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      Changes in the proportion of anemia among young women after the Great East Japan Earthquake: the Fukushima health management survey

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          Abstract

          This study aimed to evaluate the sequential changes in the proportion of anemia among young women over eight years after the Great East Japan Earthquake in 2011 using a prospective study of the Fukushima Health Management Survey. This study focused on the women aged between 20 and 44 who lived in the evacuation area of the nuclear power plant accident. The yearly age-adjusted proportion of anemia was accessed with data between July 2011 and March 2019. A total of 9,198 women participated in the health checkup in 2011, albeit the participation was decreased to 1,241 in 2018. The age-adjusted proportion of anemia was 16.7% in 2012 and then declined after 2013 ( p with Cochran-Armitage trend test = 0.03). The multivariate regression analysis identified < 23 kg/m 2 of body mass index (BMI), no history of smoking, and no habitual alcohol use as independent baseline characteristics predictive of temporality anemic condition after the disaster (Adjusted odds ratios [95% confidence interval]; 1.98 [1.43–2.74], 1.85 [1.21–2.83], and 1.42 [1.07–1.90], respectively). Thus, women with low BMI and healthier habits might risk temporarily anemic status after the disaster. Our findings signal the importance of preventing anemia in young women after the disaster.

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          Iron-deficiency anemia.

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            Iron bioavailability and dietary reference values.

            Iron differs from other minerals because iron balance in the human body is regulated by absorption only because there is no physiologic mechanism for excretion. On the basis of intake data and isotope studies, iron bioavailability has been estimated to be in the range of 14-18% for mixed diets and 5-12% for vegetarian diets in subjects with no iron stores, and these values have been used to generate dietary reference values for all population groups. Dietary factors that influence iron absorption, such as phytate, polyphenols, calcium, ascorbic acid, and muscle tissue, have been shown repeatedly to influence iron absorption in single-meal isotope studies, whereas in multimeal studies with a varied diet and multiple inhibitors and enhancers, the effect of single components has been, as expected, more modest. The importance of fortification iron and food additives such as erythorbic acid on iron bioavailability from a mixed diet needs clarification. The influence of vitamin A, carotenoids, and nondigestible carbohydrates on iron absorption and the nature of the "meat factor" remain unresolved. The iron status of the individual and other host factors, such as obesity, play a key role in iron bioavailability, and iron status generally has a greater effect than diet composition. It would therefore be timely to develop a range of iron bioavailability factors based not only on diet composition but also on subject characteristics, such as iron status and prevalence of obesity.
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              Variation in the incidence of uterine leiomyoma among premenopausal women by age and race.

              To quantify the incidence of uterine leiomyoma confirmed by hysterectomy, ultrasound, or pelvic examination according to age and race among premenopausal women. From September 1989 through May 1993, 95,061 premenopausal nurses age 25-44 with intact uteri and no history of uterine leiomyoma were followed to determine incidence rates of uterine leiomyoma. The self-reported diagnosis was confirmed in 93% of the medical records obtained for a sample of cases. Using pooled logistic regression, we estimated relative risks (RRs) of uterine leiomyoma according to race and examined whether adjustment for other potential risk factors could explain the variation in the race-specific rates. During 327,065 woman-years, 4181 new cases of uterine leiomyoma were reported. The incidence rates increased with age, and the age-standardized rates of ultrasound- or hysterectomy-confirmed diagnoses per 1000 woman-years were 8.9 among white women and 30.6 among black women. After further adjustment for marital status, body mass index, age at first birth, years since last birth, history of infertility, age at first oral contraceptive use, and current alcohol consumption, the rates among black women were significantly greater for diagnoses confirmed by ultrasound or hysterectomy (RR 3.25; 95% confidence interval [CI] 2.71, 3.88) and by hysterectomy (RR 1.82; 95% CI 1.17, 2.82) compared with rates among white women. We observed similar RRs when the cohort was restricted to participants who reported undergoing a screening physical examination within the 2 years before baseline. A higher prevalence of known risk factors did not explain the excess rate of uterine leiomyoma among premenopausal black women.
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                Author and article information

                Contributors
                kanachan.y.0508@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 June 2022
                25 June 2022
                2022
                : 12
                : 10805
                Affiliations
                [1 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Department of Internal Medicine, Graduate School of Medicine, , The University of Tokyo, ; Minato, Tokyo 108-0071 Japan
                [2 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Radiation Health Management, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [3 ]Department of Internal Medicine, Navitas Clinic Tachikawa, Tachikawa, Tokyo 190-0023 Japan
                [4 ]GRID grid.508099.d, ISNI 0000 0004 7593 2806, Department of Internal Medicine, , Medical Governance Research Institute, ; Minato, Tokyo 108-0074 Japan
                [5 ]Department of Internal Medicine, Yoshinobu Clinic, Kagoshima, 890-0063 Japan
                [6 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [7 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Epidemiology, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [8 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Disaster Psychology, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [9 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Public Health, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [10 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Radiation Life Sciences, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [11 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Pediatrics, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [12 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Neuropsychiatry, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [13 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Division of Cellular Therapy, , The Institute of Medical Science, The University of Tokyo, ; Minato, Tokyo 108-0071 Japan
                [14 ]GRID grid.411582.b, ISNI 0000 0001 1017 9540, Department of Diabetes, Endocrinology and Metabolism School of Medicine, , Fukushima Medical University, ; Fukushima, Fukushima 960-1295 Japan
                [15 ]GRID grid.257022.0, ISNI 0000 0000 8711 3200, Research Institute for Radiation Biology and Medicine, , Hiroshima University, ; Hiroshima, 734-8553 Japan
                Article
                14992
                10.1038/s41598-022-14992-3
                9233683
                35752644
                02e451d5-69a8-45c1-b78f-c0aab35d302c
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 October 2021
                : 16 May 2022
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                © The Author(s) 2022

                Uncategorized
                natural hazards,health care,medical research
                Uncategorized
                natural hazards, health care, medical research

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