Social capital and fertility behaviors: a cross-sectional study in Iranian women health care workers

• Published in: BMC women's health Vol. 20; no. 1; p. 83
• Main Authors: Firouzbakht, Mojgan, Tirgar, Aram, Hajian-Tilaki, Karimollah, Bakouei, Fatemeh, Riahi, Mohammad Esmaeil, Nikpour, Maryam
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 28.04.2020; BioMed Central; BMC
• Subjects: Age groups; Analysis; Behavior; Childbirth & labor; Childbirth behaviors; Communication; Cross-sectional studies; Employment; Fertility; Generalized linear models; Health care; Health care workers; Infertility; Iran; Marriage; Medical personnel; Population decline; Pregnancy; Questionnaires; Social capital; Social networks; Social research; Survival analysis; Women; Women's health; Womens health; Working women; Iran; Women; Health care workers; Iran; Childbirth behaviors; Social capital
• ISSN: 1472-6874; 1472-6874
• DOI: 10.1186/s12905-020-00943-5

Fertility, in addition to the biomedical aspect, is phenomena of social, economic and demographic changes. Social network were considered for understanding fertility behaviors and changes in the levels of fertility. This study was conducted to investigate the relationship between social capital and childbirth behaviors in Iranian women employees. This cross-sectional study was conducted in 2017 on 536 women health care workers who randomly selected from health care setting Babol/Iran. Data were collected using demographic, childbearing behavior and social capital questionnaires. The SPSS-21 software was employed to analysis the data at a significant level of 0.05. The results of the study showed that, there was significant relationship between number of pregnancy and social capital (P = 0.039). Furthermore, social capital has a significant relationship with the time of pregnancy (P = 0.043), the time of pregnancy in women with high social capital was observed to be relatively 30% shorter compare the women with low social capital. Social capital, as one of the important factors influencing childbirth behaviors, should be considered in population planning and policy making.