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Che Y, Tang R, Zhang H, Yang M, Geng R, Zhuo L, Wang P, Hu X, Zhou Y, Wang P, Zhan S, Li B. Development of a prediction model for predicting the prevalence of nonalcoholic fatty liver disease in Chinese nurses: the first-year follow data of a web-based ambispective cohort study. BMC Gastroenterol 2024; 24:72. [PMID: 38355421 PMCID: PMC10868006 DOI: 10.1186/s12876-024-03121-1] [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: 07/04/2023] [Accepted: 01/01/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is gradually becoming a huge threat to public health. With complex working characteristics, female nurses had been found with high risk of NAFLD. To develop and validate a prediction model to predict the prevalence of NAFLD based on demographic characteristics, work situation, daily lifestyle and laboratory tests in female nurses. METHODS This study was a part of the Chinese Nurse Cohort Study (The National Nurse Health Study, NNHS), and data were extracted from the first-year follow data collected from 1st June to 1st September 2021 by questionnaires and physical examination records in a comprehensive tertiary hospital. The questionnaires included demographic characteristics, work situation and daily lifestyle. Logistic regression and a nomogram were used to develop and validate the prediction model. RESULTS A total of 824 female nurses were included in this study. Living situation, smoking history, monthly night shift, daily sleep time, ALT/AST, FBG, TG, HDL-C, UA, BMI, TBil and Ca were independent risk factors for NAFLD occurance. A prediction model for predicting the prevalence of NAFLD among female nurses was developed and verified in this study. CONCLUSION Living situation, smoking history, monthly night shift, daily sleep time, ALT/AST, FBG, TG, UA, BMI and Ca were independent predictors, while HDL-C and Tbil were independent protective indicators of NAFLD occurance. The prediction model and nomogram could be applied to predict the prevalence of NAFLD among female nurses, which could be used in health improvement. TRIAL REGISTRATION This study was a part of the Chinese Nurse Cohort Study (The National Nurse Health Study, NNHS), which was a ambispective cohort study contained past data and registered at Clinicaltrials.gov ( https://clinicaltrials.gov/ct2/show/NCT04572347 ) and the China Cohort Consortium ( http://chinacohort.bjmu.edu.cn/project/102/ ).
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Affiliation(s)
- Ying Che
- Medical Examination Center, Peking university third hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Rongsong Tang
- Nursing Department, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Heli Zhang
- Department of Rehabilitation Medicine, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Min Yang
- Nursing Department, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Rongmei Geng
- Nursing Department, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Lin Zhuo
- Center for Clinical Epidemiology Research, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Peng Wang
- Medical Examination Center, Peking university third hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Xianjing Hu
- School of Nursing, Peking university, Xueyuan Road No. 38, Haidian District, Beijing, China
| | - Yujie Zhou
- General surgery department, Peking university third hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Panfeng Wang
- Oncology Radiotherapy Department, Peking university third hospital, Huayuan North Road No.49, Haidian District, Beijing, China
| | - Siyan Zhan
- Center for Clinical Epidemiology Research, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China.
| | - Baohua Li
- Nursing Department, Peking University Third Hospital, Huayuan North Road No.49, Haidian District, Beijing, China.
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Wang X, Wang B, Yang F, Shang K, Chen S, Zhang Y. Associations between plasma metal elements and risk of cognitive impairment among Chinese older adults. Front Aging Neurosci 2024; 16:1353286. [PMID: 38384934 PMCID: PMC10879289 DOI: 10.3389/fnagi.2024.1353286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 01/29/2024] [Indexed: 02/23/2024] Open
Abstract
Background The relationship between plasma metal elements and cognitive function is unclear, especially in extremely older individuals. This present study aimed to explore the association between plasma metal concentrations and the risk of cognitive impairment (CI) in Chinese extremely older adults. Methods Individuals aged ≥90 years with plasm metal concentration data from the fifth wave of the 2008 Chinese Longitudinal Healthy Longevity Survey were included. Plasma selenium (Se), manganese (Mn), magnesium (Mg), calcium (Ca), iron (Fe), copper (Cu), and zinc (Zn) concentrations were measured using inductively coupled plasma optical emission spectroscopy. Cognitive function was assessed by the Chinese version of the mini-mental state examination. Results The study enrolled 408 participants. Participants with CI had significantly lower plasma Se, Mn, and Fe levels and higher Ca levels than those with normal cognitive function (p < 0.05). Plasma Se, Mn, Ca, and Fe concentrations were significantly associated with CI risk in both single- and multiple-element logistic regression models. Additionally, the multiple-element model results showed that the adjusted odds ratios for CI were 0.042 (95% confidence interval 0.016-0.109), 0.106 (0.044-0.255), 7.629 (3.211-18.124) and 0.092 (0.036-0.233) for the highest quartiles compared to the lowest quartiles of Se, Mn, Ca, and Fe, respectively. Moreover, subgroup analyses by age, sex, and body mass index suggested a consistent significant correlation (p < 0.05). Conclusion Therefore, decreased plasma Se, Mn, and Fe and increased plasma Ca levels were associated with CI risk in Chinese older adults. These findings are of great significance for the development of programs to delay cognitive decline in the elderly.
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Affiliation(s)
- Xin Wang
- Department of Neurology, Tongji Shanxi Hospital, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Binbin Wang
- School of Life Science, Shanxi Normal University, Taiyuan, China
| | - Fuwen Yang
- Department of Neurology, Tongji Shanxi Hospital, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China
| | - Kaijian Shang
- Department of Emergency Medicine, Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Shaowei Chen
- Department of Hematology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yue Zhang
- School of Public Health, Department of Epidemiology, Shanxi Medical University, Key Laboratory of Coal Environmental Pathogenicity and Prevention, Ministry Education, Taiyuan, China
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