Abstract
Background: Happiness can influence on the psychological well-being and physical health of pregnant women. Mood swings during pregnancy affect attachment to the child and negative emotions are associated with increased risk of low birth weight, early delivery, and failure in breastfeeding. 
Objective: This study aimed to assess the happiness and its predictor variables among pregnant women. 
Methods: This study was conducted on 480 pregnant women referred to AL-Zahra teaching hospital in Rasht (Iran) in 2018. The study employed a questionnaire consisting of socio-demographic characteristics and the Oxford Happiness Questionnaire. Data were analyzed by IBM-SPSS version 21, using descriptive statistics, independent-samples t-test, ANOVA and multiple linear regression.
Results: A total of 88 (18.3%) women had low happiness level, 314 (65.4%) moderate level, and 78 (16.3%) high level of happiness. Their happiness had a significant association with age (p=0.001), education (p=0.041), occupation (p=0.029), marital satisfaction (p=0.001), husband's education (p=0.003), monthly income (p=0.001), order of pregnancy (p=0.001), planned pregnancy (p=0.001), abortion history (p=0.003), comorbid disease (p=0.032), and family support (p=0.001). Out of these factors, marital satisfaction (B=0.205), planned pregnancy (B=0.374), and monthly income (B=0.359) were identified to explain the variance in independent variables in pregnant women.
Conclusion: By identification of the predictors of happiness, obstetricians and midwives can improve the happiness level of pregnant women by providing information and eliminating unnecessary worries.
 
Keywords: Happiness, Pregnancy, Pregnant women

 

» HTML Fulltext    » PDF Fulltext    » doi: 10.19082/7629
NIke Dunk SB LowTrava Mista Cano Alto

The  most recent editorial (June 2021)

Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?

An editorial by Dr. Mehrdad Jalalian

Read more.


The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.

 

To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here

 


Our previous editorial (June 2020)

Lessons from COVID-19 pandemic and the Morocco’s success story.

An editorial by Dr. Benksim Abdelhafid (Morocco)

Read more.


 

The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.

The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:


 

TDR Clinical Research and Development Fellowships

Call for applications

Deadline for submission: 7 March 2019, 16:00 (GMT)

TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:


Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019

Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).

About the Instructor

Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: