Page 60 - IJPS-9-1
P. 60

International Journal of
            Population Studies                                     Neighborhood social cohesion and self-reported depression



            one-tenth reported SRD. Bivariate analyses showed a
            significant difference across age groups with those over     UL  1.90  1.03  1.00  1.03  0.80  2.40  2.26  4.78  4.31
            65 years of age scoring the highest levels of SRD. There   95% CI
            was a significant difference in SRD by country of birth,     LL  0.58  0.28  0.96  0.80  0.16  0.17  0.57  2.22  1.28
            with those born in the United  Kingdom scoring higher      OR   1.05  0.54  0.98  0.91  0.35  0.64  1.14  3.26  2.34
            (16.31%) than those born in Ireland (10.83%). There was
            also a significant difference in SRD across domains of PSS   Model 4  p  0.87  0.06  0.03  0.12  0.01  0.51  0.71  0.00  0.00
            with lower social support related to depression. Likewise,
            those  who  did  not  feel  safe  in  their  neighborhood  were   SE  0.30  0.33  0.01  0.06  0.41  0.67  0.35  0.20  0.31  103.29 (9), p=0.001
            more likely to report SRD.
                                                                       B    0.05  −0.62  −0.02  −0.10  −1.04  −0.45  0.13  1.18  0.85  328.05  0.31
            3.2. Results of regression predicting SRD
            Bivariate correlation between predictors showed the          UL  1.86  0.99  0.99  1.02  0.68  2.50  2.21  5.16
            strongest relationships between SRD and unemployment       95% CI
            (r  = −0.54,  p = 0.001) and PSN and SRD (r = −0.18,         LL  0.58  0.28  0.95  0.79  0.14  0.20  0.57  2.44
            p  =  0.001),  which  indicated  multicollinearity  was  within   OR  1.04  0.52  0.97  0.90  0.31  0.71  1.12  3.54
            acceptable levels (table available on request). The variance
            inflation factor values of the independent variables were   Model 3  p  0.91  0.05  0.01  0.09  0.00  0.59  0.73  0.00
            lower than the common cut-off threshold of 3.0 (Miles
            & Shevling, 2001). Table 2 provides hierarchical multiple   SE  0.30  0.33  0.01  0.06  0.40  0.65  0.35  0.19  97.76 (8), p=0.001
            regression results predicting SRD. In the first model, both
            PNS and PSS were significantly associated with SRD. For    B    0.03  −0.65  −0.03  −0.11  −1.17  −0.35  0.12  1.27  333.96  0.29
            each unit increase in PSS, participants were 1.20  times
            less likely to report SRD. Feeling unsafe was related to   95% CI  UL  2.01  0.76  1.03  0.95  0.46  3.04  2.93
            SRD (OR = 0.22, p = 0.001 0.00) and those who reported       LL  0.69  0.24  1.00  0.75  0.11  0.37  0.85
            feeling safe were 4.54  times less likely to report SRD.
            With the inclusion of risk exposure variables, the model   OR   1.17  0.42  1.01  0.84  0.23  1.06  1.58
            remained a significant predictor of SRD and accounted for   Model 2                            B: Standardized coefficients; CI: Confidence interval; LL: Lower limit; OR: Odds ratio; PD: Perceived discrimination; PNS: Perceived neighborhood safety; PSS: Perceived social support;
            nearly a quarter of the variance in SRD. The inclusion of   p   0.56  0.00  0.07  0.00  0.00  0.92  0.15
            unemployment and social housing in the second step and     SE   0.27  0.30  0.01  0.06  0.36  0.54  0.32
            SRGH in the third step made minimal difference to the                                   44.83 (7), p=0.001
            model. With the inclusion of perceived discrimination in   B    0.16  −0.86  0.01  −0.17  −1.48  0.06  0.46  386.54  0.14
            the fourth step, PSS no longer significantly predicted SRD.
            On the other hand, PNS remained a significant predictor of   UL  2.01  0.83  1.02  0.94  0.43
            SRD (OR = 0.35, p = 0.01). Inverting this statistic showed   95% CI
            that with those reporting feeling safe in their neighborhood   LL  0.69  0.27  1.00  0.74  0.11
            were 2.85 times less likely to report SRD. In the final two
            models, those who had perceived any form of discrimination   OR  1.18  0.48  1.01  0.83  0.22
            in the past year were significantly more likely to report SRD.   Model 1  p  0.54  0.01  0.16  0.00  0.00
            We conducted a backward selection, removing the variables
            with the lowest predictive power (employment, gender, and   SE  0.27  0.29  0.01  0.06  0.35  42.68 (5), p=0.001
            housing). We observed no differences in model fit statistics                              388.64
            and significances of predictor variables.           Table 2. Logistic regression predicting self‑reported depression  B  0.17  −0.74  0.01  −0.18  −1.53  0.13
              The model with interaction effects was a significant
            predictor of SRD, R  = 0.36, F (1, 10) = 118.39, p = 0.001.
                            2
            Results showed a significant interaction between PNS and
            age, although the effect was small (B = 0.07,  p  =  0.001,
            OR = 1.07). Table 3 provides data from the pick-a-point           Country of birth (UK/Ireland)  SE: Standard error; UL: Upper limit
            method. As illustrated by Figure 1, at 65 years, PNS was                    Employment (Yes/No)  Housing (Social/Private)
            not significantly associated with SRD (B = 0.11, SE = 0.58,     Gender (Female)
            p = 0.84). For participants at 45  years old, feeling safe             PSS (Scale)  PNS (No)  SRGH   PD (Yes)  Model fit
            in their neighborhood was associated with reduced                    Age                χ 2  ‑2LL  R 2


            Volume 9 Issue 1 (2023)                         54                         https://doi.org/10.36922/ijps.431
   55   56   57   58   59   60   61   62   63   64   65