OBJECTIVE: To determine whether consanguinity adversely influences pregnancy outcome in South India, where consanguinity is a common means of family property retention. STUDY DESIGN: Data were collected from a prospective cohort of 647 consenting women, consecutively registered for antenatal care between 14 and 18 weeks gestation, in Belgaum district, Karnataka in 2005. Three-generation pedigree charts were drawn for consanguineous participants. χ (2)-Test and Student's t-test were used to assess categorical and continuous data, respectively, using SPSS version 14. Multivariate logistic regression adjusted for confounding variables. RESULT: Overall, 24.1% of 601 women with singleton births and outcome data were consanguineous. Demographic characteristics between study groups were similar. Non-consanguineous couples had fewer stillbirths (2.6 vs 6.9% P=0.017; adjusted P=0.050), miscarriages (1.8 vs 4.1%, P=0.097; adjusted P=0.052) and lower incidence of birth weight <2500 g (21.8 vs 29.5%, P=0.071, adjusted P=0.044). Gestation <37 weeks was 6.2% in both the groups. Adjusted for consanguinity and other potential confounders, age <20 years was protective of stillbirth (P=0.01), pregnancy loss (P=0.023) and preterm birth (P=0.013), whereas smoking (P=0.015) and poverty (P=0.003) were associated with higher rates of low birth weight. CONCLUSION: Consanguinity significantly increases pregnancy loss and birth weight <2500 g.
OBJECTIVE: To determine whether consanguinity adversely influences pregnancy outcome in South India, where consanguinity is a common means of family property retention. STUDY DESIGN: Data were collected from a prospective cohort of 647 consenting women, consecutively registered for antenatal care between 14 and 18 weeks gestation, in Belgaum district, Karnataka in 2005. Three-generation pedigree charts were drawn for consanguineous participants. χ (2)-Test and Student's t-test were used to assess categorical and continuous data, respectively, using SPSS version 14. Multivariate logistic regression adjusted for confounding variables. RESULT: Overall, 24.1% of 601 women with singleton births and outcome data were consanguineous. Demographic characteristics between study groups were similar. Non-consanguineous couples had fewer stillbirths (2.6 vs 6.9% P=0.017; adjusted P=0.050), miscarriages (1.8 vs 4.1%, P=0.097; adjusted P=0.052) and lower incidence of birth weight <2500 g (21.8 vs 29.5%, P=0.071, adjusted P=0.044). Gestation <37 weeks was 6.2% in both the groups. Adjusted for consanguinity and other potential confounders, age <20 years was protective of stillbirth (P=0.01), pregnancy loss (P=0.023) and preterm birth (P=0.013), whereas smoking (P=0.015) and poverty (P=0.003) were associated with higher rates of low birth weight. CONCLUSION: Consanguinity significantly increases pregnancy loss and birth weight <2500 g.
Authors: Ana L Garces; Elizabeth M McClure; Wilton Pérez; K Michael Hambidge; Nancy F Krebs; Lester Figueroa; Carl L Bose; Waldemar A Carlo; Constance Tenge; Fabian Esamai; Shivaprasad S Goudar; Sarah Saleem; Archana B Patel; Melody Chiwila; Elwyn Chomba; Antoinette Tshefu; Richard J Derman; Patricia L Hibberd; Sherri Bucher; Edward A Liechty; Melissa Bauserman; Janet L Moore; Marion Koso-Thomas; Menachem Miodovnik; Robert L Goldenberg Journal: Acta Paediatr Date: 2017-04-05 Impact factor: 2.299
Authors: E M McClure; A Garces; S Saleem; J L Moore; C L Bose; F Esamai; S S Goudar; E Chomba; M Mwenechanya; O Pasha; A Tshefu; A Patel; S M Dhaded; C Tenge; I Marete; M Bauserman; S Sunder; B S Kodkany; W A Carlo; R J Derman; P L Hibberd; E A Liechty; K M Hambidge; N F Krebs; M Koso-Thomas; M Miodovnik; D D Wallace; R L Goldenberg Journal: BJOG Date: 2017-01-31 Impact factor: 6.531
Authors: Elizabeth M McClure; Sarah Saleem; Shivaprasad S Goudar; Ana Garces; Ryan Whitworth; Fabian Esamai; Archana B Patel; Shiyam Sunder Tikmani; Musaku Mwenechanya; Elwyn Chomba; Adrien Lokangaka; Carl L Bose; Sherri Bucher; Edward A Liechty; Nancy F Krebs; S Yogesh Kumar; Richard J Derman; Patricia L Hibberd; Waldemar A Carlo; Janet L Moore; Tracy L Nolen; Marion Koso-Thomas; Robert L Goldenberg Journal: Reprod Health Date: 2020-11-30 Impact factor: 3.223