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Ahmed DY, Adam LN, Ahmed RA, Mirza MK. Assessment of liver enzymes as diagnostic biomarkers in type 2 diabetes mellitus: a cross-sectional study in Zakho, Iraq. Expert Rev Endocrinol Metab 2024; 19:179-185. [PMID: 38050336 DOI: 10.1080/17446651.2023.2291146] [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: 05/31/2023] [Accepted: 11/13/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND This study aimed to identify the prevalence and factors associated with abnormal liver enzyme profiles in individuals with type 2 diabetes (T2D) in Zakho, to assess the association between demographic characteristics, clinical parameters, kidney function tests, lipid profiles, glucose levels, and T2D, and to identify resident risk factors. RESEARCH DESIGN AND METHODS A cross-sectional analysis of T2D patients admitted to Zakho General Hospital was conducted utilizing hospital records. The primary endpoint of interest was attaining HbA1C levels ≥ 6.5%. Analytical methodologies encompassed linear and multivariate logistic regression analyses, with due consideration of the association between diverse parameters and glycemic alterations. Further, the predictive value of biomarkers was evaluated through Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) analyses, complemented by Spearman correlation analysis to explore relationships among laboratory parameters. RESULTS The study found that 89.4% of participants had HbA1C levels above 6.5%, with a preference for T2D among older individuals (mean age: 52.93-49.89 respectively) and females. Age, glucose levels, and liver enzymes positively correlated with HbA1C. CONCLUSIONS The study emphasizes the diagnostic importance of liver enzymes in individuals with type 2 diabetes, suggesting that these biomarkers could be valuable indicators of disease severity and progression.
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Affiliation(s)
- Dilveen Y Ahmed
- Department of Biology, Faculty of Science, University of Zakho, Duhok, Kurdistan Region, Iraq
| | - Lina N Adam
- Department of Biology, Faculty of Science, University of Zakho, Duhok, Kurdistan Region, Iraq
| | - Resan A Ahmed
- Department of Biology, Faculty of Science, University of Zakho, Duhok, Kurdistan Region, Iraq
| | - Mohammed K Mirza
- Department of Biology, Faculty of Science, University of Zakho, Duhok, Kurdistan Region, Iraq
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Martagón AJ, Fermín-Martínez CA, Antonio-Villa NE, Mehta R, Almeda-Valdés P, Vargas-Vázquez A, Muñoz-Hernández L, Gómez-Velasco DV, Elías-López D, Galán-Ramírez GA, del Razo-Olvera FM, Cruz-Bautista I, González-Arellanes R, Aguilar-Salinas CA. Arterial Stiffness and HbA1c: Association Mediated by Insulin Resistance in Hispanic Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11017. [PMID: 36078732 PMCID: PMC9518482 DOI: 10.3390/ijerph191711017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/20/2022] [Accepted: 08/28/2022] [Indexed: 06/15/2023]
Abstract
Arterial stiffness may be associated with glucose metabolism parameters, such as HbA1c, mainly via insulin resistance. We aimed to investigate the association between arterial stiffness and HbA1c and explore the mediator effect of insulin resistance. In this cross-sectional study, arterial stiffness (pulse-wave velocity; PWV), HbA1c, and insulin resistance (METS-IR) were determined in Hispanic adults. In addition to sex and age, various biochemical measurements (glucose, lipid profile, etc.) and adipose tissue (fat mass and visceral fat mass) were considered as potential confounding variables. A multivariate regression analysis shows that HbA1c is associated with PWV, even after adjusting for several confounding variables. Importantly, the results show that insulin resistance mediated 17.9% of the effect of HbA1c over PWV. In conclusion, HbA1c may be a potential resource for predicting arterial stiffness due to the influence of insulin resistance in Hispanic subjects.
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Affiliation(s)
- Alexandro J. Martagón
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Mexico City 64700, Mexico
| | | | | | - Roopa Mehta
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Paloma Almeda-Valdés
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Arsenio Vargas-Vázquez
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Liliana Muñoz-Hernández
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Donají V. Gómez-Velasco
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Daniel Elías-López
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Gabriela A. Galán-Ramírez
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Fabiola Mabel del Razo-Olvera
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Ivette Cruz-Bautista
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Rogelio González-Arellanes
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Mexico City 64700, Mexico
| | - Carlos A. Aguilar-Salinas
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
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Liu L, Zhen D, Fu S, Sun W, Li H, Zhao N, Hou L, Tang X. Associations of the baseline level and change in glycosylated hemoglobin A1c with incident hypertension in non-diabetic individuals: a 3-year cohort study. Diabetol Metab Syndr 2022; 14:54. [PMID: 35436969 PMCID: PMC9014640 DOI: 10.1186/s13098-022-00827-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 04/05/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Diabetes mellitus increases the risk of developing hypertension. The relationship between glycosylated hemoglobin A1c (HbA1c) level and incident hypertension remains controversial. This study examined the associations of the baseline level and change in the HbA1c level over 3 years with incident hypertension in non-diabetic individuals. METHODS This community-based cohort study was conducted with 2591 individuals aged 40-75 years without hypertension or diabetes at baseline, who participated in a longitudinal (REACTION) study program. Questionnaires were administered during interviews, and anthropometric and laboratory measurements were performed at baseline (2011) and follow-up (2014-2015). Multivariate logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of incident hypertension. RESULTS Over a median follow-up period of 3.08 years (interquartile range 3.00, 3.25), 384 (14.82%) subjects developed hypertension. In the fully adjusted linear regression models, change in HbA1c remained significantly associated with changes in systolic blood pressure and diastolic blood pressure [β-coefficient (95% CI), 4.421 (2.811-6.032), 1.681 (0.695-2.667)]. Logistic regression analyses showed that baseline HbA1c level was positively associated with incident hypertension in the unadjusted model; however, the association was no longer significant after further adjustment. Change in HbA1c was positively associated with the development of hypertension, both as a categorical variable stratified by tertiles [adjusted OR (95% CI) in the highest tertile was 1.690 (1.240-2.303) versus the lowest tertile)] and as a continuous variable [adjusted OR (95% CI), 1.242 (1.106-1.394)], independent of age, sex, body mass index, systolic blood pressure, fasting plasma glucose level, lipid profile, the HbA1c level at baseline and 3-year change in body mass index. CONCLUSIONS A higher baseline HbA1c level was not an independent risk factor for incident hypertension, whereas the change in HbA1c was independently associated with a greater longitudinal increase in blood pressure and an increased risk of incident hypertension in non-diabetic individuals.
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Affiliation(s)
- Lijuan Liu
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Donghu Zhen
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Songbo Fu
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Weiming Sun
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Hongli Li
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Nan Zhao
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Lijie Hou
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
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Han Z, Kang X, Zhang J, Wang J, Liu Y, Liu J, Wu Z, Li X, Zhao X, Guo X, Chen S, Tao L. Glycated Hemoglobin and Risk of Arterial Stiffness in a Chinese Han Population: A Longitudinal Study. Front Endocrinol (Lausanne) 2022; 13:854875. [PMID: 35574013 PMCID: PMC9098962 DOI: 10.3389/fendo.2022.854875] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND AIMS Glycated hemoglobin (HbA1c) associates with the risk of arterial stiffness, and such association can be found between fasting blood glucose (FBG), postprandial blood glucose (PBG), triglyceride-glucose index (TyG index), and arterial stiffness. However, the results were inconsistent, longitudinal studies were sparse, and comparison of these glycemic parameters was less conducted. We aimed to explore the longitudinal relationship between HbA1c and arterial stiffness and compare the effect of the parameters. METHODS Data were collected from 2011 to 2019 in Beijing Health Management Cohort (BHMC) study. Cox proportional hazard models were fitted to investigate the association between the parameters and arterial stiffness. A generalized estimation equation (GEE) analysis was conducted to investigate the effect of repeated measurements of glycemic parameters. A receiver operating characteristic (ROC) analysis was performed to compare the predictive value of glycemic parameters for arterial stiffness. RESULTS Among 3,048 subjects, 591 were diagnosed as arterial stiffness during the follow-up. The adjusted hazard ratio (HR) [95% confidence interval (CI)] for arterial stiffness of the highest quartile group of HbA1c was 1.63 (1.22-2.18), which was higher than those of FBG, PBG, and TyG index. The nonlinear association of arterial stiffness with HbA1c and PBG was proved. The robust results of the sensitivity analysis were obtained. CONCLUSIONS HbA1c is an important risk factor of arterial stiffness compared with PBG, FBG, and TyG index, and has a strong predictive ability for arterial stiffness among non-diabetics and the general population.
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Affiliation(s)
- Ze Han
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaoping Kang
- Rehabilitation Centre, Beijing Xiaotangshan Hospital, Beijing, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jinqi Wang
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yue Liu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jia Liu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiyuan Wu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Public Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
| | - Xiaoyu Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuo Chen
- Information Department, Beijing Physical Examination Center, Beijing, China
- *Correspondence: Lixin Tao, ; Shuo Chen,
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- *Correspondence: Lixin Tao, ; Shuo Chen,
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Antoniou S, Naka KK, Papadakis M, Bechlioulis A, Tsatsoulis A, Michalis LK, Tigas S. Effect of glycemic control on markers of subclinical atherosclerosis in patients with type 2 diabetes mellitus: A review. World J Diabetes 2021; 12:1856-1874. [PMID: 34888012 PMCID: PMC8613661 DOI: 10.4239/wjd.v12.i11.1856] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/29/2021] [Accepted: 10/14/2021] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular disease is the predominant cause of death in type 2 diabetes mellitus (T2DM). Evidence suggests a strong association between duration and degree of hyperglycemia and vascular disease. However, large trials failed to show cardiovascular benefit after intensive glycemic control, especially in patients with longer diabetes duration. Atherosclerosis is a chronic and progressive disease, with a long asymptomatic phase. Subclinical atherosclerosis, which is impaired in T2DM, includes impaired vasodilation, increased coronary artery calcification (CAC), carotid intima media thickness, arterial stiffness, and reduced arterial elasticity. Each of these alterations is represented by a marker of subclinical atherosclerosis, offering a cost-effective alternative compared to classic cardiac imaging. Their additional use on top of traditional risk assessment strengthens the predictive risk for developing coronary artery disease (CAD). We, herein, review the existing literature on the effect of glycemic control on each of these markers separately. Effective glycemic control, especially in earlier stages of the disease, attenuates progression of structural markers like intima-media thickness and CAC. Functional markers are improved after use of newer anti-diabetic agents, such as incretin-based treatments or sodium-glucose co-transporter-2 inhibitors, especially in T2DM patients with shorter disease duration. Larger prospective trials are needed to enhance causal inferences of glycemic control on clinical endpoints of CAD.
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Affiliation(s)
- Sofia Antoniou
- Department of Endocrinology, University of Ioannina, Ioannina 45110, Greece
| | - Katerina K Naka
- 2nd Department of Cardiology and Michaelidion Cardiac Center, University of Ioannina, Ioannina 45110, Greece
| | - Marios Papadakis
- Department of Surgery II, University of Witten-Herdecke, Wuppertal 42283, Germany
| | - Aris Bechlioulis
- 2nd Department of Cardiology and Michaelidion Cardiac Center, University of Ioannina, Ioannina 45110, Greece
| | | | - Lampros K Michalis
- 2nd Department of Cardiology and Michaelidion Cardiac Center, University of Ioannina, Ioannina 45110, Greece
| | - Stelios Tigas
- Department of Endocrinology, University of Ioannina, Ioannina 45110, Greece
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De Oliveira CM, Tureck LV, Alvares D, Liu C, Horimoto ARVR, de Oliveira Alvim R, Krieger JE, Pereira AC. Cardiometabolic risk factors correlated with the incidence of dysglycaemia in a Brazilian normoglycaemic sample: the Baependi Heart Study cohort. Diabetol Metab Syndr 2020; 12:6. [PMID: 31956344 PMCID: PMC6958593 DOI: 10.1186/s13098-019-0512-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 12/27/2019] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Dysglycaemia is defined by elevated glucose levels in the blood, commonly characterized by impaired fasting glucose, impaired glucose tolerance, elevated glycated haemoglobin, or diabetes mellitus (DM) diagnosis. The abnormal levels of glucose may occur many years before DM, a condition known as prediabetes, which is correlated with comorbidities such as cardiovascular diseases. Therefore, the aim of this study was to investigate the incidence of prediabetic dysglycaemia and its relationship with cardiometabolic risk factors at a 5-year follow-up, based on an initially normoglycaemic sample in the Baependi Heart Study cohort. METHODS The data used comes from the Baependi Heart Study cohort, which consists of two periods: cycle 1 (2005-2006) and cycle 2 (2010-2013). For this study, we excluded those who had fasting blood glucose ≥ 100 mg/dL or were taking anti-diabetic medications at baseline, and those that had diabetes diagnosed in cycle 2. Mixed-effects logistic regression models were used to assess the association between cardiometabolic risk factors and the incidence of dysglycaemia, including a familiar random effect such as a cluster. RESULTS The incidence of prediabetic dysglycaemia was 12.8%, and it did not differ between men and women (14.4% and 11.6%, respectively). Two models were analysed to investigate the relationship between cardiometabolic risk factors and the occurrence of prediabetic dysglycaemia. The model that better explained the occurrence of dysglycaemia over the 5 years, after correction, included the waist circumference (WC) (measures and Δ), systolic blood pressure (SBP), HDL-c levels, and age. Although sex was not associated with the incidence of dysglycaemia, women and men showed differences in cardiometabolic risk factors related to glucose impairment: men who developed dysglycaemia showed, in parallel, higher LDL-c levels, TC/HDL-c ratio and DBP measurements; while these parameters remained similar between women who developed dysglycaemia and dysglycaemia-free women, after 5 years. CONCLUSIONS In an initially normoglycaemic sample of a highly mixed population living in a traditional Brazilian lifestyle, important cardiometabolic risk factors were associated with the occurrence of prediabetic dysglycaemia, and this relationship appeared to be more important in men. These results provide important insights about cardiovascular risk in prediabetic individuals.
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Affiliation(s)
- Camila Maciel De Oliveira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Sao Paulo, Brazil
- Department of Integrative Medicine, Federal University of Parana, Curitiba, Brazil
- Global Co-creation Lab, Institute for Medical Engineering and Science, Massachussets Institute of Tecnology (MIT), Cambridge, USA
| | | | - Danilo Alvares
- Department of Statistics, Pontifícia Universidad Católica de Chile, Santiago, Chile
| | - Chunyu Liu
- Framingham Heart Study, Framingham, USA
- Department of Biostatistics, Boston University, Boston, USA
| | | | | | - José Eduardo Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Sao Paulo, Brazil
| | - Alexandre C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Sao Paulo, Brazil
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Cavero-Redondo I, Martínez-Vizcaíno V, Álvarez-Bueno C, Recio-Rodríguez JI, Gómez-Marcos MÁ, García-Ortiz L. Relationship between glycaemic levels and arterial stiffness in non-diabetic adults. Med Clin (Barc) 2018; 150:56-60. [PMID: 28923672 DOI: 10.1016/j.medcli.2017.06.072] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 06/18/2017] [Accepted: 06/22/2017] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To examine, in a non-diabetic population, whether the association between arterial stiffness and glycaemic levels depends on the test used as a glycaemic indicator, fasting plasma glucose (FPG) or glycated haemoglobin A1c (HbA1c). PATIENT POPULATION AND METHODS A cross-sectional analysis of a 220 non-diabetic subsample from the EVIDENT II study in which FPG, HbA1c and arterial stiffness-related parameters (pulse wave velocity, radial and central augmentation index, and central pulse pressure) were determined. Mean differences in arterial stiffness-related parameters by HbA1c and FPG tertiles were tested using analysis of covariance. RESULTS All means of arterial stiffness-related parameters increased by HbA1c tertiles, although mean differences were only statistically significant in pulse wave velocity (p ≤.001), even after controlling for potential confounders (HbA1c <5.30% = 6.88 m/s; HbA1c 5.30%-5.59% = 7.06 m/s; and HbA1c ≥5.60% = 8.16 m/s, p =.004). Conversely, mean differences in pulse wave velocity by FPG tertiles did not reach statistically significant differences after controlling for potential confounders (FPG 4.44 mmol/l = 7.18 m/s; FPG 4.44 mmol/l-4.87 mmol/l = 7.26 m/s; and FPG ≥4.88 mmol/l = 7.93 m/s, p =.066). CONCLUSIONS Glucose levels in a non-diabetic population were associated with arterial stiffness but better when levels were determined using HbA1c.
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Affiliation(s)
- Iván Cavero-Redondo
- Centro de Investigación Sanitaria y Social, Universidad de Castilla-La Mancha, Cuenca, España
| | - Vicente Martínez-Vizcaíno
- Centro de Investigación Sanitaria y Social, Universidad de Castilla-La Mancha, Cuenca, España; Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile.
| | - Celia Álvarez-Bueno
- Centro de Investigación Sanitaria y Social, Universidad de Castilla-La Mancha, Cuenca, España
| | - José Ignacio Recio-Rodríguez
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Unidad de Investigación de Atención Primaria, Centro de Salud La Alamedilla, Servicio de Salud de Castilla León, Salamanca, España; Departamento de Enfermería y Fisioterapia, Universidad de Salamanca, Salamanca, España
| | - Manuel Ángel Gómez-Marcos
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Unidad de Investigación de Atención Primaria, Centro de Salud La Alamedilla, Servicio de Salud de Castilla León, Salamanca, España; Departamento de Medicina, Universidad de Salamanca, Salamanca, España
| | - Luis García-Ortiz
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Unidad de Investigación de Atención Primaria, Centro de Salud La Alamedilla, Servicio de Salud de Castilla León, Salamanca, España; Departamento de Ciencias Biomédicas y Diagnósticas, Universidad de Salamanca, Salamanca, España
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8
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Beijamini F, Knutson KL, Lorenzi-Filho G, Egan KJ, Taporoski TP, De Paula LKG, Negrão AB, Horimoto ARVR, Duarte NE, Vallada H, Krieger JE, Pedrazzoli M, Pereira AC, von Schantz M. Timing and quality of sleep in a rural Brazilian family-based cohort, the Baependi Heart Study. Sci Rep 2016; 6:39283. [PMID: 28008932 PMCID: PMC5180217 DOI: 10.1038/srep39283] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 11/22/2016] [Indexed: 11/17/2022] Open
Abstract
Sleep is modulated by several factors, including sex, age, and chronotype. It has been hypothesised that contemporary urban populations are under pressure towards shorter sleep duration and poorer sleep quality. Baependi is a small town in Brazil that provides a window of opportunity to study the influence of sleep patterns in a highly admixed rural population with a conservative lifestyle. We evaluated sleep characteristics, excessive daytime sleepiness, and chronotype using the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale and Morningness-Eveningness Questionnaire questionnaires, respectively. The sample consisted of 1,334 subjects from the Baependi Heart study (41.5% male; age: 46.5 ± 16.2 y, range: 18-89 years). Average self-reported sleep duration was 07:07 ± 01:31 (bedtime 22:32 ± 01:27, wake up time: 06:17 ± 01:25 hh:min), sleep quality score was 4.9 + 3.2, chronotype was 63.6 ± 10.8 and daytime sleepiness was 7.4 ± 4.8. Despite a shift towards morningness in the population, chronotype remained associated with reported actual sleep timing. Age and sex modulated the ontogeny of sleep and chronotype, increasing age was associated with earlier sleep time and shorter sleep duration. Women slept longer and later, and reported poorer sleep quality than men (p < 0.0001). This study provides indirect evidence in support of the hypothesis that sleep timing was earlier prior to full urbanisation.
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Affiliation(s)
- F. Beijamini
- Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP, Brazil
- Centre for Health Sciences, State University of Western Paraná, UNIOESTE, Francisco Beltrão, PR, Brazil
| | - K. L. Knutson
- Department of Medicine, University of Chicago, Chicago IL, USA
| | - G. Lorenzi-Filho
- Sleep Laboratory, Pulmonary Division, Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - K. J. Egan
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK
| | - T. P. Taporoski
- Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - L. K. G. De Paula
- Sleep Laboratory, Pulmonary Division, Heart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brazil
| | - A. B. Negrão
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - A. R. V. R. Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - N. E. Duarte
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - H. Vallada
- Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP, Brazil
| | - J. E. Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - M. Pedrazzoli
- School of Arts, Sciences and Humanities, University of São Paulo, SP, Brazil
| | - A. C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - M. von Schantz
- Institute of Psychiatry, University of São Paulo Medical School, São Paulo, SP, Brazil
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
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