MARC보기
LDR01526nmm uu200397 4500
001000000330953
00520240805163133
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438110151
035 ▼a (MiAaPQ)AAI10830426
035 ▼a (MiAaPQ)arizona:16440
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 136
1001 ▼a Patch, Emily Anne.
24510 ▼a Predicting Preterm Birth From the Unpredictable.
260 ▼a [S.l.] : ▼b The University of Arizona., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 188 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Aurelio J. Figueredo.
5021 ▼a Thesis (Ph.D.)--The University of Arizona, 2018.
520 ▼a Preterm birth has many equivocal risk factors in the medical literature. This research attempts to unify the risk factors for preterm birth using a mid-level evolutionary biology theory termed Life History (LH) Theory. Many of the risk factors f
590 ▼a School code: 0009.
650 4 ▼a Developmental psychology.
650 4 ▼a Evolution & development.
690 ▼a 0620
690 ▼a 0412
71020 ▼a The University of Arizona. ▼b Psychology.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0009
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999433 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자