MARC details
| 000 -LEADER |
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| fixed length control field |
02455nab a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
PILC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221123182303.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
150723s9999 xx 000 0 und d |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
MANILA TYTANA COLLEGES LIBRARY |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Wilson, Barbara L. |
| 245 0# - TITLE STATEMENT |
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| Title |
Exploring the psychosocial predictors of gestational diabetes and birth weight / |
| Statement of responsibility, etc. |
Barbara L. Wilson, Jane M. Dyer, Gwen Latendresse, Bob Wong, Laurie Baksh |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date of publication, distribution, etc. |
November-December 2015. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
volume |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Title |
Journal of Obstetric, Gynecologic & Neonatal Nursing |
| Number of part/section of a work |
44 : 6, page 760-771 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
"Objective To determine the best sociodemographic and behavioral predictors for gestational diabetes mellitus (GDM) and birth weight (BW) and whether stress, depression, or abuse influences GDM and BW after controlling for sociodemographic variables. Design Retrospective correlational. Setting Utah Pregnancy Risk Monitoring System and birth certificate data. Participants We analyzed data from the birth certificates of 4,682 women with live births between 2009 and 2011 in Utah. During that time, a total of 143,373 live births occurred in the state. Data were predominantly from non-Hispanic White, married, or partnered women with average age of 27.5 years and average body mass index (BMI) of 25.1. Methods Stress, cumulative depression, and abuse were operationalized based on previous analysis, and control and covariate data (e.g., age, BMI, race, ethnicity, education, marital status) were collected. Bivariate analysis was used to identify associations between variables, and a hierarchical stepwise logistical regression was conducted to identify best predictors of GDM and BW. Results We did not find that cumulative depression, stress, or abuse was a predictor of GDM, and only cumulative stress was a predictor of BW. More incidences of GDM were observed in women who were poor, older, less educated, non-White, obese, or experienced depression during pregnancy. Conclusions Unlike depression or abuse, stress is often overlooked by providers. This finding represents an unmet opportunity for nurses to screen for and assist women with stressors to positively affect birth weight." |
| 521 ## - TARGET AUDIENCE NOTE |
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| Target audience note |
Nursing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Diabetes in pregnancy. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Birth weight.. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Depression in women. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Pregnancy |
| General subdivision |
Complications. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Articles |
| Source of classification or shelving scheme |
Library of Congress Classification |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
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| Cataloger's initials, CIN (RLIN) |
80466 |
| First Date, FD (RLIN) |
138829 |
