“Some people would view that overlap as the truth about a child’s well-being and areas of disagreement as errors, but we need to explore the possibility that they each are seeing different aspects of children’s behavior and mental health.”
Herman and education professor Wendy Reinke completed profile analyses of 643 children in early elementary school to explore how patterns between student, teacher, and parent reporting can be used to gain a holistic picture of a child’s mental health.
They found that even though 30 percent of children in the study reported feeling mildly to severely depressed, parents and teachers often failed to recognize the child as depressed. However, teachers and parents were more skilled at identifying other symptoms that might predict long-term risk for depression, such as social problems, inattention, and skill deficits.
“The gold standard for identifying children who might be at risk for developing depression later in life is to ask the children themselves,” Herman says. “However, even if a child doesn’t say they feel depressed, certain outward behaviors might provide clues to the state of the child’s mental health. It’s important for teachers and parents to catch these behaviors early to prevent long-term problems that occur with depression.”
There are two important steps to address these concerns, Herman says:
1. Mental health professionals can work with teachers and parents to identify depressive symptoms early by including self reports from children in mental health evaluations.
2. Screenings also should consider social difficulties, inattention and skill deficits as this might help provide support to at-risk students before they develop further depressive symptoms.
“Using latent profile and transition analyses to understand patterns of informant ratings of child depressive symptoms,” was published in the Journal of School Psychology. Co-authors include Daniel Cohen, assistant professor at the University of Alabama; Rick Ostrander, associate professor at John Hopkins University; Lori Burrell, research associate at John Hopkins University; Elizabeth McFarlane, associate scientist at John Hopkins University; and Anne Duggan, professor at John Hopkins University.
Funding was provided in part by the Federal Maternal and Child Health Bureau, the Annie E. Casey Foundation, the David and Lucile Packard Foundation, and the Hawaii State Department of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agency.