Factors associated with Health of the Nation Outcomes Scales (HoNOS) in an acute young adult psychiatric unit

2021 ◽  
Author(s):  
Grace Branjerdporn ◽  
Julia Robertson ◽  
Alex Dymond
Keyword(s):  
Young Adult ◽  
Psychiatric Unit ◽  
Factors Associated

scholarly journals Factors associated with choosing fertility preservation in a pediatric, adolescent and young adult population

2019 ◽  
Vol 112 (3) ◽  
pp. e67
Author(s):  
Megan R. Sax ◽  
Tara Schafer-Kalkhoff ◽  
Brycen Ferrara ◽  
Olivia Jaworek Frias ◽  
Lesley Breech ◽  
...  
Keyword(s):  
Young Adult ◽  
Fertility Preservation ◽  
Adult Population ◽  
Adolescent And Young Adult ◽  
Factors Associated ◽  
Young Adult Population

scholarly journals Factors associated with long length of stay in an inpatient psychiatric unit in Lilongwe, Malawi

2018 ◽  
Vol 54 (2) ◽  
pp. 235-242
Author(s):  
Brian S. Barnett ◽  
Veronica Kusunzi ◽  
Lucy Magola ◽  
Christina P. C. Borba ◽  
Michael Udedi ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Psychiatric Unit ◽  
Factors Associated ◽  
Inpatient Psychiatric Unit

scholarly journals Waterpipe tobacco package warning exposure’s impact on risk perceptions and use among young adults in the USA: a longitudinal analysis of the population assessment of tobacco and health study

2018 ◽  
Vol 28 (e1) ◽  
pp. e16-e23 ◽  
Author(s):  
Jessica L King ◽  
Beth A Reboussin ◽  
Jennifer Cornacchione Ross ◽  
Erin L Sutfin
Keyword(s):  
Young Adult ◽  
Risk Perceptions ◽  
Health Study ◽  
Regression Analyses ◽  
Population Assessment ◽  
High Exposure ◽  
Factors Associated ◽  
The Usa ◽  
Nationally Representative ◽  
Waterpipe Use

BackgroundAlthough Food and Drug Administration (FDA)-mandated waterpipe tobacco warnings were not required until August 2018, some waterpipe tobacco packaging (WTP) sold in the USA, contained warnings prior to this date. We examined the prevalence of WTP warning exposure and whether exposure influenced risk perceptions or use among young adult (aged 18–24 years) current waterpipe users.MethodsWe used data from waves 1 (2013–2014) and 2 (2014–2015) of the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal study of US adults and youth. We conducted logistic regression analyses to identify factors associated with wave 1 warning exposure, and whether wave 1 WTP warning exposure predicted wave 2 relative risk perceptions and waterpipe use.ResultsMore than one-third of our sample (35.9%, 95% CI 33.5 to 38.4) reported past-month WTP warning exposure. Exposure was higher among males (adjusted OR (AOR)=1.34, 95% CI 1.04 to 1.72), those who usually do not share the waterpipe (AOR=3.10, 95% CI 1.45 to 6.60), those who purchased waterpipe tobacco (AOR=1.73, 95% CI 1.28 to 2.34), and those with a regular brand (AOR=1.84, 95% CI 1.26 to 2.68). Those exposed to WTP warnings at wave 1 were more likely than those not exposed to perceive waterpipe tobacco to be as or more harmful than cigarettes at wave 2 (AOR=1.35, 95% CI 1.02 to 1.78). There was no association between wave 1 WTP exposure and wave 2 waterpipe use.ConclusionsMore than one-third of US young adult current waterpipe users reported WTP warning exposure prior to FDA-mandated warning implementation. Findings suggest the mandated warning may result in high exposure among users; it will be critical to assess exposure’s impact on risk perceptions and behaviour after FDA-mandated warnings are implemented.

scholarly journals Factors associated with condom use among young adult ecstasy users

2010 ◽  
Vol 55 (6) ◽  
pp. 571-579 ◽  
Author(s):  
Kirk W. Elifson ◽  
Hugh Klein ◽  
Claire E. Sterk
Keyword(s):  
Young Adult ◽  
Condom Use ◽  
Factors Associated

scholarly journals Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

2020 ◽  
Vol 17 (19) ◽  
pp. 7271
Author(s):  
Nkiruka C. Atuegwu ◽  
Cheryl Oncken ◽  
Reinhard C. Laubenbacher ◽  
Mario F. Perez ◽  
Eric M. Mortensen
Keyword(s):  
Machine Learning ◽  
Young Adult ◽  
Public Awareness ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Cigarette Smokers ◽  
Factors Associated ◽  
History Of ◽  
Race Ethnicity ◽  
Never Smokers

E-cigarette use is increasing among young adult never smokers of conventional cigarettes, but the awareness of the factors associated with e-cigarette use in this population is limited. The goal of this work was to use machine learning (ML) algorithms to determine the factors associated with current e-cigarette use among US young adult never cigarette smokers. Young adult (18–34 years) never cigarette smokers from the 2016 and 2017 Behavioral Risk Factor Surveillance System (BRFSS) who reported current or never e-cigarette use were used for the analysis (n = 79,539). Variables associated with current e-cigarette use were selected by two ML algorithms (Boruta and Least absolute shrinkage and selection operator (LASSO)). Odds ratios were calculated to determine the association between e-cigarette use and the variables selected by the ML algorithms, after adjusting for age, gender and race/ethnicity and incorporating the BRFSS complex design. The prevalence of e-cigarette use varied across states. Factors previously reported in the literature, such as age, race/ethnicity, alcohol use, depression, as well as novel factors associated with e-cigarette use, such as disabilities, obesity, history of diabetes and history of arthritis were identified. These results can be used to generate further hypotheses for research, increase public awareness and help provide targeted e-cigarette education.

scholarly journals Constellations of youth criminogenic factors associated with young adult violent criminal behavior

Crime Science ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Menno Segeren ◽  
Thijs Fassaert ◽  
Matty de Wit ◽  
Arne Popma
Keyword(s):  
Young Adult ◽  
Criminal Behavior ◽  
Factors Associated ◽  
Violent Criminal

scholarly journals Factors associated with severity of motorcycle injuries among young adult riders

2003 ◽  
Vol 41 (6) ◽  
pp. 783-791 ◽  
Author(s):  
Mau-Roung Lin ◽  
Shu-Hui Chang ◽  
Wenzheng Huang ◽  
Hei-Fen Hwang ◽  
Lu Pai
Keyword(s):  
Young Adult ◽  
Factors Associated ◽  
Motorcycle Injuries

33. Factors Associated With Retention in Care of High Risk Transgender Youth in an Urban Adolescent-Young Adult Clinic

2013 ◽  
Vol 52 (2) ◽  
pp. S36-S37
Author(s):  
Luciana Michel ◽  
Elizabeth Eastwood ◽  
Alaina Burns ◽  
Richard Weinstein ◽  
Jeffrey M. Birnbaum
Keyword(s):  
Young Adult ◽  
High Risk ◽  
Retention In Care ◽  
Factors Associated ◽  
Transgender Youth ◽  
Urban Adolescent

Factors associated with delays in diagnosis of pediatric, adolescent and young adult patients with central nervous system tumors.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13532-e13532
Author(s):  
Diane Marie Puccetti ◽  
Lena Winestone ◽  
Jeffrey McPheeters ◽  
Jennifer Jill Wilkes ◽  
Henry J. Henk ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Young Adult ◽  
Adolescent And Young Adult ◽  
Urgent Care ◽  
Cns Tumors ◽  
Cancer Symptoms ◽  
Delay In Diagnosis ◽  
Factors Associated ◽  
Delays In Diagnosis

e13532 Background: Central Nervous System (CNS) tumors are the most common solid tumor in children and have the highest mortality. Delays in diagnosis (Dx) may lead to reduced survival. We identify factors associated with delays in Dx in pediatric, adolescent and young adult (AYA) patients with CNS tumors. Methods: A retrospective cohort from the OptumLabs Data Warehouse, which includes claims data for privately insured enrollees in a large US health plan, was identified. Patients diagnosed with CNS tumors between 2001-17 continuously enrolled 6 months prior to diagnosis (Dx) were included. The onset of cancer symptoms was identified by the date of the first encounter associated with cancer symptoms. Time to Dx was calculated as the days between cancer symptom onset and Dx date. The likelihood of presenting with symptoms and the time to Dx (among those with symptoms) was modeled using logistic regression and included sociodemographic and clinical factors. A delay in Dx was defined as > 3 months after a symptom. Results: We identified 6,627 eligible patients, 5,637 (85%) of whom presented with symptoms prior to Dx. Likelihood of a delay appears greatest in those first presenting to a specialist (OR 1.28 vs PCP; P = .24 ) but lowest in those presenting to Urgent care/ER (OR .56 vs PCP; P < 0.001) and was greatest among children < 5 years of age were more likely to present with a symptom (table). However, among those with a symptom, children < 5 had the longest time to Dx (Median 122 days). Males were less likely to present with a symptom prior to Dx (OR .80, P = 0.040) and when experiencing a symptom they experienced shorter time to Dx compared to females (Median 85 vs 110 days). Race, income, and census region were not significant predictors of either likelihood of presenting with symptoms or delay in time to Dx. Conclusions: This study indicates that young children < 5 years had a longer delay in diagnosis compared to older patients. [Table: see text]

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