Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2021
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Incidence of Dyslipidemia Among Nondiabetic Normontensive Indian Population

Authors: Rohit Chhari,; Prashant Puruskar,; CC Chaubal,; Komal;

Incidence of Dyslipidemia Among Nondiabetic Normontensive Indian Population

Abstract

{"references": ["1. Estari M, Reddy AS, Bikshapathi T, Satyanarayana J, Venkanna L, Reddy MK. The investigation of serum lipids and prevalence of dyslipidemia in urban adult population of Warangal district, Andhra Pradesh, India. Biol Med. 2009;1: 61\u201365. 2. Zhu S, Heshka S, Wang ZM, Shen W, Allison DB, Ross R, et al. Combination of BMI and waist circumference for identifying cardiovascular risk factors in whites. Obes Res. 2004;12: 633\u2013645. doi:10.1038 /oby. 2004. 73. 3. Iyengar S, Narasingan S, Gandhi P, Jaipuriar N, MahilmaranA, Patil S, et al. Risk factors, comorbiditiEs and Atherogenic dysLipidaemia in Indian YOUNG patients with dyslipidaemia attending hospital/clinic: REALYOUNG (dyslipidaemia) study. J Fam Med Prim Care. 2020;9: 4156. doi:10.4103/ jfmpc. jfmpc_ 546_20 3. 4. Al-Duais MA, Al-Awthan YS. Prevalence of dyslipidemia among students of a Yemeni University. J Taibah Univ Med Sci. 2019;14: 163\u2013171. doi:10.1016 /j.jtumed.2018.12.003 5. Rubinstein A, Grundy SM. 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: 3143\u20133421. doi:10.1161 /circ.106.25.3143 6. Tabrizi JS, Nikniaz L, Sadeghi-Bazargani H, Farahbakhsh M, Nikniaz Z, Abbasalizad Farhangi M, et al. Prevalence of dyslipidemia in urban and rural areas of the Northwest of Iran: The sociodemographic, dietary and psychological determinants. Iran J Public Health. 2019;48: 925\u2013933. doi:10.18502/ijph. v48i5.1810 7. Wildman RP, Gu D, Reynolds K, Duan X, He J. Appropriate body mass index and waist circumference cutoffs for categorization of overweight and central adiposity among Chinese adults. Am J Clin Nutr. 2004;80: 1129\u20131136. doi:10.1093/ajcn/80.5.1129 8. Pan WH, Flegal KM, Chang HY, Yeh WT, Yeh CJ, Lee WC. Body mass index and obesity-related metabolic disorders in Taiwanese and US whites and blacks: Implications for definitions of overweight and obesity for Asians. Am J Clin Nutr. 2004;79: 31\u201339. doi:10.1093/ajcn/79.1.31 9. Liu J, Hong Y, D'Agostino RB, Wu Z, Wang W, Sun J, et al. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-provincial Cohort Study. J Am Med Assoc. 2004;291: 2591\u20132599. doi:10.1001/jama. 291.21.2591 10. Chang CJ, Wu CH, Chang CS, Yao WJ, Yang YC, Wu JS, et al. Low body mass index but high percent body fat in Taiwanese subjects: Implications of obesity cutoffs. Int J Obes. 2003;27: 253\u2013259. doi:10.1038/sj.ijo. 802197 11. Aoyagi K, Kusano Y, Takamura N,Abe Y, Osaki M, Une H. Obesity and cardiovascular risk factors among men and women aged 40 years and older in a rural area of Japan. J Physiol Anthropol. 2006;25: 371\u2013375. doi:10.2114/jpa2.25.371 12. Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. J Am Med Assoc. 2002;288: 2709\u20132716. doi:10.1001/jama.288.21.2709 13. Limbu YR, Rai SK, Ono K, Kurokawa M, Yanagida JI, Rai G, et al. Lipid profile of adult Nepalese population. Nepal Med Coll J. 2008;10: 4\u20137. 14. Khader YS, Batieha A, El-Khateeb M, Al Omari M,", "Ajlouni K. Prevalence of dyslipidemia and its associated factors among Jordanian adults. J Clin Lipidol. 2010;4: 53\u201358. doi:10.1016/j.jacl. 2009.12.004 15. Bansal M, Shrivastava S, Mehrotra R, Agrawal V, Kasliwal RR. Time-trends in prevalence and awareness of cardiovascular risk factors in an asymptomatic North Indian urban population. J Assoc Physicians India. 2009;57: 568\u2013573. Available: http://www.japi.org/ august_2009/article_03.pdf%5Cnhttp://ovidsp.ovid.co m/ovidweb.cgi?T=JS&PAGE=reference&D=emed9& NEWS=N&AN=20209717 16. Mahalle N, Garg M, Naik S, Kulkarni M. Study of pattern of dyslipidemia and its correlation with cardiovascular risk factors in patients with proven coronary artery disease. Indian J Endocrinol Metab. 2014;18: 48\u201355. doi:10.4103/2230-8210.126532 17. Wankhade PS, Pedhambkar RB, Pagare RS, Pedhambkar BS. Prevalence and risk factors of dyslipidemia among male industrial workers in India. Int J Community Med Public Heal. 2018;5: 1458. doi:10.18203/2394-6040.ijcmph20181217 18. Qi L, Ding X, Tang W, Li Q, Mao D, Wang Y. Prevalence and risk factors associated with dyslipidemia in Chongqing, China. Int J Environ Res Public Health. 2015;12: 13455\u201313465. doi:10.3390/ijerph121013455 19. Lee MH, Kim HC,Ahn SV, Hur NW, Choi DP, Park CG, et al. Prevalence of dyslipidemia among Korean adults: Korea national health and nutrition survey 1998-2005. Diabetes Metab J. 2012;36: 43\u201355. doi:10.4093/ dmj.2012.36.1.43 20. Aekplakorn W, Taneepanichskul S, Kessomboon P, Chongsuvivatwong V, Putwatana P, Sritara P, et al. Prevalence of Dyslipidemia and Management in the Thai Population, National Health Examination Survey IV, 2009. J Lipids. 2014;2014: 1\u201313. doi:10.1155/2014/ 249584 21. F. Al-Kaabba A, A. Al-Hamdan N, El Tahir A, M. Abdalla A, A. Saeed A, A. Hamza M. Prevalence and Correlates of Dyslipidemia among Adults in Saudi Arabia: Results from a National Survey. Open J Endocr Metab Dis. 2012;02: 89\u201397. doi:10.4236/ojemd. 2012.24014 22. Oguejiofor OC, Onwukwe CH, Odenigbo CU. Dyslipidemia in Nigeria: Prevalence and pattern. Annals of African Medicine. 2012. pp. 197\u2013202. doi:10.4103/1596-3519.102846"]}

Dyslipidemia is now considered as an independent risk factor for cardiac disease worldwide. Lipid abnormalities are major risk factors for premature cardiovascular disease (CVD). There are emerging evidences of premature CVD occurring among Indians, at least 10 years earlier as compared to other ethnic groups. In this context, the present study was designed with aim to determine lipid levels and to compare the lipid levels and prevalence of dyslipidemia in a non-diabetes and non-hypertensive patients in Bhopal District. The participants were in the age group between 18-80 years. Overall prevalence of dyslipidemiawas 26.6% among study subjects 26 %, 25.3%, 18.1% and 51.3% of participants had high serum cholesterol, hightriglycerides, low high density lipoprotein (HDL), high low density lipoprotein (LDL) and high cholesterol/HDL ratiorespectively. The prevalence of dyslipidemia was high among study population (26.6%). Screening programs should be conducted for early detection of dyslipidemia. Information, education and communication programs based on lifestyle modification like healthy diet habits, regular physical activity for weight controland tobacco cessation need to be implemented.

Keywords

dyslipidemia, high density lipoprotein, premature cardiovascular disease

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 4
  • 4
    views
    4
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
4
Green