@article{8a47d5c6eebb455d8edf540cffd258e0,
title = "Context-dependent approach and avoidance behavioral profiles as predictors of psychopathology",
abstract = "Inhibition (a temperamental profile characterized by elevated levels of avoidance behaviors) is associated with increased likelihood for developing anxiety and depression, whereas exuberance (a temperamental profile characterized by elevated levels of approach behaviors) is associated with increased likelihood for developing externalizing conditions (e.g., attention deficit/hyperactivity disorder and conduct disorder). However, not all children who exhibit high levels of approach or avoidance behaviors develop emotional or behavioral problems. In this preregistered study, we assessed context-dependent profiles of approach and avoidance behaviors in 3-year-old children (N = 366). Using latent profile analysis, four groups were identified: nonsocial approachers, social approachers, social avoiders, and nonsocial avoiders. Analyses revealed that there were minimal differences in internalizing and externalizing symptoms across the four context-dependent groups. However, exploratory analyses assessed whether high levels of approach or avoidance combined across contexts, similar to findings reported in prior work, were related to psychopathology. Children identified as high in avoidance behavior at 3 years of age were more likely to show internalizing symptoms at 3 years of age but not at 5 years of age. Children high in approach were more likely to meet criteria for anxiety and externalizing disorders by age 5 years. These findings further our understanding of individual differences in how young children adjust their behavior based on contextual cues and may inform methods for identifying children at increased likelihood for the development of emotional and behavioral problems. Research Highlights: Context-dependent approach and avoidance profiles were identified in 3-year-old children using a person-centered approach. Children who were high in approach behavior, regardless of context, at age three had a higher likelihood for developing an anxiety or externalizing disorder by age five. These findings may help identify children at increased risk of developing emotional and behavioral problems.",
keywords = "approach, behavioral motivation, behavioral problems, person-centered, psychopathology",
author = "Kelsey, \{Caroline M.\} and Anna Fasman and Kelsey Quigley and Kelli Dickerson and Enlow, \{Michelle Bosquet\} and Nelson, \{Charles A.\}",
note = "Study data were collected and managed using Research Electronic Data Capture (REDCap) tools hosted at Boston Children's Hospital (Harris et al., 2009). REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing: (1) an intuitive interface for validated data entry; (2) audit trails for tracking data manipulation and export procedures; (3) automated export procedures for seamless data downloads to common statistical packages; and (4) procedures for importing data from external sources. We would like to thank the emotion project team, including Lindsay Bowman, Margaret (Maggie) Modico, Adelia (Ada) Kamenetskiy, Katie Vincent, and Jebediah Taylor, for their contributions to this project. We thank all of the study families for their participation. This work was supported by the National Institute of Mental Health (R01 MH078829; to CAN and MBE) and a Tommy Fuss Center Innovation Award from the Tommy Fuss Center for Neuropsychiatric Disease Research at Boston Children's Hospital (to MBE). This work was also supported by the National Institute of Child Health and Human Development (F32 HD105312-01A1; to CMK). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health of the National Institutes of Health. Study data were collected and managed using Research Electronic Data Capture (REDCap) tools hosted at Boston Children's Hospital (Harris et al., 2009 ). REDCap (Research Electronic Data Capture) is a secure, web‐based application designed to support data capture for research studies, providing: (1) an intuitive interface for validated data entry; (2) audit trails for tracking data manipulation and export procedures; (3) automated export procedures for seamless data downloads to common statistical packages; and (4) procedures for importing data from external sources. We would like to thank the emotion project team, including Lindsay Bowman, Margaret (Maggie) Modico, Adelia (Ada) Kamenetskiy, Katie Vincent, and Jebediah Taylor, for their contributions to this project. We thank all of the study families for their participation. This work was supported by the National Institute of Mental Health (R01 MH078829; to CAN and MBE) and a Tommy Fuss Center Innovation Award from the Tommy Fuss Center for Neuropsychiatric Disease Research at Boston Children's Hospital (to MBE). This work was also supported by the National Institute of Child Health and Human Development (F32 HD105312‐01A1; to CMK). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health of the National Institutes of Health.",
year = "2024",
month = may,
doi = "10.1111/desc.13469",
language = "English (US)",
volume = "27",
journal = "Developmental science",
issn = "1363-755X",
publisher = "Wiley-Blackwell",
number = "3",
}