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Journal articles on the topic 'Age factors'

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Published: 4 June 2021
Last updated: 31 July 2024

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1

&NA;. "DEMOGRAPHIC FACTORS: AGE." Journal of Trauma: Injury, Infection, and Critical Care 51, Supplement (August 2001): S51—S52. http://dx.doi.org/10.1097/00005373-200108001-00013.

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2

Liu, S., J. Huang, X. Wang, and Y. Ma. "Transcription factors regulate adipocyte differentiation in beef cattle." Animal Genetics 51, no. 3 (April 6, 2020): 351–57. http://dx.doi.org/10.1111/age.12931.

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3

Sánchez-Andrés, A. "Genetic and environmental factors affecting menarcheal age in Spanish women." Anthropologischer Anzeiger 55, no. 1 (March 1, 1997): 69–78. http://dx.doi.org/10.1127/anthranz/55/1997/69.

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4

ABH, Parenti. "Factors Associated with Bacterial Vaginosis in Women of Reproductive Age." Open Access Journal of Gynecology 8, no. 3 (July 5, 2023): 1–8. http://dx.doi.org/10.23880/oajg-16000263.

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The BV is the most prevalent alteration of the vaginal microbiota and constitutes an important public health problem, the prevalence varies by age, ethnicity, socioeconomic factors, and geographic region and the risk factors associated with this condition, are included the number of sexual partners, the use of the intrauterine device, use of vaginal douche, hygiene habits and sexual practices/behaviors. To determine the prevalence and factors associated with bacterial vaginosis in women of reproductive age. Cross-sectional study was developed in Botucatu, Brazil, including 315 women. Data were obtained by applying a questionnaire and gynecological examination, with sample collection for analysis of the vaginal microbiota pattern, according to the Nugent scoring system. The association between independent variables and outcome was performed using a regression model. The variables that most influenced the outcome (p<0.20) were taken to the multiple logistic regression model and those independently associated with the outcome (p<0.05) were identified. The prevalence of bacterial vaginosis was 32% (101/315) and the associated variables were: not living with a partner [1.13(1.02-1.25), p=0.021], use of vaginal douche [1.42(1.22-1.64), p=0.000] and genital hair removal [1.19(1.01-1.42), p=0.042]. Results point to the importance of screening for this vaginal dysbiosis in routine gynecological care and suggest the importance of health professionals conducting guidance on proper intimate hygiene practices for women.
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5

McIntosh, G. C., and M. L. Katcher. "Pediatric Drowning: Age-related Factors." AAP Grand Rounds 11, no. 2 (February 1, 2004): 20–21. http://dx.doi.org/10.1542/gr.11-2-20.

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6

Boyland, E. "Age-related factors in carcinogenesis." Occupational and Environmental Medicine 43, no. 7 (July 1, 1986): 504. http://dx.doi.org/10.1136/oem.43.7.504.

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7

Burgess, Ann Wolbert, Allen G. Burgess, Steven A. Koehler, Joseph Dominick, and Cyril H. Wecht. "Age-Based Factors in Femicide." Journal of Forensic Nursing 1, no. 4 (June 28, 2008): 151–57. http://dx.doi.org/10.1111/j.1939-3938.2005.tb00037.x.

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8

Burgess, Ann Wolbert, Allen G. Burgess, Steven A. Koehler, Joseph Dominick, and Cyril H. Wecht. "Age-Based Factors in Femicide." Journal of Forensic Nursing 1, no. 4 (December 2005): 151–57. http://dx.doi.org/10.1097/01263942-200512000-00002.

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9

Moriarty, F. "Age-related factors in carcinogenesis." Environmental Pollution Series A, Ecological and Biological 42, no. 2 (January 1986): 184. http://dx.doi.org/10.1016/0143-1471(86)90009-7.

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10

Lilleyman, J. "Age-Related Factors in Carcinogenesis." Journal of Clinical Pathology 39, no. 8 (August 1, 1986): 930. http://dx.doi.org/10.1136/jcp.39.8.930-b.

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11

Keck and Breckwoldt. "Predictive factors determining menopausal age." Therapeutische Umschau 59, no. 4 (April 1, 2002): 189–92. http://dx.doi.org/10.1024/0040-5930.59.4.189.

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Das durchschnittliche Menopausealter liegt in Mitteleuropa bei 52 Jahren. Damit beträgt die postmenopausale Phase im Leben einer Frau rund 30 Jahre. Es hätte für die individuelle Lebensplanung enorme Konsequenzen, wenn es möglich wäre, den wahrscheinlichen Zeitpunkt der Menopause vorherzusagen. Dies könnte Entscheidungen zur Familienplanung, zur Sterilitätstherapie bzw. zum Beginn einer Hormonersatztherapie (Hormonal Replacement Therapy, HRT) beeinflussen. Es gibt zahlreiche Assoziationen zwischen dem Menopausealter und sozioökonomischen/epidemiologischen Faktoren. So besteht ein gesicherter Zusammenhang zwischen Zigarettenkonsum und dem frühzeitigen Eintritt der Menopause. Ebenso ist das Menopausealter vom Ernährungsstgatus abhängig. Strittig ist die Assoziation zu generativen Faktoren und sozioökonomischen Faktoren wie Verheirateten-Status und Zugehörigkeit zu einer Gesellschaftsschicht.
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12

Matika, O., S. C. Bishop, R. Pong-Wong, V. Riggio, and D. J. Headon. "Genetic factors controlling wool shedding in a composite Easycare sheep flock." Animal Genetics 44, no. 6 (July 10, 2013): 742–49. http://dx.doi.org/10.1111/age.12070.

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13

Fritz, K. L., H. J. Kaese, S. J. Valberg, J. A. Hendrickson, A. K. Rendahl, R. R. Bellone, K. M. Dynes, et al. "Genetic risk factors for insidious equine recurrent uveitis in Appaloosa horses." Animal Genetics 45, no. 3 (January 28, 2014): 392–99. http://dx.doi.org/10.1111/age.12129.

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14

Nieczuja-Dwojacka, Joanna, Anna Siniarska, Sławomir Kozieł, Justyna Marchewka, and Renata Zabłocka. "Age at maturation, body structure and their relationship with socioeconomic factors." Anthropologischer Anzeiger 75, no. 4 (December 11, 2018): 263–70. http://dx.doi.org/10.1127/anthranz/2018/0873.

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15

Szwed, Anita, Aleksandra John, Zbigniew Czapla, and Magdalena Kosińska. "Influence of socioeconomic factors on age at menarche of Polish girls." Anthropologischer Anzeiger 70, no. 4 (December 1, 2013): 455–70. http://dx.doi.org/10.1127/0003-5548/2013/0338.

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16

Bavaasan, Enkhjargal, and Dariimaa Surenjav. "Parkinson's disease risk factors and age." Journal of the Neurological Sciences 429 (October 2021): 119464. http://dx.doi.org/10.1016/j.jns.2021.119464.

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17

PISAREV, A. V. "Factors of Employment in Retirement Age." Sociological Research 45, no. 1 (February 2006): 59–77. http://dx.doi.org/10.2753/sor1061-0154450104.

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18

Millichap, J. Gordon. "Age Factors and Antiepileptic Drug Withdrawal." Pediatric Neurology Briefs 9, no. 12 (December 1, 1995): 90. http://dx.doi.org/10.15844/pedneurbriefs-9-12-2.

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19

Tomatis, L. "Age and poverty as risk factors." Environmental Health Perspectives 102, no. 8 (August 1994): 620. http://dx.doi.org/10.1289/ehp.94102620.

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20

Hervé, Catherine, and Etienne Mullet. "Age and factors influencing consumer behaviour." International Journal of Consumer Studies 33, no. 3 (May 2009): 302–8. http://dx.doi.org/10.1111/j.1470-6431.2009.00743.x.

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21

Hodge, William G., John P. Whitcher, and William Satariano. "Risk Factors for Age-related Cataracts." Epidemiologic Reviews 17, no. 2 (1995): 336–46. http://dx.doi.org/10.1093/oxfordjournals.epirev.a036197.

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22

Connell, Paul P., Pearse A. Keane, Evelyn C. O'Neill, Rasha W. Altaie, Edward Loane, Kumari Neelam, John M. Nolan, and Stephen Beatty. "Risk Factors for Age-Related Maculopathy." Journal of Ophthalmology 2009 (2009): 1–39. http://dx.doi.org/10.1155/2009/360764.

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Age-related maculopathy (ARM) is the leading cause of blindness in the elderly. Although beneficial therapeutic strategies have recently begun to emerge, much remains unclear regarding the etiopathogenesis of this disorder. Epidemiologic studies have enhanced our understanding of ARM, but the data, often conflicting, has led to difficulties with drawing firm conclusions with respect to risk for this condition. As a consequence, we saw a need to assimilate the published findings with respect to risk factors for ARM, through a review of the literature appraising results from published cross-sectional studies, prospective cohort studies, case series, and case control studies investigating risk for this condition. Our review shows that, to date, and across a spectrum of epidemiologic study designs, only age, cigarette smoking, and family history of ARM have been consistently demonstrated to represent risk for this condition. In addition, genetic studies have recently implicated many genes in the pathogenesis of age-related maculopathy, including Complement Factor H, PLEKHA 1, and LOC387715/HTRA1, demonstrating that environmental and genetic factors are important for the development of ARM suggesting that gene-environment interaction plays an important role in the pathogenesis of this condition.
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23

Keel, Stuart, and Mingguang He. "Risk factors for age-related cataract." Clinical & Experimental Ophthalmology 46, no. 4 (May 2018): 327–28. http://dx.doi.org/10.1111/ceo.13309.

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24

SHAW, D. "AMBLYOPIA?FACTORS INFLUENCING AGE OF PRESENTATION." Lancet 332, no. 8604 (July 1988): 207–9. http://dx.doi.org/10.1016/s0140-6736(88)92301-x.

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25

Auger, J., and P. Jouannet. "Age and male fertility: biological factors." Revue d'Épidémiologie et de Santé Publique 53 (November 2005): 25–35. http://dx.doi.org/10.1016/s0398-7620(05)84765-0.

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26

Mehraban, Z. "6 MENOPAUSAL AGE AND CAUSAL FACTORS." Maturitas 71 (March 2012): S29. http://dx.doi.org/10.1016/s0378-5122(12)70117-2.

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27

Deo, Deepali S., and C. H. Gattarji. "Age at menarche and associated factors." Indian Journal of Pediatrics 71, no. 6 (June 2004): 565–66. http://dx.doi.org/10.1007/bf02724307.

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28

Lewin, R. "Age factors loom in parkinsonian research." Science 234, no. 4781 (December 5, 1986): 1200–1201. http://dx.doi.org/10.1126/science.3490694.

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29

WALSH, NANCY. "Middle-Age Factors Predict Fracture Risk." Family Practice News 36, no. 13 (July 2006): 21. http://dx.doi.org/10.1016/s0300-7073(06)73441-7.

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30

O'Mahony, M. S., and K. W. Woodhouse. "Age, environmental factors and drug metabolism." Pharmacology & Therapeutics 61, no. 1-2 (1994): 279–87. http://dx.doi.org/10.1016/0163-7258(94)90066-3.

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31

Ward, Dean. "Biological age and aging risk factors." Archives of Gerontology and Geriatrics 10, no. 3 (May 1990): 313–15. http://dx.doi.org/10.1016/0167-4943(90)90034-4.

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32

McCarty, Catherine A. "Risk Factors for Age-Related Maculopathy." Archives of Ophthalmology 119, no. 10 (October 1, 2001): 1455. http://dx.doi.org/10.1001/archopht.119.10.1455.

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33

Canales, Elizabeth, Jason S. Bergtold, and Jeffery R. Williams. "Modeling the Choice of Tillage Used for Dryland Corn, Wheat and Soybean Production by Farmers in Kansas." Agricultural and Resource Economics Review 47, no. 1 (January 9, 2018): 90–117. http://dx.doi.org/10.1017/age.2017.23.

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Conservation tillage offers economic and soil quality benefits, yet conventional tillage remains the prevailing system in some regions. The purpose of this study is to identify the effect of profitability factors, risk attitudes, crop rotations, and other farmer and farm characteristics on farmers’ choices to use no-till (NT), strip-till (ST) and reduced/conventional tillage (RCT) in producing dryland corn, wheat, and soybean in Kansas. The results show that factors such as crop yields, risk aversion, crop insurance, baling and grazing of crop residue, crop acreage, and farmers’ approach to adopting new technologies are significant factors in farmers’ choice of tillage practice.
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34

Orden, Alicia B., Agustina Vericat, and María C. Apezteguía. "Age at menarche in urban Argentinian girls: association with biological and socioeconomic factors." Anthropologischer Anzeiger 68, no. 3 (July 1, 2011): 309–22. http://dx.doi.org/10.1127/0003-5548/2011/0109.

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35

Ledovskaya, T. V. "Факторы выбора брачного партнера на разных возрастных этапах." Вестник Вятского государственного университета, no. 3(141) (November 30, 2021): 131–38. http://dx.doi.org/10.25730/vsu.7606.21.040.

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The article reveals the relevance and interdisciplinarity of the problem of choosing a marriage partner. The relevance of the study is due to the fact that currently there are particularly acute questions regarding the state of human health, both physical and mental. The main qualitative characteristics of the health capital are laid down at the micro level – in the family. The aim of the study is to identify the dominant factors of choosing a marriage partner at various age stages, as well as to identify unproductive factors that lead to the destruction of marriage. Theoretical analysis of the problem has shown that the factor of choosing a marriage partner is a driving force, an essential circumstance, the reason for choosing a specific partner in order to create a marriage. A set of interdisciplinary methods was used to conduct an empirical study: a questionnaire, the methodology "Role expectations and claims in marriage" by A. N. Volkov, an in-depth interview "Harmonious marriage", a metaphor for the concept of "Family", a projective technique based on the painting by I. Morsky "Girl with a paddle". It was found that the main factors in choosing a marriage partner are intimate-sexual, the factor of desired genetic traits, coordinated interaction, love, a sense of duty (pregnancy), merging with a partner, procreation, desired genetic traits, a sober and healthy life and the attraction factor of opposites. The factors of choosing a marriage partner at different age stages in women were revealed. For the age stage from 18 to 25 years, the most significant factors in choosing a marriage partner are emotional and psychotherapeutic, the desire to have your own home, partner empathy, recreating your own position among parents, financial calculation, sense of duty (pregnancy); for the age stage from 26 to 39 years - procreation, suitable age, desire to have a permanent sexual partner; for the age stage from 40 to 59 years – social activity, procreation, sober and healthy life, sense of duty; for the age stage from 60 years and older - procreation, suitable age, the desire to have your own home, partner empathy, the attraction factor of opposites. The results of the study made it possible to develop an educational program for girls from 18 to 25 years of age "Choosing a marriage partner". В статье раскрывается актуальность, междисциплинарность проблемы выбора брачного партнера. Актуальность исследования обусловлена тем, что в настоящее время особо остро встают вопросы касаемо состояния здоровья человека, как физического, так и психического. Основные качественные характеристики капитала здоровья закладываются на микроуровне – в семье. Цель исследования – выявить доминирующие факторы выбора брачного партнера на различных возрастных этапах, а также определить непродуктивные факторы, которые приводят к разрушению брака. Теоретический анализ проблемы показал, что фактор выбора брачного партнера - это движущая сила, существенное обстоятельство, причина выбора конкретного партнера с целью создания брака. Для проведения эмпирического исследования использовался комплекс междисциплинарных методов: анкетирование, методика «Ролевые ожидания и притязания в браке» А. Н. Волкова, глубинное интервью «Гармоничный брак», метафора к понятию «Семья», проективная методика по картине И. Морски «Девушка с веслом». Было установлено, что основными факторами выбора брачного партнера являются интимно-сексуальный, фактор желаемых генетических признаков, взаимодействие согласованное, любовь, чувство долга (беременность), слияние с партнером, продолжение рода, желаемые генетические признаки, трезвая и здоровая жизнь и фактор притяжения противоположностей. Выявлены факторы выбора брачного партнера на разных возрастных этапах у женщин. Для возрастного этапа от 18 до 25 лет наиболее значимыми факторами выбора брачного партнера являются эмоционально-психотерапевтический, желание иметь свой дом, эмпатия партнера, воссоздание собственного положения среди родителей, материальный расчёт, чувство долга (беременность); для возрастного этапа от 26 до 39 лет – продолжение рода, подходящий возраст, желание иметь постоянного сексуального партнера; для возрастного этапа от 40 до 59 лет – социальная активность, продолжение рода, трезвая и здоровая жизнь, чувство долга; для возрастного этапа от 60 лет и старше – продолжение рода, подходящий возраст, желание иметь свой дом, эмпатия партнера, фактор притяжения противоположностей. Результаты исследования позволили разработать программу просветительской направленности для девушек от 18 до 25 лет «Выбор брачного партнера».
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36

Tomatis, Lorenzo. "Editorial: Age and Poverty as Risk Factors." Environmental Health Perspectives 102, no. 8 (August 1994): 620. http://dx.doi.org/10.2307/3432185.

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37

Widerszal-Bazyl, Maria, and Elżbieta Wołodźko. "Factors influencing effectiveness of age diverse teams." Occupational Safety ? Science and Practice 545, no. 2 (February 1, 2017): 16–19. http://dx.doi.org/10.5604/01377043.1231500.

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In this article three social psychology theories that allow to predict effectiveness of age diverse teams were presented shortly. Then a cycle of German studies that have identified factors influencing the relationship between age diversity and teams effectiveness were reviewed. The above factors were respectively discussed. They were: age saliance, age stereotypes, task complexity, age discrimination, appreciation of age diversity, ergonomic working conditions. Practical implications of the cycle of studies were presented.
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38

Moon, Il Joon, Hayoung Byun, Sook-young Woo, Geum-Youn Gwak, Sung Hwa Hong, Won-Ho Chung, and Yang-Sun Cho. "Factors Associated With Age-related Hearing Impairment." Medicine 94, no. 43 (October 2015): e1846. http://dx.doi.org/10.1097/md.0000000000001846.

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39

Spraul, C. W., G. E. Lang, H. E. Grossniklaus, and G. K. Lang. "Growth Factors in Age-Related Macular Degeneration." Ophthalmic Research 31, no. 3 (1999): 243–44. http://dx.doi.org/10.1159/000055539.

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40

Yeh, Harry. "Gender and Age Factors in Tsunami Casualties." Natural Hazards Review 11, no. 1 (February 2010): 29–34. http://dx.doi.org/10.1061/(asce)1527-6988(2010)11:1(29).

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41

ANDERSEN, LARS B., and JOHANNA HARALDSD??TTIR. "Changes in CHD risk factors with age." Medicine and Science in Sports and Exercise 26, no. 8 (August 1994): 967???972. http://dx.doi.org/10.1249/00005768-199408000-00006.

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42

Hänninen, Osmo. "Age and Exposure Factors in Drug Metabolism." Acta Pharmacologica et Toxicologica 36 (March 13, 2009): 3–20. http://dx.doi.org/10.1111/j.1600-0773.1975.tb03075.x.

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43

Evans, Jennifer R. "Risk Factors for Age-related Macular Degeneration." Progress in Retinal and Eye Research 20, no. 2 (March 2001): 227–53. http://dx.doi.org/10.1016/s1350-9462(00)00023-9.

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44

Hsu, Daphne T. "Age-related factors in child heart transplants." Progress in Pediatric Cardiology 23, no. 1-2 (September 2007): 73–79. http://dx.doi.org/10.1016/j.ppedcard.2007.05.011.

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45

Smith, Wayne, Jacqueline Assink, Ronald Klein, Paul Mitchell, Caroline C. W. Klaver, Barbara E. K. Klein, Albert Hofman, Susan Jensen, Jie Jin Wang, and Paulus T. V. M. de Jong. "Risk factors for age-related macular degeneration." Ophthalmology 108, no. 4 (April 2001): 697–704. http://dx.doi.org/10.1016/s0161-6420(00)00580-7.

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46

Tuo, Jingsheng, Christine M. Bojanowski, and Chi-Chao Chan. "Genetic factors of age-related macular degeneration." Progress in Retinal and Eye Research 23, no. 2 (March 2004): 229–49. http://dx.doi.org/10.1016/j.preteyeres.2004.02.001.

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47

McDonough, Paul G., Moshe Royburt, Ori Avrech, and Benjamin Fisch. "Age Related Decline in Female Fertility—Factors?" Fertility and Sterility 62, no. 5 (November 1994): 1092–94. http://dx.doi.org/10.1016/s0015-0282(16)57086-1.

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48

Stanford, Janet L., Patricia Hartge, Louise A. Brinton, Robert N. Hoover, and Ronald Brookmeyer. "Factors influencing the age at natural menopause." Journal of Chronic Diseases 40, no. 11 (January 1987): 995–1002. http://dx.doi.org/10.1016/0021-9681(87)90113-5.

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49

Balasubramanian, Priya, and Valter D. Longo. "Growth factors, aging and age-related diseases." Growth Hormone & IGF Research 28 (June 2016): 66–68. http://dx.doi.org/10.1016/j.ghir.2016.01.001.

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50

TSUKAMOTO, HIROKO, HIDEOKI FUKUOKA, MIEKO KOYASU, YASUSHI NAGAI, and HIDEMI TAKIMOTO. "Risk factors for small for gestational age." Pediatrics International 49, no. 6 (December 2007): 985–90. http://dx.doi.org/10.1111/j.1442-200x.2007.02494.x.

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