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Wang X, Wu Y, Chen Y, Gao Q, Liu W, Xu J, Zang S. Network analysis for inter-relationships of the suboptimal health status with depression and anxiety during the COVID-19 pandemic: A perspective of predictive, preventive, and personalized health. J Affect Disord 2024; 356:155-161. [PMID: 38604454 DOI: 10.1016/j.jad.2024.04.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/27/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND The Coronavirus Disease-2019 (COVID-19) pandemic has had a profound impact on suboptimal health status, depression, and anxiety, necessitating a comprehensive understanding of their inter-relationships at the national level. This study aims to investigate the inter-relationships among suboptimal health status, depression, and anxiety using a network analysis approach. METHODS We conducted a national survey between June 20 and August 31, 2022. Three network models were constructed and analyzed to independently examine the inter-relationships among suboptimal health status, depression, and anxiety. RESULTS A total of 26,152 participants were included in this study. The study network analysis indicated that item 9 (i.e., Slow response) exhibited the highest node strength within the suboptimal health status questionnaire-short form (SHSQ-SF) network, followed by item 5 (i.e., Breathlessness at rest). Additionally, positive correlations were observed between depression and anxiety severity and most of the SHSO-SF items. CONCLUSIONS This study provided valuable insights into inter-relationships between suboptimal health status, depression, and anxiety, informing the development of comprehensive intervention strategies for the general population. These findings have important implications for promoting the well-being and mental health of individuals during and beyond the COVID-19 pandemic.
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Affiliation(s)
- Xue Wang
- Department of Community Nursing, School of Nursing, China Medical University, Shenyang, China
| | - Yibo Wu
- School of Public Health, Peking University, Beijing, China
| | - Yu Chen
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Qian Gao
- Department of Environmental Health, School of Public Health, China Medical University, Shenyang, China
| | - Wenting Liu
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Jiayi Xu
- Department of Community Nursing, School of Nursing, China Medical University, Shenyang, China
| | - Shuang Zang
- Department of Community Nursing, School of Nursing, China Medical University, Shenyang, China.
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Liu Y, Ge P, Zhang X, Wu Y, Sun Z, Bai Q, Jing S, Zuo H, Wang P, Cong J, Li X, Liu K, Wu Y, Wei B. Intrarelationships between suboptimal health status and anxiety symptoms: A network analysis. J Affect Disord 2024; 354:679-687. [PMID: 38527530 DOI: 10.1016/j.jad.2024.03.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Suboptimal health status is a global public health concern of worldwide academic interest, which is an intermediate health status between health and illness. The purpose of the survey is to investigate the relationship between anxiety statuses and suboptimal health status and to identify the central symptoms and bridge symptoms. METHODS This study recruited 26,010 participants aged <60 from a cross-sectional study in China in 2022. General Anxiety Disorder-7 (GAD-7) and suboptimal health status short form (SHSQ-9) were used to quantify the levels of anxiety and suboptimal health symptoms, respectively. The network analysis method by the R program was used to judge the central and bridge symptoms. The Network Comparison Test (NCT) was used to investigate the network differences by gender, place of residence, and age in the population. RESULTS In this survey, the prevalence of anxiety symptoms, SHS, and comorbidities was 50.7 %, 54.8 %, and 38.5 %, respectively. "Decreased responsiveness", "Shortness of breath", "Uncontrollable worry" were the nodes with the highest expected influence. "Irritable", "Exhausted" were the two symptom nodes with the highest expected bridge influence in the network. There were significant differences in network structure among different subgroup networks. LIMITATIONS Unable to study the causal relationship and dynamic changes among variables. Anxiety and sub-health were self-rated and may be limited by memory bias. CONCLUSIONS Interventions targeting central symptoms and bridge nodes may be expected to improve suboptimal health status and anxiety in Chinese residents. Researchers can build symptom networks for different populations to capture symptom relationships.
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Affiliation(s)
- Yangyu Liu
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China
| | - Pu Ge
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100105, China
| | - Xiaoming Zhang
- Department of Cardiovascular Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Yunchou Wu
- School of Psychology, Southwest University, Chongqing 400715, China
| | - Zhaocai Sun
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China
| | - Qian Bai
- School of Management, Beijing University of Chinese Medicine, Beijing 100105, China
| | - Shanshan Jing
- College of Health Sciences, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, China
| | - Huali Zuo
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Pingping Wang
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China
| | - Jinyu Cong
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China
| | - Xiang Li
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China
| | - Kunmeng Liu
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China.
| | - Yibo Wu
- School of Public Health, Peking University, Haidian District, Beijing 100191, China.
| | - Benzheng Wei
- Center for Medical Artificial Intelligence, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China; Qingdao Key Laboratory of Artificial Intelligence Technology in Traditional Chinese Medicine, Qingdao 266112, China.
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Duan Y, Li S, Su Q, Xu S, Lu G. Influence of exercise prescription intervention based on WeChat on glycolipid metabolism and fitness of suboptimal-health teachers. Medicine (Baltimore) 2024; 103:e38167. [PMID: 38788028 PMCID: PMC11124765 DOI: 10.1097/md.0000000000038167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 04/17/2024] [Indexed: 05/26/2024] Open
Abstract
Exercise is an effective means to promote health, but adherence is low. Due to the advantages of immediacy, economy and effectiveness, the use of WeChat social software has permeated into every aspect in daily life in China. To explore the influence of WeChat-based exercise prescription intervention mode on glycolipid metabolism and fitness of suboptimal-health teachers. 293 suboptimal-health teachers with senior professional titles were randomized to a control group (CG) or an experimental group (e.g.). The CG exercised on its own, while the e.g. adopted the exercise prescription intervention based on WeChat. The intervention period was 6 months. Finally, 264 cases were adhered to and completed, including 132 cases in the CG and 132 cases in the e.g.. The Suboptimal-Health Status Questionnaires-25 scores (SHSQ-25 scores), exercise adherence, subjective feelings, physical fitness, blood glucose and blood lipids were detected before and after intervention and compared between 2 groups. After the intervention, the SHSQ-25 scores in the e.g. was significantly decreased than those in the CG (P < .01). The complete exercise adherence in the e.g. was significantly higher than those in the CG (P < .01). After intervention, the subjective feelings of e.g. were significantly improved compared to CG (P < .05). The body shape, body function and physical quality in the e.g. was higher than those in the CG (P < .05). Total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) decreased significantly in the e.g. but not in the CG (P < .05). Fasting blood glucose (FBG) decreased significantly in the e.g. but not in the CG, with a significant difference between groups (P < .05). The subjects in the e.g. were very satisfied with WeChat management. WeChat-based exercise prescription intervention could improve SHS, exercise adherence, subjective feelings, physical fitness and glycolipid metabolism.
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Affiliation(s)
- Yimei Duan
- Institute of Sports Medicine and Health, Chengdu Sports University, Chengdu, Sichuan, China
- College of Physical Education, Sichuan Normal University, Chengdu, Sichuan, China
| | - Shunchang Li
- Institute of Sports Medicine and Health, Chengdu Sports University, Chengdu, Sichuan, China
| | - Quansheng Su
- Institute of Sports Medicine and Health, Chengdu Sports University, Chengdu, Sichuan, China
| | - Simao Xu
- College of Physical Education, Guangxi Normal University, Guilin, Guangxi, China
| | - Guotian Lu
- College of Physical Education, Sichuan Normal University, Chengdu, Sichuan, China
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Guan Q, Dong H, Zhang Z, Guo Z, Lin Z, Niu H, Wu Y, Hou H. The mediating effect of perceived stress on the relationship between big five personality traits and suboptimal health status in Chinese population: a nationwide survey in the framework of predictive, preventive, and personalized medicine. EPMA J 2024; 15:25-38. [PMID: 38463623 PMCID: PMC10923761 DOI: 10.1007/s13167-023-00349-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 11/22/2023] [Indexed: 03/12/2024]
Abstract
Background The effects of psychological factors on suboptimal health status (SHS) have been widely described; however, mechanisms behind the complex relationships among the Big Five personality traits and SHS are unclear. Identifying people with specific traits who are susceptible to SHS will help improve life quality and reduce the chronic disease burden under the framework of predictive, preventive, and personalized medicine (PPPM / 3PM). This study investigated the relationships among personality traits and SHS. It also explored whether perceived stress plays a mediating role in SHS development. Method A nationwide cross-sectional survey based on multistage random sampling was conducted in 148 cities in China between June 20 and August 31, 2022. Personality traits, perceived stress, and SHS were evaluated using the Big Five Inventory-10 (BFI-10), the 4-item Perceived Stress Scale (PSS-4), and the Short-Form Suboptimal Health Status Questionnaire (SHSQ-SF), respectively. Pearson's correlation analysis was employed to examine the associations between personality traits, perceived stress, and SHS. Structural equation modeling (SEM) was used to discern the mediating role of perceived stress in the relationships among personality traits and SHS. Result A total of 22,897 participants were enrolled in this study, among whom the prevalence of SHS was 52.9%. SHS was negatively correlated with three trait dimensions (i.e., extraversion, agreeableness, and conscientiousness) but positively correlated with neuroticism. Meanwhile, stress was negatively correlated with extraversion, agreeableness, conscientiousness, and openness, whereas it was positively correlated with neuroticism. The SEM results showed that, when adjusting for covariates (i.e., gender, age, BMI, educational level, current residence, marital status, and occupational status), higher agreeableness (β = - 0.049, P < 0.001) and conscientiousness (β = - 0.103, P < 0.001) led to lower SHS prevalence, higher neuroticism (β = 0.130, P < 0.001), and openness (β = 0.026, P < 0.001) caused SHS to be more prevalent. Perceived stress played a partial mediating role in the relationships among personality traits and SHS, respectively, contributing 41.3%, 35.9%, and 32.5% to the total effects of agreeableness, conscientiousness, and neuroticism on SHS. Additionally, the mediating impact of stress was significant even though extraversion had no direct effect on SHS. Conclusion This study revealed a high prevalence of SHS in Chinese residents. Personality traits significantly influenced SHS rates, which perceived stress tended to mediate. From a PPPM perspective, early screening and targeted intervention for people with neuroticism (as well as stress alleviation) might contribute to health enhancement and chronic disease prevention. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-023-00349-x.
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Affiliation(s)
- Qihua Guan
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Hualei Dong
- Department of Sanatorium, Shandong Provincial Taishan Hospital, Taian, China
| | - Zhihui Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Zheng Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN USA
- School of Public Health, Edith Cowan University, Perth, Australia
| | - Zi Lin
- Department of Pediatrics, Taian Maternity and Child Health Hospital, Taian, China
| | - Hui Niu
- Department of Pediatrics, Taian Maternity and Child Health Hospital, Taian, China
| | - Yibo Wu
- School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191 China
| | - Haifeng Hou
- School of Public Health and The Second Affiliated Hospital of Shandong First Medical University, 6699 Qingdao Road, Jinan, 250117 Taian China
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Dong J, Chen J, Li Y, Huang X, Rong X, Chen L. Relationship Between Freshmen's Psychological Health and Family Economic Status in Chinese Universities: A Latent Profile Analysis. Psychol Res Behav Manag 2023; 16:3489-3502. [PMID: 37667735 PMCID: PMC10475299 DOI: 10.2147/prbm.s424798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 08/19/2023] [Indexed: 09/06/2023] Open
Abstract
Purpose With the rapid social changes, psychological health problems among freshmen in universities have become increasingly serious. Many researchers have studied the psychological health status of college freshmen using quantitative methods. However, most researchers have studied the psychological health of college freshmen by treating variables as the central concept and analysis unit, which has limitations on the variable-centered research method. Therefore, this study aims to explore the impact of family economic status and demographic variables on the psychological health of college freshmen, as well as the potential types of psychological health among college freshmen. Methods Based on the SCL-90 and the self-evaluation of the family economic status of college freshmen, latent profile analysis (LPA) was used to analyze the psychological health of 1497 college freshmen selected through a whole-group sampling method. Freshmen completed the questionnaire from October 18 to October 20, 2022. Then, multinomial logistic regression analysis and variance analysis were conducted using SPSS 25.0 to analyze the impact of family economic status and demographic variables on different psychological health subtypes of college freshmen from a university in Eastern China. Results There is obvious heterogeneity in the psychological health of college freshmen, which can be divided into three groups: psychological health group (69.54%), psychological distress group (24.65%), and psychological risk group (5.81%). The latent categories of psychological health among college freshmen differ by gender and family economic status. The psychological health status of female students is significantly better than that of male students. In addition, the lower the self-evaluation of family economic status of college freshmen, the lower their psychological health level. Conclusion Three categories of mental health exist for college freshmen, with significant group heterogeneity. Gender and family economic status significantly influenced mental health outcomes with female students faring better. The study's significance lies in providing useful recommendations for educational administrators and developing targeted interventions for college freshmen. Given the practical realities of mental health education efforts, personalized strategies that utilize peer support, counseling, and psychological services can be adopted to assist freshmen in acclimating to university life and maintaining mental wellness. The findings suggest considering the role of family economic status and gender in promoting mental health and the need for further research to develop comprehensive and effective interventions.
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Affiliation(s)
- Junqiang Dong
- Mental Health Education Center, Zhejiang A&F University, Hangzhou, People’s Republic of China
| | - Jianyong Chen
- School of Psychology, Zhejiang Normal University, Jinhua, People’s Republic of China
| | - Yong Li
- Mental Health Education Center, Zhejiang A&F University, Hangzhou, People’s Republic of China
| | - Xiaofang Huang
- Mental Health Education Center, Zhejiang A&F University, Hangzhou, People’s Republic of China
| | - Xing Rong
- Mental Health Education Center, Zhejiang A&F University, Hangzhou, People’s Republic of China
| | - Liang Chen
- Mental Health Education Center, Zhejiang A&F University, Hangzhou, People’s Republic of China
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Ma C, Ren Z, Li C. The relationship between internet addiction and risk of suboptimal health status among Chinese college students. Medicine (Baltimore) 2023; 102:e34528. [PMID: 37603517 PMCID: PMC10443751 DOI: 10.1097/md.0000000000034528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/30/2023] [Indexed: 08/23/2023] Open
Abstract
Internet addiction (IA) is a prevalent trend among college students, and the relationship between severe IA and poor health status among college students has been well established. However, whether IA is associated with suboptimal health status (SHS) in college students is unclear. This study aimed to investigate the association between IA and SHS risk in Chinese college students. We conducted a cross-sectional study to assess whether IA was related to SHS risk in 2265 college students in Shenyang, China. SHS was assessed using the Suboptimal Health Status Questionnaire with a cutoff score of ≥35 to document SHS. IA was assessed using the validated 20-item Young's Internet Addiction Test with cutoff scores of 31-49 and 50-100 for mile and moderate-to-severe cases, respectively. The prevalence rate of SHS was 54.0%. After adjusting for potential confounding factors, the IA categories were positively related to a higher risk of SHS. The odds ratios (95% confidence intervals) for SHS across IA categories were 1.00, 7.66 (6.00, 9.78), and 27.93 (20.95, 37.24) (P for trend: <.001) after adjusting for multiple confounding factors. This is the first cross-sectional study to demonstrate that IA is independently associated with SHS. This finding suggests that IA is a negative risk factor for SHS.
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Affiliation(s)
- Chunxiao Ma
- School of Business Management, Liaoning Technical University, Liaoning, China
- Research Institute of Educational Economics and Administration, Shenyang Normal University, Liaoning, China
| | - Zhongyu Ren
- School of Physical Education, Southwest University, Chongqing, China
| | - Caifu Li
- College of Sports Science, Shenyang Normal University, Liaoning, China
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Hu Y, Liu J, Zhao Z, Bi C, Cao H, Liu H, Yang G. Association between sleep quality and psychological symptoms: A cross-sectional survey of Chinese university students performed during the COVID-19 pandemic. Front Psychol 2023; 14:1131176. [PMID: 37260956 PMCID: PMC10227667 DOI: 10.3389/fpsyg.2023.1131176] [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: 12/24/2022] [Accepted: 03/07/2023] [Indexed: 06/02/2023] Open
Abstract
Background Since the start of the coronavirus 2019 pandemic, people have faced many challenges, including in relation to sleep quality and psychological health. This study aims to analyze the association between sleep quality and psychological symptoms among university students in China, and to provide reference data to facilitate the development of interventions to improve the physical and mental health of university students. Methods A stratified cluster sampling method was used to investigate the sleep quality and psychological symptoms of 6,363 university students in China. The Chi-square test was used to analyze differences in sleep quality among groups. Logistic regression analysis was used to analyze the association between sleep quality and psychological symptoms. Results The proportions of Chinese university students with good, medium, and poor sleep quality were 25.73, 10.99, and 63.28%, respectively. The overall rate of psychological symptoms was 16.5%. Logistic regression analysis showed that, in general, university students with poor sleep quality had a higher risk of psychological symptoms than those with good sleep quality (OR = 1.53, 95%CI: 1.28, 1.84, p < 0.01). Compared with university students with good sleep quality, those with poor sleep quality were more likely to experience emotional symptoms (OR = 1.62, 95%CI: 1.36, 1.94), behavioral symptoms (OR = 1.55, 95% CI: 1.3, 1.84), and difficulties with social adaptation (OR = 1.84, 95% CI: 1.51, 2.25) (all p < 0.01). Conclusion There was an association between sleep quality and psychological symptoms among Chinese university students. University students with poor sleep quality have a higher risk of psychological symptoms. Measures should be taken to improve the sleep quality of university students and reduce the incidence of psychological symptoms. This study provides reference data for government and education departments that could inform public health policies.
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Affiliation(s)
- Yanyan Hu
- Research Department of Physical Education, Xinjiang Institute of Engineering, Urumqi, China
| | - Jingzhi Liu
- Research Department of Physical Education, Xinjiang Institute of Engineering, Urumqi, China
| | - Zhimin Zhao
- School of Physical Education, Chizhou University, Chizhou, China
- Sports Health Promotion Center, Chizhou University, Chizhou, China
| | - Cunjian Bi
- School of Physical Education, Chizhou University, Chizhou, China
- Sports Health Promotion Center, Chizhou University, Chizhou, China
| | - Hongmin Cao
- School of Physical Education, Chizhou University, Chizhou, China
- Sports Health Promotion Center, Chizhou University, Chizhou, China
| | - He Liu
- Research Department of Physical Education, Xinjiang University, Urumqi, China
| | - Guangyan Yang
- School of Physical Education, Chizhou University, Chizhou, China
- Sports Health Promotion Center, Chizhou University, Chizhou, China
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Kropp M, Golubnitschaja O, Mazurakova A, Koklesova L, Sargheini N, Vo TTKS, de Clerck E, Polivka J, Potuznik P, Polivka J, Stetkarova I, Kubatka P, Thumann G. Diabetic retinopathy as the leading cause of blindness and early predictor of cascading complications-risks and mitigation. EPMA J 2023; 14:21-42. [PMID: 36866156 PMCID: PMC9971534 DOI: 10.1007/s13167-023-00314-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 01/15/2023] [Indexed: 02/17/2023]
Abstract
Proliferative diabetic retinopathy (PDR) the sequel of diabetic retinopathy (DR), a frequent complication of diabetes mellitus (DM), is the leading cause of blindness in the working-age population. The current screening process for the DR risk is not sufficiently effective such that often the disease is undetected until irreversible damage occurs. Diabetes-associated small vessel disease and neuroretinal changes create a vicious cycle resulting in the conversion of DR into PDR with characteristic ocular attributes including excessive mitochondrial and retinal cell damage, chronic inflammation, neovascularisation, and reduced visual field. PDR is considered an independent predictor of other severe diabetic complications such as ischemic stroke. A "domino effect" is highly characteristic for the cascading DM complications in which DR is an early indicator of impaired molecular and visual signaling. Mitochondrial health control is clinically relevant in DR management, and multi-omic tear fluid analysis can be instrumental for DR prognosis and PDR prediction. Altered metabolic pathways and bioenergetics, microvascular deficits and small vessel disease, chronic inflammation, and excessive tissue remodelling are in focus of this article as evidence-based targets for a predictive approach to develop diagnosis and treatment algorithms tailored to the individual for a cost-effective early prevention by implementing the paradigm shift from reactive medicine to predictive, preventive, and personalized medicine (PPPM) in primary and secondary DR care management.
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Affiliation(s)
- Martina Kropp
- Division of Experimental Ophthalmology, Department of Clinical Neurosciences, University of Geneva University Hospitals, 1205 Geneva, Switzerland ,Ophthalmology Department, University Hospitals of Geneva, 1205 Geneva, Switzerland
| | - Olga Golubnitschaja
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
| | - Alena Mazurakova
- Clinic of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia
| | - Lenka Koklesova
- Clinic of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia
| | - Nafiseh Sargheini
- Max Planck Institute for Plant Breeding Research, Carl-Von-Linne-Weg 10, 50829 Cologne, Germany
| | - Trong-Tin Kevin Steve Vo
- Division of Experimental Ophthalmology, Department of Clinical Neurosciences, University of Geneva University Hospitals, 1205 Geneva, Switzerland ,Ophthalmology Department, University Hospitals of Geneva, 1205 Geneva, Switzerland
| | - Eline de Clerck
- Division of Experimental Ophthalmology, Department of Clinical Neurosciences, University of Geneva University Hospitals, 1205 Geneva, Switzerland ,Ophthalmology Department, University Hospitals of Geneva, 1205 Geneva, Switzerland
| | - Jiri Polivka
- Department of Histology and Embryology, and Biomedical Centre, Faculty of Medicine in Plzen, Charles University, Prague, Czech Republic
| | - Pavel Potuznik
- Department of Neurology, University Hospital Plzen, and Faculty of Medicine in Plzen, Charles University, 100 34 Prague, Czech Republic
| | - Jiri Polivka
- Department of Neurology, University Hospital Plzen, and Faculty of Medicine in Plzen, Charles University, 100 34 Prague, Czech Republic
| | - Ivana Stetkarova
- Department of Neurology, University Hospital Kralovske Vinohrady, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Peter Kubatka
- Department of Medical Biology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia
| | - Gabriele Thumann
- Division of Experimental Ophthalmology, Department of Clinical Neurosciences, University of Geneva University Hospitals, 1205 Geneva, Switzerland ,Ophthalmology Department, University Hospitals of Geneva, 1205 Geneva, Switzerland
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Psychometric Properties of Suboptimal Health Status Instruments: A Systematic Review. J Pers Med 2023; 13:jpm13020299. [PMID: 36836533 PMCID: PMC9967625 DOI: 10.3390/jpm13020299] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 02/01/2023] [Accepted: 02/04/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Suboptimal health status (SHS) measurement has now been recognized as an essential construct in predictive, preventive, and personalized medicine. Currently, there are limited tools, and an ongoing debate about appropriate tools. Therefore, it is crucial to evaluate and generate conclusive evidence about the psychometric properties of available SHS tools. OBJECTIVE This research aimed to identify and critically assess the psychometric properties of available SHS instruments and provide recommendations for their future use. METHODS Articles were retrieved by following the guidelines of the PRISMA checklist, and the robustness of methods and evidence about the measurement properties was assessed using the adapted COSMIN checklist. The review was registered in PROSPERO. RESULTS The systematic review identified 14 publications describing four subjective SHS measures with established psychometric properties; these included the Suboptimal Health Status Questionnaire-25 (SHSQ-25), Sub-health Measurement Scale Version 1.0 (SHMS V1.0), Multidimensional Sub-health Questionnaire of Adolescents (MSQA), and the Sub-Health Self-Rating Scale (SSS). Most studies were conducted in China and reported three reliability indices: (1) the internal consistency measured by Cronbach's α value ranged between 0.70 and 0.96; (2) the test-retest reliability; and (3) the split-half reliability coefficient values ranged between 0.64 and 0.98, and between 0.83 and 0.96, respectively. For the values of validity coefficients in the case of SHSQ-25 > 0.71, the SHMS-1.0 ranged from 0.64 to 0.87, and the SSS ranged from 0.74 to 0.96. Using these existing and well-characterized tools rather than constructing original tools is beneficial, given that the existing choice demonstrated sound psychometric properties and established norms. CONCLUSIONS The SHSQ-25 stood out as being more suitable for the general population and routine health surveys, because it is short and easy to complete. Therefore, there is a need to adapt this tool by translating it into other languages, including Arabic, and establishing norms based on populations from other regions of the world.
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Dai P, Yi G, Qian D, Wu Z, Fu M, Peng H. Social Support Mediates the Relationship Between Coping Styles and the Mental Health of Medical Students. Psychol Res Behav Manag 2023; 16:1299-1313. [PMID: 37155482 PMCID: PMC10122993 DOI: 10.2147/prbm.s405580] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 03/23/2023] [Indexed: 05/10/2023] Open
Abstract
Purpose This study aimed to explore the impact that coping styles and social support have on the mental health of medical students by constructing a corresponding structural situation model that reveals the complex relationship between these three factors. In doing so, it seeks to help medication students better manage mental health problems. Patients and Methods The online study was conducted between March 6, 2021 and May 6, 2021. A total of 318 participants from multiple medical schools were involved. The general information questionnaire, simple coping style questionnaire (SCSQ), perceived social support scale (PSSS) and symptom checklist 90 (SCL-90) were used to collect relevant information from the subjects by snowball sampling. An independent t-test, ANOVA, Pearson correlation coefficient analysis, and intermediary effect analysis were all used to analyze the relevant data and construct the structural equation model. Results There was a significant difference in SCL-90 between medical students and national college students (1.78±0.70, P < 0.001), and the positive rate of mental health status was as high as 40.3%. Sleep quality, regular diet, and positive coping style were positively correlated with mental health (P < 0.01), while negative coping styles and total scores of coping style as well as family, friends, and other sources of social support and total scores of social support were negatively correlated with mental health problems (P < 0.01). Positive and negative coping styles have an impact on mental health through the mediating effect of between social support and coping styles, as well as in the direct pathway. Conclusion The mental health status of medical students was significantly poor. Medical schools should thus pay close attention to the mental health status of students and encourage them to develop healthy living habits, optimize coping styles, and establish stable sources of social support to improve their psychological wellbeing.
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Affiliation(s)
- Peilin Dai
- School of Nursing, Hunan University of Medicine, Huaihua, Hunan, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Guoguo Yi
- Department of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Dandan Qian
- Department of Clinical Skills Training Center, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhe Wu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Min Fu
- Department of Ophthalmology, Zhujiang Hospital of Southern Medical University, Guangzhou, People’s Republic of China
- Correspondence: Min Fu, Department of Ophthalmology, Zhujiang Hospital of Southern Medical University, No. 253, Industrial Avenue Middle, Haizhu, Guangzhou, People’s Republic of China, Tel +86 18665621066, Email
| | - Hui Peng
- School of Nursing, Hunan University of Medicine, Huaihua, Hunan, People’s Republic of China
- Hui Peng, School of Nursing, Hunan University of Medicine, No. 492, Jinxi South Road, Huaihua, Hunan, People’s Republic of China, Email
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Li S, Liu C, Song Y, Ma N, Lu J. Association of Soyfoods or Soybean Products Consumption with Psychological Symptoms: Evidence from a Cross-Sectional Study of Chinese University Students during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:819. [PMID: 36613140 PMCID: PMC9819589 DOI: 10.3390/ijerph20010819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
There is a strong association between soyfoods or soybean product consumption and adolescent health, but there are few studies on the association between soyfoods or soybean product consumption and psychological symptoms among university students. To this end, this study investigated the association between soyfoods or soybean products consumption and psychological symptoms among Chinese university students and analyzed the association between them. A three-stage stratified whole-group sampling method was used to administer questionnaires on soyfoods or soybean products consumption and psychological symptoms to 7742 university students in China. Self-assessment questionnaires were also administered to confounding variables such as basic demographic information, family status, parental education, body mass index (BMI), and moderate and vigorous physical activity (MVPA). The chi-square test, one-way ANOVA, and logistic regression analysis were used to explore the association and differences between soyfoods or soybean products consumption and psychological symptoms. The proportion of Chinese university students' soyfoods or soybean products consumption in ≤one time/week, two-four times/week, and ≥five times/week were 38.81%, 40.24%, and 20.95%, respectively. University students' psychological symptoms problem detection rate was 16.22%. The detection rate of psychological symptoms was lower among university male students (14.75%) than female students (17.35%), and the difference was statistically significant (χ2 = 9.525, p < 0.01). After adjusting for relevant covariates, students with soyfoods or soybean products consumption ≤one time/week (OR = 1.83, 95% CI:1.52, 2.21) had a higher risk of psychological symptoms compared to university students with soyfoods or soybean products consumption ≥five time/week (p < 0.01). During the COVID-19 pandemic, Chinese university students had lower consumption of soyfoods or soybean products and a higher detection rate of psychological symptoms. There was a negative association between soyfoods or soybean products consumption and psychological symptoms. Our study provides a scientific reference for the government and educational decision-making authorities and suggests that education on eating behavior and dietary guidance should be emphasized among university students in the future to maintain a reasonable consumption of soyfoods or soybean products for better physical and mental health development.
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Affiliation(s)
- Shengpeng Li
- School of Preschool Education, Jingzhou Institute of Technology, Jingzhou 434020, China
| | - Cong Liu
- Physical Education College, Jiangxi Normal University, Nanchang 330022, China
| | - Yongjing Song
- College of Education and Sports Sciences, Yangtze University, Jingzhou 434020, China
| | - Nan Ma
- College of Physical Education and Health, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China
| | - Jinkui Lu
- School of Physical Education, Shangrao Normal University, Shangrao 334000, China
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12
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Guo Z, Meng R, Zheng Y, Li X, Zhou Z, Yu L, Tang Q, Zhao Y, Garcia M, Yan Y, Song M, Balmer L, Wen J, Hou H, Tan X, Wang W. Translation and cross-cultural validation of a precision health tool, the Suboptimal Health Status Questionnaire-25, in Korean. J Glob Health 2022; 12:04077. [PMID: 36181723 PMCID: PMC9526479 DOI: 10.7189/jogh.12.04077] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Suboptimal health status (SHS) is a reversible stage between health and illness that is characterized by health complaints, low energy, general weakness, and chronic fatigue. The Suboptimal Health Status Questionnaire-25 (SHSQ-25) has been validated in three major populations (African, Asian, and Caucasian) and is internationally recognized as a reliable and robust tool for health estimation in general populations. This study focused on the development of K-SHSQ-25, a Korean version of the SHSQ-25, from its English version. METHODS The SHSQ-25 was translated from English to Korean according to international guidelines set forth by the World Health Organization (WHO) for health instrument translation between different languages. A subsequent cross-sectional survey involved 460 healthy South Korean participants (aged 18-83 years; 65.4% females) to answer the 25 questions focusing on the health perspectives of 5 domains, 1) fatigue, 2) cardiovascular health, 3) digestive tract, 4) immune system and 5) mental health. The K-SHSQ-25 was further validated using tests for reliability, internal consistency, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). RESULTS The version of K-SHSQ-25 achieved linguistic, cultural, and conceptual equivalence to the English version. The intraclass correlation coefficient (ICC) of test-retest reliability for individual items ranged from 0.88 to 0.99. Reliability estimates based on internal consistency reached a Cronbach's α of 0.953; the Cronbach's α for each domain ranged from 0.76 to 0.94. Regarding construct validity, the EFA of the K-SHSQ-25 generally replicated the multidimensional structure (fatigue, cardiovascular, digestive, immune system, and mental health) and 25 questions. The CFA revealed that the root mean square error of approximation (RMSEA), goodness-of-fit index (GFI) and adjusted goodness of fit index (AGFI) were excellent (RMSEA = 0.069<0.08, GFI = 0.929>0.90, AGFI = 0.907>0.90). The five domains of the K-SHSQ-25 showed significant correlations with each other (r = 0.59-0.81, P<0.001). The cut-off point of K-SHSQ-25 for SHS was determined as an SHS score of 25. The prevalence of SHS in this study was 60.0% (276/460), with 47.8% (76/159) for males and 58.5% for females (176/301). CONCLUSIONS Our results indicate that the Korean version of SHSQ-25, K-SHSQ-25, is a transcultural equivalent, robust, valid, and reliable assessment tool for evaluating SHS in the Korean-speaking population.
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Affiliation(s)
- Zheng Guo
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Ruoyu Meng
- Department of Physiology, Institute of Medical Science, Jeonbuk National University Medical School, Jeonju, Korea
| | - Yulu Zheng
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Xingang Li
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Ziqi Zhou
- Department of Herbology, School of Korean Medicine, Wonkwang University, Jeonbuk, Korea
| | - Leilei Yu
- Department of Endocrinology, Taian City Central Hospital, Taian, China
| | - Qian Tang
- Department of Obstetrics, Tengzhou People's Central Hospital, Tengzhou, China
| | - Ying Zhao
- School of Foreign Languages, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China
| | - Monique Garcia
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
| | - Yuxiang Yan
- School of Foreign Languages, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China
| | - Manshu Song
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Lois Balmer
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Department of Physiology, Institute of Medical Science, Jeonbuk National University Medical School, Jeonju, Korea
| | - Jun Wen
- School of Business and Law, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Haifeng Hou
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Public Health, Shandong First Medical University &
- Shandong Academy of Medical Sciences, Taian, Shandong, China
| | - Xuerui Tan
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- The Nathan Centre, Joondalup, Western Australia, Australia
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Joondalup, Western Australia, Australia
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13
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Guo Z, Wen J, Zheng D, Yulu Z, Hou H, Wang W. Proposing an avenue for suboptimal health research through the lens of tourism. J Glob Health 2022; 12:03058. [PMID: 36065526 PMCID: PMC9445567 DOI: 10.7189/jogh.12.03058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Zheng Guo
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
| | - Jun Wen
- School of Business and Law, Edith Cowan University, Joondalup, Australia
| | - Danni Zheng
- Department of Tourism, Fudan University, Shanghai, China
| | - Zheng Yulu
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University &
- Shandong Academy of Medical Sciences, Taian, China
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- School of Public Health, Shandong First Medical University &
- Shandong Academy of Medical Sciences, Taian, China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
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14
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Shan Y, Ji M, Xie W, Li R, Qian X, Zhang X, Hao T. Interventions in Chinese Undergraduate Students' Mental Health: Systematic Review. Interact J Med Res 2022; 11:e38249. [PMID: 35704383 PMCID: PMC9244660 DOI: 10.2196/38249] [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: 03/24/2022] [Revised: 05/16/2022] [Accepted: 05/27/2022] [Indexed: 12/08/2022] Open
Abstract
BACKGROUND Over 30% of university students from 8 countries were afflicted with mental distress according to a World Health Organization survey. Undergraduate students in increasing numbers in China have also been reported to suffer from different mental problems. Various psychological distresses significantly impact their academic and daily life, thereby causing role impairments and unsatisfactory academic achievements. While the prevalence of, diverse underlying factors for, and interventions of social support in college students' mental health have extensively been investigated in China, there is no study exclusively focusing on the impact of interventions on their psychological well-being. OBJECTIVE The aim of this review was to identify and synthesize the interventions in the mental health concerns of Chinese undergraduate students studying in China reported in the literature to inform educational authorities, college and university management, students' affairs counselors, and mental health providers. METHODS We performed a systematic review and reported the research findings of previous studies according to the protocol of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement. First, based on the predefined search strategy, keyword searches were performed in the PubMed and ProQuest databases to retrieve relevant studies. Subsequently, we screened the candidate articles based on predefined inclusion and exclusion criteria. Finally, we analyzed the included papers for qualitative synthesis. RESULTS We retrieved a total of 675 studies from the PubMed and ProQuest databases using the search strategy on March 15, 2022. Among these candidate studies, 15 that were not written in English, 76 duplicates, and 149 studies of other document types were removed before screening. An additional 313 studies were excluded in the screening process, with 73 articles ruled out for being not relevant to interventions, not related to mental health, or not focused on undergraduate students in the full-text review. As a result, 49 papers were eligible and included in this systematic review. In the qualitative synthesis, we divided the interventions reported in the selected studies into two categories: (1) social support from government authorities, university authorities, students' affairs counselors and teachers, family members, health care authorities and professionals, and the media (various online platforms), and (2) various coping strategies adopted by undergraduate students themselves. We identified further research on mental health interventions that may be delivered by digital medical platforms, conversational agents (eg, chatbots), and researchers. CONCLUSIONS This was the first systematic review of interventions to address the mental health concerns of Chinese undergraduate students studying in China. The categorization of reported interventions and the identification of new intervention channels can effectively inform stakeholders. Interventions for undergraduate students' mental health is a research topic worth further investigation.
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Affiliation(s)
- Yi Shan
- School of Foreign Studies, Nantong University, Nantong, China
| | - Meng Ji
- School of Languages and Cultures, University of Sydney, Sydney, Australia
| | - Wenxiu Xie
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Rongying Li
- School of Artificial Intelligence, South China Normal University, Guangzhou, China
| | - Xiaobo Qian
- School of Computer Science, South China Normal University, Guangzhou, China
| | - Xiaomin Zhang
- Department of Linguistics, Macquarie University, Sydney, Australia
| | - Tianyong Hao
- School of Computer Science, South China Normal University, Guangzhou, China
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15
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Liu H, Zhou Z, Huang L, Zhu E, Yu L, Zhang M. Prevalence of smartphone addiction and its effects on subhealth and insomnia: a cross-sectional study among medical students. BMC Psychiatry 2022; 22:305. [PMID: 35488216 PMCID: PMC9052183 DOI: 10.1186/s12888-022-03956-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 04/18/2022] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE This study aimed to assess Chinese medical students' smartphone addiction and its effects on subhealth and insomnia. METHODS A cross-sectional survey was conducted from October 14, 2020 to November 14, 2020 by administering an online questionnaire to Wannan Medical College students. RESULTS Of 2741 students who completed the survey, 1,447 (52.8%) had smartphone addiction. Medical specialty (p = 0.004), alcohol consumption (p = 0.001), smartphone use in bed (p = 0.000), depression (p = 0.000) and anxiety (p = 0.000) were strongly associated with smartphone addiction. The impacts of smartphone addiction on subhealth (p = 0.000) and insomnia (p = 0.000) were significant. CONCLUSION This survey shows that the smartphone addiction detection rate among medical students was 52.8%. Students who did not like their medical specialty, consumed alcohol, used their smartphones in bed, and suffered from depression and anxiety had a higher smartphone addiction detection rate. The subhealth and insomnia of medical students are adversely associated with smartphone addiction.
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Affiliation(s)
- Huan Liu
- grid.452929.10000 0004 8513 0241Department of Hemodialysis, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui 241001 China
| | - Zhiqing Zhou
- grid.443626.10000 0004 1798 4069Department of Nursing, Yijishan Hospital Affiliated to Wannan Medical College, Wuhu, Anhui 241001 China
| | - Long Huang
- grid.443626.10000 0004 1798 4069School of Humanities and Management, Wannan Medical College, Wuhu, 241002 Anhui China
| | - Ergang Zhu
- grid.443626.10000 0004 1798 4069School of Comprehensive Foundation, Wannan Medical College, Wuhu, 241002 Anhui China
| | - Liang Yu
- grid.443626.10000 0004 1798 4069School of Humanities and Management, Wannan Medical College, Wuhu, 241002 Anhui China
| | - Ming Zhang
- School of Innovation and Entrepreneurship, Wannan Medical College, Wuhu, 241002, Anhui, China.
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16
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Zhang M, Zhou Z, Tao X, Huang L, Zhu E, Yu L, Liu H. Prevalence of subhealth status and its effects on mental health and smartphone addiction: a cross-sectional study among Chinese medical students. Rev Assoc Med Bras (1992) 2022; 68:222-226. [PMID: 35239886 DOI: 10.1590/1806-9282.20210977] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/24/2021] [Indexed: 12/08/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the suboptimal health status or subhealth status and their relationship with mental health and smartphone addiction among Chinese medical students. METHODS A cross-sectional survey was conducted at Wannan Medical College of China in Wuhu. RESULTS A total of 2,741 students were surveyed in October 2020. Of 2,741 Chinese medical students who completed the survey, 904 (33%) participants reported to have had subhealth status. Anxiety status (p<0.001), depression status (p<0.001), and smartphone addiction status (p<0.001) have strong association with subhealth status. CONCLUSION This survey shows that the detection rate of subhealth status in Chinese medical students was 33%. Anxiety, depression, and smartphone addiction students had a higher detection rate of subhealth status. The anxiety, depression, and smartphone addiction of Chinese medical students are associated with subhealth status.
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Affiliation(s)
- Ming Zhang
- Wannan Medical College, School of Innovation and Entrepreneurship - Wuhu, China
| | - Zhiqing Zhou
- Yijishan Hospital Affiliated to Wannan Medical College, Department of Nursing - Wuhu, China
| | - Xiubin Tao
- Yijishan Hospital Affiliated to Wannan Medical College, Department of Nursing - Wuhu, China
| | - Long Huang
- Wannan Medical College, School of Humanities and Management - Wuhu, China
| | - Ergang Zhu
- Wannan Medical College, School of Comprehensive Foundation - Wuhu, China
| | - Liang Yu
- Wannan Medical College, School of Humanities and Management - Wuhu, China
| | - Huan Liu
- Yijishan Hospital of Wannan Medical College, Department of Hemodialysis - Wuhu, China
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17
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Liu Q, Li X. The Interactions of Media Use, Obesity, and Suboptimal Health Status: A Nationwide Time-Trend Study in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182413214. [PMID: 34948822 PMCID: PMC8701945 DOI: 10.3390/ijerph182413214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/13/2021] [Accepted: 12/13/2021] [Indexed: 12/19/2022]
Abstract
Obesity and suboptimal health status (SHS) have been global public health concerns in recent decades. A growing number of works have explored the relationships between media use and obesity, as well as SHS. This study aimed to examine the time trend of the associations between media use (including traditional media and new media) and obesity, as well as SHS. The data were derived from three national random samples of the Chinese General Social Survey (CGSS), which was separately conducted in 2013, 2015, and 2017. In total, 34,468 respondents were included in this study, consisting of 16,624 males and 17,844 females, and the average age was 49.95 years old (SD = 16.72). It found that broadcast use and television use were positively associated with obesity and showed an increasing trend over time. Cellphone use emerged as a risk factor for obesity in 2017 and showed an increasing trend. By contrast, newspaper use, television use, and internet use were negatively associated with SHS, and television use showed a decreasing trend in the association with SHS, while internet and newspaper use showed an increasing trend. In conclusion, media use was positively associated with obesity while negatively associated with SHS. It showed a decreasing trend in the associations between traditional media use and obesity, while revealing an increasing trend in the associations between new media use and obesity, as well as SHS. The practical implications of the findings are discussed.
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Wang W, Yan Y, Guo Z, Hou H, Garcia M, Tan X, Anto EO, Mahara G, Zheng Y, Li B, Kang T, Zhong Z, Wang Y, Guo X, Golubnitschaja O. All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine. EPMA J 2021; 12:403-433. [PMID: 34539937 PMCID: PMC8435766 DOI: 10.1007/s13167-021-00253-2] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/25/2021] [Indexed: 02/07/2023]
Abstract
First two decades of the twenty-first century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The time-frame between onset of SHS and clinical manifestation of associated disorders is the operational area for an application of reliable risk assessment tools and predictive diagnostics followed by the cost-effective targeted prevention and treatments tailored to the person. This article demonstrates advanced strategies in bio/medical sciences and healthcare focused on suboptimal health conditions in the frame-work of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy. Amongst others, following medical areas are proposed to strongly benefit from PPPM strategies applied to the identification and treatment of suboptimal health conditions:Stress overload associated pathologiesMale and female healthPlanned pregnanciesPeriodontal healthEye disordersInflammatory disorders, wound healing and pain management with associated complicationsMetabolic disorders and suboptimal body weightCardiovascular pathologiesCancersStroke, particularly of unknown aetiology and in young individualsSleep medicineSports medicineImproved individual outcomes under pandemic conditions such as COVID-19.
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Affiliation(s)
- Wei Wang
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Yuxiang Yan
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Zheng Guo
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Haifeng Hou
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Monique Garcia
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Xuerui Tan
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Enoch Odame Anto
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Department of Medical Diagnostics, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Gehendra Mahara
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Yulu Zheng
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Bo Li
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- School of Nursing and Health, Henan University, Kaifeng, China
| | - Timothy Kang
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Institute of Chinese Acuology, Perth, Australia
| | - Zhaohua Zhong
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- School of Basic Medicine, Harbin Medical University, Harbin, China
| | - Youxin Wang
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- Department of Medical Diagnostics, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Xiuhua Guo
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
| | - Olga Golubnitschaja
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - On Behalf of Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine
- Centre for Precision Health, Edith Cowan University, Perth, Australia
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
- First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Suboptimal Health Study Consortium, Kumasi, Ghana
- Suboptimal Health Study Consortium, Perth, Australia
- Suboptimal Health Study Consortium, Beijing, China
- Suboptimal Health Study Consortium, Bonn, Germany
- European Association for Predictive, Preventive and Personalised, Medicine, Brussels, Belgium
- Department of Medical Diagnostics, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- School of Nursing and Health, Henan University, Kaifeng, China
- Institute of Chinese Acuology, Perth, Australia
- School of Basic Medicine, Harbin Medical University, Harbin, China
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
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19
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Bu H, He A, Gong N, Huang L, Liang K, Kastelic K, Ma J, Liu Y, Chen ST, Chi X. Optimal movement behaviors: correlates and associations with anxiety symptoms among Chinese university students. BMC Public Health 2021; 21:2052. [PMID: 34753485 PMCID: PMC8577176 DOI: 10.1186/s12889-021-12116-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/25/2021] [Indexed: 01/12/2023] Open
Abstract
Background The Canadian 24-Hour Movement Guidelines for Adults was released in 2020. There is a dearth of evidence on the association between adherence to the 24 h movement guidelines and health indicators. This study aims to (a) explore the associations between potential correlates and meeting the 24 h movement guidelines using a sample of Chinese university students; and (b) examine if meeting 24 h movement guidelines is associated with the severity of anxiety symptoms. Methods Cross-sectional findings are based on 1846 Chinese university students (mean age = 20.7 years, 64.0% female). Movement behaviors (physical activity, sedentary behavior, and sleep duration), possible correlates, and anxiety symptoms were measured through self-reported online questionnaires. Logistic regression models were performed to examine the associations. Results We found that male students and those who had a mother with a master’s degree or above, more close friends and higher perceived family affluence were more likely to meet the overall 24 h guidelines. Meeting all 24 h movement guidelines presented the lower odds for severe anxiety symptoms than those meeting fewer recommendations in the 24 h movement guidelines. Conclusions As one of the first to examine the correlates of adherence to the 24 h movement guidelines and the relationship between anxiety symptoms and meeting the guidelines among Chinese university students, our findings contribute to the growing body of evidence linking movement behaviors, psychosocial correlates, and heath indicators. Schools and health providers can encourage movement behaviors that follow the guidelines on campus.
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Affiliation(s)
- He Bu
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, SAR, China
| | - Ai He
- School of Sport Medicine and Physical Therapy, Beijing Sport University, Beijing, China
| | - Na Gong
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Liuyue Huang
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Kaixin Liang
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Kaja Kastelic
- Andrej Marusic Institute, University of Primorska, Koper, Slovenia.,Human Health in the Built Environment, InnoRenew CoE, Izola, Slovenia
| | - Jiani Ma
- Centre for Sport, Exercise and Health Sciences, Coventry University, Coventry, UK.,School of Health and Social Development, Deakin University, Geelong, Australia
| | - Yang Liu
- School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai, China.,Shanghai Research Centre for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, Shanghai, China
| | - Si-Tong Chen
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Xinli Chi
- School of Psychology, Shenzhen University, Shenzhen, China.
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20
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The impacts of coping style and perceived social support on the mental health of undergraduate students during the early phases of the COVID-19 pandemic in China: a multicenter survey. BMC Psychiatry 2021; 21:530. [PMID: 34706690 PMCID: PMC8549419 DOI: 10.1186/s12888-021-03546-y] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 10/14/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND An increasing number of undergraduate students in China have been reported to have psychological problems. In response to the COVID-19 pandemic, a series of preventive and control measures were implemented, which undoubtedly worsened their psychological health. Coping style and social support were probably important factors that affected the psychological well-being of undergraduate students during the pandemic. This study aimed to explore the effects of coping style and perceived social support on the psychological well-being of college students and relevant risk factors. METHODS This cross-sectional study was performed in February and March of 2020 by distributing an online questionnaire among undergraduate students from seven geographical regions across China. The questionnaire included sociodemographic information; the 21-item Depression, Anxiety and Stress Scale (DASS-21); the Perceived Social Support Scale (PSSS); and the Simplified Coping Style Questionnaire (SCSQ). For the analyses, t-tests, one-way analysis of variance (ANOVA), the Kruskal-Wallis test and multiple linear regression were utilized. The level of significance was set at P < 0.05. RESULTS Among 3113 college students, the rates of anxiety, depression and stress symptoms were 13.3, 15.4 and 6.8%, respectively. Increased rates of current smoking and drinking (5.5 and 25.2%, respectively) among undergraduates were identified. The results indicated that the PSSS subscales and SCSQ subscales were significantly associated with DASS-21 scores (P < 0.001). Multiple linear regression analysis showed that active coping style and family support were protective factors while passive coping style could aggravate psychological problems among participants (P < 0.001). CONCLUSIONS A remarkable number of college students adopted passive coping strategies to cope with negative feelings, such as smoking and drinking, which were detrimental to their mental health. In contrast, active coping strategies helped improve their psychological well-being. Moreover, family support was particularly important for maintaining their mental health and ameliorating mental health challenges in this major health crisis. Consequently, suitable psychointervention, routine screening for risk behaviors, and provision of further social support are needed for undergraduate students in the COVID-19 pandemic or other emergency public health events.
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21
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Adua E, Afrifa-Yamoah E, Frimpong K, Adama E, Karthigesu SP, Anto EO, Aboagye E, Yan Y, Wang Y, Tan X, Wang W. Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population. Health Qual Life Outcomes 2021; 19:180. [PMID: 34281537 PMCID: PMC8287694 DOI: 10.1186/s12955-021-01810-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 06/24/2021] [Indexed: 12/13/2022] Open
Abstract
Background The Suboptimal Health Status Questionnaire-25 (SHS-Q-25) developed to measure Suboptimal Health Status has been used worldwide, but its construct validity has only been tested in the Chinese population. Applying Structural Equation Modelling, we investigate aspects of the construct validity of the SHS-Q-25 to determine the interactions between SHS subscales in a Ghanaian population.
Methods The study involved healthy Ghanaian participants (n = 263; aged 20–80 years; 63% female), who responded to the SHSQ-25. In an exploratory factor and parallel analysis, the study extracted a new domain structure and compared to the established five-domain structure of SHSQ-25. A confirmatory factor analysis (CFA) was conducted and the fit of the model further discussed. Invariance analysis was carried out to establish the consistency of the instrument across multi-groups.
Results The extracted domains were reliable with Cronbach’s \documentclass[12pt]{minimal}
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\begin{document}$$\alpha$$\end{document}α of 0.846, 0.820 and 0.864 respectively, for fatigue, immune-cardiovascular and cognitive. The CFA revealed that the model fit indices were excellent \documentclass[12pt]{minimal}
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\begin{document}$$\left( {{\text{RMSEA}} = 0.049~ < ~0.08,\,{\text{CFI}} = 0.903 > 0.9,\,{\text{GFI}} = 0.880 < 0.9,\,{\text{TLI}} = 0.907 > 0.9} \right)$$\end{document}RMSEA=0.049<0.08,CFI=0.903>0.9,GFI=0.880<0.9,TLI=0.907>0.9. The fit indices for the three-domain model were statistically superior to the five-domain model. There were, however, issues of insufficient discriminant validity as some average variance extracts were smaller than the corresponding maximum shared variance. The three-domain model was invariant for all constrained aspects of the structural model across age, which is an important risk factor for most chronic diseases.
Conclusion The validity tests suggest that the SHS-Q25 can measure SHS in a Ghanaian population. It can be recommended as a screening tool to early detect chronic diseases especially in developing countries where access to facilities is diminished.
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Affiliation(s)
- Eric Adua
- Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.,Shantou University of Medical College, Shantou, China.,Department of Biochemistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Ebenezer Afrifa-Yamoah
- School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia
| | - Kwasi Frimpong
- School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.,Ghana Institute of Management and Public Administration, Accra, Ghana
| | - Esther Adama
- School of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia
| | - Shantha P Karthigesu
- Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia
| | - Enoch Odame Anto
- Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.,Department of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Emmanuel Aboagye
- Institute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 17177, Stockholm, Sweden
| | - Yuxiang Yan
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Xuerui Tan
- Shantou University of Medical College, Shantou, China
| | - Wei Wang
- Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia. .,Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China.
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22
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Mahara G, Liang J, Zhang Z, Ge Q, Zhang J. Associated Factors of Suboptimal Health Status Among Adolescents in China: A Cross-Sectional Study. J Multidiscip Healthc 2021; 14:1063-1071. [PMID: 33994792 PMCID: PMC8114174 DOI: 10.2147/jmdh.s302826] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/01/2021] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Suboptimal health status (SHS) is a state between health and disease, has several adverse effects, although, its main underlying mechanism is still unclear. This study aimed to investigate SHS and its associated factors of adolescents. METHODS A community-based cross-sectional study was conducted in the three different geographic locations of China (Shanxi, Guangzhou, and Tibet). A multidimensional sub-health questionnaire of adolescent (MSQA) is used to evaluate SHS. Independent two-sample K-S test was performed for the quantitative data as the non-parametric test, whereas Chi-square test method was applied to explore the difference of discrete variables data between groups. Then finally, multiple logistic regression analysis was applied to analyze the influential factors of SHS. RESULTS Among 1461 respondents (between 15 and 18 years old), females proportion (56.47%) was higher than males (43.53%) where SHS was higher in Shanxi followed by Tibet and then Guangdong. The rural area, grade, lack of sleep time, home visit in a week, lack of exercise, a heavy burden of study, smoking, drinking, and fewer friends were the risk factors of SHS, while families living status, seeking help and extroversion were the protective factors. CONCLUSION SHS is significantly associated with behavior and lifestyle-related factors. For comprehensively prevention and control of the SHS, it is urgently needed to reduce the risk factors and enhance the protective factors among adolescents.
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Affiliation(s)
- Gehendra Mahara
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China
| | - Jiazhi Liang
- Center for Disease Control and Prevention at Haizhu, Guangzhou, Guangdong, 510288, People’s Republic of China
| | - Zhirong Zhang
- Nanhai District People’s Hospital of Foshan City, Foshan, Guangdong, People’s Republic of China
| | - Qi Ge
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China
| | - Jinxin Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China
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23
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Xue Y, Huang Z, Liu G, Feng Y, Xu M, Jiang L, Xu J. Association analysis of Suboptimal health Status: a cross-sectional study in China. PeerJ 2020; 8:e10508. [PMID: 33365207 PMCID: PMC7735074 DOI: 10.7717/peerj.10508] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/16/2020] [Indexed: 12/15/2022] Open
Abstract
Background Suboptimal health status (SHS) among urban residents is commonplace in China. However, factors influencing SHS have not been thoroughly explored, especially with regard to the effects of internal factors (e.g., personality and health awareness) on SHS. Methods A cross-sectional study was conducted with a nationally representative sample of 5460 Chinese urban residents..SHS was measured using the Suboptimal Health Mesurement Scale Version 1.0. Demographic information, and information pertaining to lifestyle behaviors, environmental factors, and internal factors were abtained through a questionnaire. The associations between demographic information, lifestyle behaviors, environmental factors, internal factors and SHS were assessed using logistic regression. Results Of the 5460 participants (with a mean age of 41.56 ± 16.14 years), 2640 (48.4 %) were men. Out of 36 variables, 23 were significantly associated with SHS: age (odds ratio [OR]: 1.014), an education level of high school/junior college (OR: 1.443) , marital status (OR: 1.899), area of registered permanent residence (OR: 0.767), monthly household income (p < 0.001) , exposure to second-hand smoke (p = 0.001), alcohol drinking (OR: 1.284), bad eating habits (OR: 1.717), not sleeping before 11 p.m. every day (p = 0.002), spending time online more than five hours a day (OR: 1.526), having a good relationship with parents during one’s growth period (OR: 0.602), living with good quality air (OR:0.817), living in not crowded conditions (OR:0.636), having a harmonious neighborhood (OR:0.775), having adequate fitness facilities (OR:0.783), one’s health being affected by two-child policy (OR: 1.468) and medical policies (OR: 1.265) , high adverse quotient (OR: 0.488), many (≥3 kinds) interests and hobbies (OR: 0.617), mature and steady personality traits (OR: 0.469) , a high attention to one’s health (OR: 0.833), and effective health promotion induced by leading a leisurely lifestyle (OR: 0.466) were significantly associated with SHS. Conclusions All these variables were included demographic information, lifestyle behaviors, environmental factors and internal factors. Our study supports the benefits of controlling both internal and external factors in preventing suboptimal health.
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Affiliation(s)
- Yunlian Xue
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.,Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, Guangdong Province, China.,School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhuomin Huang
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.,School of Health Services Management, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Guihao Liu
- Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, Guangdong Province, China
| | - Yefang Feng
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.,School of Health Services Management, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Mengyao Xu
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.,School of Health Services Management, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Lijie Jiang
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.,School of Health Services Management, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Jun Xu
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
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24
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Zhu J, Ying W, Zhang L, Peng G, Chen W, Anto EO, Wang X, Lu N, Gao S, Wu G, Yan J, Ye J, Wu S, Yu C, Yue M, Huang X, Xu N, Ying P, Chen Y, Tan X, Wang W. Psychological symptoms in Chinese nurses may be associated with predisposition to chronic disease: a cross-sectional study of suboptimal health status. EPMA J 2020; 11:551-563. [PMID: 33078069 PMCID: PMC7556591 DOI: 10.1007/s13167-020-00225-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 09/28/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Suboptimal health status (SHS) is a reversible state between ideal health and illness and it can be effectively reversed by risk prediction, disease prevention, and personalized medicine under the global background of predictive, preventive, and personalized medicine (PPPM) concepts. More and more Chinese nurses have been troubled by psychological symptoms (PS). The correlation between PS and SHS is unclear in nurses. The purpose of current study is to investigate the prevalence of SHS and PS in Chinese nurses and the relationship between SHS and PS along with predisposing factors as well as to discuss the feasibility of improving health status and preventing diseases according to PPPM concepts in Chinese nurses. METHODS A cross-sectional study was conducted with the cluster sampling method among 9793 registered nurses in Foshan city, China. SHS was evaluated with the Suboptimal Health Status Questionnaire-25 (SHSQ-25). Meanwhile, the PS of depression and anxiety were evaluated with Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) self-assessment questionnaires. The relationship between PS and SHS in Chinese nurses was subsequently analyzed. RESULTS Among the 9793 participants, 6107 nurses were included in the final analysis. The prevalence of SHS in the participants was 74.21% (4532/6107) while the symptoms of depression and anxiety were 47.62% (2908/6107) and 24.59% (1502/6107) respectively. The prevalence of SHS in the participants with depression and anxiety was significantly higher than those without the symptoms of depression (83.3% vs 16.7%, P < 0.001) and anxiety (94.2% vs 5.8%, P < 0.0001). The ratio of exercise habit was significantly lower than that of non-exercise habit (68.8% vs 78.4%, P < 0.001) in SHS group. CONCLUSIONS There is a high prevalence of SHS and PS in Chinese nurses. PS in Chinese nurses are associated with SHS. Physical exercise is a protective factor for SHS and PS so that the exercise should be strongly recommended as a valuable preventive measure well in the agreement with PPPM philosophy. Along with SDS and SAS, SHSQ-25 should also be highly recommended and applied as a novel predictive/preventive tool for the health measures from the perspectives of PPPM in view of susceptible population and individual screening, the predisposition to chronic disease preventing, personalization of intervention, and the ideal health state restoring.
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Affiliation(s)
- Jinxiu Zhu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
- Institute of Clinical Electrocardiography, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Wenjuan Ying
- Nursing Research Institute, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Li Zhang
- Nursing Department, Foshan First People’s Hospital, Foshan, 528000 Guangdong China
| | - Gangyi Peng
- Division of Medical Administration, Health commission of Guangdong Province, Guangzhou, 510060 China
| | - Weiju Chen
- Nursing Department, The First Affiliated Hospital, Ji’nan University, Guangzhou, 510630 China
| | - Enoch Odame Anto
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
| | - Xueqing Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
| | - Nan Lu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Shanshan Gao
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Guihai Wu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Jingyi Yan
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Jianfeng Ye
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Shenglin Wu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Chengzhi Yu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Minghui Yue
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Xiru Huang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Nuo Xu
- Nursing Research Institute, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Pengxiang Ying
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Yanhong Chen
- Nursing Research Institute, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Xuerui Tan
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
- Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Wei Wang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
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25
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Gao L, Xie Y, Jia C, Wang W. Prevalence of depression among Chinese university students: a systematic review and meta-analysis. Sci Rep 2020; 10:15897. [PMID: 32985593 PMCID: PMC7522998 DOI: 10.1038/s41598-020-72998-1] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 09/08/2020] [Indexed: 12/08/2022] Open
Abstract
Estimates of the depression prevalence among Chinese university students vary considerably across studies. This systematic review and meta-analysis aimed to comprehensively analyze the depression prevalence among Chinese university students. We searched four electronic databases with the search terms of depression, China, university student, and questionnaire. Studies reporting depression among Chinese university students were included in the analysis. Two reviewers independently extracted the data and assessed the qualities of the studies. The package of “meta” in R Foundation for Statistical Computing was used to calculate an overall proportion in a random-effects model with 95% confidence intervals. Subgroup analysis was conducted to analyze the influencing factors on the depression prevalence. Any conflict in the data analysis was discussed by all the reviewers. A total of 113 studies were included in the meta-analysis. The overall prevalence of depression among Chinese university students was shown to be 28.4% (n = 185,787), with 95%CI from 25.7 to 31.2%. The overall depression prevalence among Chinese university students was still relatively high. More efforts need to be done to provide better mental healthcare to university students in China.
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Affiliation(s)
- Li Gao
- Beijing University of Chinese Medicine, Beijing, 100029, China. .,St Michael's Hospital, University of Toronto, Toronto, M5B 1W8, Canada.
| | | | - Chunhua Jia
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Wei Wang
- Beijing University of Chinese Medicine, Beijing, 100029, China.
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26
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El Ansari W, Salam A. Is Achieving the Guidelines of Four Forms of Physical Activity Associated with Less Self-Reported Health Complaints? Cross-Sectional Study of Undergraduates at the University of Turku, Finland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155595. [PMID: 32756425 PMCID: PMC7432588 DOI: 10.3390/ijerph17155595] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/22/2020] [Accepted: 07/31/2020] [Indexed: 12/12/2022]
Abstract
Very little research has assessed the physical activity (PA) of university students in in Finland, and their associations with self-reported health complaints (HCs), whilst simultaneously accounting for a range of other potential confounders. Students at the University of Turku (1177) completed an online health and wellbeing questionnaire that assessed 22 physical and somatic HCs, and students' achievement of the international guidelines of four forms of PA (moderate, vigorous, moderate-to-vigorous and muscle strengthening PA; MPA, VPA, MVPA, MSPA respectively). We also explored the associations between HCs and PA, controlling for sociodemographic and health confounders (age, sex, year of study, marital status, accommodation during semesters, health awareness). Factor analysis reduced the HCs into three factors (psychological, pains/aches, circulatory/breathing). Bivariate relationships (no controlling for confounders) between these 3 factors and four forms of PA guideline achievement showed significant effects of achieving the PA guidelines against various groups of HCs, where more strenuous PA was associated with significantly less HCs in a step-ladder pattern. Multiple regression analyses (controlling for confounders) showed that achievement of PA guidelines was significantly independently associated with self-reported HCs scores in most cases. Psychological HCs were negatively associated with achieving any type of PA; pains/aches were negatively associated with achieving two types of PA or with achieving MSPA guidelines; and circulatory/breathing HCs were negatively associated with achieving the VPA guidelines only. This is the first study in Finland to examine such relationships, and highlights the critical role of PA for the health of these young adults. Programs and policies to strengthen and improve the PA of university students would be beneficial, recognizing the benefits of instilling life-long PA habits among this group of young adults.
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Affiliation(s)
- Walid El Ansari
- Department of Surgery, Hamad General Hospital, Doha 3050, Qatar
- College of Medicine, Qatar University, Doha 3050, Qatar
- School of Health and Education, University of Skovde, 54128 Skövde, Sweden
- Correspondence:
| | - Abdul Salam
- Department of Epidemiology and Biostatistics, King Fahad Specialist Hospital, Dammam 31444, Saudi Arabia;
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Ding G, Zhao X, Wang Y, Song D, Chen D, Deng Y, Xing W, Dong H, Zhou Y, Li D, Hou H. Evaluation of the relationship between cognitive impairment and suboptimal health status in a northern Chinese population: a cross-sectional study. J Glob Health 2020; 10:010804. [PMID: 32257168 PMCID: PMC7101211 DOI: 10.7189/jogh.10.010804] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background Suboptimal health status (SHS) is an intermediate health status between ideal health and illness. As a determinant of cardiovascular disease and stroke, SHS is hypothesized to be associated with the development of cognitive impairment and dementia. This study aimed to investigate whether individuals with SHS have poor cognitive ability based on a community-based cohort in northern Chinese population. Methods 3524 participants who were enrolled in Jidong cohort 2015 in Tangshan City were investigated in this study. Cognitive function was measured with the Mini-Mental State Examination (MMSE). SHS level was evaluated using a self-reporting Suboptimal Health Status Questionnaire-25 (SHSQ-25). The relationship between SHS and cognitive function was analyzed with logistic regression analysis, by which odds ratio (OR) and 95% confidence interval (CI) were calculated. Results The prevalence of cognitive impairment was 3.4% (121/3524) in our study, with the prevalence rates of 1.9% (34/1750) among men and 4.9% (87/1774) in women. The medians of total score of MMSE were 28 (interquartile range (IQR) = 27-29) in the SHS group, and 29 (IQR = 27-30) in the ideal health group. Logistic regression analysis showed that SHS was significantly correlated with cognitive impairment (adjusted OR = 2.936, 95% CI = 1.428-6.033). With regard to gender, the OR was 5.067 (95% CI = 1.346-19.068) in men, which was higher than that in women (OR = 2.324, 95% CI = 1.130-4.779). Conclusions SHS might be a risk factor for cognitive function in northern Chinese population. Early screening of SHS individuals, as well as urgent treatment of SHS might contribute to the prevention of cognitive impairment.
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Affiliation(s)
- Guoyong Ding
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.,Equal authorship
| | - Xuan Zhao
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China.,Equal authorship
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,Equal authorship
| | - Daiyu Song
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Dongzhen Chen
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Yang Deng
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Weijia Xing
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Hualei Dong
- Taishan Hospital of Shandong Province, Taian, Shandong Province, China
| | - Yong Zhou
- Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Dong Li
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China
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Liu W, Li J, Huang Y, Yu B, Qin R, Cao X. The relationship between left-behind experience and obsessive-compulsive symptoms in college students in China: the mediation effect of self-esteem. PSYCHOL HEALTH MED 2020; 26:644-655. [PMID: 32274935 DOI: 10.1080/13548506.2020.1748667] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/08/2022]
Abstract
The number of left-behind children in China is gradually increasing, and college students with left-behind experience (LBE) have more severe mental health problems. The aim of this study was to evaluate the association of LBE and the obsessive-compulsive (OC) symptoms of college students, explore the mediation role of self-esteem in the relationship between them. A total of 4145 college students were recruited in Anhui province, China. The Chinese Obsessive-Compulsive Inventory-Revised (OCI-R) and Rosenberg Self-Esteem Scale (RSES) were used to measure OC symptoms and self-esteem. Bootstrap program was used to test the mediation effect. The results showed that the detection rate of OC symptoms was 24.1%. Multiple linear regression analyses found that LBE was positively associated with OC symptoms (t = 2.928, p = 0.003). High self-esteem scores in college students were significantly associated with a lower probability of OC symptoms (t = -17.023, p < 0.001). Furthermore, the test of Bootstrap showed that the indirect effect of self-esteem between LBE and OC symptoms was significant for 95% CI (LLCI = 0.3586, ULCL = 0.7264) and the mediation effect was 0.5396. The ratio of the indirect effect to the total effect was 0.408. OC symptoms were common mental health problems among college students. LBE had a positive predictive effect for OC symptomsand self-esteem plays a mediating role between them. Improving self-esteem will be beneficial to prevent and control the OC symptoms of college students.
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Affiliation(s)
- Wei Liu
- Department of Maternal and Child Heath Care, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Juan Li
- Department of Maternal and Child Heath Care, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yixuan Huang
- Department of Clinical Medicine, the First School of Clinical Medicine, Anhui Medical University, Hefei, Anhui, China.,Faculty of Science, McGill University, Montreal, Québec, Canada
| | - Banglin Yu
- Department of Maternal and Child Heath Care, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Ruofang Qin
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Xiujing Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,Douglas Mental Health University Institute, Montreal, Québec, Canada
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Prevalence and Associated Lifestyle Factors of Suboptimal Health Status among Chinese Children Using a Multi-Level Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17051497. [PMID: 32110905 PMCID: PMC7084743 DOI: 10.3390/ijerph17051497] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 02/17/2020] [Accepted: 02/24/2020] [Indexed: 12/13/2022]
Abstract
Chinese children are facing health challenges brought by chronic non-communicable diseases, such as physical problems and psychological related health problems. Childhood represents a critical life period when the long-term dietary and lifestyle behaviors are formed. It is necessary to survey the prevalence of suboptimal health status (SHS) among Chinese children and to research the relationship between SHS and lifestyles. This study aimed to examine the prevalence of SHS among Chinese children using a large-scale population survey sample covering school students and nonstudent children, and clarified the relationships between SHS and lifestyle factors using multi-level models controlled for the cluster effect of location and the confounding effect of demographics. Multi-level generalized estimating equation models were used to examine the relationships between SHS and lifestyle factors. Prevalence ratios (PR) and 95% confidence intervals (CI) were used to assess the strength of these relationships. Of the 29,560 children, 14,393 reported one or more SHS symptoms, giving a SHS prevalence of 48.69%. The prevalence of SHS for boys (46.07%) was lower than that for girls (51.05%). After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, lifestyle factors associated with SHS were: less sleep duration, current smokers (PR = 1.085, 95%CI: 1.027–1.147), current drinkers (PR = 1.072, 95%CI: 1.016–1.131), children’ parents suffering from chronic diseases (PR = 1.294, 95%CI: 1.179–1.421), poor sleep quality (PR = 1.470, 95%CI: 1.394–1.550), stress (PR = 1.545, 95%CI: 1.398–1.707), negative life events (PR = 1.237, 95%CI: 1.088–1.406), hypertension (PR = 1.046, 95%CI: 1.009–1.084), unhealthy diet choice (PR = 1.091, 95%CI: 1.051–1.133) and irregular meal time (PR = 1.210, 95%CI: 1.163–1.259). Children who could exercise regularly (PR = 0.897, 95%CI: 0.868–0.927) and those with regular medical checkup (PR = 0.891, 95%CI: 0.854–0.929) were associated with lower prevalence probability of SHS. SHS has become a serious public health challenge for Chinese children. Unhealthy lifestyles were closely associated with SHS. Implementation of preventative strategies are needed to reduce the potential SHS burden associated with these widespread high-risk unhealthy lifestyle behaviors.
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Prevalence of high blood pressure and high normal blood pressure among 7- to 17-year-old children and adolescents in developed regions, China from 2014 to 2017: using new national blood pressure reference for Chinese children and adolescents. J Hum Hypertens 2019; 33:400-410. [PMID: 30804460 DOI: 10.1038/s41371-019-0183-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 02/04/2019] [Accepted: 02/05/2019] [Indexed: 12/14/2022]
Abstract
As the first blood pressure (BP) reference considering influence of height in China, national blood pressure reference for Chinese han children and adolescents aged 7 to 17 years (CCBP) was issued in 2017. The current study aimed to observe the short-term trends in BP and prevalence of high blood pressure (HBP) and high normal blood pressure (HNBP) using this CCBP reference in Suzhou, China. Data of children and adolescents aged 7 to 17 years were collected from 2014 to 2017. Total population of 2014 to 2017 were 617,383, 684,453, 695,302, and 774,605, respectively, and proportions of males were 54.1%, 54.0%, 53.9%, and 53.8%, respectively. P-trend tests were conducted to examine the trends of BP among different age, region, body mass index, and socioeconomic status groups for each gender. Multivariate logistic regression analyses found secular decreases in prevalence of HBP and HNBP, after adjustment for potential confounders. Compared with that in 2014, the odds ratios (95% confidence intervals) for total study population were 0.936 (0.928, 0.944) in 2015, 0.879 (0.872, 0.887) in 2016, and 0.934 (0.926, 0.941) in 2017. In conclusion, prevalence of HBP and HNBP decreased among children and adolescents in developed regions of China from 2014 to 2017, and a slight rise were found in 2017.
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Ge S, Xu X, Zhang J, Hou H, Wang H, Liu D, Zhang X, Song M, Li D, Zhou Y, Wang Y, Wang W. Suboptimal health status as an independent risk factor for type 2 diabetes mellitus in a community-based cohort: the China suboptimal health cohort study. EPMA J 2019; 10:65-72. [PMID: 30984315 DOI: 10.1007/s13167-019-0159-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 01/11/2019] [Indexed: 12/17/2022]
Abstract
Background The prevalence of diabetes, constituted chiefly by type 2 diabetes mellitus (T2DM), is a global public health threat. Suboptimal health status (SHS), a physical state between health and disease, might contribute to the progression or development of T2DM. Methods We conducted a prospective cohort study, based on the China Suboptimal Health Cohort Study (COACS), to understand the impact of SHS on the progress of T2DM. We examined associations between SHS and T2DM outcomes using multivariable logistic regression models and constructed predictive models for T2DM onset based on SHS. Results A total of 61 participants developed T2DM after an average of 3.1 years of follow-up. Participants with higher SHS scores had more T2DM outcomes (p = 0.036). Moreover, compared with the lowest quartile of SHS scores, participants with fourth, third, and second quartile SHS scores were found to be associated with a 1.7-fold, 1.6-fold, and 1.5-fold risk of developing T2DM, respectively. The predictive model constructed with SHS had higher discriminatory power (AUC = 0.848) than the model without SHS (AUC = 0.795). Conclusions The present study suggests that a higher SHS score is associated with a higher incidence of T2DM. SHS is a new independent risk factor for T2DM and has the capability to act as a predictive tool for T2DM onset. The evaluation of SHS combined with the analysis of modifiable risk factors for SHS allows the risk stratification of T2DM, which may consequently contribute to the prevention of T2DM development. These findings might require further validation in a longer-term follow-up study.
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Affiliation(s)
- Siqi Ge
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China.,2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xizhu Xu
- 3School of Public Health, Taishan Medical University, Taian, 271000 China
| | - Jie Zhang
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China
| | - Haifeng Hou
- 3School of Public Health, Taishan Medical University, Taian, 271000 China
| | - Hao Wang
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China.,4School of Medical and Health Sciences, Edith Cowan University, Perth, WA6027 Australia
| | - Di Liu
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China
| | - Xiaoyu Zhang
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China
| | - Manshu Song
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China.,4School of Medical and Health Sciences, Edith Cowan University, Perth, WA6027 Australia
| | - Dong Li
- 3School of Public Health, Taishan Medical University, Taian, 271000 China
| | - Yong Zhou
- 5Department of Neurology, Sanbo Brain Hospital, Capital Medical University, Beijing, 100093 China
| | - Youxin Wang
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China.,4School of Medical and Health Sciences, Edith Cowan University, Perth, WA6027 Australia
| | - Wei Wang
- 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 Youanmen Xitoutiao, Beijing, 100069 China.,3School of Public Health, Taishan Medical University, Taian, 271000 China.,4School of Medical and Health Sciences, Edith Cowan University, Perth, WA6027 Australia
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