Individual level predictors of treatment use: A disaggregation of within- and between-person associations

Objective Studies showing associations between impaired clinical functioning and treatment use are predominantly based on cross-sectional comparisons or a limited number of longitudinal assessments. Using these designs, it is unknown whether individuals engage in treatment on occasions of within-person symptom increases or social support reductions. This study examined the relations between depressive symptoms, family and friend support, and self-reported stressors and treatment use. Method Participants ( N = 1417) completed up to seven annual assessments assessing the study constructs. Multilevel modeling was used to examine the relations between fluctuations in depressive symptoms, family and friend support, and perceived life events and treatment use concurrently and prospectively. Results We found that within-person fluctuations in depressive symptoms were associated with treatment use concurrently, as well as at the next annual assessment, controlling for family and friend support and self-reported stressors. Fluctuations in family and friend support and self-reported stressors were inconsistently associated with treatment use controlling for depressive symptoms. Conclusions Consistent with prevailing expectations, we found that fluctuations in depressive symptoms were most consistently associated with concurrent and future treatment use. Thus, individuals are more likely to use treatment when they are experiencing higher levels of symptoms than they usually experience.

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Publication Details

Journal
Behaviour Research and Therapy
Published
2026-09-12
DOI
https://doi.org/10.1016/j.brat.2026.105153
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
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article

Individual level predictors of treatment use: A disaggregation of within- and between-person associations

Suzanne Vrshek‐Schallhorn, Daniel N. Klein, Alessandra R. Grillo, Paul Rohde et al.
Behaviour Research and Therapy
Mental Health Treatment and Access
article

Individual level predictors of treatment use: A disaggregation of within- and between-person associations

Suzanne Vrshek‐Schallhorn, Daniel N. Klein, Alessandra R. Grillo, Paul Rohde, Thomas M. Olino, Samantha Sorid, Hannah Roberts, John R. Seeley
article en

Abstract

Objective Studies showing associations between impaired clinical functioning and treatment use are predominantly based on cross-sectional comparisons or a limited number of longitudinal assessments. Using these designs, it is unknown whether individuals engage in treatment on occasions of within-person symptom increases or social support reductions. This study examined the relations between depressive symptoms, family and friend support, and self-reported stressors and treatment use. Method Participants ( N = 1417) completed up to seven annual assessments assessing the study constructs. Multilevel modeling was used to examine the relations between fluctuations in depressive symptoms, family and friend support, and perceived life events and treatment use concurrently and prospectively. Results We found that within-person fluctuations in depressive symptoms were associated with treatment use concurrently, as well as at the next annual assessment, controlling for family and friend support and self-reported stressors. Fluctuations in family and friend support and self-reported stressors were inconsistently associated with treatment use controlling for depressive symptoms. Conclusions Consistent with prevailing expectations, we found that fluctuations in depressive symptoms were most consistently associated with concurrent and future treatment use. Thus, individuals are more likely to use treatment when they are experiencing higher levels of symptoms than they usually experience.

Behaviour Research and TherapyVol. 205
Oregon Research Institute (US), University of North Carolina at Greensboro (US), University of Oregon (US), Temple College (US), Stony Brook University (US), Temple University (US)
Reduced inequalities
Openalex Percentile: Top 6%
Mental Health Treatment and Access
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