Si Tu1,2,3, Ao-Lin Wang1,4, Mei-Zhen Tan5, Jin-Hua Lu1,2, Jian-Rong He1,2,6, Song-Ying Shen1, Dong-Mei Wei1,2, Min-Shan Lu1,2, Shiu Lun Au Yeung1,7, Hui-Min Xia1,3, Xiu Qiu8,9,10. 1. Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Zhujiang Newtown, Tianhe District, Guangzhou 510623, China. 2. Department of Women and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. 3. Department of Neonatal Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. 4. Program on Reproductive Health and the Environment and Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA. 5. Department of Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. 6. Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK. 7. School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China. 8. Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Zhujiang Newtown, Tianhe District, Guangzhou 510623, China. qxiu0161@163.com. 9. Department of Women and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. qxiu0161@163.com. 10. Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. qxiu0161@163.com.
Abstract
BACKGROUND: Birth weight is a strong determinant of infant short- and long-term health outcomes. Family socioeconomic position (SEP) is usually positively associated with birth weight. Whether this association extends to abnormal birth weight or there exists potential mediator is unclear. METHODS: We analyzed data from 14,984 mother-infant dyads from the Born in Guangzhou Cohort Study. We used multivariable logistic regression to assess the associations of a composite family SEP score quartile with macrosomia and low birth weight (LBW), and examined the potential mediation effect of maternal pre-pregnancy body mass index (BMI) using causal mediation analysis. RESULTS: The prevalence of macrosomia and LBW was 2.62% (n = 392) and 4.26% (n = 638). Higher family SEP was associated with a higher risk of macrosomia (OR 1.30, 95% CI 0.93-1.82; OR 1.53, 95% CI 1.11-2.11; and OR 1.59, 95% CI 1.15-2.20 for the 2nd, 3rd, and 4th SEP quartile respectively) and a lower risk of LBW (OR 0.69, 95% CI 0.55-0.86; OR 0.76, 95% CI 0.61-0.94; and OR 0.61, 95% CI 0.48-0.77 for the 2nd, 3rd, and 4th SEP quartile respectively), compared to the 1st SEP quartile. We found that pre-pregnancy BMI did not mediate the associations of SEP with macrosomia and LBW. CONCLUSIONS: Socioeconomic disparities in fetal macrosomia and LBW exist in Southern China. Whether the results can be applied to other populations should be further investigated.
BACKGROUND: Birth weight is a strong determinant of infant short- and long-term health outcomes. Family socioeconomic position (SEP) is usually positively associated with birth weight. Whether this association extends to abnormal birth weight or there exists potential mediator is unclear. METHODS: We analyzed data from 14,984 mother-infant dyads from the Born in Guangzhou Cohort Study. We used multivariable logistic regression to assess the associations of a composite family SEP score quartile with macrosomia and low birth weight (LBW), and examined the potential mediation effect of maternal pre-pregnancy body mass index (BMI) using causal mediation analysis. RESULTS: The prevalence of macrosomia and LBW was 2.62% (n = 392) and 4.26% (n = 638). Higher family SEP was associated with a higher risk of macrosomia (OR 1.30, 95% CI 0.93-1.82; OR 1.53, 95% CI 1.11-2.11; and OR 1.59, 95% CI 1.15-2.20 for the 2nd, 3rd, and 4th SEP quartile respectively) and a lower risk of LBW (OR 0.69, 95% CI 0.55-0.86; OR 0.76, 95% CI 0.61-0.94; and OR 0.61, 95% CI 0.48-0.77 for the 2nd, 3rd, and 4th SEP quartile respectively), compared to the 1st SEP quartile. We found that pre-pregnancy BMI did not mediate the associations of SEP with macrosomia and LBW. CONCLUSIONS: Socioeconomic disparities in fetal macrosomia and LBW exist in Southern China. Whether the results can be applied to other populations should be further investigated.
Entities:
Keywords:
Birth cohort; Low birth weight; Macrosomia; Socioeconomic position
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