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Kyung Y, Park YS, Jin MH, Lee HJ. Variability in the association of smoking status with the prevalence of diabetes mellitus in the Korean population according to different definitions of smoking status: analysis based on the Korea National Health and Nutrition Examination Survey (2014-2020). INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:3218-3231. [PMID: 38174714 DOI: 10.1080/09603123.2023.2300036] [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: 07/20/2023] [Accepted: 12/23/2023] [Indexed: 01/05/2024]
Abstract
We evaluated the association between smoking and diabetes, as well as the effects of gender differences and hidden smoking among females on this association using nationally representative data. Analyzing data from 44,049 individuals aged 19 and older, we utilized multivariable logistic regression to investigate associations, controlling for sociodemographic factors. Subgroup analysis based on smoking status determined factors associated with diabetes. To better our understanding of the smoking-diabetes relationship, we introduced a new variable, survey-cotinine verified smoking status (SCS). This study provides valuable insight by exploring the correlation between smoking and diabetes using different definitions of smoking status. Both male and female smokers showed correlations with diabetes according to cotinine-verified smoking status (OR: 1.22 and 1.48, respectively). According to smoking amount, cotinine-verified heavy smokers correlated with diabetes in males (OR: 1.37), while light smokers exhibited a negative correlation with diabetes in females for both cotinine-verified smoking status (OR: 0.60) and survey-cotinine verified status (OR: 0.58) Smoking was associated with diabetes in the overall population, with gender differences observed. When evaluating this association, we should consider variables of smoking amount, passive and intermittent smoking, and specifically, account for the influence of hidden smoking among females, particularly when utilizing self-reported questionnaires in Korea.
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Affiliation(s)
- Yechan Kyung
- Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Young Sook Park
- Department of Physical & Rehabilitation Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Mi Hyeon Jin
- Department of Biostatistics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Hae Jeong Lee
- Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
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Lu Y, Li C, Xu W, Lv S, Li L. Blood glucose control among type 2 diabetic farmers in Chinese resettlement areas: a mixed methods study. BMC Endocr Disord 2024; 24:163. [PMID: 39210478 PMCID: PMC11360284 DOI: 10.1186/s12902-024-01686-2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Due to China's rapid urbanization, many farmers have relocated to urban resettlement regions. There is limited research on the glycemic control of Type 2 diabetes mellitus (T2DM) farmers in these areas. This study examined their blood glucose control and its determinants. METHODS This study took place from March 2021 to January 2022 in a resettlement community in Yiwu, Zhejiang Province, China. In the first phase, a quantitative survey of 181 T2DM farmers was conducted using a questionnaire to gather demographic data, blood glucose control status, disease cognition levels, and treatment compliance. Inclusion criteria were migrant workers with ≥ 3 months of residence and local household registration and T2DM patients who met the diagnostic criteria of the Chinese guidelines. In the second phase, qualitative research involved face-to-face, semi-structured interviews with 15 patients with varying blood glucose control levels to analyze their experiences. RESULTS The blood glucose control rate in this particular group was 27.62%, and the average disease cognition score was 2.5 ± 0.75. Many patients (67.96%) had inadequate treatment compliance, specifically in monitoring compliance (4.45 ± 1.92) and regular review compliance (3.58 ± 1.74). CONCLUSION There is a need for tailored programs to improve glycemic control among resettled farmers. Enhancing disease awareness and treatment compliance through targeted education and support is crucial. Further studies are needed to evaluate different treatment regimens' impact on glycemic control. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Yubing Lu
- Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, Zhejiang, China
| | - Caixia Li
- Inpatient department, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Zhejiang, China
| | - Wei Xu
- Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, Zhejiang, China
| | - Shukai Lv
- Inpatient department, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Zhejiang, China
| | - Leilei Li
- Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, Zhejiang, China.
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Zhang Y, Sun Q, Yu C, Sun D, Pang Y, Pei P, Du H, Yang L, Chen Y, Yang X, Chen X, Chen J, Chen Z, Li L, Lv J. Associations of traditional cardiovascular risk factors with 15-year blood pressure change and trajectories in Chinese adults: a prospective cohort study. J Hypertens 2024; 42:1340-1349. [PMID: 38525868 PMCID: PMC7616121 DOI: 10.1097/hjh.0000000000003717] [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] [Indexed: 03/26/2024]
Abstract
OBJECTIVE How traditional cardiovascular disease (CVD) risk factors are related to long-term blood pressure change (BPC) or trajectories remain unclear. We aimed to examine the independent associations of these factors with 15-year BPC and trajectories in Chinese adults. METHODS We included 15 985 participants who had attended three surveys, including 2004-2008 baseline survey, and 2013-2014 and 2020-2021 resurveys, over 15 years in the China Kadoorie Biobank (CKB). We measured systolic and diastolic blood pressure (SBP and DBP), height, weight, and waist circumference (WC). We asked about the sociodemographic characteristics and lifestyle factors, including smoking, alcohol drinking, intake of fresh vegetables, fruits, and red meat, and physical activity, using a structured questionnaire. We calculated standard deviation (SD), cumulative blood pressure (cumBP), coefficient of variation (CV), and average real variability (ARV) as long-term BPC proxies. We identified blood pressure trajectories using the latent class growth model. RESULTS Most baseline sociodemographic and lifestyle characteristics were associated with cumBP. After adjusting for other characteristics, the cumSBP (mmHg × year) increased by 116.9 [95% confidence interval (CI): 111.0, 122.7] for every 10 years of age. The differences of cumSBP in heavy drinkers of ≥60 g pure alcohol per day and former drinkers were 86.7 (60.7, 112.6) and 48.9 (23.1, 74.8) compared with less than weekly drinkers. The cumSBP in participants who ate red meat less than weekly was 29.4 (12.0, 46.8) higher than those who ate red meat daily. The corresponding differences of cumSBP were 127.8 (120.7, 134.9) and 70.2 (65.0, 75.3) for BMI per 5 kg/m 2 and WC per 10 cm. Most of the findings of other BPC measures by baseline characteristics were similar to the cumBP, but the differences between groups were somewhat weaker. Alcohol drinking was associated with several high-risk trajectories of SBP and DBP. Both BMI and WC were independently associated with all high-risk blood pressure trajectories. CONCLUSIONS Several traditional CVD risk factors were associated with unfavorable long-term BPC or blood pressure trajectories in Chinese adults.
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Affiliation(s)
- Yiqian Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Qiufen Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Yuanjie Pang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Xiaoming Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Xiaofang Chen
- Chengdu Medical College, Chengdu, Sichuan 610500, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University
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Zhang Y, Ding Y, Yu C, Sun D, Pei P, Du H, Yang L, Chen Y, Schmidt D, Avery D, Chen J, Chen J, Chen Z, Li L, Lv J. Predictive value of 8-year blood pressure measures in intracerebral hemorrhage risk over 5 years. Eur J Prev Cardiol 2024:zwae147. [PMID: 38629743 DOI: 10.1093/eurjpc/zwae147] [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: 02/18/2024] [Revised: 03/21/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024]
Abstract
AIMS The relationships between long-term blood pressure (BP) measures and intracerebral hemorrhage (ICH), as well as their predictive ability on ICH, were unclear. We aimed to investigate the independent associations of multiple BP measures with subsequent 5-year ICH risk, as well as the incremental value of these measures over a single-point BP measurement in ICH risk prediction. METHODS We included 12,398 participants from the China Kadoorie Biobank (CKB) who completed three surveys every four to five years. The following long-term BP measures were calculated: mean, minimum, maximum, standard deviation, coefficient of variation, average real variability, and cumulative BP exposure (cumBP). Cox proportional hazard models were used to examine the associations between these measures and ICH. The potential incremental value of these measures in ICH risk prediction was assessed using Harrell's C statistics, continuous net reclassification improvement (cNRI), and relative integrated discrimination improvement (rIDI). RESULTS The hazard ratios (95% confidence intervals) of incident ICH associated with per SD increase in cumSBP and cumDBP were 1.62 (1.25, 2.10) and 1.59 (1.23, 2.07), respectively. When cumBP was added to the conventional 5-year ICH risk prediction model, the C-statistic change was 0.009 (-0.001, 0.019), the cNRI was 0.267 (0.070, 0.464), and the rIDI was 18.2% (5.8%, 30.7%). Further subgroup analyses revealed a consistent increase in cNRI and rIDI in men, rural residents, and participants without diabetes. Other long-term BP measures showed no statistically significant associations with incident ICH and generally did not improve model performance. CONCLUSION The nearly 10-year cumBP was positively associated with an increased 5-year risk of ICH and could significantly improve risk reclassification for the ICH risk prediction model that included single-point BP measurement.
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Affiliation(s)
- Yiqian Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yinqi Ding
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Dan Schmidt
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Daniel Avery
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Jianwei Chen
- Liuyang Centers for Disease Control and Prevention, Liuyang, Changsha, Hunan, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University
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Halder M, Kasemi N, Majumder M. Tobacco use and its associated factors among middle and old-aged women in India using LASI wave-1 data. PLoS One 2024; 19:e0298663. [PMID: 38442117 PMCID: PMC10914294 DOI: 10.1371/journal.pone.0298663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/29/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Despite a global decline in tobacco use reported by the Global Adult Tobacco Survey (GATS), India stands out for its high number of tobacco users. While research in India often focuses on tobacco use among young adults, there's a notable lack of studies addressing tobacco use among middle and old-aged women. However, the national prevalence of tobacco use among middle and old-aged (45 years and above) women in India is 18.2%. Thus, this study seeks to identify the factors influencing tobacco consumption among middle and old-aged women in the country. METHODS The study has utilized secondary data from Longitudinal Aging Study in India (LASI) conducted in 2017-18. This study exclusively included a total of 38,180 middle and old-aged women who reported tobacco use. The analysis encompassed the utilization of Chi-square tests and Binary logistic regression to pinpoint the risk factors linked to tobacco use among middle and old-aged women. RESULTS Our study reveals a heightened likelihood of tobacco use among middle and old-aged women residing in the northeastern region of India. The study underscores the imperative to direct targeted efforts toward middle and old-aged women who fall into specific categories, including those who are widowed, separated, or unmarried, individuals who consume alcohol, those with lower socioeconomic and educational standings, residents of rural areas, those living in solitude, individuals experiencing depressive symptoms, and those who self-report poor health. CONCLUSION Given the heightened susceptibility of these demographic groups to tobacco use, it is crucial to prioritize tobacco prevention and cessation initiatives specifically tailored to their needs and circumstances.
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Król-Kulikowska M, Urbanowicz I, Kepinska M. The Concentrations of Interleukin-6, Insulin, and Glucagon in the Context of Obesity and Type 2 Diabetes and Single Nucleotide Polymorphisms in IL6 and INS Genes. J Obes 2024; 2024:7529779. [PMID: 38250713 PMCID: PMC10798838 DOI: 10.1155/2024/7529779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/11/2023] [Accepted: 12/30/2023] [Indexed: 01/23/2024] Open
Abstract
Obesity and diabetes are a problem of modern medicine. Although the environmental factors contributing to the development of these diseases are widely known, research into genetic factors is still ongoing. At the same time, the role of inflammation in the pathophysiology of obesity and diabetes is increasingly emphasized. Therefore, the purpose of this study was to investigate the influence of two selected polymorphisms (rs1800795 and rs3842729) on the development of obesity and type 2 diabetes. In this study, 118 participants were examined, including a control group (nonobese and nondiabetic group), an obese group, and a diabetic group. Genotype analysis was performed using the PCR-RFLP method. It has been shown that in patients with the G/G genotype within the rs1800795 polymorphism (IL6), the chance of developing type 2 diabetes is several times lower compared to patients with the G/C and C/C genotypes. However, the rs3842729 polymorphism (INS) does not directly affect the risk of obesity or type 2 diabetes (T2D), although elevated insulin concentrations have been observed in obese and diabetic patients. These results confirm the impact of the rs1800795 polymorphism on the development of diabetes; however, this relationship is more complex and requires further research on other factors.
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Affiliation(s)
- Magdalena Król-Kulikowska
- Department of Pharmaceutical Biochemistry, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw 50-556, Poland
| | - Iwona Urbanowicz
- Department of Clinical Chemistry and Laboratory Hematology, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw 50-556, Poland
| | - Marta Kepinska
- Department of Pharmaceutical Biochemistry, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw 50-556, Poland
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Yoo JE, Jeong SM, Lee KN, Lee H, Yoon JW, Han K, Shin DW. Smoking Behavior Change and the Risk of Heart Failure in Patients With Type 2 Diabetes: Nationwide Retrospective Cohort Study. JMIR Public Health Surveill 2024; 10:e46450. [PMID: 38198206 PMCID: PMC10809165 DOI: 10.2196/46450] [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: 02/12/2023] [Revised: 09/18/2023] [Accepted: 11/28/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Heart failure (HF) is one of the most common initial manifestations of cardiovascular disease in patients with type 2 diabetes. Although smoking is an independent risk factor for HF, there is a lack of data for the incidence of HF according to changes in smoking behaviors in patients with type 2 diabetes. OBJECTIVE We aimed to examine the association between interval changes in smoking behavior and the risk of HF among patients with type 2 diabetes. METHODS We conducted a retrospective cohort study using the National Health Insurance Service database. We identified 365,352 current smokers with type 2 diabetes who had 2 consecutive health screenings (2009-2012) and followed them until December 31, 2018, for the incident HF. Based on smoking behavior changes between 2 consecutive health screenings, participants were categorized into quitter, reducer I (≥50% reduction) and II (<50% reduction), sustainer (reference group), and increaser groups. RESULTS During a median follow-up of 5.1 (IQR 4.0-6.1) years, there were 13,879 HF cases (7.8 per 1000 person-years). Compared to sustainers, smoking cessation was associated with lower risks of HF (adjusted hazard ratio [aHR] 0.90, 95% CI0.86-0.95), whereas increasers showed higher risks of HF than sustainers; heavy smokers who increased their level of smoking had a higher risk of HF (aHR 1.13, 95% CI 1.04-1.24). In the case of reducers, the risk of HF was not reduced but rather increased slightly (reducer I: aHR 1.14, 95% CI 1.08-1.21; reducer II: aHR 1.03, 95% CI 0.98-1.09). Consistent results were noted for subgroup analyses including type 2 diabetes severity, age, and sex. CONCLUSIONS Smoking cessation was associated with a lower risk of HF among patients with type 2 diabetes, while increasing smoking amount was associated with a higher risk for HF than in those sustaining their smoking amount. There was no benefit from reduction in smoking amount.
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Affiliation(s)
- Jung Eun Yoo
- Department of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Su-Min Jeong
- Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyu Na Lee
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Heesun Lee
- Division of Cardiology, Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji Won Yoon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Dong Wook Shin
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Science & Technology, Sungkyunkwan University, Seoul, Republic of Korea
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Zhang M, Liu XY, Deng YL, Liu C, Zeng JY, Miao Y, Wu Y, Li CR, Li YJ, Liu AX, Zhu JQ, Zeng Q. Associations between urinary biomarkers of exposure to disinfection byproducts and semen parameters: A repeated measures analysis. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132638. [PMID: 37774606 DOI: 10.1016/j.jhazmat.2023.132638] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/22/2023] [Accepted: 09/25/2023] [Indexed: 10/01/2023]
Abstract
Toxicological studies have demonstrated that disinfection byproducts (DBPs), particularly haloacetic acids, cause testicular toxicity. However, evidence from human studies is sparse and inconclusive. This study included 1230 reproductive-aged men from the Tongji Reproductive and Environmental (TREE) cohort to investigate the associations between repeated measures of DBP exposures and semen parameters. Urinary dichloroacetic acid (DCAA) and trichloroacetic acid (TCAA) as biomarkers of DBP exposures and semen parameters in up to three samples from each man were assessed. The linear mixed effect models were applied to explore the associations between urinary biomarkers of DBP exposures and semen parameters. We found inverse associations of urinary DCAA with sperm count, progressive motility, and total motility (e.g., -14.86%; 95% CI: -19.33%, -10.15% in sperm total motility for the highest vs. lowest quartiles; all P for trends < 0.05). Moreover, urinary TCAA modeled as a continuous variable was negatively associated with sperm progressive motility and total motility, while the inverse associations across increasing urinary TCAA quartiles were seen among leaner men (BMI < 25 kg/m2). Exposure to DBPs reflected by urinary DCAA and TCAA was inversely associated with sperm motility and such effects were more evident among leaner men.
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Affiliation(s)
- Min Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Xiao-Ying Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Yan-Ling Deng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Chong Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Jia-Yue Zeng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Yu Miao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Yang Wu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Cheng-Ru Li
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Yang-Juan Li
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - A-Xue Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Jin-Qin Zhu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
| | - Qiang Zeng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
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9
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Darville A, Ekhlaspour L, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S77-S110. [PMID: 38078584 PMCID: PMC10725816 DOI: 10.2337/dc24-s005] [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] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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10
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Chan KH, Xiao D, Zhou M, Peto R, Chen Z. Tobacco control in China. Lancet Public Health 2023; 8:e1006-e1015. [PMID: 38000880 DOI: 10.1016/s2468-2667(23)00242-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/15/2023] [Accepted: 09/28/2023] [Indexed: 11/26/2023]
Abstract
Chinese men consume around 40% of the world's cigarettes, causing a substantial and growing burden of tobacco-attributed death and disease. In 2005, the Chinese Government ratified the WHO Framework Convention on Tobacco Control, and tobacco control measures have since increased nationwide. To assess tobacco control progress, obstacles, and opportunities, this Review describes the long-term evolution of cigarette consumption and the associated disease burden in mainland China, and the implementation of five important tobacco control strategies advocated by WHO. These strategies covered tobacco taxation; package warnings; advertising, promotion, and sponsorship bans; public smoking bans; and cessation services. Although only 2% of women in China now smoke, half of all adult men smoke cigarettes. By the 2010s, smoking accounted for about a fifth of all adult male deaths, and this proportion is rising, following a trajectory similar to that seen in the USA 40 years earlier. The self-regulating national tobacco monopoly and its influence on policy, the country's relatively low tobacco tax, and its weak package warnings and enforcement of other tobacco control strategies all highlight challenges in tobacco control. However, these challenges can also provide opportunities to discourage smoking initiation in young women and encourage cessation in men, assisting China's long march towards better health.
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Affiliation(s)
- Ka Hung Chan
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Oxford British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, UK
| | - Dan Xiao
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China; Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Richard Peto
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
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11
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Yuan S, Song C, He J, Zhang R, Bian X, Song W, Dou K. Trends in cardiovascular risk factors control among US adults by glycemic statuses, 2007-2018. Eur J Prev Cardiol 2023; 30:1513-1523. [PMID: 36929777 DOI: 10.1093/eurjpc/zwad080] [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: 01/22/2023] [Revised: 03/08/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023]
Abstract
AIMS Understanding the national trends in cardiovascular risk factors control of individuals with prediabetes and diabetes is critical for diabetes prevention and management. Our study aims to estimate how cardiovascular risk factors changed in US adults with different glycemic statuses between 2007-2008 and 2017-2018. METHODS AND RESULTS This was a serial cross-sectional study based on the National Health and Nutrition Examination Surveys (between 2007-2008 and 2017-2018 cycle). Non-pregnant American participants aged 20 years or older were included. Cardiovascular risk factors including weight, blood pressure, plasma cholesterol, and smoking by glycemic statuses were estimated. A total of 33 040 American adults were included. From 2007-2008 to 2017-2018, the age-adjusted proportions of individuals who reached weight control (body mass index <30 kg/m2) of both normoglycemia group and prediabetes group had a significant decrease over the study period, while the trend in participants with diabetes was not significant (mean difference: -5.34%, 95% confidence interval: -15.28%, 4.59%; P for trend = 0.298). The age-adjusted means of total cholesterol of all three groups decreased during the study decade (P for trend < 0.010), with participants with diabetes maintaining the lowest level. Individuals with high total cholesterol were more likely to receive statin therapy in the diabetes group. Notably, prediabetes participants had the highest level of total cholesterol and low-density lipoprotein cholesterol and were less likely to achieve lipid control with statin therapy. Sensitivity analysis with the second definition of prediabetes and diabetes resulted in a consistent trend. CONCLUSIONS In this nationally representative cross-sectional study, we systematically estimated the cardiovascular risk factors control in American adults and found poor weight control in the normoglycemia and prediabetes group. Despite the significant decrease trend of plasma total cholesterol in all groups, the high cholesterol level in the prediabetes group deserves special concern.
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Affiliation(s)
- Sheng Yuan
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
| | - Chenxi Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
| | - Jining He
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
| | - Rui Zhang
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
| | - Xiaohui Bian
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
| | - Weihua Song
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167, Beilishi Road, Xicheng District, Beijing 100037, China
- State Key Laboratory of Cardiovascular Disease, Shilongxi Road, Mentougou District, Beijing 102308, China
- National Clinical Research Center for Cardiovascular Diseases, Shilongxi Road, Mentougou District, Beijing 102308, China
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12
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Chen Y, Xu L, Cheng Z, Zhang D, Yang J, Yin C, Li S, Li J, Hu Y, Wang Y, Liu Y, Wang Z, Zhang L, Chen R, Dou Q, Bai Y. Progression from different blood glucose states to cardiovascular diseases: a prospective study based on multi-state model. Eur J Prev Cardiol 2023; 30:1482-1491. [PMID: 37315161 DOI: 10.1093/eurjpc/zwad196] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/17/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
AIMS To quantify the trajectories from normoglycaemia to pre-diabetes, subsequently to type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and cardiovascular death, and the effects of risk factors on the rates of transition. METHODS AND RESULTS We used data from the Jinchang Cohort of 42 585 adults aged 20-88 free of coronary heart disease (CHD) and stroke at baseline. A multistate model was applied for analysing the progression of CVD and its relation to various risk factors. During a median follow-up of 7 years, 7498 participants developed pre-diabetes, 2307 developed T2DM, 2499 developed CVD, and 324 died from CVD. Among 15 postulated transitions, transition from comorbid CHD and stroke to cardiovascular death had the highest rate (157.21/1000 person-years), followed by transition from stroke alone to cardiovascular death (69.31/1000 person-years) and transition from pre-diabetes to normoglycaemia (46.51/1000 person-years). Pre-diabetes had a sojourn time of 6.77 years, and controlling weight, blood lipids, blood pressure, and uric acid within normal limits may promote reversion to normoglycaemia. Among transitions to CHD alone and stroke alone, transition from T2DM had the highest rate (12.21/1000 and 12.16/1000 person-years), followed by transition from pre-diabetes (6.81/1000 and 4.93/1000 person-years) and normoglycaemia (3.28/1000 and 2.39/1000 person-years). Age and hypertension were associated with an accelerated rate for most transitions. Overweight/obesity, smoking, dyslipidaemia, and hyperuricaemia played crucial but different roles in transitions. CONCLUSION Pre-diabetes was the optimal intervention stage in the disease trajectory. The derived transition rates, sojourn time, and influence factors could provide scientific support for the primary prevention of both T2DM and CVD.
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Affiliation(s)
- Yarong Chen
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Lulu Xu
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Zhiyuan Cheng
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 xueyuan Street, Shenzhen, Guangdong 518055, China
| | - Desheng Zhang
- Workers' Hospital of Jinchuan Corporation, Jinchuan Group CO., LTD, 53 Beijing Road, Jinchang, Gansu 737100, China
| | - Jingli Yang
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Chun Yin
- Workers' Hospital of Jinchuan Corporation, Jinchuan Group CO., LTD, 53 Beijing Road, Jinchang, Gansu 737100, China
| | - Siyu Li
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Jing Li
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Yujia Hu
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Yufeng Wang
- Workers' Hospital of Jinchuan Corporation, Jinchuan Group CO., LTD, 53 Beijing Road, Jinchang, Gansu 737100, China
| | - Yanyan Liu
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Zhongge Wang
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Lizhen Zhang
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Ruirui Chen
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Qian Dou
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
| | - Yana Bai
- Institution of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, Gansu 730000, China
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Zheng X, Hao X, Li W, Ding Y, Yu T, Wang X, Li S. Dissecting the mediating and moderating effects of depression on the associations between traits and coronary artery disease: A two-step Mendelian randomization and phenome-wide interaction study. Int J Clin Health Psychol 2023; 23:100394. [PMID: 37701760 PMCID: PMC10493261 DOI: 10.1016/j.ijchp.2023.100394] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 07/02/2023] [Indexed: 09/14/2023] Open
Abstract
Background Depression is often present concurrently with coronary artery disease (CAD), a disease with which it shares many risk factors. However, the manner in which depression mediates and moderates the association between traits (including biomarkers, anthropometric indicators, lifestyle behaviors, etc.) and CAD is largely unknown. Methods In our causal mediation analyses using two-step Mendelian randomization (MR), univariable MR was first used to investigate the causal effects of 108 traits on liability to depression and CAD. The traits with significant causal effects on both depression and CAD, but not causally modulated by depression, were selected for the second-step analyses. Multivariable MR was used to estimate the direct effects (independent of liability to depression) of these traits on CAD, and the indirect effects (mediated via liability to depression) were calculated. To investigate the moderating effect of depression on the association between 364 traits and CAD, a cross-sectional phenome-wide interaction study (PheWIS) was conducted in a study population from UK Biobank (UKBB) (N=275,257). Additionally, if the relationship between traits and CAD was moderated by both phenotypic and genetically predicted depression at a suggestive level of significance (Pinteraction≤0.05) in the PheWIS, the results were further verified by a cohort study using Cox proportional hazards regression. Results Univariable MR indicated that 10 of 108 traits under investigation were significantly associated with both depression and CAD, which showed a similar direct effect compared to the total effect for most traits. However, the traits "drive faster than speed limit" and "past tobacco smoking" were both exceptions, with the proportions mediated by depression at 24.6% and 7.2%, respectively. In the moderation analyses, suggestive evidence of several traits was found for moderating effects of phenotypic depression or susceptibility to depression, as estimated by polygenic risk score, including chest pain when hurrying, reason of smoking quitting and weight change. Consistent results were observed in survival analyses and Cox regression. Conclusion The independent role of traits in CAD pathogenesis regardless of depression was highlighted in our mediation analyses, and the moderating effects of depression observed in our study may be helpful for CAD risk stratification and optimized allocation of scarce medical resources.
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Affiliation(s)
- Xiangying Zheng
- Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Xuezeng Hao
- Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Weixin Li
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yining Ding
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Tingting Yu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Xian Wang
- Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China
- Institute of Cardiovascular Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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Li B, Zhu G, Kang P, Chen J, He K, Wang X, Gao T, Li C, Li S. Influences of vitiligo-associated characteristics on the occurrence of diabetes mellitus: Interactive analysis of a cross-sectional study. Exp Dermatol 2023; 32:1805-1814. [PMID: 37584091 DOI: 10.1111/exd.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: 12/16/2022] [Revised: 07/02/2023] [Accepted: 07/24/2023] [Indexed: 08/17/2023]
Abstract
The risk of diabetes mellitus (DM) in vitiligo patients is higher than that in non-vitiligo population. Our goal was to explore the influencing factors for DM in vitiligo patients. A matched-pair design of 107 cases with DM and 428 controls without DM was conducted among vitiligo patients in Xijing hospital from January 2010 to October 2021. The baseline characteristics of patients were analysed based on standard descriptive statistics. The vitiligo-associated characteristics were analysed by logistic regression to identify influencing factors of DM. Interaction analysis was performed to explore the additive interactions between vitiligo-associated characteristics and baseline characteristics. After adjustment for the baseline characteristics, the severity of vitiligo [odds ratio (OR) = 2.47, 95% confidence interval (CI): 1.47-4.14] and onset age of vitiligo (OR = 0.98, 95% CI: 0.97-0.99) had a significant correlation with occurrence of DM. The severity of vitiligo had additive interaction with family history of diabetes [relative excess risk due to interaction (RERI) = 132.51 (95% CI: 5.51-1100.20), attributable proportion (AP) = 0.91 (95% CI: 0.17-0.95), synergy index (S) = 11.53 (95% CI: 1.32-100.5)] and with smoking history [RERI = 6.54 (95% CI: 0.67-19.83), AP = 0.64 (95% CI: 0.04-0.80), S = 3.48 (95% CI: 1.17-10.36)]. Earlier onset age of vitiligo and greater BSA involvement might be two independent risk factors for DM in vitiligo patients. Interaction assessment identified the severity of vitiligo as additive interaction factors with diabetes family history and with smoking history for the DM occurrence.
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Affiliation(s)
- Baizhang Li
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Guannan Zhu
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Pan Kang
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Jianru Chen
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Kaiqiao He
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Xinju Wang
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Tianwen Gao
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Chunying Li
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
| | - Shuli Li
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University Xi'an, Shaanxi, China
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15
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Tian Z, Fan Y, Sun X, Wang D, Guan Y, Zhang Y, Zhang Z, Guo J, Bu H, Wu Z, Wang H. Predictive value of TCM clinical index for diabetic peripheral neuropathy among the type 2 diabetes mellitus population: A new observation and insight. Heliyon 2023; 9:e17339. [PMID: 37389043 PMCID: PMC10300217 DOI: 10.1016/j.heliyon.2023.e17339] [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: 12/08/2022] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 07/01/2023] Open
Abstract
Aims The objectives of this study were to identify clinical predictors of the Traditional Chinese medicine (TCM) clinical index for diabetic peripheral neuropathy (DPN) in type 2 diabetes mellitus (T2DM) patients, develop a clinical prediction model, and construct a nomogram. Methods We collected the TCM clinical index from 3590 T2DM recruited at the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine from January 2019 to October 2020. The participants were randomly assigned to either the training group (n = 3297) or the validation group (n = 1426). TCM symptoms and tongue characteristics were used to assess the risk of developing DPN in T2DM patients. Through 5-fold cross-validation in the training group, the least absolute shrinkage and selection operator (LASSO) regression analysis method was used to optimize variable selection. In addition, using multifactor logistic regression analysis, a predictive model and nomogram were developed. Results A total of eight independent predictors were found to be associated with the DPN in multivariate logistic regression analyses: advanced age of grading (odds ratio/OR 1.575), smoke (OR 2.815), insomnia (OR 0.557), sweating (OR 0.535), loose teeth (OR 1.713), dry skin (OR 1.831), purple tongue (OR 2.278). And dark red tongue (OR 0.139). The model was constructed using these eight predictor's medium discriminative capabilities. The area under the curve (AUC) of the training set is 0.727, and the AUC of the validation set is 0.744 on the ROC curve. The calibration plot revealed that the model's goodness-of-fit is satisfactory. Conclusions We established a TCM prediction model for DPN in patients with T2DM based on the TCM clinical index.
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Affiliation(s)
- Zhikui Tian
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yadong Fan
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210004, China
| | - Xuan Sun
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Dongjun Wang
- College of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, 063000, China
| | - Yuanyuan Guan
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Ying Zhang
- Fengnan District Hospital of Traditional Chinese Medicine, Tangshan, 063000, China
| | - Zhaohui Zhang
- Surgery of TCM, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, 301617, China
| | - Jing Guo
- Surgery of TCM, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, 301617, China
| | - Huaien Bu
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Zhongming Wu
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Hongwu Wang
- School of Health Sciences and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
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Bakir B, Çalapkorur S. Relationship between nutritional status and anxiety and depression in hospitalized diabetic patients in Turkey. Int J Psychiatry Med 2023:912174231164289. [PMID: 36914586 DOI: 10.1177/00912174231164289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
BACKGROUND Anxiety and depression often coexist in patients with chronic diseases. We evaluated the nutritional status of diabetic patients and its relationship with anxiety and depression. METHODS Demographic, diabetic information (disease duration, treatment, hospitalization) information and anthropometric measurements (weight, height, waist, and hip circumference) were recorded. The Hospital Anxiety and Depression Scale (HADS) was used to assess anxiety and depression. 24-h food records were obtained to determine daily energy and nutrient intake. RESULTS In this study of 222 patients, the rates of anxiety, depression and anxious depression were 23.8%, 21.6%, 12.2%, respectively. Those who skipped medication/insulin doses and did not exercise regularly had significantly higher anxiety and depression scores. Anxiety and depression scores were positively correlated with disease duration, waist circumference, waist/hip, and waist/height. Being married, engaging in regular exercise, and increased vitamin B6 consumption were inversely related to anxiety and depression. According to food records, patients with anxiety and depression have a higher proportion of energy from dietary carbohydrates. Anxiety and depression scores were negatively related to dietary energy, protein, fat, some vitamin (retinol, group B, C, and D), and mineral (K, Mg, P, Fe, Zn, Cu) intake. CONCLUSIONS Maintaining healthy body weight, compliance with medication/insulin treatment, and regular exercise may help in the prevention of anxiety and depression in hospitalized diabetic patients. Alternatively, anxiety and depression may adversely affect body weight, compliance with treatment, and engaging in regular exercise. Prospective studies are needed to determine the direction of causality.
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Affiliation(s)
- Buse Bakir
- Department of Nutrition and Dietetics, Faculty of Health Sciences, İzmir Kâtip Çelebi University, İzmir, Turkey
| | - Sema Çalapkorur
- Department of Nutrition and Dietetics, Faculty of Health Sciences, 52958Erciyes University, Kayseri, Turkey
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Young-Hyman D, Gabbay RA, on behalf of the American Diabetes Association. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S68-S96. [PMID: 36507648 PMCID: PMC9810478 DOI: 10.2337/dc23-s005] [Citation(s) in RCA: 140] [Impact Index Per Article: 140.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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18
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Sia HK, Kor CT, Tu ST, Liao PY, Wang JY. Association between smoking and glycemic control in men with newly diagnosed type 2 diabetes: a retrospective matched cohort study. Ann Med 2022; 54:1385-1394. [PMID: 35576130 PMCID: PMC9126565 DOI: 10.1080/07853890.2022.2075559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Longitudinal data on the association between smoking and glycemic control in men with newly diagnosed type 2 diabetes (T2DM) is scarce. Therefore, this study aimed to examine the extent of the association between smoking and glycemic control in this population. METHODS The retrospective cohort study identified 3044 eligible men with T2DM in a medical centre in Taiwan between 2002 and 2017. Smokers (n = 757) were matched 1:1 with non-smokers using propensity score-matching. All of them were followed for one year. Glycated haemoglobin (HbA1c) levels were measured at 0, 3, 6, 9, and 12 months after enrolment. Generalised estimating equations were used to assess smoking status-by-time interaction to determine the difference in HbA1c reduction between the two cohorts. All analyses were performed in 2020. RESULTS The estimated maximal difference in HbA1c reduction between smokers and non-smokers was 0.33% (95% CI, 0.05-0.62%) at 3 months of follow-up. For patients with body mass index (BMI) <25 kg/m2, the difference in HbA1c reduction between smokers and non-smokers was much larger (0.74%, 95% CI, 0.35-1.14%) than in those with a higher BMI. CONCLUSIONS Our findings show that smoking was independently associated with unfavourable glycemic control among men with newly diagnosed T2DM, and such a detrimental association could be stronger in men with a lower BMI.
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Affiliation(s)
- Hon-Ke Sia
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.,Department of Healthcare Administration, Asia University, Wufeng, Taiwan.,Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.,School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chew-Teng Kor
- Internal Medicine Research Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Shih-Te Tu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Pei-Yung Liao
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan
| | - Jiun-Yi Wang
- Department of Healthcare Administration, Asia University, Wufeng, Taiwan.,Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
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Song J, Jin C, Cheng X. The association between cigarette smoking and health care service utilization among middle-aged and elderly adults in China. Front Public Health 2022; 10:952357. [PMID: 36408002 PMCID: PMC9667111 DOI: 10.3389/fpubh.2022.952357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/17/2022] [Indexed: 11/07/2022] Open
Abstract
Objective To assess the associations between tobacco use and health care service utilization in Chinese individuals aged more or equal to 40 years old. Method This research was a cross-sectional study using data from eight provinces in China, and the final sample consisted of 4,733 observations (4,749 participants) aged more or equal to 40 years old. The dependent variable was health care utilization measured by outpatient and inpatient service utilization. Descriptive statistics were used to summarize the socio-demographic characteristics of the sample according to smoking status. The association between tobacco use and health care service utilization was examined by an instrumental variable (IV) probit model. Results Of the respondents interviewed in 2020, 3,116 (65.84%) were never smokers, 654 (13.82%) were smokers with the smoking index (SI) <400, and 963(20.34%) were smokers with SI≥400. Smokers with SI <400 reported a 6.80% higher probability of using outpatient services. Smokers with SI <400 and SI≥400 reported a 3.10 and 4.20% higher average probability of using ≥3 outpatient visits than never smokers, respectively. Additionally, smokers with SI <400 and SI≥400 reported a 6.30 and 6.20% higher average probability of using inpatient services than those who had not smoked. Moreover, smokers with SI≥400 were more likely to have had ≥2 hospital visits than nonsmokers. Conclusions Smokers make greater use of health care services. Control of smoking may ease the burden of related health care utilization.
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Affiliation(s)
- Jiarui Song
- School of Social Development and Public Policy, Beijing Normal University, Beijing, China
| | - Chenggang Jin
- Research Center for Health and Social Policy, Beijing Normal University, Zhuhai, China
| | - Xi Cheng
- School of Social Development and Public Policy, Beijing Normal University, Beijing, China,*Correspondence: Xi Cheng
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20
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Zhong J, Liu L, Zhang L, Xu Z, Peng L, Zhao X, Yang Q, Yang T, Xu D, Hong F. Association of Urinary Zinc Concentrations with Dyslipidemia and Its Subtypes: Baseline Data from the Chinese Multi-Ethnic Cohort (CMEC) Study. Biol Trace Elem Res 2022:10.1007/s12011-022-03454-6. [PMID: 36284051 DOI: 10.1007/s12011-022-03454-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/17/2022] [Indexed: 11/02/2022]
Abstract
This study elucidates the association between urinary zinc concentration and the risk of developing dyslipidemia and its subtypes in China's ethnic minority residents. Based on the baseline survey data of the Chinese Multi-Ethnic Cohort (CMEC) study, 10,620 subjects were included in the study. Logistic regression analysis evaluated the relationship between urinary zinc concentration and dyslipidemia and its subtypes. After adjustment, compared with urinary zinc concentration quartile 1 (Q1), the odds ratios (ORs) and 95% confidence intervals (95% CIs) of dyslipidemia participants in the quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4) groups were 1.091 (0.963, 1.237), 1.151 (1.051, 1.304), and 1.393 (1.230, 1.579), respectively (P for trend < 0.001). While that of hypertriglyceridemia participants in the Q2, Q3, and Q4 groups were 1.130 (0.979, 1.306), 1.283 (1.113, 1.480), and 1.483 (1.287, 1.709), respectively (P for trend < 0.001). Lastly, the ORs and 95% CIs of hyperbetalipoproteinemia participants in the Q2, Q3, and Q4 groups were 1.166 (0.945, 1.439), 1.238 (1.007, 1.522), and 1.381 (1.126, 1.695), respectively (P for trend < 0.002). This study found that urinary zinc concentrations were not associated with hypercholesterolemia and hypoalphalipoproteinemia. The dose-response relationship was non-linear between urinary zinc concentration and dyslipidemia, hypertriglyceridemia and hyperbetalipoproteinemia (P for trend < 0.001). In the stratified analysis, urinary zinc levels were positively associated with the risk of dyslipidemia, hypertriglyceridemia, and hyperbetalipoproteinemia in male, ≥ 60 years old, Miao nationality, hypertension, diabetes, and BMI ≥ 24.0 kg/m2 subgroups. Our study provides some possible evidence that elevated urinary zinc concentrations are associated with an increased risk of dyslipidemia, hypertriglyceridemia, hyperbetalipoproteinemia.
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Affiliation(s)
- Jianqin Zhong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Leilei Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Linyuan Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Zixuan Xu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Lian Peng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Xiaolan Zhao
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Qianyuan Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Tingting Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Degan Xu
- Guiyang Center for Disease Control and Prevention, Guiyang, 550003, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
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21
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Wang H, Chen L, Cao Y, Xie K, Wang C, Pei P, Guo Y, Bragg F, Yu M, Chen Z, Li L. Association between frequency of dairy product consumption and hypertension: a cross-sectional study in Zhejiang Province, China. Nutr Metab (Lond) 2022; 19:67. [PMID: 36180916 PMCID: PMC9526303 DOI: 10.1186/s12986-022-00703-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Hypertension, a well-known risk factor, contributes to millions of deaths from cardiovascular and renal diseases worldwide. However, evidence on the association between frequency of dairy product consumption and hypertension is inconsistent. METHODS The data for the present study are from the Tongxiang baseline dataset of the China Kadoorie Biobank prospective study. A total of 53,916 participants aged 30-79 years were included in the final analysis. Multivariable logistic regression was utilized to evaluate the association of dairy product consumption with hypertension, and multiple linear regression was conducted to assess the association of dairy product consumption with systolic and diastolic blood pressure. RESULTS Of the 53,916 participants, 2.6% reported consuming dairy products weekly, and 44.4% had prevalent hypertension. After adjusting for socio-demographic status, lifestyle factors, BMI, waist circumference, sleep duration and snoring, when compared with participants who never consumed dairy products, the odds ratios (95% CI) for hypertension among those consuming dairy products less than once per week, and ≥ 1 time per week were 0.85 (0.77-0.95) and 0.74 (0.65-0.84), respectively. The corresponding odds ratios (95% CI) for men were 0.85 (0.71-1.02) and 0.75 (0.61-0.92), respectively (Ptrend = 0.001), and for women were 0.88 (0.76-1.01) and 0.77 (0.65-0.91), respectively. (Ptrend < 0.001). CONCLUSIONS In this large epidemiological study, higher frequency of dairy product consumption is associated with significantly lower odds of hypertension among Chinese adults.
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Affiliation(s)
- Hao Wang
- grid.433871.aDepartment of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, #3399 Binsheng road, Binjiang District, Hangzhou, Zhejiang Province China
| | - Lingli Chen
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Yuan Cao
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Kaixu Xie
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Chunmei Wang
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Pei Pei
- grid.11135.370000 0001 2256 9319Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Yu Guo
- grid.415105.40000 0004 9430 5605National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Fiona Bragg
- grid.4991.50000 0004 1936 8948Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- grid.4991.50000 0004 1936 8948Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Min Yu
- grid.433871.aDepartment of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, #3399 Binsheng road, Binjiang District, Hangzhou, Zhejiang Province China
| | - Zhengming Chen
- grid.4991.50000 0004 1936 8948Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- grid.4991.50000 0004 1936 8948Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- grid.11135.370000 0001 2256 9319Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- grid.11135.370000 0001 2256 9319Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
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22
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Wang D, Qiang D, Xu W, Wang J, Liu J, Qin Y, Zhang Y, Liu Q, Xiang Q. Smoking causes the disorder of glucose metabolism under different levels of blood pressure in male occupational population. J Clin Hypertens (Greenwich) 2022; 24:1276-1284. [PMID: 35942933 PMCID: PMC9581103 DOI: 10.1111/jch.14557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/19/2022] [Accepted: 07/23/2022] [Indexed: 11/30/2022]
Abstract
Smoking is an important modifiable factor in the risk of type 2 diabetes. Type 2 diabetes and hypertension overlap in the population. The present study investigated effects of smoking on glucose metabolism under different blood pressure (BP) levels in occupational population. A smoking survey among occupational groups was conducted in 2018. The general linear model was used to analyze the differences of glucose metabolism indexes and BP indexes influenced by different smoking intensity (never 0, mild <10, moderate <20, heavy ≥20 pack‐years). Odds ratios of developing diabetes and β‐cell deficiency were analyzed by using logistic regression model. BP was further taken into account in the relationship between smoking and glucose metabolism. As a result, 1730 male workers aged 21 to 60 years were included in the analysis finally. Compared to never smokers, heavy smokers had significantly increased fasting plasma glucose. Moderate and above smokers had significantly increased glycosylated hemoglobin, decreased fasting plasma insulin and β‐cell function, after adjustment for covariates. Further, smoking intensity was found to have a dose‐dependent relationship with impaired β‐cell function and diabetes. In conclusion, smoking has a positive dose‐dependent relationship with β‐cell deficiency and diabetes. Male smoking workers, especially the moderate or higher smoking, with high‐normal and high BP levels are at high risk of abnormal glucose metabolism.
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Affiliation(s)
- Dan Wang
- School of Public Health, Southeast University, Nanjing, China
| | - Deren Qiang
- Department of Chronic Non-communicable Disease Control, Wujin District Center for Disease Control and Prevention, Changzhou, China
| | - Wenchao Xu
- Department of Chronic Non-communicable Disease Control, Changzhou Center for Disease Control and Prevention, Changzhou, China
| | - Jiaqi Wang
- School of Public Health, Southeast University, Nanjing, China
| | - Jiali Liu
- School of Public Health, Southeast University, Nanjing, China
| | - Yu Qin
- Department of Chronic Non-communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yongqing Zhang
- Department of Chronic Non-communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qizhan Liu
- Center for Global Health, The Key Laboratory of Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Quanyong Xiang
- School of Public Health, Southeast University, Nanjing, China.,Department of Chronic Non-communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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23
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Richards SE, Wijeweera C, Wijeweera A. Lifestyle and socioeconomic determinants of diabetes: Evidence from country-level data. PLoS One 2022; 17:e0270476. [PMID: 35901054 PMCID: PMC9333224 DOI: 10.1371/journal.pone.0270476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 06/10/2022] [Indexed: 11/18/2022] Open
Abstract
Objective The objectives of the study is to investigate the global socioeconomic risk factors associated with diabetes prevalence using evidence from available country-level data. Design A cross-sectional study based on (2010 & 2019) countrywide Health Nutrition and Population Statistics data. Population People ages 20–79 who have diabetes. Setting One hundred and thirty-two countries or territories in the world. Primary outcome measure Diabetes prevalence rates were determined from (2010 & 2019) countrywide Health Nutrition and Population Statistics (Health Stats, World Bank Group). Results In 2010, a 1% increase in per capita income and total tobacco consumption is associated with a 0.92% (95% CI 0.64% to 1.19%) and 0.02% (95% CI 0.006% to 0.047%) increase in diabetes prevalence respectively; and a 1% increase in alcohol consumption is associated with a -0.85% (95% CI -1.17% to -0.53%) decrease in diabetes prevalence. Statistically significant socioeconomic and lifestyle indices positively associated with diabetes prevalence included gross national income; overweight prevalence (BMI>25 kg/m2); and tobacco consumption. Statistically significant inverse associations with global diabetes prevalence included total population size; unemployment and alcohol consumption. The 2019 data was removed due to sparsity of data. Conclusion Statistically significant global lifestyle and socioeconomic determinants of diabetes prevalence include alcohol consumption; tobacco consumption; overweight prevalence; per capita income; total population and unemployment rates. Determinants of diabetes include modifiable risk factors which are consistent at both the micro and macro level and include tobacco consumption and overweight prevalence. Factors which are non-modifiable and warrant further investigation include total population and unemployment rates, which were inversely associated with diabetes prevalence and are a product of other underlying factors. Other determinants such as alcohol consumption was also inversely associated with diabetes prevalence, but has been observed to have both negative and positive associations with diabetes at the micro-level. These associations were dependent upon the amount of alcohol consumed. Global cut-off point of alcohol consumption is critical to establish global policies to reduce diabetes prevalence. Overall, the use of cross-sectional based study for country level aggregate data is a critical tool that should be considered when making global joint strategies or policies against diabetes in both data analysis and decision making.
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Affiliation(s)
- Selena E. Richards
- Department of Chemistry, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- * E-mail:
| | - Chandana Wijeweera
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
| | - Albert Wijeweera
- Department of Humanities and Social Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
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24
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Wu L, Wang X, Dong JY, Zhao YT, Lou H. Smoking Cessation, Weight Gain, and Risk for Type 2 Diabetes: A Prospective Study. Int J Public Health 2022; 67:1604654. [PMID: 35496941 PMCID: PMC9046538 DOI: 10.3389/ijph.2022.1604654] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: To examine the association between smoking cessation and risk of type 2 diabetes with emphasis on post-cessation weight gain. Methods: In total, 8,951 participants from the China Health and Retirement Longitudinal Study at the baseline (2011) were included. Diabetes incidence was accessed at the third survey (2015). Current smokers were treated as the reference and odds ratios (OR) of type 2 diabetes for never smokers, recent, and long-term quitters were computed using multivariable logistic regression. Stratified analysis was further conducted by weight gain after smoking cessation. Results: There were 712 cases of type 2 diabetes identified. Compared with current smokers, the fully multivariable-adjusted ORs were 1.55 (1.02, 2.36) for recent quitters, 0.88 (0.61, 1.28) for long-term quitters, and 0.75 (0.59, 0.95) for never smokers. Stratified analysis showed recent quitters with weight gain of ≥2.0 kg had a significantly higher odds of type 2 diabetes [2.25 (1.02, 4.95)]. Conclusion: The present study of the Chinese population suggested recent quitters with weight gain of ≥2.0 kg, compared with current smokers, had a significantly increased odds of type 2 diabetes.
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Affiliation(s)
- Lin Wu
- Department of Medical College, Jinhua Polytechnic, JinHua, China
| | - Xiaowen Wang
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Jia-Yi Dong
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yan-Ting Zhao
- Chengdu Center for Disease and Prevention, Chengdu, China
| | - Hongqiang Lou
- Department of Medical College, Jinhua Polytechnic, JinHua, China
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25
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Xu L, Liu Y, Zhao Q, Du H, Gao Y, Bai M, Lv J, Guo Y, Li L, Sun L, Lin X, Chen Z, Chen Y, Zong G. Urinary element profiles and associations with cardiometabolic diseases: A cross-sectional study across ten areas in China. ENVIRONMENTAL RESEARCH 2022; 205:112535. [PMID: 34896320 DOI: 10.1016/j.envres.2021.112535] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/04/2021] [Accepted: 12/05/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Existing evidence on the associations of urinary element profiles with related food intake and cardiometabolic diseases has been limited in China. OBJECTIVES To examine the associations of urinary toxic metals and other elements with food intakes and with the prevalence of cardiometabolic diseases. METHODS Inductively coupled plasma mass spectrometry was used to measure the concentrations of cadmium (Cd), arsenic (As), nickel (Ni), aluminum (Al), copper (Cu), and 16 other elements in spot urine samples collected from 19,380 adults in 10 geographically diverse areas of China during 2013-2014. The levels of creatinine-corrected elements were used to analyze their correlations with self-reported dietary intake and associations with prevalent diabetes (n = 1862), stroke (n = 1322) and ischemic heart disease (IHD) (n = 1690). RESULTS Overall, the mean (SD) age was 59.2 (10.1) years with a mean BMI of 24.2 (3.5) kg/m2. Of the 21 elements, the median (IQR) concentrations varied from 0.49 (0.31-0.82) μg/g creatinine for vanadium (V) to 1666 (1189-2321) mg/g creatinine for potassium (K). Nine urinary elements [Cd, As, Ni, lead (Pb), boron (B), magnesium (Mg), rubidium (Rb), strontium (Sr), and cesium (Cs); all rs > 0.20, p < 0.001] were positively correlated with staple food intake, five [Cd, As, selenium (Se), Rb, and Cs; all rs > 0.20, p < 0.001] with animal-sourced food group, and one (Cd; r = 0.21, p < 0.05) with pickled vegetable intake. For diabetes, adjusted prevalence ratios (PRs) per SD of specific element levels were 1.10 [95% confidence interval (CI): 1.03-1.18] for Cd, 1.24 (1.18-1.31) for As, 1.33 (1.27-1.39) for Ni, 1.14 (1.09-1.20) for Al, and 1.24 (1.18-1.30) for Cu. Cd was positively associated with stroke (PR per SD = 1.13, 1.04-1.23), while none of the elements were significantly associated with IHD. CONCLUSION In China, the urinary levels of several toxic metals were significantly associated with the consumption of specific food groups and the risk of cardiometabolic diseases including diabetes and stroke.
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Affiliation(s)
- Lijiao Xu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China; University of Chinese Academy of Sciences, Beijing, 100864, China
| | - Yunan Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Qianyu Zhao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX37LF, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX37LF, UK
| | - Ying Gao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Meijuan Bai
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, 100191, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, 100191, China
| | - Liang Sun
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xu Lin
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX37LF, UK
| | - Yan Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China; University of Chinese Academy of Sciences, Beijing, 100864, China.
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
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26
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Yao P, Parish S, Bennett DA, Du H, Yang L, Chen Y, Guo Y, Yu C, Zhou G, Lv J, Li L, Chen Z, Clarke R. Gender differences in modifiable risk factors for hip fracture: 10-year follow-up of a prospective study of 0.5 million Chinese adults. J Intern Med 2022; 291:481-492. [PMID: 34875136 PMCID: PMC7612528 DOI: 10.1111/joim.13429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Little is known about the incidence rates and importance of major modifiable risk factors for hip and major osteoporotic fractures in low- and middle-income countries. We estimated the age- and sex-specific incidence of hip, major osteoporotic, and any fractures and their associated risk factors in Chinese adults. METHODS This was a prospective study of 512,715 adults, aged 30-79 years, recruited from 10 diverse areas in China from 2004 to 2008 and followed up for 10 years. Age- and sex-specific incidence rates were estimated, and Cox regression was used to yield adjusted hazard ratios (HRs) and population attributable fractions for risk factors. RESULTS The incidence rates of hip fracture in Chinese adults were 5.1 (95% confidence interval [CI] 5.0-5.3) per 10,000 person-years; they were higher in women than in men and increased by two- to threefold per 10-year older age. Among men, five risk factors for hip fracture, including low education (HR = 1.23; 95% CI 1.04-1.45), regular smoker (1.22, 1.03-1.45), lower weight (1.59, 1.34-1.88), alcohol drinker (1.18, 1.02-1.36), and prior fracture (1.62, 1.33-1.98), accounted for 44.3% of hip fractures. Among women, lower weight (1.30, 1.15-1.46), low physical activity (1.22, 1.10-1.35), diabetes (1.62, 1.41-1.86), prior fracture (1.54, 1.33-1.77), and self-rated poor health (1.29, 1.13-1.47) accounted for 24.9% of hip fractures. Associations of risk factors with major osteoporotic or any fractures were weaker than those with hip fractures. CONCLUSIONS The age- and sex-specific incidence rates of hip fracture in Chinese adults were comparable with those in Western populations. Five potentially modifiable factors accounted for half of the hip fractures in men and one quarter in women.
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Affiliation(s)
- Pang Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah Parish
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Derrick A Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China
| | - Canqing Yu
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing, China.,Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Gang Zhou
- NCDs Prevention and Control Department, Henan CDC, Henan, China
| | - Jun Lv
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing, China.,Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Liming Li
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing, China.,Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Zhang X, Hong F, Liu L, Nie F, Du L, Guan H, Wang Z, Zeng Q, Yang J, Wang J, Li X, Zhang J, Luo P. Lipid accumulation product is a reliable indicator for identifying metabolic syndrome: the China Multi-Ethnic Cohort (CMEC) Study. QJM 2022; 115:140-147. [PMID: 33367838 DOI: 10.1093/qjmed/hcaa325] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/13/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Previous studies have shown that lipid accumulation product (LAP) was associated with the risk of cardiometabolic disease. It is not clear whether LAP could be used as a marker to identify metabolic syndrome (MetS) among Chinese ethnic groups. AIM To assess the reliability of LAP as a maker to identify MetS among Dong adults. DESIGN Population-based cross-sectional study. METHOD We included 6494 Dong individuals (1403 patients) aged 30-79 years from southwest China. MetS was established by Chinese Diabetes Society. Logistic regression model was utilized to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curve was utilized to calculate area under the ROC curve (AUC) and 95% CIs to obtain the identification ability for MetS. RESULTS The risk of MetS was increased with per 5 units increase of LAP (OR 1.37 [95% CI, 1.34-1.39]). Similar results were found in subgroup analyses and sensitivity analyses. Clustered metabolic risk associated with per 5 units increase of LAP was observed for people with 1 (OR 1.59 [95% CI, 1.53-1.65]), 2 (2.15 [2.06-2.24]), 3 (2.59 [2.48-2.71]), 4 (2.81 [2.69-2.95]) and 5 (3.03 [2.87-3.21]) MetS components. LAP presented higher AUC (0.915 [95% CI, 0.907-0.923]) than other included obesity indices (P < 0.05). CONCLUSION These data support evidence that LAP was related to the risk of MetS, had a high AUC and could be a reliable index for identifying MetS patients among Dong adults in Chinese.
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Affiliation(s)
- X Zhang
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - F Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - L Liu
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - F Nie
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - L Du
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - H Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - Z Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - Q Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - J Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - J Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - X Li
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
| | - J Zhang
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- Health Bureau of Yunyan District, Beijing East Road, Guiyang 550003, People's Republic of China
| | - P Luo
- School of Public Health, Guizhou Medical University, Dongqing Road, Guiyang, 550025, People's Republic of China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guiyang 550025, People's Republic of China
- State Key Laboratory of Function and Application of Medicinal Plants, Guizhou Medical University, Dongqing Road, Guiyang 550014, People's Republic of China
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Liu L, Zhang X, Peng L, Ma N, Yang T, Nie C, Zhang L, Xu Z, Yang J, Tang X, Zheng L, Zhang T, Hong F. Hyperuricemia is Related to the Risk of Cardiovascular Diseases in Ethnic Chinese Elderly Women. Glob Heart 2022; 17:12. [PMID: 35342699 PMCID: PMC8877644 DOI: 10.5334/gh.1102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/20/2022] [Indexed: 11/20/2022] Open
Abstract
Background The association between hyperuricemia (HUA) and cardiovascular diseases (CVDs) is not fully elucidated. Objective To assess the relationship according to factors of sex and age in the Chinese ethnic groups. Methods We performed a population-based cross-sectional study in a multi-ethnic population from southwestern China. HUA patients were identified by serum uric acid ≥7 mg/dL in men and 6 mg/dL in women. The outcome was composite prevalent CVDs, including coronary heart disease (CHD), stroke, and arrhythmia. Multivariate logistic regression analysis, estimating odds ratio (ORs) and 95% confidence intervals (CIs), were applied to evaluate the HUA-CVDs relationship. Results We included 16,618 people (37.48% Dong, 30.00% Miao, and 32.52% Bouyei) aged 30-79 years without a reduced estimated glomerular filtration rate <60 mL/min/1.73 m2. CVDs developed in 250 Dong, 196 Miao, and 205 Bouyei adults. Among women, HUA was positively associated with the risk of stroke in Dong ethnicity and CVDs in Bouyei ethnicity (ORs (95% CIs) 2.02 (1.07-3.81) and 1.66 (1.06-2.59)) compared with non-HUA. In the age-specific analysis, HUA was related to the risk of CVDs (OR 2.32, 95% CI 1.00-5.38) and CHD (5.37, 1.61-17.89) among Miao people aged < median age, CVDs (1.52, 1.11-2.08) and stroke (1.67, 1.02-2.72) among Dong adults aged ≥ median age, and CVDs (1.67, 1.16-2.40) and CHD (1.77, 1.13-2.77) among Bouyei ethnicity aged ≥ median age. After stratification by sex and the median age, for women aged > 50 years, a 55% (1.55, 1.00-2.39) and 65% (1.65, 1.02-2.66) increased risk for CVDs was observed in Dong and Bouyei ethnicities. Conclusions HUA may be related to an increased risk of CVDs among women in the Dong and Bouyei ethnic groups in China, especially women aged > 50 years.
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Affiliation(s)
- Leilei Liu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Xiao Zhang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
- Center for Diseases Control and Prevention of Yunyan District, Guiyang 550004, China
| | - Lian Peng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Nana Ma
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Tingting Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Chan Nie
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Linyuan Zhang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Zixuan Xu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Jun Yang
- Guiyang Center for Diseases Control and Prevention, Guiyang 550003, China
| | - Xuejie Tang
- The Higher Education Mega Center Hospital, Guizhou Medical University, Guiyang 550025, China
| | - Liubo Zheng
- Guizhou Provincial People’s Hospital, Guiyang 550002, China
| | - Tao Zhang
- Guiyang Public Health Clinical Center, Guiyang 550004, China
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
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Nie J, Liu C, Yu C, Guo Y, Pei P, Yang L, Chen Y, Du H, Zhu K, Schmidt D, Avery D, Chen J, Chen Z, Lv J, Li L. Independent and Joint Associations of Tea Consumption and Smoking with Parkinson's Disease Risk in Chinese Adults. JOURNAL OF PARKINSON'S DISEASE 2022; 12:1693-1702. [PMID: 35527564 PMCID: PMC9398092 DOI: 10.3233/jpd-223148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/08/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND Existing limited evidence suggests that smoking and tea consumption may be associated with a lower risk of Parkinson's disease (PD). However, less is known about the independent and joint roles of these two habits, which are often clustered among Chinese, on PD risk. OBJECTIVE To prospectively examine the independent and joint association of tea consumption and smoking with the risk of PD. METHODS The China Kadoorie Biobank (CKB) study recruited 512,725 participants aged 30 to 79 years from ten areas across China since 2004. Information on smoking and tea consumption was collected at baseline, and PD cases were ascertained by linkage to the national health insurance system and death registry. Cox proportional hazards models were used to estimate the multivariable-adjusted hazard ratios (HRs) and corresponding 95%confidence intervals (CIs). RESULTS During a median of 10.8 years of follow-up, 922 PD cases were recorded. Compared with participants who never consumed tea, the HR (95%CI) for daily consumers was 0.68 (0.55, 0.84). Compared with participants who never or occasionally smoked, the HR (95%CI) for current smokers was 0.66 (0.53, 0.82). Those who had a clustering habit of smoking and tea consumption had a 38%(HR = 0.62; 95%CI: 0.49, 0.79) lower PD risk than those who consumed none. However, there were no statistically significant multiplicative or additive interaction for tea consumption and smoking on PD risk. CONCLUSION We found that smoking and daily tea consumption were independently inversely associated with the risk of PD.
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Affiliation(s)
- Jia Nie
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Chunyu Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Yu Guo
- Fuwai hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial ServiceUnit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial ServiceUnit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial ServiceUnit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Kaifei Zhu
- NCDs Prevention and Control Department, Wuzhong Center for Disease Control and Prevention, China
| | - Danile Schmidt
- Clinical Trial ServiceUnit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Daniel Avery
- Clinical Trial ServiceUnit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial ServiceUnit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
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Liu R, Li L, Shao C, Cai H, Wang Z. The Impact of Diabetes on Vascular Disease: Progress from the Perspective of Epidemics and Treatments. J Diabetes Res 2022; 2022:1531289. [PMID: 35434140 PMCID: PMC9012631 DOI: 10.1155/2022/1531289] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/10/2022] [Accepted: 03/23/2022] [Indexed: 12/23/2022] Open
Abstract
At present, the global incidence of diabetes has increased in countries with large populations, and the changes in developing regions are particularly worthy of attention. In the past 40 years or so, the income situation in China, India, and other countries has exploded, leading to changes in the way of life and work as well as an increase in the prevalence of diabetes. Metabolic disorders caused by diabetes can lead to secondary vascular complications, which have long-term malignant effects on the heart, kidneys, brain, and other vital organs of patients. Adequate primary prevention measures are needed to reduce the incidence of diabetic vascular complications, and more attention should be given to treatment after the disease. To this end, it is necessary to determine a standardized drug and physical therapy system and to build a more efficient and low-cost chronic disease management system.
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Affiliation(s)
- Runyang Liu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Lihua Li
- Department of Pathology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Chen Shao
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Honghua Cai
- Department of Burn Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Zhongqun Wang
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
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Zhang X, Hong F, Qin Z, Liu L, Yang J, Tang X, Li X, Zhang J, Luo P. Resting heart rate is associated with the risk of metabolic syndrome and its components among Dong adults in southwest China: Cross-sectional findings of the China Multi-Ethnic Cohort Study. Diabetes Metab Res Rev 2022; 38:e3475. [PMID: 34036712 DOI: 10.1002/dmrr.3475] [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: 01/20/2021] [Revised: 04/05/2021] [Accepted: 05/11/2021] [Indexed: 11/11/2022]
Abstract
AIMS High resting heart rate (RHR), one abnormal manifestation of autonomic nervous system, is associated with metabolic disorders. However, the association between RHR and metabolic syndrome (MetS) and its components remains controversial. We aimed to explore the link between these two parameters. MATERIALS AND METHODS The study included 6589 Dong adults (1434 cases of MetS) from the cross-sectional survey of the China Multi-Ethnic Cohort Study. Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) and assess the association between RHR and MetS, clustered metabolic risk, and MetS components. Restricted cubic splines model was used to evaluate the dose response association. RESULTS A positive association existed between RHR and MetS, and people in the highest RHR quartile had a higher MetS risk (OR 1.75 [95% CI 1.42-2.15]) than those in the lowest quartile. The clustered metabolic risk associated with RHR (p < 0.05). Furthermore, RHR was related to elevated blood pressure (BP), elevated triglycerides (TG) and elevated fasting plasma glucose (FPG); the ORs (95% CIs) for the highest versus lowest RHR quartile were 2.06 (1.75-2.43), 1.37 (1.17-1.62) and 2.53 (2.04-3.14), respectively. Similar results were found in sensitivity and subgroup analyses. Also, non-linear dose response association existed between RHR and MetS and elevated levels of BP, TG and FPG (p < 0.001). CONCLUSIONS RHR was related to increased risk of MetS, three MetS components (elevated BP, elevated TG and elevated FPG) and the clustered metabolic risk. RHR may be a useful indicator for MetS.
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Affiliation(s)
- Xiao Zhang
- School of Public Health, Guizhou Medical University, Guiyang, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Feng Hong
- School of Public Health, Guizhou Medical University, Guiyang, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zixiu Qin
- School of Public Health, Guizhou Medical University, Guiyang, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Leilei Liu
- School of Public Health, Guizhou Medical University, Guiyang, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Jun Yang
- Guiyang Centers for Diseases Control and Prevention, Guiyang, China
| | - Xuejie Tang
- The Affiliated Higher Education Mega Center Hospital of Guizhou Medical University, Guiyang, China
| | - Xi Li
- School of Public Health, Guizhou Medical University, Guiyang, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Jiangping Zhang
- School of Public Health, Guizhou Medical University, Guiyang, China
- Health Bureau of Yunyan District, Guiyang, China
| | - Peng Luo
- School of Public Health, Guizhou Medical University, Guiyang, China
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
- State Key Laboratory of Function and Application of Medicinal Plants, Guizhou Medical University, Guiyang, China
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5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022; 45:S60-S82. [PMID: 34964866 DOI: 10.2337/dc22-s005] [Citation(s) in RCA: 133] [Impact Index Per Article: 66.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Iona A, Bragg F, Guo Y, Yang L, Chen Y, Pei P, Lv J, Yu C, Wang X, Zhou J, Chen J, Clarke R, Li L, Parish S, Chen Z. Adiposity and risks of vascular and non-vascular mortality among Chinese adults with type 2 diabetes: a 10-year prospective study. BMJ Open Diabetes Res Care 2022; 10:10/1/e002489. [PMID: 35042752 PMCID: PMC8768914 DOI: 10.1136/bmjdrc-2021-002489] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 12/18/2021] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Among individuals with diabetes, high adiposity has been associated with lower cardiovascular disease (CVD) mortality (the so-called 'obesity paradox' phenomenon) in Western populations, for reasons that are still not fully elucidated. Moreover, little is known about such phenomena in Chinese adults with diabetes among whom very few were obese. We aimed to assess the associations of adiposity with vascular and non-vascular mortality among individuals with diabetes, and compare these with associations among individuals without diabetes. RESEARCH DESIGN AND METHODS In 2004-2008, the prospective China Kadoorie Biobank recruited >512 000 adults from 10 areas in China. After ~10 years of follow-up, 3509 deaths (1431 from CVD) were recorded among 23 842 individuals with diabetes but without prior major diseases at baseline. Cox regression yielded adjusted HRs associating adiposity with mortality. RESULTS Among people with diabetes, body mass index (BMI) (mean 25.0 kg/m2) was positively log linearly associated with CVD incidence (n=9943; HR=1.19 (95% CI 1.15 to 1.22) per 5 kg/m2), but showed U-shaped associations with CVD and overall mortality, with lowest risk at 22.5-24.9 kg/m2. At lower BMI, risk of death (n=671) within 28 days of CVD onset was particularly elevated, with an HR of 3.26 (95% CI 2.29 to 4.65) at <18.5 kg/m2 relative to 22.5-24.9 kg/m2, but no higher mortality risk at BMI ≥25.0 kg/m2. These associations were similar in self-reported and screen-detected diabetes, and persisted after extensive attempts to address reverse causality and confounding. Among individuals without diabetes (mean BMI 23.6 kg/m2; n=23 305 deaths), there were less extreme excess mortality risks at low BMI. CONCLUSIONS Among relatively lean Chinese adults with diabetes, there were contrasting associations of adiposity with CVD incidence and with mortality. The high mortality risk at low and high BMI levels highlights, if causal, the importance of maintaining normal weight among people with diabetes.
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Affiliation(s)
- Andri Iona
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona Bragg
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Xiaohuan Wang
- NCDs Prevention and Control Department, Hainan Centre for Disease Control and Prevention, Haikou, Hainan, China
| | - Jinyi Zhou
- NCDs Prevention and Control Department, Jiangsu Centre for Disease Control and Prevention, Nanjing, Gulou District, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Robert Clarke
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Sarah Parish
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Liu L, Lei J, Zhang L, Ma N, Xu Z, Peng L, Nie C, Zhong J, Zhang X, Hong F. A multiethnic association analysis of hyperuricaemia with cardiovascular risk in rural and urban areas in Chinese adults. Sci Rep 2021; 11:23362. [PMID: 34862416 PMCID: PMC8642462 DOI: 10.1038/s41598-021-02740-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 11/22/2021] [Indexed: 12/11/2022] Open
Abstract
Comprehensive research on rural-urban disparities in the association of hyperuricaemia (HUA) with cardiovascular disease (CVD) in China, especially among minority groups, is limited. We explored the HUA-CVD relationship between rural and urban areas within ethnic Chinese groups. We included Dong, Miao, and Bouyei adults in Southwest China from the China Multi-Ethnic Cohort Study. Multivariable logistic regression models were used to assess the relationship between HUA and CVD in both residences. We performed stratified analyses by sex and age. The study population included 16,618 people (37.48% Dong, 30.00% Miao, and 32.52% Bouyei) without a reduced estimated glomerular filtration rate. We identified 476 (188 Dong, 119 Miao, and 169 Bouyei) and 175 (62 Dong, 77 Miao, and 36 Bouyei) CVD cases in rural and urban areas. Compared to urban residents, an at least 49% increased CVD risk (adjusted OR 1.49, 95%CI 1.06-2.08 for the Dong ethnic group; 1.55, 1.07-2.25 for the Bouyei ethnic group) and a 1.65-fold elevated coronary heart disease risk (1.65, 1.03-2.64) related to HUA was present in rural residents. Moreover, HUA was positively associated with increased risk of CVD and coronary heart disease in rural women (2.05, 1.26-3.31; 2.11, 1.19-3.75) and rural older adults (1.83, 1.22-2.75; 2.32, 1.39-3.87) among the Bouyei ethnic group, respectively. We found rural elderly individuals with HUA among the Dong ethnic group had a 52% elevated risk of CVD (1.52, 1.05-2.21); furthermore, an at least 79% increased risk of stroke related to HUA was observed in women (2.24, 1.09-4.62) and elderly people (1.79, 1.02-3.13) in rural areas among the Dong ethnic group. But a positive association was not found among the Miao ethnic group. Screening early-onset HUA patients may be helpful for the control and prevention of CVD in rural residents, especially for women and older adults living in a rural community, among the Dong and Bouyei ethnic groups in China.
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Affiliation(s)
- Leilei Liu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Juan Lei
- Guiyang Center for Diseases Control and Prevention, Guiyang, 550003, China
| | - Linyuan Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Nana Ma
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Zixuan Xu
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Lian Peng
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Chan Nie
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Jianqin Zhong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
| | - Xiao Zhang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China
- Center for Diseases Control and Prevention of Yunyan District, Guiyang, 550004, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
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Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults. Int J Hypertens 2021; 2021:4514871. [PMID: 34733558 PMCID: PMC8560290 DOI: 10.1155/2021/4514871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/15/2021] [Indexed: 11/17/2022] Open
Abstract
Background In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P < 0.001), followed by obesity (β = 0.353, P < 0.001) and sociodemographic characteristics (β = 0.315, P < 0.001). All paths of the model were significant (P < 0.001). Conclusion CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.
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Wang H, Chen L, Shen D, Cao Y, Zhang X, Xie K, Wang C, Zhu S, Pei P, Guo Y, Bragg F, Yu M, Chen Z, Li L. Association between frequency of spicy food consumption and hypertension: a cross-sectional study in Zhejiang Province, China. Nutr Metab (Lond) 2021; 18:70. [PMID: 34229688 PMCID: PMC8259443 DOI: 10.1186/s12986-021-00588-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/04/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Hypertension is a known risk factor for multiple chronic diseases. Existing literature on the association between frequency of spicy food consumption and hypertension shows mixed findings. METHODS The analyses are based on the Tongxiang baseline dataset of the China Kadoorie Biobank prospective study, including data from electronic questionnaires, physical measurements and blood sample collection. A total of 53,916 participants aged 30-79 years were included in the final analysis. Multivariable logistic regression was used to estimate the association of spicy food consumption with hypertension, and multiple linear regression was performed to explore the association of spicy food consumption with systolic and diastolic blood pressure. RESULTS Of the 53,916 participants, 23,921 had prevalent hypertension. 12.3% of participants reported consuming spicy food weekly. Among female participants, after adjusting for socio-demographic status, lifestyle factors, BMI, waist circumference, sleep duration and snoring, when compared with females who never consumed spicy food, the odds ratios (95% CI) for hypertension were 1.02 (0.96-1.08), 0.90 (0.79-1.01), and 0.88 (0.78-0.99), respectively, for females who consumed spicy food less than once weekly, 1-2 times weekly, and ≥ 3 times weekly (Ptrend = 0.04). The corresponding odds ratios for males were 1.02 (0.95-1.09), 1.07 (0.95-1.20), and 0.91 (0.81-1.01), respectively (Ptrend = 0.39). Among current alcohol drinkers, compared to participants who never consumed spicy food, the odds ratio (95% CI) for hypertension among participants consuming spicy food daily was 0.98 (0.80-1.20). The corresponding figure for non-current drinkers was 0.72 (0.62-0.84). The association was stronger among non-current alcohol drinkers than among current drinkers (Pheterogeneity = 0.02). CONCLUSIONS Frequency of spicy food consumption is inversely associated with hypertension in females, but not in males.
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Affiliation(s)
- Hao Wang
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Diseases Control and Prevention, #3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang Province China
| | - Lingli Chen
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Dun Shen
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Yuan Cao
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Xiaoyi Zhang
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Kaixu Xie
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Chunmei Wang
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Shuiqing Zhu
- Department of NCDs Control and Prevention, Tongxiang City Center for Disease Control and Prevention, Tongxiang, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Fiona Bragg
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Min Yu
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Diseases Control and Prevention, #3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang Province China
| | - Zhengming Chen
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
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Ju R, Ruan X, Xu X, Yang Y, Cheng J, Zhang L, Wang B, Qin S, Dou Z, Mueck AO. Importance of active and passive smoking as one of the risk factors for female sexual dysfunction in Chinese women. Gynecol Endocrinol 2021; 37:541-545. [PMID: 34027789 DOI: 10.1080/09513590.2021.1913115] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVE To assess possible risk factors for female sexual dysfunction (FSD), aiming especially at smoking in China. METHODS Female Sexual Function Index (FSFI) for assessing FSD; 621 women (24-75 years) divided into 'group FSD' (FSFI≤ 26.55) and 'group No FSD' (FSFI > 26.55). Univariate and multivariate analysis to detect potential risk factors for FSD. RESULTS Active smoking was the strongest risk factor after multiple adjustments (OR= 6.226, 95%CI = 1.561 ∼ 24.822), but passive smoking also was significantly associated with a risk of FSD (OR = 1.887, 95%CI = 1.092 ∼ 3.260) (p < .05). Other risk factors included age (OR = 1.040, 95%CI = 1.005 ∼ 1.076), medical comorbidities (OR= 1.688, 95%CI =1.044 ∼ 2.729), postmenopausal stage (OR= 2.021, 95%CI = 1.073 ∼ 5.717), and dissatisfied marital relations (OR= 3.771, 95%CI = 1.768 ∼ 8.045). The prevalence of FSD for smokers regarding disorders of sexual arousal, orgasm and sexual satisfaction increased in active smokers; sexual desire disorder, sexual arousal disorder and pain in secondhand smokers (p < .05). CONCLUSION The risk of FSD was closely related to depletion of ovarian function. Active smokers had the highest risk, but passive smoking also had a significant relationship to FSD. Although female smokers are rare in China, 'husband smoking' is frequent. Thus, our results should have significant healthcare consequences.
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Affiliation(s)
- Rui Ju
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Xiangyan Ruan
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Department of Women's Health, University Women's Hospital and Research Centre for Women's Health, University of Tuebingen, Tuebingen, Germany
| | - Xin Xu
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Yu Yang
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Jiaojiao Cheng
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Luping Zhang
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Binhong Wang
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Shuang Qin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zhuli Dou
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Alfred O Mueck
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Department of Women's Health, University Women's Hospital and Research Centre for Women's Health, University of Tuebingen, Tuebingen, Germany
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Chan WC, Millwood IY, Kartsonaki C, Du H, Guo Y, Chen Y, Bian Z, Walters RG, Lv J, He P, Hu C, Li L, Yang L, Chen Z. Spicy food consumption and risk of gastrointestinal-tract cancers: findings from the China Kadoorie Biobank. Int J Epidemiol 2021; 50:199-211. [PMID: 33484129 PMCID: PMC7938514 DOI: 10.1093/ije/dyaa275] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 11/12/2020] [Accepted: 12/14/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Previous case-control studies have reported positive associations of spicy food consumption with risks of certain gastrointestinal-tract (GI) cancers. However, there is no prospective evidence on such associations, particularly from China, where there are high incidence rates of GI cancers and spicy food is widely consumed. METHODS The prospective China Kadoorie Biobank study recruited >512 000 adults aged 30-79 years from 10 areas in China during 2004-2008; 2350 oesophageal, 3350 stomach and 3061 colorectal incident cancer cases were recorded by 1 January 2017, after a median of 10.1 years of follow-up. Cox regression yielded adjusted hazard ratios (HRs) for each cancer associated with spicy food intake. RESULTS Overall, 30% of participants reported daily spicy food consumption at baseline. Spicy food consumption was inversely associated with oesophageal cancer risk, with adjusted HRs of 1.00, 0.88, 0.76, 0.84 and 0.81 for those who never/rarely consumed (reference) and consumed monthly, 1-2 days/week, 3-5 days/week and 6-7 days/week, respectively (ptrend < 0.002). The association remained similar after excluding the first 3 years of follow-up but appeared stronger in participants who did not smoke or drink alcohol regularly (ptrend < 0.0001). The corresponding HRs for stomach cancer were 1.00, 0.97, 0.95, 0.92 and 0.89 (ptrend = 0.04), with the association disappearing after excluding the first 3 years of follow-up. For colorectal cancer, the HRs were 1.00, 1.00, 0.95, 0.87 and 0.90, respectively (ptrend = 0.04) and the inverse association appeared to be restricted to rectal rather than colon cancer (pheterogeneity = 0.004). The types and strength of spice used showed little additional effects on these associations. CONCLUSION In Chinese adults, higher spicy food consumption was associated with lower risks of certain GI cancers, particularly among individuals who never smoked or drank alcohol regularly.
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Affiliation(s)
- Wing Ching Chan
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Pan He
- NCDs Prevention and Control Department, Huixian Center for Disease Control and Prevention, Henan, China
| | - Chen Hu
- NCDs Prevention and Control Department, Huixian Center for Disease Control and Prevention, Henan, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Nam GE, Kim W, Han K, Jung JH, Han B, Kim J, Kim NH, Choi KM, Cho KH, Park YG, Kim SM. Association between living alone and incident type 2 diabetes among middle-aged individuals in Korea: a nationwide cohort study. Sci Rep 2021; 11:3659. [PMID: 33574370 PMCID: PMC7878859 DOI: 10.1038/s41598-021-82868-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/27/2021] [Indexed: 01/22/2023] Open
Abstract
We studied the association between living alone and the risk of incident type 2 diabetes in middle-aged individuals using nationwide cohort data from the Korean population. 11,686, 677 middle-aged individuals aged 40–64 years who underwent health examinations by the Korean National Health Insurance System between 2009 and 2012 were followed up until December 31, 2015. The hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable Cox proportional hazards regression analysis. During the median follow-up duration of 5.6 years, 393,438 individuals developed type 2 diabetes. Living alone was significantly associated with incident type 2 diabetes in all adjusted models (HR 1.08; 95% CI 1.07–1.09 in model 4). Individuals who lived alone for < 1 year and 1–7 years were associated with increased HRs of 1.07 (1.04–1.09) and 1.08 (1.07–1.09). Living alone was associated with incident type 2 diabetes in all subgroups. The association was stronger in men than in women and younger individuals than in older individuals. Living alone, even for a short duration, may be an important factor in type 2 diabetes development. Better household conditions and appropriate support to one-person households may be needed to prevent type 2 diabetes.
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Affiliation(s)
- Ga Eun Nam
- Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wonsock Kim
- Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Jin-Hyung Jung
- Department of Biostatistics, Catholic University of Korea, Seoul, Republic of Korea
| | - Byoungduck Han
- Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jinwook Kim
- Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Nan Hee Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyung Mook Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyung Hwan Cho
- Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yong Gyu Park
- Department of Biostatistics, Catholic University of Korea, Seoul, Republic of Korea
| | - Seon Mee Kim
- Department of Family Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
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Choi JW, Kim TH, Han E. Smoking Cessation, Weight Change, Diabetes, and Hypertension in Korean Adults. Am J Prev Med 2021; 60:205-212. [PMID: 33153837 DOI: 10.1016/j.amepre.2020.08.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 07/23/2020] [Accepted: 08/11/2020] [Indexed: 12/23/2022]
Abstract
INTRODUCTION This study investigates the association of smoking cessation and postcessation weight gain with the development of type 2 diabetes mellitus and hypertension. METHODS A total of 96,524 individuals without diabetes mellitus and hypertension aged ≥20 years between 2006 and 2008 were included, with follow-up until December 31, 2015. Smoking status and weight changes were monitored for 2 years. Hazard ratios and 95% CIs were calculated for the respective risks of the 2 conditions. Analyses were completed in 2020. RESULTS Compared with current smokers, the adjusted hazard ratios for the risk of type 2 diabetes and hypertension were 0.90 (95% CI=0.85, 0.96) and 1.00 (95% CI=0.95, 1.05) in recent quitters, 0.89 (95% CI=0.84, 0.95) and 0.92 (95% CI=0.88, 0.97) in long-term quitters, and 0.82 (95% CI=0.78, 0.86) and 0.92 (95% CI=0.89, 0.95) in never smokers. Compared with current smokers, the adjusted hazard ratios for the risk of type 2 diabetes and hypertension were 0.86 (95% CI=0.80, 0.93) and 0.98 (95% CI=0.92, 1.04) in recent quitters with no weight gain, 0.94 (95% CI=0.87, 1.03) and 1.00 (95% CI=0.94, 1.07) in those with 0.1-5 kg weight gain, 0.93 (95% CI=0.73, 1.19) and 1.14 (95% CI=0.96, 1.36) in those with 5.1-10 kg weight gain, and 1.49 (95% CI=0.84, 2.62) and 1.10 (95% CI=0.68, 1.77) in those with a weight gain of >10 kg. CONCLUSIONS Smoking cessation with no subsequent weight gain is associated with a reduced risk of developing type 2 diabetes. However, weight gain after smoking cessation attenuates the reduced risk of type 2 diabetes. The association between recent quitting and incident hypertension was nonsignificant, whereas long-term quitters had reduced risk of developing hypertension and type 2 diabetes.
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Affiliation(s)
- Jae Woo Choi
- Department of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, South Korea
| | - Tae Hyun Kim
- Department of Hospital Administration, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Euna Han
- Department of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, South Korea.
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Levin MG, Klarin D, Assimes TL, Freiberg MS, Ingelsson E, Lynch J, Natarajan P, O’Donnell C, Rader DJ, Tsao PS, Chang KM, Voight BF, Damrauer SM. Genetics of Smoking and Risk of Atherosclerotic Cardiovascular Diseases: A Mendelian Randomization Study. JAMA Netw Open 2021; 4:e2034461. [PMID: 33464320 PMCID: PMC7816104 DOI: 10.1001/jamanetworkopen.2020.34461] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IMPORTANCE Smoking is associated with atherosclerotic cardiovascular disease, but the relative contribution to each subtype (coronary artery disease [CAD], peripheral artery disease [PAD], and large-artery stroke) remains less well understood. OBJECTIVE To determine the association between genetic liability to smoking and risk of CAD, PAD, and large-artery stroke. DESIGN, SETTING, AND PARTICIPANTS Mendelian randomization study using summary statistics from genome-wide associations of smoking (UK Biobank; up to 462 690 individuals), CAD (Coronary Artery Disease Genome Wide Replication and Meta-analysis plus the Coronary Artery Disease Genetics Consortium; up to 60 801 cases, 123 504 controls), PAD (VA Million Veteran Program; up to 24 009 cases, 150 983 controls), and large-artery stroke (MEGASTROKE; up to 4373 cases, 406 111 controls). This study was conducted using summary statistic data from large, previously described cohorts. Review of those publications does not reveal the total recruitment dates for those cohorts. Data analyses were conducted from August 2019 to June 2020. EXPOSURES Genetic liability to smoking (as proxied by genetic variants associated with lifetime smoking index). MAIN OUTCOMES AND MEASURES Risk (odds ratios [ORs]) of CAD, PAD, and large-artery stroke. RESULTS Genetic liability to smoking was associated with increased risk of PAD (OR, 2.13; 95% CI, 1.78-2.56; P = 3.6 × 10-16), CAD (OR, 1.48; 95% CI, 1.25-1.75; P = 4.4 × 10-6), and stroke (OR, 1.40; 95% CI, 1.02-1.92; P = .04). Genetic liability to smoking was associated with greater risk of PAD than risk of large-artery stroke (ratio of ORs, 1.52; 95% CI, 1.05-2.19; P = .02) or CAD (ratio of ORs, 1.44; 95% CI, 1.12-1.84; P = .004). The association between genetic liability to smoking and atherosclerotic cardiovascular diseases remained independent from the effects of smoking on traditional cardiovascular risk factors. CONCLUSIONS AND RELEVANCE In this mendelian randomization analysis of data from large studies of atherosclerotic cardiovascular diseases, genetic liability to smoking was a strong risk factor for CAD, PAD, and stroke, although the estimated association was strongest between smoking and PAD. The association between smoking and atherosclerotic cardiovascular disease was independent of traditional cardiovascular risk factors.
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Affiliation(s)
- Michael G. Levin
- Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Derek Klarin
- Malcolm Randall VA Medical Center, Gainesville, Florida
- Department of Surgery, University of Florida, Gainesville
| | - Themistocles L. Assimes
- Palo Alto VA Healthcare System, Palo Alto, California
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | - Matthew S. Freiberg
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Geriatric Research Education and Clinical Centers, Veterans Affairs Tennessee Valley Healthcare System, Nashville
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cardiovascular Institute, Stanford University, Stanford, California
- Stanford Diabetes Research Center, Stanford University, Stanford, California
- Now with GlaxoSmithKline, San Francisco, California
| | - Julie Lynch
- Edith Nourse VA Medical Center, Bedford, Massachusetts
- VA Informatics and Computing Infrastructure, Salt Lake City, Utah
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- VA Boston Healthcare System, Boston, Massachusetts
| | | | - Daniel J. Rader
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Philip S. Tsao
- Palo Alto VA Healthcare System, Palo Alto, California
- Stanford Cardiovascular Institute, Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Palo Alto, California
| | - Kyong-Mi Chang
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Benjamin F. Voight
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Scott M. Damrauer
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia
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5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2021. Diabetes Care 2021; 44:S53-S72. [PMID: 33298416 DOI: 10.2337/dc21-s005] [Citation(s) in RCA: 169] [Impact Index Per Article: 56.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Evans M, Morgan AR, Patel D, Dhatariya K, Greenwood S, Newland-Jones P, Hicks D, Yousef Z, Moore J, Kelly B, Davies S, Dashora U. Risk Prediction of the Diabetes Missing Million: Identifying Individuals at High Risk of Diabetes and Related Complications. Diabetes Ther 2021; 12:87-105. [PMID: 33190216 PMCID: PMC7843706 DOI: 10.1007/s13300-020-00963-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 10/28/2020] [Indexed: 01/08/2023] Open
Abstract
Early diagnosis and effective management of type 2 diabetes (T2D) are crucial in reducing the risk of developing life-changing complications such as heart failure, stroke, kidney disease, blindness and amputation, which are also associated with significant costs for healthcare providers. However, as T2D symptoms often develop slowly it is not uncommon for people to live with T2D for years without being aware of their condition-commonly known as the undiagnosed missing million. By the time a diagnosis is received, many individuals will have already developed serious complications. While the existence of undiagnosed diabetes has long been recognised, wide-reaching awareness among the general public, clinicians and policymakers is lacking, and there is uncertainty in how best to identify high-risk individuals. In this article we have used consensus expert opinion alongside the available evidence, to provide support for the diabetes healthcare community regarding risk prediction of the missing million. Its purpose is to provide awareness of the risk factors for identifying individuals at high, moderate and low risk of T2D and T2D-related complications. The awareness of risk predictors, particularly in primary care, is important, so that appropriate steps can be taken to reduce the clinical and economic burden of T2D and its complications.
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Affiliation(s)
- Marc Evans
- Diabetes Resource Centre, University Hospital Llandough, Cardiff, UK.
| | | | - Dipesh Patel
- Department of Diabetes, Division of Medicine, University College London, Royal Free NHS Trust, London, UK
| | - Ketan Dhatariya
- Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Sharlene Greenwood
- Renal Medicine, King's College Hospital, London, UK
- Renal Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | | | | | - Zaheer Yousef
- Wales Heart Research Institute, Cardiff University, Cardiff, UK
| | - Jim Moore
- Stoke Road Surgery, Bishop's Cleeve, Cheltenham, UK
| | | | | | - Umesh Dashora
- East Sussex Healthcare NHS Trust, St Leonards-on-Sea, UK
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Li H, Lv J, Yu C, Guo Y, Bian Z, Fan J, Yang L, Chen Y, Du H, Long H, Zhang Z, Chen J, Chen Z, Huang T, Li L. The Association Between Age at Initiation of Alcohol Consumption and Type 2 Diabetes Mellitus: A Cohort Study of 0.5 Million Persons in China. Am J Epidemiol 2020; 189:1478-1491. [PMID: 32875324 PMCID: PMC7857693 DOI: 10.1093/aje/kwaa119] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/20/2022] Open
Abstract
It is well known that alcohol consumption is associated with type 2 diabetes mellitus. However, the association of age at initiation of alcohol consumption and duration of alcohol drinking with type 2 diabetes mellitus among Chinese adults is not fully understood. This study was based on data from the China Kadoorie Biobank, which included 512,712 participants aged 30-79 years who were living in China in 2004-2008. A Cox proportional hazards model was used to estimate the association of AAI and drinking duration with type 2 diabetes. After adjustment for potential covariates, ages at alcohol initiation (AAIs) of 18.1-29.0 years, 29.1-39.0 years, and >39.0 years were associated with 22% (95% confidence interval (CI): 14, 30), 25% (95% CI: 17, 33), and 32% (95% CI: 24, 39) lower hazards of type 2 diabetes compared with abstaining, respectively. Drinking durations of <10.1 years, 10.1-20.0 years, and 20.1-30.0 years were associated with a lower risk of type 2 diabetes, compared with abstaining. Among current (weekly) drinkers, AAI <18.1 years and drinking duration >30.0 years were associated with 18% (95% CI: 4, 33) and 20% (95% CI: 3, 40) higher hazards of type 2 diabetes, compared with AAI 18.1-29.0 years and drinking duration <10.1 years, respectively. In conclusion, late AAI and a short drinking duration were associated with a lower risk of type 2 diabetes in this large prospective cohort study of Chinese adults, but early AAI and long drinking duration were not.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Liming Li
- Correspondence to Prof. Liming Li, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China (e-mail: ); or Prof. Tao Huang, Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China (e-mail: )
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Amiri S, Behnezhad S. Smoking and risk of sleep-related issues: a systematic review and meta-analysis of prospective studies. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2020; 111:775-786. [PMID: 32185746 PMCID: PMC7501367 DOI: 10.17269/s41997-020-00308-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 02/17/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Smoking has many deleterious consequences on health, one of which can be sleep-related issues. Therefore, a meta-analysis was performed with the aim of pooling results from studies on the relationship between smoking and sleep-related issues. METHODS The present study follows PRISMA guidelines. Databases were searched by both researchers to find the articles. The review was done up to December 2018. In order to analyze the results of the screened articles, statistical indexes were converted to logarithms and the studies were combined with each other. Finally, several analyses were conducted with respect to various subgroups. In the subgroup analysis, the pool index of the studies was determined and the degree of heterogeneity in each subgroup was presented. Meta-regression was also used. RESULTS Smoking is associated with a risk of developing sleep-related issues. Risk ratio (1.47; 1.20-1.79) for smokers was higher than for non-smokers. Egger's test and Begg's test indicated publication bias. CONCLUSIONS Smoking is associated with sleep-related issues. Informing smokers about the effects of smoking on sleep issues can be effective in reducing and preventing its consequences.
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Affiliation(s)
- Sohrab Amiri
- Behavioral Sciences Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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Lan K, Zhang G, Liu L, Guo Z, Luo X, Guan H, Yu Q, Liu E. Electronic cigarette exposure on insulin sensitivity of ApoE gene knockout mice. Tob Induc Dis 2020; 18:68. [PMID: 32818031 PMCID: PMC7425754 DOI: 10.18332/tid/125399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 06/06/2020] [Accepted: 07/14/2020] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION The current study aimed to investigate the effects of electronic cigarettes on insulin sensibility in ApoE gene knockout mice. METHODS In total, 48 male ApoE gene knockout mice were randomly divided into four exposure groups: 1) electronic cigarette (e-cigarette) containing 12 mg/mL of nicotine, 2) e-cigarette without nicotine (0mg), 3) traditional cigarette (cigarette), and 4) fresh air (control). The first three groups were exposed to the associated smoke for 18 weeks. The body weight was recorded regularly in the four groups. After the last exposure, the concentrations of lipids, hs-CRP and TNF-α in serum were detected and the effect of electronic cigarettes on insulin tolerance was measured. RESULTS The levels of serum lipid, hs-CRP and TNF-α in the e-cigarette, 0mg and cigarette groups were significantly increased compared with those in the control group (p<0.05). Also, the insulin tolerance in the e-cigarette, 0mg and cigarette groups was significantly decreased compared to that in the control group (p<0.05). CONCLUSIONS Electronic cigarettes showed comparable effects to traditional cigarettes in influencing the metabolic functions in ApoE gene knockout mice.
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Affiliation(s)
- Kai Lan
- Department of Clinical Medicine, Xi’an Medical University, Xi’an, China
| | - Guangwei Zhang
- Department of Basic Medical Science, Xi’an Medical University, Xi’an, China
- School of Public Health, Xi’an Medical University, Xi’an, China
- Institute of Basic and Translational Medicine, Xi’an Medical University, Xi’an, China
- Laboratory Animal Center, Xi’an Jiaotong University Health Science Center, Xi’an Jiaotong University, Xi’an, China
| | - Lijuan Liu
- School of Public Health, Xi’an Medical University, Xi’an, China
| | - Ziwei Guo
- School of Public Health, Xi’an Medical University, Xi’an, China
| | - Xianyu Luo
- School of Public Health, Xi’an Medical University, Xi’an, China
| | - Hua Guan
- Institute of Basic and Translational Medicine, Xi’an Medical University, Xi’an, China
| | - Qi Yu
- Institute of Basic and Translational Medicine, Xi’an Medical University, Xi’an, China
| | - Enqi Liu
- Institute of Basic and Translational Medicine, Xi’an Medical University, Xi’an, China
- Laboratory Animal Center, Xi’an Jiaotong University Health Science Center, Xi’an Jiaotong University, Xi’an, China
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He H, Pan L, Cui Z, Sun J, Yu C, Cao Y, Wang Y, Shan G. Smoking Prevalence, Patterns, and Cessation Among Adults in Hebei Province, Central China: Implications From China National Health Survey (CNHS). Front Public Health 2020; 8:177. [PMID: 32596196 PMCID: PMC7300263 DOI: 10.3389/fpubh.2020.00177] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 04/21/2020] [Indexed: 12/23/2022] Open
Abstract
As part of the China National Health Survey, the objective of this study was to explore the prevalence, patterns, and influencing factors of smoking, and understand reasons for smoking cessation among adults in Hebei Province, central China. Using a multi-stage stratified cluster sampling method, 6,552 adults (2,594 males) aged 20–80 were selected in 2017. Demographic, socioeconomic, and tobacco use information were collected by questionnaire interview. The prevalence of ever-smoking, current smoking, and ex-smoking was 28.94, 21.08, and 7.86%, respectively. Male participants had a much higher prevalence of ever-smoking and current smoking (67.39 and 48.77%) than females (3.74 and 2.93%). In male participants, the daily cigarette consumption was 16.61, and the mean age of smoking initiation was 20.95, decreasing with birth year (27.50 in people born before 1946 vs. 17.9 for those born after 1985, p for trend < 0.001). Over 40% of male ever-smokers initiated regular smoking before 20. Compared with never drinking, the ORs (95% CI) of ever-smoking for low, moderate, and high alcohol consumption in male participants were 1.44 (1.11–1.86), 2.80 (1.91–4.11), and 2.40 (1.72–3.33), respectively. Among 479 male ex-smokers, 50.94% stopped smoking because of illness and 49.06% by choice. Among male ex-smokers, hypertensive men were more likely to quit smoking than the normotensive individuals (OR: 1.48, 95% CI: 1.13–1.96). For CVD patients, this effect was estimated as 2.27 (95% CI: 1.56–3.30). This study revealed a high prevalence of ever-smoking, especially in men, in a representative population in central China. Health education focus on tobacco control could be integrated with alcohol consumption reduction to achieve additional benefit.
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Affiliation(s)
- Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College Beijing, China
| | - Ze Cui
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Jixin Sun
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Chengdong Yu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College Beijing, China
| | - Yajing Cao
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Ye Wang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College Beijing, China
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Zhang M, Yang Y, Liu F, Jia J, Xu Q, Wang L, Wang Y, He Y, Zhang Y, Peng Z, Wang Q, Shen H, Xu Z, Zhang Y, Yan D, Zhang H, Ma X. The association of husbands' smoking with wives' dysglycemia status: A cross-sectional study among over 10 million Chinese women aged 20-49. J Diabetes 2020; 12:354-364. [PMID: 31747113 DOI: 10.1111/1753-0407.13009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 11/06/2019] [Accepted: 11/17/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND We comprehensively evaluated the association between husbands' smoking amount and wives' dysglycemia status. METHODS We conducted a cross-sectional study which recruited 12 023 714 reproductive couples who participated in the National Free Pre-Pregnancy Checkups Project (NFPCP) between 2015 and 2016 in China. Multivariable logistic models were used to estimate odds ratio (OR) and 95% CI. Subgroup analysis and stratified analysis were further performed to investigate potential effect modification. RESULTS Compared to the neither-smoker group, the multivariable-adjusted ORs for diabetes mellitus (DM) among women was 1.09 (95% CI, 1.07-1.10), 1.04 (95% CI, 0.87-1.23), and 1.28 (95% CI, 1.17-1.41) in the husband-smoker, wife-smoker, and both-smokers groups, respectively. An increased risk of DM was also observed for women whose husbands smoke 1 to 10 (OR, 1.06; 95% CI, 1.04-1.07), 11 to 20 (OR, 1.13; 95% CI, 1.11-1.15), and over 20 cigarettes per day (OR, 1.25; 95% CI, 1.17-1.31). The prevalence of wives' DM showed significant linear trends with husbands' smoking amount (Pfor trend < .001). A similar growth tendency was also observed between husband smoking amount and impaired fasting glucose (IFG) prevalence with ORs of 1.04 (95% CI, 1.04-1.05), 1.05 (95% CI, 1.04-1.06), and 1.09 (95% CI, 1.06-1.11) for 1-10, 11-20, and over 20 cigarettes per day, respectively. The relationship between husbands' smoking amount and wives' IFG/DM prevalence appear to be modified by body mass index (BMI). CONCLUSIONS This study shows significant relationships between husbands' smoking and wives' risk of IFG/DM, and this result exists in both a categorical and dose-response manner. This association is modified by BMI. Family-oriented smoking interventions may both reduce husbands' active smoking and wives' risk of DM.
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Affiliation(s)
- Minjin Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Disease, China Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiajing Jia
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Qin Xu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Long Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
| | - Ya Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
| | - Qiaomei Wang
- Graduate School of Peking Union Medical College, Beijing, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Zongyu Xu
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resource Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
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Du H, Guo Y, Bennett DA, Bragg F, Bian Z, Chadni M, Yu C, Chen Y, Tan Y, Millwood IY, Gan W, Yang L, Yao P, Luo G, Li J, Qin Y, Lv J, Lin X, Key T, Chen J, Clarke R, Li L, Chen Z. Red meat, poultry and fish consumption and risk of diabetes: a 9 year prospective cohort study of the China Kadoorie Biobank. Diabetologia 2020; 63:767-779. [PMID: 31970429 PMCID: PMC7054352 DOI: 10.1007/s00125-020-05091-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 12/12/2019] [Indexed: 01/07/2023]
Abstract
AIMS/HYPOTHESIS Previous evidence linking red meat consumption with diabetes risk mainly came from western countries, with little evidence from China, where patterns of meat consumption are different. Moreover, global evidence remains inconclusive about the associations of poultry and fish consumption with diabetes. Therefore we investigated the associations of red meat, poultry and fish intake with incidence of diabetes in a Chinese population. METHODS The prospective China Kadoorie Biobank recruited ~512,000 adults (59% women, mean age 51 years) from ten rural and urban areas across China in 2004-2008. At the baseline survey, a validated interviewer-administered laptop-based questionnaire was used to collect information on the consumption frequency of major food groups including red meat, poultry, fish, fresh fruit and several others. During ~9 years of follow-up, 14,931 incidences of new-onset diabetes were recorded among 461,036 participants who had no prior diabetes, cardiovascular diseases or cancer at baseline. Cox regression analyses were performed to calculate adjusted HRs for incident diabetes associated with red meat, poultry and fish intake. RESULTS At baseline, 47.0%, 1.3% and 8.9% of participants reported a regular consumption (i.e. ≥4 days/week) of red meat, poultry and fish, respectively. After adjusting for adiposity and other potential confounders, each 50 g/day increase in red meat and fish intake was associated with 11% (HR 1.11 [95% CI 1.04, 1.20]) and 6% (HR 1.06 [95% CI 1.00, 1.13]) higher risk of incident diabetes, respectively. For both, the associations were more pronounced among men and women from urban areas, with an HR (95% CI) of 1.42 (1.15, 1.74) and 1.18 (1.03, 1.36), respectively, per 50 g/day red meat intake and 1.15 (1.02, 1.30) and 1.11 (1.01, 1.23), respectively, per 50 g/day fish intake. There was no significant association between diabetes and poultry intake, either overall (HR 0.96 [95% CI 0.83, 1.12] per 50 g/day intake) or in specific population subgroups. CONCLUSIONS/INTERPRETATION In Chinese adults, both red meat and fish, but not poultry, intake were positively associated with diabetes risk, particularly among urban participants. Our findings add new evidence linking red meat and fish intake with cardiometabolic diseases. DATA AVAILABILITY Details of how to access the China Kadoorie Biobank data and rules of China Kadoorie Biobank data release are available from www.ckbiobank.org/site/Data+Access.
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Affiliation(s)
- Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
| | - Yu Guo
- Chinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China.
| | - Derrick A Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Fiona Bragg
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Zheng Bian
- Chinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China
| | - Mahmuda Chadni
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Yunlong Tan
- Chinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Wei Gan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Pang Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Guojin Luo
- Pengzhou CDC, Chengdu, Sichuan Province, China
| | - Jianguo Li
- Pengzhou CDC, Chengdu, Sichuan Province, China
| | - Yulu Qin
- NCDs Prevention and Control Department, Liuzhou CDC, Guangxi Autonomous Zone, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China
| | - Xu Lin
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
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5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2020. Diabetes Care 2020; 43:S48-S65. [PMID: 31862748 DOI: 10.2337/dc20-s005] [Citation(s) in RCA: 213] [Impact Index Per Article: 53.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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