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Nikolic Turnic T, Jakovljevic V, Strizhkova Z, Polukhin N, Ryaboy D, Kartashova M, Korenkova M, Kolchina V, Reshetnikov V. The Association between Marital Status and Obesity: A Systematic Review and Meta-Analysis. Diseases 2024; 12:146. [PMID: 39057117 PMCID: PMC11276062 DOI: 10.3390/diseases12070146] [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: 05/08/2024] [Revised: 06/07/2024] [Accepted: 06/09/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Obesity was included in the International Classification of Diseases in 1990 as a chronic disease characterized by the excessive accumulation of body fat and a body mass index (BMI) greater than 30 kg/m2. AIM This systematic review was aimed to examine the role of marital status in determining body mass index and the risk of obesity. METHODS We performed a systematic literature search using three databases (PubMed (Medline), Embase, and Google Scholar) with the search query. RESULTS Of the 105 studies included in the systematic review, 76 studies (72%) reported a greater risk of obesity in married individuals compared to unmarried individuals. A meta-analysis of 24 studies included a total population of 369,499 participants: 257,257 married individuals (40,896 of whom had obesity) and 112,242 comparison subjects (single, divorced, or widowed individuals, 15,084 of whom had obesity). Odds ratios for obesity found a significant pooled odds ratio for obesity in married individuals compared with controls (OR 1.70; 95% CI 1.38-2.10). The socioeconomic environment was not the same throughout the period of studies analyzed. The odds of obesity in married individuals during economic crises was greater than during the period between crises: OR 2.56 (95% CI 2.09-3.13) during crises vs. OR 1.55 (95% CI 1.24-1.95) between crises. CONCLUSION The results of this review confirm the importance of considering marital status in determining the risk of obesity.
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Affiliation(s)
- Tamara Nikolic Turnic
- Department of Pharmacy, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Vladimir Jakovljevic
- Department of Physiology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia;
- 1st Moscow State Medical, Department of Human Pathology, University IM Sechenov, Trubetskaya Street 8, Str. 2, 119991 Moscow, Russia
| | - Zulfiya Strizhkova
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Nikita Polukhin
- Department of Public Health and Medical Social Sciences, Synergy University, Leningradskiy Prospect 80k46, 125315 Moscow, Russia;
| | - Dmitry Ryaboy
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Mariia Kartashova
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Margarita Korenkova
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Valeriia Kolchina
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
| | - Vladimir Reshetnikov
- N.A. Semashko Public Health and Healthcare Department, F.F. Erismann Institute of Public Health, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia; (Z.S.); (D.R.); (M.K.); (M.K.); (V.K.); (V.R.)
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Vahidi M, Asgari S, Tohidi M, Azizi F, Hadaegh F. Macrosomia is a risk factor for incident maternal chronic kidney disease. BMC Pregnancy Childbirth 2021; 21:210. [PMID: 33726706 PMCID: PMC7968264 DOI: 10.1186/s12884-021-03695-8] [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: 11/10/2020] [Accepted: 03/03/2021] [Indexed: 11/29/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) and macrosomia are associated with several adverse outcomes including diabetes mellitus and cardiovascular diseases, however, the relationship between GDM/macrosomia with incident chronic kidney disease (CKD) is a matter of debate. The purpose of this study was to examine the association between the history of macrosomia with or without GDM and incident maternal CKD. Methods The study population includes 2669 women aged 18–50 years without known diabetes mellitus and CKD from participants of the Tehran Lipid and Glucose Study. The study population was categorized into 3 groups; group 1: GDM/macrosomia and without diabetes mellitus (n = 204), group 2: newly diagnosed incident diabetes mellitus (NDM) in the presence or abcence of GDM/Macrosomia (n = 113), and, group 3: the reference group including women without prior history of GDM/macrosomia and free of NDM (n = 2352). CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2. Multivariable Cox proportional hazard regression adjusted for baseline values of age, body mass index, waist circumference, parity numbers, smoking, educational level, gestational hypertension, eGFR, systolic and diastolic blood pressures (SBP and DBP, respectively), anti-hypertensive medication, and family history of diabetes mellitus was applied for data analyses. Results During a median follow-up of 11.9 years, 613 incident CKD cases were identified. The multivariable hazard ratio (HR) and 95% confidence interval (CI) on GDM/macrosomia group was [1.32 (1.02–1.72)]; the risk was more prominent among non-hypertensive women [1.41 (1.07–1.85); P for interaction: 0.046]. Moreover, the history of macrosomia alone also showed a significant risk [1.36 (1.04–1.78)]; however, history of GDM alone did not have a significant risk [0.92 (0.34–2.46)]. Age, current smoking, eGFR, and SBP remained as independent risk factors for incident CKD. Conclusions A history of GDM/macrosomia or macrosomia alone, independent of subsequent diabetes mellitus was associated with significant risk for incident maternal CKD. Pregnancy may provide a unique situation to identify high-risk women at risk for CKD that could benefit from regular monitoring of kidney function and providing risk modifying strategies.
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Affiliation(s)
- Mohammad Vahidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- 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
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Sarebanhassanabadi M, Shahriari Kalantari M, Boffetta P, Beiki O, Pakseresht M, Sarrafzadegan N, Mirzaei M, Kraemer A, Seyedhosseini S, Mali S, Namayandeh SM, Razavi SK, Alipour MR, Emami M, Ahmad Abad MS, Hosseini HA, Salehi-Abargouei A. Dietary habits and the 10-year risk of overweight and obesity in urban adult population: A cohort study predicated on Yazd Healthy Heart Project. Diabetes Metab Syndr 2020; 14:1391-1397. [PMID: 32755840 DOI: 10.1016/j.dsx.2020.07.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 07/13/2020] [Accepted: 07/15/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND OBJECTIVE Overweight and obesity are thought to be associated with increased risk of chronic disease in the Middle East. The present study aimed to determine the association between dietary habits and the incidence of overweight and obesity in urban adult population in the central part of Iran after a 10-year follow-up. METHODS This cohort study was initiated with 2000 participation aged 20-74 years from Yazd city in Iran based on Yazd Healthy Heart Project (YHHP). The participants without overweight and obesity at the baseline of the study were followed up to 10 years. Demographic data, anthropometric measurements, behavioral and metabolic risk factors of cardiovascular diseases and dietary habits were assessed at baseline and phase II. RESULTS After a 10-year follow up, 516 non-overweight and 1068 non-obese participants were included for the final analysis. Once adjustments were made for all potential confounders including age, sex, smoking, economic status, physical activity and education, it was identified that lack of weight control increased the risk of obesity (hazard ratio; 95% CI) in total population (1.9; 1.06, 3.4), as well as the risk of overweight (2.39; 1.07, 5.27) and obesity (2.65; 1.13, 6.25) in men. Moreover, consumption of mayonnaise increased the 10-year risk of overweight in women (6.09; 1.2, 30.99). CONCLUSIONS As revealed by the present study, unhealthy dietary habits can increase the incidence of overweight and obesity in central part of Iran. Therefore, changing the lifestyle appears to be urgent in reducing the risk of overweight and obesity.
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Affiliation(s)
| | | | - Paolo Boffetta
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
| | - Omid Beiki
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Department of Epidemiology, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Mohammadreza Pakseresht
- Department of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institue, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Masoud Mirzaei
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Alexander Kraemer
- School of Public Health, Department of Public Health Medicine, University of Bielefeld, Germany.
| | | | - Shahriar Mali
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | | | - Seyed Kazem Razavi
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Mohammad Reza Alipour
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Mahmood Emami
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Mostafa Shokati Ahmad Abad
- Critical Care Department, Nursing and Midwifery Faculty, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Habib Allah Hosseini
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Amin Salehi-Abargouei
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Baghbani-Oskouei A, Gholampourdehaki M. Anthropometric measures and the risk of coronary artery disease. CASPIAN JOURNAL OF INTERNAL MEDICINE 2020; 11:183-190. [PMID: 32509247 PMCID: PMC7265515 DOI: 10.22088/cjim.11.2.183] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 01/10/2020] [Accepted: 01/15/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Nowadays, obesity and overweight are projected to become main risk factors for coronary artery disease (CAD). We aimed to determine the association of anthropometric measures with presence of significant (sig.) CAD as evaluated by coronary angiography, among an adult Iranian population. METHODS The present study included 441 patients (men=275) aged > 30 years with suspected CAD, who had undergone coronary angiography between January 2019 and November 2019. All demographic data and patients' medical history as well as clinical examinations were recorded by a trained physician. Coronary angiography was performed using standard techniques to determine the presence of sig. coronary artery lesions. Logistic regression analyses were conducted to assess the odds ratio (OR) of each anthropometric measure for the presence of sig. CAD. RESULTS The mean age of participants was 51.2±8.7 years and sig. CAD was detected in 185 patients. Univariate analyses showed that body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR) were significantly associated with increased risk of CAD. On multivariable logistic regression model, BMI and WHR correlated independently with increased risk of CAD; while higher WC and wrist circumference (WrC) could not predict the CAD risk. The corresponding ORs (95% confidence interval) were 1.36 (1.04-1.74), 1.17 (0.95-1.63), 1.29 (1.12-1.41), and 1.24 (0.76-1.92) for BMI, WC, WHR, and WrC, respectively. Considering the receiver operating characteristic analysis, no superiority was observed for each of the measures for discriminating sig. CAD from non-sig. CAD status. CONCLUSION BMI and WHR are independently associated with the presence of CAD among Iranian population. These results emphasize the value of anthropometric assessment among those with suspected CAD.
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Affiliation(s)
- Aidin Baghbani-Oskouei
- Department of Internal Medicine, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Mehrzad Gholampourdehaki
- Department of Internal Medicine, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
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Hasegawa M, Akter S, Hu H, Kashino I, Kuwahara K, Okazaki H, Sasaki N, Ogasawara T, Eguchi M, Kochi T, Miyamoto T, Nakagawa T, Honda T, Yamamoto S, Murakami T, Shimizu M, Uehara A, Yamamoto M, Imai T, Nishihara A, Tomita K, Nagahama S, Hori A, Konishi M, Kabe I, Mizoue T, Kunugita N, Dohi S. Five-year cumulative incidence of overweight and obesity, and longitudinal change in body mass index in Japanese workers: The Japan Epidemiology Collaboration on Occupational Health Study. J Occup Health 2020; 62:e12095. [PMID: 31677232 PMCID: PMC6970396 DOI: 10.1002/1348-9585.12095] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 08/30/2019] [Accepted: 10/03/2019] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The present study aimed to estimate cumulative incidence of overweight and obesity and describe 5-year longitudinal changes in body mass index (BMI) in a large occupational cohort in Japan. METHODS Participants were 55 229 Japanese employees, who were aged 20-59 years and attended at all subsequent annual health check-ups between 2009 and 2014. Mixed model analysis was performed to examine the effects of age and cohort by gender on BMI change, with age as a random variable. Cumulative incidence of overweight (23.0≤ BMI <27.5 kg/m2 ) and obesity (BMI ≥27.5 kg/m2 ) was calculated. Logistic regression analysis was used to estimate odds ratios for the incidence of overweight and obesity according to age group. RESULTS The incidence of overweight and obesity was approximately double in men (28.3% and 6.7%, respectively) compared to women (14.3% and 3.9%, respectively).The incidence of obesity decreased with age in men, but did not differ according to age in women (P for trend: .02 and .89, respectively). Among overweight participants, the incidence of obesity was higher in women (18.9%) than men (14.5%) and decreased with advancing age (P for trend: <.001 in men and .003 in women). Mean BMI was higher in men than women in all age groups throughout the period. Younger cohorts tended to have a higher BMI change compared with older cohorts. CONCLUSIONS In this Japanese occupational cohort, transition from overweight to obesity is higher in women than men, and the more recent cohorts had a higher change in mean BMI than the older cohorts.
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Affiliation(s)
- Miyuki Hasegawa
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
| | - Shamima Akter
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
| | - Huanhuan Hu
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
| | - Ikuko Kashino
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
| | - Keisuke Kuwahara
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
- Teikyo University Graduate School of Public HealthTokyoJapan
| | | | - Naoko Sasaki
- Mitsubishi Fuso Truck and Bus CorporationKanagawaJapan
| | | | | | | | | | | | | | | | - Taizo Murakami
- Mizue Medical ClinicKeihin Occupational Health CenterKanagawaJapan
| | - Makiko Shimizu
- Mizue Medical ClinicKeihin Occupational Health CenterKanagawaJapan
| | | | | | | | | | | | | | - Ai Hori
- Department of Global Public HealthUniversity of TsukubaIbarakiJapan
| | - Maki Konishi
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
| | | | - Tetsuya Mizoue
- Department of Epidemiology and PreventionCenter for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
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Kabootari M, Akbarpour S, Azizi F, Hadaegh F. Sex specific impact of different obesity phenotypes on the risk of incident hypertension: Tehran lipid and glucose study. Nutr Metab (Lond) 2019; 16:16. [PMID: 30858870 PMCID: PMC6391753 DOI: 10.1186/s12986-019-0340-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 02/11/2019] [Indexed: 12/13/2022] Open
Abstract
Background To investigate the association between different obesity phenotypes and the risk of incident hypertension among both genders. Methods The study population included 3659 Iranians (men = 1540), aged ≥20 years free of hypertension at baseline. Participants were classified into six categories of body mass index (BMI)-metabolic health status, in which unhealthy metabolic status was defined based on the presence of > 1 component of metabolic syndrome (MetS) using the joint interim statement (JIS) criteria or the presence of insulin resistance (IR). The association between different obesity phenotypes and incident hypertension was assessed using multivariate Cox's proportional hazard models adjusted for age, current smoking, low physical activity, diabetes mellitus, family history of premature cardiovascular disease, estimated glomerular filtration rate, phase of recruitment, BMI and systolic blood pressure, considering metabolically healthy normal weight group as the reference. Results After a median follow-up of 11.6 years 1122 participants (men = 493) experienced hypertension. Using JIS criteria, a significant higher risk of hypertension was observed among metabolically healthy obese and well as metabolically unhealthy groups among men in the age adjusted model; however, a significant higher risk in the fully adjusted model was seen among women in the metabolically healthy obese [hazard ratio (HR) 95% confidence interval (CI) 1.96(1.16-3.32)] as well as metabolically unhealthy normal weight [1.98(1.37-2.86)], overweight [2.08(1.49-2.90)] and obese [2.06(1.27-3.30)] groups. Using insulin sensitive normal weight group as the reference, among men, being overweight or obese with and without IR was significant predictors of incident hypertension in the age adjusted model; however, among women, insulin resistant overweight [1.46(1.06-2.02)] and obese groups, [1.63(1.01-2.62)] showed significant risk in the fully adjusted model. Conclusion We concluded that first, there was significant difference between genders in the associations between obesity phenotypes and incident hypertension. Second, in general, metabolic status defined by MetS components as compared to IR could do better in identifying high risk women for hypertension. Third, women populations who are metabolically healthy obese using MetS definition or those with either > 1 component of metabolic syndrome or overweight/obese ones with IR should be prioritized for implementing urgent preventive strategies against hypertension focusing on lifestyle changes.
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Affiliation(s)
- Maryam Kabootari
- 1Metabolic Disorders Research Center, Golestan university of Medical Sciences, Gorgan, Iran.,2Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4763, No. 24, Parvaneh Street, Velenjak, Tehran, Iran
| | - Samaneh Akbarpour
- 3Occupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- 4Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- 2Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4763, No. 24, Parvaneh Street, Velenjak, Tehran, Iran
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Abdurahman AA, Azadbakhat L, Rasouli M, Chamari M, Qorbani M, Dorosty AR. Association of dietary inflammatory index with metabolic profile in metabolically healthy and unhealthy obese people. Nutr Diet 2018; 76:192-198. [PMID: 30402959 DOI: 10.1111/1747-0080.12482] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 08/29/2018] [Accepted: 09/10/2018] [Indexed: 11/27/2022]
Abstract
AIM Obesity is an emerging public health problem, with its incidence on the rise. An abnormal metabolic profile is a risk factor for developing obesity. Dietary factors play a central role in the regulation of inflammation and obesity. The aim of the present study was to determine the prevalence of metabolically healthy obese and metabolically unhealthy obese (MUO) phenotypes, and their association with dietary inflammatory index (DII) among obese Iranian people. METHODS A cross-sectional study was conducted from July to October 2017 among 300 obese participants in southern Tehran. DII scores were computed based on the overall inflammatory properties of 32 dietary components using dietary intake assessed by food frequency questionnaire. MUO phenotype was defined as having three or more of these metabolic abnormalities: high blood glucose, high triglycerides, low high-density lipoprotein cholesterol, elevated blood pressure or abdominal obesity. The association was determined using logistic regression analysis. RESULTS The MUO phenotype (n = 176) was found in 63.5% of obese participants. Compared with participants in the first quartile, those in the fourth quartile of DII score (more pro-inflammatory diet) had higher odds of MUO phenotype (odds ratio, OR: 2.58 (95% CI: 1.19-5.59), P = 0.04), and there was a significant association between the continuous form of DII score and the odds of MUO phenotype (OR: 1.18 (95% CI: 1.01-1.37)) after adjusting for potential confounders. CONCLUSIONS Higher DII scores were positively associated with the MUO phenotype. A more pro-inflammatory diet is a potential risk factor for MUO phenotype.
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Affiliation(s)
- Ahmed A Abdurahman
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences International Campus (TUMS-IC), Tehran, Iran
| | - Leila Azadbakhat
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.,Diabetic Research Centre, Endocrine and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mahkameh Rasouli
- Department of anesthesiology, Medicine Faculty, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Maryam Chamari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Mostafa Qorbani
- Non-communicable Diseases Research Centre, Alborz University of Medical Sciences, Tehran, Iran.,Chronic Diseases Research Centre, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmed R Dorosty
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
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Abstract
OBJECTIVE Abdominal obesity (AO) is a relative risk factor for cardiovascular events. We aimed to determine the 6-year incidence of AO and its risk factors among Tehranian adults.Design/Setting/SubjectsIn this population-based cohort study, non-abdominally obese participants, aged ≥20 years, were followed for incidence of AO. Cumulative incidence and incidence rate of AO were calculated for each sex. Cox proportional hazard regression was used to determine the association of potential risk factors including age, BMI, dysmetabolic state, smoking, marital status, educational level and physical activity (PA). RESULTS A total of 5044 participants (1912 men) were followed for a median of 6 years. Mean age was 37·7 (sd 13·5) years at baseline, with mean BMI of 24·3 (sd 3·1) kg/m2 (men, 23·0 (sd 2·4) kg/m2; women, 25·0 (sd 3·2) kg/m2). During follow-up, 3093 (1373 men) developed AO with total cumulative incidence of 76·02, 83·59 and 70·90 %, for the whole population, men and women, respectively. Corresponding incidence rates were 96·0, 138·7 and 77·1 per 1000 person-years. The highest incidence rate was observed during their 30s and 50s, in men and women, respectively. Subjects with dysmetabolic state in both sexes, married women, men with lower PA and higher educational levels at baseline were at higher risk of AO. CONCLUSIONS The incidence of AO is high among Tehranian adults, especially in young men. The risk factors for developing AO should be highlighted to halt this growing trend of AO.
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Kabootari M, Asgari S, Mansournia MA, Khalili D, Valizadeh M, Azizi F, Hadaegh F. Different Weight Histories and Risk of Incident Coronary Heart Disease and Stroke: Tehran Lipid and Glucose Study. J Am Heart Assoc 2018; 7:JAHA.117.006924. [PMID: 29440011 PMCID: PMC5850180 DOI: 10.1161/jaha.117.006924] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background This study aimed to determine the association between different weight histories, including cumulative excess weight, cumulative excess waist circumference (WC), duration of general and central adiposity, current and maximum body mass index, and current and maximum WC, and incident coronary heart disease (CHD) and stroke. Methods and Results The study population consisted of 4398 adults aged ≥40 years without CHD or stroke at baseline. Associations between different weight histories and CHD and stroke were determined by multivariable time‐varying Cox regression models after adjustment for age, sex, and time‐varying confounders. Further adjustment was also done for mediators (eg, diabetes mellitus, hypercholesterolemia, and hypertension). During median follow‐up of 13.9 years, 718 incident CHD and 158 stroke events were documented. Multivariable adjusted hazard ratios (HRs) were calculated in the sex and confounder adjusted model for CHD per 1‐SD increase in cumulative excess weight (HR: 1.02; 95% confidence interval [CI], 0.96–1.07), cumulative excess WC (HR: 1.14; 95% CI, 1.04–1.24), duration of general adiposity (HR: 1.00; 95% CI, 0.92–1.08), duration of central adiposity (HR: 1.01; 95% CI, 0.93–1.09), current body mass index (HR: 1.03; 95% CI, 0.99–1.07), current WC (HR: 1.21; 95% CI, 1.11–1.32), maximum body mass index (HR: 1.01; 95% CI, 0.95–1.07), and maximum WC (HR: 1.17; 95% CI, 1.07–1.28). After further adjustment for mediators, current and maximum WC still showed a significant risk (HR: 1.13 [95% CI, 1.03–1.23] and 1.09 [95% CI, 1.00–1.20], respectively). Moreover, in the sex and confounder adjusted model, cumulative excess WC and maximum WC were associated with higher risk of stroke (hazard ratio: 1.21 [95% CI, 0.99–1.48] and 1.25 [95% CI, 1.02–1.55], respectively). Conclusions Exposure to cumulative excess weight and cumulative excess WC confers little additional risk beyond their current and maximum values. Even current and maximum WC were associated with incident CHD in the presence of obesity mediators, and the latter was a significant predictor of stroke in the presence of confounders.
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Affiliation(s)
- Maryam Kabootari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran 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
| | - Majid Valizadeh
- Obesity 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
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Zameni F, Bakhtiyari M, Mansournia MA, Ramezankhani A, Azizi F, Hadaegh F. Is incident type 2 diabetes associated with cumulative excess weight and abdominal adiposity? Tehran Lipid and Glucose Study. Diabetes Res Clin Pract 2018; 136:134-142. [PMID: 29229382 DOI: 10.1016/j.diabres.2017.12.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 10/28/2017] [Accepted: 12/05/2017] [Indexed: 11/29/2022]
Abstract
AIMS To examine the association of the risk of incident type 2 diabetes (T2D) with cumulative excess weight (CEW) and cumulative excess waist circumference (CEWC) scores. METHODS Adults participants without T2D (n = 4635) aged ≥20 years were included in the study. The differences between the body mass index (BMI) and waist circumference (WC) values and their normal references were calculated until the incident T2D. The CEW and CEWC scores represent the accumulation of BMI and WC deviations from normal values over time, i.e. (kg/m2 × years and cm × years, respectively). Time-dependent Cox models, adjusting for confounders were used to examine the association between CEW/CEWC and the risk of T2D. Further multivariate analyses were performed to examine the association of CEW and CEWC with incident diabetes in baseline BMI and WC strata. RESULTS There were 503 incident cases of T2D over a median follow-up 9.38 years. The multivariate sex adjusted hazard ratios (HR) per one standard deviation (SD) increase in CEW and CEWC were 1.23 (95% CI: 1.15-1.32) and 1.41 (1.25-1.59), respectively. After further adjustment for baseline BMI and WC, no significant association was observed for CEW (1.02: 0.84-1.23) and CEWC (1.09: 0.93-1.28) and incident T2D. A strong association was found between CEW and CEWC with incident diabetes among overweight (2.12: 1.20-3.74) and centrally obese individuals (1.29: 1.10-1.51), respectively. CONCLUSIONS Generally, CEW and CEWC were not associated with risk of T2D, independent of baseline values for BMI and WC, respectively. Moreover, CEW and CEWC highlighted an increased risk among overweight and centrally obese participants for T2D.
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Affiliation(s)
- Fatemeh Zameni
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahmood Bakhtiyari
- Department of Community Medicine, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Azra Ramezankhani
- 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
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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11
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Mirmiran P, Ghorbani Z, Hosseini-Esfahani F. A Narrative Review of Obesity and Its Associated Complications in Iranian Women. WOMEN’S HEALTH BULLETIN 2017. [DOI: 10.17795/whb-40546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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12
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Wang W, Xu H, Chen H, Tai K, Liu F, Gao Y. In vitro antioxidant, anti-diabetic and antilipemic potentials of quercetagetin extracted from marigold (Tagetes erecta L.) inflorescence residues. Journal of Food Science and Technology 2016; 53:2614-24. [PMID: 27478217 DOI: 10.1007/s13197-016-2228-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 01/23/2016] [Accepted: 04/04/2016] [Indexed: 01/28/2023]
Abstract
Quercetagetin, the major flavonoid in marigold (Tagetes erecta L.) inflorescence residues was extracted and purified. The content of quercetagetin after the purification was 89.91 ± 0.26 %. The in vitro antioxidant activity of quercetagetin and its potential in controlling diabetes mellitus and obesity were investigated and compared to quercetin and rutin. The 50 % inhibitory concentration (IC50) values of quercetagetin on scavenging 1, 1-diphenyl-2-picrylhydrazyl (DPPH), 2,2-azinobis-(3-ethylbenzothiazolin-6-sulfonic acid) (ABTS) and hydroxyl radicals were 27.12 ± 1.31 μmol/L, 12.16 ± 0.56 μmol/L and 1833.97 ± 6.66 μmol/L, respectively. The IC50 values of quercetagetin on α-glucosidase, α-amylase and pancreatic lipase were 180.11 ± 3.68 μmol/L, 137.71 ± 3.55 μmol/L and 2327.58 ± 12.37 μmol/L, respectively. These results indicated that quercetagetin exhibited strong in vitro antioxidant, anti-diabetic and antilipemic activities. Lineweaver-Burk plots analysis elucidated that quercetagetin inhibited α-glucosidase and α-amylase non-competitively, while its inhibition against pancreatic lipase was involved in a mixed-type pattern. Moreover, strong correlations were found between ABTS(·+)/DPPH(·) scavenging activities and lipase inhibitory activity (R (2) > 0.90), as well as ·OH scavenging activity and α-amylase inhibitory activity (R (2) = 0.8967).
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Affiliation(s)
- Weiyou Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Laboratory for Food Quality and Safety, Beijing Key Laboratory of Functional Food From Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, Box 112, No.17 Qinghua East Road, Haidian District, Beijing, 100083 China
| | - Honggao Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Laboratory for Food Quality and Safety, Beijing Key Laboratory of Functional Food From Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, Box 112, No.17 Qinghua East Road, Haidian District, Beijing, 100083 China
| | - Hua Chen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Laboratory for Food Quality and Safety, Beijing Key Laboratory of Functional Food From Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, Box 112, No.17 Qinghua East Road, Haidian District, Beijing, 100083 China
| | - Kedong Tai
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Laboratory for Food Quality and Safety, Beijing Key Laboratory of Functional Food From Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, Box 112, No.17 Qinghua East Road, Haidian District, Beijing, 100083 China
| | - Fuguo Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Laboratory for Food Quality and Safety, Beijing Key Laboratory of Functional Food From Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, Box 112, No.17 Qinghua East Road, Haidian District, Beijing, 100083 China
| | - Yanxiang Gao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Laboratory for Food Quality and Safety, Beijing Key Laboratory of Functional Food From Plant Resources, College of Food Science & Nutritional Engineering, China Agricultural University, Box 112, No.17 Qinghua East Road, Haidian District, Beijing, 100083 China
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