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Zheng G, Xia H, Lai Z, Shi H, Zhang J, Wang C, Tian F, Lin H. Dietary Inflammatory Index and Dietary Diversity Score Associated with Sarcopenia and Its Components: Findings from a Nationwide Cross-Sectional Study. Nutrients 2024; 16:1038. [PMID: 38613070 PMCID: PMC11013103 DOI: 10.3390/nu16071038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 03/29/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024] Open
Abstract
Little is known about the independent and joint effects of the energy-adjusted dietary inflammatory index (E-DII) and dietary diversity score (DDS) on sarcopenia and its components (low muscle mass, low muscle strength, and low physical performance). A total of 155,669 UK Biobank participants with ≥1 (maximum 5) 24 h dietary assessments were included in this cross-sectional analysis. We used logistic regression models to investigate the associations of E-DII and DDS with sarcopenia and its three components. We further examined the joint effects of E-DII and DDS on sarcopenia and its components using additive and multiplicative interaction analyses. We observed that lower E-DII and higher DDS were associated with lower odds of sarcopenia and its components. There were significant joint associations of E-DII and DDS with sarcopenia and low physical performance (p-interaction < 0.05) on the multiplicative interactive scale. Our study suggests that lower dietary inflammatory potential and higher dietary diversity might be important protective factors against sarcopenia and its components. More cases of sarcopenia and low physical performance might be preventable by adherence to a more anti-inflammatory diet combined with a higher dietary diversity.
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Affiliation(s)
- Guzhengyue Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou 510080, China; (G.Z.); (Z.L.); (H.S.); (J.Z.); (F.T.)
| | - Hui Xia
- Center for Health Care, Longhua District, Shenzhen 518109, China;
| | - Zhihan Lai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou 510080, China; (G.Z.); (Z.L.); (H.S.); (J.Z.); (F.T.)
| | - Hui Shi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou 510080, China; (G.Z.); (Z.L.); (H.S.); (J.Z.); (F.T.)
| | - Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou 510080, China; (G.Z.); (Z.L.); (H.S.); (J.Z.); (F.T.)
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China;
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou 510080, China; (G.Z.); (Z.L.); (H.S.); (J.Z.); (F.T.)
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou 510080, China; (G.Z.); (Z.L.); (H.S.); (J.Z.); (F.T.)
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Zhang S, Cao H, Chen K, Gao T, Zhao H, Zheng C, Wang T, Zeng P, Wang K. Joint Exposure to Multiple Air Pollutants, Genetic Susceptibility, and Incident Dementia: A Prospective Analysis in the UK Biobank Cohort. Int J Public Health 2024; 69:1606868. [PMID: 38426188 PMCID: PMC10901982 DOI: 10.3389/ijph.2024.1606868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Objectives: This study aimed to evaluate the joint effects of multiple air pollutants including PM2.5, PM10, NO2, and NOx with dementia and examined the modifying effects of genetic susceptibility. Methods: This study included 220,963 UK Biobank participants without dementia at baseline. Weighted air pollution score reflecting the joint exposure to multiple air pollutants were constructed by cross-validation analyses, and inverse-variance weighted meta-analyses were performed to create a pooled effect. The modifying effect of genetic susceptibility on air pollution score was assessed by genetic risk score and APOE ε4 genotype. Results: The HR (95% CI) of dementia for per interquartile range increase of air pollution score was 1.13 (1.07∼1.18). Compared with the lowest quartile (Q1) of air pollution score, the HR (95% CI) of Q4 was 1.26 (1.13∼1.40) (P trend = 2.17 × 10-5). Participants with high air pollution score and high genetic susceptibility had higher risk of dementia compared to those with low air pollution score and low genetic susceptibility. Conclusion: Our study provides evidence that joint exposure to multiple air pollutants substantially increases the risk of dementia, especially among individuals with high genetic susceptibility.
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Affiliation(s)
- Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Hongyan Cao
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Keying Chen
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tongyu Gao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Huashuo Zhao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chu Zheng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ke Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
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Tao H, Wang T, Jia YQ. Joint association of sleep duration and physical activity with cognitive performance among Chinese adults: an analysis of nationally representative survey data. Front Public Health 2023; 11:1244407. [PMID: 38026407 PMCID: PMC10655006 DOI: 10.3389/fpubh.2023.1244407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 08/28/2023] [Indexed: 12/01/2023] Open
Abstract
Background Although previous studies have identified that both physical activity and sleep problems are independently associated with decreased risk of cognitive function. However, the joint association of physical activity and sleep duration with cognitive function was rarely studied. Methods A total of 21,128 participants who had records from the China Family Panel Studies (CFPS) in 2018 were included in this study. Linear regression was used to examine the associations of joint between physical activity and sleep duration with cognitive function in the nationally representative survey data. Results Compared with individuals reporting 150 min/week or more of activity, those reporting no physical activity had a 116% higher risk of getting lower vocabulary scores (coefficient: -1.16, 95% CI: -1.55 ~ -0.78) and a 61% higher risk of getting lower mathematics scores (coefficient: -0.61, 95% CI: -0.78 ~ -0.44). Compared with those who slept for 7-10 h/day, those who slept more than 10 h/day had the lower vocabulary scores (coefficient: -1.34, 95% CI: -1.86 ~ -0.83) and mathematics scores (coefficient: -0.68, -0.94 ~ -0.42). The results of joint analysis showed that the adjusted coefficient for vocabulary scores were - 2.58 (95% CI, -3.33 ~ -1.82) for individuals reporting no physical activity and sleeping for 10 h/day, and - 1.00 (95% CI, -1.88 ~ -0.12) for individuals reporting more than 150 min/week and sleeping for 10 h/day, compared with those who reported a sleep duration for 7-10 h/day and more than 150 min/week physical activity, Any level of physical activity combined with longer sleep duration (≥10 h/day) was associated with a higher risk of getting low mathematics scores. Conclusion Appropriate sleep and sufficient physical activity together may have amplified association on cognitive performance, highlighting the importance of a comprehensive healthy lifestyle.
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Affiliation(s)
- Huan Tao
- Department of Hematology, West China Hospital of Sichuan University, Chengdu, China
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Xu J, Shi Y, Chen G, Guo Y, Tang W, Wu C, Liang S, Huang Z, He G, Dong X, Cao G, Yang P, Lin Z, Zhu S, Wu F, Liu T, Ma W. Joint Effects of Long-Term Exposure to Ambient Fine Particulate Matter and Ozone on Asthmatic Symptoms: Prospective Cohort Study. JMIR Public Health Surveill 2023; 9:e47403. [PMID: 37535415 PMCID: PMC10436124 DOI: 10.2196/47403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 05/08/2023] [Accepted: 06/21/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND The associations of long-term exposure to air pollutants in the presence of asthmatic symptoms remain inconclusive and the joint effects of air pollutants as a mixture are unclear. OBJECTIVE We aimed to investigate the individual and joint associations of long-term exposure to ambient fine particulate matter (PM2.5) and daily 8-hour maximum ozone concentrations (MDA8 O3) in the presence of asthmatic symptoms in Chinese adults. METHODS Data were derived from the World Health Organization Study on Global Ageing and Adult Health (WHO SAGE) cohort study among adults aged 50 years or older, which was implemented in 1 municipality and 7 provinces across China during 2007-2018. Annual average MDA8 O3 and PM2.5 at individual residential addresses were estimated by an iterative random forest model and a satellite-based spatiotemporal model, respectively. Participants who were diagnosed with asthma by a doctor or taking asthma-related therapies or experiencing related conditions within the past 12 months were recorded as having asthmatic symptoms. The individual associations of PM2.5 and MDA8 O3 with asthmatic symptoms were estimated by a Cox proportional hazards regression model, and the joint association was estimated by a quantile g-computation model. A series of subgroup analyses was applied to examine the potential modifications of some characteristics. We also calculated the population-attributable fraction (PAF) of asthmatic symptoms attributed to PM2.5 and MDA8 O3. RESULTS A total of 8490 adults older than 50 years were included, and the average follow-up duration was 6.9 years. During the follow-up periods, 586 (6.9%) participants reported asthmatic symptoms. Individual effect analyses showed that the risk of asthmatic symptoms was positively associated with MDA8 O3 (hazard ratio [HR] 1.12, 95% CI 1.01-1.24, for per quantile) and PM2.5 (HR 1.18, 95% CI 1.05-1.31, for per quantile). Joint effect analyses showed that per equal quantile increment of MDA8 O3 and PM2.5 was associated with an 18% (HR 1.18, 95% CI 1.05-1.33) increase in the risk of asthmatic symptoms, and PM2.5 contributed more (68%) in the joint effects. The individual PAFs of asthmatic symptoms attributable to PM2.5 and MDA8 O3 were 2.86% (95% CI 0.17%-5.50%) and 4.83% (95% CI 1.42%-7.25%), respectively, while the joint PAF of asthmatic symptoms attributable to exposure mixture was 4.32% (95% CI 1.10%-7.46%). The joint associations were greater in participants with obesity, in urban areas, with lower family income, and who used unclean household cooking fuel. CONCLUSIONS Long-term exposure to PM2.5 and MDA8 O3 may individually and jointly increase the risk of asthmatic symptoms, and the joint effects were smaller than the sum of individual effects. These findings informed the importance of joint associations of long-term exposure to air pollutants with asthma.
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Affiliation(s)
- Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Yan Shi
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Gongbo Chen
- School of Public Health and Preventive Medicine, Monash University, Victoria, Australia
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China
| | - Weiling Tang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Shuru Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhongguo Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Ganxiang Cao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Sui Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Fan Wu
- Shanghai Medical College, Fudan University, Shanghai, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
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Pacheco LS, Tobias DK, Li Y, Bhupathiraju SN, Willett WC, Ludwig DS, Ebbeling CB, Haslam DE, Drouin-Chartier JP, Hu FB, Guasch-Ferré M. Sugar- or artificially-sweetened beverage consumption, physical activity, and risk of cardiovascular disease in US adults. medRxiv 2023:2023.04.17.23288711. [PMID: 37162926 PMCID: PMC10168425 DOI: 10.1101/2023.04.17.23288711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background The extent to which physical activity attenuates the detrimental effects of sugar (SSBs)- or artificially-sweetened beverages (ASBs) on the risk of cardiovascular disease is unknown. Methods We used Cox proportional-hazards models to calculate hazard ratios and 95% confidence interval [HR (CI)] between SSB or ASB intake and physical activity with cardiovascular disease risk among 65,730 women in the Nurses' Health Study (1980-2016) and 39,418 men in the Health Professional's Follow-up Study (1986-2016), who were free from chronic diseases at baseline. SSBs and ASBs were assessed every 4-years and physical activity biannually. Results A total of 13,269 cardiovascular events were ascertained during 3,001,213 person-years of follow-up. Compared with those that never/rarely consumed SSBs or ASBs, HR and 95% CI for cardiovascular disease for participants consuming ≥2 servings/day were 1.21 (95% CI,1.12 to 1.32; P-trend<0.001) and 1.03 (95% CI, 0.97 to 1.09; P-trend=0.06), respectively. In the joint analyses, for participants meeting and not meeting physical activity guidelines (<7.5 vs ≥7.5 MET-h/week) as well as consuming ≥2 servings/day of SSBs or ASBs, the HRs for cardiovascular disease were 1.15 (95% CI, 1.08 to 1.23) and 0.96 (95% CI, 0.91 to 1.02), and 1.47 (95% CI, 1.37 to 1.57) and 1.29 (95% CI, 1.22 to 1.37) respectively, compared with participants who met physical activity guidelines and never/rarely consumed these beverages. Similar patterns were observed when coronary heart disease and stroke were analyzed. Conclusions Our findings suggest that among physically active participants, higher SSB intake, but not ASBs, is associated with a higher cardiovascular risk. Our results support current recommendations to limit the intake of SSB and maintain adequate physical activity levels.
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Affiliation(s)
- Lorena S. Pacheco
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Deirdre K. Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shilpa N. Bhupathiraju
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Walter C. Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - David S. Ludwig
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- New Balance Foundation Obesity Prevention Center, Boston Children’s Hospital, Boston, MA, USA
| | - Cara B. Ebbeling
- New Balance Foundation Obesity Prevention Center, Boston Children’s Hospital, Boston, MA, USA
| | - Danielle E. Haslam
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jean-Philippe Drouin-Chartier
- Faculté de Pharmacie, Université Laval, Quebec City, Quebec, Canada
- Centre Nutrition Santé et Societé (NUTRISS), Institut Sur la Nutrition et les Aliments Fonctionnnels (INAF), Université Laval, Quebec City, Quebec, Canada
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Zhang F, Zhang X, Zhong Y, Zhu S, Zhao G, Zhang X, Li T, Zhang Y, Zhu W. Joint Exposure to Ambient Air Pollutants Might Elevate the Risk of Small for Gestational Age (SGA) Infants in Wuhan: Evidence From a Cross-Sectional Study. Int J Public Health 2023; 67:1605391. [PMID: 36686387 PMCID: PMC9849243 DOI: 10.3389/ijph.2022.1605391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/16/2022] [Indexed: 01/06/2023] Open
Abstract
Objective: To investigate the effect of exposure to multiple ambient air pollutants during pregnancy on the risk of children being born small for gestational age (SGA). Methods: An Air Pollution Score (APS) was constructed to assess the effects of being exposed to six air pollutants simultaneously, PM2.5, PM10, SO2, NO2, CO, and O3 (referred to as joint exposure). A logistic regression model was applied to estimate the associations of APS and SGA. Results: The adjusted odds ratios (ORs) of SGA per 10 ug/m3 increased in APS during the first and second trimesters and the entire pregnancy were 1.003 [95% confidence intervals (CIs): 1.000, 1.007], 1.018 (1.012, 1.025), and 1.020 (1.009, 1.031), respectively. The ORs of SGA for each 10 μg/m3 elevated in APS during the whole pregnancy were 1.025 (1.005, 1.046) for mothers aged over 35 years old vs. 1.018 (1.005, 1.031) for mothers aged under 35 years old. Women who were pregnant for the first time were more vulnerable to joint ambient air pollution. Conclusion: In summary, the results of the present study suggested that joint exposure to ambient air pollutants was associated with the increment in the risks of SGA.
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Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Yuanyuan Zhong
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Yan Zhang
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Yan Zhang, ; Wei Zhu,
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China,*Correspondence: Yan Zhang, ; Wei Zhu,
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Huang S, Sun H, Yu J, Shi H, Ren L, He Y, Zhang M, Peng H, Guo H. The Interaction Between Self-Reported Sleep Duration and Physical Activity on Peripheral Artery Disease in Chinese Adults: A Cross-Sectional Analysis in the Tianning Cohort Study. Risk Manag Healthc Policy 2021; 14:4063-4072. [PMID: 34616193 PMCID: PMC8488049 DOI: 10.2147/rmhp.s332098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/16/2021] [Indexed: 12/13/2022] Open
Abstract
Purpose Sleep duration was associated with large artery atherosclerosis, but its association with atherosclerosis in lower extremity arteries was not well studied. Together with sleep, physical activity constitutes main component of our daily life and influences sleep. Here, we aimed to examine the independent and joint associations of sleep duration and physical activity with peripheral artery disease (PAD) in Chinese adults. Patients and Methods In Tianning cohort, night-time sleep duration and physical activity were assessed by the Pittsburgh Sleep Quality Index and the Global Physical Activity Questionnaire, respectively, for 5130 participants (51.0±15.6 years, 58.7% female). PAD was defined as ankle-brachial index (ABI) <0.9. General linear, and logistic regression models were used to assess the associations of sleep duration and physical activity with PAD. The biological interaction between sleep duration and physical activity on PAD was examined using additive model. Results Compared to participants sleeping 6-8.9 h, those sleeping ≥9 h had a 0.02 lower ABI (β=-0.02, P=0.007) and 38% higher odds of PAD (OR=1.38, P=0.035). Compared to physically active participants sleeping 6-8.9 h, among ≥9 h group, physically inactive individuals had significantly increased odds of PAD (OR=2.40, P<0.001), whereas physically active individuals did not (OR=1.15, P=0.472). On additive scale, attributable proportion due to interaction (0.40, 95% CI: 0.07, 0.73) indicated a significant interaction between sleep duration and physical activity on PAD. Conclusion Being physically active may attenuate the detrimental association between prolonged sleep duration and PAD. Moreover, we found a significant interaction between prolonged sleep duration and physical inactivity in the prevalence of PAD.
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Affiliation(s)
- Shujing Huang
- Department of Public Health, School of Medicine, Shihezi University, Shihezi, People's Republic of China
| | - Hongyan Sun
- Center for Disease Prevention and Control of Tianning District, Changzhou, People's Republic of China
| | - Jia Yu
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China
| | - Hongfei Shi
- Center for Disease Prevention and Control of Tianning District, Changzhou, People's Republic of China
| | - Liyun Ren
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China
| | - Yan He
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China
| | - Mingzhi Zhang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China
| | - Hao Peng
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, People's Republic of China
| | - Heng Guo
- Department of Public Health, School of Medicine, Shihezi University, Shihezi, People's Republic of China
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Che Q, Yang Y, Cheng G, Jia J, Fan F, Li J, Huo Y, Chen D, Zhang Y. Decreased GFR and its joint association with type 2 diabetes and hypertension with prevalence and severity of carotid plaque in a community population in China. Diabetes Metab Syndr Obes 2019; 12:1263-1273. [PMID: 31440071 PMCID: PMC6666373 DOI: 10.2147/dmso.s203545] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/29/2019] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Type 2 diabetes (T2DM), hypertension and kidney dysfunction are known risk factors for cardiovascular disease, but their combined effect on carotid plaque remains uncertain. This study aims to assess the associations between T2DM, hypertension, kidney dysfunction and carotid plaque, and further explore the combined effect of three diseases. PATIENTS AND METHODS We conducted a cross-sectional analysis among 3,815 community-dwelling adults in a Chinese atherosclerosis cohort. Estimated glomerular filtration rate (eGFR), hypertension and T2DM were evaluated as risk factors for carotid plaque. The presence, number and total area of carotid plaques were also assessed. Using logistic model, mutinomial logistic model and generalized linear regression model, the relationship between risk factors and carotid plaque was examined. RESULTS T2DM, hypertension, decreased GFR, and, inversely, eGFR, were independently associated with the presence, number and total area of carotid plaque. Stratified analysis by T2DM and hypertension showed T2DM attenuated the association between eGFR change and carotid plaque. There was a cumulative relationship between three risk factors and carotid plaque burden. The OR for the number of plaques was 1.0 (reference), 1.55 to 2.03, 1.94 to 3.14, and 3.69 (all P<0.05), respectively, for individuals with none, one, two, and three risk factors. Likewise, combining three risk factors was associated with greater increase in total plaque area (β, 20.63; 95% CI, 14.04-27.22). CONCLUSION The coexistence of decreased GFR, diabetes and hypertension is associated with increased risk of carotid plaque, and these comorbidities may contribute additively to the development of plaque.
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Affiliation(s)
- Qianzi Che
- Department of Epidemiology & Biostatistics, Peking University Health Science Center, Beijing, People’s Republic of China
| | - Ying Yang
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
| | - Guanliang Cheng
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
| | - Dafang Chen
- Department of Epidemiology & Biostatistics, Peking University Health Science Center, Beijing, People’s Republic of China
- Correspondence: Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing100191, People’s Republic of ChinaTel +86 108 280 2644Fax +86 108 280 2644Email
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, People’s Republic of China
- Yan ZhangDepartment of Cardiology, Peking University First Hospital, 8 Xishiku Street, Xicheng District,Beijing, People’s Republic of ChinaTel +86 010-83575728 Email
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