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Original Article |

Differential Mental Health Effects of Neighborhood Relocation Among Youth in Vulnerable Families:  Results From a Randomized Trial

Theresa L. Osypuk, ScD, ScM; Eric J. Tchetgen Tchetgen, PhD; Dolores Acevedo-Garcia, PhD; Felton J. Earls, MD; Alisa Lincoln, PhD; Nicole M. Schmidt, PhD; M. Maria Glymour, ScD
Arch Gen Psychiatry. 2012;69(12):1284-1294. doi:10.1001/archgenpsychiatry.2012.449.
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Context  Extensive observational evidence indicates that youth in high-poverty neighborhoods exhibit poor mental health, although not all children may be affected similarly.

Objective  To use experimental evidence to assess whether gender and family health problems modify the mental health effects of moving from high- to low-poverty neighborhoods.

Design  Randomized controlled trial.

Setting  Volunteer low-income families in public housing in 5 US cities between 1994-1997.

Participants  We analyze 4- to 7-year outcomes in youth aged 12 to 19 years (n = 2829, 89% effective response rate) in the Moving to Opportunity Study.

Intervention  Families were randomized to remain in public housing (control group) or to receive government-funded rental subsidies to move into private apartments (experimental group). Intention-to-treat analyses included intervention interactions by gender and health vulnerability (defined as prerandomization health/developmental limitations or disabilities in family members).

Main Outcome Measures  Past-year psychological distress (Kessler 6 scale [K6]) and the Behavioral Problems Index (BPI). Supplemental analyses used past-year major depressive disorder (MDD).

Results  Male gender (P = .02) and family health vulnerability (P = .002) significantly adversely modified the intervention effect on K6 scores; male gender (P = .01), but not health vulnerability (P = .17), significantly adversely modified the intervention effect on the BPI. Girls without baseline health vulnerabilities were the only subgroup to benefit on any outcome (K6: β = −0.21; 95% CI, −0.34 to −0.07; P = .003; MDD: odds ratio = 0.42; 95% CI, 0.20 to 0.85; P = .02). For boys with health vulnerabilities, intervention was associated with worse K6 (β = 0.26; 95% CI, 0.09 to 0.44; P = .003) and BPI (β = 0.24; 95% CI, 0.09 to 0.40; P = .002) values. Neither girls with health vulnerability nor boys without health vulnerability experienced intervention benefits. Adherence-adjusted instrumental variable analysis found intervention effects twice as large. Patterns were similar for MDD, but estimates were imprecise owing to low prevalence.

Conclusions  Although some girls benefited, boys and adolescents from families with baseline health problems did not experience mental health benefits from housing mobility policies and may need additional program supports.

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Figures

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Figure 1. Moving to Opportunity trial (MTO) youth enrollment, intervention allocation, and attrition. *The 2002 interim survey yielded an 89% effective response rate (RR) using a 2-stage follow-up sampling strategy, calculated as RR = MRR + SRR × (1 − MRR), where MRR indicates the RR for the main sample (respondents initially responding to the 2002 survey interview request); SRR, the RR for the subsample (a second attempt to find every 3 in 10 hard-to-reach families initially nonresponsive in 2002).15 RAD indicates Restricted Access Data.

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Figure 2. Moving to Opportunity trial intervention effects on mean difference in psychological distress 4 to 7 years after baseline modified by gender and health vulnerability. A, Linear regression intention-to-treat (ITT) estimates. B, Adherence-adjusted estimates of intervention effects from the second-stage instrumental variable (IV) analysis. The primary hypothesis tested whether the intervention × health vulnerability interaction coefficient was significantly different from zero. Intervention × health vulnerability interaction results for ITT were β (SE) = 0.223 (0.092); 95% CI, 0.042 to 0.404; P = .02 and for IV were β (SE) = 0.478 (0.192); 95% CI, 0.102 to 0.854; P = .01. Models were adjusted for the covariates listed in Table 2 plus the intervention × baseline health vulnerability interaction. Subgroup sample size is 875 for nonvulnerable girls, 551 for vulnerable girls, 761 for nonvulnerable boys, and 642 for vulnerable boys. Error bars represent 95% CI for the mean.

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Figure 3. Moving to Opportunity trial intervention effects on mean difference in behavior problems 4 to 7 years after baseline modified by gender and health vulnerability. A, Linear regression intention-to-treat (ITT) estimates. B, Adherence-adjusted estimates of intervention effects from the second-stage instrumental variable (IV) analysis. The primary hypothesis test tested whether the intervention × health vulnerability interaction coefficient was significantly different from zero. Intervention × health vulnerability interaction results for ITT were β (SE) = 0.122 (0.090); 95% CI, −0.054 to 0.298; P = .17 and for IV were β (SE) = 0.279 (0.183); 95% CI, −00.079 to 0.638; P = .13. Models were adjusted for the covariates listed in Table 2 plus the intervention × baseline health vulnerability interaction. Subgroup sample size is 875 for nonvulnerable girls, 551 for vulnerable girls, 761 for nonvulnerable boys, and 642 for vulnerable boys. Error bars represent 95% CI for the mean.

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Figure 4. Moving to Opportunity trial intervention effects on mean difference in behavior problems 4 to 7 years after baseline modified by gender and health vulnerability, by site. A, Linear regression intention-to-treat estimates by site. B, Adherence-adjusted estimates of intervention effects from second-stage instrumental variable analysis by site. NVB indicates nonvulnerable boys; NVG, nonvulnerable girls; VB, vulnerable boys; and VG, vulnerable girls. The primary hypothesis tested whether the intervention × health vulnerability interaction coefficient was significantly different from zero. Models were adjusted for the covariates listed in Table 2 plus the intervention × baseline health vulnerability interaction. Subgroup sample sizes are as follows: nonvulnerable girls: 145 for Baltimore, 165 for Boston, 193 for Chicago, 193 for Los Angeles, and 179 for New York; vulnerable girls: 79 for Baltimore, 133 for Boston, 113 for Chicago, 56 for Los Angeles, and 170 for New York; nonvulnerable boys: 136 for Baltimore, 136 for Boston, 161 for Chicago, 191 for Los Angeles, and 137 for New York; and vulnerable boys: 88 for Baltimore, 141 for Boston, 134 for Chicago, 90 for Los Angeles, and 189 for New York. Error bars represent 95% CI for the mean.

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References

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