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24. Prevalence of Sarcopenia in Africa: A Systematic Review

Author

Mballa Yene,Bryan Vincent, Lee,Sang-Yeob, Park,Ki-Soo, Kang,Yang Jae, Seo,Sung Hyo, Yoo,Jun-Il, Mballa Yene,Bryan Vincent, Lee,Sang-Yeob, Park,Ki-Soo, Kang,Yang Jae, Seo,Sung Hyo, and Yoo,Jun-Il

Abstract

Bryan Vincent Mballa Yene,1 Sang-Yeob Lee,2 Ki-Soo Park,3 Yang Jae Kang,4 Sung Hyo Seo,2 Jun-Il Yoo5 1Department of Bio & Medical Big Data, Gyeongsang National University Hospital, Jinju, South Korea; 2Department of Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, South Korea; 3Department of Preventive Medicine, School of Medicine, Gyeongsang National University, Jinju, South Korea; 4Division of Life Science Department, Gyeongsang National University, Jinju, South Korea; 5Department of Orthopaedic Surgery, Inha University Hospital, Incheon, South KoreaCorrespondence: Jun-Il Yoo, Department of Orthopaedic Surgery, Inha University Hospital, 27 Inhang-ro, Jung-gu, Incheon, 22332, South Korea, Tel +82-32-890-3663, Email furim@hanmail.netObjective: The world population gradually getting older, age-related sarcopenia is becoming more frequent. Known to be highly prevalent in high income countries, relative data in Africa are still scarce. This review aims to estimate the prevalence of sarcopenia in Africa and its characteristics.Study Design and Setting: A literature search in PubMed, Web of Science, Google Scholar, and Scopus was conducted in October 2022. All studies reporting the prevalence of sarcopenia in Africa within 15 years were included, and we did an assessment of bias with Hoy et al’s risk bias assessment tool. The estimated prevalence of sarcopenia was the outcome and we performed secondary analyses by age, gender, and diagnostic criteria. The random effect model was used for the prevalence estimation. The prevalence of sarcopenia and 95% confidence interval (95% CI) were calculated using the inverse-variance method.Results: A total of 17 studies met our eligibility criteria, for a study population of 12,690 participants with 44.3% males and 55.7% females. The overall prevalence of sarcopenia was 25% (95% CI: 19– 30%). The prevalence of sarcopenia among 50 years old and older was 23% (95% CI: 17– 29%). We had a higher p

Published
2023

28. Prevalence of Sarcopenia in Africa: A Systematic Review.

Author

Yene, Bryan Vincent Mballa, Lee, Sang-Yeob, Park, Ki-Soo, Kang, Yang Jae, Seo, Sung Hyo, and Yoo, Jun-Il

Subjects
SARCOPENIA, HIGH-income countries, RANDOM effects model
Abstract

The world population gradually getting older, age-related sarcopenia is becoming more frequent. Known to be highly prevalent in high income countries, relative data in Africa are still scarce. This review aims to estimate the prevalence of sarcopenia in Africa and its characteristics.Study Design and Setting: A literature search in PubMed, Web of Science, Google Scholar, and Scopus was conducted in October 2022. All studies reporting the prevalence of sarcopenia in Africa within 15 years were included, and we did an assessment of bias with Hoy et al's risk bias assessment tool. The estimated prevalence of sarcopenia was the outcome and we performed secondary analyses by age, gender, and diagnostic criteria. The random effect model was used for the prevalence estimation. The prevalence of sarcopenia and 95% confidence interval (95% CI) were calculated using the inverse-variance method.Results: A total of 17 studies met our eligibility criteria, for a study population of 12,690 participants with 44.3% males and 55.7% females. The overall prevalence of sarcopenia was 25% (95% CI: 19– 30%). The prevalence of sarcopenia among 50 years old and older was 23% (95% CI: 17– 29%). We had a higher prevalence of sarcopenia among males (30%, %95 IC: 20– 39%) than females (29%, %95 IC: 21– 36%). The prevalence of sarcopenia was different depending on the diagnosis criteria used.Conclusion: The prevalence of sarcopenia in Africa was relatively high. However, the fact that the majority of included studies were hospital-based studies shows the necessity of further community-based studies in order to have a more accurate representation of the situation in the general population. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Whole-genome sequencing and intensive analysis of the undomesticated soybean (Glycine soja Sieb. and Zucc.) genome

Author

Kim, Moon Young, Lee, Sunghoon, Van, Kyujung, Kim, Tae-Hyung, Jeong, Soon-Chun, Choi, Ik-Young, Kim, Dae-Soo, Lee, Yong-Seok, Park, Daeui, Ma, Jianxin, Kim, Woo-Yeon, Kim, Byoung-Chul, Park, Sungjin, Lee, Kyung-A, Kim, Dong Hyun, Kim, Kil Hyun, Shin, Jin Hee, Jang, Young Eun, Kim, Kyung Do, Liu, Wei Xian, Chaisan, Tanapon, Kang, Yang Jae, Lee, Yeong-Ho, Kim, Kook-Hyung, Moon, Jung-Kyung, Schmutz, Jeremy, Jackson, Scott A., Bhak, Jong, Lee, Suk-Ha, and Phillips, Ronald L.

Published
2010

37. RicePedigree: Rice Pedigree Database for Documentation and Assistance in Rice Breeding.

Author

Woo, Dong-U, Lee, Yejin, Jeon, Ho-Hwi, Park, Halim, Park, Jin-Hwa, Choi, Sung-Hoon, Lee, Chang-Min, Mo, Youngjun, and Kang, Yang-Jae

Subjects
RICE quality, DATABASES, TREE breeding, WEB-based user interfaces, RICE, RICE breeding, GENEALOGY
Abstract

For the purpose of breeding documentation, researchers and breeders kept handwritten records of the breeding history, including parental information and breeding methods. The cultivars were used again as parents for further breeding, and modern cultivars of rice have a wide range of alleles from many generations of parents and ancestors. To understand such a breeding history, it is necessary to ask around for relevant information, which is then usually documented in Excel or Word by multiple breeders or breeding institutes. Here, we constructed RicePedigree, which contains the breeding history of rice based on the documents provided by the Rural Development Administration (RDA) in Korea. We devised a simple method for collecting a breeding history and storing it in a database. RicePedigree is a web-based application on the database that facilitates researchers' and breeders' utilization of the breeding history of rice. Based on the query cultivar name, it will return a hierarchical tree of breeding histories and a list of cultivars and breeding lines that contain query cultivars in their breeding histories. This app would be a good way to review and keep track of information about current and future cultivars. [ABSTRACT FROM AUTHOR]

Published
2023
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