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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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Lu L, Chen Y. Association Between Suboptimal Health Status and Health-Related Productivity Loss in Primary Healthcare Workers in China: a Cross-Sectional Survey. Risk Manag Healthc Policy 2024; 17:1349-1359. [PMID: 38803623 PMCID: PMC11129702 DOI: 10.2147/rmhp.s456058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
Objective This study aimed to clarify the association between suboptimal health status and health-related productivity loss among primary healthcare workers in China. Material and Methods A field questionnaire survey was conducted with a multistage sampling among primary healthcare workers. The data on sub-health and health-related productivity loss were collected using the Sub-health Measurement Scale Version 1.0 and Work Productivity and Activity Impairment Questionnaire: General Health, respectively. Ordinary least squares regression was used to evaluate the association of the suboptimal health and health-related productivity loss. Subgroup analyses were performed by occupation (physician and nurse). Results Front-line primary healthcare workers (N = 1709) from 31 provinces in China responded to the survey. Of all participants, 73.43% experienced suboptimal health. The status of being in physical suboptimal health (Coef. = 0.050, p < 0.001, 95% CI = [0.031,0.070]) and mental suboptimal health (Coef. = 0.040, p < 0.001, 95% CI = [0.020,0.059]) status exerted significant effect on the extent of health-related productivity loss among primary healthcare workers in China. Nurses in social adaptation suboptimal health status (Coef. = 0.030, p = 0.027, 95% CI = [0.003,0.057]) had significant effect on health-related productivity loss. Conclusion The prevalence of suboptimal health is high among the respondents. Providing support for primary healthcare workers from bio-psycho-social aspects is an effective measure to promote their occupational health and improve their productivity.
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Affiliation(s)
- Liang Lu
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing City, Jiangsu, People’s Republic of China
| | - Yongfa Chen
- School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing City, Jiangsu, People’s Republic of China
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Moin M, Maqsood A, Haider MM, Asghar H, Rizvi KF, Shqaidef A, A. Sharif R, Suleman G, Das G, Alam MK, Ahmed N. The Association of Socioeconomic and Lifestyle Factors with the Oral Health Status in School-Age Children from Pakistan: A Cross-Sectional Study. Healthcare (Basel) 2023; 11:healthcare11050756. [PMID: 36900761 PMCID: PMC10001539 DOI: 10.3390/healthcare11050756] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/25/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
The data on how lifestyle factors of school-going children affect their oral health are not sufficient; therefore, there is a need to analyze the adverse effects of poor lifestyle habits and the role of mothers' education on oral health. The aim of this study was to analyze the association of socioeconomic and lifestyle factors with the oral health status of school-going children through a structured questionnaire and oral examination. Ninety-five (26.5%) children were from class 1. One hundred eighty-seven (52.1%) mothers were educated while 172 (47.9%) were uneducated. Two hundred seventy-six (76.9%) children had never visited the dentist. The results indicate that dental health behavior is associated with lifestyle factors as well as socio-demographic variables. Parent education and awareness regarding oral health plays a major role in determining the oral health of children.
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Affiliation(s)
- Maria Moin
- Department of Community Dentistry, Bahria University Dental College, Karachi 75530, Pakistan
| | - Afsheen Maqsood
- Department of Oral Pathology, Bahria University Dental College, Karachi 75530, Pakistan
- Correspondence: (A.M.); (M.K.A.)
| | - Muhammad Mohsin Haider
- Department of Community Dentistry, Bahria University Dental College, Karachi 75530, Pakistan
| | - Hajra Asghar
- Department of Community Dentistry, Bahria University Dental College, Karachi 75530, Pakistan
| | - Kulsoom Fatima Rizvi
- Department of Community Dentistry, Bahria University Dental College, Karachi 75530, Pakistan
| | - Abedalrahman Shqaidef
- Department of Orthodontics, Faculty of Dentistry, Ajman University, Ajman 346, United Arab Emirates
| | - Rania A. Sharif
- Department of Prosthodontics, College of Dentistry, King Khalid University, Abha 62529, Saudi Arabia
| | - Ghazala Suleman
- Department of Prosthodontics, College of Dentistry, King Khalid University, Abha 62529, Saudi Arabia
| | - Gotam Das
- Department of Prosthodontics, College of Dentistry, King Khalid University, Abha 62529, Saudi Arabia
| | - Mohammad Khursheed Alam
- Department of Preventive Dentistry, College of Dentistry, Jouf University, Sakaka 72345, Saudi Arabia
- Center for Transdisciplinary Research (CFTR), Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India
- Department of Public Health, Faculty of Allied Health Sciences, Daffodil International University, Dhaka 1207, Bangladesh
- Correspondence: (A.M.); (M.K.A.)
| | - Naseer Ahmed
- Department of Prosthodontics, Altamash Institute of Dental Medicine, Karachi 75500, Pakistan
- Prosthodontics unit, School of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu 16150, Malaysia
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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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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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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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