Xiaolan Zhou1,2, Hua Liu2, Xiaohong Li2, Shaoru Zhang1. 1. School of Nursing, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China. 2. School of Nursing, Xi'an Medical University, Xi'an, Shaanxi, People's Republic of China.
Abstract
AIM: Fear of childbirth (FOC) is an extreme state of anxiety, distress and worry about childbirth. Despite its common occurrence, the prevalence and risk factors for FOC are inadequately understood in the northwestern region of China. PURPOSE: This study aimed to examine the prevalence and risk factors for fear of childbirth (FOC) in a cohort of pregnant women in northwest of China. PATIENTS AND METHODS: A total of 922 healthy pregnant women were included in this cross-sectional study. Participants filled out a questionnaire on socio-demographic characteristics, as well as the Childbirth Attitudes Questionnaire (CAQ), the Multidimensional Scale of Perceived Social Support (MSPSS), the Edinburgh Postnatal Depression Scale (EPDS), and the Pregnancy Pressure Scale (PPS). Psychosocial factors were analyzed to determine their association with fear of childbirth. Optimal scale regression analysis was used to determine the risk factors associated with FOC. RESULTS: The mean score on the CAQ was 33.92 ± 10.17. A total of 72% of participants reported low to mild FOC. Six percent (n=51/922) and 22% (n=199/922) of pregnant women reported severe and moderate FOC, respectively. Based on optimal scaling regression analysis, the factors most strongly associated with FOC were residence, marital status, parity, gestational age, relationship with partner, pregnancy stress, social support and depressive symptoms. CONCLUSION: This study indicates the high prevalence of FOC (70.3%, ranging from mild to severe) in healthy pregnant women in northwest of China. FOC showed a positive correlation with pregnancy-related stress and depressive symptoms and a negative correlation with social support. Screening for FOC and helping pregnant women identify a support system early in pregnancy could reduce a woman's stress level and severity of depression.
AIM: Fear of childbirth (FOC) is an extreme state of anxiety, distress and worry about childbirth. Despite its common occurrence, the prevalence and risk factors for FOC are inadequately understood in the northwestern region of China. PURPOSE: This study aimed to examine the prevalence and risk factors for fear of childbirth (FOC) in a cohort of pregnant women in northwest of China. PATIENTS AND METHODS: A total of 922 healthy pregnant women were included in this cross-sectional study. Participants filled out a questionnaire on socio-demographic characteristics, as well as the Childbirth Attitudes Questionnaire (CAQ), the Multidimensional Scale of Perceived Social Support (MSPSS), the Edinburgh Postnatal Depression Scale (EPDS), and the Pregnancy Pressure Scale (PPS). Psychosocial factors were analyzed to determine their association with fear of childbirth. Optimal scale regression analysis was used to determine the risk factors associated with FOC. RESULTS: The mean score on the CAQ was 33.92 ± 10.17. A total of 72% of participants reported low to mild FOC. Six percent (n=51/922) and 22% (n=199/922) of pregnant women reported severe and moderate FOC, respectively. Based on optimal scaling regression analysis, the factors most strongly associated with FOC were residence, marital status, parity, gestational age, relationship with partner, pregnancy stress, social support and depressive symptoms. CONCLUSION: This study indicates the high prevalence of FOC (70.3%, ranging from mild to severe) in healthy pregnant women in northwest of China. FOC showed a positive correlation with pregnancy-related stress and depressive symptoms and a negative correlation with social support. Screening for FOC and helping pregnant women identify a support system early in pregnancy could reduce a woman's stress level and severity of depression.
Authors: Maeve A O'Connell; Patricia Leahy-Warren; Ali S Khashan; Louise C Kenny; Sinéad M O'Neill Journal: Acta Obstet Gynecol Scand Date: 2017-05-17 Impact factor: 3.636