Table 9.
Table 9a: Association of LP Loneliness and FP Loneliness Controlling for Depression (Compare with Table 5a) | ||||||
---|---|---|---|---|---|---|
LP Type |
||||||
Nearby Friend | Distant Friend | Nearby Mutual Friend | Nearby LP-Perceived Friend | Coresident Spouse | Non Coresident Spouse | |
Days/Week LP Currently Lonely |
0.28 (0.12) |
−0.09 (0.06) |
0.37 (0.15) |
0.33 (0.28) |
0.03 (0.04) |
−0.05 (0.07) |
Days/Week LP Lonely in Prior Wave |
0.13 (0.07) |
0.07 (0.05) |
0.13 (0.12) |
0.02 (0.07) |
0.01 (0.02) |
−0.03 (0.04) |
Days/Week FP Lonely in Prior Wave |
0.13 (0.13) |
0.14 (0.07) |
0.17 (0.17) |
0.05 (0.06) |
0.11 (0.04) |
0.00 (0.06) |
Exam 7 | −0.03 (0.09) |
−0.08 (0.09) |
−0.18 (0.13) |
−0.24 (0.11) |
0.00 (0.03) |
−0.07 (0.09) |
FP’s Age | 0.00 (0.00) |
0.01 (0.01) |
0.01 (0.01) |
0.02 (0.01) |
0.00 (0.00) |
0.00 (0.00) |
FP Female | −0.01 (0.08) |
0.01 (0.07) |
−0.07 (0.15) |
0.11 (0.14) |
0.05 (0.03) |
0.00 (0.07) |
FP’s Years of Education | −0.01 (0.02) |
0.01 (0.02) |
0.01 (0.02) |
0.04 (0.02) |
0.01 (0.01) |
−0.02 (0.01) |
FP Current Depression Index |
0.07 (0.02) |
0.08 (0.01) |
0.07 (0.04) |
0.06 (0.02) |
0.05 (0.01) |
0.06 (0.02) |
FP Depression Index in Prior Wave |
0.00 (0.02) |
−0.01 (0.01) |
−0.01 (0.02) |
−0.02 (0.01) |
0.00 (0.00) |
0.00 (0.01) |
LP Current Depression Index |
−0.01 (0.01) |
0.01 (0.01) |
−0.02 (0.02) |
0.00 (0.01) |
0.01 (0.00) |
0.01 (0.01) |
LP Depression Index in Prior Wave |
−0.02 (0.01) |
−0.01 (0.01) |
−0.01 (0.01) |
0.00 (0.01) |
0.00 (0.00) |
0.00 (0.01) |
Constant | 0.11 (0.41) |
−0.44 (0.54) |
−0.25 (0.70) |
−1.23 (0.57) |
−0.07 (0.20) |
0.47 (0.35) |
Deviance | 157 | 405 | 87 | 80 | 959 | 146 |
Null Deviance | 353 | 765 | 266 | 126 | 1422 | 219 |
N | 396 | 826 | 182 | 232 | 3040 | 492 |
Table 9b: Association of LP Loneliness and FP Loneliness Controlling for Depression (Compare with Table 5b) | ||||||
---|---|---|---|---|---|---|
LP Type |
||||||
Nearby Sibling | Distant Sibling | Immediate Neighbor | Neighbor within 25M | Neighbor within 100M | Co-worker | |
Days/Week LP Currently Lonely |
0.00 (0.03) |
−0.03 (0.01) |
0.21 (0.09) |
0.04 (0.02) |
−0.05 (0.03) |
0.00 (0.03) |
Days/Week LP Lonely in Prior Wave |
−0.02 (0.02) |
0.03 (0.01) |
0.08 (0.06) |
0.03 (0.06) |
−0.02 (0.03) |
−0.02 (0.02) |
Days/Week FP Lonely in Prior Wave |
0.18 (0.05) |
0.18 (0.04) |
0.39 (0.19) |
0.22 (0.04) |
0.08 (0.06) |
0.18 (0.05) |
Exam 7 | 0.00 (0.05) |
0.03 (0.04) |
0.25 (0.13) |
0.12 (0.06) |
−0.01 (0.10) |
0.00 (0.05) |
FP’s Age | 0.00 (0.00) |
0.00 (0.00) |
0.00 (0.00) |
0.01 (0.00) |
−0.01 (0.01) |
0.00 (0.00) |
FP Female | 0.10 (0.05) |
0.06 (0.04) |
0.14 (0.12) |
0.17 (0.06) |
0.22 (0.09) |
0.10 (0.05) |
FP’s Years of Education |
−0.01 (0.02) |
0.00 (0.01) |
0.02 (0.04) |
0.00 (0.02) |
0.01 (0.02) |
−0.01 (0.02) |
FP Current Depression Index |
0.07 (0.02) |
0.08 (0.01) |
0.07 (0.04) |
0.06 (0.02) |
0.05 (0.01) |
0.06 (0.02) |
FP Depression Index in Prior Wave |
0.00 (0.02) |
−0.01 (0.01) |
−0.01 (0.02) |
−0.02 (0.01) |
0.00 (0.00) |
0.00 (0.01) |
LP Current Depression Index |
−0.01 (0.01) |
0.01 (0.01) |
−0.02 (0.02) |
0.00 (0.01) |
0.01 (0.00) |
0.01 (0.01) |
LP Depression Index in Prior Wave |
−0.02 (0.01) |
−0.01 (0.01) |
−0.01 (0.01) |
0.00 (0.01) |
0.00 (0.00) |
0.00 (0.01) |
Constant | 0.82 (0.43) |
0.71 (0.29) |
−0.33 (0.68) |
−0.01 (0.34) |
1.02 (0.39) |
0.82 (0.43) |
Deviance | 659 | 2114 | 103 | 896 | 3323 | 301 |
Null Deviance | 991 | 3127 | 360 | 1699 | 5244 | 630 |
N | 1748 | 5054 | 300 | 1562 | 5540 | 1140 |
Coefficients and standard errors in parenthesis for linear regression of days per week FP feels lonely on covariates are shown. Observations for each model are restricted by type of relationship (e.g., the leftmost model includes only observations in which the FP named the LP as a “sibling” in the previous and current period, and the sibling is “nearby” – i.e. lives no more than 1 mile away). Models were estimated using a general estimating equation with clustering on the FP and an independent working covariance structure (Liang & Zeger, 1986; Schildcrout & Heagerty, 2005). Models with an exchangeable correlation structure yielded poorer fit. Fit statistics show sum of squared deviance between predicted and observed values for the model and a null model with no covariates (Wei, 2002).