1995
DOI: 10.1016/0002-9378(95)90287-2
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Factors associated with preterm birth in Cardiff, Wales

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Cited by 167 publications
(112 citation statements)
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“…In 1957, Simpson (1957) first suggested an association between smoking and preterm delivery and identified a dose-response relationship between cigarette smoking and preterm delivery; he also reported that the incidence of low birth weight infants among smokers was nearly twice than among non-smokers. Other investigators have also reported similar conclusions (Meyer & Tonascia 1977, McDonald et al 1992, Meis et al 1995.…”
Section: Introductionsupporting
confidence: 69%
“…In 1957, Simpson (1957) first suggested an association between smoking and preterm delivery and identified a dose-response relationship between cigarette smoking and preterm delivery; he also reported that the incidence of low birth weight infants among smokers was nearly twice than among non-smokers. Other investigators have also reported similar conclusions (Meyer & Tonascia 1977, McDonald et al 1992, Meis et al 1995.…”
Section: Introductionsupporting
confidence: 69%
“…However, in these studies only a limited number of explanatory factors was included. [4][5][6][7] Pregnancy characteristics In our study, a relatively high prevalence of pre-eclampsia and IUGR was found among lower educated women. Since both pre-eclampsia and IUGR are highly associated with and often the direct cause of preterm birth, these medical conditions explained part of the increased risk of preterm birth among low educated women.…”
Section: Explanation Of Risk Of Preterm Birthmentioning
confidence: 47%
“…The magnitude of the odds ratio for preterm birth among low versus high educated women compares well with earlier findings from Western countries. [4][5][6][7][8][9][10] For instance, Peacock et al also reported the prevalence of preterm birth in the U.K. roughly to be twice as high in the lower SES strata as compared to high SES. 9 …”
Section: Discussionmentioning
confidence: 99%
“…We then discovered that routinely collected maternity data often have a significant proportion of cases with unrecorded, or unknown, best estimate of gestational age at birth; up to 40% of cases having been thereby excluded from some reports. [6][7][8][9][10] It is important to identify the reasons for unrecorded best estimate of gestational age at birth, because if the group excluded from analysis differed systematically from the analysed group, then the results would be biased and the sample studied would not be a true representative of the population.…”
Section: Introductionmentioning
confidence: 99%