Patricia A. Berglund
University of Michigan
StatisticsEpidemiologyPsychiatryNational Comorbidity SurveyMental healthPublic healthDemographyPsychologyOccupational safety and healthInjury preventionYoung adultPsychological interventionMood disordersAge of onsetComorbidityMoodPopulationPoison controlAnxietyClinical psychologyMedicineGerontology
83Publications
46H-index
35.6kCitations
Publications 81
Newest
#1Bethany C. Bray (UIC: University of Illinois at Chicago)H-Index: 24
#1Bethany C. Bray (UIC: University of Illinois at Chicago)H-Index: 3
Last. Megan E. Patrick (UM: University of Michigan)H-Index: 58
view all 4 authors...
Individuals' reasons for marijuana use have been linked to their risk for continued use and development of disordered use. Although individuals tend to have multiple reasons for use, co-occurrence of reasons is not always accounted for in analytic approaches. Latent transition analysis (LTA) is ideal for modeling transitions in co-occurring reasons. Using longitudinal panel data from Monitoring the Future, LTA was used to identify profiles of self-reported reasons for marijuana use among young a...
Source
#1Megan E. Patrick (UMN: University of Minnesota)H-Index: 58
#2Patricia A. Berglund (UM: University of Michigan)H-Index: 46
Last. Bethany C. Bray (UIC: University of Illinois at Chicago)H-Index: 24
view all 4 authors...
Abstract Background This study examines whether longitudinal patterns of persistent or experimental heavy substance use across young adulthood were associated with physical and mental health in midlife. Methods Data (N = 21,347) from Monitoring the Future from adolescence (age 18) to midlife (age 40) were used. Repeated measures latent class analysis modeled patterns of patterns of cigarettes, alcohol, marijuana, and other illicit drugs across young adulthood (ages 18 to 30). Latent classes were...
3 CitationsSource
#1Trivellore E. Raghunathan (UM: University of Michigan)H-Index: 68
#2Kaushik Ghosh (NBER: National Bureau of Economic Research)H-Index: 10
Last. David M. Cutler (Harvard University)H-Index: 107
view all 10 authors...
Source
#1Steven G. Heeringa (UM: University of Michigan)H-Index: 57
#2Patricia A. Berglund (UM: University of Michigan)H-Index: 46
Abstract: ABCD is a longitudinal, observational study of U.S. children, ages 9-10 at baseline, recruited at random from the household populations in defined catchment areas for each of 21 study sites. The 21 geographic locations that comprise the ABCD research sites are nationally distributed and generally represent the range of demographic and socio-economic diversity of the U.S. birth cohorts that comprise the ABCD study population. The clustering of participants and the potential for selectio...
16 CitationsSource
Last. Peter W. SolenbergerH-Index: 2
view all 3 authors...
Source
Last. Peter W. SolenbergerH-Index: 2
view all 3 authors...
Source
Last. Peter W. SolenbergerH-Index: 2
view all 3 authors...
Source
Last. Peter W. SolenbergerH-Index: 2
view all 3 authors...
Source
Last. Peter W. SolenbergerH-Index: 2
view all 3 authors...
Source
Last. Peter W. Solenberger (UM: University of Michigan)H-Index: 2
view all 3 authors...