An analysis of birth weight was undertaken on secondary data derived from the Malaysian Family Life Survey II. A total of 1629 last singleton live birth infants was analysed with the aim of identifying from the variables available potential risk factors for low birth weight. Univariate and subsequently multivariate analyses were carried out for this purpose. The incidence of low birth weight was 11.8 percent. Race, parity and prematurity were found to be significantly associated with low birth weight after controlling of the other variables. The findings indicate that more work needs to be done to establish the underlying reasons for low birth weight in Malaysia.
1. World Health Organisation.The incidence of low birth weight: a critical review of available information. World Health Statistics Quarterly1980; 33: 197–224.
2.
2. World Health Organisation. Low birth weights-a tabulation of available information: Geneva 1992.
3.
3. Hashim MT, Nik NI, Gebbie DAM. Low birth weight in Kuala Lumpur. Asia Oceania J Obstet Gynaecol1991; 17(2): 135–42.
4.
4. Boo NY. Outcome of very low birth weight neonates in a developing country: experience from a large Malaysian maternity hospital. Singapore Med J1992; 33: 33–7.
5.
5. DaVanzo J, Habicht J-P, Butz WP. Assessing socioeconomic correlates of birthweight in Peninsular Malaysia: Ethnic differences and changes over time. Soc Se Med1984; 18(5): 387–404.
6.
6. DaVanzo J, Haaga J, Tey NP, et al. The Second Malaysian Family Life Survey: Survey Instruments. Santa Monica, California. 1993 RAND, MR-107-NICHD/NIA.
7.
7. DaVanzo J, Haaga J, Tey NP, et al. The Second Malaysian Family Life Survey: Questionnaires. Santa Monica, California. 1993 RAND, MR-107/1-NICHD/NIA.
8.
8. Haaga J, DaVanzo J, Petersen CE, et al. The Second Malaysian Family Life Survey: Overview and Technical Report, Santa Monica, California. 1993 RAND, MR-106-NICHD/NIA.
9.
9. Kramer MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bulletin of the WHO1987; 65(5): 663–737.
10.
10. Michielutte R, Moore ML, Meis PJ, et al. Race differences in infant mortality from endogenous causes: a population-based study in North Carolina. J Clin Epidemiol1994; 47(2): 119–30.
11.
11. Mamelle, Laumon.Occupational fatigue and preterm birth in Chamberlain G. Pregnant women at work. The Royal Society of Medicine and the Macmillan Press Ltd., 1984.
12.
12. Department of Statistics, Malaysia. Yearbook of Statistics 1988 Malaysia. 1989
13.
13. Department of Statistics, Malaysia. Vital Statistics Peninsular Malaysia 1988. 1989.
14.
14. Rampal L, Oothuman P, Nagaraj S. A study on the health care delivery system in plantations in Peninsular Malaysia. Malaysian Med Association1988.
15.
15. Katz SJ, Armstrong RW, LoGerfo JP. The adequacy of prenatal care and incidence of low birth weight among the poor in Washington State and British Columbia. Am J Public Health. June 1994; 84(6): 986–91.
16.
16. Kramer MS. Effects of energy and protein intakes on pregnancy outcome: an overview of the research evidence from controlled clinical trials. Am J Clinical Nutrition1993; 58: 627–35.
17.
17. Cnattingius S, Forman MR, Berendes HW, et al. Effect of age, parity and smoking on pregnancy outcome: a population-based study. Am J Obstet Gynaecol1993; 168: 16–21.
18.
18. Brunner J, Melander E, Krook-Brandt M, et al. Grand multiparity as an obstetric risk factor; a prospective case-control study. Eur J Obstet Gynaecol Reprod Biol1992; 47(3): 201–5.
