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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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Yu L, Liu W, Wang J, Jin Z, Meng R, Wu Z, Zheng Y, Guo Z. Evaluating the association between effort-reward imbalance and suboptimal health status among hospital nurses: a cross-sectional study. Int J Occup Med Environ Health 2024; 37:165-175. [PMID: 38529760 PMCID: PMC11142399 DOI: 10.13075/ijomeh.1896.02223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 01/30/2024] [Indexed: 03/27/2024] Open
Abstract
OBJECTIVES Occupational stress is a common complaint in nurses, who perceived more sense of effort-reward imbalance (ERI). Suboptimal health status (SHS) is a state between health and disease. However, the correlation between ERI and SHS is unclear. Therefore, the aim of this study was to examine the prevalence of SHS and ERI and evaluate the relationship between ERI and SHS in clinical nurses by a cross-sectional study. MATERIAL AND METHODS The current cross-sectional study was conducted through an online survey at Dongping People's Hospital in China. A total of 633 completed surveys were received. Effort-reward imbalance was measured by subscales of the ERI questionnaire. SHS was measured by the Suboptimal Health Status Questionnaire - 25 (SHSQ-25). The relationship between ERI and SHS in nurses was subsequently assessed by Spearman's correlation coefficient and logistic regression model. RESULTS The mean age of the optimal health status (OHS) group (M±SD 26.3±7.3 years) was younger than the SHS group (M±SD 30.3±6.9 years). The prevalence of SHS was 54.5% (345/633). Female nurses aged ≥30 years, a junior college or university graduate educational level, smokers, and nurses without regular exercise were at a higher risk of SHS. In Spearman's correlation analysis, ERI reflected by the effort-reward ratio was correlated with SHSQ-25 score (r = 0.662, p < 0.001). In logistic regression, ERI was strongly associated with SHS after potential confounding factors adjusting (OR 27.924, 95% CI 22.845-34.132). CONCLUSIONS The prevalence of SHS was significantly high in clinical nurses. Administrators should pay more attention to health status of female nurses aged ≥30 years, with a junior college or bachelor's degree, smoking, and without regular exercise to reduce the SHS and ERI. Int J Occup Med Environ Health. 2024;37(2):166-75.
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Affiliation(s)
- Leilei Yu
- The Affiliated Tai'an City Central Hospital of Qingdao University, Department of Endocrinology, Tai'an, China
| | - Weiting Liu
- Edith Cowan University, School of Nursing and Midwifery, Joondalup, Australia
| | - Jingzheng Wang
- Dongping People's Hospital, Department of Laboratory, Tai'an, China
| | - Ziyao Jin
- Zhejiang University School of Medicine, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Stomatology Hospital, School of Stomatology, Hangzhou, China
| | - Ruoyu Meng
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Department of Minimally Invasive Comprehensive Treatment of Cancer, Ji'nan, China
| | - Zhiyuan Wu
- Capital Medical University, Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Beijing, China
- Edith Cowan University, Centre for Precision Health, Joondalup, Australia
| | - Yuanyuan Zheng
- The Affiliated Tai'an City Central Hospital of Qingdao University, Department of Radiotherapy, Tai'an, China
| | - Zheng Guo
- Edith Cowan University, Centre for Precision Health, Joondalup, Australia
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Alzain MA, Asweto CO, Hassan SUN, Saeed ME, Kassar A, Ali KEM, Ghorbel M, Zrieq R, Alsaif B, Wang W. Assessing suboptimal health status in the Saudi population: Translation and validation of the SHSQ-25 questionnaire. J Glob Health 2024; 14:04030. [PMID: 38305242 PMCID: PMC10836270 DOI: 10.7189/jogh.14.04030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
Background Suboptimal Health Status (SHS) is realised as a vital feature for improving global health. However, the Arabian world does not have a validated instrument for screening SHS in their population. Therefore, the study aimed to evaluate the psychometric properties of Arabic-translated SHS (ASHSQ-25) in the Saudi Arabian population. Methods We conducted a cross-sectional study among the conveniently sampled 1590 participants from the Saudi population (with a 97.4% response rate). The data was gathered through an online survey and then exported into SPSS and AMOS version 26.0 for analysis. Mann-Whitney and Kruskal-Wallis tests were used to identify the median difference between demographic groups. The one-tailed 90% upper limit of SHS scores was chosen as the cut-off criteria for SHS. Reliability and confirmatory analysis were performed for the psychometric evaluation of ASHSQ-25 in the Saudi Arabian context. Results This study demonstrates that the ASHSQ-25 has good internal consistency, interclass correlation coefficient (ICC) = 0.92; 95% confidence interval (CI) = 0.91-0.93) and reliability (Cronbach's α = 0.92). The confirmatory factor analysis (CFA) results indicated a good fit of the databased on the CMIN/degrees of freedom (df) = 4.461, comparative fit index (CFI) = 0.94, Tucker Lewis index (TLI) = 0.93, and Root Mean Square Error of Approximation (RMSEA) = 0.05. The result factor loadings for each item were high (≥ 0.55), except for one item from the immune system subscale. The SHS cut-off point for ASHSQ-25 was 33, leading to a 23.7% prevalence of SHS. Conclusions This study reveals that ASHSQ-25 has appropriate internal consistency and structural validity to assess SHS in an Arabic-speaking population; therefore, it is recommended.
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Affiliation(s)
- Mohamed Ali Alzain
- Department of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia
- Department of Community Medicine, Faculty of Medicine and Health Sciences, University of Dongola, Dongola, Sudan
| | | | - Sehar-Un-Nisa Hassan
- Department of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia
| | - Mohammed Elshiekh Saeed
- Faculty of Medicine, National University-Sudan, Khartoum, Sudan
- Department of Physiology, Faculty of Medicine, University of Dongola, Dongola, Sudan
| | - Ahmed Kassar
- Department of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia
| | - Kamal Elbssir Mohammed Ali
- Department of Community Health, Occupation Health and Safety Program, Northern Boarder University, Arar, Saudi Arabia
| | - Mouna Ghorbel
- Department of Biology, College of Sciences, University of Hail, P.O., Ha'il City, Saudi Arabia
| | - Rafat Zrieq
- Department of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia
- Applied Science Research Centre, Applied Science Private University, Amman, Jordan
| | - Bandar Alsaif
- Department of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia
| | - Wei Wang
- Clinical Research Center, First Affiliated Hospital, Shantou University Medical College, Shantou, China
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
- On behalf of Global Health Epidemiology Research Group (GHERG) & Global Suboptimal Health Consortium (GSHC)
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Ayubi E, Khazaei S, Borzouei S, Soltanian AR, Ghelichkhani S, Karbin F, Yan Y, Song M, Tian C, Zhang W, Sun J, Wang W. Validity and reliability of the Persian version of the Suboptimal Health Status Questionnaire among university staff in Iran. J Glob Health 2023; 13:04162. [PMID: 38098436 PMCID: PMC10722246 DOI: 10.7189/jogh.13.04162] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2023] Open
Abstract
Background Suboptimal Health Status Questionnaire-25 (SHSQ-25) is an established tool for measuring a precision health state between health and illness. The present study aims to assess the validity and reliability of a Persian version of SHSQ-25 (P-SHSQ-25) in a university staff Iranian population. Methods A sample of 316 academic and supporting staff (163 males, age range from 23 to 64 years old) from Hamadan University of Medical Sciences, Hamadan, Iran was recruited in this population-based cross-sectional study with a questionnaire validation from Apri1 to October 2022. Forward-backward translation method was performed for the SHSQ-25 translation from English to Persian. Internal reliability, content, convergence, discriminative and construct validity of the P-SHSQ-25 were examined. The factorial structure of the P-SHSQ-25 across groups was examined using measurement invariant test. Results In the translation process, the conceptual equivalence of the P-SHSQ-25 with the English version was confirmed. The item-content validity index and content validity ratio of all P-SHSQ-25 items were higher than the cut-off values of 0.70 and 0.62, respectively. Cronbach's α was higher than 0.70 for all P-SHSQ-25 domains. The confirmatory factor analysis (CFA) showed the fitness of five factors on the data set (comparative fit index = 0.88, and root mean square error of approximation = 0.07). The CFA model fit did not change substantially across sex, age, occupation, economic status, and body mass index (Δ comparative fit index (CFI)<0.01). Conclusions The P-SHSQ-25 can be used as a reliable and valid tool to measure health status for screening pre-chronic disease conditions in a primary care setting among Iranian population.
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Affiliation(s)
- Erfan Ayubi
- Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Salman Khazaei
- Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Shiva Borzouei
- Department of Endocrinology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Reza Soltanian
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Samereh Ghelichkhani
- Mother and Child Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fatemeh Karbin
- Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Yuxiang Yan
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Cuihong Tian
- Clinical Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Center for Precision Health, Edith Cowan University, Joondalup, WA, Australia
| | - Wei Zhang
- Centre for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Sun
- School of Medicine and Dentistry, and Institute for Integrated and Intelligent Systems, Griffith University, Gold Coast, Australia
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Clinical Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Center for Precision Health, Edith Cowan University, Joondalup, WA, Australia
| | - Global Health Epidemiology Research Group (GHERG)
- Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
- Department of Endocrinology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Mother and Child Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Clinical Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Centre for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- School of Medicine and Dentistry, and Institute for Integrated and Intelligent Systems, Griffith University, Gold Coast, Australia
- Center for Precision Health, Edith Cowan University, Joondalup, WA, Australia
| | - Global Suboptimal Health Consortium (GSHC)
- Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
- Department of Endocrinology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Mother and Child Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Clinical Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Centre for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- School of Medicine and Dentistry, and Institute for Integrated and Intelligent Systems, Griffith University, Gold Coast, Australia
- Center for Precision Health, Edith Cowan University, Joondalup, WA, Australia
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Wang J, Wang Y, Guo Z, Lin Z, Jin X, Niu H, Wu Y, Tang L, Hou H. Influence of lifestyle on suboptimal health: Insights from a national cross-sectional survey in China. J Glob Health 2023; 13:04151. [PMID: 37974435 PMCID: PMC10654550 DOI: 10.7189/jogh.13.04151] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023] Open
Abstract
Background Suboptimal health status (SHS) is a non-clinical or pre-disease state between optimal/ideal health and disease. While its etiology remains unclear, lifestyle is considered one of the most important risk factors. We aimed to examine the effects of lifestyles on SHS through a nationwide survey in China. Methods We conducted a cross-sectional survey in 148 cities across China between 20 June and 31 August 2022, on 30 505 participants from rural and urban communities gathered through stratified quota sampling. We measured SHS with the Short-Form Suboptimal Health Status Questionnaire (SHSQ-SF). We gathered information on participants' lifestyles (ie, smoking, alcohol consumption, breakfast habits, weekly food delivery frequency, intermittent fasting, sleep duration and physical activities) through face-to-face interview. We determined the relationship between lifestyle and SHS logistic regression analysis by based on odds ratios (ORs) and 95% confidence intervals (CIs). Results We included 22 897 participants (female: 13 056, male: 9841), 12 108 (52.88%) of whom reported exposure to SHS. After adjusting for demographic characteristics, individuals who currently smoked (OR = 1.165; 95% CI = 1.058-1.283) and those who drank alcohol (OR = 1.483; 95% CI = 1.377.1.596) were at a higher risk of SHS than those who have never done either. In a dose-response way, takeaway food consumption was associated with a higher risk of SHS, while increased frequency of breakfast and mild-intensity exercise conversely reduced said risk. Individuals with shorter sleep duration had a higher risk of SHS when compared to those who slept for more than seven hours per day. Conclusions We observed a relatively high prevalence of SHS across China, highlighting the importance of lifestyle in health promotion. Specifically, adopting healthy dietary habits, engaging in regular physical activity, and ensuring high-quality sleep are key in preventing SHS. Registration Chinese Clinical Trial Registry (ChiCTR2200061046).
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Affiliation(s)
- Jie Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Yinghao Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Zheng Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Zi Lin
- Taian Maternity and Child Health Hospital, Taian, China
| | - Xiangqian Jin
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Hui Niu
- Taian Maternity and Child Health Hospital, Taian, China
| | - Yibo Wu
- School of Public Health, Peking University, Beijing, China
| | - Lihua Tang
- Department of Blood Transfusion, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China
| | - Haifeng Hou
- School of Public Health and The Second Affiliated Hospital of Shandong First Medical University, Taian, China
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Li H, Huang Y, Xi X. A Study on Influencing Factors of Physicians' Suboptimal Health Status in Primary Healthcare Institutions. Risk Manag Healthc Policy 2023; 16:1241-1257. [PMID: 37434663 PMCID: PMC10332424 DOI: 10.2147/rmhp.s417277] [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: 05/17/2023] [Accepted: 07/04/2023] [Indexed: 07/13/2023] Open
Abstract
Purpose This study aims to investigate the current health status of Chinese physicians in primary healthcare institutions (PHI) and the effects of personal characteristics, lifestyle, work-related environment and life-related environment on the subhealth status (SHS) of them. Methods A conceptual framework of various influencing factors was constructed with reference to the concept of health-related quality of life before the convenience sampling. Self-administered questionnaires are distributed to acquire the cross-sectional information of nationwide PHI physicians. A logit regression model was constructed to investigate the influence of various factors on the SHS of PHI physicians. Results Among 682 valid cases included in the logit regression, 457 physicians were in SHS, with an SHS rate of 67%. The regression results (R2=0.3934, chi-square=337.07, p<0.0001) showed that long working hours (p<0.05), personal income (p<0.05) and life stress (p<0.05) were protective factors for subhealth. The frequency of alcohol consumption (p<0.01), smoking (p<0.05), fear of making mistakes at work (p< 0.001), tension with colleagues (p < 0.0001), and job satisfaction (p < 0.05) were all risk factors. Other factors such as education (p < 0.1) also had an effect on the SHS of primary care physicians. Conclusion A large proportion of PHI physicians in China are in SHS and many of them are not aware that they are in a poor health state. The logit regression model showed that factors including worries about the occurrence of accidents, strained relationships with colleagues, job satisfaction, and frequency of smoking and drinking negatively influence the SHS of PHI physicians, which should be paid more attention. Meanwhile, annual personal income, long working hours and life stress are protective factors, which means that these factors need to be encouraged.
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Affiliation(s)
- Haotao Li
- The Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, Nanjing, 211198, People’s Republic of China
| | - Yuankai Huang
- The Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, Nanjing, 211198, People’s Republic of China
| | - Xiaoyu Xi
- The Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, Nanjing, 211198, People’s Republic of China
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Liu Y, Wan C, Xi X. Measurement properties of the EQ-5D-5L in sub-health: evidence based on primary health care workers in China. Health Qual Life Outcomes 2023; 21:22. [PMID: 36890491 PMCID: PMC9996950 DOI: 10.1186/s12955-023-02105-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 02/21/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Sub-health which is the state between health and disease is a major global public health challenge. As a reversible stage, sub-health can work as a effective tool for the early detection or prevention of chronic disease. The EQ-5D-5L (5L) is a widely used, generic preference-based instrument while its validity in measuring sub-health is not clear. The aim of the study was thus to assess its measurement properties in individuals with sub-health in China. METHODS The data used were from a nationwide cross-sectional survey conducted among primary health care workers who were selected on the basis of convenience and voluntariness. The questionnaire was composited of 5L, Sub-Health Measurement Scale V1.0 (SHMS V1.0), social-demographic characteristics and a question assessing the presence of disease. Missing values and ceiling effects of 5L were calculated. The convergent validity of 5L utility and VAS scores was tested by assessing their correlations with SHMS V1.0 using Spearman's correlation coefficient. The known-groups validity of 5L utility and VAS scores was assessed by comparing their values between subgroups defined by SHMS V1.0 scores using the Kruskal-Wallis test. We also did an analysis in subgroups according to different regions of China. RESULTS A total of 2063 respondents were included in the analysis. No missing data were observed for the 5L dimensions and only one missing value was for the VAS score. 5L showed strong overall ceiling effects (71.1%). The ceiling effects were slightly weaker on the "pain/discomfort" (82.3%) and "anxiety/depression" (79.5%) dimensions compared with the other three dimensions (nearly 100%). The 5L weakly correlated with SHMS V1.0: the correlation coefficients were mainly between 0.2 and 0.3 for the two scores. 5L was yet not sensitive in distinguishing subgroups of respondents with different levels of sub-health, especially the subgroups with adjacent health status (p > 0.05). The results of subgroup analysis were generally consistent with those of the full sample. CONCLUSIONS It appears that the measurement properties of EQ-5D-5L in individuals with sub-health are not satisfactory in China. We thus should be cautious to use it in the population.
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Affiliation(s)
- Yueyue Liu
- The Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, No.639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, China
| | - Chuchuan Wan
- The Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, No.639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, China
| | - Xiaoyu Xi
- The Research Center of National Drug Policy & Ecosystem, China Pharmaceutical University, No.639 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, China.
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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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Placental lesions and differential expression of pro-and anti-angiogenic growth mediators and oxidative DNA damage marker in placentae of Ghanaian suboptimal and optimal health status pregnant women who later developed preeclampsia. PLoS One 2022; 17:e0265717. [PMID: 35312727 PMCID: PMC8936490 DOI: 10.1371/journal.pone.0265717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 03/07/2022] [Indexed: 11/18/2022] Open
Abstract
Background Angiogenic growth mediators (AGMs) and oxidative stress (OS) both play essential roles in normal placental vascular development and as such, placental alterations in these factors contribute to pre-eclampsia (PE). Suboptimal health status (SHS), an intermediate between health and disease, has been associated with imbalanced AGMs and OS biomarkers. Thus, SHS pregnant women may be at increased risk of developing PE and may present abnormal placental alteration and expression of AGMs and OS compared to optimal health status (OHS) pregnant women. We examined the histopathological morphology, immunohistochemical expression of AGMs antibodies and oxidative DNA damage marker in the placentae of SHS and OHS pregnant women who developed early-onset PE (EO-PE) and late-onset (LO-PE) compared to normotensive pregnancy (NTN-P). Methods This nested case-control study recruited 593 singleton normotensive pregnant women at baseline (10–20 weeks gestation) from the Ghanaian Suboptimal Health Status Cohort Study (GHOACS) undertaken at the Komfo Anokye Teaching Hospital, Ghana. Socio-demographic, clinical and obstetrics data were collected, and a validated SHS questionnaire-25 (SHSQ-25) was used in classifying participants into SHS (n = 297) and OHS (n = 296). Participants were followed until the time of PE diagnosis and delivery (32–42 weeks gestation). Blood samples were collected at the two-time points and were assayed for AGMs; soluble fms-like tyrosine kinase-1 (sFlt-1), placental growth factor (PIGF), vascular endothelial growth factor-A (VEGF-A), and soluble endoglin (sEng), and OS biomarkers; 8-hydroxydeoxyguanosine (8-OHdG), 8-epiprostaglandinF2-alpha (8- epi-PGF2α) and total antioxidant capacity (TAC) using ELISA. Placental samples were collected for histopathological and immunohistochemical analysis. Results Of the 593 pregnant women, 498 comprising 248 SHS and 250 OHS women returned for delivery and were included in the final analysis. Of the 248 SHS women, 56, 97 and 95 developed EO-PE, LO-PE and NTN-P, respectively, whereas 14, 30 and 206 of the 250 OHS mothers developed EO-PE, LO-PE and NTN-P, respectively. At baseline, SHS_NTN pregnant women had a significant imbalance in AGMs and OS biomarkers compared to OHS_NTN pregnant women (p<0.0001). At the time of PE diagnosis, SHS_NTN-P women who developed EO-PE, LO-PE, and NTN-P had lower serum levels of P1GF, VEGF-A and TAC and correspondingly higher levels of sEng, sFlt-1, 8-epiPGF2α, and 8-OHdG than OHS-NTN-P women who developed EO-PE and LO-PE, NTN-P (p<0.0001). A reduced placental size, increased foetal/placental weight ratio, and a significantly higher proportion of fibrinoid necrosis, infarction, villous fibrin, syncytial knots, calcification, chorangiosis, tunica media/vascular wall hypertrophy and chorioamnionitis was associated with the SHS group who developed PE (EO-PE>LO-PE) more than OHS groups who developed PE (EO-PE>LO-PE) when all were compared to NTN-P (p<0.0001). The intensity of antibody expression of PIGF and VEGF-A were significantly reduced, whereas Flt-1, Eng and 8-OHdG were significantly increased in placentae from SHS-pregnant women who developed EO-PE>LO-PE more than OHS- pregnant women who developed EO-PE>LO-PE when all were compared to NTN-P (p<0.0001). Conclusion Increased lesions, oxidative DNA damage, and imbalanced expression between pro-and anti-AGMs are associated more with SHS-embodied PE placentae rather than OHS-embodied PE subtypes, thus potentially allowing differential evaluation of PE.
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Xi Y, Tian Q, Na B, Han K, Duan M, Zhang X, Wang W, Wang Y. Protocol of the Inner Mongolian Healthy Aging Study (IMAGINS): a longitudinal cohort study. BMC Public Health 2022; 22:115. [PMID: 35039022 PMCID: PMC8762848 DOI: 10.1186/s12889-022-12542-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) remain the leading cause of premature mortality and burden of diseases in the world. The Inner Mongolia Autonomous Region is located in northern China, constitute 17.66% individuals with Mongolian, which have unique diet and lifestyles. Therefore, the Inner Mongolian Healthy Aging Study (IMAGINS) was designed to explore risk factors for chronic diseases and evaluate the effectiveness of health management on CVDs in population at high-risk. METHODS The IMAGINS is an ongoing and prospective cohort study of men and women aged ≥35 years from Inner Mongolian Autonomous Region, northern China. This study performed in investigating risk factors for CVDs, screening and providing health management strategy for high-risk population of CVDs. The IMAGINS began in September 2015 and scheduled to recruiting and follow-up outcome until 2030. For general population, a long-term follow-up will be conducted every 5 years to collect the information above and data on clinical outcomes. For high-risk population, comprehensive health managements were performed and scheduled to follow-up annually. All IMAGINS participants are followed for incident CVDs and death. DISCUSSION The IMAGINS is designed to increase understanding how cardiovascular-related risk factors contribute to the development of CVDs and the positive effect of health management strategy for high-risk CVD participants. Key features of this study include (i) a carefully characterized cohort between high risk of CVDs and non-high risk population; (ii) detailed measurement of CVDs risk factors and health management strategies for high risk population; (iii) long-term follow-up of CVDs and death. The IMAGINS represents a good research opportunity to investigate clinical and genetic factors in high-risk population, might providing basis for the prevention and control of non-communicable diseases.
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Affiliation(s)
- Yunfeng Xi
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Buqi Na
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Ke Han
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Mingrui Duan
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Xingguang Zhang
- School of Public Health, Inner Mongolia Medical University, Hohhot, 010000, China
| | - Wenrui Wang
- The Inner Mongolia Autonomous Region Comprehensive Center or Disease Control and Prevention, Hohhot, 010000, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China.
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11
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Zhang J, Zheng YY, Wu TT, Ma X, Ma YT, Xie X, Tang BP. Blood Routine Test Parameters Score, a Novel Predictor of Adverse Outcomes of Coronary Artery Disease Patients with or without Diabetes Who Underwent Percutaneous Coronary Intervention: A Retrospective Cohort Study. ACS OMEGA 2021; 6:32508-32516. [PMID: 34901600 PMCID: PMC8655762 DOI: 10.1021/acsomega.1c03990] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/15/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND In this study, we developed a novel risk score named the blood routine test parameters (BRTP) score to predict the clinical outcomes in coronary artery disease (CAD) patients who had undergone percutaneous coronary intervention (PCI). METHODS There were 6049 patients with CAD after PCI enrolled in CORFCHD-PCI from January 2008 to December 2016. We divided these patients into two groups according to diabetes (diabetic group, n = 3809, and nondiabetic group, n = 2240). During a follow-up time of 35.9 ± 22.6 months, we compared the incidences of all-cause mortality (ACM) and cardiac mortality (CM), which were assigned as the primary outcomes between patients with a high BRTP score (≥5 points) and those with a low BRTP score (<5 points). RESULTS We found that the BRTP score independently predicted the risk for ACM and CM in both diabetic patients [ACM, hazard risk (HR) = 1.748 (95% confidence interval (CI): 1.186-2.575), P = 0.005; CM, HR = 1.728 (95% CI: 1.120-2.667), P = 0.014] and nondiabetic patients [ACM, HR = 1.682 (95% CI: 1.208-2.340), P = 0.002; CM, HR = 1.718 (95% CI: 1.188-2.484), P = 0.004]. However, the BRTP score was found to be an independent predictor for major adverse cardiovascular event (MACE) and major adverse cardiovascular and cerebrovascular event (MACCE) in diabetic patients [MACE, HR = 1.366 (95% CI: 1.076-1.734), P = 0.010; MACCE, HR = 1.330 (95% CI: 1.035-1.710), P = 0.026] but not in nondiabetic patients [MACE, HR = 1.241 (95% CI: 0.994-1.549), P = 0.056; MACCE, HR = 1.238 (95% CI: 0.981-1.562), P = 0.072]. CONCLUSIONS This study suggests that the BRTP score is an independent and novel predictor of mortality in CAD patients who had undergone PCI, especially in patients with comorbidity of diabetes. TRIAL REGISTRATION ChiCTR-ROC-16010153. Registered 14, December, 2016.
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Affiliation(s)
- Jian Zhang
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
| | - Ying-Ying Zheng
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
- Department
of Cardiology, First Affiliated Hospital
of Zhengzhou University, Zhengzhou 450052 P. R. China
- Key
Laboratory of Cardiac Injury and Repair of Henan Province, No. 1, Jianshe East Road, Erqi District, Zhengzhou 450052, Henan, P. R. China
| | - Ting-Ting Wu
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
| | - Xiang Ma
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
| | - Yi-Tong Ma
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
| | - Xiang Xie
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
| | - Bao-Peng Tang
- Department
of Cardiology, First Affiliated Hospital
of Xinjiang Medical University, No. 137, Liyushan Road, Xinshi
District, Urumqi 830011 P. R. China
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12
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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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13
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Russell A, Wang W. The Rapidly Expanding Nexus of Immunoglobulin G N-Glycomics, Suboptimal Health Status, and Precision Medicine. EXPERIENTIA. SUPPLEMENTUM 2021; 112:545-564. [PMID: 34687022 DOI: 10.1007/978-3-030-76912-3_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Immunoglobulin G is a prevalent glycoprotein, whose downstream immune responses are partially mediated by the N-glycans within the fragment crystallisable domain. Collectively termed the N-glycome, it is considered a complex intermediate phenotype: an amalgamation of genetic predisposition, environmental exposure, and health behaviours over the life-course. Thus, the immunoglobulin G N-glycome may provide an indication of health status on the spectrum from health to disease and infirmary. Although variability exists within and between populations, composition of the immunoglobulin G N-glycome remains stable over short periods of time. This underscores the potential of harnessing the immunoglobulin G N-glycome as an ideal tool for preclinical disease risk prediction, stratification, and prognosis through the development of precise dynamic biomarkers.
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Affiliation(s)
- Alyce Russell
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.
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14
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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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15
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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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16
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Wang H, Tian Q, Zhang J, Liu H, Zhang J, Cao W, Zhang X, Li X, Wu L, Song M, Kong Y, Wang W, Wang Y. Blood transcriptome profiling as potential biomarkers of suboptimal health status: potential utility of novel biomarkers for predictive, preventive, and personalized medicine strategy. EPMA J 2021; 12:103-115. [PMID: 34194583 DOI: 10.1007/s13167-021-00238-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 03/01/2021] [Indexed: 02/06/2023]
Abstract
The early identification of Suboptimal Health Status (SHS) creates a window opportunity for the predictive, preventive, and personalized medicine (PPPM) in chronic diseases. Previous studies have observed the alterations in several mRNA levels in SHS individuals. As a promising "omics" technology offering comprehension of genome structure and function at RNA level, transcriptome profiling can provide innovative molecular biomarkers for the predictive identification and targeted prevention of SHS. To explore the potential biomarkers, biological functions, and signalling pathways involved in SHS, an RNA sequencing (RNA-Seq)-based transcriptome analysis was firstly conducted on buffy coat samples collected from 30 participants with SHS and 30 age- and sex-matched healthy controls. Transcriptome analysis identified a total of 46 differentially expressed genes (DEGs), in which 22 transcripts were significantly increased and 24 transcripts were decreased in the SHS group. A total of 23 transcripts were selected as candidate predictive biomarkers for SHS. Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that several biological processes were related to SHS, such as ATP-binding cassette (ABC) transporter and neurodegeneration. Protein-protein interaction (PPI) network analysis identified 10 hub genes related to SHS, including GJA1, TWIST2, KRT1, TUBB3, AMHR2, BMP10, MT3, BMPER, NTM, and TMEM98. A transcriptome predictive model can distinguish SHS individuals from the healthy controls with a sensitivity of 83.3% (95% confidence interval (CI): 73.9-92.7%), a specificity of 90.0% (95% CI: 82.4-97.6%), and an area under the receiver operating characteristic curve of 0.938 (95% CI: 0.882-0.994). In the present study, we demonstrated that blood (buffy coat) samples appear to be a very promising and easily accessible biological material for the transcriptomic analyses focused on the objective identification of SHS by using our transcriptome predictive model. The pattern of particularly determined DEGs can be used as predictive transcriptomic biomarkers for the identification of SHS in an individual who may, subjectively, feel healthy, but at the level of subcellular mechanisms, the changes can provide early information about potential health problems in this person. Our findings also indicate the potential therapeutic targets in dealing with chronic diseases related to SHS, such as T2DM and CVD, and an early onset of neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases, as well as the findings suggest the targets for personalized interventions as promoted in PPPM. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-021-00238-1.
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Affiliation(s)
- Hao Wang
- Department of Clinical Epidemiology and Evidence-Based Medicine, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Hongqi Liu
- Student Healthcare Center, Weifang University, Weifang, China
| | - Jinxia Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Xingang Li
- Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Yuanyuan Kong
- Department of Clinical Epidemiology and Evidence-Based Medicine, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
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17
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Wang X, Zhong Z, Balmer L, Wang W. Glycosylation Profiling as a Biomarker of Suboptimal Health Status for Chronic Disease Stratification. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1325:321-339. [PMID: 34495543 DOI: 10.1007/978-3-030-70115-4_16] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
WHO defines health as "a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity." We coined and defined suboptimal health status (SHS) as a subclinical, reversible stage of the pre-chronic disease. SHS is a physical state between health and disease, characterized by health complaints, general weakness, chronic fatigue, and low energy levels. We have developed an instrument to measure SHS, Suboptimal Health Status Questionnaire-25 (SHSQ-25), a self-reported survey assessing five health components that has been validated in various ethnical populations. Our studies suggest that SHS is associated with the major components of cardiovascular health and the early onset of metabolic diseases. Besides subjective measure of health (SHS), glycans are conceived as objective biomarkers of SHS. Glycans are complex and branching carbohydrate moieties attached to proteins, participating in inflammatory regulation and chronic disease pathogenesis. We have been investigating the role of glycans and SHS in multiple cardiometabolic diseases in different ethnical populations (African, Chinese, and Caucasian). Here we present case studies to prove that a combination of subjective health measure (SHS) with objective health measure (glycans) represents a window of opportunity to halt or reverse the progression of chronic diseases.
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Affiliation(s)
- Xueqing Wang
- School of Health and Medical Sciences, Edith Cowan University, Perth, Australia
- College of Basic Medical Sciences, Harbin Medical University, Harbin, China
| | - Zhaohua Zhong
- College of Basic Medical Sciences, Harbin Medical University, Harbin, China
| | - Lois Balmer
- School of Health and Medical Sciences, Edith Cowan University, Perth, Australia
| | - Wei Wang
- School of Health and Medical Sciences, Edith Cowan University, Perth, Australia.
- Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Australia.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.
- First Affiliated Hospital, Shantou University Medical College, Shantou, China.
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18
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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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19
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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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20
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Xue Y, Liu G, Feng Y, Xu M, Jiang L, Lin Y, Xu J. Mediating effect of health consciousness in the relationship of lifestyle and suboptimal health status: a cross-sectional study involving Chinese urban residents. BMJ Open 2020; 10:e039701. [PMID: 33109672 PMCID: PMC7592276 DOI: 10.1136/bmjopen-2020-039701] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 10/03/2020] [Accepted: 10/06/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Suboptimal health status (SHS), a third state between good health and disease, can easily develop into chronic diseases, and can be influenced by lifestyle and health consciousness. No study has surveyed the intermediation of health consciousness on the relationship between lifestyle and SHS. This study aimed to analyse the association of lifestyle and SHS, and intermediation of health consciousness in Chinese urban residents. DESIGN A cross-sectional face-to-face survey using a four-stage stratified sampling method. PARTICIPANTS We investigated 5803 Chinese urban residents aged 18 years and over. We measured SHS using the Sub-Health Measurement Scale V1.0. We adopted a structural equation model to analyse relationships among lifestyle, health consciousness and SHS. We applied a bootstrapping method to estimate the mediation effect of health consciousness. RESULTS Lifestyle had stronger indirect associations with physical (β -0.185, 95% CI -0.228 to -0.149), mental (β -0.224, 95% CI -0.265 to -0.186) and social SHS (β -0.216, 95% CI -0.257 to -0.179) via health consciousness than direct associations of physical (β -0.144, 95% CI -0.209 to -0.081), mental (β -0.146, 95% CI -0.201 to -0.094) and social SHS (β -0.130, 95% CI -0.181 to -0.077). Health consciousness has a strong direct association with physical (β 0.360, 95% CI 0.295 to 0.427), mental (β 0.452, 95% CI 0.392 to 0.510) and social SHS (β 0.434, 95% CI 0.376 to 0.490). Ratio of mediating effect of health consciousness to direct effect of lifestyle with physical, mental and social SHS was 1.28, 1.53 and 1.66, respectively. CONCLUSIONS Health consciousness was more important in preventing physical, mental and social SHS than lifestyle. Therefore, it might be useful in changing unhealthy lifestyle and reducing the influence of poor lifestyle on physical, mental and social SHS.
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Affiliation(s)
- Yunlian Xue
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial People's Hospital,Guangdong Academy of Medical Sciences, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Guihao Liu
- Guangdong Provincial People's Hospital,Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yefang Feng
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mengyao Xu
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lijie Jiang
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuanqi Lin
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jun Xu
- Department of Sanitation Economy Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
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21
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Wang W. Cardiovascular health in China: Low level vs high diversity. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2020; 3:100038. [PMID: 34327386 PMCID: PMC8315433 DOI: 10.1016/j.lanwpc.2020.100038] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 09/21/2020] [Indexed: 01/23/2023]
Affiliation(s)
- Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia
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22
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Wang H, Tian Q, Zhang J, Liu H, Zhang X, Cao W, Zhang J, Anto EO, Li X, Wang X, Liu D, Zheng Y, Guo Z, Wu L, Song M, Wang Y, Wang W. Population-based case-control study revealed metabolomic biomarkers of suboptimal health status in Chinese population-potential utility for innovative approach by predictive, preventive, and personalized medicine. EPMA J 2020; 11:147-160. [PMID: 32549914 DOI: 10.1007/s13167-020-00200-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/06/2020] [Indexed: 12/18/2022]
Abstract
Background Suboptimal health status (SHS) is a subclinical stage of chronic diseases, and the identification of SHS provides an opportunity for the predictive, preventive, and personalized medicine (PPPM) of chronic diseases. Previous studies have reported the associations between metabolic signatures and early signs of chronic diseases. Methods This study aimed to detect the metabolic biomarkers for the identification of SHS in a case-control study. SHS questionnaire-25 (SHSQ-25) was used in a population-based health survey to measure the SHS levels of participants. The liquid chromatography-mass spectrometry-based untargeted metabolomics analysis was conducted on plasma samples collected from 50 SHS participants and 50 age- and sex-matched healthy controls. Results After adjusting for the confounders, 24 significantly differential metabolites, such as sphingomyelin, sphingosine, sphinganine, progesterone, pregnanolone, and bilirubin, were identified as the candidate biomarkers for SHS. Pathway analysis revealed that sphingolipid metabolism, taurine metabolism, and steroid hormone biosynthesis are the disturbed metabolic pathways related to SHS. A combination of four metabolic biomarkers (sphingosine, pregnanolone, taurolithocholate sulfate, cervonyl carnitine) can distinguish SHS individuals from the controls with a sensitivity of 94.0%, a specificity of 90.0%, and an area under the receiver operating characteristic curve of 0.977. Conclusion Plasma metabolites are valuable biomarkers for SHS identification, and meanwhile, SHSQ-25 can be used as an alternative health screening tool in the population-based health survey. SHS-related metabolic disturbances could be detected at the early onset of SHS, and SHS-related metabolites could create a window opportunity for PPPM of chronic diseases.
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Affiliation(s)
- Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Hongqi Liu
- Student Health Center, Weifang University, Weifang, China
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Weijie Cao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Jinxia Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Enoch Odame Anto
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Xingang Li
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Xueqing Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Di Liu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Yulu Zheng
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Zheng Guo
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
- School of Public Health, Shandong First Medical University, Taian, China
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23
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Sun Q, Xu X, Zhang J, Sun M, Tian Q, Li Q, Cao W, Zhang X, Wang H, Liu J, Zhang J, Meng X, Wu L, Song M, Liu H, Wang W, Wang Y. Association of suboptimal health status with intestinal microbiota in Chinese youths. J Cell Mol Med 2020; 24:1837-1847. [PMID: 31808612 PMCID: PMC6991644 DOI: 10.1111/jcmm.14880] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/21/2019] [Accepted: 11/11/2019] [Indexed: 02/06/2023] Open
Abstract
Suboptimal health status (SHS), a physical state between health and disease, is a subclinical and reversible stage of chronic disease. Previous studies have shown alterations in the intestinal microbiota in patients with some chronic diseases. This study aimed to investigate the association between SHS and intestinal microbiota in a case-control study with 50 SHS individuals and 50 matched healthy controls. Intestinal microbiota was analysed by MiSeq 250PE. Alpha diversity of intestinal microbiota in SHS individuals was higher compared with that of healthy controls (Simpson index, W = 2238, P = .048). Beta diversity was different between SHS and healthy controls (P = .018). At the phylum level, the relative abundance of Verrucomicrobia was higher in the SHS group than that in the controls (W = 2201, P = .049). Compared with that of the control group, nine genera were significantly higher and five genera were lower in abundance in the SHS group (all P < .05). The intestinal microbiota, analysed by a random forest model, was able to distinguish individuals with SHS from the controls, with an area under the curve of 0.79 (95% confidence interval: 0.77-0.81). We demonstrated that the alteration of intestinal microbiota occurs with SHS, an early stage of disease, which might shed light on the importance of intestinal microbiota in the primary prevention of noncommunicable chronic diseases.
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Affiliation(s)
- Qi Sun
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
- National Research Institute for Family PlanningBeijingChina
- Graduate School of Peking Union Medical CollegeBeijingChina
| | - Xizhu Xu
- School of Public HealthShandong First Medical University & Shandong Academy of Medical SciencesTaianChina
| | - Jie Zhang
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Ming Sun
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Qihuan Li
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Weijie Cao
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Xiaoyu Zhang
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Hao Wang
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Jiaonan Liu
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Jinxia Zhang
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Xiaoni Meng
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Manshu Song
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
| | - Hongqi Liu
- University HospitalWeifang UniversityWeifangChina
| | - Wei Wang
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
- School of Public HealthShandong First Medical University & Shandong Academy of Medical SciencesTaianChina
- School of Medical and Health SciencesEdith Cowan UniversityPerthWAAustralia
| | - Youxin Wang
- Beijing Key Laboratory of Clinical EpidemiologySchool of Public HealthCapital Medical UniversityBeijingChina
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Anto EO, Roberts P, Coall DA, Adua E, Turpin CA, Tawiah A, Wang Y, Wang W. Suboptimal health pregnant women are associated with increased oxidative stress and unbalanced pro- and antiangiogenic growth mediators: a cross-sectional study in a Ghanaian population. Free Radic Res 2019; 54:27-42. [PMID: 31814473 DOI: 10.1080/10715762.2019.1685668] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Optimal oxidative stress (OS) is important throughout pregnancy; however, an increased OS may alter placental angiogenesis culminating in an imbalanced of angiogenic growth mediators (AGMs). Suboptimal Health Status (SHS), a physical state between health and disease, may be associated with increased OS and unbalanced AGMs. In this study, we explored the association between SHS, biomarkers of OS (BOS) and AGMs among normotensive pregnant women (NTN-PW) in a Ghanaian Suboptimal Health Cohort Study (GHOACS). This comparative GHOACS recruited 593 NTN-PW from the Komfo Anokye Teaching Hospital, Ghana. SHS was measured using a Suboptimal Health Status Questionnaire-25 (SHSQ-25). Along with the subjective SHS measure, objective BOS: 8-hydroxy-2-deoxyguanosine (8-OHdG), 8-epiprostaglandinF2 alpha (8-epi-PGF2α), total antioxidant capacity (TAC), and AGMs: vascular endothelial growth factor-A (VEGF-A), soluble fms-like tyrosine kinase receptor 1 (sFlt-1), placental growth factor (PIGF) and soluble endoglin (sEng) were evaluated. Compared to optimal health NTN-PW, levels of PlGF, VEGF-A and TAC were significantly (p < 0.05) reduced and negatively associated with SHS whilst sEng, sFlt-1, 8-epiPGF2α, 8-OHdG, and combined ratios of sFlt-1/PlGF, 8-epiPGF2α/PlGF, 8-OHdG/PlGF, and sEng/PlGF were significantly increased and positively associated with SHS. The first quartile for PIGF (2.79-fold) and VEGF-A (5.35-fold), and the fourth quartile for sEng (4.31-fold), sFlt-1 (1.84-fold), 8-epiPGF2α (2.23-fold), 8-OHdG (1.90-fold) and urinary 8-OHdG (1.95-fold) were independently associated with SHS (p < 0.05). SHS is associated with increased OS and unbalanced AGMs. Early identification of SHS-related OS and unbalanced AGMs may inform clinicians of the need for therapeutic options.
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Affiliation(s)
- Enoch Odame Anto
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.,Department of Molecular Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Peter Roberts
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - David Antony Coall
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Eric Adua
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | | | - Augustine Tawiah
- Department of Obstetrics and Gynaecology, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.,School of Public Health, Taishan Medical University, Taian, China
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Adua E, Memarian E, Russell A, Trbojević-Akmačić I, Gudelj I, Jurić J, Roberts P, Lauc G, Wang W. Utilization of N-glycosylation profiles as risk stratification biomarkers for suboptimal health status and metabolic syndrome in a Ghanaian population. Biomark Med 2019; 13:1273-1287. [DOI: 10.2217/bmm-2019-0005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim: The study sought to apply N-glycosylation profiles to understand the interplay between suboptimal health status (SHS) and metabolic syndrome (MetS). Materials & methods: In this study, 262 Ghanaians were recruited from May to July 2016. After completing a health survey, plasma samples were collected for clinical assessments while ultra performance liquid chromatography was used to measure plasma N-glycans. Results: Four glycan peaks were found to predict case status (MetS and SHS) using a step-wise Akaike’s information criterion logistic regression model selection. This model yielded an area under the curve of MetS: 83.1% (95% CI: 78.0–88.1%) and SHS: 67.1% (60.6–73.7%). Conclusion: Our results show that SHS is a significant, albeit modest, risk factor for MetS and N-glycan complexity was associated with MetS.
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Affiliation(s)
- Eric Adua
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
| | - Elham Memarian
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Alyce Russell
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
| | | | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Julija Jurić
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Peter Roberts
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
- University of Zagreb, Faculty of Pharmacy & Biochemistry, Zagreb 10000, Croatia
| | - Wei Wang
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
- School of Public Health, Taishan Medical University, Shandong, Taian 271000, PR China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, PR China
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Anto EO, Roberts P, Coall D, Turpin CA, Adua E, Wang Y, Wang W. Integration of suboptimal health status evaluation as a criterion for prediction of preeclampsia is strongly recommended for healthcare management in pregnancy: a prospective cohort study in a Ghanaian population. EPMA J 2019; 10:211-226. [PMID: 31462939 DOI: 10.1007/s13167-019-00183-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/18/2019] [Indexed: 12/14/2022]
Abstract
Background Normotensive pregnancy may develop into preeclampsia (PE) and other adverse pregnancy complications (APCs), for which the causes are still unknown. Suboptimal health status (SHS), a physical state between health and disease, might contribute to the development and progression of PE. By integration of a routine health measure in this Ghanaian Suboptimal Health Cohort Study, we explored the usefulness of a 25-question item SHS questionnaire (SHSQ-25) for early screening and prediction of normotensive pregnant women (NTN-PW) likely to develop PE. Methods We assessed the overall health status among a cohort of 593 NTN-PW at baseline (10-20 weeks gestation) and followed them at 21-31 weeks until 32-42 weeks. After an average of 20 weeks follow-up, 498 participants returned and were included in the final analysis. Hematobiochemical, clinical and sociodemographic data were obtained. Results Of the 498 participants, 49.8% (248/498) had 'high SHS' at baseline (61.7% (153/248) later developed PE) and 38.3% (95/248) were NTN-PW, whereas 50.2% (250/498) had 'optimal health' (17.6% (44/250) later developed PE) and 82.4% (206/250) were NTN-PW. At baseline, high SHS score yielded a significantly (p < 0.05) increased adjusted odds ratio, a wider area under the curve (AUC) and a higher sensitivity and specificity for the prediction of PE (3.67; 0.898; 91.9% and 87.8%), PE coexisting with intrauterine growth restriction (2.86, 0.838; 91.5% and 75.9%), stillbirth (2.52; 0.783; 96.6% and 60.0%), hemolysis elevated liver enzymes and low platelet count (HELLP) syndrome (2.08; 0.800; 97.2% and 63.8%), acute kidney injury (2.20; 0.825; 95.3% and 70.0%) and dyslipidaemia (2.80; 0.8205; 95.7% and 68.4%) at 32-42 weeks gestation. Conclusions High SHS score is associated with increased incidence of PE; hence, SHSQ-25 can be used independently as a risk stratification tool for adverse pregnancy outcomes thereby creating an opportunity for predictive, preventive and personalized medicine.
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Affiliation(s)
- Enoch Odame Anto
- 1School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia.,2Department of Molecular Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Peter Roberts
- 1School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - David Coall
- 1School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | | | - Eric Adua
- 1School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia
| | - Youxin Wang
- 4Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Wei Wang
- 1School of Medical and Health Sciences, Edith Cowan University, Perth, WA Australia.,4Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.,5School of Public Health, Taishan Medical University, Taian, China
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27
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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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Grigorescu S, Cazan AM, Grigorescu OD, Rogozea LM. The role of the personality traits and work characteristics in the prediction of the burnout syndrome among nurses-a new approach within predictive, preventive, and personalized medicine concept. EPMA J 2018; 9:355-365. [PMID: 30538787 PMCID: PMC6261904 DOI: 10.1007/s13167-018-0151-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Accepted: 10/09/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND The burnout syndrome is characterized by emotional exhaustion, depersonalization, and lack of personal accomplishment. It was identified in some professional categories, the most often being affected those in public health services. OBJECTIVES This study mainly aims to identify and analyze the value of the personality traits and work characteristics as predictive factors for the occurrence of the burnout syndrome in nurses, under the new approach of predictive, preventive, and personalized medicine. METHOD A total of 192 nurses were included in the study. The NEO-Five-Factor Inventory, the Copenhagen Burnout Inventory, and the Inventory of Nursing Work Characteristics were administered to all of the participants. RESULTS Some personality traits proved to be predictive factors for the occurrence of the burnout syndrome. Neuroticism, negative self-esteem, and negative emotionality predict burnout vulnerability. The negative correlations between sociability and the burnout dimensions show that the positive affectivity of the extraverted individuals and the strong positive orientation of the extraverts towards others are protective factors against burnout. There are also significant associations between certain personality traits and nursing work characteristics (work overload, the existence of problems in the department, and satisfaction in the professional and family life), which could be defined, also, as predictive factors for burnout. CONCLUSIONS This study confirms the influence of the Big Five personality traits and nursing work characteristics as predictive factors of the burnout occurrence, opening real possibilities to perform a targeted prevention and provide personalized interventions as organizational services.
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Affiliation(s)
- Simona Grigorescu
- Transilvania University of Brasov, 29, Eroilor Street, 500036 Brasov, Romania
- Emergency Clinical Children Hospital Brasov, 45, Nicopole Street, 500063 Brașov, Romania
| | - Ana-Maria Cazan
- Transilvania University of Brasov, 29, Eroilor Street, 500036 Brasov, Romania
| | - Ovidiu Dan Grigorescu
- Transilvania University of Brasov, 29, Eroilor Street, 500036 Brasov, Romania
- Emergency Clinical County Hospital Brasov, 25-27, Calea Bucuresti Street, 500326 Brașov, Romania
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29
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Hou H, Feng X, Li Y, Meng Z, Guo D, Wang F, Guo Z, Zheng Y, Peng Z, Zhang W, Li D, Ding G, Wang W. Suboptimal health status and psychological symptoms among Chinese college students: a perspective of predictive, preventive and personalised health. EPMA J 2018; 9:367-377. [PMID: 30538788 DOI: 10.1007/s13167-018-0148-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 08/13/2018] [Indexed: 12/08/2022]
Abstract
Background Suboptimal health status (SHS) is an intermediate health status between health and illness, a syndrome characterised by the perception of health complaints, general weakness and low energy. This study aimed to investigate the prevalence of SHS and the correlation between SHS and psychological symptoms among Chinese college students and to identify the SHS-related risk factors from the perspective of predictive, preventive and personalised medicine (PPPM). Methods A cross-sectional study was conducted among 4119 college students who were enrolled from Taishan Medical University and Baoji Vocational and Technical College in the eastern and western areas of China. SHS levels of the participants were measured by an established self-reporting Suboptimal Health Status Questionnaire-25 (SHSQ-25). Psychosomatic conditions were estimated by the self-rating Symptom Checklist-90 (SCL-90) scale. Spearman correlation analysis was applied to analyse the relationship between SHSQ-25 scores and SCL-90 estimates. Logistic regression analysis was applied for multivariate analysis. Results The prevalence of SHS was 21.0% (864/4119), with 23.3% (701/3005) for female students and 14.6% (163/1114) for male students. The prevalence of general positive psychological symptom was 14.2% (586/4119), with 15.6% (470/3005) for female students and 10.4% (116/1114) for male students. A strong correlation was identified between SHS score and SCL-90 estimates, with the correlation coefficient (r) of 0.719. Logistic regression showed that variables significantly associated with SHS were somatisation (adjusted odds ratio (aOR) = 3.185, 95% confidence interval [CI] = 2.048-4.953), obsessive-compulsive (aOR = 3.518, 95% CI = 2.834-4.368), interpersonal sensitivity (aOR = 1.883, 95% CI = 1.439-2.463) and depression (aOR = 1.847, 95% CI = 1.335-2.554). Conclusions Our findings confirm that there is a high prevalence of SHS among college students and there is a strong association between SHS and psychological symptoms among Chinese college students. High susceptibility of SHS occurs particularly in vulnerable groups: female students, sophomore students, medical students and students from rural area. Identification of SHS and prompt application of personalised psychological health-supporting activities will promote college students' health status.
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Affiliation(s)
- Haifeng Hou
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China.,2School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
| | - Xia Feng
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China
| | - Yuejin Li
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China
| | - Zixiu Meng
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China
| | - Dongmei Guo
- Baoji Vocational and Technical College, Baoji, People's Republic of China
| | - Fang Wang
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China
| | - Zheng Guo
- 2School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
| | - Yulu Zheng
- 2School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
| | - Zhiqi Peng
- Baoji Vocational and Technical College, Baoji, People's Republic of China
| | - Wangxin Zhang
- 4School of Basic Medical Science, Taishan Medical University, Taian, People's Republic of China
| | - Dong Li
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China
| | - Guoyong Ding
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China
| | - Wei Wang
- 1School of Public Health, Taishan Medical University, 619 Changcheng Road, Taian, 271016 People's Republic of China.,2School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027 Australia
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Latent class analysis to evaluate performance of plasma cortisol, plasma catecholamines, and SHSQ-25 for early recognition of suboptimal health status. EPMA J 2018; 9:299-305. [PMID: 30174765 DOI: 10.1007/s13167-018-0144-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 07/18/2018] [Indexed: 10/28/2022]
Abstract
Background Chronic stress is associated with suboptimal health status (SHS) which is a new public health challenge in China and worldwide. Plasma stress hormones may act as potential objective biomarkers for SHS measure. This study was aimed to evaluate the diagnostic performance of plasma cortisol, catecholamine adrenaline/noradrenaline, and SHS questionnaires (SHSQ) for SHS using latent class analysis (LCA) in the absence of a gold standard. Methods A cross-sectional study was conducted among 868 employees in Beijing. The SHS questionnaires-25 (SHSQ-25) was distributed, and plasma cortisol, adrenaline, and noradrenaline were measured in the survey. LCA was used to assess the performance of both subjective and objective measures for SHS recognition. Results Akaike information criterion (AIC) and consistent AIC (CAIC) was 14.11 and 54.48 respectively, indicating that the model was well fitted. The sensitivity and specificity of plasma cortisol were 0.836 (95% CI 0.811-0.861) and 0.840 (95% CI 0.816-0.864), respectively. The area under curve (AUC) of receiver operating characteristic (ROC) of SHSQ-25 was 0.743 (95% CI 0.709-777), while the AUC of plasma adrenaline was 0.688 (95% CI 0.651-0.725). The prevalence of SHS in the investigated population was 34.78%. Conclusion Plasma cortisol is a valuable biomarker for SHS detection, whereas SHSQ-25 is more suitable for SHS screening in the population-based health survey. The accuracy and applicability of plasma adrenaline are inferior to cortisol and SHSQ-25, respectively. LCA has merit to evaluate performance of plasma cortisol, catecholamines, and SHSQ-25 for recognition of SHS in the absence of a gold standard test.
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Development of a Traditional Chinese Medicine Syndrome-Specific Scale for Ulcerative Colitis: The Large Intestine Dampness-Heat Syndrome Questionnaire. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2018; 2018:4039019. [PMID: 30108653 PMCID: PMC6077564 DOI: 10.1155/2018/4039019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/21/2018] [Accepted: 06/28/2018] [Indexed: 01/15/2023]
Abstract
The aim of this study was to develop and validate the large intestine dampness-heat syndrome questionnaire (LIDHSQ) for patients with ulcerative colitis (UC). The domains and items of the LIDHSQ were developed according to standard procedures, namely, construct definition, item generation, language testing, content validity, pilot study, and validation study. At first, a total of 20 items in 3 domains were generated based on literature review and expert consultation. After the item selection, the LIDHSQ contains 11 items in three domains: disease-related domain (diarrhoea, abdominal pain, bloody purulent stool, and mucus stool), heat domain (fever, dry mouth, red tongue, yellow fur, and anal burning), and dampness domain (greasy fur and defecation disorder). The Cronbach's alphas of all domains were greater than 0.6. All of the intraclass correlation coefficients were greater than 0.8. The LIDHSQ and domain scores of the patients with LIDHS were higher than those of the patients with other syndromes (P < 0.001). The area under the receiver operating characteristic curve of the LIDHSQ was 0.900, with a 95% confidence interval of 0.872–0.928. When the cut-off value of the LIDHSQ was ≥ 7, the sensitivity and specificity were 0.867 and 0.854, respectively. The LIDHSQ is valid and reliable for measuring LIDHS in UC patients with good diagnostic efficacy. We recommend the use of the LIDHSQ in Chinese UC patients.
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Alzain MA, Asweto CO, Zhang J, Fang H, Zhao Z, Guo X, Song M, Zhou Y, Chang N, Wang Y, Wang W. Telomere Length and Accelerated Biological Aging in the China Suboptimal Health Cohort: A Case-Control Study. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2018; 21:333-339. [PMID: 28617662 DOI: 10.1089/omi.2017.0050] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Suboptimal health status (SHS) has been linked to cardiovascular risk factors, psychosocial stress, and unhealthy lifestyle. These factors also contribute to the shortening of telomere length (TL). A case-control study was conducted to examine the association between subjective health measures of SHS from the behavior perspective and also objective measures of TL at molecular level. SHS (cases = 294) was matched by age, sex, and body mass index with ideal health (controls = 294) using a propensity score matching method. Suboptimal health status questionnaire-25 (SHSQ-25) was used in the community-based health survey. A quantitative polymerase chain reaction was used to measure relative telomere length (RTL). Shorter RTL was found among the SHS group compared to the ideal health group (p < 0.05). SHS was almost four times likely to be in the first quartile (odds ratio [OR] = 3.81; 95% confidence interval [CI] 2.21-6.56), almost thrice in second quartile (OR = 2.84; 95% CI 1.65-4.90), and almost twice likely to be in the third quartile (OR = 1.71; 95% CI 1.00-2.94) compared to the fourth quartile (the longest) of RTL after adjusting for socioeconomic, dietary intake, anthropometric, blood pressure, and biochemistry variables (p < 0.05). Notably, SHS score was negatively correlated with RTL (r = -0.218, p < 0.05). Our study confirms an association between SHS and short RTL. Combination of subjective (SHS) and objective (RTL) measures is a novel tool for health aging investigation. Therefore, SHSQ-25 could be used as a screening tool for measuring biological aging in low-income countries at community level where the expensive technique for RTL measurement is not applicable.
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Affiliation(s)
- Mohamed Ali Alzain
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China .,3 Community Medicine Department, Faculty of Medicine and Health Sciences, University of Dongola , Sudan
| | - Collins Otieno Asweto
- 2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Jie Zhang
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Honghong Fang
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Zhongyao Zhao
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Xiuhua Guo
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Manshu Song
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Yong Zhou
- 4 Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University , Beijing, China .,5 Department of Neurology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University , Beijing, China
| | - Naibai Chang
- 6 Department of Haematology, Beijing Hospital , Beijing, China
| | - Youxin Wang
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China
| | - Wei Wang
- 1 Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University , Beijing, China .,2 Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University , Beijing, China .,7 Global Health and Genomics, School of Medical and Health Sciences, Edith Cowan University , Perth, Australia
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Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population. Sci Rep 2017; 7:14975. [PMID: 29101345 PMCID: PMC5670124 DOI: 10.1038/s41598-017-15101-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 10/20/2017] [Indexed: 12/12/2022] Open
Abstract
Suboptimal health status (SHS) is a physical state between health and illness, and previous studies suggested that SHS is associated with majority components of cardiovascular health metrics defined by American Heart Association (AHA). We investigated the association between SHS and cardiovascular health metrics in a cross-sectional analysis of China suboptimal health cohort study (COACS) consisting of 4313 participants (60.30% women) aged from 18 to 65 years old. The respective prevalence of SHS is 7.10%, 9.18%, 10.04% and 10.62% in the first, second, third and fourth quartiles of ideal cardiovascular health (CVH) metrics (P for trend = 0.012). Participants in the largest quartile of ideal CVH metrics show a lower likelihood of having optimal SHS score compared to those in the smallest quartile (odds ratio (OR), 0.43; 95% confidence interval (CI), 0.32–0.59), after adjusting for age, gender, marital status, alcohol consumption, income level and education. Four metrics (smoking, physical inactivity, poor dietary intake and ideal control of blood pressure are significantly correlated with the risk of SHS. The present study suggests that ideal CVH metrics are associated with a lower prevalence of SHS, and the combined evaluation of SHS and CVH metrics allows the risk classification of cardiovascular disease, and thus consequently contributes to the prevention of cardiovascular diseases.
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Zeng Q, Dong SY, Liu YP, Fu J, Shuai P, Zhao ZM, Li TX. Effects of fish oil-derived fatty acids on suboptimal cardiovascular health: A multicenter, randomized, double-blind, placebo-controlled trial. Nutr Metab Cardiovasc Dis 2017; 27:964-970. [PMID: 29066159 DOI: 10.1016/j.numecd.2017.09.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Revised: 09/10/2017] [Accepted: 09/11/2017] [Indexed: 01/06/2023]
Abstract
BACKGROUND AND AIMS Suboptimal health and metabolic disorders are common in the general population. Both are related to cardiovascular disease. Suboptimal cardiovascular health is defined by the presence of both suboptimal health and metabolic disorders. The aim of the study was to investigate the potential benefit of n-3 long-chain polyunsaturated fatty acids (LCPUFA) in participants with suboptimal cardiovascular health. METHODS AND RESULTS A total of 422 participants with suboptimal cardiovascular health, from two clinics in China, were enrolled from September 2014 to April 2015. All the enrolled participants were randomly assigned to receive 4 g/d of fish oil or placebo for three months. Suboptimal health was defined using an accepted questionnaire. Metabolic disorders were defined as one or more abnormalities in blood pressure, fasting plasma glucose, blood lipids, and body mass index (BMI). After treatment, the mean BMI fell significantly more in the n-3 LCPUFA group than in the placebo group (-0.29 ± 0.06 kg/m2 vs. -0.02 ± 0.06 kg/m2, P = 0.003). Similar results were found in the changes of suboptimal health status and suboptimal cardiovascular health status (P < 0.05 for all). In a multivariate analysis, the n-3 LCPUFA group was 5.44 (1.15, 25.67) times more likely to have optimal cardiovascular health status after treatment. CONCLUSIONS n-3 LCPUFA intake improved suboptimal cardiovascular health in this placebo-controlled, randomized, double-blind trial. TRIAL REGISTRATION This study is registered at www.clinicaltrials.govNCT02103517.
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Affiliation(s)
- Q Zeng
- Health Management Institute, Chinese PLA General Hospital, Beijing, China.
| | - S-Y Dong
- Healthcare Department, Agency for Offices Administration of PLA, Beijing, China
| | - Y-P Liu
- Health Management Center, Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - J Fu
- Health Center of Screening and Prevention of Diseases of the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - P Shuai
- Health Management Center, Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Z-M Zhao
- Health Center of Screening and Prevention of Diseases of the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - T-X Li
- Health Center of Screening and Prevention of Diseases of the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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Adua E, Roberts P, Wang W. Incorporation of suboptimal health status as a potential risk assessment for type II diabetes mellitus: a case-control study in a Ghanaian population. EPMA J 2017; 8:345-355. [PMID: 29209438 DOI: 10.1007/s13167-017-0119-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Accepted: 09/28/2017] [Indexed: 02/07/2023]
Abstract
Due to a paradigm shift in lifestyles, there is growing concern that type 2 diabetes mellitus (T2DM) will reach epidemic proportions in Ghana. However, specific characteristics of the disease are under explored in this region. More challenging are those yet to be diagnosed or who complain of poor health in the absence of a diagnosed disease-suboptimal health status (SHS). We conducted a study to examine various factors that characterise SHS and T2DM. Using a cross-sectional design, we recruited 264 people as controls and 241 T2DM patients from January to June 2016. The controls were categorised into high and low SHS based on how they rated on an SHS questionnaire-25 (SHSQ-25). Anthropometric and biochemical parameters: body mass index (BMI); blood pressure (BP); fasting plasma glucose (FPG); glycated haemoglobin (HbA1c); serum lipids [(total cholesterol, triglycerides (TG), high- and low-density lipoprotein-cholesterol (HDL-c and LDL-c)] were measured. The male to female ratio for T2DM and controls were 99:142 and 98:166, respectively, whilst the mean ages were 55.89 and 51.52 years. Compared to controls, T2DM patients had higher FPG (8.96 ± 4.18 vs. 6.08 ± 1.79; p < 0.0001) and HbA1c (8.23 ± 2.09 vs. 5.45 ± 1.00; p < 0.0001). Primarily sedentary [adjusted odds ratio (aOR) = 2.97 (1.38-6.39); p = 0.034)], systolic blood pressure (SBP) (p = 0.001) and diastolic blood pressure (DBP) (p = 0.001) significantly correlated with high SHS. After adjusting for age and gender, central adiposity [aOR = 1.74 (1.06-2.83); p = 0.027)], underweight [aOR = 5.82 (1.23-27.52); p = 0.018)], high SBP [aOR = 1.86 (1.14-3.05); p = 0.012)], high DBP [aOR = 2.39 (1.40-4.07); p = 0.001)] and high TG [aOR = 2.17 (1.09-4.33); p = 0.029)] were found to be independent risk factors associated with high SHS. The management of T2DM in Ghana is suboptimal and undiagnosed risk factors remain prevalent. The SHSQ-25 can be translated and applied as a practical tool to screen at-risk individuals and hence prove useful for the purpose of predictive, preventive and personalised medicine.
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Affiliation(s)
- Eric Adua
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia
| | - Peter Roberts
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Perth, WA 6027 Australia.,Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China.,School of Public Health, Taishan Medical University, Taian, Shandong 271000 China
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Kikuchi A, Shiga Y, Takayama S, Arita R, Maekawa S, Kaneko S, Himori N, Ishii T, Nakazawa T. Traditional medicine as a potential treatment for Flammer syndrome. EPMA J 2017; 8:171-175. [PMID: 28725293 PMCID: PMC5486530 DOI: 10.1007/s13167-017-0091-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 03/30/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Akiko Kikuchi
- Department of Kampo Medicine, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba ward, Sendai, 980-8574 Japan
| | - Yukihiro Shiga
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-2 Seiryo-machi, Aoba ward, Sendai, 980-8575 Japan
| | - Shin Takayama
- Department of Kampo Medicine, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba ward, Sendai, 980-8574 Japan
| | - Ryutaro Arita
- Department of Kampo Medicine, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba ward, Sendai, 980-8574 Japan
| | - Shigeto Maekawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-2 Seiryo-machi, Aoba ward, Sendai, 980-8575 Japan
| | - Soichiro Kaneko
- Department of Kampo Medicine, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba ward, Sendai, 980-8574 Japan
| | - Noriko Himori
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-2 Seiryo-machi, Aoba ward, Sendai, 980-8575 Japan
| | - Tadashi Ishii
- Department of Kampo Medicine, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba ward, Sendai, 980-8574 Japan
| | - Toru Nakazawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, 1-2 Seiryo-machi, Aoba ward, Sendai, 980-8575 Japan
- Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, 1-2 Seiryo-machi, Aoba ward, Sendai, 980-8575 Japan
- Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, 1-2 Seiryo-machi, Aoba ward, Sendai, 980-8575 Japan
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Chen J, Xiang H, Jiang P, Yu L, Jing Y, Li F, Wu S, Fu X, Liu Y, Kwan H, Luo R, Zhao X, Sun X. The Role of Healthy Lifestyle in the Implementation of Regressing Suboptimal Health Status among College Students in China: A Nested Case-Control Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14030240. [PMID: 28264509 PMCID: PMC5369076 DOI: 10.3390/ijerph14030240] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2016] [Accepted: 02/16/2017] [Indexed: 12/28/2022]
Abstract
BACKGROUND Suboptimal health status (SHS) is the intermediate health state between health and disease, it is medically undiagnosed and is also termed functional somatic syndrome. Although its clinical manifestations are complicated and various, SHS has not reached the disease status. Unhealthy lifestyle is associated with many chronic diseases and mortality. In accordance with the impact of lifestyle on health, it is intriguing to determine the association between unhealthy lifestyle and SHS risk. METHODS We conducted a nested case-control study among healthy Chinese college students from March 2012 to September 2013, which was nested in a prospective cohort of 5676 students. We performed 1:1 incidence density sampling with matched controls for birth year, sex, grade, specialty and individual character. SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0). Exposure was defined as an unhealthy lifestyle per the frequency of six behavioral dimensions from the Health-promoting Lifestyle Profile (HPLP-II). RESULTS We matched 543 cases of SHS (42.66%) in a cohort of 1273 students during the 1.5 years mean follow-up time with controls. A significant difference (t = 9.79, p < 0.001) and a reduction in HPLP-II total score was present at 1.5 years follow-up (135.93 ± 17.65) compared to baseline (144.48 ± 18.66). A level-response effect was recorded with an increase of the total HPLP-II (every dimension was correlated with a decreased SHS risk). Compared to respondents with the least exposure (excellent level), those reporting a general HPLP-II level were approximately 2.3 times more likely to develop SHS (odd ratio = 2.333, 95% CI = 1.471 to 3.700); and those with less HPLP-II level (good level) were approximately 1.6 times more likely (1.644, 1.119-2.414) to develop SHS (p < 0.05). Our data indicated that unhealthy lifestyle behavior with respect to behavioral dimensions significantly affected SHS likelihood. Further analyses revealed a marked increase (average increased 14.73 points) in lifestyle level among those SHS regression to health after 1.5 years, with respect to the HPLP-II behavioral dimensions, in addition to the total score (t = -15.34, p < 0.001). CONCLUSIONS SHS is highly attributable to unhealthy lifestyles, and the Int. J. Environ. Res. Public Health 2017, 14, 240 2 of 17 mitigation of modifiable lifestyle risk factors may lead to SHS regression. Increased efforts to modify unhealthy lifestyles are necessary to prevent SHS.
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Affiliation(s)
- Jieyu Chen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Hongjie Xiang
- Department of Traditional Chinese Medicine, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan 250014, Shandong, China.
| | - Pingping Jiang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Lin Yu
- Department of Traditional Chinese Medicine, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou 510170, Guangdong, China.
| | - Yuan Jing
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Fei Li
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Shengwei Wu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Xiuqiong Fu
- Centre for Cancer and Inflammation Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China.
| | - Yanyan Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Hiuyee Kwan
- Centre for Cancer and Inflammation Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China.
| | - Ren Luo
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Xiaoshan Zhao
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
| | - Xiaomin Sun
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China.
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Kamshilin AA, Sidorov IS, Babayan L, Volynsky MA, Giniatullin R, Mamontov OV. Accurate measurement of the pulse wave delay with imaging photoplethysmography. BIOMEDICAL OPTICS EXPRESS 2016; 7:5138-5147. [PMID: 28018731 PMCID: PMC5175558 DOI: 10.1364/boe.7.005138] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 10/22/2016] [Accepted: 10/31/2016] [Indexed: 05/30/2023]
Abstract
Assessment of the cardiovascular parameters using noncontact video-based or imaging photoplethysmography (IPPG) is usually considered as inaccurate because of strong influence of motion artefacts. To optimize this technique we performed a simultaneous recording of electrocardiogram and video frames of the face for 36 healthy volunteers. We found that signal disturbances originate mainly from the stochastically enhanced dichroic notch caused by endogenous cardiovascular mechanisms, with smaller contribution of the motion artefacts. Our properly designed algorithm allowed us to increase accuracy of the pulse-transit-time measurement and visualize propagation of the pulse wave in the facial region. Thus, the accurate measurement of the pulse wave parameters with this technique suggests a sensitive approach to assess local regulation of microcirculation in various physiological and pathological states.
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Affiliation(s)
- Alexei A. Kamshilin
- Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia
| | - Igor S. Sidorov
- Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia
| | - Laura Babayan
- Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia
- Department of Neurology and Neurosurgery, Pavlov First Saint Petersburg State Medical University, St. Petersburg 197022, Russia
| | - Maxim A. Volynsky
- Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia
| | - Rashid Giniatullin
- Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia
- Department of Neurobiology, University of Eastern Finland, 70210 Kuopio, Finland
- Laboratory of Neurobiology, Kazan Federal University, Kazan 7208, Russia
| | - Oleg V. Mamontov
- Department of Computer Photonics and Videomatics, ITMO University, St. Petersburg 197101, Russia
- Department of Circulation Physiology, Federal Almazov North-West Medical Research Centre, St. Petersburg 197341, Russia
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Golubnitschaja O, Baban B, Boniolo G, Wang W, Bubnov R, Kapalla M, Krapfenbauer K, Mozaffari MS, Costigliola V. Medicine in the early twenty-first century: paradigm and anticipation - EPMA position paper 2016. EPMA J 2016; 7:23. [PMID: 27800037 PMCID: PMC5078893 DOI: 10.1186/s13167-016-0072-4] [Citation(s) in RCA: 244] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Accepted: 10/11/2016] [Indexed: 01/02/2023]
Affiliation(s)
- Olga Golubnitschaja
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Radiologic Department, Rheinische Friedrich-Wilhelms-University of Bonn, Sigmund-Freud-Str. 25, 53105 Bonn, Germany
- Breast Cancer Research Centre, Rheinische Friedrich-Wilhelms-University of Bonn, Bonn, Germany
| | - Babak Baban
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Augusta University, Augusta, GA USA
- Department of Surgery, School of Medicine, Augusta University, Augusta, GA USA
| | - Giovanni Boniolo
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Dipartimento di Scienze Biomediche e Chirurgico Specialistiche, Università di Ferrara, Via Fossato di Mortara, 64A, 44121 Ferrara, Italy
- Institute for Advanced Study, Technische Universität München, Garching bei München, Germany
| | - Wei Wang
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- School of Medical Sciences, Edith Cowan University, Perth, Australia
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- WHO Expert Panel (Member), Geneva, Switzerland
- Global Health Epidemiology Reference Group (GHERG), Edinburgh, UK
| | - Rostyslav Bubnov
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Clinical hospital “Pheophania” of State Affairs Department, Kyiv, Ukraine
- Zabolotny Institute of Microbiology and Virology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Marko Kapalla
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
| | - Kurt Krapfenbauer
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
| | - Mahmood S. Mozaffari
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- Augusta University, Augusta, GA USA
- Department of Surgery, School of Medicine, Augusta University, Augusta, GA USA
| | - Vincenzo Costigliola
- European Association for Predictive, Preventive and Personalised Medicine, Brussels, Belgium
- European Medical Association, Brussels, Belgium
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Wang Y, Ge S, Yan Y, Wang A, Zhao Z, Yu X, Qiu J, Alzain MA, Wang H, Fang H, Gao Q, Song M, Zhang J, Zhou Y, Wang W. China suboptimal health cohort study: rationale, design and baseline characteristics. J Transl Med 2016; 14:291. [PMID: 27737677 PMCID: PMC5064923 DOI: 10.1186/s12967-016-1046-y] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2016] [Accepted: 10/03/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Suboptimal health status (SHS) is a physical state between health and disease, characterized by the perception of health complaints, general weakness, chronic fatigue and low energy levels. SHS is proposed by the ancient concept of traditional Chinese medicine (TCM) from the perspective of preservative, predictive and personalized (precision) medicine. We previously created the suboptimal health status questionnaire 25 (SHSQ-25), a novel instrument to measure SHS, validated in various populations. SHSQ-25 thus affords a window of opportunity for early detection and intervention, contributing to the reduction of chronic disease burdens. METHODS/DESIGN To investigate the causative effect of SHS in non-communicable chronic diseases (NCD), we initiated the China suboptimal health cohort study (COACS), a longitudinal study starting from 2013. Phase I of the study involved a cross-sectional survey aimed at identifying the risk/protective factors associated with SHS; and Phase II: a longitudinal yearly follow-up study investigating how SHS contributes to the incidence and pattern of NCD. RESULTS (1) Cross-sectional survey: in total, 4313 participants (53.8 % women) aged from 18 to 65 years were included in the cohort. The prevalence of SHS was 9.0 % using SHS score of 35 as threshold. Women showed a significantly higher prevalence of SHS (10.6 % in the female vs. 7.2 % in the male, P < 0.001). Risk factors for chronic diseases such as socioeconomic status, marital status, highest education completed, physical activity, salt intake, blood pressure and triglycerides differed significantly between subjects of SHS (SHS score ≥35) and those of ideal health (SHS score <35). (2) Follow up: the primary and secondary outcomes will be monitored from 2015 to 2024. CONCLUSIONS The sex-specific difference in prevalence of SHS might partly explain the gender difference of incidence of certain chronic diseases. The COACS will enable a thorough characterization of SHS and establish a cohort that will be used for longitudinal analyses of the interaction between the genetic, lifestyle and environmental factors that contribute to the onset and etiology of targeted chronic diseases. The study together with the designed prospective cohort provides a chance to characterize and evaluate the effect of SHS systemically, and it thus generates an unprecedented opportunity for the early detection and prevention of chronic disease.
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Affiliation(s)
- Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
- Global Health and Genomics, School of Medical and Health Sciences, Edith Cowan University, Perth, 6027 Australia
| | - Siqi Ge
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
- Global Health and Genomics, School of Medical and Health Sciences, Edith Cowan University, Perth, 6027 Australia
| | - Yuxiang Yan
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Anxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050 China
| | - Zhongyao Zhao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Xinwei Yu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
- Global Health and Genomics, School of Medical and Health Sciences, Edith Cowan University, Perth, 6027 Australia
| | - Jing Qiu
- School of Public Health, Ningxia Medical University, Yinchuan, 750021 China
| | - Mohamed Ali Alzain
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Honghong Fang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Qing Gao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
| | - Yong Zhou
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029 China
- Department of Neurology, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100027 China
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069 China
- Global Health and Genomics, School of Medical and Health Sciences, Edith Cowan University, Perth, 6027 Australia
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