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Asowata OJ, Sakpere AB, Wegbom AI, Emaikwu C, Danladi DK, Okoro I, Oladiran S, Adekolurejo TE, Okekunle AP, Akpa OM. Validating the factor structure and reliability of the sleep quality scale in a community-based study in Ibadan, Nigeria. J Natl Med Assoc 2024:S0027-9684(24)00206-2. [PMID: 39455302 DOI: 10.1016/j.jnma.2024.09.001] [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: 06/07/2024] [Revised: 08/20/2024] [Accepted: 09/25/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND The sleep quality scale (SQS) is a comprehensive multidimensional sleep assessment scale used to evaluate sleep quality (SQ) among adults in the general population. However, the scale is yet to be validated among indigenous African populations such as in Nigeria. This study validated the factor structure and evaluated the reliability of a previously developed SQS among community-based adults in Ibadan, Nigeria. METHODS Data on SQ was extracted from 3,635 adult (≥18 years) from the Community-based Investigation of the Risk Factors for Cardiovascular Disease (COMBAT-CVDs) study. Cronbach-alpha (α) was used to evaluate the internal consistency or reliability of the SQS (>50 % cut-off), while the original 6-factor model of the SQS was explored using exploratory (≥0.5 cut-offs) and confirmatory factor analyses. The chi-square goodness of fit test and multiple fit indices were used to assess model fit at a two-sided P < 0.05. RESULTS Overall, the participant's mean age was 35.33±15.20 years, and 54.60 % were male. The overall reliability estimate for the SQS was 86.00 %, while the restoration after sleep subscale reliability was 93.00 %. The exploratory and confirmatory factor analysis showed that the original 6-factor model of the SQS is a more plausible model for this sample of community-based adults: comparative fit index >0.92, Tucker-Lewis index > 0.91, root mean square error of approximation ≤ 0.05. CONCLUSION Our findings revealed that the SQS is promising for population-based assessment of SQ and may also assist in identifying sleep-related disorders and monitoring the efficacy of sleep treatment among indigenous Africans.
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Affiliation(s)
- Osahon Jeffery Asowata
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria; Department of Pharmacology and Toxicology, East Carolina University, Greenville, NC, United States
| | | | - Anthony Ike Wegbom
- Department of Public Health Sciences, College of Medical Sciences, Rivers State University, Port Harcourt, Nigeria
| | - Charles Emaikwu
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria
| | - David Kadan Danladi
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria
| | - Innocent Okoro
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria
| | - Sunday Oladiran
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria; North-West University, Potchefstroom Campus, South Africa
| | - Tobi Elisha Adekolurejo
- Department of Physiotherapy, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Nigeria
| | - Akinkunmi Paul Okekunle
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria; Department of Food and Nutrition, Seoul National University, 08826, Republic of Korea.
| | - Onoja Matthew Akpa
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Nigeria; Preventive Cardiology Research Unit, College of Medicine, Institute of Cardiovascular Diseases, University of Ibadan, Nigeria; Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, USA.
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Su J, Fan X, Li M, Yu H, Geng H, Qin Y, Lu Y, Pei P, Sun D, Yu C, Lv J, Tao R, Zhou J, Ma H, Wu M. Association of lifestyle with reduced stroke risk in 41 314 individuals with diabetes: Two prospective cohort studies in China. Diabetes Obes Metab 2024; 26:2869-2880. [PMID: 38685601 DOI: 10.1111/dom.15606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 05/02/2024]
Abstract
AIM To investigate the associations of individual and combined healthy lifestyle factors (HLS) with the risk of stroke in individuals with diabetes in China. METHODS This prospective analysis included 41 314 individuals with diabetes [15 191 from the Comprehensive Research on the Prevention and Control of the Diabetes (CRPCD) project and 26 123 from the China Kadoorie Biobank (CKB) study]. Associations of lifestyle factors, including cigarette smoking, alcohol consumption, physical activity, diet, body shape and sleep duration, with the risk of stroke, intracerebral haemorrhage (ICH) and ischaemic stroke (IS) were assessed using Cox proportional hazard models. RESULTS During median follow-up periods of 8.02 and 9.05 years, 2499 and 4578 cases of stroke, 2147 and 4024 of IS, and 160 and 728 of ICH were documented in individuals with diabetes in the CRPCD and CKB cohorts, respectively. In the CRPCD cohort, patients with ≥5 HLS had a 14% lower risk of stroke (hazard ratio (HR): 0.86, 95% confidence interval (CI): 0.75-0.98) than those with ≤2 HLS. In the CKB cohort, the adjusted HR (95% CI) for patients with ≥5 HLS were 0.74 (0.66-0.83) for stroke, 0.74 (0.66-0.83) for IS, and 0.57 (0.42-0.78) for ICH compared with those with ≤2 HLS. The pooled adjusted HR (95% CI) comparing patients with ≥5 HLS versus ≤2 HLS was 0.79 (0.69-0.92) for stroke, 0.80 (0.68-0.93) for IS, and 0.60 (0.46-0.78) for ICH. CONCLUSIONS Maintaining a healthy lifestyle was associated with a lower risk of stroke, IS and ICH among individuals with diabetes.
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Affiliation(s)
- Jian Su
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xikang Fan
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Mengyao Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hao Yu
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Houyue Geng
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yu Qin
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yan Lu
- Department of Non-communicable Chronic Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Dianjianyi Sun
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education (Peking University), Beijing, China
| | - Canqing Yu
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education (Peking University), Beijing, China
| | - Jun Lv
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education (Peking University), Beijing, China
| | - Ran Tao
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jinyi Zhou
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Ming Wu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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Okekunle AP, Asowata OJ, Akpa OM, Fakunle AG, Bodunde I, Komolafe M, Arulogun O, Sarfo FS, Obiako R, Osaigbovo G, Ogbole G, Bello A, Adeniyi S, Calys-Tagoe B, Appiah L, Jenkins C, Oyinloye O, Dambatta H, Balogun O, Singh A, Olalere A, Mensah Y, Ogah OS, Ibinaiye P, Adebayo O, Adebajo O, Adebayo P, Chukwuonye I, Akinyemi R, Ovbiagele B, Owolabi M. Dietary patterns associated with hypertension among stroke-free indigenous Africans: insights from the Stroke Investigative Research and Educational Network study. J Hypertens 2024; 42:620-628. [PMID: 38230616 PMCID: PMC11126300 DOI: 10.1097/hjh.0000000000003662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
BACKGROUND The dietary factors associated with the high burden of hypertension among indigenous Africans remain poorly understood. We assessed the relationship between dietary patterns and hypertension among indigenous Africans. METHOD In this study, 1550 participants with hypertension matched (for age: ± 5 years, sex and ethnicity) with 1550 participants without hypertension were identified from the stroke-free population in the Stroke Investigative Research and Educational Network study in Ghana and Nigeria. Food consumption was assessed using a food frequency questionnaire, and dietary information was summarized using principal component analysis to identify seven dietary patterns. Conditional logistic regression was applied to compute the odds ratio (OR) and 95% confidence interval (CI) for the risk of hypertension by tertiles of dietary patterns adjusting for age, education, income, smoking, alcohol use, physical inactivity, family history of cardiovascular diseases, obesity and salt intake at a two-sided P less than 0.05. RESULTS Multivariable-adjusted OR [95% confidence interval (CI)] for risk of hypertension by second and third tertiles [using the lowest (first) tertile as reference] of dietary patterns were 0.62 (0.48-0.80), 0.70 (0.54-0.90) for whole grains and fruit drinks; 0.87 (0.68-1.12), 0.83 (0.64-1.08) for fruits; 0.85 (0.65-1.10), 0.97 (0.75-1.26) for vegetables, legumes and potatoes; 0.78 (0.60-1.00), 0.84 (0.65-1.08) for fried foods and sweetened drinks; 1.13 (0.88-1.45), 0.80 (0.62-1.03) for poultry product and organ meat; 1.11 (0.86-1.43), 0.88 (0.68-1.14) for red meat; and 1.14 (0.88-1.48), 1.09 (0.84-1.43) for processed foods ( P < 0.05). CONCLUSION A higher adherence to dietary consumption of whole grains and fruits was inversely associated with low odds of hypertension in this population.
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Affiliation(s)
- Akinkunmi Paul Okekunle
- Department of Medicine, University of Ibadan, Nigeria
- Department of Food and Nutrition, Seoul National University, Koreay
| | | | - Onoja Matthew Akpa
- Department of Epidemiology and Medical Statistics
- Institute of Cardiovascular Diseases, University of Ibadan
| | - Adekunle Gregory Fakunle
- Department of Medicine, University of Ibadan, Nigeria
- Department of Public Health, Osun State University, Osogbo, Osun State
| | | | - Morenikeji Komolafe
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife
| | - Oyedunni Arulogun
- Department of Health Promotion and Education, University of Ibadan, Nigeria
| | - Fred Stephen Sarfo
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana
| | | | | | - Godwin Ogbole
- Department of Radiology, College of Medicine, University of Ibadan
| | - Abiodun Bello
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Sunday Adeniyi
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Benedict Calys-Tagoe
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana
| | - Lambert Appiah
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana
| | | | - Olalekan Oyinloye
- Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife
| | | | | | - Arti Singh
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | | | - Yaw Mensah
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana
| | | | | | | | | | | | | | - Rufus Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training College of Medicine
- Center for Genomic and Precision Medicine, University of Ibadan, Nigeria
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, University of California San Francisco, USA
| | - Mayowa Owolabi
- Department of Medicine, University of Ibadan, Nigeria
- Center for Genomic and Precision Medicine, University of Ibadan, Nigeria
- Lebanese American University of Beirut, Lebanon
- Blossom Specialist Medican Centre, Ibadan, Nigeria
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Godbharle S, Kesa H, Jeyakumar A. Processed food consumption and risk of non-communicable diseases (NCDs) in South Africa: evidence from Demographic and Health Survey (DHS) VII. J Nutr Sci 2024; 13:e19. [PMID: 38572366 PMCID: PMC10988147 DOI: 10.1017/jns.2024.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 02/26/2024] [Accepted: 03/01/2024] [Indexed: 04/05/2024] Open
Abstract
We aimed to analyse the association between processed food consumption and the risk of non-communicable diseases (NCDs) in South Africa. In this empirical study, we analysed nationally representative secondary data obtained from the South African Demographic and Health Survey (SADHS) VII. The survey included 13,288 occupied households, of which 11,083 were interviewed. In the interviewed households, 12,717 eligible adults aged 15 and older were identified and 10,336 were successfully interviewed. The study included four processed food groups (i.e. fried foods, takeaway foods/fast foods, salty snacks/packed chips, and processed meats) and eight NCDs (i.e. hypertension, cardiac arrest, cancer, stroke, hypercholesterolaemia, diabetes, chronic bronchitis, and asthma). As per the logistic regression results following adjustment, none of the disease states showed association with all four processed food groups. However, at least three processed food groups showed a significant positive association with hypertension, cardiac arrest, and diabetes. Two processed food groups showed significant positive association with stroke, and chronic bronchitis; one with hypercholesterolaemia and asthma; and cancer was not associated with any food groups. Processed meat and salted snacks/packed chips were each associated with five chronic conditions. In summary, we found that the consumption of any of the processed food groups increased the risk of NCDs in the South African population. Enabling policy and regulatory efforts in the production and distribution of processed foods, combined with improved awareness among the population need to be prioritised for immediate action. Facilitating the populations to choose traditional healthy diets would be a sustainable strategy for the prevention of NCDs.
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Affiliation(s)
- Swapnil Godbharle
- Food Evolution Research Laboratory (FERL), School of Tourism and Hospitality, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa
- Department of Health Sciences, Savitribai Phule Pune University, Pune, India
| | - Hema Kesa
- Food Evolution Research Laboratory (FERL), School of Tourism and Hospitality, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa
| | - Angeline Jeyakumar
- Food Evolution Research Laboratory (FERL), School of Tourism and Hospitality, College of Business and Economics, University of Johannesburg, Johannesburg, South Africa
- Department of Nutrition, University of Nevada, Reno, Nevada, USA
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Okekunle AP, Asowata OJ, Akpa OM, Fakunle AG, Chikowore T, Mohamed SF, Obiako R, Komolafe M, Osaigbovo GO, Ogbole G, Arulogun O, Sarfo FS, Wahab K, Owolabi L, Akinyemi J, Akpalu A, Uvere E, Akinyemi R, Jenkins C, Arnett DK, Lackland D, Ovbiagele B, Ramsay M, Owolabi M. Factors associated with frequency of fruit and vegetable consumption among selected sub-Saharan African populations: evidence from the Cardiovascular H3Africa Innovation Resource Project. Int J Epidemiol 2024; 53:dyad171. [PMID: 38199785 PMCID: PMC10859155 DOI: 10.1093/ije/dyad171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Frequent fruit and vegetable consumption is considered a promising dietary behaviour that protects health. However, most existing studies about the factors associated with this phenomenon among Africans are based on single-country reports, apart from one meta-regression combining smaller studies. This study harmonized large datasets and assessed factors associated with the frequency of fruit and vegetable consumption in this population. METHODS Individual-level data on sociodemographics, lifestyle and diet from 20 443 participants across five African countries (Burkina Faso, Ghana, Kenya, South Africa and Nigeria), from the Stroke Investigative Research and Educational Network (SIREN) and Africa Wits-INDEPTH partnership for Genomic Research (AWI-Gen) studies, were harmonized. Total frequency of fruit and vegetable consumption (in portions/week) was classified as 'low' (≤6), 'moderate' (7-14) and 'high' (≥15). Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of factors associated with the total frequency of fruit and vegetable consumption (using 'low' consumption as the reference) were estimated using multinomial regression models. RESULTS Mean age of participants was 54.3 ± 11.8 years, 10 641 (52.1%) were female, and the median (interquartile range) frequency of total fruit and vegetable consumption was 10.0 (4.0, 21.0) portions/week. Participants with a family history of cardiovascular disease [moderate (aOR, 0.92; 95% CI, 0.85, 1.00) and high (aOR, 0.85; 95% CI, 0.78, 0.92)], current smokers [moderate (aOR, 0.83; 95% CI, 0.74, 0.94) and high (aOR, 0.78; 95% CI, 0.69, 0.88)], current alcohol users [moderate (aOR, 0.92; 95% CI, 0.85, 1.00) and high (aOR, 0.82; 95% CI, 0.76, 0.89)] and physically inactive participants [moderate (aOR, 0.85; 95% CI, 0.75, 0.96) and high (aOR, 0.80; 95% CI, 0.70, 0.90)] were less likely to consume fruits and vegetables frequently. CONCLUSION Africans with lifestyle risk factors for cardiovascular disease were less likely to consume fruit and vegetables frequently.
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Affiliation(s)
- Akinkunmi Paul Okekunle
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Food and Nutrition, Seoul National University, Seoul, Korea
| | - Osahon Jeffery Asowata
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Onoja Matthew Akpa
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Institute of Cardiovascular Diseases, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Adekunle Gregory Fakunle
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Nigeria
| | - Tinashe Chikowore
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Sydney Brenner Institute for Molecular, Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shukri F Mohamed
- Health and Well-Being Program, African Population and Health Research Center, Nairobi, Kenya
| | - Reginald Obiako
- Department of Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Morenikeji Komolafe
- Department of Medicine, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria
| | | | - Godwin Ogbole
- Department of Radiology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oyedunni Arulogun
- Department of Health Promotion and Education, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Fred Stephen Sarfo
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Kolawole Wahab
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | - Lukman Owolabi
- Department of Medicine, Aminu Kano Teaching Hospital, Kano, Nigeria
| | - Joshua Akinyemi
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Albert Akpalu
- Department of Medicine, University of Ghana Medical School, Accra, Ghana
| | - Ezinne Uvere
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Rufus Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training College of Medicine, University of Ibadan, Ibadan, Nigeria
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Carolyn Jenkins
- Department of Nursing, Medical University of South Carolina, Charleston, SC, USA
| | - Donna K Arnett
- Office of the Provost, University of South Carolina, Charleston, SC, USA
| | - Daniel Lackland
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular, Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Human Genetics, National Health Laboratory Service, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Mayowa Owolabi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- School of Medicine, Lebanese American University, Beirut, Lebanon
- Department of Medicine, University College Hospital, Ibadan, Nigeria
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Kalaria RN, Akinyemi RO, Paddick SM, Ihara M. Current perspectives on prevention of vascular cognitive impairment and promotion of vascular brain health. Expert Rev Neurother 2024; 24:25-44. [PMID: 37916306 PMCID: PMC10872925 DOI: 10.1080/14737175.2023.2273393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION The true global burden of vascular cognitive impairment (VCI) is unknown. Reducing risk factors for stroke and cardiovascular disease would inevitably curtail VCI. AREAS COVERED The authors review current diagnosis, epidemiology, and risk factors for VCI. VCI increases in older age and by inheritance of known genetic traits. They emphasize modifiable risk factors identified by the 2020 Lancet Dementia Commission. The most profound risks for VCI also include lower education, cardiometabolic factors, and compromised cognitive reserve. Finally, they discuss pharmacological and non-pharmacological interventions. EXPERT OPINION By virtue of the high frequencies of stroke and cardiovascular disease the global prevalence of VCI is expectedly higher than prevalent neurodegenerative disorders causing dementia. Since ~ 90% of the global burden of stroke can be attributed to modifiable risk factors, a formidable opportunity arises to reduce the burden of not only stroke but VCI outcomes including progression from mild to the major in form of vascular dementia. Strict control of vascular risk factors and secondary prevention of cerebrovascular disease via pharmacological interventions will impact on burden of VCI. Non-pharmacological measures by adopting healthy diets and encouraging physical and cognitive activities and urging multidomain approaches are important for prevention of VCI and preservation of vascular brain health.
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Affiliation(s)
- Raj N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Rufus O Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Stella-Maria Paddick
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Centre, Osaka, Japan
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Shi W, Huang X, Schooling CM, Zhao JV. Red meat consumption, cardiovascular diseases, and diabetes: a systematic review and meta-analysis. Eur Heart J 2023; 44:2626-2635. [PMID: 37264855 DOI: 10.1093/eurheartj/ehad336] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 04/01/2023] [Accepted: 05/16/2023] [Indexed: 06/03/2023] Open
Abstract
AIMS Observational studies show inconsistent associations of red meat consumption with cardiovascular disease (CVD) and diabetes. Moreover, red meat consumption varies by sex and setting, however, whether the associations vary by sex and setting remains unclear. METHODS AND RESULTS This systematic review and meta-analysis was conducted to summarize the evidence concerning the associations of unprocessed and processed red meat consumption with CVD and its subtypes [coronary heart disease (CHD), stroke, and heart failure], type two diabetes mellitus (T2DM), and gestational diabetes mellitus (GDM) and to assess differences by sex and setting (western vs. eastern, categorized based on dietary pattern and geographic region). Two researchers independently screened studies from PubMed, Web of Science, Embase, and the Cochrane Library for observational studies and randomized controlled trials (RCTs) published by 30 June 2022. Forty-three observational studies (N = 4 462 810, 61.7% women) for CVD and 27 observational studies (N = 1 760 774, 64.4% women) for diabetes were included. Red meat consumption was positively associated with CVD [hazard ratio (HR) 1.11, 95% confidence interval (CI) 1.05 to 1.16 for unprocessed red meat (per 100 g/day increment); 1.26, 95% CI 1.18 to 1.35 for processed red meat (per 50 g/day increment)], CVD subtypes, T2DM, and GDM. The associations with stroke and T2DM were higher in western settings, with no difference by sex. CONCLUSION Unprocessed and processed red meat consumption are both associated with higher risk of CVD, CVD subtypes, and diabetes, with a stronger association in western settings but no sex difference. Better understanding of the mechanisms is needed to facilitate improving cardiometabolic and planetary health.
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Affiliation(s)
- Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
| | - Xin Huang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
| | - C Mary Schooling
- School of Public Health and Health Policy, City University of New York, 55 W 125th St, New York, NY 10027, USA
| | - Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Southern District, Hong Kong SAR, China
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Okekunle AP, Jones S, Adeniji O, Watkins C, Hackett M, Di Tanna GL, Owolabi M, Akinyemi R. Stroke in Africa: A systematic review and meta-analysis of the incidence and case-fatality rates. Int J Stroke 2023; 18:634-644. [PMID: 36503371 PMCID: PMC10313746 DOI: 10.1177/17474930221147164] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND The burden of stroke (a leading cause of disability and mortality) in Africa appears to be increasing, but a systematic review of the best available data to support or refute this observation is lacking. AIM To determine the incidence and 1-month case-fatality rates from high-quality studies of stroke epidemiology among Africans. SUMMARY OF REVIEW We searched and retrieved eligible articles on stroke epidemiology among indigenous Africans in bibliographic databases (MEDLINE, ScienceDirect, Google Scholar, and Cochrane library) using predefined search terms from the earliest records through January 2022. Methodological assessment of eligible studies was conducted using the Newcastle-Ottawa scale. Pooling of incidence and case-fatality rates was performed via generalized linear models (Poisson-Normal random-effects model). Of the 922 articles retrieved, 14 studies were eligible for inclusion. The total number of stroke cases was 2568, with a population denominator (total sample size included in population-based registries or those who agreed to participate in door-to-door community studies) of 3,384,102. The pooled crude incidence rate of stroke per 100,000 persons in Africa was 106.49 (95% confidence interval (CI) = 58.59-193.55), I2 = 99.6%. The point estimate of the crude incidence rate was higher among males, 111.33 (95% CI = 56.31-220.12), I2 = 99.2%, than females, 91.14 (95% CI = 47.09-176.37), I2 = 98.9%. One-month case-fatality rate was 24.45 (95% CI = 16.84-35.50), I2 = 96.8%, with lower estimates among males, 22.68 (95% CI = 18.62-27.63), I2 = 12.9%, than females, 27.57 (95% CI = 21.47-35.40), I2 = 51.6%. CONCLUSION The burden of stroke in Africa remains very high. However, little is known about the dynamics of stroke epidemiology among Africans due to the dearth of high-quality evidence. Further continent-wide rigorous epidemiological studies and surveillance programs using the World Health Organization STEPwise approach to Surveillance (WHO STEPS) framework are needed.
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Affiliation(s)
- Akinkunmi Paul Okekunle
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Research Institute of Human Ecology, Seoul National University, Seoul, Republic of Korea
| | | | - Olaleye Adeniji
- Neurology Unit, Department of Medicine, Federal Medical Centre, Abeokuta, Nigeria
| | | | - Maree Hackett
- University of Central Lancashire, Preston, UK
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Gian Luca Di Tanna
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
- Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland
| | - Mayowa Owolabi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Centre for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Rufus Akinyemi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Centre for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
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Markus HS. The diversity of global stroke research in the IJS. Int J Stroke 2023; 18:128-131. [PMID: 36708184 DOI: 10.1177/17474930231153735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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10
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Chen F, Hu W, Chen S, Si A, Zhang Y, Ma J. Stroke mortality attributable to high red meat intake in China and South Korea: An age-period-cohort and joinpoint analysis. Front Nutr 2022; 9:921592. [PMID: 36313118 PMCID: PMC9614311 DOI: 10.3389/fnut.2022.921592] [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: 04/16/2022] [Accepted: 09/26/2022] [Indexed: 12/03/2022] Open
Abstract
The high intake of red meat is well recognized as a major health concern worldwide. It has been recognized as a risk factor for several non-communicable chronic diseases, including stroke. However, previously published studies have not performed a comprehensive analysis of the long-time trend of stroke mortality attributable to high red meat intake in China and South Korea, two countries with similar dietary patterns and changing trends. Therefore, this study aimed to reveal the influence of age, time period, and birth cohort on long-term trends of stroke mortality attributable to high red meat intake and relative gender differences in China and South Korea. Data were obtained from the Global Burden of Disease 2019 database. The age–period–cohort model was used to estimate the effect of age, time period, and birth cohort. The average and annual percent changes were estimated using the joinpoint regression analysis. Results indicated that the overall attributable age-standardized mortality rates of stroke in China decreased by 1.0% (P < 0.05) for female and 0.1% (P > 0.05) for male individuals, compared with a decrease of 4.9% for female and 3.7% for male individuals in South Korea (both P < 0.05). Age–period–cohort analysis revealed that the attributable stroke mortality decreased along with the time period, and increased along with age. Significant gender differences were observed, male individuals in both countries were at higher risk than their female counterparts, especially in China. Joinpoint analysis suggested that the attributable stroke mortality for both genders in South Korea and female individuals in China showed a decreasing trend, while it is stable for male individuals in China. Although prominent reductions were observed during the past decades, the attributable stroke mortality risk in China and South Korea is still high. Our findings indicate that controlling the intake of red meat may be a cost-effective strategy to reduce stroke mortality risk and the corresponding disease burden, especially for Chinese male individuals.
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Affiliation(s)
- Fangyao Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China,Department of Radiology, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Weiwei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Shiyu Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Aima Si
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yuxiang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Jiaojiao Ma
- Department of Neurology, Xi’an Gaoxin Hospital, Xi’an, Shaanxi, China,*Correspondence: Jiaojiao Ma,
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