 37.7% 62.3% 32.2% 67.8% 36.2% 63.8% Income <$10k $10k-100k >$100k 47% 31% 22% 52.7% 24.7% 22.6% 48.5% 28.9% 22.6% Event type Cancer Lung Heart Stroke 8.2% 14.0% 63.3% 14.4% * 15.4% 15.7% 25.5% 15.2% 6.0% 11.8% 60.6% 21.6% *>100% since each person had multiple health events; standard deviations in parentheses, range in brackets Table 2. Fit indices for one-five class unconditional growth mixture model of health event(s) Model
Morin,-Galatzer-Levy,-Maccallum,-Bonanno-HP-Final.docx