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FERTILITY DETERMINANTS

Bongaarts’ aggregate model of the proximate determinants of fertility

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FERTILITY DETERMINANTS IN PRETRANSITION SOCIETIES
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The CSM proved useful in investigating predictors of fertility-related distress, with emotional, rather than cognitive representation of illness determining its levels. Socio-cultural background played a role in determining one's fertility-related distress and contributed to the explanation of the relationship between one's desire to have children, treatment-related regret, and fertility-related distress. You need to log in or sign up for an account to be able to comment.

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Determinants of fertility issues experienced by young women diagnosed with breast or gynaecological cancer - a quantitative, cross-cultural study Aleksandra Sobota, Gozde Ozakinci. Read this article multiple options. No comments yet, be the first to post one! Sexual function and cardiovascular disease: The mechanism of blood flow during chest compressions for cardiac arrest is probably influenced by the patients chest configuration. Use of SGLT2 inhibitors in type 2 diabetes: Presence and use of automated external defibrillators in occupational setting, Belgium.

Maternal mortality after cesarean section in the Netherlands. Central sensitization syndrome and the initial evaluation of a patient with fibromyalgia: First-line chemoimmunotherapy with bendamustine and rituximab versus fludarabine, cyclophosphamide, and rituximab in patients with advanced chronic lymphocytic leukaemia CLL Again in India, a small percentage of girls is married before the onset of menarche. In such a situation, the onset of menarche is the beginning of the reproductive period.

Within the reproductive span, the married and fecund woman reproduces at a rate inversely related to the average duration of the birth interval. High fertility is associated with short birth intervals and low fertility is associated with long birth intervals. The length or duration of her birth interval interval from one birth to the next birth or from the last birth to the onset of permanent sterility or marital disruption is determined by three important components, viz.

Preserve Articles is home of thousands of articles published and preserved by users like you. Couples in high-mortality settings anticipate the death of some of their children that might dictate them to change their reproductive preferences and behavior. Childhood mortality could also have the combined biological and volitional replacement effects to reduce the time to subsequent conception if the death occurs within a given interval.

The time to conception could also be reduced if a childhood death occurs during a prior birth interval. Accordingly, this study had revealed child mortality as a strong and significant predictor of fertility as documented for the same study population a decade ago and elsewhere [ 17 - 19 ].

Epidemic and frequent episodes of drought in the study community, which might have claimed the lives of their children, provoked mothers to replace the lost ones [ 7 ]. Contrary to the findings of many studies, fertility was significantly higher among women who had no preference to the sex of their children. Conversely, studies done in Ethiopia and Asia had revealed more preference towards sons compared to daughters because males inherit properties from their ancestors in a patrilineal society.

A similar study in USA indicated a stable marital union or request for the custody of their child by fathers if the marriage was dissolved when couples had sons instead of daughters [ 22 , 25 , 26 ]. Religiosity among women in the study community had probably dimmed their decision. The use of Butajira DSS database to recruit study participants and administration of standard maternity history questionnaire by clinical nurses could be mentioned as strengths for the current study.

The demographic surveillance staffs knew study participants for a long time and this built trust on the participants side to provide reliable information. The study was also conducted in a peak harvesting season which reduced the participation of certain community groups that could be away from their home by virtue of their work. Local government authorities should play pivotal role to make women stay more years at school thereby increase the age at first marriage to reduce fertility in the area.

Special attention should also be given to increase the enrollment of women in secondary education to significantly reduce fertility in rural communities. Moreover, the community should be made aware on the negative impact of large family size on the household economy, environmental degradation and the country's socio-economic development at large.

Efforts to enhance child survival have to be scaled up to curve the level of fertility in resource-constrained rural Ethiopia. WM participated from conception to the final approval of the final version of the article. AW supervised the whole exercise and made critical comments at each step in the research. He also approved the final version of the article. We are grateful to Dr. Assefa Hailemariam who had commented on the first version of this article. Our heartfelt gratitude should go to study participants who had shared their valuable times with us.

Last but not least the field staffs and data entry clerks involved in the study should be acknowledged for their contribution to the success of the project. We thank the Bill and Melinda Gates Institute for sponsoring this study.

National Center for Biotechnology Information , U. Published online Oct Wubegzier Mekonnen 1 and Alemayehu Worku 1. Received Jul 8; Accepted Oct This article has been cited by other articles in PMC.

Abstract Background Fertility is high in rural Ethiopia. Results Delayed marriage, higher education, smaller family, absence of child death experience and living in food-secured households were associated with small number of children. Conclusions Policy makers should focus on hoisting women secondary school enrollment and age at first marriage.

Background The three components of population change i. Methods This study was conducted in Butajira demographic surveillance system DSS started with 10 villages 9 rural and 1 urban sampled according to probability proportional to size technique from 82 rural and 4 urban villages [ 10 ]. Table 1 The distribution of study participants by various characteristics in Butajira, Characteristics Number Percent Age at first Marriage Open in a separate window. Parity Progression Ratio for Women in Butajira, Discussion Total fertility and marital fertility rates of 5.

Conclusions Local government authorities should play pivotal role to make women stay more years at school thereby increase the age at first marriage to reduce fertility in the area.

Competing interests The authors declare that they have no competing interests. Authors' contributions WM participated from conception to the final approval of the final version of the article. Pre-publication history The pre-publication history for this paper can be accessed here: Acknowledgements and Funding We are grateful to Dr. Population and Development Review. High fertility in sub-Saharan Africa. The proximate determinants of the decline to below-replacement fertility in Addis Ababa, Ethiopia.

Fertility decline driven by poverty: Ethiopia Demographic and Health Survey Vulnerability to episodes of extreme weather: Population pressure and land degradation: J Environ Econ Manage.

The Butajira rural health project in Ethiopia: Scand J Prim Health Care. Desired family size, family planning and fertility in Ethiopia. Estimation of the total fertility rates and proximate determinants of fertility in North and South Gondar zones, Northwest Ethiopia: An application of the Bongaarts' model.

Bongaarts J, Zimmer Z. The National Population Policy of Ethiopia. Addis Ababa, Ethiopia; Alene GD, Worku A. Differentials of fertility in North and South Gondar zones, northwest Ethiopia: Level and differentials of fertility in Awassa town, Southern Ethiopia.

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Bongaarts’ aggregate model of the proximate determinants of fertility. Bongaarts (, ) and Bongaarts and Potter () refined Davis and Blake’s framework into 7 important factors, which were termed as the proximate determinants of fertility, to understand .

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The proximate determinants of fertility can be classified in two groups, viz., (1) those influencing the length of the reproductive span and (2) those influencing the rate of child-bearing within the reproductive.

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Read chapter 5 Proximate Determinants of Fertility: This detailed examination of recent trends in fertility and mortality considers the links between thos. Use this quiz/worksheet as an instrument to cement your awareness of the proximate determinants of fertility. If you want a hard copy assessment.

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iv Determinants and Consequences of High Fertility | A Synopsis of the Evidence T his report was prepared by John B. Caster-line (Robert T. Lazarus Professor in Popu-. THE PROXIMATE DETERMINANTS DURING THE FERTILITY TRANSITION Jean-Pierre Guengant* INTRODUCTION Fertility has declined very markedly in the majority of developing countries over the past thirty to.