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Nikbakht HA, Rezaianzadeh A, Seif M, Ghaem H. Factor Analysis of Metabolic Syndrome Components in a Population-Based Study in the South of Iran (PERSIAN Kharameh Cohort Study). IRANIAN JOURNAL OF PUBLIC HEALTH 2021; 50:1863-1871. [PMID: 34722382 PMCID: PMC8542825 DOI: 10.18502/ijph.v50i9.7059] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 07/19/2020] [Indexed: 12/15/2022]
Abstract
Background: We aimed to estimate the exploratory factor analysis (EFA) of metabolic syndrome components based on variables including gender, BMI, and age groups in a population-based study with large sample size. Methods: This study was conducted on 10663 individuals 40-70 yr old in Phase 1 of the Persian Kharameh cohort study conducted in 2014–2017. EFA of the metabolic syndrome components, including waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglyceride (TG), high-density lipoprotein (HDL) and fasting blood sugar (FBS), was performed on all participants by gender, BMI (Body Mass Index), and age groups. Results: EFA results in the whole population based on eigenvalues greater than one showed two factors explaining 56.06% of the total variance. Considering factor loadings higher than 0.3, the first factor included: DBP, SBP, and WC, named as hypertension factor. The second factor also included TG, negative-loaded HDL, FBS, and WC, named as lipid factor. Almost similar patterns were extracted based on subgroups. Conclusion: MetS is a multi-factorial syndrome. Both blood pressure and lipid had a central role in this study and obesity was an important factor in both ones. Hypertension, having the highest factor loading, can generally be a valuable screening parameter for cardiovascular and metabolic risk assessment.
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Affiliation(s)
- Hossein-Ali Nikbakht
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.,Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Abbas Rezaianzadeh
- Colorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mozhgan Seif
- Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Haleh Ghaem
- Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
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Manaf MRA, Nawi AM, Tauhid NM, Othman H, Rahman MRA, Yusoff HM, Safian N, Ng PY, Manaf ZA, Kadir NBA, Yanasegaran K, Basir SMA, Ramakrishnappa S, Ganasegeran K. Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university. Sci Rep 2021; 11:8132. [PMID: 33854087 PMCID: PMC8047014 DOI: 10.1038/s41598-021-87248-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/18/2021] [Indexed: 02/02/2023] Open
Abstract
Public health systems are concerned with the commensurate rise of metabolic syndrome (MetS) incidence across populations worldwide, due to its tendency to amplify greater risk of diabetes and cardiovascular diseases within communities. This study aimed to determine the prevalence of MetS and its associated risk factors among staffs in a Malaysian public university. A cross-sectional study was conducted among 538 staffs from the Universiti Kebangsaan Malaysia (UKM) between April and June 2019. MetS was defined according to JIS "Harmonized" criteria. A questionnaire that consisted of items on socio-demographics, lifestyle risk behaviors and personal medical history information was administered to participants. Subsequently, a series of physical examination and biochemical assessment was conducted at the hall or foyer of selected faculties in the university. Descriptive and inferential statistics were conducted using SPSS version 22.0. Multivariate models were yielded to determine the risk factors associated with MetS. Statistical significance was set at P < 0.05. The overall prevalence of MetS was 20.6%, with men having greater prevalence than women (24.9% vs. 18.3%). Prevalence of MetS increased with age. Factors contributed to MetS in the overall sample were BMI, hypertension, diabetes and physical activity of moderate intensity. Diabetes and hypertension were significantly associated with MetS in men, whereas BMI, diabetes and hyperlipidemia were significantly associated with MetS in women. Lifestyle behaviors and cardio-metabolic risk factors were associated with MetS for the overall sample, and across genders.
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Affiliation(s)
- Mohd Rizal Abdul Manaf
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
| | - Azmawati Mohammed Nawi
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Noorlaili Mohd Tauhid
- Department of Family Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Hanita Othman
- Department of Pathology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Mohd Rizam Abdul Rahman
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Hanizah Mohd Yusoff
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nazaruddin Safian
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Pei Yuen Ng
- Drug and Herbal Research Centre, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Zahara Abdul Manaf
- Dietetic Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nor Ba'yah Abdul Kadir
- Psychology Program, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Kevina Yanasegaran
- Drug and Herbal Research Centre, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Siti Munirah Abdul Basir
- Dietetic Program, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Sowmya Ramakrishnappa
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Kurubaran Ganasegeran
- Clinical Research Center, Seberang Jaya Hospital, Ministry of Health Malaysia, Penang, Malaysia
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Krishnamoorthy Y, Rajaa S, Murali S, Rehman T, Sahoo J, Kar SS. Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis. PLoS One 2020; 15:e0240971. [PMID: 33075086 PMCID: PMC7571716 DOI: 10.1371/journal.pone.0240971] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 10/06/2020] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE This review was done to determine the prevalence of metabolic syndrome (MS) among adult general population in India. We also wanted to find the gender, setting, and region-wide distribution of MS in India. METHODS We conducted systematic searches in various databases including Medline, ScienceDirect, Cochrane library and Google Scholar from inception until August 2019. We included studies conducted in India reporting the prevalence of MS among adults aged 18 years or more. We used the Newcastle Ottawa scale to assess the quality of included studies. We carried out a meta-analysis with random-effects model and reported pooled prevalence with 95% confidence intervals (CIs). We used the Funnel plot to assess publication biases. RESULTS In total, we analysed 113 data from 111 studies with 133,926 participants. Majority of the included studies (76 out of 111) had low risk of bias. We found significant heterogeneity among the included studies (p<0.001). We also found a symmetrical funnel plot indicating an absence of publication bias. The prevalence of MS among adult population in India was 30% (95%CI: 28%-33%). There was a steady increase in the burden across the age groups from 13% (18-29 years group) to 50% (50-59 years). We also found that people living in urban areas (32%; 95%CI: 29%-36%) had higher prevalence when compared to tribal (28%; 95%CI: 21%-36%) or rural adults (22%; 95%CI: 20%-25%). Gender distribution of MS showed that the females had higher prevalence (35%; 95%CI: 31%-38%) when compared to males 26% (95%CI: 22%-29%). CONCLUSION Almost one in three adults in India suffer from MS. Females, people living in urban areas and in northeast region had higher prevalence of MS. Development and implementation of policies and protocols for the screening of MS would enable us in early diagnosis and treatment with special focus towards the vulnerable and high-risk groups.
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Affiliation(s)
- Yuvaraj Krishnamoorthy
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sathish Rajaa
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sharan Murali
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Tanveer Rehman
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Jayaprakash Sahoo
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sitanshu Sekhar Kar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
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Asgharnezhad M, Joukar F, Naghipour M, Nikbakht HA, Hassanipour S, Arab-Zozani M, Mansour-Ghanaei F. Exploratory factor analysis of gender-based metabolic syndrome components: Results from the PERSIAN Guilan cohort study (PGCS). Clin Nutr ESPEN 2020; 40:252-256. [PMID: 33183545 DOI: 10.1016/j.clnesp.2020.09.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/12/2020] [Accepted: 09/03/2020] [Indexed: 02/01/2023]
Abstract
BACKGROUND One of the important issues related to metabolic syndrome is the underlying factor that remains controversial. The purpose of this study was estimating exploratory factor analysis (EFA) to reveal underlying factors that may explain the observed variants of metabolic syndrome (MetS) components in a population-based study. METHODS In this cross-sectional study, the target population consisted of 10,520 individuals aged 35-70 years from Phase 1 of the PERSIAN Guilan cohort study conducted between 2014 and 2017. Exploratory factor analysis (EFA) of components of the metabolic syndrome, including waist circumference (WC), systolic (SBP) and diastolic (DBP) blood pressure, triglyceride (TG), high-density lipoprotein (HDL) and fasting blood glucose (f-Glc) was performed across the population as well as by gender. RESULTS EFA results in the whole population based on eigen values > 1 showed two factors that explain 55.46% of the total variance. Taking factor loadings above 0.3, the first factor included systolic blood pressure, diastolic blood pressure, and waist circumference - called the blood pressure factor. Also, the second factor included triglycerides, negative-loaded HDL, and fasting blood glucose, which was named as lipid factor. In terms of gender, the first factor was similar to the whole population pattern, but in the second factor, in addition to the two components of blood lipids, waist size for men and in fasting blood glucose for women was launched. CONCLUSION Hypertension and lipids were substantial factors, and obesity is an important factor in this study. Hypertension, having the highest factor load, can generally be a valuable screening parameter for cardiovascular and metabolic risk assessment.
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Affiliation(s)
- Mehrnaz Asgharnezhad
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
| | - Farahnaz Joukar
- GI Cancer Screening and Prevention Research Center, Guilan University of Medical Sciences, Rasht, Iran.
| | - Mohammadreza Naghipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
| | - Hossein-Ali Nikbakht
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
| | - Soheil Hassanipour
- Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran.
| | - Morteza Arab-Zozani
- Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.
| | - Fariborz Mansour-Ghanaei
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran; GI Cancer Screening and Prevention Research Center, Guilan University of Medical Sciences, Rasht, Iran; Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran.
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Mitra M, Ghosh A. Factor analyses of metabolic syndrome: A systematic review with special reference to Asian Indians. Diabetes Metab Syndr 2020; 14:697-705. [PMID: 32446244 DOI: 10.1016/j.dsx.2020.05.014] [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: 11/20/2019] [Revised: 05/06/2020] [Accepted: 05/06/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Metabolic syndrome is the constellation of cardiovascular disease risk factors and a growing public health issue affecting more than 20% of world population. Factor analysis is a powerful mathematical tool in exploring the underlying factors of any chronic diseases. Although it is most often criticized for its contrasting results for a common expression differently interpreted by the researchers yet fit the original data equally well. OBJECTIVE The present study aims to find out the underlying physiological domains for the phenotypic attribution of metabolic syndrome as documented in several studies. METHODOLOGY Literature search was done using Google Scholar, PUBMED, Research Gate and manual searching to identify relevant studies of the selected topic. CONCLUSION More than one physiological domain has been explored for the expression of metabolic syndrome explored in different studies. A reason for this disparity may be because most of explored factors are just mathematically significant but not biologically. Another reason may be the varied factor load concern. Therefore, a fixed factor load value is needed to be restricted for all studies across world.
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Affiliation(s)
- Maitrayee Mitra
- Biomedical Research Laboratory, Department of Anthropology, Visva-Bharati (A Central University and an Institution of National Importance), Santiniketan, West Bengal, India
| | - Arnab Ghosh
- Biomedical Research Laboratory, Department of Anthropology, Visva-Bharati (A Central University and an Institution of National Importance), Santiniketan, West Bengal, India.
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Goswami K, Gandhe M. Evolution of metabolic syndrome and its biomarkers. Diabetes Metab Syndr 2018; 12:1071-1074. [PMID: 30042080 DOI: 10.1016/j.dsx.2018.06.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 06/29/2018] [Indexed: 12/16/2022]
Abstract
The evolution of human from ancient times to modern era has witnessed several environmental and social changes which contributed to genetic and epigenetic makeup of human beings and in turn is responsible for its present phenotype. In the recent past, owing to socioeconomic developmental pressure, a large epidemiologic shift towards non-communicable disease pattern has been noticed in many developing countries including India which resulted into incidence of diabetes and cardiovascular diseases in epidemic proportion. These two pathologies form a subset associated with metabolic derangement, popularly termed as metabolic syndrome. Earlier its status and the pathophysiological rationale were largely obscure and hence it was given a rather disguised name - Syndrome X, as an icon of unknown. While initially contemplated to be an endocrine problem associated with insulin resistance, the scientific insight about this pathology has undergone a gradual evolution. Therefore the pathogenic and consequent diagnostic modality consistently changed. Quite fascinatingly its phenomenal conversion from an endocrine etiopathology to an inflammatory pathogenesis has imprinted a paradigm shift. From laboratory medicine perspective, these evidences have immense impact to steer the research towards development of the apposite diagnostic modality for this very significant and nationally relevant health problem.
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Affiliation(s)
- Kalyan Goswami
- Department of Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.
| | - Mahendra Gandhe
- Department of Biochemistry Government Medical College, Chhindwara, Madhya Pradesh, India
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Li Y, Zhao L, Yu D, Wang Z, Ding G. Metabolic syndrome prevalence and its risk factors among adults in China: A nationally representative cross-sectional study. PLoS One 2018; 13:e0199293. [PMID: 29920555 PMCID: PMC6007893 DOI: 10.1371/journal.pone.0199293] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Accepted: 06/05/2018] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVES The aim of this study was to examine sex disparity in metabolic syndrome prevalence and its risk factors among Chinese adults. METHODS Using the 2010-2012 China National Nutrition and Health Survey (CNNHS), a nationally representative cross-sectional study on nutrition and non-communicable chronic diseases, a total of 98,042 participants aged 18 years and older were included in the analysis. Dietary information was collected with a food frequency questionnaire (FFQ). Metabolic syndrome was defined according to the updated NCEP ATP III criteria. A multivariable logistic regression model was performed to examine the associations between sociodemographic and dietary factors with metabolic syndrome prevalence, and the results are presented using odd ratios (ORs) and 95% confidence intervals (CIs). RESULTS The overall standardized prevalence of metabolic syndrome was 24.2% (24.6% in men and 23.8% in women). The metabolic syndrome prevalence was positively associated with age in men and women. The prevalence of metabolic syndrome was negatively associated with the physical activity level among men and inversely associated with the education level among women (P for trend < 0.01). Frequent consumption of fungi and algae was an underlying risk factor for metabolic syndrome in men, whereas frequent consumption of nuts and pork was associated with a decreased prevalence of metabolic syndrome in women. CONCLUSIONS The prevalence of metabolic syndrome in men was not different from that in women. There are sex-specific associations between multiple risk factors and metabolic syndrome.
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Affiliation(s)
- Yaru Li
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liyun Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongmei Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail:
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Ayubi E, Khalili D, Delpisheh A, Hadaegh F, Azizi F. Factor analysis of metabolic syndrome components and predicting type 2 diabetes: Results of 10-year follow-up in a Middle Eastern population. J Diabetes 2015; 7:830-8. [PMID: 25492310 DOI: 10.1111/1753-0407.12252] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2014] [Revised: 11/10/2014] [Accepted: 11/12/2014] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The relationship among components of metabolic syndrome (MetS) and their association with diabetes is unclear in West Asia. The aim of the present study was to conduct factor analysis of MetS components and the effect these factors have on the incidence of type 2 diabetes (T2D) in a population-based cohort study of the Tehran Lipid and Glucose Study (TLGS). METHODS The present study enrolled 1861 men and 2706 women (20-60 years of age), from Tehran (Iran) who were free of diabetes at baseline and followed them for 10 years. A principal component analysis was performed to extract standardized factors from MetS components. Logistic regression was used to detect associations between the extracted factors and the incidence of diabetes. A propensity score was used to correct differential selection bias resulting from loss to follow-up. RESULTS Factor analysis identified three factors (blood pressure, lipids and glycemia). Waist circumference was shared in three all factors. Blood pressure, lipids and glycemia were related to the incidence of diabetes with odds ratios (95% confidence intervals) of 2.23 (1.31-3.78), 1.89 (1.27-3.67), and 7.54 (4.09-13.91), respectively, in men and 2.13 (1.34-3.40), 2.06 (1.35-3.15), and 13.91 (7.29-26.51), respectively, in women for the third versus the first tertile of these standardized factors. CONCLUSIONS Central adiposity may have a pivotal role in MetS linking other risk factors together. Glycemia had a high impact on the incidence of diabetes, whereas blood pressure and lipid had a similar moderate effect on the incidence of diabetes.
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Affiliation(s)
- Erfan Ayubi
- Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Delpisheh
- Department of Clinical Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Song QB, Zhao Y, Liu YQ, Zhang J, Xin SJ, Dong GH. Sex difference in the prevalence of metabolic syndrome and cardiovascular-related risk factors in urban adults from 33 communities of China: The CHPSNE study. Diab Vasc Dis Res 2015; 12:189-98. [PMID: 25670848 DOI: 10.1177/1479164114562410] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Little is known about the epidemiology of metabolic syndrome in urban areas of China. To estimate the prevalence of MetS and identify its cardiovascular-related factors in men and women, a representative sample of 15,477 urban adults aged 18-74 years in Northeast China was selected from 2009 to 2010. The diagnosis of metabolic syndrome was based on criteria set by the National Cholesterol Education Program/Adult Treatment Panel. The overall prevalence of metabolic syndrome was 27.4% (men 27.9% and women 26.8%). Multivariable logistic regression analysis revealed that a higher education level and a higher family income were associated with a higher prevalence of metabolic syndrome in men, but associated with lower prevalence of metabolic syndrome among women. Higher physical activity was associated with a decreased prevalence of metabolic syndrome in men (adjusted odds ratios (aORs) = 0.88, 95% confidence interval (CI): 0.79-0.99), but associated with an increased prevalence of metabolic syndrome in women (aOR = 1.14, 95% CI: 1.00-1.29). Compared with rice as the major staple food, cooked wheaten foods were associated with lower adjusted odds for metabolic syndrome both in men (aOR = 0.72, 95% CI: 0.58-0.90) and in women (aOR = 0.72, 95% CI: 0.56-0.92). In conclusion, metabolic syndrome is highly prevalent in urban areas of China, and there is heterogeneity by sex in the relationships between risk factors and metabolic syndrome prevalence.
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Affiliation(s)
- Qing-Bin Song
- Department of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China
| | - Yang Zhao
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Yu-Qin Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Jian Zhang
- Department of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China
| | - Shi-Jie Xin
- Department of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China
| | - Guang-Hui Dong
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
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Ayubi E. Metabolic syndrome in the rural population of wardha, central India: confounding of factor analysis as result of high correlated variables. Indian J Community Med 2014; 39:190. [PMID: 25136164 PMCID: PMC4134539 DOI: 10.4103/0970-0218.137166] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Erfan Ayubi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences; Department Epidemiology and Biostatistics, School of Public Health and Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran. E-mail:
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