Life‐course trajectories of cannabis use: a latent class analysis of a New Zealand birth cohort

Addiction ◽  
2019 ◽  
Vol 115 (2) ◽  
pp. 279-290 ◽  
Author(s):  
Joseph M. Boden ◽  
Bhubaneswor Dhakal ◽  
James A. Foulds ◽  
L. John Horwood
Keyword(s):  
New Zealand ◽  
Life Course ◽  
Latent Class Analysis ◽  
Birth Cohort ◽  
Latent Class ◽  
Cannabis Use ◽  
Class Analysis

scholarly journals Categories of intimate partner violence and abuse (IPVA) among young women and men: Latent Class Analysis of psychological, physical, and sexual victimisation and perpetration in a UK birth cohort

2021 ◽  
Author(s):  
Annie Herbert ◽  
Abigail Fraser ◽  
Laura D. Howe ◽  
Eszter Szilassy ◽  
Maria Barnes ◽  
...  
Keyword(s):  
Young People ◽  
Latent Class Analysis ◽  
Birth Cohort ◽  
Partner Violence ◽  
Latent Class ◽  
Negative Impact ◽  
Class Analysis ◽  
Negative Impacts ◽  
The Uk ◽  
Variable Impact

AbstractBackgroundIn the UK, around one-third of young people are exposed to IPVA by 21 years old. However, types of IPVA victimisation in this population (psychological, physical, sexual), and their relationship with impact and perpetration are poorly understood.MethodsParticipants in a UK birth cohort reported IPVA victimisation and perpetration by age 21. We carried out a latent class analysis, where we categorised IPVA by types/frequency of victimisation, and then assigned individuals to their most probable class. Within these classes, we then estimated risks of reported: 1) types of negative impacts (sad, upset/unhappy, anxious, depressed, affected work/studies, angry/annoyed, drank/took drugs more); 2) types/frequency of perpetration.ResultsAmong 2,130 women and 1,149 men, 32% and 24% reported IPVA victimisation (of which 89% and 73% reported negative impact); 21% and 16% perpetration. Victimisation responses were well represented by five classes, including three apparent in both sexes: No-low victimisation (characterised by low probabilities of all types of victimisation; average probabilities of women and men belonging to this class were 82% and 70%); Mainly psychological (15% and 12%); Psychological & physical victimisation (4% and 7%), and two classes that were specific to women: Psychological & sexual (7%); Multi-victimisation (frequent victimisation for all three types; 4%). In women, all types of negative impact were most common in the Psychological & sexual and Multi-victimisation classes; for men, the Psychological & physical class. In women, all types of perpetration were most common for the Mainly psychological, Psychological & physical, and Multi-victimisation classes; in men, the Mainly psychological and Psychological & physical classes.DiscussionIn this study of young people, we found categories of co-occurrence of types and frequency of IPVA victimisation associated with differential risks of negative impact and perpetrating IPVA. This is consistent with emerging evidence of IPVA differentiation and its variable impact in other populations.

A latent class analysis of psychosis-like experiences in the New Zealand Mental Health Survey

2011 ◽  
Vol 124 (3) ◽  
pp. 205-213 ◽  
Author(s):  
C. K. Gale ◽  
J. E. Wells ◽  
M. A. McGee ◽  
M. A. Oakley Browne
Keyword(s):  
Mental Health ◽  
New Zealand ◽  
Latent Class Analysis ◽  
Health Survey ◽  
Latent Class ◽  
Class Analysis ◽  
Mental Health Survey

Three-dimensional latent class analysis of atopic sensitization in the PASTURE birth cohort

2015 ◽  
Author(s):  
Alexander Hose ◽  
Markus Ege ◽  
Martin Depner ◽  
Charlotte Braun-Fahrländer ◽  
Juha Pekkanen ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Birth Cohort ◽  
Latent Class ◽  
Three Dimensional ◽  
Class Analysis ◽  
Atopic Sensitization

Sexual orientation and mental health over the life course in a birth cohort

2019 ◽  
Vol 50 (8) ◽  
pp. 1348-1355 ◽  
Author(s):  
J. K. Spittlehouse ◽  
J. M. Boden ◽  
L. J. Horwood
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Life Course ◽  
Health Outcomes ◽  
Latent Class Analysis ◽  
Birth Cohort ◽  
Sexual Minority ◽  
Latent Class ◽  
Minority Groups ◽  
The Life Course

AbstractBackgroundSexual minority individuals consistently report higher rates of mental disorder than heterosexuals. However, much of the research has methodological limitations related to the classification of sexuality, the use of cross-sectional data and problematic sampling procedures such as using convenience samples.MethodsWe used longitudinal data from a birth cohort enrolled in the Christchurch Health and Development Study (n = 1040). Latent class analysis was used to classify participants sexuality based on self-report data of sexual behaviour, attraction, identity and fantasy, gathered over five assessments between the ages of 18 and 35 years. Mental health and substance use outcome data were gathered at four assessments between the ages of 21 and 35 years. Potential covariate variables were collected during childhood.ResultsThe latent class analysis identified four groups interpreted as: ‘heterosexual’ 82%, ‘mostly heterosexual’ 12.6%, ‘bisexual’ 3.5% and ‘gay/lesbian’ 1.9%. In the sexual minority groups, women outnumbered men by at least 2:1. Pooled rates for mental health disorders of depression, anxiety disorders, suicidal ideation, cannabis abuse and total disorders, after adjustment for childhood covariate variables, were significantly higher in the sexual minority groups (p < 0.01). The strength of association between sexuality group and mental health outcomes did not differ according to sex. Fluidity in sexuality reports appeared unrelated to risk of mental health outcomes.ConclusionsOver the life course, membership of a sexual minority group is clearly associated with mental health problems of depression, anxiety and suicidal ideation regardless of the age when same-sex attraction, behaviour, identity or fantasy is expressed.

scholarly journals Characterizing motivations for cannabis use in a cohort of people who use illicit drugs: A latent class analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233463 ◽  
Author(s):  
Stephanie Lake ◽  
Ekaterina Nosova ◽  
Jane Buxton ◽  
Zach Walsh ◽  
M. Eugenia Socías ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Illicit Drugs ◽  
Latent Class ◽  
Cannabis Use ◽  
Class Analysis

scholarly journals Characterising heterogeneity in the use of different cannabis products: latent class analysis with 55 000 people who use cannabis and associations with severity of cannabis dependence

2019 ◽  
Vol 50 (14) ◽  
pp. 2364-2373 ◽  
Author(s):  
Sam Craft ◽  
Adam Winstock ◽  
Jason Ferris ◽  
Clare Mackie ◽  
Michael T. Lynskey ◽  
...  
Keyword(s):  
Mental Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Mental Health Disorder ◽  
Cannabis Use ◽  
Class Analysis ◽  
Cannabis Dependence ◽  
Patterns Of Use ◽  
Dependence Scale ◽  
Administration Methods

AbstractBackgroundAs new cannabis products and administration methods proliferate, patterns of use are becoming increasingly heterogeneous. However, few studies have explored different profiles of cannabis use and their association with problematic use.MethodsLatent class analysis (LCA) was used to identify subgroups of past-year cannabis users endorsing distinct patterns of use from a large international sample (n = 55 240). Past-12-months use of six different cannabis types (sinsemilla, herbal, hashish, concentrates, kief, edibles) were used as latent class indicators. Participants also reported the frequency and amount of cannabis used, whether they had ever received a mental health disorder diagnosis and their cannabis dependence severity via the Severity of Dependence Scale (SDS).ResultsLCA identified seven distinct classes of cannabis use, characterised by high probabilities of using: sinsemilla & herbal (30.3% of the sample); sinsemilla, herbal & hashish (20.4%); herbal (18.4%); hashish & herbal (18.8%); all types (5.7%); edibles & herbal (4.6%) and concentrates & sinsemilla (1.7%). Relative to the herbal class, classes characterised by sinsemilla and/or hashish use had increased dependence severity. By contrast, the classes characterised by concentrates use did not show strong associations with cannabis dependence but reported greater rates of ever receiving a mental health disorder diagnosis.ConclusionsThe identification of these distinct classes underscores heterogeneity among cannabis use behaviours and provides novel insight into their different associations with addiction and mental health.

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