Abstract
Usia remaja merupakan salah satu kelompok umur rentan terhadap masalah gizi sebagai akibat riwayat lahir dan status gizi buruk sebelumnya yang konsekuensinya buruk dalam daur hidup berikutnya. Penelitian ini menggunakan data Indonesia Family Life Survey (IFLS) dengan desain studi longitudinal, bertujuan memperoleh model prediksi IMT remaja berdasarkan riwayat lahir dan status gizi anak. Sampel berjumlah 837 balita dipilih secara multistage random sampling. Riwayat lahir diukur dari berat lahir dan umur kehamilan. Pengukuran status gizi dilakukan mulai balita sampai remaja (15 - 19 tahun). Analisis menggunakan regresi logistik multinomial. Rata-rata berat lahir bayi perempuan 147 gram lebih rendah dibandingkan bayi laki-laki. Terdapat 7,4% berat bayi lahir rendah, dengan prevalensi tertinggi pada perempuan (9,3%). Terdapat masalah gizi ganda pada balita yaitu 47% stunting, 29,7% underweight, 10% wasting, dan 13,9% gemuk/obesitas. Sebesar 51,7% balita mengalami gangguan pertumbuhan dengan stunting sebagai kontribusi terbesar. Risiko remaja gemuk/obesitas diprediksi dari kelahiran prematur, stunting usia 8 - 12 tahun, dan gemuk/obesitas usia 8 - 12 tahun. Risiko remaja kurus diprediksi dari IMT kurus saat berusia 5 - 9 tahun dan usia 8 - 12 tahun. Perlu intervensi yang diprioritaskan pada remaja perempuan untuk mencegah kelahiran prematur dan fetal programming, serta evaluasi program Pemberian Makan Tambahan (PMT) pada balita yang lebih memfokuskan pada penambahan berat badan tanpa mempertimbangkan tinggi badan. Adolescents is one of the age groups vulnerable to nutritional problems as a result of poor birth history and nutritional status, and then have bad consequences the next life cycle. Research using data Indonesia Family Life Survey (IFLS) with longitudinal study designs to predict adolescent body mass index based on the history of birth and child nutritional status. Sample consisted of 837 children selected by multistage random sampling. History of birth measured from birth weight and gestational age. Measurement of nutritional status was conducted from under five years children to adolescence (15 - 19 years). Analysis using multinomial logistic regression. Average birth weight women 147 grams lower than men. There is a 7.4% LBW, with the highest prevalence in women (9.3%). There are multiple nutritional problems are 47 % stunting, 29.7% underweight, 10% wasting, and 13.9% overweight/ obesity. 51.7% of children under five years of growth faltering, stunting as the highest contribution. The risk of overweight/ obesity adolescent can be predicted from the premature birth, stunted aged 8 - 12 years, and overweight/ obese aged 8 - 12 years. Risk of underweight adolescents predicted from underweight aged 5 - 9 years and 8 - 12 years. It should be prioritized intervention in young women to prevent preterm birth, as well as the evaluation of the supplementary feeding programs are more focused on weight gain without considering the height.
References
1. World Health Organization. Physical Status: the use and interpretation of anthropometry. Technical Report Series. No. 854. Geneva: WHO; 1995. 2. World Health Organization. Health situation in the South-East ASIA Region 2001-2007. Geneva: World Health Organization; 2008. 3. Pietilainen KH, Kaprio J, Rasanen M, Winter T, Rissanen A, Rose RJ. Tracking of body size from birth to late adolescence: contributions of birth length, birth weight, duration of gestation, parent’s body size, and twinship. American Journal of Epidemiology. 2001; 154(1): 21-9. 4. Niclasen BVL, Petzold MG, Schnohr C. Overweight and obesity at school entry as predictor of overweight in adolescence in an arctic child population. European Journal of Public Health. 2006; 17(1): 17-20. 5. World Health Organization. Neonatal and perinatal mortality, country, regional and global estimates. Geneva: World Health Organization; 2006. 6. Kementerian Kesehatan Republik Indonesia. Riset Kesehatan Dasar 2010. Jakarta: Kementerian Kesehatan Republik Indonesia; 2011. 7. Klaus, Fanaroff. Penatalaksanaan neonatus risiko tinggi. Edisi ke-4. Jakarta: EGC; 1998. 8. Barker DJP. Mothers, Babies, and Disease in Later Life. London: BMJ Publishing Group; 1994. 9. World Health Organization. WHO database on child growth and malnutrition. Geneva: World Health Organization; 1997. 10. Jahari AB, Sandjaja, Sudiman H, Soekirman, Jus’at I, Jalal F, dkk. Status gizi balita di Indonesia sebelum dan selama krisis (analisis data antropometri SUSENAS 1989-1999). Widia Karya Nasional Pangan dan Gizi. 2000; 7: 93-124. 11. Bose K, Mandal GC. Proposed new anthropometric idices of childhood undernutrition. Malaysian Journal of Nutrition. 2010; 16(1): 131-6. 12. Supariasa IDN, Bacri B, Fajar I. Penilaian status gizi. Jakarta: EGC. 2002. 13. Podja J, Kelley L. Long - term consequences of low birth weight: the fetal origenes of disase hyphotesis. Low birthweight. Nutrition Policy Paper. En: ACC/SCN. Geneva, Switzerland: WHO; 2000. 14. Parsons TJ, Power C, Manor O. Fetal and early life growth and body mass index from birth to early adulthood in 1958 British cohort: longitudinal study. British Medical Journal. 2001; 323(8): 1331-5. 15. Wibowo, A. Kejadian bayi berat lahir rendah (BBLR) di Kecamatan Ciawi Kabupaten Bogor 1990-1991. Majalah Kesehatan Masyarakat Indonesia.1995; 23(4). 16. Brown JE. Nutrition trough the life cycle. 2nd. Bolmont, USA: Wadsworth/Thomson Learning; 2005. 17. Goldani MZ, Haeffner LSB, Agranonik M, Barbieri MA, Bettiol H, Silva AAM. Do early life factors influence body mass index in adolescent? Brazilian Journal of Medical and Biological Research. 2007; 40: 1231- 6. 18. Fall CH, Osmond C, Barker DJ, Clark PM, Hales CN, Stirting Y, et al. Fetal and infant growth and cardiovascular risk factors in women. British Medical Journal. 1995; 310: 428 –32. 19. Hull D, Johnston DI. Esensial paediatrics. 3th Ed. London: Churchill Livingstone; 2008. 20. Heimburger DC. Training and certifying physician-nutrition specialists. American Journal of Clinical Nutrition. 2006; 83(suppl): 985s-7s. 21. Krummel, Debra A, Penny M, Etherton K. Nutrition in woman’s health. Gaithersbur, Md: Aspen Publisher, Inc; 1996. 22. Duran P, Caballero, Onis M. The association between stunting and overweight in Latin American and Caribbean preschool children. Food and Nutrition Bulletin. 2006; 27 (4): 300-5. 23. Popkin BM, Richards MK, Mohtiero CA. Stunting is associated with overweight in children of four nations that are undergoing the nutrition transition. The Journal of Nutrition. 1996: 126(12): 3009-16. 24. Chakraborty P, Anderson AK, Predictors of overweight in children under 5 years of age in india. Current Research Journal of Social Sciences. 2010; 2(3): 138-46. 25. David J. Wellness concept and application, 3rd ed. United Stated of America: Hoffman Press; 2000.
Recommended Citation
Simbolon D .
Model Prediksi Indeks Massa Tubuh Remaja Berdasarkan Riwayat Lahir dan Status Gizi Anak.
Kesmas.
2013;
8(1):
19-27
DOI: 10.21109/kesmas.v8i1.337
Available at:
https://scholarhub.ui.ac.id/kesmas/vol8/iss1/4