May 4, 2017 - Applied Demography and Public Health in the 21st Century. Volume 8 of the ... variables obtained data from Rajshahi Diabetes Association , Bangladesh by multiple .... reproductive technologyâA systematic review. Human ... Bangladesh: Institute of Population Research and Training (NIPORT). Mitra, S.
4/5/2017
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Springer
Chapter Applied Demography and Public Health in the 21st Century Volume 8 of the series Applied Demography Series pp 349360 Date: 20 October 2016
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Md. Obaidur Rahman , Md. Rafiqul Islam , Clyde McNeil , M. Korban Ali
Abstract Support
The purpose of this study is to assess fertility levels by selected sociodemographic variables obtained data from Rajshahi Diabetes Association , Bangladesh by multiple classification analysis (MCA). Results of this study indicate that children ever born (CEB) increase with increasing age, duration of marriage and duration of suffering from diabetes while CEB decrease with increasing household education, age at first marriage, body mass index (BMI) and duration of sleeping. Also, diabetic females 25–34 years of age are more fertile than other ages. It is also identified that the first through tenth strongest influential factors for explaining the variation on CEB are respondent’s education, duration of marriage, age, living house, duration of sleeping, blood pressure, current living place, age at first marriage duration of suffering from diabetic and BMI respectively.
Keywords Children ever born (CEB) Diabetic patients Multiple classification analysis (MCA) Shrinkage coefficient of the model Bangladesh
References
https://link.springer.com/chapter/10.1007%2F9783319436883_19
1/6
4/5/2017
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Springer
Adhikari, R. (2010). Demographic, socioeconomic, and cultural factors affecting fertility differentials in Nepal. BMC Pregnancy & Childbirth, 10, 19. CrossRef (http://dx.doi.org/10.1186/147123931019) Ali, M. A. (2003) Fertility patterns and differentials in Bangladesh; M.Sc Thesis, Dept. of Statistics, University of Rajshahi; Bangladesh. Alo, O. A. (2011). Fertility regimentation of the rural Yoruba women of Southwest Nigeria: The case of Ido and Isinbode. Journal of Social Science, 26(1), 57–65. Anderson, R. L., & Bancraft, T. A. (1952). Statistical theory in research. New York: Mcgraw Hill. Bongaarts, J. (2008). Fertility transitions in developing countries: progress or stagnation? Studies in Family Planning 39, 105–110. Casterline, J. B. (2001). The pace of fertility transition: National patterns in the second half of the twentieth century. Population and Development Review, 27(Suppl. Global Fertility Transition), 17–52. Cochrane, S. H. (1979). Fertility and education. Baltimore: The John Hopkins University Press. Coombs, P. H., Prosser, C., & Ahmed, M. (1973). New paths to learning for rural children and youth. New York. Ginneken, J. V., & Razzaque, A. (2003). Supply and demand factors in the fertility decline in Matlab, Bangladesh in 1977–1999. European Journal of Population, 19, 29–45. CrossRef (http://dx.doi.org/10.1023/A%3A1022139328617) Haupt, A., & Kane, T. T. (2004). Population reference Bureau’s population handbook (5th ed.). Eleventh printing, 2004. Hossain, M. S., & Islam, M. R. (2013). Age specific participation rates of Curacao in 2011: Modeling approach. American Open Computational and Applied Mathematics Journal, 1(2), 08–21. Hossain, M. K., Islam, M. R., Khan, M. N., & Ali, M. R. (2015). Contribution of sociodemographic factors on antenatal care in Bangladesh: Modeling approach. Public Health Research, 5(4), 95–102. Hussain, A., Vaaler, S., Sayeed, M. A., Mahtab, H., Ali, S. M. K., & Khan, A. K. A. (2007). Type 2 diabetes and impaired fasting blood glucose in rural Bangladesh: A populationbased study. The European Journal of Public Health, 17(3), 291–296. CrossRef (http://dx.doi.org/10.1093/eurpub/ckl235) Isiugoabanibe, U. C. (1997). Fertility preferences and contraceptive practice in Nigeria. Annals of the Social Science Council of Nigeria, 9, 1–20.
Support
Islam, M. R. (2011). Modeling of diabetic patients associated with age: Polynomial model approach. International Journal of Statistics and Applications, 1(1), 1–5. CrossRef (http://dx.doi.org/10.5923/j.statistics.20110101.01) Islam, M. R. (2012a). Mathematical modeling of age and of income distribution associated with female marriage migration in Rajshahi, Bangladesh. Research Journal of Applied Sciences, Engineering and Technology, 4(17), 3125–3129. Islam, M. R. (2012b). Modeling and projecting population for Muslim of urban area in Bangladesh. International Journal of Probability and Statistics, 1(1), 04–10. CrossRef (http://dx.doi.org/10.5923/j.ijps.20120101.02) Islam, M. R. (2013). Modeling age structure and ASDRs for human population of both sexes in Bangladesh. International Journal of Anthropology, 28(1), 47–53. Islam, M. R. (2014). Modeling of ASFRs and study the reproductivity of women of urban area in Bangladesh. Advances in Life Sciences, 4(5), 227–234. Islam, M. R., Ali, M. K., & Islam, M. N. (2013). Construction of life table and some mathematical models for male population of Bangladesh. American Journal of Computational and Applied Mathematics, 3(6), 269–276. Islam, M. R., & Hoque, M. N. (2015). Mathematical modeling and projecting population of Bangladesh by age and sex from 2002 to 2031. Emerging Techniques in Applied Demography, Applied Demography Series, 4, 53–60 (Chapter 5). Islam, M. R., & Hossain, M. S. (2013a). Mathematical modeling of age specific adult literacy rates of rural area in Bangladesh. American Open Demography Journal, 1(1), 01–12.
https://link.springer.com/chapter/10.1007%2F9783319436883_19
2/6
4/5/2017
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Springer
Islam, M. R., & Hossain, M. S. (2013b). Mathematical modeling of age specific participation rates in bangladesh. International Journal of Scientific and Innovative Mathematical Research, 1(2), 150–159. Islam, M. R., & Hossain, M. S. (2014a). Some models associated with age specific adult literacy rates of urban area in Bangladesh. International Journal of Ecosystem, 4(2), 66–74. Islam, M. R., & Hossain, M. S. (2014b). Mathematical modeling of age specific adult literacy rates in Bangladesh. Advances in Life Sciences, 4(3), 106–113. Islam, M. R., & Hossain, S. (2015). Some standard physical characteristics of students in Seoul: Modeling approach. American Journal of Mathematics and Statistics, 5(5), 230–237. Islam, M. R., Hossain, M. S., & Faroque, O. (2014). UShaped pattern of employees’ job satisfaction: Polynomial model approach. International Journal of Ecosystem, 4(4), 170–175. Islam, S., & Nesa, M. K. (2009). Fertility transition in Bangladesh: The role of education. Proceedings of Pakistan Academy Science, 46(4), 195–201. Islam, M. R., & Rahman, M. O. (2012). The risk factors of type 2 diabetic patients attending Rajshahi diabetes association, Rajshahi, Bangladesh and its primary prevention. Food and Public Health, 2(2), 5–11. CrossRef (http://dx.doi.org/10.5923/j.fph.20120202.02) James, W. P., JacksonLeach, R., & Mhurchu, C. N. (2004). Overweight and obesity. In E. A. D. Lopez, A. Rodgers, C. J. L. Murray, & M. Ezzati (Eds.), Comparative quantification of health risks: Global and regional burden of disease attributable to selected major risk factors (pp. 497–596). Geneva: WHO. Kasim, K., Amar, M., El Sadek, A. A., & Gawad, S. A. (2010). Peripheral neuropathy in type 2 diabetic patients attending diabetic clinics in AlAzhar University Hospitals, Egypt. International Journal of Diabetes Mellitus, 2(1), 20–23. CrossRef (http://dx.doi.org/10.1016/j.ijdm.2009.10.002) Khuda and Hossain. (1996). Fertility decline in Bangladesh: Toward an understanding of major causes. Health Transition Review, 6, 155–167. Kim, S. M., Lee, J. S., Lee, J., Na, J. K., Han, J. H., Yoon, D. K., et al. (2006). Prevalence of diabetes and impaired fasting in Korea. Diabetes Care, 29, 226–232. CrossRef (http://dx.doi.org/10.2337/diacare.29.02.06.dc050481) Maheshwari, A., Stofberg, L., & Bhattacharya, S. (2007). Effect of overweight and obesity on assisted reproductive technology—A systematic review. Human Reproduction Update, 13, 433–444. CrossRef (http://dx.doi.org/10.1093/humupd/dmm017)
Support
Mitra, S. N., Ali, M. N., Islam, S., Cross, A. R., & Saha, T. (1994) Bangladesh demographic and health survey 1993–94, Calverton, Maryland. National Institute of Population Research & Training (NIPORT), Mitra and Associates, and Macro International Inc. Mitra, S. N., & Associate. (2001). Bangladesh demographic and health survey 1999–2000. Dhaka, Bangladesh: Institute of Population Research and Training (NIPORT). Mitra, S. N., & Associate. (2007). Bangladesh demographic and health survey. Dhaka, Bangladesh: Institute of Population Research and Training (NIPORT). Mitra, S. N., & Associate. (2011). Bangladesh demographic and health survey. Dhaka, Bangladesh: Institute of Population Research and Training (NIPORT). Nasra, M., & Makhdoom, A. (1998). Patterns of desired fertility and contraceptive use in Kuwait. Social– Biology, 37(2), 110–111. Olalekan, W., Esther, A. O., Olusengun, J., & Olugbenga, A. (2011). A comparative study of socio demographic determinants and fertility pattern among women in rural and urban communities in southwestern Nigeria. Continental Journal Medical Research, 5(1), 32–40. Palamuleni, M. E. (2011). Socioeconomic determinants of age at marriage in Malawi. International Journal of Sociology and Anthropology, 3(7), 224–235. Pinborg, A., Gaarslev, C., Hougaard, C. O., Andersen, A. N., Andersen, P. K., Boivin, J., & Schmidt, L. (2011). Influence of female bodyweight on IVF outcome: A longitudinal multicentre cohort study of 487 infertile couples. Reproductive Biomedicine Online, doi:10. 1016/ j. rbmo. 2011. 06. 010 (http://dx.doi.org/10.1016/j.rbmo.2011.06.010)
https://link.springer.com/chapter/10.1007%2F9783319436883_19
3/6
4/5/2017
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Springer
Porapakkham, Y., Pattaraarchachai, J., & Aekplakorn, W. (2008). Prevalence, awareness, treatment and control of hypertension and diabetes mellitus among the elderly: The 2004 National Health Examination Survey III. Thailand. Singapore Medical Journal, 49(11), 868–873. PRB. (2014). World population data sheet. Rahman, M. O., & Islam, M. R. (2011). Association between fasting of ramadan and risk factors of diabetes: A study from Rajshahi City in Bangladesh. Advance Journal of Food Science and Technology, 3(5), 360–365. Rahman, M. O., & Islam, M. R. (2012a). Influential determinants of blood glucose level of diabetic patients in Bangladesh. International Journal of Current Biomedical and Pharmaceutical Research, 2(1), 252–256. Rahman, M. O., & Islam, M. R. (2012b). Socio demographic and health related determinants of over weighted diabetic patients in Bangladesh. Current Research Journal of Biological Sciences, 4(3), 337–344. Rahman, M. O., & Islam, M. R. (2012c). Sociodemographic and health related determinants of abdominal obesity of male diabetic patients in Bangladesh. Asian Profile, 40(5), 409–420. SanchezViveros, S., Barquera, S., MedinaSolis, C. E., VelazquezAlva, M. C., & Valdez, R. (2008). Association between diabetes mellitus and hypertension with anthropometric indicators in older adults: Results of the Mexican health survey, 2000. The Journal of Nutrition, Health & Aging, 12(5), 327–333. CrossRef (http://dx.doi.org/10.1007/BF02982664) Sarkar, S. K. (2004). Demand for a child in Bangladesh: A multivariate statistical analysis. Unpublished Ph. D. Thesis, Department of Statistics, University of Rajshahi, Bangladesh. Sarkar, S. K., Midi, H., & Imon, A. H. M. R. (2009). Binary response model of desire for children in Bangladesh. European Journal of Social Sciences, 10(3), 364–373. Sayem, A. M., & Nury, T. M. S. (2011). Factors associated with teenage marital pregnancy among Bangladeshi women. Reproductive Health, 8, 16. CrossRef (http://dx.doi.org/10.1186/17424755816) Stevens, J. (1996). Applied multivariate statistics for the social sciences (3rd ed.). Publishers, New Jersey: Lawrence Erlbaum Associates Inc. UN. (1983). Manual X: Indirect techniques for demographic estimation. Population studies, No. 81. New York. UNICEF. (2005). Early marriage: A harmful traditional practice. New York: United Nations.
Support
Veghari, G., Sedaghat, M., Joshaghani, H., Hoseini, S. A., Niknezad, F., Angizeh, A., et al. (2010). Association between sociodemographic factors and diabetes mellitus in the north of Iran: A population based study. International Journal of Diabetes Mellitus, 2, 154–157. CrossRef (http://dx.doi.org/10.1016/j.ijdm.2010.09.001) Yates, F. (1934). The analysis of variance with unequal numbers in the different classes. Journal of American Statistical Association, 29, 51–66. CrossRef (http://dx.doi.org/10.1080/01621459.1934.10502686)
About this Chapter Title Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Book Title Applied Demography and Public Health in the 21st Century Book Part Part II Pages pp 349360 Copyright
https://link.springer.com/chapter/10.1007%2F9783319436883_19
4/6
4/5/2017
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Springer
2017 DOI 10.1007/9783319436883_19 Print ISBN 9783319436869 Online ISBN 9783319436883 Series Title Applied Demography Series Series Volume 8 Series ISSN 2352376X Publisher Springer International Publishing Copyright Holder Springer International Publishing Switzerland Additional Links About this Book Topics Demography Public Health Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Population Economics
Support
Keywords Children ever born (CEB) Diabetic patients Multiple classification analysis (MCA) Shrinkage coefficient of the model Bangladesh
Industry Sectors Finance, Business & Banking Consumer Packaged Goods eBook Packages Social Sciences Editors M. Nazrul Hoque (1) Beverly Pecotte (2)
https://link.springer.com/chapter/10.1007%2F9783319436883_19
5/6
4/5/2017
Effects of Selected SocioDemographic Variables on Fertility Among Diabetic Patients in Bangladesh Springer
Mary A. McGehee (3) Editor Affiliations 1. Hobby Center for Public Policy, University of Houston 2. Institute for Demographic and and Socioeconomic Research, University of Texas at San Antonio 3. Health Statistics Branch, Center for Public Health Practice, Arkansas Department of Health Authors Md. Obaidur Rahman (4) Md. Rafiqul Islam (4) Clyde McNeil (5) M. Korban Ali (6) Author Affiliations 4. Department of Population Science and Human Resource Development, Rajshahi University, Rajshahi, 6205, Bangladesh 5. Hobby Center for Public Policy, University of Houston, Houston, TX, USA 6. Manarat International University, Gulshan, Dhaka, Bangladesh We use cookies to improve your experience with our site. More information Accept
Support
Support
https://link.springer.com/chapter/10.1007%2F9783319436883_19
6/6
