Dita Maria Virginia, Fenty Fenty


Anemia has been detected on various age groups. Measurement of hemoglobin (Hb) levels is a standard for deciding anemia conditions. The measurement requires certain costs, medical professional, and is invasive. People in rural areas need an economical, easy and simple examination to identify the risk of anemia. Anthropometric measurement is expected to be an appropriate measurement model for rural communities. The objective of the study is to obtain the best anthropometric measurement predictors for detecting anemia in rural communities. This was an observational study using a cross-sectional design. The inclusion criteria of the subjects of the study were residents of Cangkringan, who were between 40 and 60 years old. The subjects were chosen using random sampling cluster technique. The sample size was 100 respondents and was taken based on cluster. Descriptive analysis was used to determine the prevalence of anemia. Analysis the difference in proportion was conducted using Mann-Whitney. Correlation analysis was performed to determine the relationship between Hb levels and anthropometric measurements by using Spearman. The results showed that only 5% of the subjects are in the status of anemia based on their Hb levels. There is a significant difference between Hb levels in the normal and obese groups based on the waist hip circumference ratios (WHR) (p = 0.002). The waist circumference has a weak correlation (r = 0.238, p = 0.017) and WR has a moderate correlation (r = 0.483, p = 0.000) with Hb levels. The results of this study are not appropriate in which central obese patients should be more at risk of anemia. This study concludes that there is a significant positive moderate correlation between anthropometry, which is the waist circumference parameters and WHR, to the Hb levels in rural communities.


hemoglobin levels; anthropometry; rural areas

Full Text:



Aigner, E., Feldman, A., Datz, C., 2014. Obesity as an Emerging Risk Factor for Iron Deficiency. Nutrients, 6(9), 3587-3600.

Alvarez-Uria G., Naik PK, Midde M, Yalla PS, dan Pakam R., 2014. Prevalence and Severity of Anemia Stratified by Age and Gender in Rural Area. Anemia,

Ausk K.J., Ioannou G., N., 2008. Is Obesity Associated With Anemia of Chronic Disease? A Population-based Study. Obesity, 16, 2356-2361.

Bagni, U. V., Luiz, R. R., Veiga, G. V., 2013. Overweight is associated with low hemoglobin levels in adolescent girls. Obesity Research & Clinical Practice, 7(3), 218-229.

Bailey, J.M., 2009. The Top 10 Rural Issues for Health Care Reform. CHFA (online), accessed 15 April 2014.

Baliga, S.S., Naik, V.A., Mallapur, D.M., 2014. Nutritional status of adolescent girls residing in rural area: A community-based cross-sectional study. Journal of the Scientific Society, 41(1), 22-25.

Bhowmik, B., Munir, S.B., Diep, L.M., Siddiquee, T., Habib, S.H., Samad, M.A., Hussain, A., 2013. Antropometric Indicators of Obesity for Identifying Cardiometabolic Risk Faktors in A Rural Bangladeshi Population. Journal of Diabetes Investigation, 4(4), 361-368.

Briawan, D., Hardinsyah, H., 2010. Faktor risiko non makanan terhadap kejadian anemia pada

perempuan subur (15-45 tahun) di Indonesia. Jurnal Penelitian Gizi dan Makanan, 33(2), 22-28.

Chang, J., Chen, Y., Owaga, E., Palupi, K.C., Pan, W., Bai, C., 2014. Interactive effects of dietary fat/carbohydrate ratio and body mass index on iron deficiency anemia among Taiwanese women. Nutrients, 6, 3929-3941.

Gartner, A., Ati, J.E., Traissac, P., Bour, A., Berger, J., Landais, E., El Hsaïni, H., Ben Rayana, C., Delpeuch, F., 2013. A Doubel Burden of Overall or Central Odiposity and Anemia or Iron Deficiency Is Prevalent but with Little Socioeconomic Patterning among Moroccan and Tunisian Urban Women. The Journal of Nutrition, doi: 10.3945/jn.113.178285.

Hausman, D.B., Johnson, M.A., Davey, A., Poon, L.W., 2011. Body Mass Index is associated with dietary patterns and health conditions in Georgia Centenarians. Journal of Aging Research, doi:10.4061/2011/138015.

Hemamalini J., 2013. Anemia in Relation to Body Mass Index and Waist Circumference among Adhra Pradesh Women. Obes Weight Loss Ther., 3(3), 173-189.

Kementerian Kesehatan, 2013. Riset Kesehatan Dasar 2013.

Mohamed S., Alhessain, A., 2012. Anemia and Body Composition. International Journal of Science and Research, 3(5), 935-941.

Qin, Y., Melse-Boonstra A., Pan, X., Yuan, B., Dai, Y., Zhao, J., Zimmermann, M.B., Kok, F.J., Zhou, M., Shi, Z., 2013. Anemia in relation to body mass index and waist circumference among Chinese women. Nutrition Journal, 12(10), 1-3.

Saxena, Y., Shrivastava, A., Saxena, V., 2011. Effect of gender on correlation of anemia with body mass index in medical students. Indian J Physiol Pharmacol., 55(4), 364-369.

Sinha, N.K., Haldar, J.P., 2015. Correlation between Hemoglobin Level and Anthropometric Variables: A Study on Women of Reproductive Age Group, West Bengal. Anthropologist, 19(1), 185-192.

Ugwuja, I.U., Ogbonnaya, L.U., Obuna, A.J., Awelegbe, F., Uro-Chukwu, H., 2015. Anaemia in Relation to Body Mass Index (BMI) and Socio-Demographic Characteristics in Adult Nigerians in Ebonyi State. Journal of Clinical and Diagnostic Research, 9(1), 4-7.

Windsor, J.S., Rodway, G.W., 2007. Heights and hematology: the story of hemoglobin at altitude, Postgrad Med J., 83(977), 148-151.

World Health Organization, 2008. Global anemia prevalence and number of individuals affected. WHO (Online). accessed 15 April 2015.

World Health Organization, 2008. WHO Country Cooperation Strategy 2007-2011. WHO (Online) accessed 15 April 2015.

Zhai, Y., Yin, Z.X., Xu, J.W., Zeng, Y., Liu, Y.Z., Shi, S.M., 2010. Anemia status and its relevant factors among elderly people aged above 80 years old in longevity areas in China. Zhonghua Yu Fang Yi Xue Za Zhi, 44(2), 115-118.

Zimmermann, M.B., Zeder C., Muthayya S., Winichagoon P., Chaouki N., Aeberli I., Hurrell R.F., 2008. Adiposity in women and children from transition countries predicts decreased iron absorption, iron deficiency and a reduced response to iron fortification. Int. J. Obes., 32, 1098–1104.



  • There are currently no refbacks.

Copyright (c) 2017 Journal of Pharmaceutical Sciences and Community










Jurnal Farmasi Sains dan Komunitas (Journal of Pharmaceutical Sciences and Community)

Published by Faculty of Pharmacy, Universitas Sanata Dharma Yogyakarta

Creative Commons Licence
This work is licensed under a Creative Commons Attribution 4.0 International License.

Web Analytics JPSC Stats