| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000431575 |
| 005 | | 20200224102855 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781088333952 |
| 035 | |
▼a (MiAaPQ)AAI22582521 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 371 |
| 100 | 1 |
▼a Panza, Kaitlyn E. |
| 245 | 10 |
▼a High-Risk Sexual Behavior and Substance Use During Young Adulthood: Gender-Specific Developmental Trajectories and the Influence of Early Trauma, and Adolescent Peer and Family Processes. |
| 260 | |
▼a [S.l.]:
▼b Arizona State University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 179 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
| 500 | |
▼a Advisor: Tein, Jenn-Yun |
| 502 | 1 |
▼a Thesis (Ph.D.)--Arizona State University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 506 | |
▼a This item must not be added to any third party search indexes. |
| 520 | |
▼a High-risk sexual behavior (HRSB) and substance use (SU) are highly prevalent in the general population with adolescents and young adults at high risk for engaging in these behaviors. Unhealthy behavioral patterns established during these developmental periods can have detrimental long-term effects on physical and mental health. Health care expenditures, related to consequences of these behaviors, have been estimated to reach around $740 billion in the United States, indicating an imminent public health concern. Unfortunately, little is known about trajectories and risk factors of health risk behaviors (HRBs) beyond age 25, which is a critical developmental period regarding these behaviors. This study sought to better understand HRB trajectories throughout young adulthood as well as the mechanisms underlying the initiation and progression of these behaviors. This study used data from a large (n = 998), longitudinal, randomized-controlled trial with intensive measurement of HRBs and peer and family processes. Growth mixture modeling estimated gender-specific trajectories of HRSB and SU (tobacco, alcohol, marijuana) from ages 22-30. Multinomial logistic regression (MLR) then examined how family and peer factors, and trauma exposure during adolescence, both separately and in combination, influenced HRB trajectories. Four unique trajectories resulted for SU (low use class |
| 590 | |
▼a School code: 0010. |
| 650 | 4 |
▼a Clinical psychology. |
| 650 | 4 |
▼a Developmental psychology. |
| 650 | 4 |
▼a Behavioral psychology. |
| 690 | |
▼a 0622 |
| 690 | |
▼a 0620 |
| 690 | |
▼a 0384 |
| 710 | 20 |
▼a Arizona State University.
▼b Psychology. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0010 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15492714
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |