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Hu J, Liu B, Cui H, Liu Y, Wan N, Li L, Zheng L, Wang X, Yang Z, Ma Y, Liu C, Qiao C, Wen D. Dose-response associations of maternal prenatal noise exposure duration with antepartum depression status. BMC Pregnancy Childbirth 2024; 24:7. [PMID: 38166840 PMCID: PMC10759523 DOI: 10.1186/s12884-023-06200-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Antepartum depression has been reported to be associated with the intensity of maternal prenatal noise exposure; however, the association between noise exposure duration and the development of antepartum depression has not been established. This study aimed to determine the total and trimester-specific association of prenatal noise exposure duration with the development of antepartum depression. METHODS From May 2018 to June 2021, we recruited 2,166 pregnant women from Shengjing Hospital, northeast China. We used a standardized questionnaire to assess women's prenatal noise exposure and used the Edinburgh Postnatal Depression Scale to assess pregnant women's antepartum depression during the 1st -, 2nd -, and 3rd - trimesters. We calculated a cumulative noise exposure score ranging from 0 to 3, with a higher score reflecting higher frequency and longer duration of noise exposure during pregnancy. RESULTS Women who were exposed to noise for ≥ 15 min per day had an increased risk of antepartum depression compared with women who were not exposed to noise during pregnancy [odds ratio (OR) = 1.83, 95%CI:1.18, 2.83]. Noise exposure in a specific trimester was associated with higher risk of depression in the same trimester and subsequent trimesters. We observed increases in antepartum depression risk with increasing cumulative noise exposure scores (P for trend < 0.05 for all). Pregnant women with the highest scores had the highest risk of antepartum depression during the first (OR = 1.30, 95%CI:1.02, 1.65), second (OR = 1.75, 95%CI:1.23, 2.50) trimesters. Women with a cumulative noise exposure score of 2 had the highest risk of antepartum depression during the third trimester (OR = 1.79, 95%CI:1.14, 2.80), as well as during the whole pregnancy (OR = 1.94, 95%CI:1.14, 3.30). CONCLUSIONS Maternal prenatal noise exposure duration was positively associated with antepartum depression risk in a dose-response manner. It is necessary to develop strategies by which pregnant women can avoid excessive exposure to noise to prevent antepartum depression.
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Affiliation(s)
- Jiajin Hu
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Division of Chronic Disease Research across the Lifecourse, Department of Population Medicine, Harvard Medical School, Boston, MA, 02215, USA
| | - Borui Liu
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Hong Cui
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China
| | - Yilin Liu
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China
| | - Ningyu Wan
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Lin Li
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
- Department of Developmental Pediatrics, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China
| | - Lu Zheng
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Xiaochuan Wang
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Zhe Yang
- Health Sciences Institute, China Medical University, Shenyang, 110122, China
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China
| | - Yanan Ma
- Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, 110122, China
| | - Caixia Liu
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China.
| | - Chong Qiao
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, 110004, China.
| | - Deliang Wen
- Health Sciences Institute, China Medical University, Shenyang, 110122, China.
- Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, 110122, China.
- Liaoning Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, Shenyang, 110122, China.
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