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A new approach for investigation of person–environment interaction effects in research involving health outcomes

Slaug, Björn LU ; Iwarsson, Susanne LU and Björk, Jonas LU (2018) In European Journal of Ageing p.1-11
Abstract

Recurrent use of the Housing Enabler instrument has highlighted methodological challenges of broader scientific interest, namely interactions between personal functional capacity (P) and exposures to features (here potential barriers) in the built housing environment (E). This study aimed to propose and illustrate an analytic approach, separating P × E interaction effects (here accessibility problems) from main effects of P and E, in studies where P and P × E are strongly interrelated. Four datasets representing different populations of older people in the context of housing were used. The datasets (N = 1910) comprised data on P, E and P × E interactions as well as health-related variables. A two-step analytic procedure was performed:... (More)

Recurrent use of the Housing Enabler instrument has highlighted methodological challenges of broader scientific interest, namely interactions between personal functional capacity (P) and exposures to features (here potential barriers) in the built housing environment (E). This study aimed to propose and illustrate an analytic approach, separating P × E interaction effects (here accessibility problems) from main effects of P and E, in studies where P and P × E are strongly interrelated. Four datasets representing different populations of older people in the context of housing were used. The datasets (N = 1910) comprised data on P, E and P × E interactions as well as health-related variables. A two-step analytic procedure was performed: (1) a measure of environmental barriers net of functional capacity was obtained from residuals of linear regression analysis between P (independent) and P × E (dependent); (2) logistic regression analyses with self-rated general health and I-ADL, respectively, as dependent variables to explore interaction effects using the P × E residuals from the previous step. The association between P and P × E was similar across the four datasets (r ≥ 0.80, p < 0.001). In the logistic regression analyses, including P, both categorized and continuous P × E residuals were clearly associated with self-rated general health (p < 0.001 and p = 0.026), whereas the associations with I-ADL were less consistent (p = 0.275 and p = 0.002, respectively). The new two-step—instead of single-step—analytic approach proposed for investigating P × E interaction effects in studies involving health outcomes emerged as promising. The new approach has the potential of increasing the possibilities to adequately represent theoretical concepts and assumptions and rigorously test their effects.

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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Accessibility, Causal relations, Ecological Theory of Ageing, Housing Enabler, Multi-variable analyses
in
European Journal of Ageing
pages
11 pages
publisher
Springer
external identifiers
  • scopus:85048373090
ISSN
1613-9372
DOI
10.1007/s10433-018-0480-5
language
English
LU publication?
yes
id
225890ff-4c6d-45b0-b5bc-2d2a32dd2c52
date added to LUP
2018-06-25 15:15:34
date last changed
2019-02-07 10:57:22
@article{225890ff-4c6d-45b0-b5bc-2d2a32dd2c52,
  abstract     = {<p>Recurrent use of the Housing Enabler instrument has highlighted methodological challenges of broader scientific interest, namely interactions between personal functional capacity (P) and exposures to features (here potential barriers) in the built housing environment (E). This study aimed to propose and illustrate an analytic approach, separating P × E interaction effects (here accessibility problems) from main effects of P and E, in studies where P and P × E are strongly interrelated. Four datasets representing different populations of older people in the context of housing were used. The datasets (N = 1910) comprised data on P, E and P × E interactions as well as health-related variables. A two-step analytic procedure was performed: (1) a measure of environmental barriers net of functional capacity was obtained from residuals of linear regression analysis between P (independent) and P × E (dependent); (2) logistic regression analyses with self-rated general health and I-ADL, respectively, as dependent variables to explore interaction effects using the P × E residuals from the previous step. The association between P and P × E was similar across the four datasets (r ≥ 0.80, p &lt; 0.001). In the logistic regression analyses, including P, both categorized and continuous P × E residuals were clearly associated with self-rated general health (p &lt; 0.001 and p = 0.026), whereas the associations with I-ADL were less consistent (p = 0.275 and p = 0.002, respectively). The new two-step—instead of single-step—analytic approach proposed for investigating P × E interaction effects in studies involving health outcomes emerged as promising. The new approach has the potential of increasing the possibilities to adequately represent theoretical concepts and assumptions and rigorously test their effects.</p>},
  author       = {Slaug, Björn and Iwarsson, Susanne and Björk, Jonas},
  issn         = {1613-9372},
  keyword      = {Accessibility,Causal relations,Ecological Theory of Ageing,Housing Enabler,Multi-variable analyses},
  language     = {eng},
  month        = {06},
  pages        = {1--11},
  publisher    = {Springer},
  series       = {European Journal of Ageing},
  title        = {A new approach for investigation of person–environment interaction effects in research involving health outcomes},
  url          = {http://dx.doi.org/10.1007/s10433-018-0480-5},
  year         = {2018},
}