1
|
Bergman M, Manco M, Satman I, Chan J, Schmidt MI, Sesti G, Vanessa Fiorentino T, Abdul-Ghani M, Jagannathan R, Kumar Thyparambil Aravindakshan P, Gabriel R, Mohan V, Buysschaert M, Bennakhi A, Pascal Kengne A, Dorcely B, Nilsson PM, Tuomi T, Battelino T, Hussain A, Ceriello A, Tuomilehto J. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 209:111589. [PMID: 38458916 DOI: 10.1016/j.diabres.2024.111589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Many individuals with intermediate hyperglycaemia (IH), including impaired fasting glycaemia (IFG) and impaired glucose tolerance (IGT), as presently defined, will progress to type 2 diabetes (T2D). There is confirmatory evidence that T2D can be prevented by lifestyle modification and/or medications, in people with IGT diagnosed by 2-h plasma glucose (PG) during a 75-gram oral glucose tolerance test (OGTT). Over the last 40 years, a wealth of epidemiological data has confirmed the superior value of 1-h plasma glucose (PG) over fasting PG (FPG), glycated haemoglobin (HbA1c) and 2-h PG in populations of different ethnicity, sex and age in predicting diabetes and associated complications including death. Given the relentlessly rising prevalence of diabetes, a more sensitive, practical method is needed to detect people with IH and T2D for early prevention or treatment in the often lengthy trajectory to T2D and its complications. The International Diabetes Federation (IDF) Position Statement reviews findings that the 1-h post-load PG ≥ 155 mg/dL (8.6 mmol/L) in people with normal glucose tolerance (NGT) during an OGTT is highly predictive for detecting progression to T2D, micro- and macrovascular complications, obstructive sleep apnoea, cystic fibrosis-related diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, and mortality in individuals with risk factors. The 1-h PG of 209 mg/dL (11.6 mmol/L) is also diagnostic of T2D. Importantly, the 1-h PG cut points for diagnosing IH and T2D can be detected earlier than the recommended 2-h PG thresholds. Taken together, the 1-h PG provides an opportunity to avoid misclassification of glycaemic status if FPG or HbA1c alone are used. The 1-h PG also allows early detection of high-risk people for intervention to prevent progression to T2D which will benefit the sizeable and growing population of individuals at increased risk of T2D. Using a 1-h OGTT, subsequent to screening with a non-laboratory diabetes risk tool, and intervening early will favourably impact the global diabetes epidemic. Health services should consider developing a policy for screening for IH based on local human and technical resources. People with a 1-h PG ≥ 155 mg/dL (8.6 mmol/L) are considered to have IH and should be prescribed lifestyle intervention and referred to a diabetes prevention program. People with a 1-h PG ≥ 209 mg/dL (11.6 mmol/L) are considered to have T2D and should have a repeat test to confirm the diagnosis of T2D and then referred for further evaluation and treatment. The substantive data presented in the Position Statement provides strong evidence for redefining current diagnostic criteria for IH and T2D by adding the 1-h PG.
Collapse
Affiliation(s)
- Michael Bergman
- NYU Grossman School of Medicine, Departments of Medicine and of Population Health, Division of Endocrinology, Diabetes and Metabolism, VA New York Harbor Healthcare System, New York, NY, USA.
| | - Melania Manco
- Predictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Ilhan Satman
- Istanbul University Faculty of Medicine, Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul, Turkey
| | - Juliana Chan
- The Chinese University of Hong Kong, Faculty of Medicine, Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Hong Kong, China
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio Texas, USA
| | - Ram Jagannathan
- Hubert Department of Global Health Rollins, School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Rafael Gabriel
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Viswanathan Mohan
- Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Abdullah Bennakhi
- Dasman Diabetes Institute Office of Regulatory Affairs, Ethics Review Committee, Kuwait
| | - Andre Pascal Kengne
- South African Medical Research Council, Francie Van Zijl Dr, Parow Valley, Cape Town, 7501, South Africa
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY, USA
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland; Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, Center of Helsinki, Helsinki, Finland
| | | | - Akhtar Hussain
- Faculty of Health Sciences, Nord University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation (IDF), Brussels, Belgium; Diabetes in Asia Study Group, Post Box: 752, Doha-Qatar; Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - Jaakko Tuomilehto
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain; Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| |
Collapse
|
2
|
Eldakhakhny B, Enani S, Jambi H, Ajabnoor G, Al-Ahmadi J, Al-Raddadi R, Alsheikh L, Abdulaal WH, Gad H, Borai A, Bahijri S, Tuomilehto J. Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study. Biomedicines 2023; 11:3242. [PMID: 38137464 PMCID: PMC10740949 DOI: 10.3390/biomedicines11123242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/27/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
(1) Introduction: given the high prevalence of metabolic syndrome (MetS) in Saudi Arabia, especially in Jeddah, this study aims to understand the dietary and lifestyle-related risk factors among Jeddah's non-diabetic adults. (2) Material and Methods: Employing a cross-sectional design, non-diabetic adults were sourced from public healthcare centers. Demographics, lifestyle, and dietary habits were surveyed. Blood pressure, anthropometrics, and fasting blood samples measuring plasma glucose, serum triglycerides, and HDL cholesterol were collected. The age cut-off for MetS was ascertained using the receiver operating characteristic curve. Variables influencing MetS were evaluated using univariate logistic regression, and consequential factors underwent multivariate analysis, adjusted for age and sex. (3) Results: Among 1339 participants, 16% had MetS, with age being the strongest predictor (p < 0.001). The optimal age cut-off was 32 years. For those <32, elevated BP in men and waist circumference (WC) in women were most prevalent. For those >32, elevated WC was dominant in both sexes. Univariate logistic regression revealed that higher income and education correlated with lower MetS prevalence, while marriage and smoking were risk factors. Adjusting for age and sex, only very high income had a significant low-risk association (p = 0.034). (4) Conclusion: MetS is notable in the studied group, with age as the pivotal predictor. High income reduces MetS risk, while marital status and smoking could increase it. Since this was a cross-sectional study, cohort studies are needed to validate our findings.
Collapse
Affiliation(s)
- Basmah Eldakhakhny
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Sumia Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Hanan Jambi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Ghada Ajabnoor
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jawaher Al-Ahmadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Rajaa Al-Raddadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Lubna Alsheikh
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia; (L.A.); (W.H.A.)
| | - Wesam H. Abdulaal
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia; (L.A.); (W.H.A.)
| | - Hoda Gad
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Alexandria University, Alexandria 21561, Egypt
| | - Anwar Borai
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Jeddah 22384, Saudi Arabia
| | - Suhad Bahijri
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jaakko Tuomilehto
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Department of Public Health, University of Helsinki, FI-00014 Helsinki, Finland
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, FI-00271 Helsinki, Finland
| |
Collapse
|
3
|
Cheng WHG, Mi Y, Dong W, Tse ETY, Wong CKH, Bedford LE, Lam CLK. Non-Laboratory-Based Risk Prediction Tools for Undiagnosed Pre-Diabetes: A Systematic Review. Diagnostics (Basel) 2023; 13:diagnostics13071294. [PMID: 37046512 PMCID: PMC10093270 DOI: 10.3390/diagnostics13071294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Early detection of pre-diabetes (pre-DM) can prevent DM and related complications. This review examined studies on non-laboratory-based pre-DM risk prediction tools to identify important predictors and evaluate their performance. PubMed, Embase, MEDLINE, CINAHL were searched in February 2023. Studies that developed tools with: (1) pre-DM as a prediction outcome, (2) fasting/post-prandial blood glucose/HbA1c as outcome measures, and (3) non-laboratory predictors only were included. The studies’ quality was assessed using the CASP Clinical Prediction Rule Checklist. Data on pre-DM definitions, predictors, validation methods, performances of the tools were extracted for narrative synthesis. A total of 6398 titles were identified and screened. Twenty-four studies were included with satisfactory quality. Eight studies (33.3%) developed pre-DM risk tools and sixteen studies (66.7%) focused on pre-DM and DM risks. Age, family history of DM, diagnosed hypertension and obesity measured by BMI and/or WC were the most common non-laboratory predictors. Existing tools showed satisfactory internal discrimination (AUROC: 0.68–0.82), sensitivity (0.60–0.89), and specificity (0.50–0.74). Only twelve studies (50.0%) had validated their tools externally, with a variance in the external discrimination (AUROC: 0.31–0.79) and sensitivity (0.31–0.92). Most non-laboratory-based risk tools for pre-DM detection showed satisfactory performance in their study populations. The generalisability of these tools was unclear since most lacked external validation.
Collapse
Affiliation(s)
- Will Ho-Gi Cheng
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yuqi Mi
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Weinan Dong
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Emily Tsui-Yee Tse
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Family Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518009, China
| | - Carlos King-Ho Wong
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Laura Elizabeth Bedford
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Cindy Lo-Kuen Lam
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Family Medicine, The University of Hong Kong Shenzhen Hospital, Shenzhen 518009, China
- Correspondence: ; Tel.: +852-2518-5657
| |
Collapse
|
4
|
Ajabnoor GMA, Bahijri SM, Alrashidi W, Enani SM, Alamoudi AA, Al Sheikh L, Eldakhakhny B. ABCA1 C69T Gene Polymorphism Association with Dysglycemia in Saudi Prediabetic Adults. Genes (Basel) 2022; 13:genes13122277. [PMID: 36553543 PMCID: PMC9777653 DOI: 10.3390/genes13122277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/21/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Studies suggest that ATP-binding cassette transporter A1 (ABCA1 C69T) polymorphism is associated with a decreased incidence of type 2 diabetes mellitus (T2DM) and that there is an association between ABCA1 C69T polymorphism and the risk of dyslipidemia in diabetic individuals. However, other studies contradict these suggestions. Therefore, we aimed to investigate the prevalence of ABCA1 C69T (rs1800977) gene polymorphism in a representative sample of the Saudi population not previously diagnosed with diabetes and its possible association with dyslipidemia and dysglycemia. A cross-sectional design was used to recruit nondiabetic adults of both genders from the Saudi population in Jeddah by employing a stratified, two-stage cluster sampling method. A total of 650 people (337 men and 313 women) were recruited. Demographic, dietary, and lifestyle variables, as well as medical history and family history of chronic diseases, were collected using a predesigned questionnaire. Fasting blood samples were taken for the determination of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and lipids profile, which were followed by a 1-h oral glucose tolerance test (OGTT). Real-time PCR technology was used to determine the ABCA1 C69T gene SNP (rs1800977). The T allele of ABCA1 C69T (rs1800977) was very frequent (TT in 44.9% and CT in 43.7%). There was a trend toward significance for a higher dysglycemia percentage in people with CT and TT genotypes (25.7%, and 23.3%, respectively) compared with CC genotypes (16.2%). In addition, FPG and 1-h plasma glucose were significantly higher in people with both TT and CT genotypes compared to CC genotypes. However, T allele was not associated with any dysregulation of lipid parameters.
Collapse
Affiliation(s)
- Ghada M. A. Ajabnoor
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 21551, Saudi Arabia
- Saudi Diabetes Research Group, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Correspondence:
| | - Suhad M. Bahijri
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 21551, Saudi Arabia
- Saudi Diabetes Research Group, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Wafa Alrashidi
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 21551, Saudi Arabia
| | - Sumia Mohammad Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Aliaa A. Alamoudi
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 21551, Saudi Arabia
- Saudi Diabetes Research Group, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Lubna Al Sheikh
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Basmah Eldakhakhny
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 21551, Saudi Arabia
- Saudi Diabetes Research Group, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| |
Collapse
|
5
|
Al- Ahmadi J, Enani S, Bahijri S, Al-Raddadi R, Jambi H, Eldakhakhny B, Borai A, Ajabnoor G, Tuomilehto J. Association between anthropometric indices and non-anthropometric components of the metabolic syndrome in Saudi adults. J Endocr Soc 2022; 6:bvac055. [PMID: 35592514 PMCID: PMC9113350 DOI: 10.1210/jendso/bvac055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Indexed: 11/23/2022] Open
Abstract
Context Waist circumference (WC) is used in screening for metabolic syndrome (MetS) based on its association with cardiometabolic risk. This might apply differently in ethnically different populations. Associations with other measures are also unclear. Objective This work aimed to investigate the association between neck circumference (NC), WC, WC:hip circumference, WC:height (WC:Ht), NC:Ht, fat percentage, body mass index (BMI), conicity index, abdominal volume index, and weight-adjusted waist index with nonanthropometric components of MetS in nondiabetic Saudi adults. Methods This cross-sectional study took place in public health centers in Jeddah, comprising 1365 Saudi adults (772 men and 593 women) aged 18 years or older not previously diagnosed with diabetes. Main outcome measures included the presence of 2 or more nonanthropometric components of the MetS were used to define clinical metabolic abnormality (CMA). The predictive ability of studied anthropometric indices for CMA was determined using the area under receiver operating characteristics (AUC) curve and binary logistic regression. Results A total of 157 men and 83 women had CMA. NC and NC:Ht had the highest predictive ability for CMA in men (odds ratio [OR]NC = 1.79, P < .001 and ORNC:Ht = 1.68, P < .001; AUCNC = 0.69 [95% CI, 0.64-0.74] and AUCNC:Ht = 0.69 [95% CI, 0.64-0.73]). In women, WC had the highest predictive ability ORWC = 1.81, P < .001; AUCWC = 0.75 [95% CI, 0.69-0.80]). Conclusion Upper-body anthropometric indicators that were associated with subcutaneous fat had the highest predictive ability for CMA in men whereas abdominal obesity indictors had the best predictive ability in women, suggesting that fat distribution might contribute to CMA in a sex-specific manner.
Collapse
Affiliation(s)
- Jawaher Al- Ahmadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, king Abdulaziz University, Jeddah, Saudi Arabia
- Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Sumia Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, king Abdulaziz University, Jeddah, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Suhad Bahijri
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, king Abdulaziz University, Jeddah, Saudi Arabia
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Rajaa Al-Raddadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, king Abdulaziz University, Jeddah, Saudi Arabia
- Department of Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Hanan Jambi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Basmah Eldakhakhny
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, king Abdulaziz University, Jeddah, Saudi Arabia
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Anwar Borai
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- King Abdullah International Medical Research Center (KAIMRC), College of Medicine, King Saud Bin Abdulaziz, University for Health Sciences (KSAU-HS), Jeddah 22384, Saudi Arabia
| | - Ghada Ajabnoor
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, king Abdulaziz University, Jeddah, Saudi Arabia
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jaakko Tuomilehto
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia
- Department of Public Health, University of Helsinki, FI-00014 Helsinki, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, FI-00271 Helsinki, Finland
| |
Collapse
|
6
|
Ogurtsova K, Guariguata L, Barengo NC, Ruiz PLD, Sacre JW, Karuranga S, Sun H, Boyko EJ, Magliano DJ. IDF diabetes Atlas: Global estimates of undiagnosed diabetes in adults for 2021. Diabetes Res Clin Pract 2022; 183:109118. [PMID: 34883189 DOI: 10.1016/j.diabres.2021.109118] [Citation(s) in RCA: 273] [Impact Index Per Article: 136.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 12/11/2022]
Abstract
AIMS To provide up-to-date estimates of undiagnosed diabetes mellitus (UDM) prevalence - both globally, and by region/country, for the year 2021. METHODS Data sources reporting diabetes prevalence were identified through a systematic search in the peer-reviewed and grey literature. The prevalence of undiagnosed diabetes was estimated from the data from each country where data was available. For countries without in-country data, the prevalence of undiagnosed diabetes was approximated by extrapolating the average of the estimates from countries with data sources within the same International Diabetes Federation (IDF) region and World Bank income grouping. We then applied these stratified prevalence estimates of UDM from each country to the number of adults in each strata and summed the counts to generate the number of adults with UDM (aged 20-79 years) for 215 countries and territories. RESULTS In 2021, almost one in two adults (20-79 years old) with diabetes were unaware of their diabetes status (44.7%; 239.7 million). The highest proportions of undiagnosed diabetes (53.6%) were found in the Africa, Western Pacific (52.8%) and South-East Asia regions (51.3%), respectively. The lowest proportion of undiagnosed diabetes was observed in North America and the Caribbean (24.2%). CONCLUSIONS Diabetes surveillance needs to be strengthened to reduce the prevalence of UDM, particularly in low- and middle-income countries.
Collapse
Affiliation(s)
- Katherine Ogurtsova
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
| | - Leonor Guariguata
- Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados.
| | - Noël C Barengo
- Herbert Wertheim College of Medicine & Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
| | - Paz Lopez-Doriga Ruiz
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway; Norwegian Institute of Public Health, Oslo, Norway.
| | - Julian W Sacre
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
| | - Suvi Karuranga
- The International Diabetes Federation, Brussels, Belgium.
| | - Hong Sun
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA, USA.
| | - Edward J Boyko
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA, USA.
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Monash University, School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia.
| |
Collapse
|
7
|
Al-Raddadi R, Al-Ahmadi J, Bahijri S, Ajabnoor GM, Jambi H, Enani S, Eldakhakhny BM, Alsheikh L, Borai A, Tuomilehto J. Gender Differences in The Factors associated with Hypertension in Non-Diabetic Saudi Adults-A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111371. [PMID: 34769893 PMCID: PMC8583204 DOI: 10.3390/ijerph182111371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 12/11/2022]
Abstract
The association between lifestyle practices, obesity and increased BP are under-investigated. We aimed to investigate this association to identify the factors associated with hypertension and prehypertension in Saudis. Non-diabetic adults were recruited from public healthcare centers using a cross-sectional design. Recruits were interviewed using a predesigned questionnaire. Weight, height, waist circumference (WC), hip circumference (HC), neck circumference (NC) and BP were measured. The variables were analyzed by comparing the prehypertensive and hypertensive groups with the normotensive group. A total of 1334 adults were included. The study found that 47.2% of men and 24.7% of women were prehypertensive, and 15.1% of men and 14.4% of women were hypertensive. High BMI, WC, NC, and WC: HC ratios were associated with an increased risk of prehypertension and hypertension in men and women. Low physical activity was associated with an increased risk of elevated BP in men, while sleep duration of ≤6 h and sitting for ≥4 h were associated with increased risk in women. Women from central Asia, southeast Asia, and those of mixed origin had a higher prevalence of hypertension compared to those from Arabian tribes. In conclusion, prehypertension and hypertension increase with age and obesity. Gender differences were apparent in the association between several lifestyle practices and prehypertension or hypertension among various ethnic/racial groups.
Collapse
Affiliation(s)
- Rajaa Al-Raddadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jawaher Al-Ahmadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Suhad Bahijri
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Correspondence: ; Tel.: +966-564-370-571
| | - Ghada M. Ajabnoor
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Hanan Jambi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Sumia Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Basmah Medhat Eldakhakhny
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Lubna Alsheikh
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Food, Nutrition and Lifestyle Research Unit, King Fahd for Medical Research Centre, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Anwar Borai
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), College of Medicine, King Abdulaziz Medical City, Jeddah 22384, Saudi Arabia
| | - Jaakko Tuomilehto
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (R.A.-R.); (J.A.-A.); (G.M.A.); (H.J.); (S.E.); (B.M.E.); (L.A.); (A.B.); (J.T.)
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
| |
Collapse
|
8
|
The association between hypertension and other cardiovascular risk factors among non-diabetic Saudis adults-A cross sectional study. PLoS One 2021; 16:e0246568. [PMID: 33621259 PMCID: PMC7901777 DOI: 10.1371/journal.pone.0246568] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 01/21/2021] [Indexed: 11/25/2022] Open
Abstract
Population specific associations between cardiovascular disease with various risk factors including pre-hypertension and hypertension were reported. We aimed to investigate the association of higher than optimal blood pressure with measures of dysglycemia, dyslipidemia, and markers of inflammation in non-diabetic Saudi adults hoping to improve current Saudi guidelines to prevent cardiovascular disease. Volunteers were recruited randomly from public healthcare centers in Jeddah. Demographic information, blood pressure (BP), and anthropometric measurements were taken. Fasting blood samples were drawn, then again following 1-hour oral glucose tolerance test. Glycated hemoglobin, fasting plasma glucose (FPG), lipid profile, highly sensitive C- reactive protein, gamma glutamyl transferase, and 1-hour plasma glucose were measured. Complete data was found for 742 men and 592 women. Pre-hypertension was found in 47.2% of men, and 24.7% of women, while 15.1% of men, and 14.6% of women were hypertensive. Means of measured variables differed significantly between normotensive, pre-hypertensive, and hypertensive groups of men and women in gender specific manner. Association between measured variables and elevated BP, and hypertension were assessed using logistic regression models. After adjustment for age, body mass index and waist circumference, elevated blood pressure was associated with elevated triglycerides in men, while hypertension was significantly associated with elevated fasting plasma glucose, total cholesterol, triglycerides, low density lipoprotein- cholesterol, and low high density lipoprotein- cholesterol in men, and elevated triglycerides, and total cholesterol in women. Therefore, it is strongly recommended to measure lipid profile, specifically TG, for all diagnosed pre-hypertensive and hypertensive patients in addition to FPG for men.
Collapse
|
9
|
Awad SF, Dargham SR, Toumi AA, Dumit EM, El-Nahas KG, Al-Hamaq AO, Critchley JA, Tuomilehto J, Al-Thani MHJ, Abu-Raddad LJ. A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes. Sci Rep 2021; 11:1811. [PMID: 33469048 PMCID: PMC7815783 DOI: 10.1038/s41598-021-81385-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 01/06/2021] [Indexed: 12/23/2022] Open
Abstract
We developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.
Collapse
Affiliation(s)
- Susanne F Awad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.,World Health Organization Collaborating Centre for Disease Epidemiology Analytics On HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation - Education City, P.O. Box 24144, Doha, Qatar.,Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, USA
| | - Soha R Dargham
- Infectious Disease Epidemiology Group, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.,World Health Organization Collaborating Centre for Disease Epidemiology Analytics On HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation - Education City, P.O. Box 24144, Doha, Qatar
| | - Amine A Toumi
- Public Health Department, Ministry of Public Health, Doha, Qatar
| | | | | | | | - Julia A Critchley
- Population Health Research Institute, St George's, University of London, London, UK
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | - Laith J Abu-Raddad
- Infectious Disease Epidemiology Group, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar. .,World Health Organization Collaborating Centre for Disease Epidemiology Analytics On HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine - Qatar, Cornell University, Qatar Foundation - Education City, P.O. Box 24144, Doha, Qatar. .,Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, USA.
| |
Collapse
|
10
|
Jambi H, Enani S, Malibary M, Bahijri S, Eldakhakhny B, Al-Ahmadi J, Al Raddadi R, Ajabnoor G, Boraie A, Tuomilehto J. The Association Between Dietary Habits and Other Lifestyle Indicators and Dysglycemia in Saudi Adults Free of Previous Diagnosis of Diabetes. Nutr Metab Insights 2020; 13:1178638820965258. [PMID: 33116569 PMCID: PMC7570793 DOI: 10.1177/1178638820965258] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 09/13/2020] [Indexed: 11/29/2022] Open
Abstract
Objective: Study the association of dietary habits and other indicators of lifestyle with dysglycemia in Saudi adults. Methods: In a cross-sectional design, data were obtained from 1403 Saudi adults (⩾20 years), not previously diagnosed with diabetes. Demographics, lifestyle variables and dietary habits were obtained using a predesigned questionnaire. Fasting plasma glucose, glycated hemoglobin and 1-hour oral glucose tolerance test were used to identify dysglycemia. Regression analysis was performed to determine the associations of dietary factors and other indicators of lifestyle with dysglycemia. Results: A total 1075 adults (596 men, and 479 women) had normoglycemia, and 328 (195 men, and 133 women) had dysglycemia. Following adjustment for age, BMI and waist circumference, in men the weekly intake of 5 portions or more of red meat and Turkish coffee were associated with decreased odds of having dysglycemia odds ratio (OR) 0.444 (95% CI: 0.223, 0.881; P = .02) and 0.387 (95% CI: 0.202, 0.74; P = .004), respectively. In women, the intake of fresh juice 1 to 4 portions per week and 5 portions or more were associated with OR 0.603 (95% CI: 0.369, 0.985; P = .043) and OR 0.511 (95% CI: 0.279, 0.935; P = .029) decreased odds of having dysglycemia, respectively compared with women who did not drink fresh juice. The intake of 5 times or more per week of hibiscus drink was associated with increased odds of having dysglycemia, OR 5.551 (95% CI: 1.576, 19.55, P = .008) compared with women not using such a drink. Other lifestyle factors were not associated with dysglycemia. Conclusion: Dietary practices by studied Saudis have some impact on risk of dysglycemia, with obvious sex differences.
Collapse
Affiliation(s)
- Hanan Jambi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Sumia Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Manal Malibary
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Suhad Bahijri
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Basmah Eldakhakhny
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jawaher Al-Ahmadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Rajaa Al Raddadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ghada Ajabnoor
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Anwar Boraie
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,King Abdullah International Medical Research Center, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia
| | - Jaakko Tuomilehto
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Public Health, University of Helsinki, Helsinki, Finland.,Department of Public Health Solutions Finnish Institute for Health and Welfare, Helsinki, Finland
| |
Collapse
|
11
|
Enani S, Bahijri S, Malibary M, Jambi H, Eldakhakhny B, Al-Ahmadi J, Al Raddadi R, Ajabnoor G, Boraie A, Tuomilehto J. The Association between Dyslipidemia, Dietary Habits and Other Lifestyle Indicators among Non-Diabetic Attendees of Primary Health Care Centers in Jeddah, Saudi Arabia. Nutrients 2020; 12:E2441. [PMID: 32823801 PMCID: PMC7469008 DOI: 10.3390/nu12082441] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 12/22/2022] Open
Abstract
Diet and other lifestyle habits have been reported to contribute to the development of dyslipidemia in various populations. Therefore, this study investigated the association between dyslipidemia and dietary and other lifestyle practices among Saudi adults. Data were collected from adults (≥20 years) not previously diagnosed with diabetes in a cross-sectional design. Demographic, anthropometric, and clinical characteristics, as well as lifestyle and dietary habits were recorded using a predesigned questionnaire. Fasting blood samples were drawn to estimate the serum lipid profile. Out of 1385 people, 858 (62%) (491 men, 367 women) had dyslipidemia. After regression analysis to adjust for age, body mass index, and waist circumference, an intake of ≥5 cups/week of Turkish coffee, or carbonated drinks was associated with increased risk of dyslipidemia in men (OR (95% CI), 2.74 (1.53, 4.89) p = 0.001, and 1.53 (1.04, 2.26) p = 0.03 respectively), while the same intake of American coffee had a protective effect (0.53 (0.30, 0.92) p = 0.025). Sleep duration <6 h, and smoking were also associated with increased risk in men (1.573 (1.14, 2.18) p = 0.006, and 1.41 (1.00, 1.99) p = 0.043 respectively). In women, an increased intake of fresh vegetables was associated with increased risk (2.07 (1.09, 3.94) p = 0.026), which could be attributed to added salad dressing. Thus, there are sex differences in response to dietary and lifestyle practices.
Collapse
Affiliation(s)
- Sumia Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Suhad Bahijri
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Manal Malibary
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Hanan Jambi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 3270, Saudi Arabia
| | - Basmah Eldakhakhny
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jawaher Al-Ahmadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Rajaa Al Raddadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Ghada Ajabnoor
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Anwar Boraie
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- King Abdullah International Medical Research Center (KAIMRC), College of Medicine, King Saud Bin Abdulaziz, University for Health Sciences (KSAU-HS), Jeddah 22384, Saudi Arabia
| | - Jaakko Tuomilehto
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 3270, Saudi Arabia; (S.B.); (M.M.); (H.J.); (B.E.); (J.A.-A.); (R.A.R.); (G.A.); (A.B.); (J.T.)
- Department of Public Health, University of Helsinki, FI-00014 Helsinki, Finland
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, FI-00271 Helsinki, Finland
| |
Collapse
|