2022
DOI: 10.1111/jcpp.13572
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Within‐family relations of mental health problems across childhood and adolescence

Abstract: Background: While transactional models suggest that parent and child mental health reciprocally influence one another over development, research has largely focused on parent-to-child effects. Additionally, it is not known whether observed associations hold when appropriate statistical tools are used to operationalise within-family dynamics. Methods: We investigated within-family mental health dynamics using autoregressive latent trajectory models with structured residuals, stratified by child gender. Parental… Show more

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Cited by 21 publications
(30 citation statements)
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References 46 publications
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“…These randomintercepts are allowed to covary and thereby account for stable between-person effects that may be associated with both student-teacher relationships and oppositional defiant behaviors towards teachers. This specification thus allows the model to implicitly control for stable between-person covariates such as ethnicity or socio-economic status, making the explicit inclusion of such covariates in the model unnecessary (Speyer et al, 2022). Subsequently, the cross-lagged section of the analysis allows for the investigation of time-lagged associations between the two selected measures while controlling for the autoregressive pathways estimating the association between the within-person deviations of the variables at time t with time t +1 .…”
Section: Plan Of Analysismentioning
confidence: 99%
“…These randomintercepts are allowed to covary and thereby account for stable between-person effects that may be associated with both student-teacher relationships and oppositional defiant behaviors towards teachers. This specification thus allows the model to implicitly control for stable between-person covariates such as ethnicity or socio-economic status, making the explicit inclusion of such covariates in the model unnecessary (Speyer et al, 2022). Subsequently, the cross-lagged section of the analysis allows for the investigation of time-lagged associations between the two selected measures while controlling for the autoregressive pathways estimating the association between the within-person deviations of the variables at time t with time t +1 .…”
Section: Plan Of Analysismentioning
confidence: 99%
“…Within‐person homotypic paths ranged between .19 and .41 for internalizing problems and between .36 and .64 for externalizing problems (standardized coefficients); cross‐lagged paths between <.05 (no effect sizes were given for nonsignificant paths) and .24. Gender‐specific ALT‐SR analyses on six waves (age 3–17 years) of the same cohort yielded roughly comparable figures (Speyer, Hall, Hang, Hughes, & Murray, 2022). Murray et al.…”
Section: Sources Of Stabilitymentioning
confidence: 81%
“…(2020) did not find consistent indications for such a trend, and Speyer et al. (2022) reported it for internalizing, but not externalizing problems. Heterotypic stability estimates do not show consistent age effects either, possibly partly due to the reversal of the direction of the within‐person effect of externalizing problems on internalizing problems suggested above.…”
Section: Sources Of Stabilitymentioning
confidence: 94%
“…Models were unadjusted for covariates because the fact that in the ALT‐SR each individual is compared to themselves over time means that it automatically adjusts for unmeasured time‐stable between‐person effects (Speyer, Hall, Hang, Hughes, & Murray, 2021 ). This may include, for example, the potential confounding effects of gender, genetics, and stable aspects of the family environment.…”
Section: Methodsmentioning
confidence: 99%