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Articles de revues sur le sujet « Fertility »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 9 juin 2025

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1

Li, Nan. "Using the probabilistic fertility table to test the statistical significance of fertility trends." Canadian Studies in Population 43, no. 3-4 (December 20, 2016): 203. http://dx.doi.org/10.25336/p6fp4f.

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At below replacement level, fertility changes are subtle and complex; distinguishing statistically significant trends from random shifts is becoming a relevant issue. The probabilistic fertility table describes the uncertainty of the childbearing process, and provides a significance test for the annual changes of various fertility measures, which is essential for distinguishing a statistically significant change from a random fluctuation. This paper provides an analytical model for the total fertility of the probabilistic fertility table, and extends the significance test to period trends that include multiple annual changes. The extended significance test indicates that complex annual changes could accumulate to become a significant trend. Applying the analytical model and extended test to the total fertility of Canada, it indicates that the 2002–11 increase trend is statistically significant and, therefore, supports project future increases of total fertility.En-dessous du seuil de remplacement des générations, les changements à la fertilité sont subtils et complexes. Aussi, il est devenu pertinent de pouvoir distinguer les tendances significatives au plan statistique des écarts aléatoires. Le tableau probabiliste de fertilité décrit l’incertitude liée au processus de reproduction et fournit un critère de signification des changements annuels dans les diverses mesures de fertilité, élément essentiel pour distinguer un changement important au plan statistique des fluctuations aléatoires. Cet article fournit un modèle analytique pour l’ensemble du tableau probabiliste de fertilité et élargit la portée de cette mesure aux tendances dans le temps incluant les multiples changements annuels. Ce critère élargi indique que les changements complexes annuels peuvent représenter une tendance significative. En appliquant le modèle analytique et le critère au tableau de fertilité du Canada, on constate que la tendance à la hausse de 2002–11 est importante au plan statistique et, par conséquent, augure des hausses futures dans la fertilité totale.

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Ariwangga, Wira Andhika, Singgih Susilo, Ifan Deffinika, and Djoko Soelistijo. "Pengaruh pendapatan keluarga, tingkat pendidikan, dan usia kawin pertama terhadap fertilitas di Desa Mojosulur Kecamatan Mojosari Kabupaten Mojokerto." Jurnal Integrasi dan Harmoni Inovatif Ilmu-Ilmu Sosial (JIHI3S) 2, no. 11 (November 30, 2022): 1063–75. http://dx.doi.org/10.17977/um063v2i11p1063-1075.

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The rate of population growth is caused by migration, birth, and death. Fertility is the most dominant influence. Mojokerto district is a rapidly growing district because of the development of the main line of development, but the negative effects of that result result in fertility issues particularly from the birth rate (fertility). Mojokerto district has always increased in population and mojosari district has become one of the highest population. The village of mojosulur was one of the fertility donors of 305 inhabitants of the mojosari district. The purpose of this study is to know how much family income, education level, and early marriage ages affect fertility in mojosulur village by using a linear regression analysis method. As well as a statistical test of the t for a partial regression relationship. The results of family income variables do not significantly affect fertility and those of the first degree and age of marriage significantly affect fertility. Laju pertumbuhan penduduk disebabkan oleh besarnya migrasi, kelahiran, dan kematian. Fertilitas merupakan pengaruh yang paling mendominasi. Kabupaten Mojokerto merupakan kabupaten yang terus berkembang secara pesat karena tergabung dalam wilayah pembangunan Gerbangkertosusila, namun demikian dampak negatif akibat dari hal tersebut munculah masalah-masalah di bidang kependudukan khususnya akibat dari tingkat kelahiran (fertilitas). Kabupaten Mojokerto selalu meningkat jumlah penduduknya dan Kecamatan Mojosari menjadi salah satu kecamatan dengan jumlah penduduk tertinggi. Desa Mojosulur merupakan salah satu penyumbang fertilitas sebesar 305 jiwa di Kecamatan Mojosari. Tujuan penelitian ini adalah untuk mengetahui besar pengaruh pendapatan keluarga, tingkat pendidikan, dan usia kawin pertama terhadap fertilitas di Desa Mojosulur dengan menggunakan metode analisis regresi linier berganda. Serta dilakukan uji statistik Uji t untuk menguji hubungan regresi secara parsial. Hasilnya variabel Pendapatan Keluarga tidak berpengaruh signifikan terhadap fertilitas dan variabel Tingkat Pendidikan serta Usia Kawin Pertama berpengaruh signifikan terhadap fertilitas.

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Ekawati, Rindang, Rina Herartri, Nuraini Nuraini, Laili Rahayuwati, and Sukamdi Sukamdi. "Fertilitas Migran dan Faktor Yang Memengaruhi Fertilitas di Jawa Barat." Populasi 25, no. 2 (June 6, 2018): 44. http://dx.doi.org/10.22146/jp.36203.

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Migrasi merupakan salah satu faktor yang memengaruhi dinamika penduduk, baik melalui jumlah migran maupun fertilitas migran. Jumlah migrasi yang besar ke Provinsi Jawa Barat merupakan salah satu penyebab peningkatan jumlah penduduk yang cukup besar. Jika migran memiliki fertilitas yang lebih tinggi dibandingkan dengan nonmigran, maka pengaruh tersebut akan lebih besar lagi. Penelitian ini bertujuan untuk mengkaji perbedaan fertilitas antara migran dan nonmigran serta faktor-faktor yang memengaruhi fertilitas di Jawa Barat. Data yang digunakan adalah data Survei Sosial Ekonomi Nasional (Susenas) tahun 2015. Analisis dilakukan menggunakan statistik deskriptif dan inferensial. Hasil penelitian menunjukkan terdapat kecenderungan migran memiliki fertilitas yang lebih tinggi dibandingkan dengan nonmigran. Sementara itu, faktor sosial ekonomi yang berpengaruh terhadap fertilitas adalah pendidikan, usia kawin pertama, penggunaan alat kontrasepsi, dan kegiatan utama (pekerjaan). Migration is one of the factors that influences the dynamics of population, both through the number of migrants and the fertility of migrants. The large number of migrants to West Java Province is one of the causes of a considerable increase in population. If migrants have higher fertility than non-migrants, the effect will be even greater. This study aims to examine the difference of fertility between migrants and non-migrants as well as factors affecting fertility in West Java. The data used is 2015 National Socio-Economic Survey (Susenas). The analysis is done using descriptive and inferential statistics. The results show that there is a tendency for migrants to have higher fertility compared with non-migrants while the socio-economic factors that have an effect on fertility are education, first marriage age, use of contraceptives, and main activities (work).

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Wallace, Ashley R., and Karen Splinter. "Does proximity to a fertility centre increase the chance of achieving pregnancy in Northeastern Ontario?" Canadian Journal of Rural Medicine 29, no. 2 (April 2024): 63–70. http://dx.doi.org/10.4103/cjrm.cjrm_20_23.

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Abstract Introduction: Northern Ontario has a population of approximately 800,000 people distributed over 806,707 km2. Before 2018, the only fertility treatment centre in Northern Ontario was located in Thunder Bay; many patients travelled south for care. In 2018, the Northeastern Ontario Women’s Health Network (NEOWHN) opened in Sudbury, providing fertility treatments to people living in Northeastern Ontario. The goal of this study was to determine if proximity to this new fertility centre increases one’s chance of achieving pregnancy when undergoing fertility treatment. Secondary outcomes included the quantity and types of fertility investigations and treatments completed by patients. Materials and Methods: A retrospective chart review was performed for all patients seeking fertility treatment at NEOWHN between January 2019 and December 2020. Traveling >100 km to access healthcare was considered to be a clinically significant determinant of health. Results: Seven hundred and 5 patients were seen in consultation for fertility services at NEOWHN during the study period. One hundred eighty-one of 478 (37.9%) patients living <100 km from NEOWHN achieved pregnancy compared to 39 of 227 (17.2%) patients living >100 km from NEOWHN (P < 0.01). Conclusion: Living in proximity (<100 km) to NEOWHN increased the likelihood that individuals in Northeastern Ontario would seek fertility services and would achieve pregnancy. Financial constraints and inaccessibility likely play a role in this, but further studies are needed to explain this difference. Introduction: Le Nord de l’Ontario compte une population d’environ 800,000 personnes réparties sur 806,707 km2. Avant 2018, le seul centre de traitement de la fertilité du Nord de l’Ontario était situé à Thunder Bay; de nombreux patients SE rendaient dans le sud pour recevoir des soins. En 2018, le Northeastern Ontario Women’s Health Network (NEOWHN-le Réseau de santé des femmes du Nord-Est de l’Ontario) a ouvert ses portes à Sudbury, offrant des traitements de fertilité aux personnes vivant dans le Nord-Est de l’Ontario. L’objectif de cette étude était de déterminer si la proximité de ce nouveau centre de fertilité augmente les chances d’obtenir une grossesse lors d’un traitement de fertilité. Les résultats secondaires comprenaient la quantité et les types d’examens et de traitements de fertilité effectués par les patients. Méthodes: Une étude rétrospective des dossiers a été réalisée pour tous les patients cherchant un traitement de fertilité au NEOWHN entre janvier 2019 et décembre 2020. Le fait de voyager >100 km pour accéder aux soins de santé a été considéré comme un déterminant de la santé cliniquement significatif. Résultats: Seven hundred and 5 patients ont été vus en consultation pour des services de fertilité au NEOWHN pendant la période d’étude. One hundred eighty-one des 478 (37.9%) patientes vivant à moins de 100 km du NEOWHN ont obtenu une grossesse, contre 39 des 227 (17.2%) patientes vivant à plus de 100 km du NEOWHN (P < 0.01). Conclusion: Le fait de vivre à proximité (<100 km) du NEOWHN augmente la probabilité que les habitants du Nord-Est de l’Ontario aient recours à des services de fertilité et obtiennent une grossesse. Les contraintes financières et l’inaccessibilité jouent probablement un rôle à cet égard, mais d’autres études sont nécessaires pour expliquer cette différence.

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JR, Chandran. "Transgender & Fertility." Open Access Journal of Gynecology 8, no. 3 (July 5, 2023): 1–4. http://dx.doi.org/10.23880/oajg-16000264.

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TGD –Adults are transwomen and men with gender identity different from that assigned at birth. Unless they undergo sex reassignment surgery or medication their fertility is well preserved and they can reproduce. Presenting a case report of first transgender couple from Kerala, India with successful pregnancy and delivery.

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Bracher, Michael, and Gigi Santow. "Fertility desires and fertility outcomes." Journal of the Australian Population Association 8, no. 1 (May 1991): 33–49. http://dx.doi.org/10.1007/bf03029554.

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Apriwana, Cintami. "Pengaruh Faktor Sosial Ekonomi terhadap Tingkat Fertilitas di Kecamatan Tembalang Kota Semarang." Efficient: Indonesian Journal of Development Economics 2, no. 3 (December 9, 2019): 598–605. http://dx.doi.org/10.15294/efficient.v2i3.35952.

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Fertility is one of the causes of the high population in an area. The problem in this study showed the high level of fertility in Sub-district Tembalang, Semarang, although the population of the District Tembalang is a second largest population after the District Pedurungan. The subjects of this study were heads mother in Sub Tembalang. This study using a sample of 100 respondents of the total population which is 10.600 people The analytical tool used in this study is descriptive analysis and multiple linear regression by using SPSS software version 16.0.The results are obtain socioeconomic variables family income, education, age of first marriage are influential negative and significance on the level of fertility in Sub Tembalang, Semarang. Whereas the variable of working hours is not significant on the fertility rate. Suggestions relating to this study so that the authorities and field officers of PLKB in Sub-District Tembalang, hold a socialization for the society about the importance of marriage age maturation and improvement of education, so that the fertility can be reduced. Fertilitas merupakan salah satu penyebab tingginya jumlah penduduk di suatu daerah. Masalah dalam penelitian ini menunjukkan masih tingginya tingkat fertilitas di Kecamatan Tembalang Kota Semarang, meskipun jumlah penduduk di Kecamatan Tembalang berada pada posisi kedua penduduk terbesar setelah Kecamatan Pedurungan. Subjek penelitian ini ibu rumah tangga yang berada di Kecamatan Tembalang. Penelitian ini menggunakan sampel 100 responden dari keseluruhan jumlah populasi adalah 10.600 orang. Dari hasil penelitian diperoleh variabel sosial ekonomi pendapatan keluarga, pendidikan, usia kawin pertama berpengaruh negatif dan signifikan terhadap tingkat fertilitas di Kecamatan Tembalang Kota Semarang. Sedangkan variabel curah jam kerja tidak berpengaruh signifikan terhadap tingkat fertilitas. Saran yang berkaitan dengan penelitian ini supaya pihak pemerintah dan PLKB di Kecamatan Tembalang mengadakan sosialisasi kepada masyarakat mengenai pentingnya pendewasaan usia pernikahan dan peningkatan pendidikan, sehingga fertilitas dapat berkurang.

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Churilova, Elena V., Evgeny M. Andreev, Kirill O. Chertenkov, Pavel A. Kishenin, Olga A. Rodina, and Vera V. Sokolova. "Russian Fertility Database." Population and Economics 8, no. (4) (December 31, 2024): 138–49. https://doi.org/10.3897/popecon.8.e135073.

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The Russian Fertility Database contains a series of fertility indicators by birth order for Russia from 1946 to 2022, cohort fertility tables by birth order, and fertility rates by birth order for Russian women born between 1932 and 1988. All fertility indicators are calculated using data from official population statistics provided by the Federal State Statistics Service. The article describes the structure of the database, the source data, and the methodology of calculating period and cohort fertility rates, as well as cohort fertility tables by birth order. The Russian Fertility Database can be used for research, analytical materials, reports, presentations, as well as for educational purposes. The data allow us to analyze changes in the age profiles of fertility, the mean age at birth, the dynamics of the total fertility rate as period and cohort indicator for all birth orders combined and by birth order, parity distribution of women with specific number of children ever born and parity progression ratios. The data are in .xlsx format and are available on the web page: https://demogr.hse.ru/RFD.

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Tan, Seang Lin. "Fertility." Current Opinion in Obstetrics and Gynecology 8, no. 3 (June 1996): 159–60. http://dx.doi.org/10.1097/00001703-199606000-00001.

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Sondheimer, Steven J. "Fertility." Current Opinion in Obstetrics and Gynecology 9, no. 3 (June 1997): 145–46. http://dx.doi.org/10.1097/00001703-199706000-00001.

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Sondheimer, Steven J. "Fertility." Current Opinion in Obstetrics and Gynaecology 10, no. 3 (June 1998): 211. http://dx.doi.org/10.1097/00001703-199806000-00006.

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O'Driscoll, Muriel. "Fertility." Midwifery 13, no. 1 (March 1997): 49–50. http://dx.doi.org/10.1016/s0266-6138(97)90049-8.

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Aldhous, Peter, and Natalie DeWitt. "Fertility." Nature 432, no. 7013 (November 2004): 37. http://dx.doi.org/10.1038/432037a.

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Ottesen, Carol Clark. "Fertility." Dialogue: A Journal of Mormon Thought 32, no. 3 (October 1, 1999): 44. http://dx.doi.org/10.2307/45226610.

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Basten, Stuart, Tomáš Sobotka, Kryštof Zeman, M. Jalal Abbasi-Shavazi, Alicia Adsera, Jan Van Bavel, Caroline Berghammer, et al. "Future Fertility in Low Fertility Countries." Institut für Demographie - VID 1 (2021): 1–137. http://dx.doi.org/10.1553/0x003d06e2.

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Luo, Hao, and Zhuoyan Mao. "From Fertility Intention to Fertility Behaviour." Asian Population Studies 10, no. 2 (March 28, 2014): 195–207. http://dx.doi.org/10.1080/17441730.2014.902162.

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Schoen, Robert, Nan Marie Astone, Young J. Kim, Constance A. Nathanson, and Jason M. Fields. "Do Fertility Intentions Affect Fertility Behavior?" Journal of Marriage and the Family 61, no. 3 (August 1999): 790. http://dx.doi.org/10.2307/353578.

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Defandri, Wendi, Neng Murialti, and Muhammad Hidayat. "Analisis Penurunan Angka Kelahiran di Korea Selatan." COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat 3, no. 11 (March 25, 2024): 4728–36. http://dx.doi.org/10.59141/comserva.v3i11.1246.

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Penurunan total fertility rate di Korea Selatan sudah menduduki posisi terendah diseluruh dunia, di tahun 2022 total fertilty rate yakni 0.78 anak per wanita. Penelitian ini bertujuan melihat pengaruh jumlah perkawinan, jumlah penduduk lanjut usia, angkaperceraian, dan harga rumah terhadap total fertility rate di Korea Selatan. Dengan mengambil beberapa sample wilayah yakni kota metropolitan (???) Kwangju, Deajon, dan Ulsan. Kota pemerintahan sendiri khusus (?????) Sejong, Provinsi Gangwon (???),Provinsi Jeolla Utara (????), dan Provinsi pemerintahan sendiri khusus (?????) Jeju. Penelitian ini menggunakan data Statistik Korea (KOSIS ??????) dengan alat uji data panel (Pool data). Adapun hasil penelitian ini menunjukkan bahwa faktor dari penurunan total fertility rate di Korea Selatan yakni berkurangnya angka perkawinan dan melonjaknya penduduk lanjut usia.

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Kambou, KKA, SA Hema, M. Traore, B. Koulibaly, A. Wetzer, and AA Sanon. "Typologies et aptitudes agronomiques des sols des micro-bassins versants des communes de Koumbia et de Satiri, dans la zone soudanienne du Burkina Faso." Journal de la Recherche Scientifique de l’Université de Lomé 26, no. 2 (November 12, 2024): 11–23. http://dx.doi.org/10.4314/jrsul.v26i2.30.

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Au Burkina Faso les micro-bassins sont des zones à fortes potentialités agricoles. La présente étude vise à déterminer les différents types de sols et d’évaluer leurs potentialités agronomiques dans les microbassins des communes de Koumbia et de Satiri, respectivement dans les provinces du Tuy et du Houet au Burkina Faso. La description des sols a été faite suivant les normes FAO en vigueur et leurs niveaux de fertilité, selon la grille d’appréciation du Bureau National des Sols. Les résultats ont montré que dans la commune de Satiri, les micro-bassins sont dominés par des sols ferrugineux tropicaux lessivés à concrétions (28,99%), lessivés indurés peu profonds (26,16%) et les sols ferrugineux tropicaux lessivés indurés superficiels (22,80%). Dans la commune de Koumbia, huit (08) types de sols ont été identifiés dont les sols ferrugineux tropicaux lessivés indurés superficiels (28,60%), ferrugineux tropicaux lessivés indurés peu profonds (23,95%) et les sols hydromorphes peu humifères à pseudogley de surface (24,84%). La quasi-totalité des sols identifiés à Satiri ont montré un niveau de fertilité « moyen » ; tandis qu’à Koumbia, 65,49% des sols ont un niveau de fertilité « moyen » et 30,28%, un niveau de fertilité « très bas ». Ces résultats augurent des perspectives de mise en place des stratégies de gestion durable de la fertilité des sols à l’échelle des micro-bassins versants. In Burkina Faso, micro-watersheds are areas with high agricultural potential. The aim of this study is to determine the different types of soil and assess their agronomic suitability in the micro-basins of the communes of Koumbia and Satiri, respectively in the Tuy and Houet provinces of Burkina Faso. Soils were described according to current FAO standards, and their fertility levels according to the assessment scale of the National Soil Office. The results showed that in the commune of Satiri, the micro-basins are dominated by concretion leached tropical ferruginous soils (28.99%), shallow indurated leached soils (26.16%) and superficial indurated leached tropical ferruginous soils (22.80%). In the district of Koumbia, eight (08) soil types were identified, including superficial indurated leached tropical ferruginous soils (28.60%), shallow indurated leached tropical ferruginous soils (23.95%) and lowhumus hydromorphic soils with surface pseudogley (24.84%). Almost all the soils identified in Satiri showed an "medium" fertility level; while in Koumbia, 65.49% of soils had an "medium" fertility level and 30.28%, a "very low " fertility level. These results suggest that sustainable soil fertility management strategies can be implemented at the micro-watershed level.

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MAZHARUL ISLAM, M., and RADHESHYAM BAIRAGI. "FERTILITY INTENTIONS AND SUBSEQUENT FERTILITY BEHAVIOUR IN MATLAB: DO FERTILITY INTENTIONS MATTER?" Journal of Biosocial Science 35, no. 4 (October 2003): 615–19. http://dx.doi.org/10.1017/s0021932003006072.

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This study examines the extent of the interrelationship between future fertility intention and subsequent fertility behaviour in rural Bangladesh using longitudinal data. It confirms that fertility intention is an important predictor of subsequent fertility behaviour for rural Bangladeshi women. Women wanting no more children are over three times less likely to have a child during a 5-year follow-up than those wanting more children. A multivariate model using logistic regression shows that fertility intention is a useful indicator for fertility behaviour, when background and life-cycle variables are controlled. The different patterns of fertility intentions by socioeconomic and demographic subgroups suggest that different programme strategies should be designed for specific target groups.

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Zulkifli, Zulkifli, Amri Amri, and Eddy Munawar. "ANALISIS FERTILITAS DI PROVINSI ACEH." JURNAL PERSPEKTIF EKONOMI DARUSSALAM 6, no. 1 (March 15, 2020): 54–71. http://dx.doi.org/10.24815/jped.v6i1.16173.

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The purpose of this study is to find out the factors that affect the fertility of the women of childbearing age (WUS) in Aceh Province. The dependent variable used was fertility and the independent variables are Household Wealth, Residence (rural or urban), Age, Education,The Age of First Childbirth, and The Age of First Marriage. The data used are secondary data from Survey Demograsi dan Kesehatan Indonesia (SDKI) 2017 and analyzed using multiple linear regression model. The results showed that Age had a positive and significant effect, while the other independent variables namely Residence (rural or urban), Education, and the Age of the First Childbirth had significantly negative effect on Fertility. Moreover, there are two independent variable, Household Wealth and the Age of First Marriage, which had negative effect but did not significant. It is hoped by considering the results of this research, BKKBN is able to create a new program that could reach WUS in milenial era, and also improves socialization and knowledge about the ideal age of first childbirth to reduce fertility numbers.Keywords: Fertility, SDKI 2017,Women of Childbearing Age, the Age of First ChildbirthTujuan dari penelitian ini adalah untuk melihat faktor-faktor yang mempengaruhi fertilitas wanitAbstrakTujuan dari penelitian ini adalah untuk melihat faktor-faktor yang mempengaruhi fertilitas wanita usia subur (WUS) di Provinsi Aceh. Adapun variabel terikat yang digunakan yaitu Fertilitas dan variabel bebas yaitu Kekayaan Rumah Tangga, Tempat Tinggal (desa atau kota), Usia, Lama Sekolah, Usia Melahirkan Anak Pertama dan Usia Kawin Pertama. Data yang digunakan adalah data sekunder yaitu data Survey Demograsi dan Kesehatan Indonesia (SDKI) 2017 dengan menggunakan model regresi linear berganda. Hasil penelitian menunjukkan bahwa Usia berpengaruh positif dan signifikan, sedangkan variabel bebas lainnya yaitu Tempat Tinggal (desa atau kota), Lama Sekolah, dan Usia Melahirkan Anak Pertama berpengaruh negatif dan signifikan terhadap Fertilitas. Ada dua variabel bebas yaitu Kekayaan Rumah Tangga dan Usia Kawin Pertama yang berpengaruh negatif tapi tidak signifikan. Diharapkan pihak BKKBN dapat membuat program baru yang menyentuh WUS milenial, dan meningkatkan sosialisasi serta pengetahuan tentang usia melahirkan pertama yang ideal untuk menurunkan fertilitas. Kata Kunci: Fertilitas, SDKI 2017, Wanita Usia Subur, Umur Melahirkan Anak Pertama

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Bledsoe, Caroline H., René Houle, and Papa Sow. "High fertility Gambians in low fertility Spain." Demographic Research 16 (May 3, 2007): 375–412. http://dx.doi.org/10.4054/demres.2007.16.12.

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Beaujouan, Éva. "Late Fertility Intentions and Fertility in Austria." Institut für Demographie - VID 1 (2021): 1–37. http://dx.doi.org/10.1553/0x003ccd3c.

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Stoop, Dominic, Ana Cobo, and Sherman Silber. "Fertility preservation for age-related fertility decline." Lancet 384, no. 9950 (October 2014): 1311–19. http://dx.doi.org/10.1016/s0140-6736(14)61261-7.

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Diedrich, K., B. C. J. M. Fauser, and P. Devroey. "Cancer and fertility: strategies to preserve fertility." Reproductive BioMedicine Online 22, no. 3 (March 2011): 232–48. http://dx.doi.org/10.1016/j.rbmo.2010.11.001.

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Donnez, Jacques, Marie-Madeleine Dolmans, Antonio Pellicer, Cesar Diaz-Garcia, Erik Ernst, Kirsten T. Macklon, and Claus Yding Andersen. "Fertility preservation for age-related fertility decline." Lancet 385, no. 9967 (February 2015): 506–7. http://dx.doi.org/10.1016/s0140-6736(15)60198-2.

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Mol, Ben W., and Miriam Zoll. "Fertility preservation for age-related fertility decline." Lancet 385, no. 9967 (February 2015): 507. http://dx.doi.org/10.1016/s0140-6736(15)60199-4.

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Allgeier, Elizabeth Rice. "The Fertility of Research Ideas on Fertility." Contemporary Psychology: A Journal of Reviews 37, no. 9 (September 1992): 892–93. http://dx.doi.org/10.1037/032565.

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Kadir, Muhammad Jurhadi, Asis Asis, and Irmayani Irmayani. "Efek Penambahan Tepung Limbah Tauge dalam Ransum Terhadap Fertilitas dan Daya Tetas Telur Puyuh (Cortunix-cortunix japonica)." Tarjih Tropical Livestock Journal 2, no. 1 (June 1, 2022): 7–13. http://dx.doi.org/10.47030/trolija.v2i1.351.

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Penelitian ini bertujuan untuk mengetahui efek penambahan limbah tauge dengan level yang berbeda dalam ransum terhadap fertilitas dan daya tetas telur puyuh Menggunakan rancangan acak lengkap (RAL) dengan 4 taraf perlakuan dan 3 ulangan sehingga terdapat 12 unit percobaan, setiap unit percobaan terdiri dari 10 ekor puyuh dengan total 120 ekor puyuh. Masing-masing perlakuan terdiri atas P0: ransum tanpa limbah tauge (kontrol), P1: Ransum dengan limbah tauge 3%, P2: Ransum dengan limbah tauge 6%, P3: Ransum dengan limbah tauge 8%. Hasil analisis ragam menunjukkan bahwa penambahan tepung limbah tauge pada pakan puyuh dengan level yang berbeda berpengaruh nyata (p<0,05) terhadap fertilitas dan daya tetas telur puyuh. Rata rata fertilitas berkisar antara 86,67% - 100%. Sedangkan rata-rata daya tetas teur puyuh berkisar antara 65,28% - 86,67%.. Disimpulkan bahwa penambahan tepung limbah tauge dalam pakan puyuh berpengaruh nyata (p<0,05) terhadap fertilitas dan daya tetas telur puyuh . Perlakuan dengan konsentrasi 3% memberikan pengaruh terbaik terhadap fertilitas dan daya tetas telur puyuh. This study aims to determine the effect of adding bean sprouts with different levels in the ration on fertility and hatchability of quail eggs. Using a completely raqndomized design (CRD) with 4 treatment levels and 3 replications so that are 12 experimental units, each experimental unit consists of 10 quail with a total of 120 quail. Each treatment consisted of P0: ration without bean sprouts waste (control), P1: ration with 3 % bean sprouts waste, P2: ration with 6 % bean sprouts waste, P3; ration with 8 % bean sprouts waste. The results of the analysis of variance showed that the addition of bean sprouts waste flour to quail feed with different levels had a significant effect (P<0.05) on the fertility and hatchability of quail eggs. The average fertility ranged from 86.67 % - 100%. While the average hatcahibility of quail eggs ranged from 65.28% - 86.67%. it was concluded that the addition of bean flour in quail feed had a significant effect (P<0.05) on fertility and hatchability of quail eggs. Treatments with a concentration of 3% gave the besat effect on fertility and hatchability of quail eggs.

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Tisen, Tisen. "DESKRIPSI TINGKAT FERTILITAS TOTAL ( TOTAL FERTILITY RATE ) PROVINSI GORONTALO." Akademika : Jurnal Ilmiah Media Publikasi Ilmu Pengetahuan dan Teknologi 8, no. 1 (June 23, 2019): 1. http://dx.doi.org/10.31314/akademika.v8i1.292.

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The increase in TFR is predicted to have a negative impact on the Government and the community. The ASFR factor is one of the demographic factors that is closely related to TFR, the studied is to get a picture and control solution, especially in the Goron talo province. The data used in this paper is the data of Gorontalo Province’s SKAP 2018 in 2018, the population of this survey is WUS (15 to 49 years), families and adolescents aged 15 to 24 years are not married and house holds in sele cted clusters . The sampling design used stratified multistage sampling , with a total of 48 clusters selected . Each cluster was enumerated and 35 Eligible House hold were selected using the systematic random sampling technique to be interviewed. Survey results show Gorontalo Province TFR is 2.46 children per woman, increased by 2.43 percent compared to the results of the 2017 RPJMN Survey, higher than the National average TFR which reached 2.38. The highest TFR is closely related to the ASFR of 15 - 19 Years old group of 52 (52 births per 1000 women). The shift age with the highest fertility rates from 20 - 24 years to 25 - 29 years old, each shift age reached 142 and 150 births per 1000 women in each group. The high ASFR in the young age group has the potential to increase TFR.  Peningkatan TFR diprediksi mampu memberi dampak buruk bagi Pemerintah dan masyarakat sendiri. Faktor ASFR merupakan salah satu faktor demografi yang berkaitan erat dengan TFR sehingga diperlukan suatu kajian untuk mendapatkan gambaran dan solusi pengendalian khususnya di wilayah provinsi Gorontalo. Data yang digunakan dalam makalah ini merupakan data SKAP 2018 Provinsi Gorontalo Tahun 2018, populasi dari survei ini adalah WUS (15 Sampai 49 Tahun), keluarga dan remaja usia 15 sampai 24 Tahun belum menikah dan rumah tangga pada klaster terpilih. Rancangan sampling yang digunakan adalah stratified multistage sampling, dengan jumlah klaster terpilih sebanyak 48 klaster. Masing-masing klaster dilakukan pencacahan dan dipilih 35 Rumah Tangga Eligible dengan menggunakan teknik sistematic random sampling untuk diwawancarai. Hasil Survei menunjukkan TFR Provinsi Gorontalo adalah 2,46 anak per wanita, meningkat 2,43 persen dibanding dengan hasil Survei RPJMN 2017 lebih tinggi dibandingkan TFR rata-rata Nasional yang mencapai 2,38. Tingginya TFR ini berkaitan erat dengan ASFR kelompok umur 15-19 Tahun sebesar 52 (52 kelahiran setiap 1000 wanita). pergeseran usia dengan tingkat fertilitas tertinggi dari usia 20-24 Tahun menjadi usia 25-29 tahun, yang masingmasing mencapai 142 dan 150 kelahiran per 1000 wanita pada masing-masing kelompok. Tingginya ASFR pada kelompok usia muda berpotensi meningkatkan TFR.

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Prananda, Dio, Idris Idris, and Dewi Zaini Putri. "DAMPAK KESEHATAN TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA." Jurnal Ecogen 1, no. 3 (February 7, 2019): 578. http://dx.doi.org/10.24036/jmpe.v1i3.5028.

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This study aims to determine and analyze the impact of life expentacy, fertilitiy rates, morbidity rates, and investment on economic growth in Indonesia. This type of research is associative descriptive research, where the data used was secondary data from 1985 to 2015 obtained from related institutions, which are analyzed using the Ordinary Least Square (OLS) method. The findings of this study indicate that life expectancy, fertility rates, morbidity rates, and investment have a significant effect on economic growth in Indonesia. Keywords: life expectancy, fertility rates, morbidity rates, investment, and Ordinary Least Square (OLS)

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Salim, Lutfi Agus, Lutfan Lazuardi, and Kuntoro Kuntoro. "Smart Fert: Aplikasi Praktis, Valid, dan Mudah Untuk Mengukur Indikator Fertilitas di Era Otonomi Daerah." Populasi 25, no. 1 (January 19, 2018): 33. http://dx.doi.org/10.22146/jp.32365.

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Indikator fertilitas, seperti Crude Birth Rate (CBR), Total Fertility Rate (TFR), General Fertility Rate (GFR), dan Gross Reproductive Rate (GRR), untuk mengukur kinerja pengendalian penduduk setiap tahun di level kabupaten/kota sejak otonomi daerah sering tidak tersedia. Aplikasi sistem informasi fertilitas Smart Fert sebagai alat untuk mengukur indikator fertilitas yang praktis, valid, dan mudah diaplikasikan sangat layak untuk dikembangkan. Tujuan penelitian ini adalah mengembangkan aplikasi Smart Fert serta menguji hasil perhitungan indikator fertilitas dari aplikasi Smart Fert dibandingkan dengan perhitungan dari hasil Sensus Penduduk 2010. Penelitian ini merancang aplikasi Smart Fert berbasis bahasa visual basic. Untuk mengukur ketepatan dan kevalidan hasil perhitungan fertilitas dari aplikasi Smart Fert, maka hasilnya dibandingkan dengan standar yang baik, yaitu hasil Sensus Penduduk 2010. Hasil penelitian menunjukkan bahwa hasil perhitungan fertilitas dengan aplikasi Smart Fert tidak menunjukkan perbedaan signifikan dengan hasil metode langsung Sensus Penduduk 2010. Dengan demikian, aplikasi Smart Fert dapat dipakai sebagai alat penghitung indikator fertilitas yang praktis, valid, dan mudah diimplementasikan untuk mengukur kinerja pengendalian penduduk di tingkat kabupaten/kota.

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Knapp, Bettina L. "Fertility Dance." Performing Arts Journal 9, no. 1 (1985): 61. http://dx.doi.org/10.2307/3247814.

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Pagani, O. "Fertility preservation." Breast 56 (April 2021): S12. http://dx.doi.org/10.1016/s0960-9776(21)00078-3.

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Aizen, Icek, and Jane Klobas. "Fertility intentions." Demographic Research 29 (July 31, 2013): 203–32. http://dx.doi.org/10.4054/demres.2013.29.8.

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Jensen, Jani R., Dean E. Morbeck, and Charles C. Coddington. "Fertility Preservation." Mayo Clinic Proceedings 86, no. 1 (January 2011): 45–49. http://dx.doi.org/10.4065/mcp.2010.0564.

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Zhang, Lu, Li-Ying Yan, Xu Zhi, Jie Yan, and Jie Qiao. "Female Fertility." Chinese Medical Journal 128, no. 3 (February 2015): 390–97. http://dx.doi.org/10.4103/0366-6999.150115.

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Eckert, Donald J. "Soil Fertility." Journal of Environmental Quality 18, no. 4 (October 1989): 557–58. http://dx.doi.org/10.2134/jeq1989.00472425001800040035x.

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Keeble, Sally. "Fertility lottery." Nursing Standard 13, no. 37 (June 2, 1999): 22. http://dx.doi.org/10.7748/ns.13.37.22.s33.

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Fernandes, Liwy. "Fertility treatment." Nursing Standard 13, no. 49 (August 25, 1999): 14–15. http://dx.doi.org/10.7748/ns.13.49.14.s34.

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Marshall, Ariela L., Vineet M. Arora, and Arghavan Salles. "Physician Fertility." Academic Medicine 95, no. 5 (May 2020): 679–81. http://dx.doi.org/10.1097/acm.0000000000003079.

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Colinvaux, Paul, and C. F. Jordan. "Amazonian Fertility." Journal of Biogeography 18, no. 3 (May 1991): 358. http://dx.doi.org/10.2307/2845406.

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Love, C. C. "Fertility evaluation." Equine Veterinary Education 18, no. 3 (January 5, 2010): 165–67. http://dx.doi.org/10.1111/j.2042-3292.2006.tb00438.x.

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Mitteldorf, J. "Declining Fertility." Science 282, no. 5393 (November 20, 1998): 1419b—1419. http://dx.doi.org/10.1126/science.282.5393.1419b.

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Ahmed, Syed D. H., Shahid Ahsan, and Syed I. A. Burney. "Male fertility." Human Andrology 3, no. 3 (September 2013): 76–80. http://dx.doi.org/10.1097/01.xha.0000432480.17007.64.

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&NA;. "Fertility Rates." Journal of Occupational and Environmental Medicine 42, no. 8 (August 2000): 782. http://dx.doi.org/10.1097/00043764-200008000-00003.

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Wright, Karen. "Fertility Rites." Scientific American 259, no. 6 (December 1988): 14. http://dx.doi.org/10.1038/scientificamerican1288-14a.

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Doyle, Rodger. "Fertility Volatility." Scientific American 289, no. 3 (September 2003): 38–40. http://dx.doi.org/10.1038/scientificamerican0903-38.

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SASTRY, G. R. K. "Fertility symbols?" Nature 333, no. 6170 (May 1988): 202. http://dx.doi.org/10.1038/333202d0.

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Pearce, Lynne. "Fertility preservation." Nursing Standard 31, no. 41 (June 7, 2017): 15. http://dx.doi.org/10.7748/ns.31.41.15.s16.

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