The Future Fertility of the American Negro

Social Forces ◽  
1959 ◽  
Vol 37 (3) ◽  
pp. 228-231 ◽  
Author(s):  
A. Lee ◽  
E. Lee
Keyword(s):  
Future Fertility ◽  
The Future

Fertility intentions among the working population of Dalian City born between 1980 and 1989

2021 ◽  
pp. 1-12
Author(s):  
Hongyan Qiu ◽  
Qun Zhang ◽  
Jin Zhang ◽  
Qingshan Wang ◽  
Lihong Liu ◽  
...  
Keyword(s):  
Family Income ◽  
Reproductive Behaviour ◽  
Fertility Intentions ◽  
Second Child ◽  
Number Of Children ◽  
Child Policy ◽  
Future Fertility ◽  
The Future ◽  
Dalian City ◽  
Ideal Number

Abstract In October 2015, the Chinese Government announced that the one-child policy had finally been replaced by a universal two-child policy. China’s universal two-child policy is highly significant because, for the first time in 36 years, no one in an urban city is restricted to having just one child. This cross-sectional study was conducted to explore future fertility intentions and factors influencing individual reproductive behaviour (whether to have two children) in Dalian City. A total of 1370 respondents were interviewed. The respondents’ mean ideal number of children was only 1.73, and urban respondents’ sex preference was symmetrical. A total of 19.0% of the respondents were unmarried, 64.5% were married and had childbearing experience and only 6.3% of married respondents had two children. Among the 1370 participants, 30.4% stated that they would have a second child, while 69.6% refused to have a second child in the future. Binary logistic regression analysis (Model 1) showed that the following characteristics were associated with having only one child in the future: being female, being older, having a lower education level, being born in Dalian, having a lower family income and reporting one child as the ideal number of children. Model 2 (comprising only respondents with childbearing experience) showed that respondents who were female, had a lower family income and were unable to obtain additional financial support from parents were more likely to intend to stick at one child. In addition, respondents’ ideal number of children and childbearing experiences had a significant influence on future fertility intentions. These results suggest that fertility intentions and reproductive behaviours are still below those needed for replacement level fertility in Dalian City. China’s policymakers should pay more attention to these factors (socioeconomic characteristics, economic factors, desired number of children and childbearing experiences) and try to increase individual reproductive behaviour.

Understanding dystocia in the field: part 1

UK-Vet Equine ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 56-62
Author(s):  
Rory Gormley
Keyword(s):  
Decision Making ◽  
Morbidity And Mortality ◽  
Physiological Processes ◽  
Future Fertility ◽  
The Future

Difficult births (dystocias) are not uncommon for horses and present significant risks to mare and foal, with potentially fatal consequences. A sound understanding of the normal physiological processes before and during parturition are essential to enable vets to quickly identify when these processes deviate from the norm. To rapidly diagnose the cause of the dystocia, the attending obstetrician should be assured in their approach; resolute in their decision making; and prompt in action if the risks of mare and foal morbidity and mortality are to be managed. Constructive communication with the mare's owners is essential to allow adequate planning to prioritise the outcome. The future fertility of the mare is imperative in many cases yet is often overlooked. The obstetrician must be dynamic and be prepared to alter their approach when necessary. This review outlines the causes of dystocia and the recommended approaches to resolution.

Development of Plans for a Social Psychological Study of the Future Fertility of Two-Child Families

1956 ◽  
Vol 10 (1) ◽  
pp. 43 ◽  
Author(s):  
Clyde V. Kiser ◽  
Elliot G. Mishler ◽  
Charles F. Westoff ◽  
Robert G. Potter
Keyword(s):  
Social Psychological ◽  
Psychological Study ◽  
Future Fertility ◽  
The Future

Immigrant Fertility Trends and Population Growth in Leeds

1974 ◽  
Vol 6 (5) ◽  
pp. 509-546 ◽  
Author(s):  
J R King
Keyword(s):  
Population Growth ◽  
Population Projection ◽  
Historical Period ◽  
Fertility Rates ◽  
Projection Model ◽  
Fertility Trends ◽  
Future Fertility ◽  
The Future

A simple population-projection model is presented which is used to predict the future numbers of Commonwealth immigrants in Leeds CB. The assumptions concerning survival and immigration used in the model are stated fully. The rates of fertility of immigrant groups in Leeds are investigated along with the trends in these rates in the historical period. These trends are used to calculate future fertility rates for the immigrant groups in Leeds CB. The results of the projection model are presented for each census date up to 1986 and conclusions are drawn from this information.

Marriage pattern of the Korean population in Japan

1985 ◽  
Vol 17 (4) ◽  
pp. 445-450
Author(s):  
Yoon Shin Kim
Keyword(s):  
Korean Population ◽  
Marriage Pattern ◽  
Koreans In Japan ◽  
Mixed Marriages ◽  
Future Fertility ◽  
The Future ◽  
Husband And Wife

SummaryThe trends of intermarriage, and the attitude to it, of Koreans in Japan were examined. About 47% of total marriages of Koreans during the period 1965–79 comprised a husband and wife of different nationality. The proportion of Korean–Japanese marriages was higher than that of Korean–Korean marriages in recent years. Attitudes of Koreans in Japan are likely to favour intermarriage with Japanese. The results suggest that mixed marriages of Koreans and Japanese will continue to increase and may influence the future fertility of Koreans in Japan.

scholarly journals Fertility Preferences in Saharsa District (Bihar): A Geographical Study

2020 ◽  
Vol 66 (2) ◽  
pp. 149-163
Author(s):  
Nitin Kumar Mishra ◽  
Keyword(s):  
Family Size ◽  
Ideal Family Size ◽  
Human Welfare ◽  
Fertility Preferences ◽  
Number Of Children ◽  
Ideal Family ◽  
Future Fertility ◽  
The Future ◽  
Ideal Number ◽  
The Mean

Fertility preferences in India, expressed in terms of ideal family size and the desire to have additional children, can predict future fertility, with women who have attained or surpassed their ideal family size, or who have explicitly expressed a desire to stop childbearing, less likely than other women to give birth in the future. women will have an unwanted birth is much higher if they have a son than otherwise and as son preference declines, the value of the indicators in predicting the future fertility behaviour of women improves. This paper an attempt to analyze the preferences for family size, sex and the ideal number of the children in population and to suggest some remedial measures to reduce the fertility in general and to enhance human welfare in particular. This study is based on primary data collected through personal survey with the help of a semi-structured questionnaire and interview schedule. The mean ideal number of children varies across the demographic, socio-economic and cultural groups. The mean ideal number of children for the women of 15-19 years is 2 children (1.97 per cent) while it is 3 children (3.05 per cent) for 40-44 years of age. The preference of sons against the daughters is higher in each age group.

scholarly journals Gilt Management for Fertility and Longevity

Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 434 ◽  
Author(s):  
Jennifer Patterson ◽  
George Foxcroft
Keyword(s):  
Management Practices ◽  
Management Program ◽  
Development Programs ◽  
Pork Production ◽  
Future Fertility ◽  
Starting Point ◽  
The Future ◽  
Effective Selection ◽  
Breeding Herd ◽  
Industry Investment

Substantial evidence supports successful management of gilts as an absolutely necessary component of breeding herd management and the pivotal starting point for the future fertility and longevity of the breeding herd. Therefore, gilt management practices from birth have the potential to influence the future reproductive performance of the sow herd. A good gilt management program will address several key components such as birth traits that determine the efficiency of replacement gilt production; effective selection of the most fertile gilts for entry to the breeding herd; effective management programs that provide a consistent supply of service eligible gilts; and appropriate management of weight, physiological maturity, and a positive metabolic state at breeding. Good gilt management can largely resolve the existing gap between excellent genetic potential and the more modest sow lifetime productivity typically achieved in the industry. Investment in good gilt development programs from birth represents a foundational opportunity for improving the efficiency of the pork production industry.

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