Full Paper View Go Back

Factors Associated with use of Modern Contraceptives in EAG States of India: A Hierarchical Model Technique

Abhishek Singh Chauhan1 , Gyan Prakash Singh2

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.7 , pp.61-73, Jul-2022


Online published on Jul 31, 2022


Copyright © Abhishek Singh Chauhan, Gyan Prakash Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library


XML View     PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Abhishek Singh Chauhan, Gyan Prakash Singh, “Factors Associated with use of Modern Contraceptives in EAG States of India: A Hierarchical Model Technique,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.8, Issue.7, pp.61-73, 2022.

MLA Style Citation: Abhishek Singh Chauhan, Gyan Prakash Singh "Factors Associated with use of Modern Contraceptives in EAG States of India: A Hierarchical Model Technique." International Journal of Scientific Research in Multidisciplinary Studies 8.7 (2022): 61-73.

APA Style Citation: Abhishek Singh Chauhan, Gyan Prakash Singh, (2022). Factors Associated with use of Modern Contraceptives in EAG States of India: A Hierarchical Model Technique. International Journal of Scientific Research in Multidisciplinary Studies , 8(7), 61-73.

BibTex Style Citation:
@article{Chauhan_2022,
author = {Abhishek Singh Chauhan, Gyan Prakash Singh},
title = {Factors Associated with use of Modern Contraceptives in EAG States of India: A Hierarchical Model Technique},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {7 2022},
volume = {8},
Issue = {7},
month = {7},
year = {2022},
issn = {2347-2693},
pages = {61-73},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2882},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2882
TI - Factors Associated with use of Modern Contraceptives in EAG States of India: A Hierarchical Model Technique
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Abhishek Singh Chauhan, Gyan Prakash Singh
PY - 2022
DA - 2022/07/31
PB - IJCSE, Indore, INDIA
SP - 61-73
IS - 7
VL - 8
SN - 2347-2693
ER -

254 Views    168 Downloads    56 Downloads
  
  

Abstract :
The main aim of the present study is to find the significant predictors associated with modern contraceptive use in EAG states of India through the Hierarchical model. For this, we develop a model which includes the hierarchical effect present in the data. First, we calculated Intraclass Correlation (ICC), which shows the amount of variation in modern contraceptive use is explained by the district level. Second, this district-level variation was included in the model to obtain precise results. The data used for the study was obtained from National Family Health Survey round four (NFHS-4). The NFHS-4 surveyed a total sample of 699,686 women aged 15-49 years. The survey used a stratified two-stage sampling technique. The selection of PSUs (Primary sample Units) for village areas and Census enumeration blocks (CEBs) in urban areas were selected from the census 2011. The results showed that the odds of using modern contraceptive use were high among families with a high wealth index and the same results were found for all EAG states. The study also reveals that exposure to media, knowledge score of women, and place of residence were significant predictors of modern contraceptive use in EAG states. Akaike Information Criterion was used to compare a simple logistic regression model in which no district level variation was included to model modern contraceptive use and a Hierarchical model which includes district level variation to model modern contraceptive use. As a result, the Hierarchical model was found to be the best fit as compared to a simple logistic regression model.

Key-Words / Index Term :
Hierarchical Model, Modern Contraceptive use, Socio-economic and demographic predictors of modern contraceptives

References :
[1] Oye-Adeniran, B.A., et al.,” Community-based study of contraceptive behaviour in Nigeria”, African Journal of Reproductive Health, Vol.10, Issue.2, p. 90-104, 2006.
[2] Bongaarts, J., W.P. Mauldin, and J.F. Phillips, “The demographic impact of family planning programs”, Studies in family planning, Vol.21, Issue. 6, p. 299-310, 1990.
[3] Kannaujiya, A.K., et al.,” Short interpregnancy interval and low birth weight births in India: Evidence from National Family Health Survey 2015-16”, SSM-Population Health, Vol.12, p. 100700, 2020
[4] Abang Ali, D.H.b. and R. Arabsheibani, “Gender preference and child labor in Indonesia”, The Family Journal, Vol.28, Issue.4, p. 371-378, 2020.
[5] Nonvignon, J. and J. Novignon, “Trend and determinants of contraceptive use among women of reproductive age in Ghana”, African Population Studies, Vol.28, Isuue.2, p. 956-967, 2014
[6] Ogbe, C.A.O.A.O. and C.R. Okezie,” Socio-economic determinants of contraceptive use among rural women in Ikwuano Local Government Area of Abia State, Nigeria”, International NGO Journal, Vol.5, Issue.4, p. 74-77, 2010.
[7] Thyagarajan, S., B. Reji, and S.P.Viswan, “Determinants of contraceptive usage in India”, Int J Interdiscip Multidiscip Stud, Vol.1, p. 88-97, 2014
[8] Gupta, R.K., et al., “Contraceptive use: Its prevalence, awareness, practices and determinants in a rural population of Northern India”, Int J Med Sci Public Health, Vol.6, Issue.10, p. 1543-1548, 2017
[9] Ram, F., C. Shekhar, and B. Chowdhury,” Use of traditional contraceptive methods in India & its socio-demographic determinants”, The Indian journal of medical research, Vol.140, p. S17, 2014
[10] Liu, D.H. and A.E. Raftery, “How do education and family planning accelerate fertility decline? “,Population and Development Review, Vol.46, Issue.3, p. 409-441, 2020
[11] Das, P., et al.,” Association between media exposure and family planning in Myanmar and Philippines: evidence from nationally representative survey data”, Contraception and reproductive medicine, Vol.6, Issue.1, p. 1-12, 2021.
[12] Longford, N.T.,” A fast scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effects”, Biometrika, Vol.75, Issue.4, p. 817-827, 1987.
[13] Raudenbush, S. and A.S. Bryk, “A hierarchical model for studying school effects. Sociology of education”, Vol.59, p. 1-17, 1986
[14] Goldstein, H., “Multilevel mixed linear model analysis using iterative generalized least squares”, Biometrika, Vol.73, Issue.1, p. 43-56, 1986
[15] Mason, W.M., G.Y. Wong, and B. Entwisle, “Contextual analysis through the multilevel linear model”, Sociological methodology, Vol.14, p. 72-103, 1983.
[16] Pebley, A.R. and N. Goldman, “Family, community, ethnic identity and the use of formal health care services in Guatemala”, Princeton University, Office of Population Research,1992.
[17] Khan, H.T.A., A hierarchical model of contraceptive use in urban and rural Bangladesh. Contraception, Vol.55, Issue.2, p. 91-96, 1987.Donner, A. and N. Klar, “Design and analysis of cluster randomization trials in health research”, Chronic Diseases in Canada, p.32-44, 2001.
[18] Donner, A. and N. Klar, “Design and analysis of cluster randomization trials in health research”, Chronic Diseases in Canada, p.32-44, 2001.
[19] Julian, M.W., “The consequences of ignoring multilevel data structures in nonhierarchical covariance modeling”, Structural equation modeling, Vol.8, Issue.3, p. 325-352, 2001.
[20] Moerbeek, M., “The consequence of ignoring a level of nesting in multilevel analysis”, Multivariate behavioral research, Vol.39, Issue.1, p. 129-149, 2004.
[21] Murray, D.M., “Design and analysis of group-randomized trials”, Oxford University Press, pp.131-176. , 1998.
[22] Cook, T.D., D.T. Campbell, and W. Shadish, “Experimental and quasi-experimental designs for generalized causal inference”, Houghton Mifflin Boston,2002.
[23] Goldstein, H.,” Multilevel modelling of survey data. Journal of the Royal Statistical Society”, Series D (The Statistician), Vol.40, p. 235-244, 1991.
[24] Goldstein, H., “Multilevel statistical models”, John Wiley & Sons, pp.2-16, 2011
[25] Snijders, T.A.B. and R.J. Bosker,”Multilevel analysis: An introduction to basic and advanced multilevel modeling”, sage, 2011
[26] Ahmed, S., et al., “Maternal deaths averted by contraceptive use: an analysis of 172 countries”, The Lancet, Vol.380, p. 111-125, 2012.
[27] Conde-Agudelo, A., A. Rosas-Bermúdez, and A.C. Kafury-Goeta, “Birth spacing and risk of adverse perinatal outcomes: a meta-analysis”, JAMA, Vol. 295, p. 1809-1823, 2006.
[28] Hanley, G.E., et al., “Interpregnancy interval and adverse pregnancy outcomes. Obstetrics & Gynecology”, Vol.129, p. 408-415, 2017.
[29] Mahadevan, K., “Population Dynamics in the India States”,Mittal publications, 1989.
[30] Bhat, P.N.M., “Contours of fertility decline in India: A district-level study based on the 1991 census”, 1995.
[31] Cavallaro, F.L., et al.,” Examining trends in family planning among harder-to-reach women in Senegal 1992–2014”, Scientific reports, Vol.7, p. 1-11, 2017.
[32] Ahinkorah, B.O., “Predictors of unmet need for contraception among adolescent girls and young women in selected high fertility countries in sub-Saharan Africa: a multilevel mixed effects analysis”, PloS one, Vol.15,p.e0236352, 2020.

Authorization Required

 

You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at  support@isroset.org or view contact page for more details.

Go to Navigation