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2013 | 76 | 2 | 229-240

Article title

Assessing social status effects on age of primiparity in Polish women

Authors

Title variants

Languages of publication

EN

Abstracts

EN
The maternal first birth age is an important predictor of the size, composition and future growth of population and a wide range of birth outcomes such as birth weight, multiple births, and birth defects. This paper aims to test the hypothesis that age of mothers at first childbirth depends on their socio-economic status and lifestyle behaviour. The examined sample emanated from the WOMID national cross-sectional survey on middle-aged women’s health and life quality in 2000-2004, and it consisted of 1,924 parous women born between 1953 and 1969 and aged 35-45 years at the time of examination. Social status was defined by place of residence, educational attainment, employment status, financial strain, and lifestyle behaviour by physical activity, cigarette smoking, alcohol use, weight status and self-reported health status. The association of age at first childbirth with social status characteristics was adjusted to marital status and use of oral contraceptives (OCU). Multiple correspondence analysis (MCA) was used to cluster studied variables. Predictive factors for first childbirth timing were determined by a factorial design with the multi- way ANOVA and their interactions. The odds ratios of the factors associated with later maternal age at first childbirth were evaluated through multiple logistic regressions with backward elimination. Statistics for this analysis were performed using STATISTICA software, Version 10.0 (StatSoft Polska). It was found that large city residents with higher educational levels, currently employed and without financial strain, non-smoking cigarettes and drinking alcohol, participating in physical exercises and maintaining proper weight and oral contraceptive users were more likely to delay their first childbirth over the median age of 23 years, than their counterparts. The most important predictors of the maternal first birth age were: educational attainment (F=19.8; p<0.001), place of residence (F=4.2 p<0.021), employment status (F=3.7; p=0.026), tobacco use (F=5.0; p=0.007), and use of oral contraceptives (F=3.6; p=0.033),. They explained 15% of the total variance in the maternal first birth age. The probability of delivering first child at more advanced age was almost two times higher for large-city residents than for rural counterparts (OR=1.58); five times higher for women with better educational qualifications as compared to primarily educated peers (OR=5.24). Currently employed women were 1.5 times more likely to be primiparous at more advanced age than the unemployed counterparts (OR=1.5). Current smokers were 1.3 times less likely than their never smoked peers to deliver a child at older age (OR=0.75). The OC users were 1.5 times more likely for delaying childbirth than never OCU counterparts. The study have revealed key sets of social predictor variables for maternal first birth age. They include: place of residence, educational attainment and employment status, use of oral contraceptives and smoking habit. Women’s education appears to be the most predictive factor for entering the motherhood.

Publisher

Year

Volume

76

Issue

2

Pages

229-240

Physical description

Dates

published
2013-12-01
online
2014-01-25

Contributors

  • Department of Human Biological Development, Institute of Anthropology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poland

References

  • Amaro H, Nawarro AM, Conron KJ, Raj A. 2002. Cultural Influence on Women’s Sexual Health. In: Handbook of Women’s Sexual and Reproductive Health. GM Wingood and RJ DiClemente (editors) Second Edition Springer.
  • Bielicki T, Welon Z. 1982. Growth data as indicators of social inequalities: the case of Poland. Yearbook Phys Anthropol 25:153-167.
  • Bielicki T, Szklarska A, Welon Z, Brajczewski C. 1997. Nierówności społeczne w Polsce. Antropologiczne badania poborowych w trzydziestoleciu (1965-1995), Monografie Zakładu Antropologii PAN 17, Wrocław.
  • Bloemen H, Kalwij AS. 2001. Female labor market transitions and the timing of births: a simultaneous analysis of the effects of schooling. Labour Econ 8(5):593-620.
  • Connolly MP, Hoorens S, Chambers GM. 2010. ESHRE Reproduction and Society Task Force. The costs and consequences of assisted reproductive technology: an economic perspective. Hum Reprod Update 16:603-13.
  • Dressler WW. 2004. Culture and the risk of disease. Brit Med Bull 69: 21-31.
  • EUROSTAT: Fertility statistics http://epp.eurostat.ec.europa.eu [Accessed June 20, 2013].
  • Europe in figures. Eurostat yearbook 2012.
  • European Commission. http://bit.ly/Eurostat_yearbook [Accessed June 20, 2013].
  • Fogli A, Veldkamp L. 2011. Nature or nurture? Learning and the geography of female labor force participation. Econometrica 79(4):1103-38.
  • Frejka T, Sardon J. 2006. First birth trends in developed countries: Persisting parenthood postponement. Demogr Res 15(6):147-180.
  • Glasier A, Gulmezoglu AM, Schmid GP, Moreno CG, Van Look PF. 2006. Sexual and reproductive health: a matter of life and death. Lancet 368(9547):1595-1607.
  • Główny Urząd Statystyczny Departament Badań Demograficznych. Podstawowe informacje o sytuacji demograficznej Polski w 2011 roku. www.stat.gov.pl [Accessed June 20, 2013].
  • Haines A, Cassels A. 2004. Can the millennium development goals be attained? BMJ 29(7462):394-97.
  • Hoem JM, Neyer G, Andersson G. 2006. Education and childlessness. The relationship between educational field, educational level, and childlessness among Swedish women born in 1955-59. Demogr Res 14:331-380.
  • Kaczmarek M. 2000. A Polish version of menopause- specific questionnaire, its validity and reliability. Manuscript.
  • Kaczmarek M. 2007a. The timing of natural menopause in Poland and associated factors. Maturitas 57:139-153.
  • Kaczmarek M. 2007b. Określenie wieku menopauzy naturalnej w p[opulacji polskich kobiet. Przegl Menop 2:77-82.
  • Klasen A, Launov A. 2006. Analysis of the determinants of fertility decline in the Czech Republic. J Popul Econ 19:25-54.
  • Kotowska I, Jóźwiak J, Matysiak A, Baranowska A. 2008. Poland: Fertility decline as a response to profound societal and labour market changes? Demogr Res 19:795-854.
  • Kravdal Ø, Rindfuss RR. 2008. Changing relationships between education and fertility: a study of women and men born 1940-1964. Am Soc Rev 73:854-873.
  • Lappegård T, Rønsen M. 2005. The multifaceted impact of education on entry into motherhood. Eur J Popul 21:31-49.
  • Lesthaeghe R, van de Kaa DJ. 1986. Twee Demografische Transities ? In: R Lesthaeghe and DJ van de Kaa (editors). Groei of Krimp. Book volume of Mens en Maatschappij, Deventer (Netherlands): Van Loghum-Slaterus:9-24.
  • Mills M, Rindfuss RR, McDonald P, Te Velde E. 2011. Why do people postpone parenthood? Reasons and social policy incentives. Hum Reprod Update 17(6):848-860.
  • Nicoletti Ch, Tanturri M-L. 2005. Differences in delaying motherhood across european countries: empirical evidence from the ECHP. Working Papers of the Institute for Social and Economic Research, paper 2005-4. Colchester: University of Essex.
  • Philipov D, Kohler H-P. 2001. Tempo effects in the fertility decline in Eastern Europe; evidence from Bulgaria, the Czech Republic, Hungary, Poland, and Russia. Eur J Popul 17(1):37-60.
  • Rodgers JL, Kohler HP, McGue M, Behrman JR, Petersen I, Bingley P, Christensen K. 2008. Education and cognitive ability as direct, mediating or spurious influences on female age at first birth: behavior genetic models fit to danish twin data. American J Sociol 114:202-232.
  • Rona RJ, Mahabir D, Rocke B, Chinn S, Gulliford MC. 2003. Social inequalities and children’s height in Trinidad and Tobago. Eur J Clin Nutr 57(1):143-50.
  • Schell LM, Ravenscroft J, Gallo MV, Denham M. 2007. Advancing biocultural models by working with communities: a partnership approach. Am J Hum Biol 19(4):511-524.
  • Tavares L. 2008 Who delays childbearing? The relationship between fertility, education and personality traits. Carlo F. Dondena Centre for Research on Social Dynamics Working Paper No. 9. URL: www. dondena.unibocconi.it/wp9 [Accessed June 24, 2013].
  • Thevenon O. 2009. Increased women’s labour force participation in Europe: Progress in the work-life balance or polarization of behaviours? Population 64(2):235-272.
  • Van de Kaa DJ. 1987. Europe’s Second Demographic Transition. Popul Bull 42 (1), Washington, The Population Reference Bureau.
  • Van de Kaa DJ. 1994. The Second Demographic Transition Revisited: Theories and Expectations. In: GCN Beets et al. (editors).Population and Family in the Low Countries 1993. Lisse, Zwets and Zeitlinger. (Updated and abbreviated version of PDOD Werkstukken No. 109, 1988).
  • Van de Kaa DJ 2001. Demographic Transition, Second. International Encyclopedia of the Social and Behavioral Sciences 5:3486-3488.
  • Wolański N. 2012. Rozwój biologiczny człowieka. Podstawy auksologii, gerontologii i promocji zdrowia (wyd. 8) Wydawnictwo Naukowe PWN

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_anre-2013-0024
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