Literature DB >> 20618317

Reduced birthweight in short or primiparous mothers: physiological or pathological?

X Zhang1, S L Mumford, S Cnattingius, E F Schisterman, M S Kramer.   

Abstract

OBJECTIVE: Customisation of birthweight-for-gestational-age standards for maternal characteristics assumes that variation in birth weight as a result of those characteristics is physiological, rather than pathological. Maternal height and parity are among the characteristics widely assumed to be physiological. Our objective was to test that assumption by using an association with perinatal mortality as evidence of a pathological effect.
DESIGN: Population-based cohort study.
SETTING: Sweden. POPULATION: A total of 952 630 singletons born at > or =28 weeks of gestation in the period 1992-2001.
METHODS: We compared perinatal mortality among mothers of short stature (<160 cm) versus those of normal height (> or =160 cm), and primiparous versus multiparous mothers, using an internal reference of estimated fetal weight for gestational age. The total effects of maternal height and parity were estimated, as well as the effects of height and parity independent of birthweight (controlled direct effects). All analyses were based on fetuses at risk, using marginal structural Cox models for the estimation of total and controlled direct effects. MAIN OUTCOME MEASURES: Perinatal mortality, stillbirth, and early neonatal mortality.
RESULTS: The estimated total effect (HR; 95% CI) of short stature on perinatal death among short mothers was 1.2 (95% CI 1.1-1.3) compared with women of normal height; the effect of short stature independent of birthweight (controlled direct effect) was 0.8 (95% CI 0.6-1.0) among small-for-gestational-age (SGA) births, but 1.1 (95% CI 1.0-1.3) among non-SGA births. Similar results were observed for primiparous mothers.
CONCLUSIONS: The effect of maternal short stature or primiparity on perinatal mortality is partly mediated through SGA birth. Thus, birthweight differences resulting from these maternal characteristics appear not only to be physiological, but also to have an important pathological component.

Entities:  

Mesh:

Year:  2010        PMID: 20618317      PMCID: PMC3071625          DOI: 10.1111/j.1471-0528.2010.02642.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  31 in total

1.  Perinatal outcome in SGA births defined by customised versus population-based birthweight standards.

Authors:  B Clausson; J Gardosi; A Francis; S Cnattingius
Journal:  BJOG       Date:  2001-08       Impact factor: 6.531

2.  Incidence-based measures of birth, growth restriction, and death can free perinatal epidemiology from erroneous concepts of risk.

Authors:  K S Joseph
Journal:  J Clin Epidemiol       Date:  2004-09       Impact factor: 6.437

3.  Differences in late fetal death rates in association with determinants of small for gestational age fetuses: population based cohort study.

Authors:  S Cnattingius; B Haglund; M S Kramer
Journal:  BMJ       Date:  1998-05-16

4.  Customised birthweight percentiles: does adjusting for maternal characteristics matter?

Authors:  J A Hutcheon; X Zhang; S Cnattingius; M S Kramer; R W Platt
Journal:  BJOG       Date:  2008-10       Impact factor: 6.531

5.  Workshop summary: fetal growth: its regulation and disorders.

Authors:  W W Hay; C S Catz; G D Grave; S J Yaffe
Journal:  Pediatrics       Date:  1997-04       Impact factor: 7.124

Review 6.  Determinants of low birth weight: methodological assessment and meta-analysis.

Authors:  M S Kramer
Journal:  Bull World Health Organ       Date:  1987       Impact factor: 9.408

7.  A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation.

Authors:  Jay S Kaufman; Richard F Maclehose; Sol Kaufman
Journal:  Epidemiol Perspect Innov       Date:  2004-10-08

8.  An outcome-based approach for the creation of fetal growth standards: do singletons and twins need separate standards?

Authors:  K S Joseph; John Fahey; Robert W Platt; Robert M Liston; Shoo K Lee; Reg Sauve; Shiliang Liu; Alexander C Allen; Michael S Kramer
Journal:  Am J Epidemiol       Date:  2009-01-06       Impact factor: 4.897

9.  A parsimonious explanation for intersecting perinatal mortality curves: understanding the effect of plurality and of parity.

Authors:  KS Joseph; Shiliang Liu; Kitaw Demissie; Shi Wu Wen; Robert W Platt; Cande V Ananth; Susie Dzakpasu; Reg Sauve; Alexander C Allen; Michael S Kramer
Journal:  BMC Pregnancy Childbirth       Date:  2003-06-02       Impact factor: 3.007

10.  A parsimonious explanation for intersecting perinatal mortality curves: understanding the effects of race and of maternal smoking.

Authors:  K S Joseph; Kitaw Demissie; Robert W Platt; Cande V Ananth; Brian J McCarthy; Michael S Kramer
Journal:  BMC Pregnancy Childbirth       Date:  2004-04-16       Impact factor: 3.007

View more
  9 in total

1.  Defining small-for-gestational-age: prescriptive versus descriptive birthweight standards.

Authors:  Liset Hoftiezer; Chantal W P M Hukkelhoven; Marije Hogeveen; Huub M P M Straatman; Richard A van Lingen
Journal:  Eur J Pediatr       Date:  2016-06-02       Impact factor: 3.183

2.  Customized large-for-gestational-age birthweight at term and the association with adverse perinatal outcomes.

Authors:  Lindsey A Sjaarda; Paul S Albert; Sunni L Mumford; Stefanie N Hinkle; Pauline Mendola; S Katherine Laughon
Journal:  Am J Obstet Gynecol       Date:  2013-09-10       Impact factor: 8.661

3.  Differences in risk factors for incident and recurrent small-for-gestational-age birthweight: a hospital-based cohort study.

Authors:  S N Hinkle; P S Albert; P Mendola; L A Sjaarda; N S Boghossian; E Yeung; S K Laughon
Journal:  BJOG       Date:  2014-04-07       Impact factor: 6.531

4.  Association between adolescent pregnancy and adverse birth outcomes, a multicenter cross sectional Japanese study.

Authors:  Kohei Ogawa; Sachio Matsushima; Kevin Y Urayama; Norihiko Kikuchi; Noriyuki Nakamura; Shinji Tanigaki; Haruhiko Sago; Shoji Satoh; Shigeru Saito; Naho Morisaki
Journal:  Sci Rep       Date:  2019-02-20       Impact factor: 4.379

5.  Associations of severe adverse perinatal outcomes among continuous birth weight percentiles on different birth weight charts: a secondary analysis of a cluster randomized trial.

Authors:  Hester D Kamphof; Sanne J Gordijn; Wessel Ganzevoort; Viki Verfaille; Pien M Offerhaus; Arie Franx; Eva Pajkrt; Ank de Jonge; Jens Henrichs
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-30       Impact factor: 3.105

6.  Do parental heights influence pregnancy length?: A population-based prospective study, HUNT 2.

Authors:  Kirsti Myklestad; Lars Johan Vatten; Elisabeth Balstad Magnussen; Kjell Åsmund Salvesen; Pål Richard Romundstad
Journal:  BMC Pregnancy Childbirth       Date:  2013-02-05       Impact factor: 3.007

7.  Association between maternal characteristics and neonatal birth weight in a Korean population living in the Seoul metropolitan area, Korea: a birth cohort study (COCOA).

Authors:  Youn Ho Shin; Suk-Joo Choi; Kyung Won Kim; Jinho Yu; Kang Mo Ahn; Hyung Young Kim; Ju-Hee Seo; Ji-Won Kwon; Byoung-Ju Kim; Hyo-Bin Kim; Jung Yeon Shim; Woo Kyung Kim; Dae Jin Song; So-Yeon Lee; Soo Young Lee; Gwang Cheon Jang; Ja-Young Kwon; Kyung-Ju Lee; Hee Jin Park; Pil Ryang Lee; Hye-Sung Won; Soo-Jong Hong
Journal:  J Korean Med Sci       Date:  2013-03-27       Impact factor: 2.153

8.  Assessing the Causal Relationship of Maternal Height on Birth Size and Gestational Age at Birth: A Mendelian Randomization Analysis.

Authors:  Ge Zhang; Jonas Bacelis; Candice Lengyel; Kari Teramo; Mikko Hallman; Øyvind Helgeland; Stefan Johansson; Ronny Myhre; Verena Sengpiel; Pål Rasmus Njølstad; Bo Jacobsson; Louis Muglia
Journal:  PLoS Med       Date:  2015-08-18       Impact factor: 11.069

9.  Risk factors for perinatal death in two different levels of care: a case-control study.

Authors:  Paula Maria Silveira Soares Moura; Izildinha Maestá; Lígia Maria Souza Suppo Rugolo; Luís Felipe Ramos Berbel Angulski; Antônio Prates Caldeira; José Carlos Peraçoli; Marilza Vieira Cunha Rudge
Journal:  Reprod Health       Date:  2014-01-30       Impact factor: 3.223

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.