The World Fact Book ranked Cameroon at the 20th position with a fertility rate of 4.66 in 2020. UNSD Database (2020) gives the fertility rate of Cameroon as 5.4, 5.2 and 5.0 for 2005, 2010 and 2019 respectively. In the rank for the most obese countries, Cameroon was the 135th with an average BMI of 11.4 in 2016. In 2019, 11.4% of Cameroonians were obese with an average BMI of 24.4%. These figures show that years with higher fertility rates had lower levels of life expectancy and BMI. This is a possible indication of a direct link between fertility and health. This work was aimed at investigating the determinants of fertility and the effect of fertility on women’s health (BMI) in Cameroon. The expo-facto research design and pooled data from the 1991, 1998, 2004, 2011 and 2018 Cameroon DHS data sets were used. The total sample size stood at 50,131. The Instrumental Variable Probit Model, 2SLS Regression were used to analyze the data. Fertility had a positive and statistically significant effect on health. The use of contraceptives, knowledge on ovulation, age at first sex, age at first cohabitation, women’s employment, education, husband’s education, wealth level, religion and lifetime sex partners all had negative and statistically significant influence on women’s fertility. Age and region of origin had a positive and statistically significant influence on women’s fertility. Women’s educational level, husband’s education, skipping meals and religion all had positive and statistically significant influence women’s health. Age, husband’s occupation, lifetime sex partners, women’s employment, use of modern contraceptives, husband’s age, age at first birth, respondent’s occupation had a negative and statistically significantly influence on women’s health. The study recommended birth spacing for 2 years minimum to give the woman’s body time to lose weight naturally.
| Published in | International Journal of Health Economics and Policy (Volume 7, Issue 2) |
| DOI | 10.11648/j.hep.20220702.14 |
| Page(s) | 36-45 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Fertility, Health, BMI, Women, Determinants, Cameroon
| [1] | Ahmad, S., G. (1985). Effect of Education on Marital Fertility in Four Muslim Populations. Comparative Study, 41 (1-2), 23-37. |
| [2] | Åsa, K., Karen M., and Carina H. (1999). Women's Health at Work. Research gate. https://www.researchgate.net/publication/265754069_Women%27s_Health_at_Work |
| [3] | Baum, C., L., and Ruhm, C., J. (2007). Age, Socioeconomic Status and Obesity. Growth NBER Working Paper, No. w13289. |
| [4] | Bbaale, E. (2010). Female Education, Contraceptive Use, and Fertility: Evidence from Uganda. The Journal of Sustainable Development, 6 (1), 20–47. |
| [5] | Beguy, D. (2009). The impact of female employment on fertility in Dakar (Senegal) and Lomé (Togo). Demographic Research, 20 (7), 97-128. |
| [6] | DHS. (1991). Cameroon Demographic Health Survey and Multiple Indicators.www.dhsprogram.org |
| [7] | DHS. (1998). Cameroon Demographic Health Survey and Multiple Indicators.www.dhsprogram.org |
| [8] | DHS. (2004). Cameroon Demographic Health Survey and Multiple Indicators.www.dhsprogram.org |
| [9] | DHS. (2011). Cameroon Demographic Health Survey and Multiple Indicators.www.dhsprogram.org |
| [10] | DHS. (2018). Cameroon Demographic Health Survey and Multiple Indicators.www.dhsprogram.org |
| [11] | Esteban, O., Sandra, T., and Max, R. (2018). Women’s employment. Our World in Data. https://ourworldindata.org/female-labor-supply |
| [12] | Fisher, G., P. (1992). 3 Generally Accepted Theories Explain the Causes of Obesity. Deseret Digital Media, https://www.deseret.com/1992/6/5/18987708/3-generally-accepted-theories-explain-the-causes-of-obesity |
| [13] | Goldin, C., and Lawrence F. (2002). The power of the pill: Oral contraceptives and women's career and marriage decisions. Journal of Political Economy, 110 (4), 730-770. |
| [14] | Ingrid, W. (1980). Employment and Women's Health: An Analysis of Causal Relationships. International Journal of Health Services. https://doi.org/10.2190/8QQ5-KR69-627U-61M6 |
| [15] | Judith, H., and LaRosa, R., N. (1988). Women, work, and health: Employment as a risk factor for coronary heart disease. American Journal of Obstetrics and Gynecology, 158 (6), 2, 1597-1602. |
| [16] | Kanjanapan, W., I. (1985). Marital Status Composition and Fertility: A Comparative Analysis of World Fertility Survey Data. PMID, (8), 153-75. |
| [17] | Kevin, M. (2004). When Does Religion Influence Fertility? Population and development review, 30 (1), 25-56. |
| [18] | Kinga, B., M., Yvonne, T., and Nji, C. (2019). Socioeconomic status and obesity in the Bamenda Municipality on the Northwest Region. Cameroon, Journal of Economics and management sciences. 1 (1), 2664-8237. |
| [19] | Maslow, A., H. (1943). A theory of human motivation. Psychological Review, 50, 370–396. |
| [20] | Maydeu-Olivares, A., Shi, D., and Rosseel, Y. (2019). Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models Structural Equation Modeling. A Multidisciplinary Journal, 26 (6), 876-892. |
| [21] | Mosammat, Z., N., Mohammad, S., Z., and Shafiqul, S., M., I. (2013). Age at first marriage and its relation to fertility in Bangladesh. Chinese Journal of Population Resources and Environment, 11, 3. |
| [22] | Nagata, J., M., Valeggia, C., Barg, F., and Bream, K. (2009). Body mass index, socio-economic status and socio-behavioral practices among Tz’utujil Maya women. Economic of Human Biology, 19104. |
| [23] | Nathan, H., L, (2017). The Relationship between Waist-Hip Ratio and Fertility. Research from traditional societies provides dramatic new evidence. https://www.psychologytoday.com/us/blog/beastly-behavior/201706/the-relationship-between-waist-hip-ratio-and-fertility |
| [24] | Norman, R., J., and Clark, A., M. (1998). Obesity and reproductive disorders: A review. Reprod Fertil Dev, 10 (1), 55-63. |
| [25] | Payne, J. (2004). The impact of a reduced fertility rate on women's health. BMC Womens Health, PMID, 15345074. |
| [26] | Quinel, R. (2009). The Relationship of Socioeconomic Status and Obesity in Youth. A Master Of Nursing Washington State University. https://pdfs.semanticscholar.org. |
| [27] | Rena, R., Karen, A., Matthews, S., and Ingrid, W. (1989). Employment and Women's Health: Effects of Paid Employment on Women's Mental and Physical Health. American Psychologist, 44 (11), 1394-1401. |
| [28] | Schultz, T., P. (2005). Fertility and Income. Economic Growth Center Yale University Center Discussion Paper, No. 925. |
| [29] | SDG, (2010). Sustainable Development Goals. Cameroon. www.un.org. |
| [30] | Sorokowski, P., Butovskaya, M., Sorokowska, A., Karwowski, M., Sabiniewicz, A., Fedenok, J. and Dronova, D. (2017). Waist-to-hip ratio, body-mass index, age and number of children in seven traditional societies. Scientific Reports, 7. |
| [31] | Stoebenau, K., Rohini P. andAnju, M. (2013). Has Fertility Decline Contributed to Improvements in Women’s Lives? ICRW-FE, 012-2013. |
| [32] | Tsafack, A., R., N., and Zamo-Akono, C., M. (2010). Fertility, Health and Female Labour Force Participation in Urban Cameroon. International Business Research Archives. 3 (2), 136. |
| [33] | UNSD. (2020). United Nations Statistics Division data base. https://unstats.un.org/home/ |
| [34] | WHO, (2019). Mental health aspects of women’s reproductive health; A global review of the literature. https://apps.who.int/iris/handle/10665/43846 |
| [35] | Zijian, G., and Dylan, S., S. (2016). Control Function Instrumental Variable Estimation of Nonlinear Causal Elect Models. Journal of Machine Learning Research, 17 (1), 1-35. |
APA Style
Kinga Bertila Mayin, Dobdinga Cletus Fonchamnyo, Fuein Vera Kum, Eyvonne Ngequih Tumasang. (2022). The Effect of Fertility on Women’s Health and the Determinants of Fertility in Cameroon. International Journal of Health Economics and Policy, 7(2), 36-45. https://doi.org/10.11648/j.hep.20220702.14
ACS Style
Kinga Bertila Mayin; Dobdinga Cletus Fonchamnyo; Fuein Vera Kum; Eyvonne Ngequih Tumasang. The Effect of Fertility on Women’s Health and the Determinants of Fertility in Cameroon. Int. J. Health Econ. Policy 2022, 7(2), 36-45. doi: 10.11648/j.hep.20220702.14
AMA Style
Kinga Bertila Mayin, Dobdinga Cletus Fonchamnyo, Fuein Vera Kum, Eyvonne Ngequih Tumasang. The Effect of Fertility on Women’s Health and the Determinants of Fertility in Cameroon. Int J Health Econ Policy. 2022;7(2):36-45. doi: 10.11648/j.hep.20220702.14
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Download@article{10.11648/j.hep.20220702.14,
author = {Kinga Bertila Mayin and Dobdinga Cletus Fonchamnyo and Fuein Vera Kum and Eyvonne Ngequih Tumasang},
title = {The Effect of Fertility on Women’s Health and the Determinants of Fertility in Cameroon},
journal = {International Journal of Health Economics and Policy},
volume = {7},
number = {2},
pages = {36-45},
doi = {10.11648/j.hep.20220702.14},
url = {https://doi.org/10.11648/j.hep.20220702.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hep.20220702.14},
abstract = {The World Fact Book ranked Cameroon at the 20th position with a fertility rate of 4.66 in 2020. UNSD Database (2020) gives the fertility rate of Cameroon as 5.4, 5.2 and 5.0 for 2005, 2010 and 2019 respectively. In the rank for the most obese countries, Cameroon was the 135th with an average BMI of 11.4 in 2016. In 2019, 11.4% of Cameroonians were obese with an average BMI of 24.4%. These figures show that years with higher fertility rates had lower levels of life expectancy and BMI. This is a possible indication of a direct link between fertility and health. This work was aimed at investigating the determinants of fertility and the effect of fertility on women’s health (BMI) in Cameroon. The expo-facto research design and pooled data from the 1991, 1998, 2004, 2011 and 2018 Cameroon DHS data sets were used. The total sample size stood at 50,131. The Instrumental Variable Probit Model, 2SLS Regression were used to analyze the data. Fertility had a positive and statistically significant effect on health. The use of contraceptives, knowledge on ovulation, age at first sex, age at first cohabitation, women’s employment, education, husband’s education, wealth level, religion and lifetime sex partners all had negative and statistically significant influence on women’s fertility. Age and region of origin had a positive and statistically significant influence on women’s fertility. Women’s educational level, husband’s education, skipping meals and religion all had positive and statistically significant influence women’s health. Age, husband’s occupation, lifetime sex partners, women’s employment, use of modern contraceptives, husband’s age, age at first birth, respondent’s occupation had a negative and statistically significantly influence on women’s health. The study recommended birth spacing for 2 years minimum to give the woman’s body time to lose weight naturally.},
year = {2022}
}
TY - JOUR T1 - The Effect of Fertility on Women’s Health and the Determinants of Fertility in Cameroon AU - Kinga Bertila Mayin AU - Dobdinga Cletus Fonchamnyo AU - Fuein Vera Kum AU - Eyvonne Ngequih Tumasang Y1 - 2022/05/10 PY - 2022 N1 - https://doi.org/10.11648/j.hep.20220702.14 DO - 10.11648/j.hep.20220702.14 T2 - International Journal of Health Economics and Policy JF - International Journal of Health Economics and Policy JO - International Journal of Health Economics and Policy SP - 36 EP - 45 PB - Science Publishing Group SN - 2578-9309 UR - https://doi.org/10.11648/j.hep.20220702.14 AB - The World Fact Book ranked Cameroon at the 20th position with a fertility rate of 4.66 in 2020. UNSD Database (2020) gives the fertility rate of Cameroon as 5.4, 5.2 and 5.0 for 2005, 2010 and 2019 respectively. In the rank for the most obese countries, Cameroon was the 135th with an average BMI of 11.4 in 2016. In 2019, 11.4% of Cameroonians were obese with an average BMI of 24.4%. These figures show that years with higher fertility rates had lower levels of life expectancy and BMI. This is a possible indication of a direct link between fertility and health. This work was aimed at investigating the determinants of fertility and the effect of fertility on women’s health (BMI) in Cameroon. The expo-facto research design and pooled data from the 1991, 1998, 2004, 2011 and 2018 Cameroon DHS data sets were used. The total sample size stood at 50,131. The Instrumental Variable Probit Model, 2SLS Regression were used to analyze the data. Fertility had a positive and statistically significant effect on health. The use of contraceptives, knowledge on ovulation, age at first sex, age at first cohabitation, women’s employment, education, husband’s education, wealth level, religion and lifetime sex partners all had negative and statistically significant influence on women’s fertility. Age and region of origin had a positive and statistically significant influence on women’s fertility. Women’s educational level, husband’s education, skipping meals and religion all had positive and statistically significant influence women’s health. Age, husband’s occupation, lifetime sex partners, women’s employment, use of modern contraceptives, husband’s age, age at first birth, respondent’s occupation had a negative and statistically significantly influence on women’s health. The study recommended birth spacing for 2 years minimum to give the woman’s body time to lose weight naturally. VL - 7 IS - 2 ER -
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