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Nakashima K, Miyashita H, Yoshimitsu H, Fujiwara Y, Nagai R, Ikeda T. Prenylflavonoids isolated from Epimedii Herba show inhibition activity against advanced glycation end-products. Front Chem 2024; 12:1407934. [PMID: 38882216 PMCID: PMC11176478 DOI: 10.3389/fchem.2024.1407934] [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: 03/27/2024] [Accepted: 05/07/2024] [Indexed: 06/18/2024] Open
Abstract
Introduction: As inhibitors of advanced glycation end products (AGEs), such as pyridoxamine, significantly inhibit the development of retinopathy and neuropathy in rats with streptozotocin-induced diabetes, treatment with AGE inhibitors is believed to be a potential strategy for the prevention of aging, age-related diseases, and lifestyle-related diseases, including diabetic complications. In the present study, the MeOH extract of Epimedii Herba (EH; aerial parts of Epimedium spp.) was found to inhibit the formation of N ε -(carboxymethyl)lysine (CML) and N ω -(carboxymethyl) arginine (CMA) during the incubation of collagen-derived gelatin with ribose. Materials and methods: EH was purchased from Uchida Wakan-yaku Co., and a MeOH extract was prepared. Several steps of column chromatography purified the extract. Each fraction was tested for inhibitory activity by ELISA using monoclonal antibodies for CML and CMA. Results: After activity-guided fractionation and purification by column chromatography, three new prenylflavonoids [named Koreanoside L (1), Koreanoside E1 (2), and Koreanoside E2 (3)] and 40 known compounds (4-43) were isolated from EH, and their inhibitory effects against CML and CMA formation were tested. Among these, epimedokoreanin B (8), epimedonin E (21), epicornunin B (22), and epicornunin F (24) inhibited the formation of both CML and CMA, with epimedokoreanin B (8) having the most potent inhibitory effect among the isolated compounds. To obtain the structure-activity relationships of 8, the phenolic hydroxy groups of 8 were methylated by trimethylsilyl-diazomethane to afford the partially and completely methylated compounds of 8. Prenyl derivatives of propolis (artepillin C, baccharin, and drupanin) were used in the assay. Discussion: As only 8 showed significant activity among these compounds, the catechol group of the B ring and the two prenyl groups attached to the flavanone skeleton were essential for activity. These data suggest that 8 could prevent the clinical complications of diabetes and age-related diseases by inhibiting AGEs.
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Affiliation(s)
- Keisuke Nakashima
- Faculty of Pharmaceutical Sciences, Sojo University, Kumamoto, Japan
| | | | | | - Yukio Fujiwara
- Department of Cell Pathology, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Ryoji Nagai
- Department of Food and Life Science, School of Agriculture, Tokai University, Kumamoto, Japan
| | - Tsuyoshi Ikeda
- Faculty of Pharmaceutical Sciences, Sojo University, Kumamoto, Japan
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Wang B, Fu Y, Tan X, Wang N, Qi L, Lu Y. Assessing the impact of type 2 diabetes on mortality and life expectancy according to the number of risk factor targets achieved: an observational study. BMC Med 2024; 22:114. [PMID: 38475845 PMCID: PMC10935790 DOI: 10.1186/s12916-024-03343-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/06/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is associated with an increased risk of premature death. Whether multifactorial risk factor modification could attenuate T2D-related excess risk of death is unclear. We aimed to examine the association of risk factor target achievement with mortality and life expectancy among patients with T2D, compared with individuals without diabetes. METHODS In this longitudinal cohort study, we included 316 995 participants (14 162 with T2D and 302 833 without T2D) free from cardiovascular disease (CVD) or cancer at baseline between 2006 and 2010 from the UK Biobank. Participants with T2D were categorised according to the number of risk factors within target range (non-smoking, being physically active, healthy diet, guideline-recommended levels of glycated haemoglobin, body mass index, blood pressure, and total cholesterol). Survival models were applied to calculate hazard ratios (HRs) for mortality and predict life expectancy differences. RESULTS Over a median follow-up of 13.8 (IQR 13.1-14.4) years, deaths occurred among 2105 (14.9%) participants with T2D and 18 505 (6.1%) participants without T2D. Compared with participants without T2D (death rate per 1000 person-years 4.51 [95% CI 4.44 to 4.57]), the risk of all-cause mortality among those with T2D decreased stepwise with an increasing number of risk factors within target range (0-1 risk factor target achieved: absolute rate difference per 1000 person-years 7.34 [4.91 to 9.78], HR 2.70 [2.25 to 3.25]; 6-7 risk factors target achieved: absolute rate difference per 1000 person-years 0.68 [-0.62 to 1.99], HR 1.16 [0.93 to 1.43]). A similar pattern was observed for CVD and cancer mortality. The association between risk factors target achievement and all-cause mortality was more prominent among participants younger than 60 years than those 60 years or older (P for interaction = 0.012). At age 50 years, participants with T2D who had 0-1 and 6-7 risk factors within target range had an average 7.67 (95% CI 6.15 to 9.19) and 0.99 (-0.59 to 2.56) reduced years of life expectancy, respectively, compared with those without T2D. CONCLUSIONS Individuals with T2D who achieved multiple risk factor targets had no significant excess mortality risk or reduction in life expectancy than those without diabetes. Early interventions aiming to promote risk factor modification could translate into improved long-term survival for patients with T2D.
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Affiliation(s)
- Bin Wang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Yanqi Fu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Xiao Tan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Ningjian Wang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Yingli Lu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
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Choi J, Park J, Kim J, Lee M, Lee K, Lee J, Kang D, Shin A, Choi J. Impact of pre- and post-diagnosis physical activity on the mortality of patients with cancer: Results from the Health Examinees-G study in Korea. Cancer Med 2023; 12:16591-16603. [PMID: 37317668 PMCID: PMC10469756 DOI: 10.1002/cam4.6253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/28/2023] [Accepted: 06/02/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Physical activity (PA) is recommended to improve the survival of cancer patients. However, the prognostic impact of specific PAs is not well understood. Therefore, we investigated the associations of the duration, type, intensity, and number of PAs one participates in pre- and post-diagnosis with mortality in Korean patients with cancer. METHODS Among the participants aged 40-69 years recruited from the Health Examines study, those diagnosed with cancer after baseline (n = 7749) and within 10 years before baseline (n = 3008) were included in the analyses for pre- and post-diagnosis PA, respectively. Duration, intensity, type, and number of leisure-time physical activities participated in were assessed using questionnaires. The Cox proportional hazard model was used to characterize the association between PA and cancer-specific mortality, adjusting for demographics, behaviors, comorbidities, and cancer stage based on the Surveillance, Epidemiology, and End Results program. RESULTS Pre-diagnosis, patients participating in vigorous-intensity activities (hazard ratio [HR]: 0.70, 95% confidence interval [CI]: 0.61-0.82), walking (HR: 0.85, 95% CI: 0.74-0.97), climbing (HR: 0.65, 95% CI: 0.55-0.77), sports (HR: 0.39, 95% CI: 0.25-0.61), and more than two activities (HR: 0.73, 95% CI: 0.63-0.86) had significantly lower all-cause mortality. Importantly, these associations were only found in patients with colorectal cancer participating in vigorous-intensity activities (HR: 0.40, 95% CI: 0.23-0.70). Post-diagnosis, only patients who performed more than two activities (HR: 0.65, 95% CI: 0.44-0.95) had significantly lower all-cause mortality. Similar associations were found for cancer mortality, both pre- and post-diagnosis. CONCLUSION Specific characteristics of PA pre- and post-diagnosis may influence the survival of cancer patients.
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Affiliation(s)
- Jaesung Choi
- Institute of Health Policy and ManagementSeoul National University Medical Research CenterSeoulSouth Korea
| | - Joo‐Yong Park
- Department of Big Data Medical ConvergenceEulji UniversitySeongnam‐SiSouth Korea
| | - Ji‐Eun Kim
- Department of Biomedical SciencesSeoul National University Graduate SchoolSeoulSouth Korea
| | - Miyoung Lee
- College of Physical Education and Sport ScienceKookmin UniversitySeoulSouth Korea
| | - Kyuwan Lee
- Department of Population SciencesBeckman Research Institute, City of Hope (COH)DuarteCaliforniaUSA
| | - Jong‐Koo Lee
- Department of Family MedicineCollege of MedicineSeoul National UniversitySeoulSouth Korea
| | - Daehee Kang
- Department of Big Data Medical ConvergenceEulji UniversitySeongnam‐SiSouth Korea
- Department of Biomedical SciencesSeoul National University Graduate SchoolSeoulSouth Korea
- Department of Preventive MedicineSeoul National University College of MedicineSeoulSouth Korea
- Cancer Research InstituteSeoul National UniversitySeoulSouth Korea
| | - Aesun Shin
- Department of Preventive MedicineSeoul National University College of MedicineSeoulSouth Korea
- Cancer Research InstituteSeoul National UniversitySeoulSouth Korea
| | - Ji‐Yeob Choi
- Institute of Health Policy and ManagementSeoul National University Medical Research CenterSeoulSouth Korea
- Department of Biomedical SciencesSeoul National University Graduate SchoolSeoulSouth Korea
- Department of Preventive MedicineSeoul National University College of MedicineSeoulSouth Korea
- Cancer Research InstituteSeoul National UniversitySeoulSouth Korea
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Tilden DR, Noser AE, Jaser SS. Sedentary Behavior and Physical Activity Associated with Psychosocial Outcomes in Adolescents with Type 1 Diabetes. Pediatr Diabetes 2023; 2023:1395466. [PMID: 37614407 PMCID: PMC10445792 DOI: 10.1155/2023/1395466] [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: 08/25/2023] Open
Abstract
Background Adolescents with type 1 diabetes (T1D) are particularly vulnerable to poor psychosocial outcomes-high rates of diabetes distress and poor quality of life are common among this cohort. Previous work in the general population demonstrated positive associations between quality of life and increases in moderate-to-vigorous physical activity (MVPA), as well as decreased sedentary behavior. While survey-based assessments of young adults with T1D observed similar trends, these studies were limited by their use of subjective assessments of MVPA and sedentary behavior. The use of direct activity monitoring is needed to establish the association between psychosocial outcomes and MVPA and sedentary behavior among adolescents with T1D. Objective To explore the association between objectively measured MVPA and sedentary behavior on psychosocial outcomes among adolescents with T1D. Subjects and Methods The current study is a secondary analysis of baseline data collected for a pilot trial of sleep-promoting intervention for adolescents with T1D. Participants (n = 29, with a mean age of 15.9 ± 1.3 years) completed baseline surveys and wore an actigraph for a week following the baseline visit. We examined minutes per week of MVPA and proportion of awake time spent sedentary in relation to adolescents' diabetes distress, depressive symptoms, and diabetes-related quality of life. Results Participants engaged in a mean of 19.6 ± 22.4 minutes of MVPA per day and spent 68.6 ± 9.9% of their awake time sedentary. MVPA was associated with lower diabetes distress in unadjusted (-3.6; 95% CI: -6.4 to -0.8) and adjusted (-2.6; 95% CI: -5.0--0.3) analyses. Sedentary time was associated with higher diabetes distress in adjusted (6.3; 95% CI: 1.3-11.2) but not unadjusted (6.0; 95% CI: -5.6-12.6) analyses. In secondary analyses, we did not observe significant associations between quality of life or depressive symptoms with either MVPA or sedentary behavior. Discussion Our findings extend previous survey-based work demonstrating an association between decreased diabetes distress with greater weekly MVPA and lower sedentary time. The current study highlights the multifaceted benefits of physical activity in this population and provides preliminary evidence for developing interventions to reduce sedentary time as an alternative method to improve psychosocial outcomes in this at-risk population.
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Affiliation(s)
- Daniel R. Tilden
- Endocrinology, Diabetes, and Clinical Pharmacology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Amy E. Noser
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Sarah S. Jaser
- Department of Pediatrics, Division of Pediatric Psychology, Vanderbilt University School of Medicine, Nashville, TN, USA
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Barbaresko J, Lang A, Szczerba E, Baechle C, Beckhaus J, Schwingshackl L, Neuenschwander M, Schlesinger S. Dietary Factors and All-Cause Mortality in Individuals With Type 2 Diabetes: A Systematic Review and Meta-analysis of Prospective Observational Studies. Diabetes Care 2023; 46:469-477. [PMID: 36701598 DOI: 10.2337/dc22-1018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 11/12/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Type 2 diabetes is a major health concern associated with mortality. Diet may influence the progression of diabetes; however, systematic reviews are lacking. PURPOSE This study systematically summarized the evidence on diet and all-cause mortality in individuals with type 2 diabetes. DATA SOURCES PubMed and Web of Science were searched until June 2022. STUDY SELECTION Prospective observational studies investigating dietary factors in association with all-cause mortality in individuals with type 2 diabetes were selected. DATA SYNTHESIS We identified 107 studies. Moderate certainty of evidence was found for inverse associations of higher intakes of fish (summary risk ratios per serving/week: 0.95; 95% CI 0.92, 0.99; n = 6 studies), whole grain (per 20 g/day: 0.84; 95% CI 0.71, 0.99; n = 2), fiber (per 5 g/day: 0.86; 95% CI 0.81, 0.91; n = 3), and n-3 polyunsaturated fatty acids (per 0.1 g/day: 0.87; 95% CI 0.82, 0.92; n = 2) and mortality. There was low certainty of evidence for inverse associations of vegetable consumption (per 100 g/day: 0.88; 95% CI 0.82, 0.94; n = 2), plant protein (per 10 g/day: 0.91; 95% CI 0.87, 0.96; n = 3), and for positive associations of egg consumption (per 10 g/day: 1.05; 95% CI 1.03, 1.08; n = 7) and cholesterol intake (per 300 mg/day: 1.19; 95% CI 1.13, 1.26; n = 2). For other dietary factors, evidence was uncertain or no association was observed. CONCLUSIONS Higher intake of fish, whole grain, fiber, and n-3 polyunsaturated fatty acids were inversely associated with all-cause mortality in individuals with type 2 diabetes. There is limited evidence for other dietary factors, and, thus, more research is needed.
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Affiliation(s)
- Janett Barbaresko
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
| | - Alexander Lang
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
| | - Edyta Szczerba
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Christina Baechle
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Julia Beckhaus
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- Department of Pediatrics and Pediatric Hematology/Oncology, University Children's Hospital, Klinikum Oldenburg AöR, Carl von Ossietzky University, Oldenburg, Germany
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Manuela Neuenschwander
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Sabrina Schlesinger
- German Diabetes Center, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Qin P, Huang C, Jiang B, Wang X, Yang Y, Ma J, Chen S, Hu D, Bo Y. Dietary carbohydrate quantity and quality and risk of cardiovascular disease, all-cause, cardiovascular and cancer mortality: A systematic review and meta-analysis. Clin Nutr 2023; 42:148-165. [PMID: 36586217 DOI: 10.1016/j.clnu.2022.12.010] [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: 07/29/2022] [Revised: 12/08/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND & AIMS Evidence remains conflicted on the association between dietary carbohydrate quantity and quality and risk of cardiovascular disease, all-cause, cardiovascular and cancer mortality, and such meta-analyses are lacking. The study aimed to conduct a systematic review and meta-analysis to synthesize the knowledge about their associations and to explore the dose-response relations. METHODS We comprehensively searched PubMed, EMBASE, and Web of Science up to March 2022 for observational studies investigating the associations in adults. Random effect model was used to estimate the summary relative risks (RRs) and 95% confidence intervals (CIs) and the dose-response association was explored by restricted cubic splines. RESULTS We obtained the data from 41 eligible studies. Compared with participants with lowest dietary carbohydrate intake, those with highest intake had an RR of 1.10 (95% CI 1.03-1.17, I2 = 52.8%) for cardiovascular disease, 1.10 (0.98-1.24, I2 = 65.5%) for coronary heart disease (CHD), 1.20 (1.08-1.34, I2 = 0) for stroke, 1.07 (1.00-1.14, I2 = 61.9%) for all-cause mortality, 1.02 (0.92-1.14, I2 = 51.3%) for cardiovascular mortality, and 1.01 (0.89-1.13, I2 = 56.7%) for cancer mortality. For each 5 %E increase in dietary carbohydrate intake, the summary RR was 1.02 (1.00-1.04, I2 = 66.8%) for cardiovascular disease, 1.04 (1.01-1.06, I2 = 0) for stroke but not significant for other outcomes. Restricted cubic splines showed linear associations with risk of cardiovascular disease (Pnon-linearity = 0.143), CHD (Pnon-linearity = 0.508), stroke (Pnon-linearity = 0.654) and non-linear associations with all-cause mortality (Pnon-linearity = 0.008) and cardiovascular mortality (Pnon-linearity = 0.055). Limited studies were found on the association of cardiovascular disease and mortality with dietary carbohydrate quality using a multidimensional and integrated indicator. CONCLUSIONS Increased consumption of dietary carbohydrate intake is associated with increased risk of cardiovascular disease, stroke, and all-cause mortality. Linear relation was found for cardiovascular disease and stroke but non-linear relation for all-cause mortality. More studies are warranted to investigate the association of dietary carbohydrate quality using a combined indicator and cardiovascular disease and mortality.
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Affiliation(s)
- Pei Qin
- Shenzhen Qianhai Shekou Free Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Cuihong Huang
- Shenzhen Qianhai Shekou Free Zone Hospital, Shenzhen, Guangdong, People's Republic of China; School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Bin Jiang
- Shenzhen Qianhai Shekou Free Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Xiaojie Wang
- Shenzhen Qianhai Shekou Free Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Yumeng Yang
- Shenzhen Qianhai Shekou Free Zone Hospital, Shenzhen, Guangdong, People's Republic of China; School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Jianping Ma
- Shenzhen Qianhai Shekou Free Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Shanquan Chen
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yacong Bo
- School of Public Health, Zhengzhou University, Henan, 450001, People's Republic of China.
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Zhang YB, Pan XF, Lu Q, Wang YX, Geng TT, Zhou YF, Liao LM, Tu ZZ, Chen JX, Xia PF, Wang Y, Wan ZZ, Guo KQ, Yang K, Yang HD, Chen SH, Wang GD, Han X, Wang YX, Yu D, He MA, Zhang XM, Liu LG, Wu T, Wu SL, Liu G, Pan A. Association of Combined Healthy Lifestyles With Cardiovascular Disease and Mortality of Patients With Diabetes: An International Multicohort Study. Mayo Clin Proc 2023; 98:60-74. [PMID: 36603958 PMCID: PMC9830550 DOI: 10.1016/j.mayocp.2022.08.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/29/2022] [Accepted: 08/12/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To prospectively examine the associations of combined lifestyle factors with incident cardiovascular disease (CVD) and mortality in patients with diabetes. PATIENTS AND METHODS Patients with prevalent diabetes were included from 5 prospective, population-based cohorts in China (Dongfeng-Tongji cohort and Kailuan study), the United Kingdom (UK Biobank study), and the United States (National Health and Nutrition Examination Survey and National Institutes of Health-AARP Diet and Health Study). Healthy lifestyle scores were constructed according to non-current smoking, low to moderate alcohol drinking, regular physical activity, healthy diet, and optimal body weight; the healthy level of each lifestyle factor was assigned 1 point, or 0 for otherwise, and the range of the score was 0 to 5. Cox proportional hazards models were used to estimate hazard ratios for incident CVD, CVD mortality, and all-cause mortality adjusting for sociodemographic, medical, and diabetes-related factors, and outcomes were obtained by linkage to medical records and death registries. Data were collected from October 18, 1988, to September 30, 2020. RESULTS A total of 6945 incident CVD cases were documented in 41,350 participants without CVD at baseline from the 2 Chinese cohorts and the UK Biobank during 389,330 person-years of follow-up, and 40,353 deaths were documented in 101,219 participants from all 5 cohorts during 1,238,391 person-years of follow-up. Adjusted hazard ratios (95% CIs) comparing patients with 4 or 5 vs 0 or 1 healthy lifestyle factors were 0.67 (0.60 to 0.74) for incident CVD, 0.58 (0.50 to 0.68) for CVD mortality, and 0.60 (0.53 to 0.68) for all-cause mortality. Findings remained consistent across different cohorts, subgroups, and sensitivity analyses. CONCLUSION The international analyses document that adherence to multicomponent healthy lifestyles is associated with lower risk of CVD and premature death of patients with diabetes.
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Affiliation(s)
- Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Xiu Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Ting-Ting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Feng Zhou
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhen Wan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun-Quan Guo
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kun Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Han-Dong Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Shuo-Hua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xu Han
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN
| | - Mei-An He
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Min Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie-Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Zhang YB, Pan XF, Lu Q, Wang YX, Geng TT, Zhou YF, Liao LM, Tu ZZ, Chen JX, Xia PF, Wang Y, Wan ZZ, Guo KQ, Yang K, Yang HD, Chen SH, Wang GD, Han X, Wang YX, Yu D, He MA, Zhang XM, Liu LG, Wu T, Wu SL, Liu G, Pan A. Associations of combined healthy lifestyles with cancer morbidity and mortality among individuals with diabetes: results from five cohort studies in the USA, the UK and China. Diabetologia 2022; 65:2044-2055. [PMID: 36102938 PMCID: PMC9633429 DOI: 10.1007/s00125-022-05754-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/30/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS Cancer has contributed to an increasing proportion of diabetes-related deaths, while lifestyle management is the cornerstone of both diabetes care and cancer prevention. We aimed to evaluate the associations of combined healthy lifestyles with total and site-specific cancer risks among individuals with diabetes. METHODS We included 92,239 individuals with diabetes but without cancer at baseline from five population-based cohorts in the USA (National Health and Nutrition Examination Survey and National Institutes of Health [NIH]-AARP Diet and Health Study), the UK (UK Biobank study) and China (Dongfeng-Tongji cohort and Kailuan study). Healthy lifestyle scores (range 0-5) were constructed based on current nonsmoking, low-to-moderate alcohol drinking, adequate physical activity, healthy diet and optimal bodyweight. Cox regressions were used to calculate HRs for cancer morbidity and mortality, adjusting for sociodemographic, medical and diabetes-related factors. RESULTS During 376,354 person-years of follow-up from UK Biobank and the two Chinese cohorts, 3229 incident cancer cases were documented, and 6682 cancer deaths were documented during 1,089,987 person-years of follow-up in the five cohorts. The pooled multivariable-adjusted HRs (95% CIs) comparing participants with 4-5 vs 0-1 healthy lifestyle factors were 0.73 (0.61, 0.88) for incident cancer and 0.55 (0.46, 0.67) for cancer mortality, and ranged between 0.41 and 0.63 for oesophagus, lung, liver, colorectum, breast and kidney cancers. Findings remained consistent across different cohorts and subgroups. CONCLUSIONS/INTERPRETATION This international cohort study found that adherence to combined healthy lifestyles was associated with lower risks of total cancer morbidity and mortality as well as several subtypes (oesophagus, lung, liver, colorectum, breast and kidney cancers) among individuals with diabetes.
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Affiliation(s)
- Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Xiu Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Ting-Ting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Feng Zhou
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen-Zhen Wan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun-Quan Guo
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kun Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Han-Dong Yang
- Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Shuo-Hua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Guo-Dong Wang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xu Han
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Centre, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Mei-An He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-Min Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lie-Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Rietz M, Lehr A, Mino E, Lang A, Szczerba E, Schiemann T, Herder C, Saatmann N, Geidl W, Barbaresko J, Neuenschwander M, Schlesinger S. Physical Activity and Risk of Major Diabetes-Related Complications in Individuals With Diabetes: A Systematic Review and Meta-Analysis of Observational Studies. Diabetes Care 2022; 45:3101-3111. [PMID: 36455117 PMCID: PMC9862380 DOI: 10.2337/dc22-0886] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 09/19/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND Physical activity is a cornerstone in diabetes management; however, evidence synthesis on the association between physical activity and long-term diabetes-related complications is scarce. PURPOSE To summarize and evaluate findings on physical activity and diabetes-related complications, we conducted a systematic review and meta-analysis. DATA SOURCES We searched PubMed, Web of Science, and the Cochrane Library for articles published up to 6 July 2021. STUDY SELECTION We included prospective studies investigating the association between physical activity and incidence of and mortality from diabetes-related complications, i.e., cardiovascular disease (CVD), coronary heart disease, cerebrovascular events, heart failure, major adverse cardiovascular events, and microvascular complications such as retinopathy and nephropathy, in individuals with diabetes. DATA EXTRACTION Study characteristics and risk ratios with 95% CIs were extracted. Random-effects meta-analyses were performed, and the certainty of evidence and risk of bias were evaluated with use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) and Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I) tools. DATA SYNTHESIS Overall, 31 studies were included. There was moderate certainty of evidence that high versus low levels of physical activity were inversely associated with CVD incidence, CVD mortality (summary risk ratio 0.84 [95% CI 0.77, 0.92], n = 7, and 0.62 [0.55, 0.69], n = 11), and microvascular complications (0.76 [0.67, 0.86], n = 8). Dose-response meta-analyses showed that physical activity was associated with lower risk of diabetes-related complications even at lower levels. For other outcomes, similar associations were observed but certainty of evidence was low or very low. LIMITATIONS Limitations include residual confounding and misclassification of exposure. CONCLUSIONS Physical activity, even below recommended amounts, was associated with reduced incidence of diabetes-related complications.
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Affiliation(s)
- Marlene Rietz
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Research Unit for Exercise Epidemiology (ExE), Department of Sports Science and Clinical Biomechanics, Syddansk Universitet, Odense, Denmark
| | - Alexander Lehr
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Eriselda Mino
- Department of Sport Science and Sport, Division Exercise and Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Edyta Szczerba
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
| | - Tim Schiemann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
- Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nina Saatmann
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
- Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Geidl
- Department of Sport Science and Sport, Division Exercise and Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany
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10
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Wang T, Ding C, Zhou W, Zhu L, Yu C, Huang X, Bao H, Cheng X. Associations of combined lifestyle behaviors with all-cause and cardiovascular mortality in adults: A population-based cohort study in Jiangxi Province of China. Front Public Health 2022; 10:942113. [PMID: 36388373 PMCID: PMC9651958 DOI: 10.3389/fpubh.2022.942113] [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: 07/26/2022] [Accepted: 10/05/2022] [Indexed: 01/25/2023] Open
Abstract
Background Data are limited on the impact of combined lifestyle behaviors on mortality in Jiangxi Province, China. Objective The study examined the association between combined lifestyle behaviors and all-cause and cardiovascular disease (CVD) mortality in Jiangxi province. Methods The baseline survey was completed in Jiangxi Province from November 2013 to August 2014. We conducted a follow-up on 12,608 participants of 35 years of age or older from July 2019 to October 2020. Four known lifestyle behaviors were evaluated: alcohol consumption, smoking, diet (AHEI scores), and physical activity. Cox regression analysis was performed to determine the association of combined lifestyle behaviors with all-cause and CVD mortality. Results During 65,083 person-years of follow-up, among the 11,622 participants (mean age 59.1 years; 40.1% men) 794 deaths occurred, including 375 deaths from CVD disease in this study. Compared to the favorable lifestyle group, the adjusted HR of all-cause mortality was 1.25 (95% CI, 1.03-1.53) for the intermediate lifestyle group and 1.37 (95% CI, 1.11-1.71) for the unfavorable lifestyle group. Compared to the favorable lifestyle group, the adjusted HR of CVD mortality was 1.50 (95% CI, 1.11-2.03) for the intermediate lifestyle group and 1.58 (95% CI, 1.14-2.20) for the unfavorable lifestyle group. Significant interactions of lifestyle and BMI (P for interaction <0.05) with the risk of all-cause mortality and CVD mortality were observed. Conclusion In the current study, we reaffirm the associations of combined lifestyle factors with total and CVD mortality in Jiangxi Province, our data suggest that an unfavorable lifestyle was associated with a substantially increased risk of all-cause and CVD mortality.
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Affiliation(s)
- Tao Wang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Congcong Ding
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, China
| | - Wei Zhou
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lingjuan Zhu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Chao Yu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiao Huang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, China
| | - Huihui Bao
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, China,*Correspondence: Huihui Bao
| | - Xiaoshu Cheng
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China,Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, China,Xiaoshu Cheng
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11
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Sun Z, Hu Y, Yu C, Guo Y, Pang Y, Sun D, Pei P, Yang L, Chen Y, Du H, Jin J, Burgess S, Hacker A, Chen J, Chen Z, Lv J, Li L. Low-risk Lifestyle and Health Factors and Risk of Mortality and Vascular Complications in Chinese Patients With Diabetes. J Clin Endocrinol Metab 2022; 107:e3919-e3928. [PMID: 35460564 PMCID: PMC9387694 DOI: 10.1210/clinem/dgac264] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND There is an evidence gap about whether a low-risk lifestyle is as important as achieving blood pressure (BP) and random blood glucose (RBG) control. OBJECTIVES To explore the long-term impacts and relative importance of low-risk lifestyle and health factors on the risk of all-cause and cancer mortality and macrovascular and microvascular complications among patients with diabetes. METHODS This study included 26,004 diabetes patients in the China Kadoorie Biobank. We defined 5 lifestyle factors (smoking, alcohol drinking, physical activity, fruit and vegetable intake, and waist-to-hip ratio) and 2 health factors (BP and RBG). Cox regression was used to yield adjusted hazard ratios (HRs) and CIs for individual and combined lifestyle and health factors with the risks of diabetes-related outcomes. RESULTS There were 5063 deaths, 6848 macrovascular complications, and 2055 microvascular complications that occurred during a median follow-up of 10.2 years. Combined low-risk lifestyle factors were associated with lower risk of all main outcomes, with HRs (95% CIs) for participants having 4 to 5 low-risk factors vs 0 to 1 of 0.50 (0.44-0.57) for all-cause mortality, 0.55 (0.43-0.71) for cancer mortality, 0.60 (0.54-0.67) for macrovascular complications, and 0.75 (0.62-0.91) for microvascular complications. The combined 4 to 5 low-risk lifestyle factors showed relative importance in predicting all-cause and cancer mortality and macrovascular complications. CONCLUSIONS Assuming causality exists, our findings suggest that adopting a low-risk lifestyle should be regarded as important as achieving ideal BP and glycemic goals in the prevention and management of diabetes-related adverse outcomes.
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Affiliation(s)
- Zhijia Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yizhen Hu
- 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
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Yuanjie Pang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | | | - Sushila Burgess
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Alex Hacker
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Jun Lv
- Correspondence: Jun Lv, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center; 38 Xueyuan Rd, Beijing 100191, China.
| | - 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
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12
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Chen S, Deng S, Liu Y, Yin T. Effects of Yoga on Blood Glucose and Lipid Profile of Type 2 Diabetes Patients Without Complications: A Systematic Review and Meta-Analysis. Front Sports Act Living 2022; 4:900815. [PMID: 35813055 PMCID: PMC9259958 DOI: 10.3389/fspor.2022.900815] [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: 03/21/2022] [Accepted: 05/27/2022] [Indexed: 11/22/2022] Open
Abstract
Background Type II diabetes mellitus (T2DM) has become a worldwide public health problem. Although it has been empirically established that physical activity is a promising therapeutical approach to the prevention and management of T2DM, the effectiveness of yoga on T2DM has not yet reached an agreement across studies and also needs an updated synthetic examination. Purpose The purpose of this study was to examine the effect of yoga training on diabetes-related indicators compared with usual care. Methods The review protocol of this study has been registered in the PROSPERO with a registration number CRD42021267868. A systematic literature search through electronic databases was conducted to identify yoga-based intervention (i.e., randomized controlled trial [RCT]; e.g., yogic postures, movements, breathing, and meditation) studies reporting outcomes on glycosylated hemoglobin (HbA1c), fasting blood glucose (FBG), postprandial blood glucose (PPBG), total cholesterol (TC), triglycerides (TG), and body mass index (BMI). A number of two researchers manually reviewed and assessed each article using the Cochrane Risk of Bias Tool 2.0. The literature search identified 296 eligible entries, of which 13 were finalized after screening using predefined inclusion and exclusion criteria. The extracted data (group mean and standard deviation at posttest) were synthesized using random-effects meta-analyses. Finally, potential moderators were explored using subgroup analysis and sensitivity analysis. Results The standardized mean difference for the effects of yoga was significant on HbA1c (MD = -0.47; 95%CI: -0.77, -0.16; Z = 3.02, p = 0.003), FBG (SMD = -0.92; 95%CI: -1.55, -0.29; Z = 2.87, p = 0.004), PPBG (SMD = -0.53; 95%CI: -0.86, -0.21; Z = 3.20, p = 0.001), and TG (SMD = -0.32; 95%CI: -0.54, -0.10; Z = 2.86, p = 0.004). However, yoga effect was not observed on TC (SMD = -0.84; 95%CI: -1.71, 0.04; Z = 1.87, p = 0.06) and BMI (MD = -0.63; 95%CI: -1.42, 0.16; Z = 1.57, p = 0.12). Conclusion The findings suggest that yoga can improve the biochemical indices of blood glucose and the lipid profile of patients with T2DM. Therefore, yoga can be prescribed as an effective and active complementary treatment for T2DM. However, this study only tested yoga as a short-term treatment. In the future, rigorous RCTs with a larger sample size may be carried out to examine the long-term effect of yoga on T2DM. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=267868, identifier: CRD42021267868.
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Edenbrandt AK, Ewers B, Storgaard H, Smed S. Dietary changes based on food purchase patterns following a type 2 diabetes diagnosis. Public Health Nutr 2022; 25:1-12. [PMID: 35713020 PMCID: PMC9991834 DOI: 10.1017/s1368980022001409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 03/17/2022] [Accepted: 05/30/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The study explores whether type 2 diabetes (T2D) diagnosis affects food consumption patterns in line with the dietary recommendations provided to individuals in relation to a diagnosis. DESIGN Based on detailed food purchase data, we explore which dietary changes are most common following a T2D diagnosis. Changes are investigated for several energy-adjusted nutrients and food groups and overall adherence to dietary guidelines. SETTING We use data on diagnosis of T2D and hospitalisation in relation to T2D for a sample of adult Danes registered in the official patient register. This is combined with detailed scanner data on food purchases, which are used as a proxy for dietary intake. PARTICIPANTS We included 274 individuals in Denmark who are diagnosed during their participation in a consumer panel where they report their food purchases and 16 395 individuals who are not diagnosed. RESULTS Results suggest some changes in dietary composition following diagnosis, as measured by a Healthy Eating Index and for specific food groups and nutrients, although the long-term effects are limited. Socio-economic characteristics are poor predictors of dietary changes following diagnosis. Change in diet following diagnosis vary with the pre-diagnosis consumption patterns, where individuals with relatively unhealthy overall diets prior to diagnosis improve overall healthiness more compared to individuals with relatively healthy diets prior to diagnosis. CONCLUSIONS Adherence to dietary advice is low, on average, but there is large variation in behavioural change between the diagnosed individuals. Our results stress the difficulty for diagnosed individuals to shift dietary habits, particularly in the long term.
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Affiliation(s)
- Anna Kristina Edenbrandt
- Department of Economics, Swedish University of Agricultural Sciences, Uppsala750 07Sweden
- University of Copenhagen, Department of Food and Resource Economics, Copenhagen, Denmark
| | - Bettina Ewers
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | | | - Sinne Smed
- University of Copenhagen, Department of Food and Resource Economics, Copenhagen, Denmark
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Chen Y, Su J, Qin Y, Luo P, Shen C, Pan E, Lu Y, Miao D, Zhang N, Zhou J, Yu X, Wu M. Fresh fruit consumption, physical activity, and five-year risk of mortality among patients with type 2 diabetes: A prospective follow-up study. Nutr Metab Cardiovasc Dis 2022; 32:878-888. [PMID: 35078677 DOI: 10.1016/j.numecd.2021.10.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 10/19/2021] [Accepted: 10/27/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND AIMS We explored the associations among fruit consumption, physical activity, and their dose-response relationship with all-cause and cardiovascular disease (CVD) mortality in type 2 diabetic patients. METHODS AND RESULTS We prospectively followed 20,340 community-dwelling type 2 diabetic patients aged 21-94 years. Information on diets and physical activity was collected using standardized questionnaires. All-cause and CVD mortality were assessed. Hazard ratios (HRs) for all-cause mortality were estimated with Cox regression models, and HRs for CVD mortality were derived from a competing risk model. Restricted cubic spline regression was used to analyze dose-response relationships. We identified 1362 deaths during 79,844 person-years. Compared to non-consumption, fruit consumption >42.9 g/d was inversely associated with all-cause mortality (HR 0.76; 95% CI 0.64-0.88), CVD mortality (HR 0.69, 0.51-0.94) and stroke mortality (HR 0.57, 0.36-0.89), but not with heart disease mortality (HR 0.93, 0.56-1.52). The HRs comparing the top vs bottom physical activity quartiles were 0.44 (0.37-0.53) for all-cause mortality, 0.46 (0.33-0.64) for CVD mortality, 0.46 (0.29-0.74) for stroke mortality and 0.51 (0.29-0.88) for heart disease mortality. Lower fruit consumption combined with a lower physical activity level was associated with a greater mortality risk. A nonlinear threshold of 80 g fruit/day was identified; all-cause mortality risk was reduced by approximately 24% at this value. A physical activity threshold of eight metabolic equivalents (MET) h/day was also identified, after which the risk of mortality did not decrease. CONCLUSIONS Fruit consumption and physical activity may reduce all-cause, CVD, and stroke mortality in type 2 diabetic patients.
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Affiliation(s)
- Yijia Chen
- Department of Non-communicable Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China
| | - Jian Su
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Yu Qin
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Pengfei Luo
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Enchun Pan
- Department of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, 223001, China
| | - Yan Lu
- Department of Chronic Disease Prevention and Control, Suzhou City Center for Disease Control and Prevention, Suzhou, 215003, China
| | - Dandan Miao
- Department of Chronic Disease Prevention and Control, Huai'an City Center for Disease Control and Prevention, Huai'an, 223001, China
| | - Ning Zhang
- Changshu County Center for Disease Control and Prevention, Suzhou, 215500, China
| | - Jinyi Zhou
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Xiaojin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Ming Wu
- Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
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15
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Fan JH, Wang JB, Yang H, Dawsey SM, Taylor PR, Qiao YL, Abnet CC. Combined Lifestyle Factors and Risk of All-Cause and Cause-Specific Mortality Among Participants in the Linxian Nutrition Intervention Trial: A Cohort, Observational Study. Front Cardiovasc Med 2022; 9:772617. [PMID: 35224031 PMCID: PMC8866236 DOI: 10.3389/fcvm.2022.772617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/14/2022] [Indexed: 01/20/2023] Open
Abstract
BackgroundSeveral studies have indicated that combinations of lifestyle and dietary factors are associated with risk of total mortality and death from cardiovascular disease and cancer, but limited data are available from long-term follow-up studies in China.MethodsThis study was a observational cohort study. We prospectively examined the associations of combined lifestyle factors and risk of total and cause-specific mortality in the Linxian General Population Nutrition Intervention Trial (NIT) cohort that included 29,584 healthy adults. A points system method was used to calculate a combined risk score of five lifestyle factors, including smoking, alcohol drinking, body mass index, vegetable intake and fruit intake. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs).ResultsOverall, adjusted hazard ratios for mortality increased progressively with an increasing combined risk score. Compared to individuals with a score of zero or one, HRs (95%CIs) for a score of five or above were 1.59 (1.44–1.75) for all-cause mortality, 1.67 (1.48–1.88) for heart disease, 1.69 (1.52–1.88) for stroke, and 1.34 (1.21, 1.47) for cancer. This association for mortality was seen consistently, regardless of gender and age at baseline.ConclusionsA higher combined risk score was positively associated with risk of total, heart disease, stroke, and cancer mortality. These findings could provide further evidence for the idea that healthy lifestyle is the optimal way to reduce the risk of premature death, and encourage behavior change.
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Affiliation(s)
- Jin-hu Fan
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian-bing Wang
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Huan Yang
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sanford M. Dawsey
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States
| | - Philip R. Taylor
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States
| | - You-lin Qiao
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: You-lin Qiao
| | - Christian C. Abnet
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States
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16
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Han H, Cao Y, Feng C, Zheng Y, Dhana K, Zhu S, Shang C, Yuan C, Zong G. Association of a Healthy Lifestyle With All-Cause and Cause-Specific Mortality Among Individuals With Type 2 Diabetes: A Prospective Study in UK Biobank. Diabetes Care 2022; 45:319-329. [PMID: 34857534 DOI: 10.2337/dc21-1512] [Citation(s) in RCA: 100] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/08/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate the association of a healthy lifestyle, involving seven low-risk factors mentioned in diabetes management guidelines (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, adequate sleep duration, and appropriate social connection), with all-cause and cause-specific mortality among individuals with type 2 diabetes. RESEARCH DESIGN AND METHODS This study included 13,366 participants with baseline type 2 diabetes from the UK Biobank free of cardiovascular disease (CVD) and cancer. Lifestyle information was collected through a baseline questionnaire. RESULTS During a median follow-up of 11.7 years, 1,561 deaths were documented, with 625 from cancer, 370 from CVD, 115 from respiratory disease, 81 from digestive disease, and 74 from neurodegenerative disease. In multivariate-adjusted model, each lifestyle factor was significantly associated with all-cause mortality, and hazard ratios associated with the lifestyle score (scoring 6-7 vs. 0-2 unless specified) were 0.42 (95% CI 0.34, 0.52) for all-cause mortality, 0.57 (0.41, 0.80) for cancer mortality, 0.35 (0.22, 0.56) for CVD mortality, 0.26 (0.10, 0.63) for respiratory mortality, and 0.28 (0.14, 0.53) for digestive mortality (scoring 5-7 vs. 0-2). In the population-attributable risk analysis, 29.4% (95% CI 17.9%, 40.9%) of deaths were attributable to a poor lifestyle (scoring 0-5). The association between a healthy lifestyle and all-cause mortality was consistent, irrespective of factors reflecting diabetes severity (diabetes duration, glycemic control, diabetes-related microvascular disease, and diabetes medication). CONCLUSIONS A healthy lifestyle was associated with a lower risk of all-cause mortality and mortality due to CVD, cancer, respiratory disease, and digestive disease among individuals with type 2 diabetes.
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Affiliation(s)
- Han Han
- 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, China
| | - Yaying Cao
- 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, China
| | - Chengwu Feng
- 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, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.,Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Klodian Dhana
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL
| | - Shu Zhu
- Hefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Cong Shang
- 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, China
| | - Changzheng Yuan
- Department of Big Data in Health Science, Zhejiang University School of Public Health, Hangzhou, China.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - 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, China.,Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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17
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Ban I, Sugawa H, Nagai R. Protein Modification with Ribose Generates Nδ-(5-hydro-5-methyl-4-imidazolone-2-yl)-ornithine. Int J Mol Sci 2022; 23:ijms23031224. [PMID: 35163152 PMCID: PMC8835445 DOI: 10.3390/ijms23031224] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/12/2022] [Accepted: 01/19/2022] [Indexed: 12/28/2022] Open
Abstract
Advanced glycation end products (AGEs) are associated with diabetes and its complications. AGEs are formed by the non-enzymatic reactions of proteins and reducing sugars, such as glucose and ribose. Ribose is widely used in glycation research as it generates AGEs more rapidly than glucose. This study analyzed the AGE structures generated from ribose-modified protein by liquid chromatography-quadrupole time-of-flight mass spectrometry. Among these AGEs, Nδ-(5-hydro-5-methyl-4-imidazolone-2-yl)-ornithine (MG-H1) was the most abundant in ribose-glycated bovine serum albumin (ribated-BSA) among others, such as Nε-(carboxymethyl) lysine, Nε-(carboxyethyl) lysine, and Nω-(carboxymethyl) arginine. Surprisingly, MG-H1 was produced by ribated-BSA in a time-dependent manner, whereas methylglyoxal levels (MG) were under the detectable level. In addition, Trapa bispinosa Roxb. hot water extract (TBE) possesses several anti-oxidative compounds, such as ellagic acid, and has been reported to inhibit the formation of MG-H1 in vivo. Thus, we evaluated the inhibitory effects of TBE on MG-H1 formation using ribose- or MG-modified proteins. TBE inhibited MG-H1 formation in gelatin incubated with ribose and ribated-BSA, but not in MG-modified gelatin. Furthermore, MG-H1 formation was inhibited by diethylenetriaminepentaacetic acid. These results demonstrated that ribose reacts with proteins to generate Amadori compounds and form MG-H1 via oxidation.
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18
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Vakilian P, Mahmoudi M, Oskouie F, Firouzian AA, Khachian A. Investigating the effect of educational intervention based on the Pender's health promotion model on lifestyle and self-efficacy of the patients with diabetic foot ulcer: A clinical trial. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2021; 10:466. [PMID: 35233413 PMCID: PMC8826777 DOI: 10.4103/jehp.jehp_1301_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 02/27/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND This study aimed to investigate the effect of educational intervention based on the Pender's health promotion model (HPM) on lifestyle and self-efficacy of the patients with diabetic foot ulcer. MATERIALS AND METHODS In this clinical trial conducted in 2019, 74 patients based on inclusion criteria were selected through convenience sampling and allocated to two groups of intervention (n = 37) and control (n = 37) using the randomized permuted block method. In this study, Demographic characteristics and localized Diabetes Foot Care Self-Efficacy Scale and Health-Promoting Lifestyle Profile Questionnaire for diabetic foot care were completed by two groups. The obtained data were analyzed using SPSS 16 and through descriptive and comparative statistics, independent t-test, paired t-test, and ANCOVA. RESULTS After the intervention, the mean score of the intervention group significantly increased in all lifestyle dimensions (P < 0.001). Furthermore, the mean score of self-effcacy increased in the intervention group after the intervention (P < 0.001). Comparing the change in the mean scores of lifestyle and self-efficacy in both the groups 50 days after the intervention, an increase was observed in the mean scores of self-efficacy (P < 0.001) as well as those of lifestyle and its dimensions in the intervention group compared to those in the control group (P < 0.001). CONCLUSION Educational intervention based on the Pender's HPM can promote the self-efficacy, lifestyle, and its dimensions in the patients with diabetic foot ulcers. The results of this study can be used in educational interventions aiming at patients with diabetic foot ulcers to change their lifestyle and improve their self-efficacy.
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Affiliation(s)
- Parya Vakilian
- Department of Medical Sergical Nursing, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Mokhtar Mahmoudi
- Department of Medical Surgical Nursing, School of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Fatemeh Oskouie
- Department of Medical Surgical Nursing, Nursing Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Asghar Firouzian
- Department of Medical Surgical Nursing, School of Nursing and Midwifery, Esfarayen University of Medical Sciences, Esfarayen, Iran
| | - Alice Khachian
- Department of Medical Surgical Nursing, Nursing Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
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19
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Association of lifestyle with mortality and the mediating role of aging among older adults in China. Arch Gerontol Geriatr 2021; 98:104559. [PMID: 34741896 DOI: 10.1016/j.archger.2021.104559] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/30/2021] [Accepted: 10/10/2021] [Indexed: 12/26/2022]
Abstract
OBJECTIVES 1) examine the association between lifestyle and mortality; 2) examine the association between two aging measures and mortality; 3) evaluate the mediating effect of the two aging measures on the association between lifestyle and mortality among older Chinese adults. METHODS We used data from 2039 older adults (≥ 65 years) from the 2011/2012 biomarker substudy of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). We created a healthy lifestyle index based on 5 factors (exercise, smoking, drinking, diet, and BMI, range: 0-5). We calculated two aging measures, the Klemera and Doubal method-biological age (KDM-BA) and physiological dysregulation (PD), based on 10 blood-based biomarkers using algorithms developed previously. A Cox proportional hazards model, general linear regression model, and formal mediation analysis were performed. RESULTS After adjustment for age and sex, compared to participants without any healthy lifestyle factors, those with 5 healthy lifestyle factors had an 85% lower risk of mortality (hazard ratio [HR] = 0.15, 95% confidence interval [CI]: 0.04, 0.60). PD, but not KDM-BA, was significantly associated with mortality (HR = 1.69, 95% CI: 1.25, 2.29). The healthy lifestyle index was negatively associated with PD (β = -0.021, P = 0.012). PD mediated 9% (95% CI: 1%, 52%, P = 0.043) of the total effect of the healthy lifestyle index on mortality. CONCLUSIONS In the older Chinese population, healthy lifestyle reduces mortality risk and aging partially mediates this association. The findings highlight the importance of adherence to a healthy lifestyle for promoting phenotypic aging even in late life.
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20
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Minas A, Talebi H, Taravat Ray M, Yari Eisalou M, Alves MG, Razi M. Insulin treatment to type 1 male diabetic rats protects fertility by avoiding testicular apoptosis and cell cycle arrest. Gene 2021; 799:145847. [PMID: 34274473 DOI: 10.1016/j.gene.2021.145847] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/27/2021] [Accepted: 07/13/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Uncontrolled type 1 diabetes mellitus (T1D) impairs reproductive potential of males. Insulin treatment restores metabolic parameters but it is unclear how it protects male reproductive health. Herein, we hypothesized that insulin treatment to T1D rats protects testicular physiology by mediating mechanisms associated with apoptosis and cell cycle. METHODS Mature male Wistar rats (n = 24) were divided into 3 groups: control, T1D-induced (received 40 mg kg-1 streptozotocin) and insulin-treated T1D (Ins T1D; received 40 mg kg-1 streptozotocin and then treated 0.9 IU/100 gr of insulin for 56 days) (N = 8/group). Expression levels of intrinsic apoptosis pathways regulators (Bcl-2, Bax, Caspase-3 and p53) and core regulators of cell cycle machinery (Cyclin D1, Cdk-4 and p21) were determined in testicular tissue by immunohistochemistry (IHC) and RT-PCR techniques. The percentage of testicular apoptotic cells was evaluated by TUNEL staining. RESULTS Our data shows that insulin treatment to T1D rats restored (P < 0.05) T1D-induced increased of caspase-3 and p53 expression in testis. Moreover, the testis of T1D rats treated with insulin exhibited increased expression of Cyclin D1 and cdk-4, and a reduced expression of p21 when compared with the expression in testis of T1D rats. Finally, insulin treatment could fairly control T1D-induced apoptosis. Accordingly, treatment of T1D rats with insulin led to a remarkable reduction (p < 0.05) in the percentage of apoptotic cells in the testis. CONCLUSIONS Insulin treatment is able to restore the network expression of apoptosis and proliferation-related genes caused by T1D in the testis and via this mechanism, preserve the fertility of males.
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Affiliation(s)
- Aram Minas
- Department of Surgery, Division of Urology, Human Reproduction Section, Universidade Federal de São Paulo - UNIFESP, São Paulo, Brazil
| | - Hatef Talebi
- Department of Basic Sciences, Faculty of Veterinary Medicine, Islamic Azad University, Urmia Branch, Urmia, Iran
| | - Morteza Taravat Ray
- Department of Basic Sciences, Faculty of Veterinary Medicine, Islamic Azad University, Urmia Branch, Urmia, Iran
| | - Mohammad Yari Eisalou
- Department of Basic Sciences, Faculty of Veterinary Medicine, Islamic Azad University, Urmia Branch, Urmia, Iran
| | - Marco G Alves
- Department of Anatomy and Unit for Multidisciplinary Research in Biomedicine (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Portugal
| | - Mazdak Razi
- Department of Basic Sciences, Faculty of Veterinary Medicine, Urmia University, P.O.BOX: 1177, Urmia, Iran.
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21
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Rozanski A, Gransar H, Hayes SW, Friedman JD, Thomson LEJ, Berman DS. Feasibility of Using an Ultrashort Lifestyle Questionnaire to Predict Future Mortality Risk among Patients with Suspected Heart Disease. Am J Cardiol 2021; 153:36-42. [PMID: 34215356 DOI: 10.1016/j.amjcard.2021.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/13/2021] [Accepted: 05/17/2021] [Indexed: 11/30/2022]
Abstract
Adverse health behaviors are potent drivers of chronic disease and premature mortality. This has led to the development of various lifestyle scores to predict clinical risk, but their complexity makes them impractical for use in clinical settings. Thus, there is a need to develop a brief lifestyle score that can assess factors such as exercise and diet within the constraints of routine medical practice. Accordingly, we assessed 19,081 patients undergoing coronary artery calcium (CAC) scanning between September 1, 1998 and December 30, 2016. Each patient completed a questionnaire that included a two-item lifestyle scale regarding patients' frequency of exercise and adherence to a low saturated fat diet. Patients' responses were used to generate a lifestyle score which ranged from very low risk to high risk. Patients were followed for a median of 11.0 years for all-cause mortality. A stepwise relationship was noted between worse lifestyle scores and increased frequency of hypertension, diabetes, smoking, obesity, waist/hip ratio, and resting heart rate and blood pressure. Among patients with zero CAC scores, mortality risk was low regardless of lifestyle score, but as CAC abnormality increased, a stepwise relationship emerged between worse lifestyle scores and mortality. The lifestyle score was more predictive of mortality than conventional CAD risk factors according to multivariable Chi-square analysis. Thus, our results establish the practicality of an ultrashort lifestyle questionnaire that could be employed in nearly all clinical settings. Within our study, our two-item lifestyle scale showed a stepwise relationship to known CAD risk factors and predicted future mortality.
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Affiliation(s)
- Alan Rozanski
- Department of Cardiology, Mount Sinai Morningside Hospital, Mount Sinai Heart, and the Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
| | - Heidi Gransar
- Department of Cardiology, Mount Sinai Morningside Hospital, Mount Sinai Heart, and the Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Sean W Hayes
- Department of Cardiology, Mount Sinai Morningside Hospital, Mount Sinai Heart, and the Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - John D Friedman
- Department of Cardiology, Mount Sinai Morningside Hospital, Mount Sinai Heart, and the Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Louise E J Thomson
- Department of Cardiology, Mount Sinai Morningside Hospital, Mount Sinai Heart, and the Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Daniel S Berman
- Department of Cardiology, Mount Sinai Morningside Hospital, Mount Sinai Heart, and the Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Imaging and Medicine and Burns and Allen Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
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22
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Li D, Jia Y, Yu J, Liu Y, Li F, Liu Y, Wu Q, Liao X, Zeng Z, Wan Z, Zeng R. Adherence to a Healthy Lifestyle and the Risk of All-Cause Mortality and Cardiovascular Events in Individuals With Diabetes: The ARIC Study. Front Nutr 2021; 8:698608. [PMID: 34291073 PMCID: PMC8287067 DOI: 10.3389/fnut.2021.698608] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 06/09/2021] [Indexed: 02/04/2023] Open
Abstract
Objective: The relationship between combined healthy lifestyle and cardiovascular (CV) events in diabetes is unclear. We aim to investigate the association between a healthy lifestyle score (HLS) and the risk of mortality and CV events in diabetes. Methods: We examined the associations of six lifestyle factors scores (including healthy diet, moderate alcohol and regular coffee intakes, never smoking, physical activity, and normal weight) with diabetes in the Atherosclerosis Risk in Communities (ARIC) study of 3,804 participants with diabetes from the United States at baseline. Primary outcomes included all-cause mortality, CV mortality, and composite CV events (heart failure hospitalizations, myocardial infarction, fatal coronary heart disease, and stroke). Results: Among these diabetic participants, 1,881 (49.4%), 683 (18.0%), and 1,600 (42.0%) cases of all-cause mortality, CV mortality, and CV events were documented, respectively, during the 26 years of follow-up. Further, the prevalence of these adverse events became lower with the increase of HLS (all P < 0.001). In the risk-factors adjusted Cox regression model, compared to participants with HLS of 0, participants with HLS of 2 had significant lower risk of all-cause mortality (HR = 0.811, 95% CI: 0.687–0.957, P = 0.013), CV mortality (HR = 0.744, 95% CI: 0.576–0.962, P = 0.024), and CV events (HR = 0.789, 95% CI: 0.661–0.943, P = 0.009). The association of HLS with CV events was stronger for women than men (P for interaction <0.05). Conclusion: Adherence to a healthy lifestyle was associated with a lower risk of CV events and mortality in diabetics. Our findings suggest that the promotion of a healthy lifestyle would help reduce the increasing healthcare burden of diabetes. Clinical Trial Registration:https://clinicaltrials.gov, Identifier: NCT00005131.
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Affiliation(s)
- Dongze Li
- Department of Emergency Medicine and National Clinical Research Center for Geriatrics, Research Laboratory of Emergency Medicine, Disaster Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Jia
- Department of Emergency Medicine and National Clinical Research Center for Geriatrics, Research Laboratory of Emergency Medicine, Disaster Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Yu
- West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Liu
- Department of Emergency Medicine and National Clinical Research Center for Geriatrics, Research Laboratory of Emergency Medicine, Disaster Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Fanghui Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yanmei Liu
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qinqin Wu
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyang Liao
- Department of General Practice and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Zhi Zeng
- Department of Emergency Medicine and National Clinical Research Center for Geriatrics, Research Laboratory of Emergency Medicine, Disaster Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhi Wan
- Department of Emergency Medicine and National Clinical Research Center for Geriatrics, Research Laboratory of Emergency Medicine, Disaster Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Rui Zeng
- Department of Emergency Medicine and National Clinical Research Center for Geriatrics, Research Laboratory of Emergency Medicine, Disaster Medicine Center, West China Hospital, Sichuan University, Chengdu, China.,Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
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23
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Yang R, Xu H, Pedersen NL, Li X, Yu J, Bao C, Qi X, Xu W. A healthy lifestyle mitigates the risk of heart disease related to type 2 diabetes: a prospective nested case-control study in a nationwide Swedish twin cohort. Diabetologia 2021; 64:530-539. [PMID: 33169206 PMCID: PMC7864843 DOI: 10.1007/s00125-020-05324-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 09/28/2020] [Indexed: 12/15/2022]
Abstract
AIMS/HYPOTHESIS We aimed to examine the association between type 2 diabetes and major subtypes of heart disease, to assess the role of genetic and early-life familial environmental factors in this association and to explore whether and to what extent a healthy lifestyle mitigates the risk of heart disease related to type 2 diabetes. METHODS In this prospective nested case-control study based on the Swedish Twin Registry, 41,463 twin individuals who were aged ≥40 and heart disease-free were followed up for 16 years (from 1998 to 2014) to detect incident heart disease. Type 2 diabetes was ascertained from self-report, the National Patient Registry and glucose-lowering medication use. Heart disease diagnosis (including coronary heart disease, cardiac arrhythmias and heart failure) and onset age were identified from the National Patient Registry. Healthy lifestyle-related factors consisted of being a non-smoker, no/mild alcohol consumption, regular physical activity and being non-overweight. Participants were divided into three groups according to the number of lifestyle-related factors: (1) unfavourable (participants who had no or only one healthy lifestyle factor); (2) intermediate (any two or three); and (3) favourable (four). Generalised estimating equation models for unmatched case-control design and conditional logistic regression for co-twin control design were used in data analyses. RESULTS Of all participants, 2304 (5.5%) had type 2 diabetes at baseline. During the observation period, 9262 (22.3%) had any incident heart disease. In unmatched case-control analyses and co-twin control analyses, the multi-adjusted OR and 95% CI of heart disease related to type 2 diabetes was 4.36 (3.95, 4.81) and 4.89 (3.88, 6.16), respectively. The difference in ORs from unmatched case-control analyses vs co-twin control analyses was statistically significant (OR 1.57; 95% CI 1.42, 1.73; p < 0.001). In stratified analyses by type 2 diabetes, compared with an unfavourable lifestyle, an intermediate lifestyle or a favourable lifestyle was associated with a significant 32% (OR 0.68; 95% CI 0.49, 0.93) or 56% (OR 0.44; 95% CI 0.30, 0.63) decrease in heart disease risk among patients with type 2 diabetes, respectively. There were significant additive and multiplicative interactions between lifestyle and type 2 diabetes on heart disease. CONCLUSIONS/INTERPRETATION Type 2 diabetes is associated with more than fourfold increased risk of heart disease. The association still remains statistically significant, even after fully controlling for genetic and early-life familial environmental factors. However, greater adherence to a healthy lifestyle may significantly mitigate the risk of heart disease related to type 2 diabetes. Graphical abstract.
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Affiliation(s)
- Rongrong Yang
- Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hui Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Big Data and Engineering Research Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Xuerui Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jing Yu
- Department of Physiology and Pathophysiology, School of Basic Medicine, Tianjin Medical University, Tianjin, China
| | - Cuiping Bao
- Department of Radiology, Tianjin Union Medical Centre, Tianjin, China
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Weili Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
- Aging Research Center, Department of Neurobiology, Health Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
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Drosera tokaiensis extract containing multiple phenolic compounds inhibits the formation of advanced glycation end-products. Arch Biochem Biophys 2020; 693:108586. [DOI: 10.1016/j.abb.2020.108586] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/08/2020] [Accepted: 09/09/2020] [Indexed: 12/17/2022]
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Samadian Z, Tofighi A, Razi M, Ghaderi Pakdel F, Tolouei Azar J. Effect of moderate-intensity exercise training on GDNF signaling pathway in testicles of rats after experimental diabetes type 1 induction. Diabetes Res Clin Pract 2020; 167:108332. [PMID: 32702470 DOI: 10.1016/j.diabres.2020.108332] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 06/27/2020] [Accepted: 07/14/2020] [Indexed: 01/23/2023]
Abstract
AIMS The spermatogenesis failure is reported as the main complication for diabetes and the moderate-intensity exercise (EX) is shown to ameliorate the diabetes-induced impairments both at spermatogenesis and sperm levels. Thus, the current study was done to investigate the possible effect of EX in the sole and simultaneous form with insulin on the network between Sertoli and spermatogonial stem cells (SSCs) by focusing on niche factor Glial cell-derived neurotrophic factor (GDNF). METHODS For this purpose, 30 mature male Wistar rats were divided into control and experimental type 1 diabetes (T1D)-induced groups. Then the T1D-induced animals were subdivided to sedentary T1D-induced (ST1D), EX + T1D, insulin (INS) + T1D and EX + INS + T1D groups. The general histological changes of testicles, mRNA and protein contents of GDNF and its special receptors gfrα1 and c-RET were evaluated and compared between groups. RESULTS EX in the sole and simultaneous form with INS significantly (p < 0.05) diminished the T1D-induced histological damages, amplified the GDNF expression, and enhanced the gfrα1 and c-RET mRNA and protein contents compared to ST1D group. CONCLUSION In conclusion, the EX in the sole form promotes spermatogenesis by up-regulating the GDNF signaling system. Moreover, EX remarkably amplifies the insulin-induced ameliorative effect on spermatogenesis.
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Affiliation(s)
- Zahra Samadian
- Department of Exercise Physiology and Corrective Exercises, Faculty of Sport Sciences, Urmia University, Urmia, Iran
| | - Asghar Tofighi
- Department of Exercise Physiology and Corrective Exercises, Faculty of Sport Sciences, Urmia University, Urmia, Iran.
| | - Mazdak Razi
- Department of Basic Sciences, Faculty of Veterinary Medicine, Urmia University, Urmia, Iran
| | - Firouz Ghaderi Pakdel
- Department of Physiology, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Javad Tolouei Azar
- Department of Exercise Physiology and Corrective Exercises, Faculty of Sport Sciences, Urmia University, Urmia, Iran
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Wu MY, Wang JB, Zhu Y, Lu JM, Li D, Yu ZB, Shen P, Jiang DJ, Lin HB, Chen K. Impact of Individual and Combined Lifestyle Factors on Mortality in China: A Cohort Study. Am J Prev Med 2020; 59:461-468. [PMID: 32417020 DOI: 10.1016/j.amepre.2020.01.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 01/15/2020] [Accepted: 01/16/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Although numerous studies have suggested that lifestyle-related factors are associated with chronic diseases and preventable deaths, limited evidence is available for the Chinese population. METHODS This study established a prospective cohort of >360,000 residents on the basis of the Yinzhou Health Information System in China during 2004-2017 and calculated the combined effects of lifestyle-related factors, including BMI, smoking, alcohol consumption, and physical activity, using a points system. A Cox regression model estimated the combined effects of lifestyle-related factors on total mortality, and a competing risk model estimated the combined effects on cancer and cardiovascular disease mortality. All data analyses were conducted in 2018‒2019. RESULTS During 3,755,879 person-years of follow-up, 11,791 deaths were identified, including 4,983 from cancer and 3,143 from cardiovascular disease. Having a standard BMI, never smoking, never drinking, and engaging in physical activity more than 4 times per week had protective effects on total mortality. Overall, the risk of total and cause-specific mortality increased with the increment of risk score. Compared with subjects in the lowest quartile, the risk of total and cause-specific mortality peaked among individuals in the fourth quartile (total mortality: hazard ratio=1.87, 95% CI=1.77, 1.98; cancer mortality: hazard ratio=2.05, 95% CI=1.87, 2.25; cardiovascular disease mortality: hazard ratio=1.51, 95% CI=1.35, 1.68). Sensitivity analyses excluding individuals with follow-up <3 years did not materially change the results. CONCLUSIONS The combined effects of lifestyle-related factors, including BMI, smoking, alcohol drinking, and physical activity, are associated with total, cancer, and cardiovascular disease mortality among the Chinese population.
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Affiliation(s)
- Meng-Yin Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Jian-Bing Wang
- Department of Epidemiology and Biostatistics, the Children's Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Yao Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Jie-Ming Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Die Li
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Zhe-Bin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Dan-Jie Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Hong-Bo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Kun Chen
- Department of Epidemiology and Biostatistics, Cancer Institute, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Lin CC, Liu CS, Li CI, Lin CH, Lin WY, Wang MC, Yang SY, Li TC. Dietary Macronutrient Intakes and Mortality among Patients with Type 2 Diabetes. Nutrients 2020; 12:nu12061665. [PMID: 32503241 PMCID: PMC7352168 DOI: 10.3390/nu12061665] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 05/29/2020] [Accepted: 06/01/2020] [Indexed: 11/16/2022] Open
Abstract
The best macronutrient percentages of dietary intake supporting longevity remains unclear. The strength of association between dietary intake and mortality in patients with type 2 diabetes (T2DM) should be quantified as a basis for dietary recommendations. Our study cohort consisted of 15,289 type 2 diabetic patients aged 30 years and older in Taiwan during 2001-2014 and was followed up through 2016. Percentages of macronutrient intakes were calculated as dietary energy intake contributed by carbohydrate, protein, and fat, divided by the total energy intake using a 24 h food diary recall approach. Cox proportional hazard models were applied to examine the temporal relation of macronutrient intakes with all-cause and cause-specific mortality. The average follow-up time was 7.4 years, during which 2,784 adults with T2DM died. After multivariable adjustment, people with fourth and fifth quintiles of total energy, second and third quintiles of carbohydrate, and fourth quintiles of protein intakes were likely to have lower risks of all-cause and expanded cardiovascular disease (CVD) mortality. People with fifth quintiles of total energy intake were likely to have decreased non-expanded CVD mortality. We found a significant interaction between gender and fat intake on all-cause and expanded CVD mortality. Fat intake was associated with all-cause, expanded and non-expanded CVD mortality among males with T2DM. Total energy, carbohydrate, and protein intakes were associated with lower risks of all-cause and expanded CVD mortality, with minimal risks observed at ≥1673 Kcal total energy, 43-52% carbohydrate intake, and 15-16% protein intake among people with T2DM.
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Affiliation(s)
- Cheng-Chieh Lin
- School of Medicine, College of Medicine, China Medical University, Taichung 404, Taiwan; (C.-C.L.); (C.-S.L.); (C.-I.L.); (C.-H.L.); (W.-Y.L.); (M.-C.W.)
- Department of Family Medicine, China Medical University Hospital, Taichung 404, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan
| | - Chiu-Shong Liu
- School of Medicine, College of Medicine, China Medical University, Taichung 404, Taiwan; (C.-C.L.); (C.-S.L.); (C.-I.L.); (C.-H.L.); (W.-Y.L.); (M.-C.W.)
- Department of Family Medicine, China Medical University Hospital, Taichung 404, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan
| | - Chia-Ing Li
- School of Medicine, College of Medicine, China Medical University, Taichung 404, Taiwan; (C.-C.L.); (C.-S.L.); (C.-I.L.); (C.-H.L.); (W.-Y.L.); (M.-C.W.)
- Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan
| | - Chih-Hsueh Lin
- School of Medicine, College of Medicine, China Medical University, Taichung 404, Taiwan; (C.-C.L.); (C.-S.L.); (C.-I.L.); (C.-H.L.); (W.-Y.L.); (M.-C.W.)
- Department of Family Medicine, China Medical University Hospital, Taichung 404, Taiwan
| | - Wen-Yuan Lin
- School of Medicine, College of Medicine, China Medical University, Taichung 404, Taiwan; (C.-C.L.); (C.-S.L.); (C.-I.L.); (C.-H.L.); (W.-Y.L.); (M.-C.W.)
- Department of Family Medicine, China Medical University Hospital, Taichung 404, Taiwan
| | - Mu-Cyun Wang
- School of Medicine, College of Medicine, China Medical University, Taichung 404, Taiwan; (C.-C.L.); (C.-S.L.); (C.-I.L.); (C.-H.L.); (W.-Y.L.); (M.-C.W.)
- Department of Family Medicine, China Medical University Hospital, Taichung 404, Taiwan
| | - Shing-Yu Yang
- Department of Public Health, College of Public Health, China Medical University, Taichung 404, Taiwan;
| | - Tsai-Chung Li
- Department of Public Health, College of Public Health, China Medical University, Taichung 404, Taiwan;
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
- Correspondence: ; Tel.: +886-4-2205-3366 (ext. 6605); Fax: +886-4-2207-8539
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Asril NM, Tabuchi K, Tsunematsu M, Kobayashi T, Kakehashi M. Predicting Healthy Lifestyle Behaviours Among Patients With Type 2 Diabetes in Rural Bali, Indonesia. CLINICAL MEDICINE INSIGHTS-ENDOCRINOLOGY AND DIABETES 2020; 13:1179551420915856. [PMID: 32341670 PMCID: PMC7171987 DOI: 10.1177/1179551420915856] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 03/06/2020] [Indexed: 12/13/2022]
Abstract
Background Type 2 diabetes is a lifelong metabolic disease closely related to unhealthy lifestyle behaviours. This study aimed to identify factors explaining the healthy lifestyle behaviours of patients with type 2 diabetes in rural Indonesia. The extended health belief model, demographic characteristics, clinical lifestyle factors and diabetes knowledge were investigated to provide a complete description of these behaviours. Method A sample of 203 patients with type 2 diabetes representing a cross-section of the population were recruited from community health centres in the rural areas of Bali province. The data were collected through questionnaires. Descriptive statistics and a hierarchical regression test were employed. Results This study showed demographic characteristics, clinical and lifestyle factors, diabetes knowledge and the extended health belief model accounted for 71.8% of the variance in healthy lifestyle behaviours of patients with type 2 diabetes in rural Indonesia. The significant demographic factors were age, education level, employment status and traditional beliefs. The significant clinical and lifestyle factors were alcohol use, diabetic medicine and duration of symptoms. Finally, the significant extended health belief model factors were perceived severity, susceptibility, barriers, family support, bonding social capital and chance locus of control. Conclusions The extended health belief model forms an adequate model for predicting healthy lifestyle behaviours among patients with diabetes in rural Indonesia. The contribution of this model should be strengthened in developing the diabetes management.
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Affiliation(s)
- Nice Maylani Asril
- Department of Health Informatics, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan.,Faculty of Education, Ganesha University of Education, Bali, Indonesia
| | - Keiji Tabuchi
- Department of Health Promotion and Development Science, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan
| | - Miwako Tsunematsu
- Department of Health Informatics, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan
| | - Toshio Kobayashi
- Department of General Internal Medicine, Ishii Memorial Hospital, Yamaguchi, Japan
| | - Masayuki Kakehashi
- Department of Health Informatics, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan
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Prevalence and Associated Lifestyle Factors of Suboptimal Health Status among Chinese Children Using a Multi-Level Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17051497. [PMID: 32110905 PMCID: PMC7084743 DOI: 10.3390/ijerph17051497] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 02/17/2020] [Accepted: 02/24/2020] [Indexed: 12/13/2022]
Abstract
Chinese children are facing health challenges brought by chronic non-communicable diseases, such as physical problems and psychological related health problems. Childhood represents a critical life period when the long-term dietary and lifestyle behaviors are formed. It is necessary to survey the prevalence of suboptimal health status (SHS) among Chinese children and to research the relationship between SHS and lifestyles. This study aimed to examine the prevalence of SHS among Chinese children using a large-scale population survey sample covering school students and nonstudent children, and clarified the relationships between SHS and lifestyle factors using multi-level models controlled for the cluster effect of location and the confounding effect of demographics. Multi-level generalized estimating equation models were used to examine the relationships between SHS and lifestyle factors. Prevalence ratios (PR) and 95% confidence intervals (CI) were used to assess the strength of these relationships. Of the 29,560 children, 14,393 reported one or more SHS symptoms, giving a SHS prevalence of 48.69%. The prevalence of SHS for boys (46.07%) was lower than that for girls (51.05%). After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, lifestyle factors associated with SHS were: less sleep duration, current smokers (PR = 1.085, 95%CI: 1.027–1.147), current drinkers (PR = 1.072, 95%CI: 1.016–1.131), children’ parents suffering from chronic diseases (PR = 1.294, 95%CI: 1.179–1.421), poor sleep quality (PR = 1.470, 95%CI: 1.394–1.550), stress (PR = 1.545, 95%CI: 1.398–1.707), negative life events (PR = 1.237, 95%CI: 1.088–1.406), hypertension (PR = 1.046, 95%CI: 1.009–1.084), unhealthy diet choice (PR = 1.091, 95%CI: 1.051–1.133) and irregular meal time (PR = 1.210, 95%CI: 1.163–1.259). Children who could exercise regularly (PR = 0.897, 95%CI: 0.868–0.927) and those with regular medical checkup (PR = 0.891, 95%CI: 0.854–0.929) were associated with lower prevalence probability of SHS. SHS has become a serious public health challenge for Chinese children. Unhealthy lifestyles were closely associated with SHS. Implementation of preventative strategies are needed to reduce the potential SHS burden associated with these widespread high-risk unhealthy lifestyle behaviors.
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Schlesinger S, Neuenschwander M, Ballon A, Nöthlings U, Barbaresko J. Adherence to healthy lifestyles and incidence of diabetes and mortality among individuals with diabetes: a systematic review and meta-analysis of prospective studies. J Epidemiol Community Health 2020; 74:481-487. [DOI: 10.1136/jech-2019-213415] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/29/2020] [Accepted: 02/03/2020] [Indexed: 12/14/2022]
Abstract
IntroductionLifestyle factors in combination have been hypothesised to be associated with the prevention of type 2 diabetes (T2D) and mortality among individuals with T2D. The aim was to conduct a systematic review and meta-analysis to quantify the association between lifestyle indices and incident T2D as well as mortality in individuals with T2D.MethodsPubMed and Web of Science were searched up to September 2019. We included prospective cohort studies investigating at least three lifestyle factors in association with T2D, or all-cause mortality in individuals with diabetes. We conducted pairwise and dose-response meta-analyses to calculate summary relative risks (SRR) by using random effects model.ResultsIn total, 19 studies were included. Adhering to a healthy lifestyle (mostly favourable diet, physical activity, non-smoking, moderate alcohol intake and normal weight) was associated with a reduced SRR of 78% for T2D (SRR: 0.22; 95% CI: 0.16 to 0.32; n=14) and 57% for mortality (SRR: 0.43; 95% CI: 0.31 to 0.58; n=5) compared with low adherence to a healthy lifestyle. In dose-response analyses, the adherence to every additional healthy lifestyle factor was associated with a reduced relative risk of 32% (95% CI: 28% to 36%) for T2D and 21% (95% CI: 15% to 26%) for mortality.ConclusionsOur findings underline the importance of the joint adherence to healthy lifestyle factors to prevent T2D and improve survival among individuals with diabetes. Adherence to every additional health lifestyle factor play a role in the T2D prevention and progression.PROSPERO registration numberCRD42018091409.
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Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17030763. [PMID: 31991741 PMCID: PMC7038125 DOI: 10.3390/ijerph17030763] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 01/21/2020] [Accepted: 01/22/2020] [Indexed: 11/17/2022]
Abstract
This study examined the prevalence of suboptimal health among Chinese adults based on a large-scale national survey and clarified the relationship between suboptimal health and lifestyle factors. We used multi-level generalized estimating equation models to examine the relationships between suboptimal health and lifestyle factors. Of the 48,978 respondents, 34,021 reported one or more suboptimal health symptoms, giving a suboptimal health status prevalence of 69.46%. After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, factors associated with suboptimal health were: current smoking (odds ratio (OR) = 1.083, 95% confidence interval (CI): 1.055-1.111), drinking alcohol (OR = 1.075, 95% CI: 1.025-1.127), family history of disease (OR = 1.203, 95% CI: 1.055-1.111), sleeping <6 h per day (OR = 1.235, 95% CI: 1.152-1.256), poor sleep quality (OR = 1.594, 95% CI: 1.515-1.676), stress (OR = 1.588, 95% CI: 1.496-1.686), negative life events (OR = 1.114, 95% CI: 1.045-1.187), unhealthy diet choices (OR = 1.093, 95% CI: 1.033-1.156), and not regularly having meals at fixed hours (OR = 1.231, 95% CI: 1.105-1.372). Respondents who exercised regularly had lower odds of having suboptimal health status (OR = 0.913, 95% CI: 0.849-0.983). Suboptimal health has become a serious public health challenge in China. The health status of the population could be effectively improved by improving lifestyle behaviors.
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Zhang Y, Pan XF, Chen J, Xia L, Cao A, Zhang Y, Wang J, Li H, Yang K, Guo K, He M, Pan A. Combined lifestyle factors and risk of incident type 2 diabetes and prognosis among individuals with type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. Diabetologia 2020; 63:21-33. [PMID: 31482198 DOI: 10.1007/s00125-019-04985-9] [Citation(s) in RCA: 168] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 07/19/2019] [Indexed: 12/14/2022]
Abstract
AIMS/HYPOTHESIS A healthy lifestyle has been widely recommended for the prevention and management of type 2 diabetes. However, no systematic review has summarised the relationship between combined lifestyle factors (including, but not limited to, smoking, alcohol drinking, physical activity, diet and being overweight or obese) and incident type 2 diabetes and risk of health outcomes among diabetic individuals. METHODS EMBASE and PubMed were searched up to April 2019 without language restrictions. References included in articles in relevant publications were also screened. Cohort studies investigating the combined associations of at least three lifestyle factors with incident type 2 diabetes and health outcomes among diabetic individuals were included. Reviewers were paired and independently screened studies, extracted data and evaluated study quality. Random-effects models were used to calculate summary HRs. Heterogeneity and publication bias tests were also conducted. RESULTS Compared with participants considered to have the least-healthy lifestyle, those with the healthiest lifestyle had a 75% lower risk of incident diabetes (HR 0.25 [95% CI 0.18, 0.35]; 14 studies with approximately 1 million participants). The associations were largely consistent and significant among individuals from different socioeconomic backgrounds and baseline characteristics. Among individuals with type 2 diabetes (10 studies with 34,385 participants), the HRs (95% CIs) were 0.44 (0.33, 0.60) for all-cause death, 0.51 (0.30, 0.86) for cardiovascular death, 0.69 (0.47, 1.00) for cancer death and 0.48 (0.37, 0.63) for incident cardiovascular disease when comparing the healthiest lifestyle with the least-healthy lifestyle. CONCLUSIONS/INTERPRETATION Adoption of a healthy lifestyle is associated with substantial risk reduction in type 2 diabetes and long-term adverse outcomes among diabetic individuals. Tackling multiple risk factors, instead of concentrating on one certain lifestyle factor, should be the cornerstone for reducing the global burden of type 2 diabetes.
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Affiliation(s)
- Yanbo Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junxiang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lu Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Anlan Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuge Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Wang
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiqi Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Yang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Kunquan Guo
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Meian He
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, China.
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Friedenreich CM, Stone CR, Cheung WY, Hayes SC. Physical Activity and Mortality in Cancer Survivors: A Systematic Review and Meta-Analysis. JNCI Cancer Spectr 2019; 4:pkz080. [PMID: 32337494 PMCID: PMC7050161 DOI: 10.1093/jncics/pkz080] [Citation(s) in RCA: 201] [Impact Index Per Article: 40.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 09/17/2019] [Accepted: 10/01/2019] [Indexed: 02/07/2023] Open
Abstract
Background Recommendations for improved survival after cancer through physical activity (PA) exist, although the evidence is still emerging. Our primary objective was to conduct a systematic review and meta-analysis of the association between prediagnosis and postdiagnosis PA and survival (cancer-specific, all-cause, and cardiovascular disease mortality) for all cancers and by tumor site. Secondary objectives were to examine the associations within population subgroups, by PA domain, and to determine the optimal dose of PA related to survival. Methods PubMed, EMBASE, and SportsDiscus databases were searched from inception to November 1, 2018. DerSimonian-Laird random-effects models were used to estimate the summary hazard ratios (HRs) and 95% confidence intervals (CI) for primary and secondary analyses and to conduct dose-response analyses. Results Evidence from 136 studies showed improved survival outcomes with highest vs lowest levels of prediagnosis or postdiagnosis total or recreational PA for all-cancers combined (cancer specific mortality: HR = 0.82, 95% CI = 0.79 to 0.86, and HR = 0.63, 95% CI = 0.53 to 0.75, respectively) as well as for 11 specific cancer sites. For breast and colorectal cancers, greater reductions were observed for postdiagnosis PA (HR = 0.58–0.63) compared with prediagnosis PA (HR = 0.80–0.86) for cancer-specific and all-cause mortality. Survival benefits through PA were observed in most subgroups (within sex, body mass index, menopausal status, colorectal subtypes, and PA domain) examined. Inverse dose-response relationships between PA and breast cancer-specific and all-cause mortality were observed, with steep reductions in hazards to 10–15 metabolic equivalent hours per week. Conclusion Higher prediagnosis and postdiagnosis levels of PA were associated with improved survival outcomes for at least 11 cancer types, providing support for global promotion of PA guidelines following cancer.
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Affiliation(s)
- Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, Canada.,Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Chelsea R Stone
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, Canada
| | - Winson Y Cheung
- Division of Medical Oncology, Tom Baker Cancer Centre, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, Canada.,Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sandra C Hayes
- Institute of Health and Biomedical Innovation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
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Wubishet BL, Harris ML, Forder PM, Acharya SH, Byles JE. Predictors of 15-year survival among Australian women with diabetes from age 76-81. Diabetes Res Clin Pract 2019; 150:48-56. [PMID: 30807777 DOI: 10.1016/j.diabres.2019.02.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 02/06/2019] [Accepted: 02/15/2019] [Indexed: 12/14/2022]
Abstract
AIMS To assess the impact of diabetes on the survival of older women, adjusted for other all-cause mortality predictors. METHODS Data were used from the 1921-26 cohort of the Australian Longitudinal Study on Women's Health, when the women were aged 76-81 years at baseline, with linkage to the National Death Index. Survival curves were plotted to compare the survival of women with no diabetes, incident diabetes and prevalent diabetes over 15 years. Cox proportional hazards models were used to examine the association between diabetes and all-cause mortality risks. RESULTS A total of 972 (11.7%) of 8296 eligible women reported either incident, 522 (6.3%) or prevalent, 450 (5.4%) diabetes. The median survival times were 10.1, 11.4 and 12.7 years among women with prevalent, incident and no diabetes, respectively. The risks of death were 30% [HR: 1.30 (95% CI: 1.16-1.45)] and 73% [HR: 1.73 (CI: 1.57-1.92)] higher for women with incident and prevalent diabetes compared to women without diabetes. These associations were sustained after controlling for demographics, body mass index, smoking status, comorbidities and health care use. CONCLUSIONS This study revealed that diabetes is associated with reduced survival probabilities for older women with minimal moderation after adjustment for other predictors. Our findings suggest that diabetes management guidelines for older women need to integrate factors such as comorbidities, smoking and being underweight to reduce the risk of mortality.
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Affiliation(s)
- Befikadu L Wubishet
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, NSW, Australia; Department of Pharmacy, Mekelle University, Mekelle, Tigray, Ethiopia.
| | - Melissa L Harris
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, NSW, Australia
| | - Peta M Forder
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, NSW, Australia
| | | | - Julie E Byles
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, NSW, Australia
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Cho J, Lee I, Park S, Jin Y, Kim D, Kim S, Kang H. Physical activity and all-cause mortality in Korean older adults. Ann Hum Biol 2018; 45:337-345. [DOI: 10.1080/03014460.2018.1478448] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Jinkyung Cho
- Sungkyunkwan University - Suwon Campus, Suwon, Republic of Korea
| | - Inhwan Lee
- College of Sport Science, Sungkyunkwan University - Suwon Campus, Suwon, Republic of Korea
| | - Soohyun Park
- Department of Sports Science, Korean Institute of Sports Science, Seoul, Republic of Korea
| | - Youngyun Jin
- College of Sport Science, Sungkyunkwan University - Suwon Campus, Suwon, Republic of Korea
| | - Donghyun Kim
- College of Sport Science, Sungkyunkwan University - Suwon Campus, Suwon, Republic of Korea
| | - Shinuk Kim
- Department of Civil Engineering, Sangmyung University - Cheonan Campus, Cheonan, Republic of Korea
| | - Hyunsik Kang
- College of Sport Science, Sungkyunkwan University - Suwon Campus, Suwon, Republic of Korea
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Liu G, Li Y, Hu Y, Zong G, Li S, Rimm EB, Hu FB, Manson JE, Rexrode KM, Shin HJ, Sun Q. Influence of Lifestyle on Incident Cardiovascular Disease and Mortality in Patients With Diabetes Mellitus. J Am Coll Cardiol 2018; 71:2867-2876. [PMID: 29929608 PMCID: PMC6052788 DOI: 10.1016/j.jacc.2018.04.027] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/29/2018] [Accepted: 04/03/2018] [Indexed: 01/02/2023]
Abstract
BACKGROUND Evidence is limited regarding the impact of healthy lifestyle practices on the risk of subsequent cardiovascular events among patients with diabetes. OBJECTIVES The purpose of this study was to examine the associations of an overall healthy lifestyle, defined by eating a high-quality diet (top two-fifths of Alternative Healthy Eating Index), nonsmoking, engaging in moderate- to vigorous-intensity physical activity (≥150 min/week), and drinking alcohol in moderation (5 to 15 g/day for women and 5 to 30 g/day for men), with the risk of developing cardiovascular disease (CVD) and CVD mortality among adults with type 2 diabetes (T2D). METHODS This prospective analysis included 11,527 participants with T2D diagnosed during follow-up (8,970 women from the Nurses' Health Study and 2,557 men from the Health Professionals Follow-Up Study), who were free of CVD and cancer at the time of diabetes diagnosis. Diet and lifestyle factors before and after T2D diagnosis were repeatedly assessed every 2 to 4 years. RESULTS There were 2,311 incident CVD cases and 858 CVD deaths during an average of 13.3 years of follow-up. After multivariate adjustment of covariates, the low-risk lifestyle factors after diabetes diagnosis were each associated with a lower risk of CVD incidence and CVD mortality. The multivariate-adjusted hazard ratios for participants with 3 or more low-risk lifestyle factors compared with 0 were 0.48 (95% confidence interval [CI]: 0.40 to 0.59) for total CVD incidence, 0.53 (95% CI: 0.42 to 0.66) for incidence of coronary heart disease, 0.33 (95% CI: 0.21 to 0.51) for stroke incidence, and 0.32 (95% CI: 0.22 to 0.47) for CVD mortality (all p trend <0.001). The population-attributable risk for poor adherence to the overall healthy lifestyle (<3 low-risk factors) was 40.9% (95% CI: 28.5% to 52.0%) for CVD mortality. In addition, greater improvements in healthy lifestyle factors from pre-diabetes to post-diabetes diagnosis were also significantly associated with a lower risk of CVD incidence and CVD mortality. For each number increment in low-risk lifestyle factors there was a 14% lower risk of incident total CVD, a 12% lower risk of coronary heart disease, a 21% lower risk of stroke, and a 27% lower risk of CVD mortality (all p < 0.001). Similar results were observed when analyses were stratified by diabetes duration, sex/cohort, body mass index at diabetes diagnosis, smoking status, and lifestyle factors before diabetes diagnosis. CONCLUSIONS Greater adherence to an overall healthy lifestyle is associated with a substantially lower risk of CVD incidence and CVD mortality among adults with T2D. These findings further support the tremendous benefits of adopting a healthy lifestyle in reducing the subsequent burden of cardiovascular complications in patients with T2D.
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Affiliation(s)
- Gang Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Geng Zong
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Shanshan Li
- Boston University School of Medicine, Clinical Epidemiology Unit, Boston, Massachusetts
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Kathryn M Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Hyun Joon Shin
- Department of Medicine, Brigham and Women's Hospital, Veterans Affairs Boston Healthcare System, Harvard Medical School, Boston, Massachusetts
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
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Mondal S, Kundu B, Saha S. Yoga as a Therapeutic Intervention for the Management of Type 2 Diabetes Mellitus. Int J Yoga 2018; 11:129-138. [PMID: 29755222 PMCID: PMC5934948 DOI: 10.4103/ijoy.ijoy_74_16] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Purpose This study aimed to investigate the effects of 12 weeks yogic intervention on blood sugar and lipid profile in elder women with Type 2 diabetes mellitus (T2DM). Subjects and Methods Twenty elderly (age range 55-70 years) T2DM women were divided into two groups, namely, yogic intervention group (YIG: n = 10, age 64.70 ± 4.03, body mass index [BMI] 24.26 ± 3.40) and control group (CG: n = 10, age 64.40 ± 4.79, BMI 24.28 ± 2.36). YIG underwent yoga practice (Asanas, Kriyas, Pranayamas) for 12 weeks (3 sessions/week), while the CG continued their usual routine activities. Standing height, body weight, BMI, blood sugar, and lipid profile were measured before commencement and after 6 and 12 weeks of yogic intervention in both groups. Results There was a significant (P < 0.01) decrease in fasting plasma glucose, postprandial blood sugar, total cholesterol, triglycerides, low-density lipoprotein, and very low density lipoprotein, with a significant (P < 0.01) increase in high-density lipoprotein level from its initial value in YIG, while showing insignificant result in CG. Conclusion It can be said that yogic intervention may have the beneficial effects on blood sugar and lipid profile in elderly women with T2DM.
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Affiliation(s)
- Santwana Mondal
- Department of Physical Education, Kandra Radha Kanta Kundu Mahavidyalaya, Kandra, Burdwan, West Bengal, India
| | - Brajanath Kundu
- Department of Physical Education, Visva-Bharati University, Santiniketan, West Bengal, India
| | - Sukanta Saha
- Department of Physical Education, Memari College, Memari, Burdwan, West Bengal, India
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Cheng HP, Chen CH, Lin MH, Wang CS, Yang YC, Lu FH, Wu JS, Lin SI. Gender differences in the relationship between walking activity and sleep disturbance among community-dwelling older adult with diabetes in Taiwan. J Women Aging 2017; 31:108-116. [PMID: 29272219 DOI: 10.1080/08952841.2017.1413830] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This study explored the gender differences in the relationship between walking activity and sleep disturbances. A cross-sectional study of 201 community-dwelling older adults with diabetes was conducted in southern Taiwan. Using the Taiwanese version of the International Physical Activity Questionnaire, self-administered short version (IPAQ-SS), information on physical activity and sleep disturbance conditions was collected. Among older female adults with diabetes, 54.2% reported sleep disturbance significantly higher than males (38.1%). Logistic regression analysis suggested that for women, in addition to the active group, older adults in the low-active, high-walking group exhibited a significantly lower rate of sleep disturbance than did those who walked less.
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Affiliation(s)
- Hui-Ping Cheng
- a International Doctoral Program in Nursing, College of Medicine, National Cheng Kung University , Tainan , Taiwan
| | - Ching-Huey Chen
- b Department of Nursing , Chang Jung Christian University , Tainan , Taiwan
| | - Ming-Hsing Lin
- c Department of Family Medicine , Tainan Hospital, Ministry of Health and Welfare , Tainan , Taiwan
| | | | - Yi-Ching Yang
- c Department of Family Medicine , Tainan Hospital, Ministry of Health and Welfare , Tainan , Taiwan.,e Department of Family Medicine , National Cheng Kung University , Tainan , Taiwan
| | - Feng-Hwa Lu
- e Department of Family Medicine , National Cheng Kung University , Tainan , Taiwan
| | - Jin-Shang Wu
- e Department of Family Medicine , National Cheng Kung University , Tainan , Taiwan
| | - Sang-I Lin
- f Department of Physical Therapy , National Cheng Kung University , Tainan , Taiwan
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Adherence to healthy lifestyle factors and risk of death in men with diabetes mellitus: The Physicians' Health Study. Clin Nutr 2016; 37:139-143. [PMID: 27866759 DOI: 10.1016/j.clnu.2016.11.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 11/04/2016] [Accepted: 11/04/2016] [Indexed: 11/21/2022]
Abstract
BACKGROUND & AIMS The relationship between healthy lifestyle factors and mortality in people with type 2 diabetes is unclear. The purpose of this study was to examine whether healthy lifestyle factors are associated with mortality in people with type 2 diabetes. METHODS We prospectively studied 1163 men with type 2 diabetes from the Physicians' Health Study. Lifestyle factors consisted of currently not smoking, moderate drinking (1-2 drinks/day), vigorous exercise (1+/week), BMI < 25 kg/m2, and being in the top 2 quintiles of the alternate healthy eating index-2010 (AHEI-2010). Multivariate Cox regression models were used to estimate hazard ratios (95% confidence intervals) of mortality. RESULTS At baseline, average age was 69 years and mean follow up was 9 years. About 22% of study participants had ≤1 healthy lifestyle factor, 37% had two, 29% had three, and 12% had four or more healthy lifestyle factors. An inverse relationship was found between the number of lifestyle factors and total mortality. Compared with participants who had ≤1 healthy lifestyle factor, the risk of death was 42% (95% CI; 19%-58%) lower for those with two healthy lifestyle factors, 41% (95% CI; 18%-58%) lower for those with three, and 44% (95% CI; 12%-64%) lower for those with 4 or more healthy lifestyle factors. CONCLUSION Adherence to modifiable healthy lifestyle factors is associated with a lower risk of death among adult men with type 2 diabetes. Our study emphasizes the importance of educating individuals with diabetes to adhere to healthy lifestyle factors.
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Cui J, Yan JH, Yan LM, Pan L, Le JJ, Guo YZ. Effects of yoga in adults with type 2 diabetes mellitus: A meta-analysis. J Diabetes Investig 2016; 8:201-209. [PMID: 27370357 PMCID: PMC5334310 DOI: 10.1111/jdi.12548] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 05/22/2016] [Accepted: 06/29/2016] [Indexed: 12/22/2022] Open
Abstract
Aims/Introduction A meta‐analysis was carried out to evaluate the efficacy of yoga in adults with type 2 diabetes mellitus. Materials and Methods The PubMed, EMBASE and Cochrane databases were searched to obtain eligible randomized controlled trials. The primary outcome was fasting blood glucose, and the secondary outcomes included glycosylated hemoglobin A1c, total cholesterol, high‐density lipoprotein cholesterol, low‐density lipoprotein cholesterol, triglyceride and postprandial blood glucose. Weighted mean differences and 95% confidence intervals (CIs) were calculated. The I2 statistic represented heterogeneity. Results A total of 12 randomized controlled trials with a total of 864 patients met the inclusion criteria. The pooled weighted mean differences were −23.72 mg/dL (95% CI −37.78 to −9.65; P = 0.001; I2 = 82%) for fasting blood glucose and −0.47% (95% CI −0.87 to −0.07; P = 0.02; I2 = 82%) for hemoglobin A1c. The weighted mean differences were −17.38 mg/dL (95% CI −27.88 to −6.89; P = 0.001; I2 = 0%) for postprandial blood glucose, −18.50 mg/dL (95% CI −29.88 to −7.11; P = 0.001; I2 = 75%) for total cholesterol, 4.30 mg/dL (95% CI 3.25 to 5.36; P < 0.00001; I2 = 10%) for high‐density lipoprotein cholesterol, −12.95 mg/dL (95% CI −18.84 to −7.06; P < 0.0001; I2 = 37%) for low‐density lipoprotein cholesterol and −12.57 mg/dL (95% CI −29.91 to 4.76; P = 0.16; I2 = 48%) for triglycerides. Conclusions The available evidence suggests that yoga benefits adult patients with type 2 diabetes mellitus. However, considering the limited methodology and the potential heterogeneity, further studies are necessary to support our findings and investigate the long‐term effects of yoga in type 2 diabetes mellitus patients.
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Affiliation(s)
- Jie Cui
- Glorious Sun School of Business and Management, Donghua University, Shanghai, China.,Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jun-Hong Yan
- Department of Clinical Medical Technology, Binzhou Medical University Hospital, Binzhou, China
| | - Li-Ming Yan
- Department of Clinical Outpatient, Binzhou Medical University Hospital, Binzhou, China
| | - Lei Pan
- Department of Critical Care Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - Jia-Jin Le
- Glorious Sun School of Business and Management, Donghua University, Shanghai, China
| | - Yong-Zhong Guo
- Department of Respiratory Medicine, Xuzhou Central Hospital, The Affiliated Xuzhou Center Hospital of Nanjing University of Chinese Medicine, Xuzhou, China
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Innes KE, Selfe TK. Yoga for Adults with Type 2 Diabetes: A Systematic Review of Controlled Trials. J Diabetes Res 2015; 2016:6979370. [PMID: 26788520 PMCID: PMC4691612 DOI: 10.1155/2016/6979370] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 08/19/2015] [Accepted: 08/26/2015] [Indexed: 12/29/2022] Open
Abstract
A growing body of evidence suggests yogic practices may benefit adults with type 2 diabetes (DM2). In this systematic review, we evaluate available evidence from prospective controlled trials regarding the effects of yoga-based programs on specific health outcomes pertinent to DM2 management. To identify qualifying studies, we searched nine databases and scanned bibliographies of relevant review papers and all identified articles. Controlled trials that did not target adults with diabetes, included only adults with type 1 diabetes, were under two-week duration, or did not include quantitative outcome data were excluded. Study quality was evaluated using the PEDro scale. Thirty-three papers reporting findings from 25 controlled trials (13 nonrandomized, 12 randomized) met our inclusion criteria (N = 2170 participants). Collectively, findings suggest that yogic practices may promote significant improvements in several indices of importance in DM2 management, including glycemic control, lipid levels, and body composition. More limited data suggest that yoga may also lower oxidative stress and blood pressure; enhance pulmonary and autonomic function, mood, sleep, and quality of life; and reduce medication use in adults with DM2. However, given the methodological limitations of existing studies, additional high-quality investigations are required to confirm and further elucidate the potential benefits of yoga programs in populations with DM2.
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Affiliation(s)
- Kim E. Innes
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV 26506, USA
- Center for the Study of Complementary and Alternative Therapies, University of Virginia Health System, Charlottesville, VA 22903, USA
| | - Terry Kit Selfe
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV 26506, USA
- Center for the Study of Complementary and Alternative Therapies, University of Virginia Health System, Charlottesville, VA 22903, USA
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Clustering of lifestyle characteristics and their association with cardio-metabolic health: the Lifestyles and Endothelial Dysfunction (EVIDENT) study. Br J Nutr 2015; 114:943-51. [DOI: 10.1017/s0007114515002500] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractLittle is known about the clustering patterns of lifestyle behaviours in adult populations. We explored clusters in multiple lifestyle behaviours including physical activity (PA), smoking, alcohol use and eating habits in a sample of adult population. A cross-sectional and multi-centre study was performed with six participating groups distributed throughout Spain. Participants (n 1327) were part of the Lifestyles and Endothelial Dysfunction (EVIDENT) study and were aged between 20 and 80 years. The lifestyle and cardiovascular risk (CVR) factors were analysed using a clustering method based on the HJ-biplot coordinates to understand the variables underlying these groupings. The following three clusters were identified. Cluster 1: unhealthy, 677 subjects (51 %), with a slight majority of men (58·7 %), who were more sedentary and smokers with higher consumption of whole-fat dairy products, bigger waist circumference as well as higher TAG levels, systolic blood pressure (SBP) and CVR. Cluster 2: healthy/PA, 265 subjects (20 %), including 24·0 % of males with high PA. Cluster 3: healthy/diet, including 29 % of the participants, with a higher consumption of olive oil, fish, fruits, nuts, vegetables and lower alcohol consumption. Using the unhealthy cluster as a reference, and after adjusting for age and sex, the multiple regression analysis showed that belonging to the healthy/PA cluster was associated with a lower waist circumference, body fat percentage, SBP and CVR. In summary, the three clusters were identified according to lifestyles. The ‘unhealthy’ cluster had the least favourable clinical parameters, the ‘healthy/PA’ cluster had good HDL-cholesterol levels and low SBP and the ‘healthy/diet’ cluster had lower LDL-cholesterol levels and clinical blood pressure.
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Ramírez-Prado D, Palazón-Bru A, Folgado-de-la Rosa DM, Carbonell-Torregrosa MÁ, Martínez-Díaz AM, Gil-Guillén VF. Predictive models for all-cause and cardiovascular mortality in type 2 diabetic inpatients. A cohort study. Int J Clin Pract 2015; 69:474-84. [PMID: 25234387 DOI: 10.1111/ijcp.12563] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 08/31/2014] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Many authors have analysed premature mortality in cohorts of type 2 diabetic patients, but no analyses have assessed mortality in hospitalised diabetic patients. AIM To construct predictive models to estimate the likelihood of all-cause mortality and cardiovascular mortality in type 2 diabetic inpatients. DESIGN Cohort study with follow-up from 2010 to 2014. METHODS We evaluated mortality in a randomly selected cohort of 112 type 2 diabetic inpatients at the Hospital of Elda (Spain) in 2010-2012. OUTCOMES all-cause mortality and cardiovascular mortality during the follow-up. Other variables: gender, age, depression, asthma/chronic obstructive pulmonary disease, hypertension, dyslipidemia, insulin, pills, smoking, walking, baseline blood glucose and creatinine. Predictive tables with risk groups were constructed to estimate the likelihood of all-cause mortality and cardiovascular mortality. Calculations were made of the area under the ROC curve (AUC). RESULTS During the follow-up, 52 inpatients died (46.4%, 95% CI, confidence interval: 37.2-55.7%), 22 because of cardiovascular causes (19.6%, 95% CI: 12.3-27.0%). The mean follow-up time was 2.7 ± 1.5 years. The AUC for the all-cause mortality model was 0.84 (95% CI: 0.77-0.92, p < 0.001). Associated parameters: pills, smoking, walking, gender, insulin and age. The AUC for the cardiovascular mortality model was 0.79 (95% CI: 0.67-0.91, p < 0.001). Associated parameters: age, pills, walking, smoking, depression and insulin. CONCLUSIONS This study provides tools to predict premature mortality in type 2 diabetic inpatients. However, before their general application they require joint validation by the internal medicine unit, emergency department, primary healthcare unit and endocrinology service to enable better prediction of the prognosis and more adequate decision-taking.
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Affiliation(s)
- D Ramírez-Prado
- Research Unit, Elda Hospital, Elda, Spain; Department of Clinical Medicine, Miguel Hernández University, San Juan de Alicante, Spain
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Joubert M, Metayer L, Prevost G, Morera J, Rod A, Cailleux A, Parienti JJ, Reznik Y. Neuromuscular electrostimulation and insulin sensitivity in patients with type 2 diabetes: the ELECTRODIAB pilot study. Acta Diabetol 2015; 52:285-91. [PMID: 25107502 DOI: 10.1007/s00592-014-0636-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Accepted: 07/23/2014] [Indexed: 01/31/2023]
Abstract
AIM Physical activity (PA) improves insulin sensitivity and is particularly important for type 2 diabetes (T2D) management; however, patient adherence is poor. Neuromuscular electrostimulation (NMES) is widely used for rehabilitation issues, but the metabolic impact of provoked involuntary muscular contractions has never been investigated. MATERIALS AND METHODS ELECTRODIAB is a prospective, bi-centric, and 4-week-long pilot study that enrolled 18 patients with T2D who did not require insulin treatment. Insulin sensitivity was evaluated by euglycemic hyperinsulinemic clamp before and after (1) a single NMES session and (2) a week of daily NMES training. Energy expenditure (EE) at baseline and during NMES was evaluated by indirect calorimetry. Dietary and background PA were monitored to avoid bias. RESULTS After a single session (T1) or a week (T2) of NMES training, insulin sensitivity (M value) increased by 9.3 ± 38.2 % (ns) and 24.9 ± 35.8 % (p = 0.009), respectively, compared with the baseline (T0). Insulin sensitivity increased up to 46.2 ± 33.8 % (p = 0.002) at T2 in the more insulin-resistant subjects (baseline M value ≤4 mg/Kg/min, n = 10). The NMES session-generated EE was 1.42 ± 9.27 kcal/h, which was not significantly increased from the baseline. CONCLUSIONS Insulin sensitivity was significantly improved in patients with T2D after 1 week of daily NMES training, with very low EE. NMES could be an alternative to conventional PA, but the putative mechanisms of action must still be investigated.
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Affiliation(s)
- Michael Joubert
- Diabetes Care Unit, University Hospital of Caen, Caen, France,
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Hu CS, Wu QH, Hu DY. Cardiovascular, diabetes, and cancer strips: evidences, mechanisms, and classifications. J Thorac Dis 2014; 6:1319-28. [PMID: 25276377 DOI: 10.3978/j.issn.2072-1439.2014.07.15] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 06/17/2014] [Indexed: 01/30/2023]
Abstract
OBJECTIVES To report and name firstly that there are cardiovascular disease (CVD), diabetes mellitus (DM) and cancers (CDC) strips; and disclose their mechanisms, classifications, and clinical significances. STUDY DESIGN Narrative and systematic review study and interpretive analysis. METHODS DATA SOURCES AND STUDY SELECTION to collect and present related evidences on CDC strips from evidence-based, open-access, both Chinese- and English-language literatures in recent 10 years on clinical trials from PubMed according to keywords "CVD, DM and cancers" as well as authors' extensive clinical experience with the treatment of more than fifty thousands of patients with CVD, diabetes and cancers over the past decades, and analyze their related mechanisms and categories which based on authors' previous works. DATA EXTRACTION data were mainly extracted from 48 articles which are listed in the reference section of this review. Qualitative, quantitative and mixed data were included, narratively and systematically reviewed. RESULTS With several conceptual and technical breakthrough, authors present related evidences on CDC strips, these are, CVD and DM, DM and cancers, cancers and CVD linked, respectively; And "Bad SEED" +/- "bad soil" theory or doctrine may explain this phenomenon due to "internal environmental injure, abnormal or unbalance" in human body resulting from the role of risk factors (RFs) related multi-pathways and multi-targets, which including organ & tissue (e.g., vascular-specific), cell and gene-based mechanisms. Their classifications include main strips/type B, and Branches/type A as showed by tables and figures in this article. CONCLUSIONS There are CDC strips and related mechanisms and classifications. CDC strips may help us to understand, prevent, and control related common non-communicable diseases (NCDs) as well as these high risk strips.
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Affiliation(s)
- Chun-Song Hu
- 1 Department of Cardiovascular Medicine, Nanchang University, Nanchang 330006, China ; 2 Cardiovascular Center, Peking University People's Hospital, Beijing 100044, China
| | - Qing-Hua Wu
- 1 Department of Cardiovascular Medicine, Nanchang University, Nanchang 330006, China ; 2 Cardiovascular Center, Peking University People's Hospital, Beijing 100044, China
| | - Da-Yi Hu
- 1 Department of Cardiovascular Medicine, Nanchang University, Nanchang 330006, China ; 2 Cardiovascular Center, Peking University People's Hospital, Beijing 100044, China
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Saffari M, Karimi T, Koenig HG, Al-Zaben F. Psychometric evaluation of the Persian version of the Type 2 Diabetes and Health Promotion Scale (T2DHPS): a diabetes-specific measure of lifestyle. Scand J Caring Sci 2014; 29:603-12. [PMID: 25236973 DOI: 10.1111/scs.12181] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2014] [Accepted: 08/09/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND A healthy lifestyle is important for maintaining health and preventing complications in patients with type 2 diabetes, and yet, few instruments are available to measure this. AIM The aim of the present study was to examine the psychometrics of a recently developed tool that can be used to screen for a health-promoting lifestyle in patients with type 2 diabetes. METHODS Data were collected from outpatients attending diabetes clinics. The Type 2 Diabetes and Health Promotion Scale (T2DHPS), EQ-5D, medical records and a demographic questionnaire were administered to 368 participants. Forward-backward translation of the original English version was used to develop a Persian version. Internal consistency of the scale was assessed by Cronbach's alpha and item-to-total correlation. Acceptability was measured by assessing floor and ceiling effects for each item and subscale. The item scaling test was used to examine the convergent and discriminant validity of the measure. Pearson correlation was used to determine the predictive validity of the scale. An explanatory factor analysis and known-group method were used to establish construct validity. RESULTS Adjusted item-total correlations were higher than 0.20. Cronbach's alpha for the 28-item scale was 0.88 and for subscales ranged from 0.53 to 0.94. Correlations between the total score and subscale scores were significant (<0.01) and adequate (r's ≥ 0.53). There were significant relationships between the T2DHPS and both the EQ-5D and indicators of glycaemic control. Convergent and discriminant validity of the scale was established. Significant differences in lifestyle dimensions were present between different groups of patients, demonstrating known-group validity. A six-factor solution was obtained that explained 54.6% of the total variance. CONCLUSION The T2DHPS is a valid and reliable tool for investigating lifestyle behaviours in patients with type 2 diabetes. Further studies to establish the psychometric properties of the scale in other languages and cultures are suggested.
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Affiliation(s)
- Mohsen Saffari
- Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.,Health Education Department, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Tooba Karimi
- Health Education Department, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Harold G Koenig
- Duke University Medical Center, Durham, NC, USA.,Department of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Faten Al-Zaben
- Department of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
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Thomas GN, Wang MP, Ho SY, Mak KH, Cheng KK, Lam TH. Adverse lifestyle leads to an annual excess of 2 million deaths in China. PLoS One 2014; 9:e89650. [PMID: 24586936 PMCID: PMC3935915 DOI: 10.1371/journal.pone.0089650] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2013] [Accepted: 01/24/2014] [Indexed: 11/26/2022] Open
Abstract
Background Adverse lifestyle factors have been associated with increased mortality, but data are lacking on their combined effect in developing populations, which we address in the present study. Methods In a death registry-based, case-control study among Hong Kong Chinese aged 30+y, proxy-reported lifestyle factors 10 y ago were collected for 21,363 cases (81% of all deaths) and 12,048 living controls. Risks associated with poor diet, inactivity, heavy alcohol intake, and smoking for all-cause and cause-specific mortality, adjusting for potential confounders, were determined, and excess deaths for the Chinese population were calculated. Results Adjusted odds ratios for all-cause mortality were 1.15 (95% CI 1.09, 1.23), 1.34 (1.27, 1.43), 1.36 (1.21, 1.52), and 1.58 (1.46, 1.70) for poor diet, inactivity, heavy alcohol intake and smoking, respectively. Increasing numbers of adverse lifestyle factors were associated with a dose-dependent increase in adjusted odds ratios of 1.30 (1.20, 1.40), 1.67 (1.54, 1.81), 2.32 (2.08, 2.60), and 3.85 (3.12, 4.75) for 1, 2, 3, and 4 risk factors relative to those with none. The population attributable fraction for all-cause, all-CVD and all-cancer mortality were 26.6%, 15.0%, and 32.1%, resulting in an excess of 2,017,541; 489,884; and 607,517 deaths annually, respectively. Although smoking was associated with the greatest excess loss of life (867,530), heavy drinking (680,466), and physical inactivity (678,317) were similarly important. Conclusion Adverse lifestyle factors contribute to one quarter of all deaths in China. Improving lifestyle practices, particularly focussing on moderating alcohol intake and increasing activity, and smoking cessation are critical to reducing the lifestyle-associated health burden.
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Affiliation(s)
- G. Neil Thomas
- Public Health, Epidemiology, and Biostatistics, University of Birmingham, Birmingham, United Kingdom
- Institute of Public Health, Social and Preventive Medicine, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany
| | - Man Ping Wang
- School of Nursing, University of Hong Kong, Hong Kong SAR, China
| | - Sai Yin Ho
- School of Public Health, University of Hong Kong, Hong Kong SAR, China
- * E-mail:
| | - Kwok Hang Mak
- Department of Health, Hong Kong SAR Government, Hong Kong SAR, China
| | - Kar Keung Cheng
- Public Health, Epidemiology, and Biostatistics, University of Birmingham, Birmingham, United Kingdom
| | - Tai Hing Lam
- School of Public Health, University of Hong Kong, Hong Kong SAR, China
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Adams CE, Cano MA, Heppner WL, Stewart DW, Correa-Fernández V, Vidrine JI, Li Y, Cinciripini PM, Ahluwalia JS, Wetter DW. Testing a Moderated Mediation Model of Mindfulness, Psychosocial Stress, and Alcohol Use among African American Smokers. Mindfulness (N Y) 2013; 6:315-325. [PMID: 25848408 DOI: 10.1007/s12671-013-0263-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Mindfulness-based strategies have received empirical support for improving coping with stress and reducing alcohol use. The present study presents a moderated mediation model to explain how mindfulness might promote healthier drinking patterns. This model posits that mindfulness reduces perceived stress, leading to less alcohol use, and also weakens the linkage between stress and alcohol use. African American smokers (N = 399, 51% female, Mage = 42) completed measures of dispositional mindfulness, perceived stress, quantity of alcohol use, frequency of binge drinking, and alcohol use disorder symptoms. Participants with higher levels of dispositional mindfulness reported less psychosocial stress and lower alcohol use on all measures. Furthermore, mindfulness moderated the relationship between perceived stress and quantity of alcohol consumption. Specifically, higher perceived stress was associated with increased alcohol use among participants low, but not high, in mindfulness. Mindfulness may be one strategy to reduce perceived stress and associated alcohol use among African American smokers.
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Affiliation(s)
- Claire E Adams
- Department of Psychology, The Catholic University of America, 620 Michigan Ave. NE, Washington, DC 20064
| | - Miguel A Cano
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Whitney L Heppner
- Department of Psychological Science, Georgia College & State University, Milledgeville, GA
| | - Diana W Stewart
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Yisheng Li
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Jasjit S Ahluwalia
- The Center for Health Equity, University of Minnesota Medical School, Minneapolis, MN
| | - David W Wetter
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Koivula RW, Tornberg AB, Franks PW. Exercise and diabetes-related cardiovascular disease: systematic review of published evidence from observational studies and clinical trials. Curr Diab Rep 2013; 13:372-80. [PMID: 23494754 DOI: 10.1007/s11892-013-0373-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The cost of treating cardiovascular disease (CVD) and diabetes is enormous and is set to rise in the coming years. Physical inactivity and sedentary behaviors are major risk factors for these diseases and are estimated to account for several million global deaths annually. Lifestyle interventions, particularly those aimed at enhancing physical activity levels, have a substantial favorable impact on diabetes progression in people at high risk of the disease. Although observational studies and small intervention studies suggest that physical activity might also prevent CVD in people with diabetes, this is not supported by the results of larger randomized controlled trials of lifestyle intervention. The purpose of this review is to provide an overview of the published studies focused on the role of physical activity in CVD prevention in persons with diabetes, and to discuss the implications of these studies' findings. Our review identified almost 100 studies published in the past decade relevant to this topic.
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Affiliation(s)
- Robert W Koivula
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 02 Malmö, Sweden
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Sone H, Tanaka S, Tanaka S, Suzuki S, Seino H, Hanyu O, Sato A, Toyonaga T, Okita K, Ishibashi S, Kodama S, Akanuma Y, Yamada N. Leisure-time physical activity is a significant predictor of stroke and total mortality in Japanese patients with type 2 diabetes: analysis from the Japan Diabetes Complications Study (JDCS). Diabetologia 2013; 56:1021-30. [PMID: 23443242 DOI: 10.1007/s00125-012-2810-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2012] [Accepted: 11/29/2012] [Indexed: 10/27/2022]
Abstract
AIMS/HYPOTHESIS Our aim was to clarify the association between leisure-time physical activity (LTPA) and cardiovascular events and total mortality in a nationwide cohort of Japanese diabetic patients. METHODS Eligible patients (1,702) with type 2 diabetes (mean age, 58.5 years; 47% women) from 59 institutes were followed for a median of 8.05 years. A comprehensive lifestyle survey including LTPA and occupation was performed using standardised questionnaires. Outcome was occurrence of coronary heart disease (CHD), stroke and total mortality. The adjusted HR and 95% CI were calculated by Cox regression analysis. RESULTS A significant reduction in HR in patients in the top (≥ 15.4 metabolic equivalents [MET] h/week) vs the bottom tertile (≤ 3.7 MET h/week) of LTPA, adjusted by age, sex and diabetes duration, was observed in stroke (HR 0.55, 95% CI 0.32, 0.94) and total mortality (HR 0.49, 95% CI 0.26, 0.91) but not in CHD (HR 0.77, 95% CI 0.48, 1.25). The HR for stroke became borderline significant or nonsignificant after adjustment for lifestyle or clinical variables including diet or serum lipids. The significantly reduced total mortality by LTPA was independent of these variables and seemed not to be, at least mainly, attributed to reduced cardiovascular disease. CONCLUSIONS/INTERPRETATION In Japanese persons with type 2 diabetes, LTPA of 15.4 MET h/week or more was associated with a significantly lower risk of stroke partly through ameliorating combinations of cardiovascular risk factors. It was also associated with significantly reduced total mortality but independently of cardiovascular risk factors or events. These findings, implying differences from Western diabetic populations, should be considered in the clinical management of East Asians with diabetes.
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Affiliation(s)
- H Sone
- Department of Internal Medicine, Niigata University Faculty of Medicine, 1-757 Asahimachi-dori, Chuoh-ku, Niigata 951-8510, Japan.
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