Examining neighborhood effects on mental health utilizing a novel two-stage modeling approach
Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved..
PURPOSE: Neighborhood conditions may affect health, but health may also determine a preference for where to live. This study estimates the effect of neighborhood characteristics on mental health while aiming to adjust for this residential self-selection.
METHODS: A two-step method was implemented using register data from Statistics Netherlands from all residents of the city of Rotterdam relocating within the city in 2013 (N = 12,456). First, using a conditional logit model, we estimated for each individual the probability of relocating to a neighborhood over all other neighborhoods in Rotterdam, based on personal and neighborhood characteristics in 2013. Second, we corrected this selection process in a model investigating the effects of neighborhood characteristics in 2014 on reimbursed anti-depressant or anti-psychotic medication in 2016.
RESULTS: Personal and neighborhood characteristics predicted neighborhood choice, indicating strong patterns of selection into neighborhoods. Unadjusted for selection log neighborhood income was associated with reimbursed medication (β = -0.040, 95% CI = -0.060, -0.020), but the association strongly attenuated after controlling for self-selection into neighborhoods (β = -0.010, 95% CI = -0.030, 0.011). The opposite was observed for contact with neighbors; unadjusted for self-selection there was no association (β = -0.020, 95% CI = -0.073, 0.033), but after adjustment increased neighborhood contact was associated with an 8.5% relative reduction in reimbursed medication (β = -0.075, 95% CI = -0.126, -0.025).
CONCLUSIONS: The method illustrated in this study offers new opportunities to disentangle selection from causation in neighborhood health research.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:83 |
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| Enthalten in: |
Annals of epidemiology - 83(2023) vom: 03. Juli, Seite 60-70.e7 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Boderie, Nienke W [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 12.06.2023 Date Revised 19.11.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.annepidem.2023.04.012 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM356037266 |
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| 245 | 1 | 0 | |a Examining neighborhood effects on mental health utilizing a novel two-stage modeling approach |
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| 500 | |a Date Completed 12.06.2023 | ||
| 500 | |a Date Revised 19.11.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a PURPOSE: Neighborhood conditions may affect health, but health may also determine a preference for where to live. This study estimates the effect of neighborhood characteristics on mental health while aiming to adjust for this residential self-selection | ||
| 520 | |a METHODS: A two-step method was implemented using register data from Statistics Netherlands from all residents of the city of Rotterdam relocating within the city in 2013 (N = 12,456). First, using a conditional logit model, we estimated for each individual the probability of relocating to a neighborhood over all other neighborhoods in Rotterdam, based on personal and neighborhood characteristics in 2013. Second, we corrected this selection process in a model investigating the effects of neighborhood characteristics in 2014 on reimbursed anti-depressant or anti-psychotic medication in 2016 | ||
| 520 | |a RESULTS: Personal and neighborhood characteristics predicted neighborhood choice, indicating strong patterns of selection into neighborhoods. Unadjusted for selection log neighborhood income was associated with reimbursed medication (β = -0.040, 95% CI = -0.060, -0.020), but the association strongly attenuated after controlling for self-selection into neighborhoods (β = -0.010, 95% CI = -0.030, 0.011). The opposite was observed for contact with neighbors; unadjusted for self-selection there was no association (β = -0.020, 95% CI = -0.073, 0.033), but after adjustment increased neighborhood contact was associated with an 8.5% relative reduction in reimbursed medication (β = -0.075, 95% CI = -0.126, -0.025) | ||
| 520 | |a CONCLUSIONS: The method illustrated in this study offers new opportunities to disentangle selection from causation in neighborhood health research | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Mental health | |
| 650 | 4 | |a Neighborhood effects | |
| 650 | 4 | |a Selection | |
| 700 | 1 | |a van Kippersluis, Hans |e verfasserin |4 aut | |
| 700 | 1 | |a Been, Jasper V |e verfasserin |4 aut | |
| 700 | 1 | |a van Lenthe, Frank J |e verfasserin |4 aut | |
| 700 | 1 | |a Oude Groeniger, Joost |e verfasserin |4 aut | |
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