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DiGuiseppi, Carolyn; Crume, Tessa; Van Dyke, Julia; Sabourin, Katherine R.; Soke, Gnakub N.; Croen, Lisa A.; Daniels, Julie L.; Lee, Li-Ching; Schieve, Laura A.; Windham, Gayle C.; Friedman, Sandra; Robinson Rosenberg, Cordelia – Journal of Autism and Developmental Disorders, 2022
The association of autism spectrum disorder (ASD) with self-reported maternal cannabis use from 3 months pre-conception to delivery ("peri-pregnancy") was assessed in children aged 30-68 months, born 2003 to 2011. Children with ASD (N = 1428) were compared to children with other developmental delays/disorders (DD, N = 1198) and…
Descriptors: Pregnancy, Prenatal Influences, Marijuana, Drug Use
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Chien, Li-Nien; Lin, Hsiu-Chen; Shao, Yu-Hsuan Joni; Chiou, Shu-Ti; Chiou, Hung-Yi – Journal of Autism and Developmental Disorders, 2015
The rates of Cesarean delivery (C-section) have risen to >30 % in numerous countries. Increased risk of autism has been shown in neonates delivered by C-section. This study examined the incidence of autism in neonates delivered vaginally, by C-section with regional anesthesia (RA), and by C-section with general anesthesia (GA) to evaluate the…
Descriptors: Surgery, Birth, Autism, Risk
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Burns, Alison Reimuller; Hussong, Andrea M.; Solis, Jessica M.; Curran, Patrick J.; McGinley, James S.; Bauer, Daniel J.; Chassin, Laurie; Zucker, Robert A. – International Journal of Behavioral Development, 2017
The current study demonstrates the application of an analytic approach for incorporating multiple time trends in order to examine the impact of cohort effects on individual trajectories of eight drugs of abuse. Parallel analysis of two independent, longitudinal studies of high-risk youth that span ages 10 to 40 across 23 birth cohorts between 1968…
Descriptors: Substance Abuse, Cohort Analysis, Trend Analysis, Longitudinal Studies
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Brodbeck, Jeannette; Bachmann, Monica S.; Croudace, Tim J.; Brown, Anna – Developmental Psychology, 2013
Risk behaviors such as substance use or deviance are often limited to the early stages of the life course. Whereas the onset of risk behavior is well studied, less is currently known about the decline and timing of cessation of risk behaviors of different domains during young adulthood. Prevalence and longitudinal developmental patterning of…
Descriptors: Risk, Behavior, Late Adolescents, Young Adults
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Kandel, Denise B.; Logan, John A. – American Journal of Public Health, 1984
The period of major risk for initiation to cigarettes, alcohol, and marijuana is completed mostly by age 20, and to illicit drugs other than cocaine by age 21. Overall patterns are similar for both sexes, with men initiating all drugs (except prescribed psychoactives) at higher rates than women. (Author/GC)
Descriptors: Adolescents, Age Differences, Alcoholic Beverages, Cohort Analysis
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Yamaguchi, Kazuo; Kandel, Denise B. – American Journal of Public Health, 1984
A cohort of former New York State adolescents were reinterviewed nine years after an initial survey. Drug use predictions, it was found, can be based on age effects and prior types of drug use; marijuana use, for example, is necessary for progression to other illicit drugs. (KH)
Descriptors: Adolescents, Age Differences, Cohort Analysis, Developmental Stages
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O'Malley, Patrick M.; And Others – American Journal of Public Health, 1984
Analyzes the variation in prevalence rates of various substances in terms of age, year, and class effects. Interprets data provided by the Monitoring the Future Project, an ongoing survey of nationally representative high school senior classes. (KH)
Descriptors: Age Differences, Cohort Analysis, Developmental Stages, Drinking
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McAlister, Alfred; Gordon, Nancy P. – Evaluation Review, 1986
Self-generated codes to insure student anonymity were used in a study of substance use among 2500 adolescents. Matching rates for various cohorts as a proportion of total respondents at different survey periods were less than ideal. The effects of coding and other attrition factors on the tracking are discussed. (JAZ)
Descriptors: Attrition (Research Studies), Cohort Analysis, Confidentiality, Drug Use
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O'Malley, Patrick M.; And Others – American Journal of Public Health, 1988
Using a cohort-sequential design, identifies period, age, and class effects influencing the use of 12 different classes of drugs, both licit and illicit, by American youth aged 18 to 28 who were surveyed annually between 1976 and 1986. (Author/BJV)
Descriptors: Age Differences, Alcoholism, Cohort Analysis, Drinking
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Murstein, Bernard I; And Others – Adolescence, 1989
In 1974, 1979, and 1986, college students completed questionnaires regarding their sexual philosophies, behavior, relationships, self-perceived attractiveness, relationship with parents, use of drugs and alcohol, attitudes toward marriage and abortion, and other issues. Found that sexual behavior increased dramatically from 1974 to 1979, and then…
Descriptors: Abortions, Cohort Analysis, College Students, Drug Use