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FERTILITY INTENTIONS AND EARLY LIFE HEALTH STRESS AMONG WOMEN IN EIGHT INDIAN CITIES: TESTING THE REPRODUCTIVE ACCELERATION HYPOTHESIS

Published online by Cambridge University Press:  13 August 2014

SANGITA KULATHINAL  and
MINNA SÄÄVÄLÄ
SANGITA KULATHINAL
Affiliation:
Department of Food and Environmental Sciences, University of Helsinki, Finland
MINNA SÄÄVÄLÄ*
Affiliation:
Population Research Institute, Väestöliitto, Helsinki, Finland
*
1Corresponding author. Email: minna.saavala@vaestoliitto.fi
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Summary

In life history theory, early life adversity is associated with an accelerated reproductive tempo. In harsh and unpredictable conditions in developing societies fertility is generally higher and the reproductive tempo faster than in more secure environments. This paper examines whether differences in female anthropometry, particularly adult height, are associated with fertility intentions of women in urban environments in India. The study population consists of women aged 15–29 (N=4485) in slums and non-slums of eight Indian cities in the National Family Health Survey (NFHS) of 2005–2006. Adult height is taken as a proxy for early childhood health and nutritional condition. Fertility intentions are examined by using two variables: the desire to have a child or another child, and to have it relatively soon, as indicative of accelerated reproductive scheduling. Evidence supporting the acceleration hypothesis is found in two urban frames out of 26 examined in a two-staged multinomial logistic model. In three cases, the relationship between fertility intentions and height is the opposite than expected by the acceleration hypothesis: taller women have a higher predictive probability of desiring a(nother) child and/or narrower birth spacing. Potential explanations for the partly contradictory relationship between the childhood health indicator and fertility intentions are discussed.

Type
Articles
Information
Journal of Biosocial Science , Volume 47 , Issue 5 , September 2015 , pp. 632 - 649
Copyright
Copyright © Cambridge University Press 2014 

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References

Adair, L. S. (2001) Size at birth predicts age at menarche. Pediatrics 107, e59. URL: http://pediatrics.aappublications.org/content/107/4/e59.Google Scholar
Bhat, P. N. M. (2002) Returning a favor: reciprocity between female education and fertility in India. World Development 30, 1791–1803.Google Scholar
Belsky, J. (2012) The development of human reproductive strategies: progress and prospects. Current Directions in Psychological Science 21, 310–316.CrossRefGoogle Scholar
Brookins, M. L. (2002) An exploratory analysis of fertility differentials in India. Journal of Development Studies 39, 54–72.Google Scholar
Burton, L. (1990) Teenage childbearing as an alternative life-course strategy in multigeneration black families. Human Nature 1, 123–143.Google Scholar
Case, A. & Paxson, C. (2010) Causes and consequences of early life health. NBER Working Paper Series, Working Paper 15637. National Bureau of Economic Research, Cambridge, MA. URL: http://www.nber.org/papers/w15637.Google Scholar
Char, A., Saavala, M. & Kulmala, T. (2010) Influence of mothers-in-law on young couples' family planning decisions in rural India. Reproductive Health Matters 18, 154–162.Google Scholar
Chisholm, J. S., Quinlivan, J., Petersen, R. & Coall, D. (2005) Early stress predicts age at menarche and first birth, adult attachment, and expected lifespan. Human Nature 16, 233–265.Google Scholar
Drèze, J. & Murthi, M. (2001) Fertility, education and development: evidence from India. Population and Development Review 27, 33–36.Google Scholar
Edmeades, J., Pande, R. P., Falle, T. & Krishnan, S. (2011) Son preference and sterilisation use among young married women in two slums in Bengaluru city, India. Global Public Health 6, 407–420.Google Scholar
Eini-Zinab, H. (2013) Multidimensional life-table analysis of the effect of child mortality on total fertility in India, 1992–93, 1998–99, 2005–06. Population Studies 67, 7–23.Google Scholar
Gagnon, A., Smith, K. R., Tremblay, M., Vézina, H., Paré, P. P. & Desjardins, B. (2009) Is there a trade-off between fertility and longevity? A comparative study of women from three large historical databases accounting for mortality selection. American Journal of Human Biology 21, 533–540.Google Scholar
Guilmoto, C. Z. (2005) Fertility decline in India. In Guilmoto, C. Z. & Rajan, S. I. (eds) Fertility Transition in South India. Sage, New Delhi, pp. 385–435.Google Scholar
Guilmoto, C. Z. & Rajan, S. I. (eds) (2005) Fertility Transition in South India. Sage, New Delhi.Google Scholar
Gupta, K., Arnold, F. & Lhungdim, H. (2009) Health and Living Conditions in Eight Indian Cities. National Family Health Survey (NFHS-3), India, 2005–06. International Institute for Population Sciences, Mumbai & ICF Macro, Calverton, MD, USA.Google Scholar
Gurmu, E. & Mace, R. (2008) Fertility decline driven by poverty: the case of Addis Ababa, Ethiopia. Journal of Biosocial Science 40, 339–358.Google Scholar
Hobcraft, J. (2006). The ABC of demographic behaviour: how the interplays of alleles, brains, and contexts over the life course should shape research aimed at understanding population processes. Population Studies 60, 153–187.Google Scholar
Ibanez, L., Ferrer, A., Marcos, M. V., Hierro, F. R. & de Zegher, F. (2000) Early puberty: rapid progression and reduced final height in girls with low birth weight. Pediatrics 106. URL: e72. http://pediatrics.aappublications.org/content/106/5/e72.full.Google Scholar
Imai, K. S. (2008) Fertility, parental education and development in India: evidence from NSS and NFHS in 1992–2006. SSRN Working Paper Series, December 2008.Google Scholar
IIPS & Macro International (2007) National Family Health Survey (NFHS-3), 2005–06: India: Volume I. International Institute for Population Sciences, Mumbai.Google Scholar
Karaolis-Danckert, N., Buyken, A. E., Sonntag, A. & Kroke, A. (2009) Birth and early life influences on the timing of puberty onset: results from the DONALD (Dortmund nutritional and anthropometric longitudinally designed) study. American Journal of Clinical Nutrition 90, 1559–1565.Google Scholar
Karlberg, J. (1989) A biologically-oriented mathematical model (ICP) for human growth. Acta Paediatrica Scandinavica 350 (supplement), 70–94.Google Scholar
Kishor, S. (1994) Fertility decline in Tamil Nadu, India. In Egerö, B. & Hammarskjöld, M. (eds) Understanding Reproductive Change: Kenya, Tamil Nadu, Punjab, Costa Rica. Lund University Press, Lund, pp. 65–100.Google Scholar
Kodzi, I. A., Johnson, D. R. & Casterline, J. B. (2012) To have or not to have another child: life cycle, health and cost considerations of Ghanaian women. Social Science & Medicine 74, 966–972.Google Scholar
Krishnamoorty, S., Kulkarni, P. M. & Audinarayana, N. (2005) Causes of fertility transition in Tamil Nadu. In Guilmoto, C. Z. & Rajan, S. I. (eds) Fertility Transition in South India. Sage, New Delhi, pp. 227–247.Google Scholar
Kuzawa, C. W. (2005) Fetal origins of developmental plasticity: are fetal cues reliable predictors of future nutritional environments? American Journal of Human Biology 17, 5–21.Google Scholar
Kuzawa, C. W. (2007) Developmental origins of life history: growth, productivity, and reproduction. American Journal of Human Biology 19, 654–661.Google Scholar
Kuzawa, C. W. & Bragg, J. M. (2012) Plasticity in human life history strategy: implications for contemporary human variation and the evolution of genus Homo. Current Anthropology 53, S369–382.Google Scholar
Kuzawa, C. W. & Quinn, E. A. (2009) Developmental origins of adult function and health: evolutionary hypotheses. Annual Review of Anthropology 38, 131–147.Google Scholar
Lawson, D. W., Alvergne, A. & Gibson, M. A. (2012) The life-history trade-off between fertility and child survival. Proceedings of the Royal Society B: Biological Sciences 279, 4755–4764. doi:10.1098/rspb.2012.1635.Google Scholar
Low, B. S., Hazel, A., Parker, N. & Welch, K. B. (2008) Influences on women's reproductive lives: unexpected ecological underpinnings. Cross-Cultural Research 42, 201–219.Google Scholar
Mace, R. (2008) Reproducing in cities. Science 319, 764–766.Google Scholar
Murthi, M. (2002) Fertility change in Asia and Africa. World Development 30, 1769–1778.Google Scholar
Nettle, D. (2010) Dying young and living fast: variation in life history across English neighborhoods. Behavioral Ecology 21, 387–395.Google Scholar
Nettle, D. (2011) Flexibility in reproductive timing in human females: integrating ultimate and proximate explanations. Philosophical Transactions of the Royal Society (Biological Sciences) 366, 357–365.Google Scholar
Nettle, D., Coall, D. A. & Dickins, T. E. (2011) Early-life influences on age at first pregnancy in British women. Proceedings of the Royal Society B: Biological Sciences 278, 1721–1727.Google Scholar
Nettle, D., Coall, D. A. & Dickins, T. E. (2010) Birthweight and paternal involvement predict early reproduction in British women: evidence from the national child development study. American Journal of Human Biology 22, 172–179.Google Scholar
Nettle, D., Frankenhuis, W. E. & Rickard, I. J. (2013) The evolution of predictive adaptive responses in human life history. Proceedings of the Royal Society Series B: Biological Sciences 7, 1471–2954.Google Scholar
Ong, K. K., Emmett, P., Northstone, K., Golding, J., Rogers, I, Ness, A. R. et al. (2009) Infancy weight gain predicts childhood body fat and age at menarche in girls. Journal of Clinical Endocrinology and Metabolism 94, 1527–1532.Google Scholar
Pesonen, A-K., Räikkönen, K., Heinonen, K., Kajantie, E., Forsén, T. & Eriksson, J. G. (2008) Reproductive traits following a parent–child separation trauma during childhood: a natural experiment during World War II. American Journal of Human Biology 20, 345–351.Google Scholar
Rickard, I. R. & Lummaa, V. (2007) The predictive adaptive response and metabolic syndrome: challenges for the hypothesis. TRENDS in Endocrinology and Metabolism 18, 94–99.Google Scholar
Roy, T. K., Sinha, R. K., Koenig, M., Mohanty, S. K. & Patel, S. K. (2008) Consistency and predictive ability of fertility preference indicators: longitudinal evidence from rural India. International Family Planning Perspectives 34, 138–145.Google Scholar
Säävälä, M. (2001) Fertility and Familial Power Relations. Procreation in South India. Curzon, London.Google Scholar
Shenk, M. K. (2009) Testing three evolutionary models of the demographic transition: patterns of fertility and age at marriage in urban South India. American Journal of Human Biology () 21, 501–511.Google Scholar
Shenk, M. K., Towner, M. C., Kress, H. C. & Alam, N. (2013) A model comparison approach shows stronger support for economic models of fertility decline. PNAS 110, 8045–8050.Google Scholar
Silventoinen, K. (2003) Determinants of variation in adult body height. Journal of Biosocial Science 35, 263–285.Google Scholar
Speizer, I. S., Nanada, P., Achyut, P., Pillai, G. & Guilkey, D. K. (2012) Family planning use among urban poor women from six cities of Uttar Pradesh, India. Journal of Urban Health 89. doi: 10.1007/s11524-011-9667-1.Google Scholar
UNDP (2009) India: Urban Poverty Report 2009. Ministry of Housing and Urban Poverty Alleviation and UNDP, Oxford University Press, New Delhi.Google Scholar
Vishwanathan, B. & Sharma, V. (2009) Socio-economic characteristics of the tall and not so tall women of India. Working Paper 41/2009, Madras School of Economics, Chennai.Google Scholar
Walker, R., Gurven, M., Hill, K., Migliano, A., Chagnon, N., De Souza, R. et al. (2006) Growth rates and life histories in twenty-two small-scale societies. American Journal of Human Biology 18, 295–311.Google Scholar
Wells, J. C. K. (2007) Flaws in the theory of predictive adaptive responses. Trends in Endocrinology and Metabolism 18, 331–337.CrossRefGoogle ScholarPubMed
Wilson, M. & Daly, M. (1997) Life expectancy, economic inequality, homicide, and reproductive timing in Chicago neighbourhoods. British Medical Journal 314, 1271–1274.Google Scholar
Wronka, I. (2013) Body height and socioeconomic status of females at different life stages. Journal of Biosocial Science 45, 471–480.Google Scholar