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Chen C, Chen T, Zhao N, Dong S. Regional maldistribution of human resources of rehabilitation institutions in China Mainland based on spatial analysis. Front Public Health 2022; 10:1028235. [PMID: 36424956 PMCID: PMC9679792 DOI: 10.3389/fpubh.2022.1028235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/24/2022] [Indexed: 11/10/2022] Open
Abstract
Objective With the demand for rehabilitation has been increasing faster for the aging of China's population, the equity of rehabilitation resource has aroused great concern. This study aimed to analyze the spatial distribution and evolution of the human resources of rehabilitation institutions and propose targeted countermeasures and suggestions to promote optimal allocation. Methods A total of 31 provinces in China Mainland were identified and geocoded. The spatial weight matrix was introduced to analyze the spatial correlation. Spatial autocorrelation analysis and tests were used to analyze the spatial distribution and evolution characteristics of rehabilitation institutions' human resources in China from 2016 to 2019. Results The average density of rehabilitation staff from 2016 to 2019 has been rising yearly (From 1.60 to 1.88). From 2018 to 2019, the proportion of rehabilitation professionals was higher than 75% in only 5 provinces, and no provinces met 75% from 2016 to 2017. Global Moran's I index from 2016 to 2019 showed no apparent aggregation phenomenon in the allocation of management personnel resources (P > 0.05). Three provinces in western China belonged to the Low-Low area and a province in northeastern China fitted to the Low-High area, with statistically significant differences. In addition, the changes in the spatial distribution and evolution trend of the human resources of rehabilitation institutions in different periods were affected by health policies. Conclusions Although the overall spatial distribution gap of human resource allocation of rehabilitation institutions is shrinking, there are still internal structural defects and a maldistribution at the provincial level. It is necessary to improve the overall number of staff in rehabilitation institutions and to ameliorate the proportion of different types of staffing.
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Affiliation(s)
- Cheng Chen
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China,National Institute of Hospital Administration, National Health Commission, Beijing, China
| | - Ting Chen
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Ning Zhao
- Hospital Management Institute, Tsinghua University, Beijing, China
| | - Siping Dong
- National Institute of Hospital Administration, National Health Commission, Beijing, China,School of Political Science and Public Administration, Wuhan University, Wuhan, China,Health Research Institute, Fujian Medical University, Fuzhou, China,*Correspondence: Siping Dong
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Yang XH, Yuan S, Zhang R, Yu JF, Nzala SH, Wang PG, He QQ. Risky Sexual Behaviors and Associated Factors Among College Students in Lusaka, Zambia. ARCHIVES OF SEXUAL BEHAVIOR 2019; 48:2117-2123. [PMID: 31309429 DOI: 10.1007/s10508-019-1442-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 03/05/2019] [Accepted: 03/20/2019] [Indexed: 06/10/2023]
Abstract
Risky sexual behaviors are important factors driving the HIV/AIDS epidemic. Although Zambia experiences a high HIV prevalence, especially among youth, there is a dearth of information regarding risky sexual behaviors among young adults. Therefore, we investigated the prevalence and associated factors of risky sexual behaviors among college students in Lusaka, Zambia. A cross-sectional study was conducted in February 2017 among 427 college students at the University of Zambia. Participants reported their sexual behaviors, sexual attitudes, and lifestyle using self-administered questionnaires. Multinomial logistic regression models were employed to assess potential determinants of risky sexual behaviors. Among the 205 students who reported ever having sex, 148 (72.2%) engaged in risky sexual behaviors in the last 12 months. Participants who were older (OR 1.30, 95% CI 1.12-1.51), engaged in low physical activity (OR 2.25, 95% CI 1.05-4.84), and reported liberal sexual attitudes (OR 1.88, 95% CI 1.02-3.47) were more likely to engage in any risky sexual behavior, while frequent alcohol use (OR 8.38, 95% CI 4.60-15.27) and suicide attempts (OR 6.42, 95% CI 2.03-20.29) predicted multiple risky sexual behaviors. In conclusion, this study indicates that Zambian college students' risky sexual behaviors are associated with multiple behavioral health risks. Future research should consider using a multiple-behavior change intervention.
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Affiliation(s)
- Xu-Hao Yang
- School of Health Sciences, Wuhan University, Donghu Rd, No. 185, Wuhan, 430071, Hubei Province, People's Republic of China
| | - Shuai Yuan
- School of Health Sciences, Wuhan University, Donghu Rd, No. 185, Wuhan, 430071, Hubei Province, People's Republic of China
| | - Rui Zhang
- School of Health Sciences, Wuhan University, Donghu Rd, No. 185, Wuhan, 430071, Hubei Province, People's Republic of China
| | - Jun-Feng Yu
- School of Health Sciences, Wuhan University, Donghu Rd, No. 185, Wuhan, 430071, Hubei Province, People's Republic of China
| | | | - Pei-Gang Wang
- School of Health Sciences, Wuhan University, Donghu Rd, No. 185, Wuhan, 430071, Hubei Province, People's Republic of China
| | - Qi-Qiang He
- School of Health Sciences, Wuhan University, Donghu Rd, No. 185, Wuhan, 430071, Hubei Province, People's Republic of China.
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Bakka H, Rue H, Fuglstad G, Riebler A, Bolin D, Illian J, Krainski E, Simpson D, Lindgren F. Spatial modeling with R‐INLA: A review. ACTA ACUST UNITED AC 2018. [DOI: 10.1002/wics.1443] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Haakon Bakka
- CEMSE Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
| | - Håvard Rue
- CEMSE Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
| | - Geir‐Arne Fuglstad
- Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway
| | - Andrea Riebler
- Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway
| | - David Bolin
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - Janine Illian
- CREEM, School of Mathematics and Statistics University of St Andrews St. Andrews UK
| | - Elias Krainski
- Departamento de Estatística Universidade Federal do Paraná Paraná Brazil
| | - Daniel Simpson
- Department of Statistical Sciences University of Toronto Toronto Canada
| | - Finn Lindgren
- School of Mathematics University of Edinburgh Edinburgh UK
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