e-ISSN 2598-3849       print ISSN 2527-8878

Vol 6, No 2 (2021)

The Health Status of Labor Force in East Kalimantan Province: Effect of Individual Characteristics and Household Conditions

Jaka Eben Heizer, Budiono Budiono, Ferry Hadiyanto, Pipit Pitriyan, Adiatma Yudistira Manogar Siregar


The aims of this research are first, to explore the factors that are associated with health status. Second, to address the individual characteristics and household conditions that affect the health status of labor force, taking into account the urban-rural differences. This research utilized data from SUSENAS Cor 2018, and employed a cross sectional - multinomial logistic regression analysis method. The dependent variable is the health conditions of the labor force. The findings show that, age and number of household members were significant for both sick and very sick health status in all two type of areas analyzed. In urban and rural areas simultaneously gender, expenditure per capita, and drinking water were only significant for sick health group while marital status, education, employment status, sanitation, house area was only significant for very sick health status group. In urban areas, the results indicated that gender, employment status, and drinking water were only significant for sick health status, while marital status, education, sanitation, and house area significant for very sick health status. Moreover, in rural areas, marital status was only significant for sick health status whereas, sanitation and house area were significant for the very sick health status. 


Health Status, Determinants, Socioeconomic, Labor force, Individual Characteristics, Household Conditions, East Kalimantan Province


Agresti, A. 1996. An Introduction to Categorical Data Analysis. New york, John Wiley & Sons.

Alonso, J., Prieto, L., Ferrer, M., Vilagut, G., Broquetas, J. M., Roca, J. et al. 1998. Testing the Measurement Properties of the Spanish Version of the SF-36 Health Survey Among Male Patients with Chronic Obstructive Pulmonary Disease. J Clin Epidemiol. 51(11): 1087–1094. https://doi:10.1016/s0895-4356(98)00100-0.

Beckett, M., Elliot M. N. 2002. Does the Association Between Marital Status and Health Vary by Sex, Race, and Ethnicity?. Santa Monica, CA: RAND Corporation.

BPS-Statistics Indonesia. 2016. Statistik Kesejahteraan Rakyat 2016. Jakarta: Badan Pusat Statistik.

BPS-Statistics Indonesia. 2017. Statistik Kesejahteraan Rakyat 2017. Jakarta: Badan Pusat Statisik.

BPS-Statistics Indonesia. 2018. Indikator Perumahan dan Kesehatan Lingkungan. Jakarta: Badan Pusat Statistik.

BPS-Statistics Indonesia. 2018. Produk Domestik Regional Bruto Provinsi-Provinsi di Indonesia Menurut Lapangan Usaha, 2014 - 2018., Jakarta: BPS RI.

BPS-Statistics Indonesia. 2018. Statistik Kesejahteraan Rakyat 2018. Jakarta: Badan Pusat Statistik.

BPS-Statistics Indonesia. 2019. Tingkat Kemiskinan di Kalimantan Timur September 2018. Samarinda: Badan Pusat Statistik.

Budiarti, W. 2004. Analisis Karakteristik Demografi, Sosial, dan Ekonomi Penduduk Miskin di DKI Jakarta Tahun 2002. Jakarta: STIS.

Cai, J., Coyte, P. C., Zhao, H. 2017. Determinants of and socio-economic disparities in self-rated health in China. International Journal for Equity in Health. 16 (7): 1-27. https://doi.org/10.1186/s12939-016-0496-4

Cai, L., Guyonne, K. 2006. Health status and labour force participation: Evidence from Australia. Health Economics. 15 (3). 241-261. https://doi: 10.1002/hec.1053.

Canadian Institute for Health Information. 2005. Determinants of Health. Ottawa: Canadian Institute for Health Information.

Chandola, T., Clarke, P., Morris J. N., Blane, D. 2006. Pathways between education and health: a causal modelling approach. Journal of the Royal Statistical Society: Series A (Statistics in Society). 169 (2): 337–359. https://doi.org/10.1111/j.1467-985X.2006.00411.x

Chung, W., Kim, R. 2015. Are Married Men Healthier than Single Women? A Gender Comparison of the Health Effects of Marriage and Marital Satisfaction in East Asia. PLoS ONE 10(7): e0134260. https://doi:10.1371/journal.pone.0134260

Dimitris, Z et al. 2013. Impact of economic crisis and other demographic and socio-economic factors on self-rated health in Greece. European Journal of Public Health. 23(2). Pages 206–210. https://doi.org/10.1093/eurpub/cks143

Dominick, S. R., Widmar, N. J. O., Ruple, A. et al. 2018. The intersection of food insecure populations in the Midwest U.S. and rates of chronic health conditions. Agric & Food Secur. 43(7). https://doi.org/10.1186/s40066-018-0195-z

Honjo, K., Kawakami, N., Takeshima, T., Tachimori, H., Ono, Y., Uda, H. et al. 2006. Social Class Inequalities in Self-Rated Health and Their Gender and Age Group Differences in Japan. Journal of Epidemiology. 16(6): 223-231. https://doi: 10.2188/jea.16.223.

Hosmer, D. W., Lemeshow, S. 2000. Applied Logistic Regression. Canada: John Wiley & Sons.

Huffman, W., Huffman, S., Rickertsen, K., Tegene, A. 2010. Over-Nutrition and Changing Health Status in High Income Countries. Forum for Health Economics & Policy. 13 (1). https://doi.org/10.2202/1558-9544.1181

Kelly, S. 2017. Fitting a Cumulative Logistic Regression Model. Proceedings of the SAS Global Forum 2017 Conference. Paper 1108-2017. Cary, NC: SAS Institute, Inc.

Kementerian Pekerjaan Umum dan Perumahan Rakyat. 2018. Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat Tentang Standar Teknis Standar Pelayanan Minimal Pekerjaan umum dan Perumahan Rakyat. s.l.:s.n.

King, J. 2003. Economic determinants of Health. Final report for the Public Health Advisory Committee (August). Public Health Advisory Committee Website. Accessed, 8(12), p.04.

Lam, N. T. et al. 2020. Secondhand Tobacco Smoke Exposure in Indoor Workplaces in Viet Nam and Associated Factors: Findings from Two Rounds of Global Adult Tobacco Surveys (GATS) 2010 and 2015. Asian Pacific Journal of Cancer Prevention. 21(S1): 33-38. https://doi: 10.31557/APJCP.2020.21.S1.33

Liu, Y. B., Liu, L., Li, Y. F., Chen, Y. L. (2015). Relationship between Health Literacy, Health-Related Behaviors and Health Status: A Survey of Elderly Chinese. International journal of environmental research and public health, 12(8): 9714–9725. https://doi.org/10.3390/ijerph120809714

Mara, D., Lane, J., Scott, B., Trouba, D. 2010. Sanitation and health. PLoS medicine 7(11): e1000363. https://doi.org/10.1371/journal.pmed.1000363

Nasution, P. 1997. Beberapa Faktor yang Berhubungan dengan Kualitas Kesehatan Lingkungan Pemukiman (Studi Kasus di Kecamatan Kedaton Kotamadya Bandar Lampung). Jakarta: Universitas Indonesia.

Pearlin, L. I. 1989. The Sociology Study of Stress. Journal of Health and Social Behavior. 30(3): 241-56. https://doi.org/10.2307/2136956.

Population Reference Bureau. 2017. The Demographic Dividend in Africa Relies on Investments in the Reproductive Health and Rights of Adolescents and Youth. Washington, DC: Population Reference Bureau. Available at: https://www.prb.org/wp-content/uploads/2017/02/AU20Brief.pdf

Santow, G. 1995. Social roles and physical health: The case of female disadvantage in poor countries. Social Science & Medicine. 40(2): 147-161. https://doi:10.1016/0277-9536(94)e0069-5.

Sari, N. A. 2016. Analisis pola konsumsi pangan daerah perkotaan dan pedesaan serta keterkaitannya dengan karakteristik sosial ekonomi di Provinsi Kalimantan Timur. Jurnal Ekonomi & Manajemen Indonesia. 16(2).

Sima, L. C., Desai, M. M., McCarty, K. M., Elimelech, M. 2012. Relationship between Use of Water from Community-Scale Water Treatment Refill Kiosks and Childhood Diarrhea in Jakarta. The American Society of Tropical Medicine and Hygiene. 87(6): 979 - 984. https://doi:10.4269/ajtmh.2012.12-0224.

Smith, D. G. et al. 1998. Education and occupational social class: which is the more important indicator of mortality risk?. J. Epidem. Commty Hlth. 52(3):153-160. https://doi:10.1136/jech.52.3.153.

Solar, O., Irwin, A. 2010. A conceptual framework for action on the social determinants of health. WHO Document Production Services. Available at: https://apps.who.int/iris/handle/10665/44489.

Steptoe, A., Fancourt, D. 2020. An outcome-wide analysis of bidirectional associations between changes in meaningfulness of life and health, emotional, behavioural, and social factors. Sci Rep 10, 6463. https://doi.org/10.1038/s41598-020-63600-9.

Todaro, M. P., Smith, S. C. 2015. Human Capital: Education and Health in Economic Development-in Economic Development. 12 ed. Boston: Pearson.

Turagabeci, A. R., Nakamura, K., Kizuki, M. et al. 2007. Family structure and health, how companionship acts as a buffer against ill health. Health and quality of life outcomes. 5, p. 61. https://doi.org/10.1186/1477-7525-5-61.

Verropoulou, G. 2009. Key elements composing self-rated health in older adults: A comparative study of 11 European countries. European Journal of Ageing. 6: 213-226. https://doi:10.1007/s10433-009-0125-9.

Wang, H., Sindelar, J. L., Busch, S. H. 2006. The impact of tobacco expenditure on household consumption patterns in rural China. Social Science & Medicine. 62(6): 1414-1426. https://doi: 10.1016/j.socscimed.2005.07.032.

Waters, A. M. 2001. Do housing conditions impact on health inequalities between Australia's rich and poor? Melbourne: Australian Housing and Urban Research Institute Limited. AHURI Final Report No. 4. Available at: https://www.ahuri.edu.au/research/final-reports/4.

Wu, B., Yue, Y., Mao, Z. 2015. Self-reported functional and general health status among older respondents in China: the impact of age, gender, and place of residence. Asia Pac J Public Health. 27(2): NP2220–NP2231. https://doi: 10.1177/1010539511428350.

Xu, K., Evans, D. B., Kawabata, K., Zeramdini, R., Klavus, J., Murray, C. J. 2003. Household catastrophic health expenditure: a multicountry analysis. The Lancet. 362(9378): 111-117. https://doi: 10.1016/S0140-6736(03)13861-5.

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DOI: 10.7454/eki.v6i2.4658


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