View options
Result details

Results per page
Articles per page View Sort by

2 results matched your search query
Keywords = Cardiovascular Disease

  • Open Access Mini Review
    Export citation: APA   BibTeX   EndNote   RIS  
    Trends Journal of Sciences Research 2018, 3(2), 75-81. http://doi.org/10.31586/Nursing.0302.03
    80 Views 37 Downloads PDF Full-text (2.583 MB)  HTML Full-text
    Abstract
    Genotype and lifestyle factors have been implicated as the causes of non-communicable diseases including diabetes, cardiovascular diseases, cancer and chronic respiratory disease. Lifestyle factors constitute physical activity, smoking, alcohol intake and dietary habits. These factors alongside genetic factors have been studied over the past years on their relationships with non-communicable
    [...] Read more.
    Genotype and lifestyle factors have been implicated as the causes of non-communicable diseases including diabetes, cardiovascular diseases, cancer and chronic respiratory disease. Lifestyle factors constitute physical activity, smoking, alcohol intake and dietary habits. These factors alongside genetic factors have been studied over the past years on their relationships with non-communicable diseases. This review examined and compared the strengths of the two factors, lifestyle and genotype, in causing non-communicable diseases. A search was done online, predominantly with PubMed, to identify articles that contained the keywords, lifestyle, diet, exercise, genotype, gene, non-communicable diseases, cardiovascular diseases, cancer, chronic respiratory disease, diabetes. For diabetes, the results of this review showed that management of lifestyle factors can be used to prevent type 2 diabetes among genetically predisposed persons. Cancers studies have suggested that a Mediterranean diet is associated with lower cancer risk for both genetically susceptible people and non-susceptible individuals. Similar findings were gotten for cardiovascular diseases and chronic respiratory diseases. The results suggest a strong impact of lifestyle-related factors as a cause of non-communicable diseases though genetic factors cannot be underestimated. With good management of lifestyle factors, non-communicable diseases can be prevented and the risks reduced even among genetically high-risk individuals.  Full article
    References
    [1]
    World Health Organisation, Global action plan for the prevention and control of non-communicable diseases 2013-2020. Available at: who.int/iris/bitstream/10665/94384/1/9789241506236_eng.pdf. 2013. Accessed March 22, 2017.
    [2]
    Melaku YA, Temesgen AM, Deribew A, Tessema GA, Deribe K, Sahle BW, et al. The impact of dietary risk factors on the burden of non-communicable diseases in Ethiopia: findings from the Global Burden of Disease study 2013. International Journal of Behavioral Nutrition and Physical Activity 13 (2016) 122-134.
    [3]
    Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Mottaghi A, Aziz F. The effect of interactions of Single Nucleotide Polymorphisms of APOA1/APOC3 with food group intakes on the risk of metabolic syndrome. Avicenna J Med Biotech 9 (2017) 94-103.
    [4]
    Chikwere P, Annan RA. Dietary habit and other lifestyles and serum lipid profile of type 2 diabetes patients: a systematic review. Nutrition & Food Science 46 (2016) 161-170.
    [5]
    Chikwere P, Nsiah K, Tandoh MA. Relation of unsupported and unsupervised exercise with anthropometric and biochemical indices among type 2 diabetic patients. Turk J Med Sci 47 (2017) 85-90.
    [6]
    Naicker A, Venter CS, MacIntyre, UE, Ellis S. Dietary quality and patterns and non-communicable disease risk of an Indian community in KwaZulu-Natal. South Africa Journal of Health, Population and Nutrition 33 (2015) 12-20.
    [7]
    Chikwere P, Nsiah K, Tandoh MA, Agyenim-Boateng K. The relation of dietary pattern to serum lipid profile and uric acid among type 2 diabetes patients. J. Nutr. Ecol. Food Res 2 (2014) 207-213.
    [8]
    Neel JV. Diabetes mellitus: a ??thrifty?? genotype rendered detrimental by ??progress??? Am J Hum Genet 14 (1962) 353-362.
    [9]
    Langenberg C, Sharp S, Forouhi NG, Franks P, Schulze MB, Kerrison N, et al. The InterAct Project: An Examination of the Interaction of Genetic and Lifestyle Factors on the Incidence of Type 2 Diabetes in the EPIC Study. Diabetologia 54 (2011) 2272-2282.
    [10]
    Langenberg C, Sharp SJ, Franks PW, Scott RA, Deloukas P, Forouhi NG, et al. Gene-lifestyle interaction and type 2 diabetes: The EPIC InterAct case-cohort study. PLoS Med 11 (2014) e1001647.
    [11]
    Walker CG, Solis-Trapala I, Holzapfe C, Ambrosini GL, Fuller NR, Loos RJF, et al. Modelling the interplay between lifestyle factors and genetic predisposition on markers of type2 diabetes mellitus risk. PLoS ONE 10 (2015) e0131681.
    [12]
    Phillips CM. Nutrigenetics and metabolic disease: current status and implications for personalised nutrition. Nutrients 5 (2013) 32-57.
    [13]
    Hivert M, Jablonski KA, Perreault, L. Updated genetic score based on 34 con?rmed type 2 diabetes loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program. Diabetes 60 (2011) 1340-1348.
    [14]
    Chikwere P. Functional foods and nutraceuticals, wonders in cancer risks - a review. World Scientific News 64 (2017) 18-33.
    [15]
    Buckland G, Agudo A, Luj?n L, Jakszyn P, Bueno-de-Mesquita H, Palli D, et al. Adherence to a Mediterranean diet and risk of gastric adenocarcinoma within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort study. Am J Clin Nutr 91 (2010) 381-390.
    [16]
    Ib??ez-Sanz G, D?ez-Villanueva A, Henar Alonso M, Rodr?guez-Moranta F, P?rez-G?mez B, Bustamante M, et al. Risk Model for Colorectal Cancer in Spanish Population Using Environmental and Genetic Factors: Results from the MCC-Spain study. Scientific Reports 7 (2017) 43263.
    [17]
    Stein B, Anderson JC, Rajapakse R, Alpern ZA, Messina CR, Walker G. Body mass index as a predictor of colorectal neoplasia in ethnically diverse screening population. Dig Dis Sci 55 (2010) 2945-2952.
    [18]
    Abul? A, Fern?ndez-Rozadilla C, Alonso-Espinaco V, Mu?oz J, Gonzalo V, Bessa X, et al. Case-control study for colorectal cancer genetic susceptibility in EPICOLON: previously identified variants and mucins. BMC Cancer 11 (2011) 339-346.
    [19]
    Huo D, Zheng Y, Ogundiran TO, Adebamowo C, Nathanson KL, Domchek SM, et al. Evaluation of 19 susceptibility loci of breast cancer in women of African ancestry. Carcinogenesis 33 (2012) 835?840.
    [20]
    Ko K-P, Kim S-W, Ma SH, Park B, Ahn Y, Lee JW, et al. Dietary intake and breast cancer among carriers and noncarriers of BRCA mutations in the Korean Hereditary Breast Cancer Study. Am J Clin Nutr 98 (2013) 1493-1501.
    [21]
    Toledo E, Salas-Salvad? J, Donat-Vargas C, Buil-Cosiales P, Estruch R, Ros E, et al. Mediterranean Diet and Invasive Breast Cancer Risk Among Women at High Cardiovascular Risk in the PREDIMED Trial: A Randomized Clinical Trial. JAMA Intern Med 175 (2015) 1752-1760.
    [22]
    Sanchez NF, Stierman B, Saab S, Mahajan D, Yeung H, Francois F. Physical activity reduces risk for polyps in a multiethnic colorectal cancer screening population. BMC Research Notes 5 (2012) 312-319.
    [23]
    Folkersen L, van?t Hooft F, Chernogubova E, Agardh HE, Hansson GK, Hedin U. Association of genetic risk variants with expression of proximal genes identifies novel susceptibility genes for cardiovascular disease. Circ Cardiovasc Genet 3 (2010) 365-373.
    [24]
    Sotos-Prieto M, Baylin A, Campos H, Qi L, Mattei J. Lifestyle Cardiovascular Risk Score, Genetic Risk Score, and Myocardial Infarction in Hispanic/Latino Adults Living in Costa Rica. J Am Heart Assoc 5 (2016) e004067.
    [25]
    Corella D, Asensio EM, Coltell O, Sorl?, J. V., Estruch, R., Martinez-Gonz?lez, M.A, et al. CLOCK gene variation is associated with incidence of type 2 diabetes and cardiovascular diseases in type 2 diabetic subjects: dietary modulation in the PREDIMED randomized trial. Cardiovascular Diabetology 15 (2016) 4-15.
    [26]
    Garg V, Muth AN, Ransom JF, Schluterman MK, Barnes R, King IN, et al. Mutation in NOTCH1 cause aortic valve disease. Nature 437 (2005) 270-274.
    [27]
    Khera AV, Emdin CA, Drake I. Genetic risk, adherence to a healthy lifestyle, and coronary disease. N Engl J Med 375 (2016) 2349-2358.
    [28]
    Micha R, Pe?alvo JL, Cudhea F, Imamura F, Rehm CD, Mozaffarian D. Association between dietary factors and mortality from heart disease, stroke, and type 2 diabetes in the United States. JAMA 317 (2017) 912-924.
    [29]
    Estruch R, Ros E, Salas-Salvad? J. Primary Prevention of Cardiovascular Disease with a Mediterranean Diet. N Engl J Med 368 (2013) 1279-1290.
    [30]
    McKeever TM, Lewis SA, Cassano PA, Ock? M, Burney P, Britton J, Smit HA, et al. Patterns of dietary intake and relation to respiratory disease, forced expiratory volume in 1 s, and decline in 5-y forced expiratory volume. Am J Clin Nutr 92 (2010) 408-415.
    [31]
    Powell R, Davidson D, Divers J, Manichaikul A, Jeffrey Carr J, Detrano R, et al. Genetic ancestry and the relationship of cigarette smoking to lung function and per cent emphysema in four race/ethnic groups: a cross-sectional study. Thorax 68 (2013) 634-642.
    [32]
    Sorli-Aguilar M, Martin-Lujan F, Flores-Mateo G, Arija-Val V, Basora-Gallisa J, Sola-Alberich R. Dietary patterns are associated with lung function among Spanish smokers without respiratory disease. BMC Pulmonary Medicine 16 (2016) 162-173.
    [33]
    Sabater-Lleal M, M?larstig A, Folkersen L, Artigas MS, Baldassarre D, Kavousi M, Almgren P, et al. Common Genetic Determinants of Lung Function, Subclinical Atherosclerosis and Risk of Coronary Artery Disease. PLoS ONE 9 (2014) e104082.
  • Open Access Research Article
    Export citation: APA   BibTeX   EndNote   RIS  
    Trends Journal of Sciences Research 2015, 2(4), 126-133. http://doi.org/10.31586/CardiovascularDisease.0204.03
    1 Views 17 Downloads 1 Citations PDF Full-text (882.186 KB)  HTML Full-text
    Abstract
    Cardiovascular disease (CVD) is a leading cause of further morbidity and mortality in type 2 diabetes patients. This study aimed to find the serum lipid profile, serum uric acid levels, other CVD risk factors, and how these factors are affected by diabetes duration in adults with type 2 diabetes. The
    [...] Read more.
    Cardiovascular disease (CVD) is a leading cause of further morbidity and mortality in type 2 diabetes patients. This study aimed to find the serum lipid profile, serum uric acid levels, other CVD risk factors, and how these factors are affected by diabetes duration in adults with type 2 diabetes. The cross- sectional study, involving 100 subjects, was carried out at the Diabetes Centre, Komfo Anokye Teaching Hospital (KATH), Kumasi, Ghana. Adult type 2 diabetes patients, 20 years or older, were recruited for the study. The National Cholesterol Education Program (NCEP) Adult Panel III and American Diabetes Association (ADA) guidelines were used to find the metabolic status of the patients. Of the 100 patients, 74% and 62% had high systolic blood pressure and abdominal obesity, respectively. Also, high LDL-cholesterol and hypercholesterolaemia were found in 47% and 46% of the patients, respectively. Forty-six percent (46%) of the patients were hyperuricaemic. Cardiovascular disease risk increased with age from 20 to 79 years. The female diabetics had more adverse CVD risk profile than the male diabetics (high LDL, 55% vs. 23.1%; high total cholesterol, 54.1% vs. 23.1%; high triglycerides, 32.4% vs. 30.8%; low HDL, 25.7% vs. 3.8%). Fifty percent (50%) of females compared to 34.6% of males were hyperuricaemic. However, hypertension was more prevalent among males (systolic blood pressure, 76.9%; diastolic blood pressure, 38.5%) than among females (systolic blood pressure, 73%; diastolic blood pressure, 37.8%). In conclusion, the prevalence of hyperuricaemia and other cardiometabolic risks was high among type 2 diabetes patients.  Full article
    References
    [1]
    Buse JB, Ginsberg HN, Bakris GL, Clark NG, Costa F, Eckel R et al. Primary prevention of cardiovascular diseases in people with diabetes mellitus: a scientific statement from the American Heart Association and the American Diabetes Association. Diabetes Care 2007; 30:162-172
    [2]
    Colhoun HM, Betteridge DJ, Durrington PN, Hitman GA, Neil HA, Livingstone SJ et al. Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the Collaborative Atorvastatin Diabetes Study (CARDS): multicentre randomised placebo-controlled trial. Lancet 2004; 364:685-696
    [3]
    Adinortey MB, Gyan BE, Adjimani J, Nyarko P, Sarpong C, Tsikata FY et al. Dyslipidaemia associated with type 2 diabetics with micro and macrovascular complications among Ghanaians. Ind J Clin Biochem. 2011; 26(3):261-268
    [4]
    Danquah I, Bedu-Addo G, Terpe K, Micah F, Amoako YA, Awuku YA et al. Diabetes mellitus type 2 in urban Ghana: characteristics and associated factors. BMC Public Health 2012; 12:210-217
    [5]
    Gibbons GF. Hyperlipidaemia of diabetes. Clin Sci. 1988;71:477-486
    [6]
    Haffner SM. Lipoprotein disorders associated with type 2 diabetes mellitus and insulin resistance. Am J Cardiol. 2002; 90(8A):55i-61i
    [7]
    Mathura KC, Vaidya B, Gurbacharya DL. Study of serum lipid profile in type 2 diabetic patients attending KMCTH. Nepal Med Coll J. 2005; 7(2):97-100
    [8]
    Lemieux I, Lamarche B, Couillard C, Pascot A, Cantin B, Bergeron J et al. Total cholesterol/HDL-cholesterol ratio versus LDL cholesterol/HDL cholesterol ratio as indices of ischaemic heart disease risk in men. The Quebec cardiovascular study. Arch Intern Med. 2001; 161: 2685-2692
    [9]
    Ryu KA, Kang HH, Kim SY, Yoo MK, Kim JS, Lee CH, Wie GA. Comparison of nutrient intake and diet quality between hyperuricemia subjects and controls in Korea. Clin Nutr Res. 2014; 3:56-63
    [10]
    Kim ES, Kwon HS, Ahn CW, Lim DJ, Shin JA, Lee SH et al. Serum uric acid level is associated with metabolic syndrome and microalbuminuria in Korean patients with type 2 diabetes mellitus. Journal of Diabetes and Its Complications 2011; 25(5):309-313
    [11]
    Chien K, Chen M, Hsu H, Chang W, Su T, Lee Y, Hu FB. Plasma uric acid and the risk of type 2 diabetes in a Chinese community. Clin Chem. 2008; 54(2):310-316
    [12]
    Mourad J. The evolution of systolic blood pressure as a strong predictor of cardiovascular risk and the effectiveness of fixed-dose ARB/CCB combinations in lowering levels of this preferential target. Vascular Health and Risk Management 2008; 4(6):1315-1325
    [13]
    Benetos A, Zureik M, Morcet J, Thomas F, Bean K, Safar M et al. Decrease in diastolic blood pressure combined with an increase in systolic blood pressure is associated with a higher cardiovascular mortality in men. J Am Coll Cardiol. 2000; 35:673?680
    [14]
    Bays, HE, Chapman, RH, Grandy, S. The relationship of body mass index to diabetes mellitus, hypertension and dyslipidemia: comparison of data from two national surveys. Int J Clin Pract. 2007; 61 (5):737-747
    [15]
    Pasco JA, Nicholson GC, Brennan SLQ, Kotowic MA. Prevalence of obesity and the relationship between the body mass index and body fat: Cross-sectional, population-based data. PLoS ONE 2012; 7(1):e29580
    [16]
    Haffner SM, Stern MP, Hazuda HP, Pugh J, Patterson JK. Do upper body and centralized adiposity measure different aspects of regional body-fat distribution? Relationship to non-insulin-dependent diabetes mellitus, lipids, and lipoproteins. Diabetes 1987; 36:43-51
    [17]
    Hou X, Lu J, Weng J, Ji L, Shan Z, Liu J. et al. Impact of waist circumference and body mass index on risk of cardiometabolic disorder and cardiovascular disease in Chinese adults: A national diabetes and metabolic disorders survey. PLoS ONE 2013; 8(3): e57319
    [18]
    Adamu MS, Owiredu WKBA, Plange-Rhule J. Metabolic syndrome in relation to body mass index and waist to hip ratio; a study in Kumasi Metropolis. J Obes Weight Loss Ther. 2014;4(1):211-219
    [19]
    Amoah AG, Owusu SK, Adjei S. Diabetes in Ghana: a community based prevalence study in Greater Accra. Diabetes Res Clin Pract. 2002;56:197-205
    [20]
    Amoah AG. Sociodemographic variations in obesity among Ghanaian adults. Public Health Nutr. 2003;6:751-757
    [21]
    Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low density lipoprotein cholesterol in plasma, without use of the preparative ultra-centrifuge. Clin Chem. 1972;18:499-502
    [22]
    Shankar Prasad DS, Shruti P, Manjula R, Mamatha BV. Study of serum uric acid levels in type 2 diabetes mellitus without complications. Medica Innovatica 2013;2:72-76
    [23]
    World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications. Report of a WHO consultation. Part 1: Diagnosis and classification of diabetes mellitus. 1999 []
    [24]
    Adam IK, Sheye FA, Magami SM, Yusuf MB. Uric acid profile in apparently healthy people and diabetics. European Journal of Chemistry 2012;3(1):10?12
    [25]
    National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002;106(25):3143-3421
    [26]
    American Diabetes Association. Standards of medical care in diabetes. Diabetes Care 2014; 37(1):S14-S80
    [27]
    Jha N. A comparative study of coronary and contributory risk factors in rural and urban type 2 diabetics. Kathmandu Univ Med J. 2004;2(1):28-34
    [28]
    Kamath A, Shivaprakash G, Adhikari P. Body mass index and waist circumference in type 2 diabetes mellitus patients attending a diabetes clinic. Int J Biol Med Res. 2011;2(3):636-638
    [29]
    Awa WL, Fach E, Krakow D, Welp R, Kunder J, Voll A et al. Type 2 diabetes from pediatric to geriatric age: analysis of gender and obesity among 120 183 patients from the German/Austrian DPV database. European Journal of Endocrinology 2012;167:245?254
    [30]
    Gautier A, Roussel R, Ducluzeau PH, Lange C, Vol S, Balkau B et al. Increases in waist circumference and weight as predictors of type 2 diabetes in individuals with impaired fasting glucose: influence of baseline BMI data from the DESIR study. Diabetes Care 2010;33:1850?1852
    [31]
    Meigs JB, Wilson PW, Nathan DM, D?Agostino RB Sr, Williams K, Haffner SM. Prevalence and characteristics of the metabolic syndrome in the San Antonio Heart and Framingham Offspring Studies. Diabetes 2003;52:2160-2167
    [32]
    Hu J, Wallace DC, Jones E, Liu H. Cardiometabolic health of Chinese older adults with diabetes living in Beijing, China. Public Health Nursing 2009;26 (6):500-511
    [33]
    Ogbera AO. Prevalence and gender distribution of the metabolic syndrome. Diabetology & Metabolic Syndrome 2010;2:1-5
    [34]
    Al-mukhtar SB, Fadhil NN, Hanna BE. Serum lipid profile in subjects with type 2 diabetes mellitus and hypertension in relation to metabolic syndrome: a case control study. Duhok Med J. 2012;6(2):29-44
    [35]
    Wang J, Staessen JA, Franklin SS, Fagard R, Gueyffier F. Systolic and diastolic blood pressure lowering as determinants of cardiovascular outcome. Hypertension 2005;45:907-913
    [36]
    Codario RA. Risk reduction in diabetic patient. In: Skolink NS, editor. Type 2 Diabetes, Pre-diabetes, and the Metabolic Syndrome. 2nd ed. Humana Press, Springer. New York; 2011. p. 297
    [37]
    Isezuo SA, Ezunu E. Demographic and clinical correlates of metabolic syndrome in native African type-2 diabetic patients. J Natl Med Assoc. 2005;97:557-563
    [38]
    Wang J, Chen R, Lei L, Song Q, Zhang R, Li Y et al. Prevalence and determinants of hyperuricemia in type 2 diabetes mellitus patients with central obesity in Guangdong Province in China. Asia Pac J Clin Nutr. 2013;22(4):590- 598
    [39]
    Pathak, R, Pathak A. Study of lifestyle habits on risk of type 2 diabetics. Int. J App Basic Med Res. 2012;2: 92-96
    [40]
    Ogbera AO, Fasanmade OA, Chinenye S, Akinlade A. Characterization of lipid parameters in diabetes mellitus - a Nigerian report. International Archives of Medicine 2009;2:19-25
    [41]
    Huxley R, Barzi F, Woodward M. Excess risk of fatal coronary heart disease associated with diabetes in men and women: meta-analysis of 37 prospective cohort studies. BMJ 2006;332(7533):73-78
    [42]
    Juutilainen A, Kortelainen S, Lehto S, Ronnemaa T, Pyorala K, Laakso M. Gender difference in the impact of type 2 diabetes on coronary heart disease risk. Diabetes Care 2004; 27:2898-2904
    [43]
    Canoy D, Cairns BJ, Balkwill A, Wright FL, Green J, Reeves G, Beral V. Body mass index and incident coronary heart disease in women: a population-based prospective study. BMC Medicine 2013;11:87-96
    [44]
    Hernandez-Ono A, Monter-Carreola G, Zanora-Gonzalez J, Cardoso-Saldana G, Posadas-Sanchez R, Torres-Tamayo M, Posadas-Romero C. Association of visceral fat with coronary risk factors in a population-based sample of postmenopausal women. Int J Obes Relat Metab Disord. 2002;26(1):33-39
Filter options
Publication Date
From to
Refine Publication Date
Subject Areas
Refine Subjects
Article Types
Refine Article Types
Countries / Territories
Refine Countries / Territories