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Hildt-Ciupińska K. Self-assessment of health and care for health among employed men in Poland. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 2024; 30:774-781. [PMID: 39011554 DOI: 10.1080/10803548.2024.2369395] [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] [Indexed: 07/17/2024]
Abstract
Objectives. Self-assessment of health is one of the most important factors determining manifestations in care for health, expressed in health-promoting behaviours. The way a person takes care of their health affects not only their health but also their well-being, quality of life and work ability. This study aimed to present results regarding self-assessment of health and care for health and the relationship with work ability in a group of working men aged 20-65 years. Methods. The sample of 600 men were assessed using a survey. The work ability index was used to measure work ability. An original survey was developed, which included questions about self-assessment of health and taking care of health, motives for taking care of health, physical activity, healthy eating and smoking. Results. Most men rated their health well and declared that they took care of it. Low health scores were obtained among overweight men, men without physical activity, men with unhealthy nutrition and smokers. High self-rated health was associated with good work ability. Conclusions. There is a constant need to make men of all ages aware of the role of individual health care in maintaining good health and high work ability.
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Zhou Y, Xu M, Yin X, Gong Y. Association between new-onset atrial fibrillation and dementia among individuals with type 2 diabetes. Diabetes Obes Metab 2024; 26:3715-3722. [PMID: 38874105 DOI: 10.1111/dom.15714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024]
Abstract
AIM To assess the association between new-onset atrial fibrillation and dementia among patients with type 2 diabetes, a group with a high prevalence of atrial fibrillation. MATERIALS AND METHODS This cohort study included 22 989 patients with type 2 diabetes from the UK Biobank. New-onset atrial fibrillation was ascertained from hospital admission records. We used an algorithm officially released by the UK Biobank to identify all-cause dementia, Alzheimer's disease and vascular dementia. The algorithm was developed using multiple sources, including hospital admissions and the death registry. Time-varying Cox regression analyses were performed to investigate the association between new-onset atrial fibrillation and dementia. RESULTS A total of 2843 participants developed atrial fibrillation, whereas the remaining 20 146 did not. During the median of 12.3 years of follow-up, 844 all-cause dementia, 342 Alzheimer's disease and 246 vascular dementia cases occurred. Compared with participants without atrial fibrillation, those with atrial fibrillation had higher risks of all-cause dementia (hazard ratio [HR] 2.15, 95% confidence interval [CI] 1.80-2.57), Alzheimer's disease (HR 1.44, 95% CI 1.06-1.96) and vascular dementia (HR 3.11, 95% CI 2.32-4.17). CONCLUSIONS New-onset atrial fibrillation was associated with a substantially higher risk of all-cause dementia, Alzheimer's disease and vascular dementia in patients with type 2 diabetes. Our findings highlight the significance of atrial fibrillation management in mitigating the risk of dementia in this demographic.
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Affiliation(s)
- Ying Zhou
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minzhi Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoxv Yin
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanhong Gong
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li M, Chen W, Deng Y, Xie W. Impacts of cardiometabolic risk factors and alcohol consumption on all-cause mortality among MASLD and its subgroups. Nutr Metab Cardiovasc Dis 2024; 34:2085-2094. [PMID: 38902191 DOI: 10.1016/j.numecd.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/07/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND AND AIMS Recently, metabolic dysfunction-associated steatotic liver disease (MASLD) has been introduced. However, research on this new nomenclature and definition remains limited. This study aims to assess the impact of cardiometabolic risk factors and alcohol consumption on all-cause mortality in MASLD and its subgroups. METHODS AND RESULTS We included 2408 participants with MASLD in NHANES III and their linked mortality through 2019. MASLD patients were divided into two groups based on alcohol consumption: Pure MASLD and MetALD. The Cox proportional hazard model was used to assess the association between factors and all-cause mortality. During the median 26.0-year follow-up, there were 1040 deaths. The multivariable Cox regression analysis revealed a significant increase of over two-fold in the all-cause mortality rate among patients with four or more cardiometabolic risk factors compared to those with only one. When focusing on each component of cardiometabolic risk factors individually, only diabetes and hypertension were significantly associated with all-cause mortality (p < 0.05). In a subgroup analysis, each additional cardiometabolic factor was linked to an increase in all-cause mortality in both pure MASLD (hazard ratio 1.16; 95% CI 1.06-1.28; p = 0.002) and MetALD (HR 1.77; 95% CI 1.26-2.49; p = 0.001). Notably, an elevation in alcohol consumption was significantly associated with an increase in all-cause mortality rate only in the MetALD (p < 0.001). CONCLUSIONS This study found that the presence of diabetes or hypertension was significantly associated with all-cause mortality. We also explored the different impacts of these factors and alcohol consumption within MASLD subgroups.
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Affiliation(s)
- Mengqi Li
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wenya Chen
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - You Deng
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wen Xie
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
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Huang H, Wei T, Huang Y, Zhang A, Zhang H, Zhang Z, Xu Y, Pan H, Kong L, Li Y, Li F. Association between social determinants of health and survival among the US cancer survivors population. BMC Med 2024; 22:343. [PMID: 39183305 PMCID: PMC11346002 DOI: 10.1186/s12916-024-03563-0] [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: 03/09/2024] [Accepted: 08/14/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Racial and ethnic disparities in mortality persist among US cancer survivors, with social determinants of health (SDoH) may have a significant impact on these disparities. METHODS A population-based cohort study of a nationally representative sample of adult cancer survivors, who participated in the US National Health and Nutrition Examination Survey from 1999 to 2018 was included. Sociodemographic characteristics and SDoH were self-reported using standardized questionnaires in each survey cycle. The SDoH was examined by race and estimated for associations with primary outcomes, which included all-cause and cancer-specific mortality. Multiple mediation analysis was performed to assess the contribution of each unfavorable SDoH to racial disparities to all-cause and cancer-specific mortality. RESULTS Among 5163 cancer survivors (2724 [57.7%] females and 3580 [69.3%] non-Hispanic White individuals), only 881 (24.9%) did not report an unfavorable SDoH. During the follow-up period of up to 249 months (median 81 months), 1964 deaths were recorded (cancer, 624; cardiovascular, 529; other causes, 811). Disparities in all-cause and cancer-specific mortality were observed between non-Hispanic Black and White cancer survivors. Unemployment, lower economic status, education less than high school, government or no private insurance, renting a home or other arrangements, and social isolation were significantly and independently associated with worse overall survival. Unemployment, lower economic status, and social isolation were significantly associated with cancer-specific mortality. Compared to patients without an unfavorable SDoH, the risk of all-cause mortality was gradually increased in those with a cumulative number of unfavorable SDoHs (1 unfavorable SDoH: hazard ratio [HR] = 1.54, 95% CI 1.25-1.89; 2 unfavorable SDoHs: HR = 1.81, 95% CI 1.46-2.24; 3 unfavorable SDoHs: HR = 2.42, 95% CI 1.97-2.97; 4 unfavorable SDoHs: HR = 3.22, 95% CI 2.48-4.19; 5 unfavorable SDoHs: HR = 3.99, 95% CI 2.99-5.33; 6 unfavorable SDoHs: HR = 6.34 95% CI 4.51-8.90). A similar trend existed for cancer-specific mortality. CONCLUSIONS In this cohort study of a nationally representative sample of US cancer survivors, a greater number of unfavorable SDoH was associated with increased risks of mortality from all causes and cancer. Unfavorable SDoH levels were critical risk factors for all-cause and cancer-specific mortality, as well as the underlying cause of racial all-cause mortality disparities among US cancer survivors.
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Affiliation(s)
- Hongbo Huang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Tingting Wei
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Ying Huang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Aijie Zhang
- Health Management Center of University-Town Hospital Affiliated to Chongqing Medical University, Chongqing, 401331, China
| | - Heng Zhang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Ze Zhang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Yijing Xu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Haonan Pan
- School of Public Health, Chongqing Medical University, Chongqing, 400016, China
| | - Lingquan Kong
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Yunhai Li
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
| | - Fan Li
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
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Li J, Li J, Yu Y, Sun Y, Yu B, Shen W, Cai L, Wang N, Wang B, Lu Y. Joint effects of physical frailty and traditional cardiovascular risk factor control on cardiovascular disease in patients with diabetes. J Nutr Health Aging 2024; 28:100342. [PMID: 39180942 DOI: 10.1016/j.jnha.2024.100342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 08/02/2024] [Accepted: 08/13/2024] [Indexed: 08/27/2024]
Abstract
OBJECTIVES Physical frailty has been found to increase the risk of multiple adverse outcomes including cardiovascular disease (CVD) in diabetic patients, but whether this could be modified by traditional risk factor control remains unknown. We aimed to explore the joint and interaction effects of frailty and traditional risk factor control on the risk of CVD. DESIGN A population-based cohort study. SETTING AND PARTICIPANTS We included 15,753 participants with type 2 diabetes at baseline from UK Biobank. MEASUREMENTS Physical frailty was assessed by Fried criteria's frailty phenotype. The degree of risk factor control was determined by the numbers of the following factors controlled within the target range, including glycated hemoglobin, blood pressure, low-density lipoprotein cholesterol, smoking, and kidney condition. Incident CVD included coronary heart disease, stroke, or heart failure. Cox proportional hazard models were used to assess the individual and joint effects of frailty and risk factor control on the risk of CVD. RESULTS After a median follow-up of 13.5 years, 1129 incident CVD events were observed. Compared with non-frailty, both prefrailty and frailty were significantly associated with increased risk of CVD (HR 1.22, 95% CI [1.13, 1.31] for pre-frailty and 1.70 [1.53, 1.90] for frailty). For the joint effects, participants with frailty and a low degree of risk factor control (control of 0-1 risk factors) had the highest risk of CVD (2.92 [2.04, 4.17]) compared to those with non-frailty and optimal risk factor control (control of 4-5 risk factors). Moreover, a significant additive interaction between frailty and risk factor control was observed, with around 3.8% of CVD risk attributed to the interactive effects. CONCLUSIONS Both prefrailty and frailty were associated with a higher risk of CVD in participants with type 2 diabetes. Moreover, physical frailty could interact with the degree of risk factor control in an additive manner to increase the CVD risk.
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Affiliation(s)
- Jie Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Jiang Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Yuefeng Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Bowei Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Wenqi Shen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Lingli Cai
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China.
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011 China.
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Ding Y, Wu X, Cao Q, Huang J, Xu X, Jiang Y, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wu S, Chen Y, Lu J, Wang W, Ning G, Xu Y, Bi Y, Li M. Gender Disparities in the Association Between Educational Attainment and Cardiovascular-Kidney-Metabolic Syndrome: Cross-Sectional Study. JMIR Public Health Surveill 2024; 10:e57920. [PMID: 39177971 PMCID: PMC11363879 DOI: 10.2196/57920] [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: 02/29/2024] [Revised: 04/24/2024] [Accepted: 05/24/2024] [Indexed: 08/24/2024] Open
Abstract
Background Cardiovascular-kidney-metabolic (CKM) health is affected by social determinants of health, especially education. CKM syndrome has not been evaluated in Chinese population, and the association of education with CKM syndrome in different sexes and its intertwined relation with lifestyles have not been explored. Objective We aimed to explore the association between educational attainment and the prevalence of CKM syndrome stages in middle-aged and older Chinese men and women as well as the potential role of health behavior based on Life's Essential 8 construct. Methods This study used data from the nationwide, community-based REACTION (Risk Evaluation of Cancers in Chinese diabetic individuals: a longitudinal study). A total of 132,085 participants with complete information to determine CKM syndrome stage and education level were included. Educational attainment was assessed by the self-reported highest educational level achieved by the participants and recategorized as low (elementary school or no formal education) or high (middle school, high school, technical school/college, or above). CKM syndrome was ascertained and classified into 5 stages according to the American Heart Association presidential advisory released in 2023. Results Among 132,085 participants (mean age 56.95, SD 9.19 years; n=86,675, 65.62% women) included, most had moderate-risk CKM syndrome (stages 1 and 2), and a lower proportion were at higher risk of CKM (stages 3 and 4). Along the CKM continuum, low education was associated with 34% increased odds of moderate-risk CKM syndrome for women (odds ratio 1.36, 95% CI 1.23-1.49) with a significant sex disparity, but was positively correlated with high-risk CKM for both sexes. The association between low education and high-risk CKM was more evident in women with poor health behavior but not in men, which was also interactive with and partly mediated by behavior. Conclusions Low education was associated with adverse CKM health for both sexes but was especially detrimental to women. Such sex-specific educational disparity was closely correlated with health behavior but could not be completely attenuated by behavior modification. These findings highlight the disadvantage faced by women in CKM health ascribed to low education, underscoring the need for public health support to address this inequality.
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Affiliation(s)
- Yi Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Xianglin Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Jiaojiao Huang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Xiaoli Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Youjin Jiang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Yanan Huo
- Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Shengli Wu
- Karamay Municipal People’s Hospital, Karamay, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine Affiliated Ruijin Hospital, Shanghai, China
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Hou M, Wu Y, Xue J, Chen Q, Zhang Y, Zhang R, Yu L, Wang J, Zhou Z, Li X. A predictive model for readmission within 1-year post-discharge in patients with schizophrenia. BMC Psychiatry 2024; 24:573. [PMID: 39174919 PMCID: PMC11340171 DOI: 10.1186/s12888-024-06024-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 08/16/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND Schizophrenia is a pervasive and severe mental disorder characterized by significant disability and high rates of recurrence. The persistently high rates of readmission after discharge present a serious challenge and source of stress in treating this population. Early identification of this risk is critical for implementing targeted interventions. The present study aimed to develop an easy-to-use predictive instrument for identifying the risk of readmission within 1-year post-discharge among schizophrenia patients in China. METHODS A prediction model, based on static factors, was developed using data from 247 schizophrenia inpatients admitted to the Mental Health Center in Wuxi, China, from July 1 to December 31, 2020. For internal validation, an additional 106 patients were included. Multivariate Cox regression was applied to identify independent predictors and to create a nomogram for predicting the likelihood of readmission within 1-year post-discharge. The model's performance in terms of discrimination and calibration was evaluated using bootstrapping with 1000 resamples. RESULTS Multivariate cox regression demonstrated that involuntary admission (adjusted hazard ratio [aHR] 4.35, 95% confidence interval [CI] 2.13-8.86), repeat admissions (aHR 3.49, 95% CI 2.08-5.85), the prescription of antipsychotic polypharmacy (aHR 2.16, 95% CI 1.34-3.48), and a course of disease ≥ 20 years (aHR 1.80, 95% CI 1.04-3.12) were independent predictors for the readmission of schizophrenia patients within 1-year post-discharge. The area under the curve (AUC) and concordance index (C-index) of the nomogram constructed from these four factors were 0.820 and 0.780 in the training set, and 0.846 and 0.796 for the validation set, respectively. Furthermore, the calibration curves of the nomogram for both the training and validation sets closely approximated the ideal diagonal line. Additionally, decision curve analyses (DCAs) demonstrated a significantly better net benefit with this model. CONCLUSIONS A nomogram, developed using pre-discharge static factors, was designed to predict the likelihood of readmission within 1-year post-discharge for patients with schizophrenia. This tool may offer clinicians an accurate and effective way for the timely prediction and early management of psychiatric readmissions.
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Affiliation(s)
- Mingru Hou
- Department of General Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China
| | - Yuqing Wu
- Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China
| | - Jianhua Xue
- Health Screening Center, Shanghai Health and Medical Center, Wuxi, Jiangsu, 214065, China
| | - Qiongni Chen
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Yan Zhang
- Department of Nursing, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China
| | - Ruifen Zhang
- Department of Geriatric Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China
| | - Libo Yu
- Department of Substance Dependence, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China
| | - Jun Wang
- Department of Clinical Psychology, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China.
| | - Zhenhe Zhou
- Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi, Jiangsu, 214151, China.
| | - Xianwen Li
- School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, 211166, China.
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8
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Li J, Lei L, Wang W, Ding W, Yu Y, Pu B, Peng Y, Li Y, Zhang L, Guo Y. Social Risk Profile and Cardiovascular-Kidney-Metabolic Syndrome in US Adults. J Am Heart Assoc 2024; 13:e034996. [PMID: 39136302 DOI: 10.1161/jaha.124.034996] [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: 03/06/2024] [Accepted: 05/07/2024] [Indexed: 08/22/2024]
Abstract
BACKGROUND Poor cardiovascular-kidney-metabolic (CKM) health is associated with premature mortality and excess morbidity in the United States. Adverse social conditions have a prominent impact on cardiometabolic diseases during the life course. We aim to examine the association between social risk profile (SRP) and CKM multimorbidity among US adults. METHODS AND RESULTS We used data from the National Health and Nutrition Examination Survey from 1999 to 2018. The definition of CKM syndrome is the coexistence of subclinical or clinical cardiovascular disease, chronic kidney disease, and metabolic disorders. We classified participants by 4 CKM stages according to the different clinical severity of different forms of CKM syndrome. We calculated the summed number of positive SRP measures, including employed, high-income level, food secure, high education attainment, private insurance, owning a house, and married, as SRP scores and classified them into 4 levels by quartiles: low (0-2), lower-middle (3-4), upper-middle (5-6), and high (7-8). A total of 18 373 US adults, aged 20 to 79 years, were included in our analyses. There were 2567 (9.4%) participants with low SRP score level. Most individual SRP measures and a combined SRP score were associated with CKM stages. Compared with high SRP score level, low SRP level was associated with higher odds of having CKM stage 1 (odds ratio [OR], 1.34 [95% CI, 1.06-1.70]), CKM stage 2 (OR, 2.03 [95% CI, 1.59-2.58]), CKM stage 3 (OR, 5.28 [95% CI, 3.29-8.47]), and CKM stage 4 (OR, 5.97 [95% CI, 4.20-8.49]). CONCLUSIONS Cumulative social disadvantage, denoted by higher SRP burden, was associated with higher odds of CKM multimorbidity, independent of demographic and lifestyle factors.
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Affiliation(s)
- Jingkuo Li
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Lubi Lei
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Wei Wang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing China
| | - Wenbo Ding
- Cardio-Metabolic Medicine Center, National Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Yanwu Yu
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Boxuan Pu
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Yue Peng
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Yinchu Li
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Lihua Zhang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Yuanlin Guo
- Cardio-Metabolic Medicine Center, National Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
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Wang F, Li T, Han Q, Li W, Xu H, Lin S, Zeng X. Associations of tooth loss with risk of all-cause and cause-specific mortality among US adults with diabetes mellitus. J Dent 2024; 149:105304. [PMID: 39159741 DOI: 10.1016/j.jdent.2024.105304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 08/04/2024] [Accepted: 08/08/2024] [Indexed: 08/21/2024] Open
Abstract
OBJECTIVES To determine whether tooth loss affects all-cause and cause-specific mortality in a nationally representative sample of adults with diabetes mellitus (DM) in the United States. METHODS This prospective cohort study involved 8207 participants aged 30 years or older at baseline, all diagnosed with diabetes mellitus and enrolled in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Tooth loss was stratified into 28 teeth (complete), 20-27 teeth (tooth loss), 9-19 teeth (lacking functional), 1-8 teeth (severe tooth loss) and edentulism. To estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) for all-cause and specific-cause mortality in diabetes mellitus participants according to tooth loss, multivariate cox proportional hazards regression models were used. Relationships between mortality and quartiles of mean tooth loss levels were analyzed, with the lowest quartile as the baseline for comparisons. RESULTS During a median of 6.92 years of follow-up, 2317 deaths were documented. After multivariate adjustments, higher tooth loss levels were significantly and non-linearly associated with higher risks of all-cause, CVD-related and DM-related mortality among participants with DM. When compared with the reference group of mean tooth loss levels, the highest quartile showed significantly increased risks: all-cause mortality (HR, 2.11; 95 % CI, 1.53-2.91, P-trend < 0.001), CVD-related mortality (HR, 3.24, 95 % CI, 1.54-6.85, P-trend < 0.001) and DM-related mortality (HR, 2.78, 95 % CI, 1.15-6.68, P-trend < 0.001). CONCLUSIONS Tooth loss is associated with an increased risk of all-cause, CVD-related and diabetes mellitus mortality among adults with diabetes mellitus in the US. CLINICAL SIGNIFICANCE This study presents evidence for physicians and dentists that higher tooth loss was significantly associated with increased risk of all-cause, CVD-related and diabetes mellitus mortality in a dose-response manner among adults with diabetes mellitus. Therefore, assessment of survival in individuals with diabetes mellitus could pay attention to the tooth loss.
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Affiliation(s)
- Fei Wang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, PR China
| | - Tian Li
- Department of Prosthodontics, School of Stomatology, China Medical University, Shenyang, Liaoning, PR China
| | - Qi Han
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, PR China
| | - Weiqi Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, PR China
| | - Hao Xu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, PR China
| | - Shanfeng Lin
- Department of Oroamxillofacial-Head and Neck Surgery, School of Stomatology, China Medical University, Shenyang, Liaoning, PR China.
| | - Xin Zeng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, PR China.
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Zeng P, Li M, Cao J, Zeng L, Jiang C, Lin F. Association of metabolic syndrome severity with frailty progression among Chinese middle and old-aged adults: a longitudinal study. Cardiovasc Diabetol 2024; 23:302. [PMID: 39152431 PMCID: PMC11329990 DOI: 10.1186/s12933-024-02379-9] [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: 03/26/2024] [Accepted: 07/25/2024] [Indexed: 08/19/2024] Open
Abstract
BACKGROUND The binary diagnosis of Metabolic Syndrome(MetS) fails to accurately evaluate its severity, and the association between MetS severity and frailty progression remains inadequately elucidated. This study aims to clarify the relationship between the severity of MetS and the progression of frailty among the middle-aged and elderly population in China. METHOD Participants from the 2011-2018 China Health and Retirement Longitudinal Study(CHARLS) were included for a longitudinal analysis. The study employs a frailty index(FI) based on 32 health deficits to diagnose frailty and to assess FI trajectories. An age-sex-ethnicity-specific MetS scoring model (MetS score) was used to assess metabolic syndrome severity in Chinese adults. The Cumulative MetS score from 2012 to 2015 was calculated using the formula: (MetS score in wave 1 + MetS score in wave 3) / 2 × time(2015 - 2012). The association between MetS score, Cumulative MetS score, and the risk and trajectory of frailty were evaluated using Cox regression/logistic regression, and linear mixed models. Restricted Cubic Splines(RCS) models were utilized to detect potential non-linear associations. RESULTS A higher MetS score was significantly associated with an increased risk of frailty(HR per 1 SD increase = 1.205; 95%CI: 1.14 to 1.273) and an accelerated FI trajectory(β per 1 SD increase = 0.113 per year; 95%CI: 0.075 to 0.15 per year). Evaluating changes in MetS score using a Cumulative MetS score indicated that each 1 SD increase in the Cumulative MetS score increased the risk of frailty by 22.2%(OR = 1.222; 95%CI: 1.133 to 1.319) and accelerated the rate of increase in FI(β = 0.098 per year; 95%CI: 0.058 to 0.138 per year). RCS model results demonstrated a dose-response curve relationship between MetS score and Cumulative MetS score with frailty risk. Stratified analysis showed consistency across subgroups. The interaction results indicate that in males and individuals under aged 60, MetS score may accelerate the increase in FI, a finding consistent across both models. CONCLUSIONS Our findings underscore the positive correlation between the severity of MetS and frailty progression in the middle-aged and elderly, highlighting the urgent need for early identification of MetS and targeted interventions to reduce the risk of frailty.
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Affiliation(s)
- Peng Zeng
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
- Department of Geriatrics, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China
| | - Minjie Li
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
- The Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xi'an, 712000, China
| | - JiXing Cao
- Department of Ophthalmology, Shenzhen People's Hospital & Second Affiliated Hospital of Jinan University, 518020, Shenzhen, China
| | - Long Zeng
- Department of Cardiology, Shangrao People's Hospital, Shangrao, 334000, Jiangxi, China
| | - Cheng Jiang
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
- Department of Geriatrics, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China.
| | - Feng Lin
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
- Department of Geriatrics, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China.
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Mai LX, Liu Y, Wen H, Zeng ZY. The correlation between healthy lifestyle habits and all-cause and cardiovascular mortality in Guangxi. BMC Public Health 2024; 24:2226. [PMID: 39148074 PMCID: PMC11328494 DOI: 10.1186/s12889-024-19718-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 08/07/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Adherence to healthy lifestyle habits has become a mainstream approach for lessening the burden of cardiovascular disease (CVD) during initial prevention efforts. The purpose of this study was to investigate the prevalence of four healthy lifestyle habits, the associated factors, and their impact on all-cause and cardiovascular mortality among residents of Guangxi Zhuang Autonomous Region. METHODS From 2015 to 2019, individuals between the ages of 35 and 75 from Guangxi Zhuang Autonomous Region were recruited through the ChinaHeart Million Person Project. Our study examined four healthy lifestyle habits: not smoking, no or moderate amounts of alcohol, sufficient leisure time physical activity (LTPA) and a balanced diet. RESULTS Out of the 19,969 individuals involved, the majority, 77.3% did not smoke, while 96.7% had limited alcohol intake, 24.5% engaged in sufficient LTPA, 5.5% followed a balanced diet, and merely 1.7% adhered to all four healthy lifestyle habits. Participants who were women, older, nonfarmers, living in cities, with a high income or level of education, or had hypertension or diabetes were more likely to follow all four healthy lifestyle habits (p < 0.001). People who followed the three healthy lifestyle habits had reduced chances of death from all cause (HR 0.34[95% CI:0.15,0.76]) and cardiovascular-related death (HR 0.23 [95% CI: 0.07, 0.68]) (p < 0.01) over a median period of 3.5 years. CONCLUSIONS In Guangxi Province, the level of adherence to healthy lifestyle habits is very minimal. Therefore, population-specific health promotion strategies are urgently needed.
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Affiliation(s)
- Lan-Xian Mai
- The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, China
- School of Information and Management, Guangxi Medical University, No.22 Shuangyong Road, Nanning, 530021, China
- Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Nanning, China
- Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning, China
| | - Ying Liu
- The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, China
- Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Nanning, China
- Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning, China
- School of Public Administration, Guangxi University, No.100 East University Road, Nanning, 530004, China
| | - Hong Wen
- The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, China.
- Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Nanning, China.
- Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning, China.
| | - Zhi-Yu Zeng
- The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, China.
- School of Information and Management, Guangxi Medical University, No.22 Shuangyong Road, Nanning, 530021, China.
- Guangxi Key Laboratory of Precision Medicine in Cardio-Cerebrovascular Diseases Control and Prevention, Nanning, China.
- Guangxi Clinical Research Center for Cardio-Cerebrovascular Diseases, Nanning, China.
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12
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Zhou L, Nutakor JA, Larnyo E, Addai-Dansoh S, Cui Y, Gavu AK, Kissi J. Exploring socioeconomic status, lifestyle factors, and cardiometabolic disease outcomes in the United States: insights from a population-based cross-sectional study. BMC Public Health 2024; 24:2174. [PMID: 39134948 PMCID: PMC11318151 DOI: 10.1186/s12889-024-19685-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 08/02/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Cardiometabolic diseases are a major global health concern. This study aims to identify areas for targeted interventions and investigate the impact of socioeconomic status and lifestyle as a potential mediator in the context of the US. METHODS Our study analyzed data from the Health Information National Trends Survey 5, a nationwide survey by the National Cancer Institute. Using standardized scales and questions, we examined cardiometabolic disease outcomes, lifestyle factors, and socioeconomic status of non-institutionalized civilians aged 18 + in the US. We analyzed the data using structural equation modelling. RESULTS Our findings show that socioeconomic status and lifestyle significantly predict cardiometabolic disease outcomes. However, our analysis did not support lifestyle as the primary mediating factor in the association between socioeconomic status and cardiometabolic diseases, suggesting that other factors may significantly influence this relationship. CONCLUSIONS Cardiometabolic diseases require lifestyle and structural interventions addressing socioeconomic factors. Policymakers must consider multifaceted factors to prevent, detect, and manage these diseases effectively and equitably.
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Affiliation(s)
- Lulin Zhou
- School of Management, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | | | - Ebenezer Larnyo
- Center for Black Studies Research, University of California, Santa Barbara, CA, United States of America
| | | | - Yupeng Cui
- School of Management, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Alexander Kwame Gavu
- Department of Educational Administration, University of Saskatchewan, Saskatoon, SK, Canada
| | - Jonathan Kissi
- Department of Health Information Management, College of Health and Allied Sciences, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana
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Chen W, Zhao Y, Lu H, Yi J, Li J, Song X, Zhang J, Yang S, Ni J, Wang Z, Shi Y, Ni Y, Zhang Z, Zhu S, Nie S, Liu L. Associations of dietary patterns with risk of gastrointestinal disorders: a prospective cohort study. Food Funct 2024; 15:8510-8520. [PMID: 39056582 DOI: 10.1039/d4fo01668h] [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: 07/28/2024]
Abstract
Gastrointestinal (GI) disorders are highly prevalent and severely diminish life quality. It is yet unknown which dietary pattern is optimal for the prevention of GI disorders. Among 141 450 participants from UK Biobank with a median follow-up of 15 years, we comprehensively assessed 13 dietary patterns in relation to 6 GI disorders. Multivariable Cox proportional hazards models demonstrated that adherence to healthy diets was associated with lower risk of GI disorders, with the strongest associations observed for the Dietary Approaches to Stop Hypertension (DASH) diet (HRQ4 vs. Q1 = 0.85, 95% CI: 0.81, 0.88), the Alternate Mediterranean Diet (AMED) (HRQ4 vs. Q1 = 0.85, 95% CI: 0.81, 0.88), and the Alternate Healthy Eating Index-2010 (AHEI-2010) (HRQ4 vs. Q1 = 0.86, 95% CI: 0.82, 0.89). AHEI-2010 (HRs ranging from 0.76 to 0.90) and DASH (HRs ranging from 0.75 to 0.88) showed inverse associations with every individual GI disorder. Furthermore, comorbidities decreased significantly in number with higher AMED and DASH diet scores (P for trend <0.001). Finally, the associations of AHEI-2010, AMED and DASH with GI disorders diminished most intensely after removing the component of fruits or whole grains. The combined intake of fruits and whole grains was inversely associated with the risk of overall GI disorders (HRT3 vs. T1 = 0.89, 95% CI: 0.86, 0.93). In conclusion, AHEI-2010 and DASH were the most recommended dietary patterns for the prevention of GI disorders. Fruits and whole grains are the most significant contributors to the protective effect.
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Affiliation(s)
- Weiyi Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Yingying Zhao
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Haojie Lu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Jing Yi
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Jia Li
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Xuemei Song
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Jia Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Shuaishuai Yang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Jingjing Ni
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Zhen Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Yuting Shi
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Yuxin Ni
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Zhihao Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Sijia Zhu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Shaofa Nie
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
| | - Li Liu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, P.R. China.
- Hubei Provincial Clinical Research Center for Colorectal Cancer, Wuhan, Hubei, 430000, P.R. China
- Wuhan Clinical Research Center for Colorectal Cancer, Wuhan, Hubei, 430000, P.R. China
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Malani K, Pradhan S, Roberts M, Saquib N, Snetselaar L, Shadyab A, Eaton CB. Joint effect of rheumatoid arthritis and diet quality on cardiovascular and mortality outcomes: insights from the Women's Health Initiative. Clin Rheumatol 2024:10.1007/s10067-024-07092-2. [PMID: 39098912 DOI: 10.1007/s10067-024-07092-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/05/2024] [Accepted: 07/29/2024] [Indexed: 08/06/2024]
Abstract
OBJECTIVES This study aimed to examine the combined impact of diet quality and rheumatoid arthritis (RA) on development of cardiovascular and mortality outcomes among postmenopausal women. METHODS A total of 99,840 women without baseline RA and 10,494 women with baseline RA were prospectively followed for an average of 12.7 years through the Women's Health Initiative. Diet quality was evaluated using food frequency questionnaires and the Healthy Eating Index 2015. Cardiovascular and mortality outcomes were identified through study follow-up. Four patient groups were used: Reference Group (no RA and healthy diet), Group 1 (no RA and unhealthy diet), Group 2 (RA and healthy diet), Group 3 (RA and unhealthy diet). Data was analyzed using multivariable Cox proportional regression models. RESULTS After adjustment for confounders, Groups 1 and 3 developed significantly more cardiovascular disease (CVD), coronary heart disease, and incident stroke as compared to the reference. All groups developed more CVD-related mortality and all-cause mortality as compared to the reference. Among patients who already have RA, the incidence of these poorer cardiovascular outcomes does not significantly increase based on diet quality. CONCLUSION While healthy diet quality is associated with reduced adverse cardiovascular and mortality outcomes, RA overpowers the benefits that may be attained through a healthy diet, resulting in the fact that diet quality does not significantly change cardiovascular and mortality outcome incidence in those who already have RA. Conversely, in those who do not have RA, the benefits of a healthy diet are realized with significant reduction of adverse cardiovascular and mortality outcomes as compared to those with an unhealthy diet. Key Points •Healthy diet quality is associated with reduced adverse cardiovascular and mortality outcomes. •RA is associated with increased adverse cardiovascular and mortality outcomes. •While diet quality does not significantly change cardiovascular and mortality outcomes in those who already have RA, those without RA experience significant reduction of these adverse outcomes by adhering to a healthy diet.
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Affiliation(s)
- Kanika Malani
- Warren Alpert Medical School, Brown University, Providence, RI, USA.
| | - Sushaili Pradhan
- Center for Primary Care and Prevention, Brown University, Pawtucket, RI, USA
| | - Mary Roberts
- Center for Primary Care and Prevention, Brown University, Pawtucket, RI, USA
| | - Nazmus Saquib
- Department of Epidemiology, Sulaiman AlRajhi University, Al-Bukayriyah, Saudi Arabia
| | - Linda Snetselaar
- Department of Epidemiology, University of Iowa School of Public Health, Iowa City, IA, USA
| | - Aladdin Shadyab
- Department of Epidemiology, University of California Herbert Wertheim School of Public Health and Human Longevity Science, San Diego La Jolla, San Diego, CA, USA
| | - Charles B Eaton
- Center for Primary Care and Prevention, Brown University, Pawtucket, RI, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
- Department of Family Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
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15
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Li D, Wang A, Li Y, Ruan Z, Zhao H, Li J, Zhang Q, Wu B. Nonlinear relationship of red blood cell indices (MCH, MCHC, and MCV) with all-cause and cardiovascular mortality: A cohort study in U.S. adults. PLoS One 2024; 19:e0307609. [PMID: 39093828 PMCID: PMC11296621 DOI: 10.1371/journal.pone.0307609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 07/09/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND In recent years, increasing attention has been focused on the impact of red blood cell indices (RCIs) on disease prognosis. We aimed to investigate the association of mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and mean corpuscular volume (MCV) with mortality. METHODS The study used cohort data from U.S. adults who participated in the 1999-2008 National Health and Nutrition Examination Survey. All-cause mortality was the primary outcome during follow-up, with secondary cardiovascular mortality outcomes. COX regression was applied to analyze the connection between RCIs and mortality. We adopted three models to minimize potential bias. Smooth-fit curves and threshold effect analyses were utilized to observe the dose-response relationship between RCIs and all-cause and cardiovascular mortality. In addition, we performed sensitivity analyses. RESULTS 21,203 individuals were enrolled in our research. During an average 166.2 ± 54.4 months follow-up, 24.4% of the population died. Curve fitting indicated a U-shaped relationship between MCV and MCH with all-cause mortality, and the relationship of MCHC to all-cause mortality is L-shaped. We identified inflection points in the relationship between MCV, MCH, and MCHC and all-cause mortality as 88.56732 fl, 30.22054 pg, 34.34624 g/dl (MCV <88.56732 fl, adjusted HR 0.99, 95 CI% 0.97-1.00; MCV >88.56732 fl, adjusted HR 1.05, 95 CI% 1.04-1.06. MCH <30.22054 pg, adjusted HR 0.95, 95 CI% 0.92-0.98; MCH >30.22054 pg, adjusted HR 1.08, 95 CI% 1.04-1.12. MCHC <34.34624 g/dl, adjusted HR 0.88, 95 CI% 0.83-0.93). Besides, the MCV curve was U-shaped in cardiovascular mortality (MCV <88.56732 fl, adjusted HR 0.97, 95 CI% 0.94-1.00; MCV >88.56732 fl, adjusted HR 1.04, 95 CI% 1.01-1.06). CONCLUSION This cohort study demonstrated that RCIs (MCH, MCHC, and MCV) were correlated with mortality in the general population. Three RCIs were nonlinearly correlated with all-cause mortality. In addition, there were nonlinear relationships between MCH and MCV and cardiovascular mortality.
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Affiliation(s)
- Dan Li
- The First Clinical College, Shandong University of Traditional Chinese Medicine, Ji Nan, People’s Republic of China
| | - Aiting Wang
- Dongying People’s Hospital, Dongying, People’s Republic of China
| | - Yeting Li
- Dongying People’s Hospital, Dongying, People’s Republic of China
| | - Zhishen Ruan
- The First Clinical College, Shandong University of Traditional Chinese Medicine, Ji Nan, People’s Republic of China
| | - Hengyi Zhao
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Jing Li
- The First Affiliated Hospital of Shandong First Medical University, Jinan, People’s Republic of China
| | - Qing Zhang
- Dongying People’s Hospital, Dongying, People’s Republic of China
| | - Bo Wu
- Department of Cardiovascular Medicine, The First Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
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Li R, Shao J, Hu C, Xu T, Zhou J, Zhang J, Liu Q, Han M, Ning N, Fan X, Zhou W, Huang R, Ma Y, Jin L. Metabolic risks remain a serious threat to cardiovascular disease: findings from the Global Burden of Disease Study 2019. Intern Emerg Med 2024; 19:1299-1312. [PMID: 38642311 DOI: 10.1007/s11739-024-03605-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 04/02/2024] [Indexed: 04/22/2024]
Abstract
Metabolic factors are major and controllable risk factors for cardiovascular diseases (CVD), and few studies have described this burden. We aim to assess it from 1990 to 2019 and predict the trends through 2034. Global Burden of Disease (GBD) provides data on sex, age, and socio-demographic index (SDI) levels. Numbers, age-standardized death rates (ASDR) and estimated annual percentage change (EAPC) were used. Future trends were estimated by NORDPRED model. The deaths cases of metabolic-related CVD increased from 8.61 million (95% UI: 7.91-9.29) to 13.71 million (95% UI: 12.24-14.94) globally. The ASDR continued to decline globally (EAPC = -1.36). The burden was heavier in male and middle-aged people and elderly people. CVD-related ASDR caused by high systolic blood pressure (SBP) had a downward trend globally (EAPC = -1.45), while trends of high body mass index (BMI) (EAPC = 1.29, 1.97, 0.92) and fasting plasma glucose (FPG) (EAPC = 0.95, 1.08, 0.46) were increasing in the middle, low-middle, and low SDI regions, respectively. Compared to 2015-2019, cumulative deaths will increase by 27.85% from 2030 to 2034, while ASDR will decrease 10.47%. The metabolic-related CVD burden remained high globally and deaths will continue to rise in the future. Men, middle-aged and elderly people were focus of concern. High SBP was globally well-managed over the past 30 years, but the CVD burden due to high BMI and FPG remained high. Exceptional initiatives are needed to regarding interventions targeting high BMI and FPG in middle and lower SDI regions.
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Affiliation(s)
- Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, 130021, Jilin, China
| | - Jinang Shao
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Chengxiang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, 130021, Jilin, China
| | - Tong Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, 130021, Jilin, China
| | - Jin Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Jiaqi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, 130021, Jilin, China
| | - Qitong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Mengying Han
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Ning Ning
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, 130021, Jilin, China
| | - Wenhui Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Rong Huang
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Yanan Ma
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Changchun, 130021, Jilin, China.
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Li C, Wang L, Ding L, Zhou Y. Determinants and inequities in healthy working life expectancy in China. Nat Med 2024:10.1038/s41591-024-03184-3. [PMID: 39090410 DOI: 10.1038/s41591-024-03184-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 07/10/2024] [Indexed: 08/04/2024]
Abstract
Many countries are raising the pension age to mitigate the challenges of population aging, but such a solution may ignore the disparities in health and working conditions across populations. Using large-scale longitudinal data from China, this study provides estimates of healthy working life expectancy (HWLE), defined as the average number of years expected to be spent healthy and in work from age 50 years, and highlights substantial inequities in HWLE by gender, socioeconomic status and geographical region. The HWLE from age 50 years was, on average, 6.87 (95% confidence interval: 6.70 to 7.04) years in China. Hypertension was the leading chronic condition for people working unhealthily (5.67 years for men and 4.85 years for women), and arthritis contributed the largest differences in unhealthy working years across people by occupation (agricultural laborer versus enterprise employee, 3.28 years). Moreover, adopting healthy lifestyles was associated with gains in HWLE (2.13 years for men and 1.61 years for women). Our findings suggest that increasing the pension age through a 'one-size-fits-all' approach may not effectively meet the goal of extending working lives. Inclusive initiatives aimed at targeted populations to promote health or work conditions and to facilitate the pension system will be essential to improve HWLE by reducing inequities.
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Affiliation(s)
- Chenshuang Li
- Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China
| | - Lingling Wang
- Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China
| | - Lieyun Ding
- Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Zhou
- Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, China.
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Fan Z, Xu M, Chen S, Wang J, Gong Y, Feng X, Yin X. Association of Socioeconomic Status and a Broad Combination of Lifestyle Factors With Adult-Onset Asthma: A Cohort Study. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024; 12:2066-2073. [PMID: 38631523 DOI: 10.1016/j.jaip.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 03/26/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND The prevalence of asthma is gradually increasing worldwide, and there are socioeconomic inequalities in the risk of developing asthma. OBJECTIVE To evaluate whether the lifestyle is associated with asthma in adults, as well as whether and to what extent healthy lifestyles may modify socioeconomic status (SES) inequities in asthma. METHODS This study included a total of 223,951 participants from the UK Biobank. Smoking, physical activity, alcohol consumption, healthy diet patterns, sedentary time, and sleep duration items were used to construct the lifestyle score. Income, education, and occupation were used to assess SES. Cases of adult-onset asthma were identified on the basis of electronic health records. The Cox proportional hazards regression was used to explore the association of socioeconomic inequality and lifestyle factors with asthma. RESULTS Compared with the most healthy lifestyle category, the hazard ratios (95% CIs) of the moderately healthy lifestyle and least healthy lifestyle categories for asthma were 1.08 (1.01-1.15) and 1.29 (1.20-1.39), respectively. A significant interaction (Pinteraction < .05) was found between lifestyle categories and SES, and the association between them was more pronounced in participants with low SES (hazard ratioleast healthy vs most healthy, 1.58; 95% CI, 1.40-1.80). The joint analysis revealed that the risk of asthma was highest among participants with the lowest SES and the least healthy lifestyles (hazard ratio, 2.02; 95% CI, 1.74-2.33). CONCLUSIONS Unhealthy lifestyle factors are associated with an increased risk of asthma in adults, and socioeconomically disadvantaged groups are more negatively affected by unhealthy lifestyles. Public health strategies for asthma prevention may need to be tailored according to SES, and social policies to reduce poverty are needed alongside lifestyle interventions in areas of deprivation.
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Affiliation(s)
- Zina Fan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minzhi Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shanquan Chen
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Jing Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yanhong Gong
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xinglin Feng
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
| | - Xiaoxv Yin
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Melaku YA, Appleton S, Reynolds AC, Milne RL, Lynch BM, Eckert DJ, Adams R. Healthy lifestyle is associated with reduced cardiovascular disease, depression and mortality in people at elevated risk of sleep apnea. J Sleep Res 2024; 33:e14069. [PMID: 37867414 DOI: 10.1111/jsr.14069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/04/2023] [Accepted: 10/02/2023] [Indexed: 10/24/2023]
Abstract
We assessed: (1) the independent and joint association of obstructive sleep apnea risk and healthy lifestyle with common consequences (excessive daytime sleepiness, depression, cardiovascular disease and stroke) of obstructive sleep apnea; and (2) the effect of healthy lifestyle on survival in people with increased obstructive sleep apnea risk. Data from 13,694 adults (median age 46 years; 50% men) were used for cross-sectional and survival analyses (mortality over 15 years). A healthy lifestyle score with values from 0 (most unhealthy) to 5 (most healthy) was determined based on diet, alcohol intake, physical activity, smoking and body mass index. In the cross-sectional analysis, obstructive sleep apnea risk was positively associated with all chronic conditions and excessive daytime sleepiness in a dose-response manner (p for trend < 0.001). The healthy lifestyle was inversely associated with all chronic conditions (p for trend < 0.001) but not with excessive daytime sleepiness (p for trend = 0.379). Higher healthy lifestyle score was also associated with reduced odds of depression and cardiovascular disease. We found an inverse relationship between healthy lifestyle score with depression (p for trend < 0.001), cardiovascular disease (p for trend = 0.003) and stroke (p for trend = 0.025) among those who had high obstructive sleep apnea risk. In the survival analysis, we found an inverse association between healthy lifestyle and all-cause mortality for all categories of obstructive sleep apnea risk (moderate/high- and high-risk groups [p for trend < 0.001]). This study emphasises the crucial role of a healthy lifestyle in mitigating the effects of obstructive sleep apnea risk in individuals with an elevated obstructive sleep apnea risk.
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Affiliation(s)
- Yohannes Adama Melaku
- FHMRI Sleep (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, South Australia, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Sarah Appleton
- FHMRI Sleep (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Amy C Reynolds
- FHMRI Sleep (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Danny J Eckert
- FHMRI Sleep (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Robert Adams
- FHMRI Sleep (Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, South Australia, Australia
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20
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Lu TY, Zhang WS, Jiang CQ, Jin YL, Au Yeung SL, Cheng KK, Lam TH, Xu L. Associations of soy product intake with all-cause, cardiovascular disease and cancer mortality: Guangzhou Biobank Cohort Study and updated meta-analyses. Eur J Nutr 2024; 63:1731-1745. [PMID: 38520523 DOI: 10.1007/s00394-024-03363-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 03/10/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE We examined the associations of soy product intake with all-cause, cardiovascular disease (CVD), and cancer mortality and mediations through CVD risk factors based on the Guangzhou Biobank Cohort Study (GBCS), and conducted updated meta-analyses. METHODS A total of 29,825 participants aged 50 + years were included. Causes of death were identified through record linkage. Soy product intake was assessed by food frequency questionnaire. Cox proportional hazards regression was used to analyze the associations between soy product intake and mortality, yielding hazard ratios (HRs) and 95% confidence intervals (CIs). Mediation analyses with CVD risk factors as mediators, and updated meta-analyses were conducted. RESULTS During 454,689 person-years of follow-up, 6899 deaths occurred, including 2694 CVD and 2236 cancer. Participants who consumed soy product of 1-6 portions/week, versus no consumption, had significantly lower risks of all-cause and CVD mortality (adjusted HR (95% CI) 0.91 (0.86, 0.97) and 0.87 (0.79, 0.96), respectively). In participants who consumed soy product of ≥ 7 portions/week, the association of higher intake with lower CVD mortality was modestly mediated by total cholesterol (4.2%, 95% CI 1.0-16.6%). Updated meta-analyses showed that the highest level of soy product intake, versus the lowest, was associated with lower risks of all-cause and CVD mortality (pooled HR (95% CI) 0.92 (0.88, 0.96) and 0.92 (0.87, 0.98), respectively). CONCLUSION Moderate and high soy product intake were associated with lower risks of all-cause and CVD mortality. Our findings provide support for current dietary guidelines recommending moderate soy product intake, and contribute additional evidence regarding the potential protective effects of high soy product intake.
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Affiliation(s)
- Ting Yu Lu
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Wei Sen Zhang
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China.
| | - Chao Qiang Jiang
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Ya Li Jin
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Shiu Lun Au Yeung
- School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Tai Hing Lam
- School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
- School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong.
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
- Greater Bay Area Public Health Research Collaboration, Guangzhou, China.
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Hu C, Jiang K, Sun X, He Y, Li R, Chen Y, Zhang Y, Tao Y, Jin L. Change in Healthy Lifestyle and Subsequent Risk of Cognitive Impairment Among Chinese Older Adults: A National Community-Based Cohort Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae148. [PMID: 38836313 DOI: 10.1093/gerona/glae148] [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: 02/08/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND The association between change in lifestyle and cognitive impairment remains uncertain. OBJECTIVES To investigate the association of change in lifestyle with cognitive impairment. METHODS In this study, 4 938 participants aged 65 or older were involved from the Chinese Longitudinal Healthy Longevity Survey for years 2008-2018. A weighted healthy lifestyle score was derived from 4 lifestyle factors (smoking, alcohol consumption, physical activity, and diet). Multivariable Cox proportional hazards regression models were applied to investigate the associations between 3-year changes in healthy lifestyle (2008-2011) and cognitive impairment (2011-2018). RESULTS Researchers documented 833 new-onset of cognitive impairments more than 20 097 person-years of follow up. Compared with those in the persistently unhealthy group, those in the improved and persistently healthy groups had a lower risk of cognitive impairment, with the multivariate-adjusted hazard ratios (HRs) of 0.67 (95% confidence interval (CI): 0.55, 0.83) and 0.53 (95% CI: 0.40, 0.71), respectively. Furthermore, a significant interaction was observed between change in lifestyle and sex (p-interaction = .032); the HRs were 0.48 (95% CI, 0.34, 0.69) for the improved group and 0.41 (95% CI: 0.26, 0.64) for persistently healthy group among male vs 0.81 (95% CI, 0.63, 1.04) and 0.64 (95% CI, 0.44, 0.92) among female, respectively. CONCLUSIONS This study suggests that improving or maintaining a healthy lifestyle can significantly mitigate the risk of cognitive impairment in Chinese older adults. Additionally, researcher's findings emphasize the significance of maintaining a healthy lifestyle and highlights the potential positive impact of improving previous unhealthy habits, especially for older women.
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Affiliation(s)
- Chengxiang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Kexin Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Xiaoyue Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Yana Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Yuchun Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China
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Li C, He D, Yang C, Zhang L. Daytime Napping, Incident Atrial Fibrillation, and Dynamic Transitions With Dementia. JACC. ADVANCES 2024; 3:101108. [PMID: 39105122 PMCID: PMC11299576 DOI: 10.1016/j.jacadv.2024.101108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/07/2024] [Indexed: 08/07/2024]
Abstract
Background Associations between napping and incident atrial fibrillation (AF) remain unknown, and few studies have accounted for dynamic transitions between AF and dementia. Objectives The purpose of this study was to evaluate associations between napping with incident AF and the dynamic transitions of AF and dementia, as well as the mediation pathway of left ventricular (LV) size and function. Methods A total of 476,588 participants from UK Biobank were included. Napping frequency and other sleep behaviors were evaluated. Incident AF, dementia, and mortality were ascertained via linkage to external registry databases. LV size and function indices were obtained from cardiovascular magnetic resonance imaging phenotypes. A multistate survival analysis was conducted to examine daytime napping in relation to dynamic transitions. Weighed AF genetic risk score was calculated. Results Frequent daytime napping, compared to never/rarely napping, was associated with a 1.17-fold AF risk (HR: 1.17; 95% CI: 1.12-1.22), which persisted after controlling for other sleep behaviors. Genetic predisposition significantly modified associations between napping and AF (P for interaction <0.001), with stronger associations observed in those of low and moderate genetic risk. LV ejection fraction significantly mediated 26.2% (95% CI: 4.2%-74.1%) of associations between napping and AF. Frequent napping was also associated with a 1.27-fold risk of transition from AF to comorbidity of AF and dementia. Conclusions Our findings highlight the potential importance of screening for napping in view of the association with incident AF and dementia. Routine evaluations of the LV ejection fraction could be warranted to timely identify early indications of AF onset among habitual nappers.
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Affiliation(s)
- Chenglong Li
- National Institute of Health Data Science at Peking University, Beijing, China
- Institute of Medical Technology, Health Science Center of Peking University, Beijing, China
| | - Daijun He
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
- Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing, China
| | - Luxia Zhang
- National Institute of Health Data Science at Peking University, Beijing, China
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China
- Center for Digital Health and Artificial Intelligence, Peking University First Hospital, Beijing, China
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Hua Y, Fan X, Yang M, Su J, Guo J, Jin J, Sun D, Pei P, Yu C, Lyu J, Tao R, Zhou J, Lu Y. Association between socioeconomic status and risk of chronic obstructive pulmonary disease in China: a prospective cohort study. BMC Public Health 2024; 24:2077. [PMID: 39085848 PMCID: PMC11292937 DOI: 10.1186/s12889-024-19490-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/15/2024] [Indexed: 08/02/2024] Open
Abstract
OBJECTIVE Socioeconomic status (SES) has been proven to be associated with chronic obstructive pulmonary disease (COPD) in Western populations, but the evidence is very limited in China. This study aimed to investigate the association between SES and the risk of COPD incident. METHODS This study was based on the China Kadoorie Biobank (CKB) project in Wuzhong District, Suzhou. A total of 45,484 adults aged 30-79 were included in the analysis during 2004-2008. We used Cox proportional hazard models to investigate the association between SES and the risk of COPD. Household income, education, private property and consumption potential was used to measure SES. Incident COPD cases were ascertained using hospitalization records, death certificates, and active follow-up. RESULTS A total of 524 COPD cases were identified during a median follow-up of 11.2 years. Household income was inversely associated with the risk of COPD (Ptrend<0.005). The adjusted hazard ratios (95% confidence intervals) for incident COPD were 0.88 (0.69-1.14), 0.77 (0.60-0.99), and 0.42 (0.31-0.57) for participants with annual household income of 10,000 ~ 19,999 yuan, 20,000 ~ 34,999 yuan and ≥ 35,000 yuan respectively, in comparison to participants with an annual household income < 10,000 yuan. Furthermore, we found that education level, refrigerator use, private toilet, private phone, and motor vehicle were adversely associated with COPD risk, while ownership of newly renovated flats was positively correlated with COPD incident. CONCLUSIONS This prospective study suggests that SES is associated with the risk of COPD in Chinese adults. Population-based COPD prevention strategies tailored for people with different SES could help reduce the burden of COPD in Chinese.
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Affiliation(s)
- Yujie Hua
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, 215004, China
| | - Xikang Fan
- Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, Jiangsu, China
| | - Mengshi Yang
- Department of Epidemiology and Health Statistics, Southeast University, Nanjing, 210009, China
| | - Jian Su
- Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, Jiangsu, China
| | - Jia Guo
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, 215004, China
| | - Jianrong Jin
- Wuzhong District Disease Control and Prevention Centre, Suzhou, 215000, China
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Jun Lyu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Xueyuan Road, Haidian District, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Ran Tao
- Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, Jiangsu, China
| | - Jinyi Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, Jiangsu, China.
| | - Yan Lu
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, 215004, China.
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Kang XJ, Sui XD. Association between adherence to a lifestyle behavior and the risk of asthma in overweight and obese adolescents. BMC Pediatr 2024; 24:489. [PMID: 39085812 PMCID: PMC11293021 DOI: 10.1186/s12887-024-04967-w] [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: 04/14/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024] Open
Abstract
With the increasing prevalence of overweight and obesity in children and adolescents, to actively prevent the occurrence of asthma in this population is important for reducing the burden of the disease. Lifestyle factors, including diet and exercise, are importance for overweight and obese adolescents, as well as an important modifiable factor affecting airway inflammation and asthma, whether healthy lifestyle was correlated with the risk of asthma in adolescents ≥ 12 years has not been reported. We suspected that there might be correlation between healthy lifestyle behaviors and the risk of asthma in overweight and obese adolescents. This cross-sectional study aimed to explore the association between the adherence to a healthy lifestyle behaviors and the risk of asthma in overweight and obese adolescents based on the data of 945 participants aged between 12-18 years from the National Health and Nutrition Examination Surveys (NHANES). Univariable and multivariable weighted Logistic regression models were applied to evaluate the association between healthy lifestyle behaviors with asthma risk in overweight and obese adolescents. Odds ratio (OR) and 95% confidence interval (CI) were applied as estimates. We found that the risk of asthma was reduced in overweight and obese adolescents with intermediate (OR = 0.40, 95%CI: 0.17-0.94) or good lifestyle behaviors (OR = 0.33, 95%CI: 0.13-0.86) in comparison to those with poor lifestyle behaviors. In summary, intermediate or good lifestyle behaviors was correlated with decreased risk of asthma in overweight and obese adolescents, which might provide a reference for making further prevention strategies for asthma in adolescents.
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Affiliation(s)
- Xiao-Jun Kang
- Xiamen Children's Hospital/Children's Hospital of Fudan University at Xiamen, Xiamen, Fujian, 361006, China
- Xingbin Street Community Health Service Center in Jimei District, Xiamen City, Xiamen, Fujian, 361021, China
| | - Xiao-Dong Sui
- Xiamen Children's Hospital/Children's Hospital of Fudan University at Xiamen, Xiamen, Fujian, 361006, China.
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Bian Z, Wang L, Fan R, Sun J, Yu L, Xu M, Timmers PRHJ, Shen X, Wilson JF, Theodoratou E, Wu X, Li X. Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies. BMJ Evid Based Med 2024; 29:255-263. [PMID: 38684374 DOI: 10.1136/bmjebm-2023-112583] [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] [Accepted: 03/15/2024] [Indexed: 05/02/2024]
Abstract
OBJECTIVE To investigate the associations across genetic and lifestyle factors with lifespan. DESIGN A longitudinal cohort study. SETTING UK Biobank. PARTICIPANTS 353 742 adults of European ancestry, who were recruited from 2006 to 2010 and were followed up until 2021. EXPOSURES A polygenic risk score for lifespan with long (highest quintile) risk categories and a weighted healthy lifestyle score, including no current smoking, moderate alcohol consumption, regular physical activity, healthy body shape, adequate sleep duration, and a healthy diet, categorised into favourable, intermediate, and unfavourable lifestyles. MAIN OUTCOME MEASURES Lifespan defined as the date of death or the censor date minus the date of birth. RESULTS Of the included 353 742 participants of European ancestry with a median follow-up of 12.86 years, 24 239 death cases were identified. Participants were grouped into three genetically determined lifespan categories including long (20.1%), intermediate (60.1%), and short (19.8%), and into three lifestyle score categories including favourable (23.1%), intermediate (55.6%), and unfavourable (21.3%). The hazard ratio (HR) of death for individuals with a genetic predisposition to a short lifespan was 1.21 (95% CI 1.16 to 1.26) compared to those with a genetic predisposition to a long lifespan. The HR of death for individuals in the unfavourable lifestyle category was 1.78 (95% CI 1.71 to 1.85), compared with those in the favourable lifestyle category. Participants with a genetic predisposition to a short lifespan and an unfavourable lifestyle had 2.04 times (95% CI 1.87 to 2.22) higher rates of death compared with those with a genetic predisposition to a long lifespan and a favourable lifestyle. No multiplicative interaction was detected between the polygenic risk score of lifespan and the weighted healthy lifestyle score (p=0.10). The optimal combination of healthy lifestyles, including never smoking, regular physical activity, adequate sleep duration, and a healthy diet, was derived to decrease risk of premature death (death before 75 years). CONCLUSION Genetic and lifestyle factors were independently associated with lifespan. Adherence to healthy lifestyles could largely attenuate the genetic risk of a shorter lifespan or premature death. The optimal combination of healthy lifestyles could convey better benefits for a longer lifespan, regardless of genetic background.
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Affiliation(s)
- Zilong Bian
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lijuan Wang
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Rong Fan
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jing Sun
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lili Yu
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Meihong Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
| | - Paul R H J Timmers
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- Department of Biostatistics, School of Public Health and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - James F Wilson
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xifeng Wu
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, China
| | - Xue Li
- Department of Big Data in Health Science, School of Public Health and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
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Guo L, Tu B, Li D, Zhi L, Zhang Y, Xiao H, Li W, Xu X. Association between United States Environmental Contaminants and the Prevalence of Psoriasis Derived from the National Health and Nutrition Examination Survey. TOXICS 2024; 12:522. [PMID: 39058174 PMCID: PMC11281726 DOI: 10.3390/toxics12070522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024]
Abstract
(1) Background: Prolonged coexposure to environmental contaminants is reportedly associated with adverse impacts on skin health. However, the collective effects of contaminant mixtures on psoriasis prevalence remain unclear. (2) Methods: A nationally representative cohort study was conducted using data from the National Health and Nutrition Examination Survey 2003-2006 and 2009-2014. The association between contaminant exposures and psoriasis prevalence was analyzed through weighted quantile sum regressions, restricted cubic splines, and multivariable logistic regression. (3) Results: 16,453 participants and 60 contaminants in 8 groups were involved. After adjusting for demographics and comorbidities, exposure to urinary perchlorate, nitrate, and thiocyanate mixtures (OR: 1.10, 95% CI: 1.00-1.21) demonstrated a significant positive linear association with psoriasis prevalence. Ethyl paraben (OR: 1.21, 95% CI: 1.02-1.44) exhibited a significant positive correlation with psoriasis risk as an individual contaminant. The association between blood cadmium, lead, and mercury mixtures (OR: 1.10, 95% CI: 1.00-1.21), urinary perchlorate, nitrate, and thiocyanate mixtures (OR: 1.16, 95% CI: 1.00-1.34), and psoriasis prevalence was more pronounced in the lower healthy lifestyle score subgroup. (4) Conclusions: Exposure to perchlorate, nitrate, and thiocyanate mixtures, and ethyl paraben was associated with an elevated psoriasis prevalence. Furthermore, the association between cadmium and lead and mercury mixtures as well as perchlorate, nitrate and thiocyanate mixtures, and psoriasis prevalence was more pronounced in individuals with less healthy lifestyles.
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Affiliation(s)
| | | | | | | | | | | | - Wei Li
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xuewen Xu
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
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Zhang N, Liu X, Wang L, Zhang Y, Xiang Y, Cai J, Xu H, Xiao X, Zhao X. Lifestyle factors and their relative contributions to longitudinal progression of cardio-renal-metabolic multimorbidity: a prospective cohort study. Cardiovasc Diabetol 2024; 23:265. [PMID: 39026309 PMCID: PMC11264843 DOI: 10.1186/s12933-024-02347-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 07/01/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND The role of lifestyle factors and their relative contributions to the development and mortality of cardio-renal-metabolic multimorbidity (CRMM) remains unclear. METHODS A study was conducted with 357,554 UK Biobank participants. CRMM was defined as the coexistence of two or three cardio-renal-metabolic diseases (CRMDs), including cardiovascular disease (CVD), type 2 diabetes (T2D) and chronic kidney disease (CKD). The prospective study examined the associations of individual and combined lifestyle scores (diet, alcohol consumption, smoking, physical activity, sedentary behavior, sleep duration and social connection) with longitudinal progression from healthy to first cardio-renal-metabolic disease (FCRMD), then to CRMM, and ultimately to death, using a multistate model. Subsequently, quantile G-computation was employed to assess the relative contribution of each lifestyle factor. RESULTS During a median follow-up of 13.62 years, lifestyle played crucial role in all transitions from healthy to FCRMD, then to CRMM, and ultimately to death. The hazard ratios (95% CIs) per score increase were 0.91 (0.90, 0.91) and 0.90 (0.89, 0.91) for healthy to FCRMD, and for FCRMD to CRMM, and 0.84 (0.83, 0.86), 0.87 (0.86, 0.89), and 0.90 (0.88, 0.93) for mortality risk from healthy, FCRMD, and CRMM, respectively. Among the seven factors, smoking status contributed to high proportions for the whole disease progression, accounting for 19.88-38.10%. High-risk diet contributed the largest proportion to the risk of transition from FCRMD to CRMM, with 22.53%. Less-frequent social connection contributed the largest proportion to the risk of transition from FCRMD to death, with 28.81%. When we further consider the disease-specific transitions, we find that lifestyle scores had slightly stronger associations with development to T2D than to CVD or CKD. CONCLUSIONS Our study indicates that a healthy lifestyle may have a protective effect throughout the longitudinal progression of CRMM, informing more effective management and treatment. Smoking status, diet, and social connection played pivotal roles in specific disease transitions.
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Affiliation(s)
- Ning Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiang Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Lele Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuan Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Yi Xiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiajie Cai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Hao Xu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Chinese Academy of Medical Sciences , Sichuan University, Chengdu, 610041, China
| | - Xiong Xiao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
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Zhang S, Jiang Z, Zhang H, Liu Y, Qi J, Yan Y, Wang T, Zeng P. Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank. BMC Public Health 2024; 24:1910. [PMID: 39014423 PMCID: PMC11253396 DOI: 10.1186/s12889-024-19457-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 07/11/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND To investigate the association between cigarette smoking, smoking cessation and the trajectory of cardiometabolic multimorbidity (CMM), and further to examine the association of age at smoking initiation and smoking cessation with CMM. METHODS This study included 298,984 UK Biobank participants without cardiometabolic diseases (CMDs) (including type 2 diabetes, coronary heart diseases, stroke, and hypertension) at baseline. Smoking status was categorized into former, current, and never smokers, with age at smoking initiation and smoking cessation as a proxy for current and former smokers. The multi-state model was performed to evaluate the association between cigarette smoking, smoking cessation and CMM. RESULTS During a median follow-up of 13.2 years, 59,193 participants developed first cardiometabolic disease (FCMD), 14,090 further developed CMM, and 16,487 died. Compared to former smokers, current smokers had higher risk at all transitions, with hazard ratio (95% confidence interval) = 1.59 (1.55 ∼ 1.63) vs. 1.18 (1.16 ∼ 1.21) (P = 1.48 × 10- 118) from health to FCMD, 1.40 (1.33 ∼ 1.47) vs. 1.09 (1.05 ∼ 1.14) (P = 1.50 × 10- 18) from FCMD to CMM, and 2.87 (2.72 ∼ 3.03) vs. 1.38 (1.32 ∼ 1.45) (P < 0.001) from health, 2.16 (1.98 ∼ 2.35) vs. 1.25 (1.16 ∼ 1.34) (P = 1.18 × 10- 46) from FCMD, 2.02 (1.79 ∼ 2.28) vs. 1.22 (1.09 ∼ 1.35) (P = 3.93 × 10- 17) from CMM to death; whereas quitting smoking reduced the risk attributed to cigarette smoking by approximately 76.5% across all transitions. Reduced risks of smoking cessation were also identified when age at quitting smoking was used as a proxy for former smokers. CONCLUSIONS Cigarette smoking was associated with a higher risk of CMM across all transitions; however, smoking cessation, especially before the age of 35, was associated with a significant decrease in CMM risk attributed to cigarette smoking.
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Affiliation(s)
- Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Zhou Jiang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Hao Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yuxin Liu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Jike Qi
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yu Yan
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
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Li J, Sun Y, Yu B, Cai L, Shen W, Wang B, Tan X, Guo Y, Wang N, Lu Y. Association patterns of ketone bodies with the risk of adverse outcomes according to diabetes status. Diabetes Obes Metab 2024. [PMID: 39010294 DOI: 10.1111/dom.15782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/17/2024]
Abstract
AIM To investigate the associations between ketone bodies (KB) and multiple adverse outcomes including cardiovascular disease (CVD), chronic kidney disease (CKD) and all-cause mortality according to diabetes status. METHODS This prospective study included 222 824 participants free from CVD and CKD at baseline from the UK Biobank. Total KB including β-hydroxybutyrate, acetoacetate and acetone were measured by nuclear magnetic resonance. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between KB and adverse outcomes among participants with normoglycaemia, prediabetes and type 2 diabetes, respectively. RESULTS During a mean follow-up of 14.1 years, 24 088 incident CVD events (including 17 303 coronary heart disease events, 5172 stroke events and 5881 heart failure [HF] events), 8605 CKD events and 15 813 deaths, were documented. Higher total KB significantly increased the risk of HF among participants with normoglycaemia (HR, 1.32 [95% CI, 1.17-1.49], per 10-fold increase in total KB) and prediabetes (1.35 [1.04-1.76]), and increased the risk of CKD among those with normoglycaemia (1.20 [1.09-1.33]). Elevated KB levels were associated with an increased risk of all-cause mortality across the glycaemic spectrum (1.32 [1.23-1.42] for normoglycaemia, 1.45 [1.24-1.71] for prediabetes and 1.47 [1.11-1.94] for diabetes). Moreover, a significant additive interaction between KB and diabetes status was observed on the risk of death (P = .009), with 4.9% of deaths attributed to the interactive effects. CONCLUSIONS Our study underscored the variation in association patterns between KB and adverse outcomes according to diabetes status and suggested that KB could interact with diabetes status in an additive manner to increase the risk of mortality.
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Affiliation(s)
- Jiang Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bowei Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingli Cai
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenqi Shen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Tan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuyu Guo
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Han K, Wang T, Zou C, Li T, Zhou L. The associations between the Geriatric Nutritional Risk Index and all-cause, cancer-specific, and cardiovascular mortality in the U.S. population: a large-scale pooled survey. Nutr Metab (Lond) 2024; 21:48. [PMID: 38997737 PMCID: PMC11245820 DOI: 10.1186/s12986-024-00827-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 07/08/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND Previous studies have reported a close association between the Geriatric Nutritional Risk Index (GNRI) and various conditions. However, the association between the GNRI and mortality remains unclear. To examine the correlation between the GNRI and all-cause, cancer-specific, and cardiovascular mortality, this study was performed. METHODS We analyzed elderly participants in the National Health and Nutrition Examination Survey from 2005 to 2016. The GNRI was calculated using body mass index and serum albumin. Kaplan-Meier survival curves were drawn to compare the survival probability between the normal and decreased GNRI groups. Weighted multivariate Cox regression and restricted cubic spline (RCS) models were employed to determine the linear and non-linear associations of the GNRI with all-cause, cancer-specific, and cardiovascular mortality. RESULTS A total of 3,276 participants were included in the analysis. The Kaplan-Meier survival curve showed that the decreased GNRI group had a lower survival probability for all-cause mortality and cancer-specific mortality (P < 0.001) but not for cardiovascular mortality (P > 0.05). In the full regression models, the decreased group had a higher risk of all-cause mortality (HR = 1.67, 95% CI = 1.21-2.30, P = 0.002), and cancer-specific mortality (HR = 2.20, 95% CI = 1.32-3.67, P = 0.003) than the normal group. For cardiovascular mortality, no significant association with GNRI (HR = 1.39, 95% CI = 0.60-3.22, P = 0.436) was detected. Notably, the RCS analysis identified a linear downward trend between the GNRI and all-cause, alongside cancer-specific mortalities (all P for overall < 0.05). The time-dependent Receiver Operating Characteristic (ROC) analysis unveiled the predictive power of the GNRI for 5-year all-cause mortality, cancer mortality, and cardiovascular mortality was 0.754, 0.757, and 0.836, respectively, after adjusting for covariates. CONCLUSIONS Individuals with a decreased GNRI had increased risks of all-cause, and cancer-specific mortality. There were linear associations of the GNRI with all-cause, and cancer-specific mortality. Nutritional status should be carefully monitored, which may improve the overall prognosis for the general population.
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Affiliation(s)
- Kun Han
- Department of Anesthesiology, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Chengdu, 610041, China
| | - Tianhong Wang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Congcong Zou
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Tao Li
- Department of Anesthesiology, Laboratory of Mitochondria and Metabolism, West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Leng Zhou
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Marruganti C, Luthra S, Hussain SB, Suvan J, D'Aiuto F. Healthy lifestyles and better periodontal health: Results from two large population-based surveys. J Periodontal Res 2024. [PMID: 38953498 DOI: 10.1111/jre.13320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/10/2024] [Accepted: 06/20/2024] [Indexed: 07/04/2024]
Abstract
AIM To ascertain whether healthy lifestyles are associated with periodontal diseases in two large-scale surveys in the US (National Health and Nutrition Examination Survey - NHANES) and the UK Biobank. METHODS 9854 US adults and 111 679 UK adults were included in the analyses. A healthy lifestyle score (HLS), ranging between 0 and 5, was calculated based on the reported number of healthy behaviours, including never smoking, no heavy alcohol consumption, top third of leisure-time physical activity, higher dietary quality, and ideal sleep duration. The prevalence of periodontal diseases was the primary outcome in both surveys. In the NHANES, periodontal status was assessed through a full-mouth periodontal examination, while in the UKB, only self-reported periodontal status was available. RESULTS Multiple regression analyses confirmed that the presence of at least 2-3 healthy behaviours (vs. 0-1) was associated with lower odds of overall and severe periodontitis (ORs 0.5, 0.4-0.6; p < .001 and 0.5, 0.3-0.8; p = .003, respectively) in the NHANES, and of bleeding gums (OR = 0.9, 0.8-1.0; p = .092) and loose teeth (OR = 0.6, 0.5-0.7; p < .001) in UKB. This association increased when considering prevalence of 4-5 healthy behaviours (vs. 0-1) in both the NHANES (periodontitis: OR = 0.3, 0.2-0.4; p < .001; severe periodontitis: OR = 0.1, 0.01-0.2; p < .001) and the UKB (bleeding gums: OR = 0.8, 0.7-0.9; p < .001; loose teeth: OR = 0.5, 0.4-0.6; p < .001). Mediation analyses revealed how these protective associations could be partially mediated (1-14%) by differences in biomarkers of systemic inflammation (white blood cells and neutrophils count as well as C-reactive protein). CONCLUSIONS Adoption of healthy lifestyle behaviours is associated with a lower prevalence of periodontal diseases within two large population-based samples. This relationship exhibits a dose-response pattern, implying that greater adherence to healthy habits leads to a more significant protective effect against the odds of periodontal diseases. Additionally, our findings suggest that this protective effect is, in part, mediated by reductions in systemic inflammation.
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Affiliation(s)
- Crystal Marruganti
- Periodontology Unit, Eastman Dental Institute, University College London, London, UK
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Shailly Luthra
- Periodontology Unit, Eastman Dental Institute, University College London, London, UK
| | - Syed Basit Hussain
- Periodontology Unit, Eastman Dental Institute, University College London, London, UK
| | - Jeanie Suvan
- University of Glasgow Dental School, Glasgow, UK
| | - Francesco D'Aiuto
- Periodontology Unit, Eastman Dental Institute, University College London, London, UK
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Qu Y, Zhang G, Wu Z, Luo H, Chen R, Jia H, Sun X. Associations of Socioeconomic Status Inequity with Incident Age-related Macular Degeneration in Middle-Aged and Elderly Population. HEALTH DATA SCIENCE 2024; 4:0148. [PMID: 38952896 PMCID: PMC11214909 DOI: 10.34133/hds.0148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/14/2024] [Indexed: 07/03/2024]
Abstract
Background: The relationship between socioeconomic status (SES) inequity and incident age-related macular degeneration (AMD) remains unclear. We aim to investigate whether low SES increases the risk of AMD and to explore the effect of a healthy lifestyle on this association. Methods: This prospective cohort study included 316,663 UK Biobank individuals. SES inequity was identified via latent class analysis using education, household income, and occupational status. Healthy lifestyle score was calculated based on smoking, alcohol drinking, and physical activity (PA). Incident AMD was defined according to diagnosis records. Cox proportional hazards models were used to evaluate the relationship of low SES and AMD. Interrelationships of healthy lifestyle score on SES-AMD association were explored, including modification, mediation, and joint effects. Results: During the average 12.2 years of follow-up, 6,355 AMD cases were diagnosed. Participants with medium SES (hazard ratio: 1.10 [95% confidence interval (CI) 1.01 to 1.21]) and low SES (hazard ratio: 1.22 [95% CI 1.11 to 1.34]) had an increased risk of incident AMD compared to participants with high SES. PA significantly affected this association. Moreover, the association between low SES and AMD was significantly mediated (11.3%, 95% CI: 6.56 to 23.0) by smoking. Similarly, alcohol drinking suppressed (9.59%, 95% CI: 4.00 to 23.2) the association between high SES and AMD. Besides, a significant joint effect of SES and healthy lifestyle score was found. Conclusions: We provide further evidence for the relationship of socioeconomic inequity, healthy lifestyle, and incident AMD. Future public health strategies should aim to reduce socioeconomic inequity to prevent AMD.
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Affiliation(s)
- Yanlin Qu
- Department of Ophthalmology, Shanghai General Hospital,
Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
| | - Guanran Zhang
- Department of Ophthalmology, Shanghai General Hospital,
Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
| | - Zhenyu Wu
- School of Public Health,
Fudan University, Shanghai, China
| | - Huihuan Luo
- School of Public Health,
Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health,
Fudan University, Shanghai, China
| | - Huixun Jia
- Department of Ophthalmology, Shanghai General Hospital,
Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
- School of Public Health,
Fudan University, Shanghai, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital,
Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
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Aravena JM, Chen X, Levy BR. Association between experiencing low healthcare quality and developing dementia. J Am Geriatr Soc 2024; 72:2126-2132. [PMID: 38415796 PMCID: PMC11226361 DOI: 10.1111/jgs.18842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 01/12/2024] [Accepted: 02/08/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Low healthcare quality has been found to predict the development of a number of illnesses in older adults. However, it has not been investigated as a determinant of dementia. Thus, the goal of this study was to assess whether experiencing low healthcare quality is associated with developing dementia in people aged 60 and older. METHODS Participants in the Health and Retirement Study, without dementia and aged 60 and older at baseline, were followed from 2006 to 2019. Experiencing low healthcare quality was assessed at baseline through questions about healthcare discrimination and dissatisfaction with healthcare services. The outcome, development of new cases of dementia, was determined through physician diagnosis or a cognition score compatible with dementia (assessed by the Telephone Interview for Cognitive Status). Cox regression was used to estimate the hazard ratio (HR) of dementia, adjusting for participants' demographic, health, and socioeconomic factors. RESULTS Among the 3795 participants included in the cohort, 700 developed dementia. Experiencing low healthcare quality was associated with increased dementia risk over 12 years (unadjusted HR: 1.68, 95% CI: 1.27-2.21, p-value <0.001; fully adjusted HR: 1.50, 95% CI: 1.12-2.01, p-value: 0.006). Healthcare discrimination and dissatisfaction with the healthcare quality received were independently associated with increased dementia risk. CONCLUSIONS As predicted, experiencing low healthcare quality was associated with greater dementia risk. To date, most measures to reduce dementia have focused on individual-level behaviors. Our findings suggest that implementing structural changes to improve healthcare quality delivery for older persons could reduce dementia prevalence.
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Affiliation(s)
- José M. Aravena
- Department of Social & Behavioral Sciences, School of Public Health, Yale University, New Haven, CT, 06510, USA
- Instituto de Investigación y Postgrado, Facultad de Ciencias de la Salud, Universidad Central de Chile, Santiago, Chile
| | - Xi Chen
- Department of Health Policy and Management, School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Becca R. Levy
- Department of Social & Behavioral Sciences, School of Public Health, Yale University, New Haven, CT, 06510, USA
- Department of Psychology, Yale University, New Haven, CT, 06510, USA
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Akgöz AD, Gözüm S. Effects of the Omaha System- and HeartScore®-Based Impaired-Risk Perception Reduction Program on the Risk Perception of Individuals Aged 50-65 Years: A One-Group Pre-Test-Post-Test Study. Am J Health Promot 2024; 38:825-838. [PMID: 38384170 DOI: 10.1177/08901171241235733] [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] [Indexed: 02/23/2024]
Abstract
PURPOSE This study evaluates the impact of interventions in the Omaha System and HeartScore®-based program to reduce impaired-risk perception. DESIGN and setting: This study utilized a one-group pre-test-post-test design. SUBJECTS The program was conducted among participants aged over 50 years from different social settings. INTERVENTION The program had three parts: a briefing on HeartScore® recommendations, Omaha System interventions, and referral to a doctor. MEASURES HeartScore® determined cardiovascular disease (CVD) risk, body mass index (BMI) was calculated from height and weight, and the International PA Questionnaire evaluated physical activity (PA) levels. Self-assessment was used to perceived CVD risk, BMI, and PA. ANALYSIS We used the Wilcoxon signed-rank test to compare the pre-test and post-test scores of the Omaha System, the problem rating scale (PRS) subscales and McNemar test to measure changes in CVD risk perception, BMI, and PA level. RESULTS 310 high-risk individuals out of 522 had impaired perception of their CVD risk. Only 201 responded to follow-up phone calls. Interventions based on HeartScore® and Omaha System improved CVD risk and PA perceptions (P < .001) but not BMI. The program significantly increased knowledge, status, and behavior scores (P < .001). After participating, 39% saw a cardiologist, and 57.2% saw a family physician within six months to reduce impaired risk perception. CVD risk perception increased to the actual level after the intervention, mostly in the group with low education level. CONCLUSIONS The program using the Omaha System and HeartScore® can help middle-aged individuals better understand their risk of cardiovascular disease.
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Affiliation(s)
- Ayşe Dağıstan Akgöz
- Department of Public Health Nursing, Faculty of Nursing, Akdeniz University, Antalya, Turkey
| | - Sebahat Gözüm
- Department of Public Health Nursing, Faculty of Nursing, Akdeniz University, Antalya, Turkey
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Gou R, Dou D, Tian M, Chang X, Zhao Y, Meng X, Li G. Association between triglyceride glucose index and hyperuricemia: a new evidence from China and the United States. Front Endocrinol (Lausanne) 2024; 15:1403858. [PMID: 39010899 PMCID: PMC11246899 DOI: 10.3389/fendo.2024.1403858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 06/14/2024] [Indexed: 07/17/2024] Open
Abstract
Background Hyperuricemia (HUA) is a glo\bal public health problem. The etiology of HUA is complex and efficient and accurate assessment metrics are still lacking when conducting large-scale epidemiologic screening. The aim of this study was to evaluate the association of the triglyceride glucose (TyG) index, TyG-body mass index (BMI), TyG-waist-to-height ratio (WHtR) with the risk of HUA. Methods Based on data collected from the National Health and Nutrition Examination Survey (NHANES) in the United States and the China Health and Aging Longitudinal Study (CHARLS) in China, a total of 14,286 U.S. adults and 4,620 Chinese adults were included in the analysis. The study examined the levels of TyG, TyG-BMI, TyG-WHtR, and TyG-WC. Multivariate logistic regression was utilized to investigate the relationships between these variables and hyperuricemia (HUA), separately. Additionally, the study used restricted cubic splines (RCS) to explore the linear associations of TyG, TyG-BMI, TyG-WHtR, TyG-WC, and HUA, separately. Results The NHANES results showed that TyG [Q2, 1.58(1.26, 1.98); Q3, 2.36 (1.94, 2.88); Q4, 3.21 (2.61, 3.94)], TyG-BMI [Q2, 2.14 (1.74, 2.65); Q3, 3.38 (2.74, 4.17); Q4, 6.70 (5.55, 8.02)], TyG-WHtR [Q2, 1.92 (1.56, 2.36); Q3, 3.14 (2.56, 3.85); Q4, 6.28 (5.12, 7.69)], TyG-WC [Q2, 2.32 (1.85, 2.90); Q3, 3.51 (2.84, 4.34); Q4, 7.32 (5.95, 9.02)] were identified as risk factors for hyperuricemia (HUA). Similarly, the CHARLS results, when fully adjusted for covariates, indicated that TyG [Q4, 2.36 (1.08, 5.15)], TyG-BMI [Q3, 2.60 (1.05, 6.41); Q4, 3.70 (1.64, 8.32)], TyG-WHtR (Q4, 2.84 (1.23, 6.55), TyG-WC [Q4, 2.85 (1.23, 6.5)] were also risk factors for HUA. The predictive ability of each indicator for the risk of developing HUA was stronger in women than in men. Furthermore, there was an observed nonlinear relationship between TyG, TyG-BMI, TyG-WHtR, TyG-WC, and HUA in both the NHANES and CHARLS datasets (P-nonlinearity < 0.05). Conclusion These findings suggest that TyG, TyG-BMI, TyG-WHtR and TyG-WC are associated with an increased risk of HUA. They are potential indicators for screening HUA status in the general population in China and the United States.
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Affiliation(s)
- Ruoyu Gou
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Danni Dou
- School of Basic Medicine, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Mi Tian
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Xiaoyu Chang
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Yonggang Zhao
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Xin Meng
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Guanghua Li
- School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
- School of Basic Medicine, Ningxia Medical University, Yinchuan, Ningxia, China
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Yu J, Pu F, Yang G, Hao M, Zhang H, Zhang J, Cao X, Zhu L, Wan Y, Wang X, Liu Z. Sex-Specific Association Between Childhood Adversity and Accelerated Biological Aging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309346. [PMID: 38704685 PMCID: PMC11234451 DOI: 10.1002/advs.202309346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/19/2024] [Indexed: 05/07/2024]
Abstract
Is childhood adversity associated with biological aging, and if so, does sex modify the association, and do lifestyle and mental health mediate the association? A lifespan analysis is conducted using data on 142 872 participants from the UK Biobank to address these questions. Childhood adversity is assessed through the online mental health questionnaire (2016), including physical neglect, physical abuse, emotional neglect, emotional abuse, sexual abuse, and a cumulative score. Biological aging is indicated by telomere length (TL) measured from leukocyte DNA using qPCR, and the shorter TL indicates accelerated biological aging; a lifestyle score is constructed using body mass index, physical activity, drinking, smoking, and diet; mental disorder is assessed using depression, anxiety, and insomnia at the baseline survey. The results reveal a sex-specific association such that childhood adversity is associated with shorter TL in women after adjusting for covariates including polygenic risk score for TL, but not in men. Unhealthy lifestyle and mental disorder partially mediate the association in women. The proportions of indirect effects are largest for sexual and physical abuse. These findings highlight the importance of behavioral and psychological interventions in promoting healthy aging among women who experienced childhood adversity, particularly sexual and physical abuse.
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Affiliation(s)
- Jie Yu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Fan Pu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Gan Yang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Meng Hao
- Human Phenome Institute and State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Hui Zhang
- Human Phenome Institute and State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Fudan University, Shanghai, 200433, China
- National Clinical Research Center for Ageing and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China
| | - Jingyun Zhang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Lijun Zhu
- Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Yuhui Wan
- MOE Key Laboratory of Population Health across Life Cycle/Anhui Provincial Key Laboratory of Population Health and Aristogenics, and Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Xiaofeng Wang
- Human Phenome Institute and State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Fudan University, Shanghai, 200433, China
- National Clinical Research Center for Ageing and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
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Xie C, Yang S, Li Y, Zhang M, Xu Q, Wan Z, Song L, Lv Y, Luo D, Li Q, Wang Y, Chen H, Mei S. Associations of exposure to organochlorine pesticides and polychlorinated biphenyls with chronic kidney disease among adults: the modifying effects of lifestyle. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:45192-45203. [PMID: 38961018 DOI: 10.1007/s11356-024-34201-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 06/27/2024] [Indexed: 07/05/2024]
Abstract
Exposure to organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) has been reported to be associated with renal impairment and chronic kidney disease (CKD). Nevertheless, the research results thus far have exhibited inconsistency, and the effect of lifestyle on their association is not clear. In this study, we assessed the correlation between serum OCPs/PCBs and CKD and renal function indicators including estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) among 1721 Chinese adults. In order to further investigate the potential impact of lifestyle, we conducted joint associations of lifestyle and OCPs/PCBs on CKD. We found a negative correlation between p,p'-DDE and eGFR, while logistic regression results showed a positive correlation between PCB-153 and CKD (OR, 1.92; 95% CI, 1.21, 3.06). Quantile g-computation regression analyses showed that the association between co-exposure to OCPs/PCBs and CKD was not significant, but p,p'-DDE and PCB-153 were the main contributors to the negative and positive co-exposure effects of eGFR and CKD, respectively, which is consistent with the regression results. Participants with both relatively high PCB-153 exposure and an unhealthy lifestyle had the highest risk of CKD, in the joint association analysis. The observed associations were generally supported by the FAS-eGFR method. Our research findings suggest that exposure to OCPs/PCBs may be associated with decreased eGFR and increased prevalence of CKD in humans, and a healthy lifestyle can to some extent alleviate the adverse association between PCB-153 exposure and CKD.
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Affiliation(s)
- Chang Xie
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Sijie Yang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yaping Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Mingye Zhang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Qitong Xu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Zhengce Wan
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yongman Lv
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Luo
- Analytical Application Center, Shimadzu (China) Co., LTD., Wuhan Branch, No 96 Linjiang Avenue, Wuhan, 430060, China
| | - Qiang Li
- Analytical Application Center, Shimadzu (China) Co., LTD., Wuhan Branch, No 96 Linjiang Avenue, Wuhan, 430060, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hui Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Surong Mei
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China.
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Mulry E, Grover N. Socioeconomic determinants of moderate and severe obstructive sleep apnea in children: A pre and post COVID analysis. Int J Pediatr Otorhinolaryngol 2024; 182:112002. [PMID: 38850596 DOI: 10.1016/j.ijporl.2024.112002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/29/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
INTRODUCTION COVID-19 has disproportionately affected healthcare access of certain minority groups, and thus could contribute to delay in timely evaluation and management of pediatric obstructive sleep apnea (OSA). Socioeconomic status (SES) is known to affect healthcare access in pediatric otolaryngology and may also be a risk factor for OSA and its associated co-morbidities. OBJECTIVES Our primary objective is to determine the impact of COVID-19 on time to diagnosis (TTD) and time to treatment (TTT) of polysomnography (PSG)-proven moderate to severe pediatric OSA in different socioeconomic classes. Secondary objectives include determining the impact of racial and demographic factors on TTD and TTT. METHODS This is a retrospective chart review of 120 children; 60 children pre-COVID (February 2018 to February 2020), and 60 children post-COVID onset (March 2020 to March 2022). This study was performed at a pediatric teaching hospital and tertiary referral center, and involved children aged 3-17 years old with outpatient PSG-proven moderate to severe OSA. Approval was obtained from our hospital's institutional review board (IRB). RESULTS There were a total of 120 children, 60 in each group. The average age was 9.5 years old; females constituted 41.6 % of the sample. TTD increased from 53.7 days pre-covid to 103 days post-COVID onset in all children (p = 0.00), 42.5 days-151.9 days in white children (p = 0.00), 38 days-142.7 days in children with high SES (p = 0.00), 32.1 days-146.5 days in children with private insurance (p = 0.00), and 65.7 days-105.8 days in children with public insurance (p = 0.04). TTT did not change significantly. CONCLUSION Our results show that TTD of OSA and obesity in advantaged groups were affected to a greater degree than disadvantaged groups. This suggests children of all socioeconomic groups are susceptible to healthcare disparities and the COVID-19 pandemic has uncovered the vulnerability of such populations. Policymakers should consider providing more funding and support for all children, including continued funding for those with lower SES.
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Affiliation(s)
- Erin Mulry
- University of Connecticut School of Medicine, Department of Surgery, Division of Otolaryngology Head and Neck Surgery, 263 Farmington Avenue, Farmington, CT, 06030, USA.
| | - Nancy Grover
- Connecticut Children's, Department of Pediatric Otolaryngology, 282 Washington St Hartford, CT, 06106, USA.
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Liu L, Wen W, Shrubsole MJ, Lipworth LE, Mumma MT, Ackerly BA, Shu XO, Blot WJ, Zheng W. Impacts of Poverty and Lifestyles on Mortality: A Cohort Study in Predominantly Low-Income Americans. Am J Prev Med 2024; 67:15-23. [PMID: 38417593 PMCID: PMC11312224 DOI: 10.1016/j.amepre.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/01/2024]
Abstract
INTRODUCTION Low socioeconomic status has been linked to increased mortality. However, the impacts of poverty, alone or combined with health behaviors, on mortality and life expectancy have not been adequately investigated. METHODS Data from the Southern Community Cohort Study was used, including nearly 86,000 participants recruited during 2002-2009 across 12 US southeastern states. Analysis was conducted from February 2022 to January 2023. RESULTS During a median follow-up of 12.1 years, 19,749 deaths were identified. A strong dose-response relationship was found between household incomes and mortality, with a 3.3-fold (95%CI=3.1-3.6) increased all-cause mortality observed for individuals in the lowest income group (<$15,000/year) compared with those in the highest group (≥$50,000/year). Within each income group, mortality monotonically increased with declining healthy lifestyle score. Risk was significantly lower among those in the lowest income but healthiest lifestyle group, compared to those with the highest income but unhealthiest lifestyle (HR=0.82, 95%CI=0.69-0.97). Poor White participants appeared to experience higher all-cause mortality than poor Black participants. Life expectancy was more than 10.0 years shorter for those in the lowest income group compared with those in the highest income group. CONCLUSIONS Poverty is strongly associated with increased risk of death, but the risks could be modestly abated by a healthier lifestyle. These findings call for a comprehensive strategy for enhancing a healthy lifestyle and improving income equality to reduce death risks, particularly among those experiencing health disparities due to poverty.
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Affiliation(s)
- Lili Liu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Martha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Loren E Lipworth
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Michael T Mumma
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Brooke A Ackerly
- Department of Political Science, Vanderbilt University, Nashville, Tennessee
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
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Xu Q, Xie C, Yang S, Li Y, Zhang M, Wan Z, Song L, Lv Y, Chen H, Wang Y, Mei S. Association between organophosphate esters individual and mixed exposure with the risk of hyperlipidemia and serum lipid levels among adults in Wuhan, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:48629-48640. [PMID: 39037626 DOI: 10.1007/s11356-024-34411-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 07/14/2024] [Indexed: 07/23/2024]
Abstract
Toxicologic studies reported that organophosphate esters (OPEs) may disrupt lipid metabolism, thus affecting serum lipid levels. However, epidemiological evidence regarding the association between OPEs and the risk of hyperlipidemia (HPL) as well as serum lipid levels is scarce. In the present study, our aim was to investigate the impact of individual and mixed OPE exposure on HPL. A total of 1981 Chinese adults were involved based on a cross-sectional design. Overall, we found a positive association between bis(1,3-dichloro-2-propyl) phosphate (BDCIPP) and the risk of HPL. Bis(1-chloro-2-propyl) phosphate (BCIPHIPP) showed a positive association with total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C). BDCIPP, diphenyl phosphate (DPHP), di-ocresyl phosphate and di-p-cresyl phosphate (Docp&Dpcp), and 4-hydroxyphenyl-diphenyl phosphate (4-OH-DPHP) exhibited a negative association with high-density lipoprotein cholesterol (HDL-C). In stratified analyses, BDCIPP and BCIPHIPP were significantly correlated with the increased risk of HPL in the age ≤ 45 group. Bis(2-butoxyethyl) phosphate (BBOEP) was in relationship with an elevated risk of HPL in the subgroup of BMI < 24 kg/m2. BDCIPP was also positively associated with HPL in men. Quantile-based g computation (qgcomp) and generalized weighted quantile sum regression (gWQS) models demonstrated a negative association between OPEs mixed exposure and HDL-c in the total population, as well as a positive effect of them on HPL in the subgroup of age ≤ 45 years, which is consistent with the individual analyses. Furthermore, joint effect analyses revealed that participants with detected BDCIPP urinary levels and unhealthy lifestyles had the highest risk of HPL. Our findings offer evidence supporting the correlation between exposure to OPE and the risk of HPL, necessitating further prospective studies for validation.
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Affiliation(s)
- Qitong Xu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Chang Xie
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Sijie Yang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yaping Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Mingye Zhang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Zhengce Wan
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yongman Lv
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hui Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Surong Mei
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China.
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Huang Y, Xu J, Yang Y, Wan T, Wang H, Li X. Association between Lifestyle Modification and All-Cause, Cardiovascular, and Premature Mortality in Individuals with Non-Alcoholic Fatty Liver Disease. Nutrients 2024; 16:2063. [PMID: 38999812 PMCID: PMC11243540 DOI: 10.3390/nu16132063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/24/2024] [Accepted: 06/26/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND This study is designed to explore the correlation between multiple healthy lifestyles within the framework of "lifestyle medicine", and the mortality risk of nonalcoholic fatty liver disease (NAFLD). METHODS The National Health and Nutrition Examination Survey (NHANES) database was employed. The analysis consisted of 5542 participants with baseline NAFLD and 5542 matched non-NAFLD participants from the database. Lifestyle information, including five low risk factors advocated by lifestyle medicine (healthy diet, vigorous physical activity, healthy sleep duration, avoiding smoking, and maintaining a non-depressed psychological status), was collected through a baseline questionnaire. Cox proportional hazards regression models and Kaplan-Meier survival curve were used to evaluate risk of mortality. In addition, subgroups were analyzed according to gender, age, body mass index and waist circumference. RESULTS In total, 502 deaths (n = 181 deaths from cardiovascular disease (CVD)) were recorded among NAFLD participants after the median follow up duration of 6.5 years. In the multivariate-adjusted model, compared to participants with an unfavorable lifestyle (scoring 0-1), NAFLD participants with a favorable lifestyle (scoring 4-5) experienced a 56% reduction in all-cause mortality and a 66% reduction in CVD mortality. Maintaining an undepressed psychological state and adhering to vigorous exercise significantly reduced CVD mortality risk in NAFLD participants (HR, 0.64 [95% CI, 0.43-0.95]; HR, 0.54 [95% CI, 0.33-0.88]) while maintaining healthy sleep reduced premature mortality due to CVD by 31%. CONCLUSIONS Healthy lifestyle, characterized by maintaining an undepressed mental state and healthy sleep, significantly mitigates the risk of all-cause, CVD, and premature mortality risk among NAFLD patients, with a particularly pronounced effect observed in female and obese subpopulations.
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Affiliation(s)
| | | | | | | | - Hui Wang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.H.); (J.X.); (Y.Y.); (T.W.)
| | - Xiaoguang Li
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.H.); (J.X.); (Y.Y.); (T.W.)
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Qiu J, Huang X, Kuang M, Yang R, Li J, Sheng G, Zou Y. Lipoprotein Combine Index as a Better Marker for NAFLD Identification Than Traditional Lipid Parameters. Diabetes Metab Syndr Obes 2024; 17:2583-2595. [PMID: 38946912 PMCID: PMC11214567 DOI: 10.2147/dmso.s462181] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 06/20/2024] [Indexed: 07/02/2024] Open
Abstract
Purpose The association between traditional lipid parameters and non-alcoholic fatty liver disease (NAFLD) has been extensively discussed. This study aims to evaluate and compare the lipoprotein combine index (LCI) and traditional lipid parameters [total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] to identify NAFLD. Patients and Methods The analysis included 14,251 participants from the NAfld in the Gifu Area, Longitudinal Analysis (NAGALA). Logistic regression models were employed to calculate standardized odds ratios (ORs) and 95% confidence intervals (CIs) for assessing and comparing the association of LCI and traditional lipid parameters with NAFLD. Additionally, receiver operating characteristic (ROC) curves were used to calculate the area under the curve (AUC) for LCI and traditional lipid parameters in identifying NAFLD. Results After adjusting for various confounders, we found that LCI was positively associated with NAFLD (OR=2.25, 95% CI 1.92-2.63), and this association was stronger than that of traditional lipid parameters [OR: TC1.23, TG1.73 LDL-C1.10]. Further subgroup analyses revealed that the association of LCI with NAFLD was stronger than other traditional lipid parameters in all subgroups, including men and women, overweight/obese [body mass index (BMI)≥25 kg/m2] and non-obese (BMI<25 kg/m2), and older (age≥45 years) and younger (age<45 years) participants. Additionally, ROC analysis indicated that LCI (AUC=0.8118) had significantly higher accuracy (All DeLong P<0.05) in identifying NAFLD compared to traditional lipid parameters (AUC: TC0.6309; TG0.7969; LDL-C0.6941); HDL-C0.7587). Sensitivity analysis further confirmed the robustness of the study findings. Conclusion This study revealed for the first time a positive correlation between LCI and NAFLD. Compared to traditional lipid parameters, LCI has a higher correlation with NAFLD. Additionally, further ROC analysis demonstrated that LCI had higher accuracy in identifying NAFLD compared to traditional lipid parameters, suggesting that LCI may be a better marker for NAFLD identification than traditional lipid parameters.
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Affiliation(s)
- Jiajun Qiu
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, People’s Republic of China
| | - Xin Huang
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, People’s Republic of China
| | - Maobin Kuang
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, People’s Republic of China
| | - Ruijuan Yang
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
- Department of Endocrinology, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, People’s Republic of China
| | - Jiachong Li
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Provincial Geriatric Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, People’s Republic of China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi Province, People’s Republic of China
- Jiangxi Cardiovascular Research Institute, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, People’s Republic of China
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Pu L, Zhu Y, Shi X, Wang H, Pan D, He X, Zhang X, Wang L, Liu X, He S, Sun X, Li J. Health impacts of lifestyle and ambient air pollution patterns on all-cause mortality: a UK Biobank cohort study. BMC Public Health 2024; 24:1696. [PMID: 38918768 PMCID: PMC11202323 DOI: 10.1186/s12889-024-19183-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 06/18/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Extensive evidence indicates that both lifestyle factors and air pollution are strongly associated with all-cause mortality. However, little studies in this field have integrated these two factors in order to examine their relationship with mortality and explore potential interactions. METHODS A cohort of 271,075 participants from the UK Biobank underwent analysis. Lifestyles in terms of five modifiable factors, namely smoking, alcohol consumption, physical activity, diet, and sleep quality, were classified as unhealthy (0-1 score), general (2-3 score), and healthy (4-5 score). Air pollution, including particle matter with a diameter ≤ 2.5 μm (PM2.5), particulate matter with a diameter ≤ 10 μm (PM10), particulate matter with a diameter 2.5-10 μm (PM2.5-10), nitrogen dioxide (NO2), and nitrogen oxides (NOx), was divided into three levels (high, moderate, and low) using Latent Profile Analysis (LPA). Cox proportional hazard regression analysis was performed to examine the links between lifestyle, air pollution, and all-cause mortality before and after adjustment for potential confounders. Restricted cubic spline curves featuring three knots were incorporated to determine nonlinear relationships. The robustness of the findings was assessed via subgroup and sensitivity analyses. RESULTS With unhealthy lifestyles have a significantly enhanced risk of death compared to people with general lifestyles (HR = 1.315, 95% CI, 1.277-1.355), while people with healthy lifestyles have a significantly lower risk of death (HR = 0.821, 95% CI, 0.785-0.858). Notably, the difference in risk between moderate air pollution and mortality risk remained insignificant (HR = 0.993, 95% CI, 0.945-1.044). High air pollution, on the other hand, was independently linked to increased mortality risk as compared to low air pollution (HR = 1.162, 95% CI, 1.124-1.201). The relationship between NOx, PM10, and PM2.5-10 and all-cause mortality was found to be nonlinear (p for nonlinearity < 0.05). Furthermore, no significant interaction was identified between lifestyle and air pollution with respect to all-cause mortality. CONCLUSIONS Exposure to ambient air pollution elevated the likelihood of mortality from any cause, which was impacted by individual lifestyles. To alleviate this hazard, it is crucial for authorities to escalate environmental interventions, while individuals should proactively embrace and sustain healthy lifestyles.
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Affiliation(s)
- Lining Pu
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Yongbin Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Xiaojuan Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Huihui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Degong Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Xiaoxue He
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Xue Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Liqun Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Xiaojuan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Shulan He
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Xian Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China
| | - Jiangping Li
- Department of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan, 750004, China.
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Lee S, Ma X, Choi Y, Kim YS. Association of physical activity and socio-economic status on mortality in older adults: a retrospective cohort study of KNHANES-mortality linked data. Sci Rep 2024; 14:14447. [PMID: 38914607 PMCID: PMC11196573 DOI: 10.1038/s41598-024-62216-7] [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: 12/11/2023] [Accepted: 05/14/2024] [Indexed: 06/26/2024] Open
Abstract
We examined the joint association of physical activity (PA) and socio-economic status (SES) on all-causes and cardiovascular disease (CVD) mortality in 6945 elderly Koreans (mean age: 71.6 years, 41.8% male) using data from the Korean National Health and Nutrition Examination Survey (2007-2013) and death data from Statistics Korea (2019). The SES included household income and education level. PA was assessed using the IPAQ and categorized according to the 2018 PA Guidelines. In stratified analyses using Cox proportional hazards by SES adherence to PA guidelines those who low household income group was associated with a reduced risk of all-cause mortality and CVD mortality, while in the lowest educational level group, it was associated with a reduced risk of all-cause mortality and CVD mortality. In the joint analysis, PA was associated with a significant reduction in all-cause mortality in all groups when compared with those who did not meet PA those who had the lowest SES. However, PA with CVD mortality risk was not significantly associated in the 'upper-middle' income and 'high school' education groups. The study revealed that PA significantly association mortality, particularly among older adults with low SES. This finding suggests the potential for targeted government interventions to promote healthy aging.
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Affiliation(s)
- Soomin Lee
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Xiaonan Ma
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Younghwan Choi
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Yeon Soo Kim
- Department of Physical Education, College of Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
- Institute of Sport Science, Seoul National University, Seoul, Republic of Korea.
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Pitino A, D’Arrigo G, Marino C, Pizzini P, Caridi G, Mallamaci F, Tripepi G, Zoccali C. Socioeconomic Status and Clinical Outcomes in Chronic Kidney Disease: Bootstrap Validation of a Simple Indicator. J Clin Med 2024; 13:3600. [PMID: 38930130 PMCID: PMC11204512 DOI: 10.3390/jcm13123600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Background: Chronic Kidney Disease (CKD) is a complex health condition that interacts significantly with socioeconomic determinants, particularly income status and education. This study developed a simple indicator of socioeconomic status (SES), which is composed of income status and education in CKD patients, and evaluated its impact on health outcomes in this population. Methods: This study was conducted on 561 CKD patients, stages 2-5. The composite SES score was developed by combining the regression coefficients of income and education as predictors of the study endpoint in a multivariable Cox model, normalizing these coefficients to derive weights, and then using these weights to calculate an individual percentage score based on each person's income and education. The composed SES indicator was internally validated through bootstrap analysis. Over a median follow-up time of 36 months, we tracked all-cause death and non-fatal cardiovascular events. Results: Both lack of income (p = 0.020) and low educational level (p = 0.034) were independently related to the combined endpoint. Based on these covariates' regression coefficients, a composite socioeconomic score considering income and educational level was generated. In a Cox regression model, a 10% increase in this composite risk score entailed a 25% increase in the hazard ratio (HR) of the combined endpoint [HR (10% increase): 1.25], and the internally validated 95% CI ranged from 1.14 to 1.41 (p < 0.001). Conclusions: This study underscores the significant impact of a simple, bootstrap-validated composite SES indicator on CKD patients' health outcomes. These findings highlight the importance of considering education and socioeconomic factors in managing and treating CKD patients and inform future research and policy considerations for this population.
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Affiliation(s)
- Annalisa Pitino
- National Research Council of ITALY (CNR), Institute of Clinical Physiology in Rome, 00042 Rome, Italy
| | - Graziella D’Arrigo
- National Research Council of ITALY (CNR), Institute of Clinical Physiology in Reggio Calabria, 00185 Reggio Calabria, Italy
| | - Carmela Marino
- National Research Council of ITALY (CNR), Institute of Clinical Physiology in Reggio Calabria, 00185 Reggio Calabria, Italy
| | - Patrizia Pizzini
- National Research Council of ITALY (CNR), Institute of Clinical Physiology in Reggio Calabria, 00185 Reggio Calabria, Italy
| | - Graziella Caridi
- Nephrology and Renal Transplantation Unit, Grande Ospedale Metropolitano, 20126 Reggio Calabria, Italy
| | - Francesca Mallamaci
- National Research Council of ITALY (CNR), Institute of Clinical Physiology in Reggio Calabria, 00185 Reggio Calabria, Italy
- Nephrology and Renal Transplantation Unit, Grande Ospedale Metropolitano, 20126 Reggio Calabria, Italy
| | - Giovanni Tripepi
- National Research Council of ITALY (CNR), Institute of Clinical Physiology in Reggio Calabria, 00185 Reggio Calabria, Italy
| | - Carmine Zoccali
- Renal Research Institute, New York, NY 10065, USA
- Institute of Molecular Biology and Genetics (Biogem), 21846 Ariano Irpino, Italy
- Carmine Zoccali IPNET, Associazione Ipertensione Nefrologia Trapianto (IPNET), c/o Nefrologia, Grande Ospedale Metropolitano, 89124 Reggio Calabria, Italy
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Deng H, Zhao Y, Zou Q, Chen Z, Liao X. Global burden, trends, and cross-country inequalities of urinary tract infections in adolescents and young adults, 1990 to 2019. Am J Infect Control 2024:S0196-6553(24)00551-0. [PMID: 38885792 DOI: 10.1016/j.ajic.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Limited studies have evaluated the global burden, trends, and cross-country inequalities for urinary tract infections (UTIs) in adolescents and young adults (AYAs). METHODS Age-standardized incidence rate, age-standardized mortality rate, and age-standardized Disability-Adjusted Life Years (DALYs) rate were used to describe the UTI burden. The estimated annual percentage changes were calculated to evaluate the temporal trends from 1990 to 2019. The slope index of inequality and concentration index were utilized to quantify the distributive inequalities. RESULTS From 1990 to 2019, a significant increase in age-standardized incidence rate (estimated annual percentage change =0.22%, 95% confidence interval 0.19%-0.26%) was found for UTIs in AYAs, and the increasing trend was more pronounced in males than females. Significant decreases in age-standardized mortality rate and age-standardized DALY rate were found in females but not in males. The slope index of inequality changed from 21.80 DALYs per 100,000 in 1990 to 20.91 DALYs per 100,000 in 2019 for UTIs in AYAs. Moreover, the concentration index showed -0.23 in 1990 and -0.14 in 2019. DISCUSSION Countries with lower sociodemographic development levels shouldered a disproportionately higher UTI burden. CONCLUSIONS UTIs remain an ongoing health burden for AYAs globally, with substantial heterogeneities found across countries, sex, and age groups.
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Affiliation(s)
- Hua Deng
- Department of Nephrology, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Yan Zhao
- Reproductive Medicine Center, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Qin Zou
- Department of Nephrology, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Zhe Chen
- Department of Nephrology, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Xiangping Liao
- Department of Nephrology, The First People's Hospital of Chenzhou, Chenzhou, China.
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Zhang Y, Lu J, Chai J, Li J, Li Y, Tang X, Zhou L. Association between blood cell ratios and coronary heart disease: A 10-year nationwide study (NHANES 2009-2018). Medicine (Baltimore) 2024; 103:e38506. [PMID: 38875383 PMCID: PMC11175881 DOI: 10.1097/md.0000000000038506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/16/2024] Open
Abstract
Blood cell ratios are a standard clinical index for the assessment of inflammation. Although a large number of epidemiological investigations have shown that inflammation is a potential risk factor for the development of coronary heart disease (CHD), there is not sufficient and direct evidence to confirm the relationship between blood cell ratios and CHD. Therefore, this study aimed to elucidate the effect of blood cell ratios on the incidence of coronary heart disease. This 10-year national study included data from 24,924 participants. The independent variable was blood cell ratios, and the dependent variable was coronary heart diseases (yes or no). The relationship between blood cell ratios and coronary heart disease was verified using baseline characteristic analysis, multivariate logistic regression analysis, smoothed fitted curves, and subgroup analysis. This study found that in multiple logistic regression analysis showed significant positive correlation between monocyte counts × meutrophil counts/lymphocyte counts (SIRI) (OR = 1.495; 95% CI = 1.154-1.938), monocyte-lymphocyte ratio (MLR) (OR = 3.081; 95% CI = 1.476-6.433) and the incidence of CHD; lymphocyte-monocyte ratio (LMR) (OR = 0.928;95% CI = 0.873-0.987), monocyte-lymphocyte ratio (PLR) (OR = 0.997;95% CI = 0.994-1.000) showed negative correlation with CHD. The smoothed curve fitting shows a nonlinear relationship between SIRI, LMR, PLR, and CHD, with an inverted U-shaped curve between SIRI and CHD, an L-shaped angle between LMR and CHD, and a U-shaped curve between PLR and CHD, respectively. Their inflection points are 1.462, 3.75, and 185.714, respectively. SIRI has an inverted U-shaped curve with coronary heart disease, suggesting that low levels of SIRI increase the risk of CHD; LMR with an L-shaped curve with CHD, and PLR with a U-shaped curve with CHD, suggesting that the risk of CHD can be prevented when LMR and PLR are reduced to a certain level. This has positive implications for the prevention and treatment of CHD.
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Affiliation(s)
- Yishuo Zhang
- College of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Jing Lu
- Research Center of Traditional Chinese Medicine, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Jingmei Chai
- Medical College, Yanbian University, Yanji, Jilin, China
| | - Jiaxin Li
- College of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Yijing Li
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Xiaolei Tang
- Research Center of Traditional Chinese Medicine, The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Liya Zhou
- College of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin, China
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Liu S, Chen X, Jiang X, Yin X, Fekadu G, Liu C, He Y, Chen H, Ni W, Wang R, Zeng QL, Chen Y, Yang L, Shi R, Ju SH, Shen J, Gao J, Zhao L, Ming WK, Zhong VW, Teng GJ, Qi X. LiverRisk score: An accurate, cost-effective tool to predict fibrosis, liver-related, and diabetes-related mortality in the general population. MED 2024; 5:570-582.e4. [PMID: 38554711 DOI: 10.1016/j.medj.2024.03.003] [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: 11/06/2023] [Revised: 01/22/2024] [Accepted: 03/06/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Noninvasive and early assessment of liver fibrosis is of great significance and is challenging. We aimed to evaluate the predictive performance and cost-effectiveness of the LiverRisk score for liver fibrosis and liver-related and diabetes-related mortality in the general population. METHODS The general population from the NHANES 2017-March 2020, NHANES 1999-2018, and UK Biobank 2006-2010 were included in the cross-sectional cohort (n = 3,770), along with the NHANES follow-up cohort (n = 25,317) and the UK Biobank follow-up cohort (n = 17,259). The cost-effectiveness analysis was performed using TreeAge Pro software. Liver stiffness measurements ≥10 kPa were defined as compensated advanced chronic liver disease (cACLD). FINDINGS Compared to conventional scores, the LiverRisk score had significantly better accuracy and calibration in predicting liver fibrosis, with an area under the receiver operating characteristic curve (AUC) of 0.76 (0.72-0.79) for cACLD. According to the updated thresholds of LiverRisk score (6 and 10), we reclassified the population into three groups: low, medium, and high risk. The AUCs of LiverRisk score for predicting liver-related and diabetes-related mortality at 5, 10, and 15 years were all above 0.8, with better performance than the Fibrosis-4 score. Furthermore, compared to the low-risk group, the medium-risk and high-risk groups in the two follow-up cohorts had a significantly higher risk of liver-related and diabetes-related mortality. Finally, the cost-effectiveness analysis showed that the incremental cost-effectiveness ratio for LiverRisk score compared to FIB-4 was USD $18,170 per additional quality-adjusted life-year (QALY) gained, below the willingness-to-pay threshold of $50,000/QALY. CONCLUSIONS The LiverRisk score is an accurate, cost-effective tool to predict liver fibrosis and liver-related and diabetes-related mortality in the general population. FUNDING The National Natural Science Foundation of China (nos. 82330060, 92059202, and 92359304); the Key Research and Development Program of Jiangsu Province (BE2023767a); the Fundamental Research Fund of Southeast University (3290002303A2); Changjiang Scholars Talent Cultivation Project of Zhongda Hospital of Southeast University (2023YJXYYRCPY03); and the Research Personnel Cultivation Program of Zhongda Hospital Southeast University (CZXM-GSP-RC125).
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Affiliation(s)
- Shanghao Liu
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China; Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, State Key Laboratory of Digital Medical Engineering, Nanjing, China
| | - Xiaohan Chen
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Xuanwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaochun Yin
- Department of Gastroenterology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Ginenus Fekadu
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Chuan Liu
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China; Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, State Key Laboratory of Digital Medical Engineering, Nanjing, China
| | - Yan He
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Huihui Chen
- Department of Ultrasound, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Wenjing Ni
- Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Ruiying Wang
- The First Clinical Medical College of Lanzhou University, Lanzhou, China
| | - Qing-Lei Zeng
- Department of Infectious Diseases and Hepatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuping Chen
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China; Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, State Key Laboratory of Digital Medical Engineering, Nanjing, China
| | - Ling Yang
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China
| | - Ruihua Shi
- Department of Gastroenterology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Sheng-Hong Ju
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China; Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, State Key Laboratory of Digital Medical Engineering, Nanjing, China
| | - Jie Shen
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, China
| | - Jingli Gao
- Department of Intensive Care Unit, Kailuan General Hospital, Tangshan, Hebei, China
| | - Linhua Zhao
- Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wai-Kit Ming
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Victor W Zhong
- Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gao-Jun Teng
- Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, State Key Laboratory of Digital Medical Engineering, Nanjing, China; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.
| | - Xiaolong Qi
- Center of Portal Hypertension, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China; Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, State Key Laboratory of Digital Medical Engineering, Nanjing, China.
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He J, Cabrera-Mendoza B, Friligkou E, Mecca AP, van Dyck CH, Pathak GA, Polimanti R. Sex differences in the associations of socioeconomic factors and cognitive performance with family history of Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.12.24308850. [PMID: 38947007 PMCID: PMC11213115 DOI: 10.1101/2024.06.12.24308850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
INTRODUCTION While higher socioeconomic factors (SEF) and cognitive performance (CP) have been associated with reduced Alzheimer's disease (AD) risk, recent evidence highlighted that these factors may have opposite effects on family history of AD (FHAD). METHODS Leveraging data from the UK Biobank (N=448,100) and the All of Us Research Program (N=240,319), we applied generalized linear regression models, polygenic risk scoring (PRS), and one-sample Mendelian randomization (MR) to test the sex-specific SEF and CP associations with AD and FHAD. RESULTS Observational and genetically informed analyses highlighted that higher SEF and CP were associated with reduced AD and sibling-FHAD, while these factors were associated with increased parent-FHAD. We also observed that population minorities may present different patterns with respect to sibling-FHAD vs. parent-FHAD. Sex differences in FHAD associations were identified in ancestry-specific and SEF PRS and MR results. DISCUSSION This study contributes to understanding the sex-specific relationships linking SEF and CP to FHAD, highlighting the potential role of reporting, recall, and surviving-related dynamics.
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Qiu J, Huang X, Kuang M, Wang C, Yu C, He S, Xie G, Wu Z, Sheng G, Zou Y. Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure. ESC Heart Fail 2024. [PMID: 38867498 DOI: 10.1002/ehf2.14904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024] Open
Abstract
AIMS The value of the systemic immune-inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF). METHODS This analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi-acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan-Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose-response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality. RESULTS The Kaplan-Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 109/L) was significantly greater than that in the low SII group (SII < 980 × 109/L, log-rank P < 0.001). After adjusting for various confounding factors, a higher SII was associated with an increased risk of 30 day mortality in ADHF patients [hazard ratio (HR) = 2.03, 95% confidence interval (CI): 1.34-3.08]. Further restricted cubic spline analysis revealed a non-linear dose-response relationship between the two (P for non-linear = 0.006). Receiver operating characteristic analysis demonstrated that SII had a high accuracy in predicting 30 day mortality events in ADHF patients (AUC = 0.7479), and the optimal predictive threshold was calculated to be 980 × 109/L, a sensitivity of 0.7547 and a specificity of 0.7234. CONCLUSIONS This study found a significant positive association between SII and 30 day all-cause mortality in ADHF patients. We determined the SII cut-off point for predicting 30 day all-cause mortality in patients with ADHF to be 980 × 109/L.
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Affiliation(s)
- Jiajun Qiu
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Xin Huang
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Maobin Kuang
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Chao Wang
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Changhui Yu
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Shiming He
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Guobo Xie
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Zhiyong Wu
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Guotai Sheng
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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