alexa Working Conditions, Socioeconomic Factors And Low Birth Weight: Path Analysis
ISSN: 2153-0645

Journal of Pharmacogenomics & Pharmacoproteomics
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Share This Page

Additional Info

Loading Please wait..

2nd International Conference on Predictive, Preventive and Personalized Medicine & Molecular Diagnostics
November 03-05, 2014 Embassy Suites Las Vegas, USA

Zohreh Mahmoodi, Masoud Karimlou, Homeira Sajjadi, Masoumeh Dejman and Meroe Vameghi
ScientificTracks Abstracts: J Pharmacogenomics Pharmacoproteomics
DOI: 10.4172/2153-0645.S1.002
Background: In recent years, with socioeconomic changes in the society, the presence of women in the workplace is inevitable. The differences in working condition, especially for pregnant women, has adverse consequences like low birth weight. Objectives: This study was conducted with the aim to model the relationship between working conditions, socioeconomic factors, and birth weight. Patients and methods: This study was conducted in case control design. The control group consisted of 500 women with normal weight babies, and the case group, 250 women with low weight babies from selected hospitals in Tehran. Data were collected using a researcher made questionnaire to determine mothers? lifestyle during pregnancy with low birth weight with health affecting social determinants approach. This questionnaire investigated women?s occupational lifestyle in terms of working conditions, activities, and job satisfaction. Data were analyzed with SPSS16 and Lisrel8.8 software using statistical path analysis. Results: The final path model fitted well (CFI=1, RMSEA=0.00) and showed that among direct paths, working condition ((β=0.032), among indirect paths, household income β (β=0.42), and in the overall effect, unemployed spouse (β=0.1828) had the most effects on the low birth weight. Negative coefficients indicate decreasing effect on birth weight. Conclusions: Based on the path analysis model, working condition and socioeconomic status directly and indirectly influence birth weight. Thus, along with attention to treatment and health care (biological aspect), special attention must also be paid to mothers? socioeconomic factors.
image PDF   |   image HTML

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version