OBJECTIVES: To explore the temporal relationship and reversed effects between health and perception of the indoor environment using structural equation models. METHODS: The study was a two-phase prospective questionnaire study with a cross-lagged design. Altogether 1,740 adults participated on both occasions. RESULTS: The perceived indoor environment had only weak effects on health at follow-up. However, the results strongly indicated a reversed effect that health problems may lead to increased complaints about the indoor environment. CONCLUSIONS: Structural equation models are powerful analytical tools for disentangling the effects of a specific variable on another in high dimensional data with complex patterns of associations. The analyses confirmed the results of our previous logistic regression analysis about the strong reversed effect. Hence, it is probable that a reversed effect between health and complaints about the indoor environment exists.
OBJECTIVES: To explore the temporal relationship and reversed effects between health and perception of the indoor environment using structural equation models. METHODS: The study was a two-phase prospective questionnaire study with a cross-lagged design. Altogether 1,740 adults participated on both occasions. RESULTS: The perceived indoor environment had only weak effects on health at follow-up. However, the results strongly indicated a reversed effect that health problems may lead to increased complaints about the indoor environment. CONCLUSIONS: Structural equation models are powerful analytical tools for disentangling the effects of a specific variable on another in high dimensional data with complex patterns of associations. The analyses confirmed the results of our previous logistic regression analysis about the strong reversed effect. Hence, it is probable that a reversed effect between health and complaints about the indoor environment exists.
Authors: Mika Kivimäki; Marko Elovainio; Jussi Vahtera; Jari-Erik Nurmi; Taru Feldt; Liisa Keltikangas-Järvinen; Jaana Pentti Journal: J Psychosom Res Date: 2002-04 Impact factor: 3.006
Authors: Jenni Ervasti; Mika Kivimäki; Ichiro Kawachi; S V Subramanian; Jaana Pentti; Tuula Oksanen; Riikka Puusniekka; Tiina Pohjonen; Jussi Vahtera; Marianna Virtanen Journal: BMC Public Health Date: 2012-09-11 Impact factor: 3.295
Authors: Eerika Finell; Asko Tolvanen; Juha Pekkanen; Jaana Minkkinen; Timo Ståhl; Arja Rimpelä Journal: Int J Environ Res Public Health Date: 2018-07-16 Impact factor: 3.390