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Peter M. Lewinsohn
Oregon Research Institute
269Publications
94H-index
30.4kCitations
Publications 269
Newest
Published on Jan 1, 2019in Assessment 3.80
Thomas M. Olino31
Estimated H-index: 31
(TU: Temple University),
Laura Benini (TU: Temple University)+ 4 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
Numerous studies have focused on characterizing personality differences between individuals with and without psychopathology. For drawing valid conclusions for these comparisons, the personality instruments used must demonstrate psychometric equivalence. However, we are unaware of any studies that examine measurement invariance in personality across individuals with and without psychopathology. This study conducted tests of measurement invariance for positive emotionality, negative emotionality,...
Published on Sep 1, 2018in Psychology of Addictive Behaviors 2.97
Richard F. Farmer15
Estimated H-index: 15
(Oregon Research Institute),
John R. Seeley79
Estimated H-index: 79
(UO: University of Oregon)
+ 5 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
Published on Aug 1, 2018in Journal of Affective Disorders 4.08
Cecilia A. Essau36
Estimated H-index: 36
(University of Roehampton),
Satoko Sasagawa11
Estimated H-index: 11
(Mejiro University)
+ 1 AuthorsPaul Rohde67
Estimated H-index: 67
(Oregon Research Institute)
Abstract Background : There is considerable evidence that pre- and post-natal factors are associated with a wide range of psychopathology in offspring during childhood and adolescence. Objective : The main aims of the present study were to examine the associations between pre- and perinatal factors and psychopathology in offspring during adulthood, and to explore whether family factors (i.e., family cohesion, mother's social support, and father's social support) mediate these relationships. Meth...
Published on May 14, 2018
Hendrik G. Roozen8
Estimated H-index: 8
,
H. Wiersma2
Estimated H-index: 2
+ 5 AuthorsA.J.J.M. Vingerhoets45
Estimated H-index: 45
Published on Mar 1, 2018in Journal of Affective Disorders 4.08
Cecilia A. Essau36
Estimated H-index: 36
(University of Roehampton),
Peter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
+ 2 AuthorsPaul Rohde67
Estimated H-index: 67
(Oregon Research Institute)
Abstract Background Anxiety disorders are common in childhood, adolescence, and adulthood, and frequently comorbid with other mental disorders. Objective The main aim of the present study was to examine the incidence, recurrence and comorbidity rates of anxiety disorders across four developmental periods, namely, during childhood (5 – 12.9 years), adolescence (13 – 17.9 years), emerging adulthood (18 – 23.9 years), and adulthood (24 – 30 years). Method Eight hundred and sixteen participants from...
Published on Mar 1, 2017in Journal of Studies on Alcohol and Drugs 2.58
Richard F. Farmer15
Estimated H-index: 15
,
John R. Seeley79
Estimated H-index: 79
+ 4 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
Objective:Emotional disorders and alcohol use disorders (AUDs) frequently demonstrate significant 12-month and lifetime comorbid associations. This comorbidity has been incorporated into influential theories of addiction processes that posit direct or indirect causal associations between these disorder categories. There is currently no consensus, however, about the sequencing of these disorders. In this research, longitudinal data from a regionally representative community sample were used to ev...
Published on Feb 1, 2017in Addiction 6.85
Derek Kosty2
Estimated H-index: 2
(UO: University of Oregon),
John R. Seeley79
Estimated H-index: 79
(UO: University of Oregon)
+ 2 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
Aims To estimate cannabis use disorder (CUD) trajectory classes from ages 14 through 30 and compare classes on clinical characteristics, risk factors, and psychosocial outcomes. Design Four waves (T1-T4) of data from an epidemiological study of psychopathology among a regionally representative sample. Trajectory classes described risk for CUD as a function of age. The number of classes was determined by model fit. Setting Participants were randomly selected from nine high schools in western Oreg...
Published on Jul 1, 2016in Drug and Alcohol Dependence 3.47
Richard F. Farmer15
Estimated H-index: 15
(Oregon Research Institute),
Jeff M. Gau21
Estimated H-index: 21
(Oregon Research Institute)
+ 3 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
Abstract Background The developmental pathways associated with an enhanced risk for future alcohol use disorders (AUDs) continue to be a topic of both interest and debate. In this research, internalizing and externalizing disorders were evaluated as prospective predictors of the index AUD episode onset, separately within three developmental periods: early-to-middle adolescence (age 13.0–17.9), late adolescence (18.0–20.9), and early adulthood (21.0–30.0). Methods Participants ( N =Β 816) were ini...
Published on Mar 1, 2016in Clinical psychological science
Samantha F. Anderson5
Estimated H-index: 5
(ND: University of Notre Dame),
Scott M. Monroe42
Estimated H-index: 42
(ND: University of Notre Dame)
+ 1 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
The kindling hypothesis for depression predicts that with more recurrences, the interval between successive recurrences decreases. Studies with unipolar and bipolar samples generally have been consistent with this premise. However, previous research is subject to a statistical artifact. Slater's fallacy maintains that these intermorbid intervals appear to decrease because highly recurrent individuals with consistently shorter intervals become a larger proportion of the remaining sample with each...
Published on Jan 1, 2016in Psychology of Addictive Behaviors 2.97
Richard F. Farmer15
Estimated H-index: 15
(Oregon Research Institute),
Derek B. Kosty14
Estimated H-index: 14
(Oregon Research Institute)
+ 4 AuthorsPeter M. Lewinsohn94
Estimated H-index: 94
(Oregon Research Institute)
Cannabis abuse and dependence disorders (or, collectively, cannabis use disorders; CUDs) are often age limited. By age 35, most individuals with prior CUD diagnoses no longer meet diagnostic criteria or have ceased cannabis use altogether (Farmer et al., 2015a; Newcomb, Galaif, & Locke, 2001; Perkonigg et al., 2008). For others, however, CUDs are persistent conditions that extend 5 to 10 years or longer following the baseline diagnosis (Farmer et al., 2015a; Lopez-Quintero et al., 2011; Lynskey ...
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