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Dibben, Chris; Sigala, Maria; Macfarlane, Alison (2006)
Publisher: BMJ Group
Languages: English
Types: Article
Subjects: Research Report, RG, RA
Objective: To explore the relationship between low and very low birth weights, mother’s age, individual socioeconomic status and area deprivation.\ud \ud Design: Analysis of the incidence of low and very low birth weights by area deprivation, maternal age, social class of household and estimated income.\ud \ud Setting: England 1996–2000.\ud \ud Subjects: 2 894 440 singleton live births and the 10% sample of these births for which parents’ individual level\ud socioeconomic measures were coded.\ud \ud Results: Social class, estimated household income, lone-parenthood and mother’s age were all associated with the risk of low and very low birth weight. Even when controlling for these individual level factors, area income deprivation was significantly associated with low and very low birth weight (p,0.00). For low birth weight there was a significant interaction between area income deprivation and mother’s age. For very young mothers, the area effect was non-significant (p,0.37). For older mothers, particularly those aged 30–34 years, it was stronger (p,0.00). As a result, mothers aged ,18 years, although at relatively high risk of low birth weight irrespective of area income deprivation, were actually at slightly lower risk than mothers aged .40 years in the most deprived areas.\ud \ud Conclusions: For all but very young mothers, there seems to be a negative effect on birth weight from living in areas of income deprivation, whatever their individual circumstances.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1 Kuh D, Ben-Shlomo Y. A life course approach to chronic disease epidemiology, 2nd edn. Oxford: Oxford University Press, 2004.
    • 2 Wilcox AJ. On the importance-and the unimportance-of birthweight. Int J Epidemiol 2001;30:1233-41.
    • 3 Macfarlane A, Mugford M. Birth counts: statistics of pregnancy and childbirth, 2nd edn. London: The Stationery Office, 2000.
    • 4 Moser K, Li L, Power C. Social inequalities in low birth weight in England and Wales: trends and implications for future population health. J Epidemiol Community Health 2003;57:687-91.
    • 5 Macfarlane A, Stafford M, Moser K. Social inequalities. Chapter 8. In Office for National Statistics, eds. The health of children and young people London, Office for National Statistics, 2004.
    • 6 Maher J, Macfarlane A. Trends in live births and birthweight by social class, marital status and mother's age, 1976-2000. Health Stat Q 2004;(23):34-42.
    • 7 Stevenson THC. The vital statistics of wealth and poverty. J R Stat Soc 1928;91:207-30.
    • 8 Macintyre S, Maciver S, Soomans A. Area, class and health: Should we be focusing on places or people? J Soc Policy 1993;22:213-34.
    • 9 Pattenden S, Dolk H, Vrijheid M. Inequalities in low birthweight parental social class, area deprivation, and ''lone mother'' status. J Epidemiol Community Health 1999;53:355-8.
    • 10 Spencer N, Bambang S, Logan S, et al. Socioeconomic status and birthweight: comparison of an area-based measure with the Registrar General's social class. J Epidemiol Community Health 1999;53:495-8.
    • 11 Cooper N. Analysis of infant mortality rates by risk factors and by cause of death in England and Wales. In: Griffiths C, Fitzpatrick J, eds. Geographic variations in health. London: The Stationery Office, 2001:182-99.
    • 12 Krieger N, Chen JT, Waterman PD, et al. Choosing area based socioeconomic measures to monitor social inequalities in low birthweight and childhood lead poisoning: The Public Health Disparities Project (US). J Epidemiol Community Health 2003;57:186-99.
    • 13 Roberts EM. Neighborhood social environments and the distribution of low birthweight in Chicago. Am J Public Health 1997;87:597-603.
    • 14 O'Campo P, Xue X, Wang MC, et al. Neighbourhood risk factors for low birthweight in Baltimore: a multilevel analysis. Am J Public Health 1997;87:1113-18.
    • 15 Pearl M, Braveman P, Abrams B. The relationship of neighborhood socioeconomic characteristics to birthweight among 5 ethnic groups in California. Am J Public Health 2001;91:1808-14.
    • 16 Rich-Edwards J, Krieger N, Majzoub J, et al. Maternal experiences of racism and violence as predictors of preterm birth: rationale and study design. Paediatr Perinat Epidemiol 2001;15:124-35.
    • 17 Ponce NA, Hoggatt KJ, Wilhelm M, et al. Preterm birth: the interaction of traffic-related air pollution with economic hardship in Los Angeles neighborhoods. Am J Epidemiol 2005;162:140-8.
    • 18 Buka SL, Brennan RT, Rich-Edwards JW, et al. Neighborhood support and the birth weight of urban infants. Am J Epidemiol 2003;157:1-8.
    • 19 Andrulis DP. Access to care is the centerpiece in the elimination of socioeconomic disparities in health. Ann Intern Med 1998;129:412-16.
    • 20 Morenoff JD. Neighborhood mechanisms and the spatial dynamics of birth weight. Am J Sociol 2003;108:976-1017.
    • 21 Rodriguez C, Redigor E, Gutierrez-Fisac JL. Low birth weight in Spain associated with sociodemographic factors. J Epidemiol Community Health 1995;49:38-42.
    • 22 Basso O, Olsen J, Johansen AMT, et al. Change in social status and risk of low birth weight in Denmark: population based cohort study. BMJ 1997;315:1498-502.
    • 23 Sayers S, Powers J. Risk factors for aboriginal low birthweight, intrauterine growth retardation and preterm birth in the Darwin Health Region. Aust N Z J Public Health 1997;21:524-30.
    • 24 Collingwood BA. Trends in live birth by mother's country of birth and other factors affecting low birthweight in England and Wales 1983-2001. Health Stat Q 2004;23:34-42.
    • 25 Aveyard P, Cheng KK, Manseki S, et al. The risk of preterm delivery in women from different ethnic groups. Br J Obstet Gynaecol 2002;109:894-9.
    • 26 Zeitlin J, Bucourt M, Rivera L, et al. Preterm birth and maternal country of birth in a French district with a multiethnic population. Br J Obstet Gynaecol 2004;111:849-555.
    • 27 Le LT, Kiely JL, Schoendorf KC. Birthweight outcome among Asian American and Pacific Islander subgroups in the US. Int J Epidemiol 1996;25:973-9.
    • 28 Maher J, Macfarlane A. Inequalities in infant mortality: trends by social class, registration status, mother's age and birth weight, England and Wales, 1976- 2000. Health Stat Q 2004;24:14-22.
    • 29 Noble M, Smith G, Penhale B, et al. Measuring multiple deprivation at the local level. The indices of deprivation 2000. London: DETR, 2000.
    • 30 Noble M, Smith G, Wright G, et al. Welsh Index of Multiple Deprivation 2000. Cardiff: The National Assembly for Wales, 2000.
    • 31 Noble M, Smith GAN, Wright G, et al. The Northern Ireland Multiple Deprivation Measure 2001, Occasional Paper No. 18. Belfast: Northern Ireland Statistics and Research Agency, 2001.
    • 32 Noble M, Wright G, Dibben C, et al. Indices of Deprivation 2004. London: ODPM, 2004.
    • 33 Noble M, Wright G, Lloyd M, et al. Scottish Indices of Deprivation 2001, Report of the Scottish Executive, Edlnburgh, 2003.
    • 34 Goldstein H, Browne W, Rasbash J. Partitioning variation in multilevel models. Understanding Statist 2002;1:223-31.
    • 35 Larsen K, Petersen JH, Budtz-Jorgensen E, et al. Interpreting parameters in the logistic regression model with random effects. Biometrics 2000;56:909-14.
    • 36 Larsen K, Merlo J. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol 2005;161:81-8.
    • 37 Rabe-Hesketh S, Skrondal A, Pickles A. GLLAMM manual. U.C. Berkeley Division of Biostatistics Working Paper Series, 2004.
    • 38 Browne WJ, Subramanian SV, Jones K, et al. Variance partitioning in multilevel logistic models that exhibit overdispersion. J R Statist Soc: Ser A (Statist Soc) 2005;168:599-613.
    • 39 Hope S, Power C, Rodgers B. Does financial hardship account for elevated psychological distress in lone mothers? Soc Sci Med 1999;49:1637.
    • 40 Menaghan EG, Kowaleski-Jones L, Mott FL. The intergenerational costs of parental social stressors: academic and social difficulties in early adolescence for children of young mothers. J Health Soc Behav 1997;38:72-86.
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