Literature DB >> 25109737

Calculation error in estimating low HDL in women.

P S Reddy1.   

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Year:  2014        PMID: 25109737      PMCID: PMC4165018     

Source DB:  PubMed          Journal:  Indian J Med Res        ISSN: 0971-5916            Impact factor:   2.375


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Sir, I have recently read the article by Thankappan et al1, with great interest. In my reading I have discovered that the prevalence of low HDL was based upon HDL<40 mg/dl irrespective of the gender and not “< 40 mg/dl for males and <50 mg/dl for females” as stated in the methodology and footnote of the Table III1.
Table

Prevalence of low HDL cholesterol (%) in urban, rural, slum and the total population by sex

Prevalence of low HDL cholesterol (%) in urban, rural, slum and the total population by sex There was another paradox in the data. The data indicated prevalence of diabetes to be more in rural than in urban areas and trended to be more in women than in men. Additionally, it is reported that urban subjects have lower HDL than the rural subjects. These observations are somewhat at variance with the published data23456. It is possible that men and women in Kerala state are different from other subpopulations of India or there is a possible error in analysis of the data. Either way it needs to be verified and reconfirmed or corrected.
  6 in total

1.  Risk factor profile for chronic non-communicable diseases: results of a community-based study in Kerala, India.

Authors:  K R Thankappan; Bela Shah; Prashant Mathur; P S Sarma; G Srinivas; G K Mini; Meena Daivadanam; Biju Soman; Ramachandran S Vasan
Journal:  Indian J Med Res       Date:  2010-01       Impact factor: 2.375

2.  Rural-urban epidemiologic transition of risk factors for coronary artery disease in college students of Hyderabad and nearby rural area--a pilot study.

Authors:  Aparna Varma Bhongir; Sugandhi Nemani; P Sudhakar Reddy
Journal:  J Assoc Physicians India       Date:  2011-04

3.  Cardiovascular risk factors in the normoglycaemic Asian-Indian population--influence of urbanisation.

Authors:  C Snehalatha; A Ramachandran
Journal:  Diabetologia       Date:  2009-02-10       Impact factor: 10.122

4.  Type 2 diabetes in southern Kerala: variation in prevalence among geographic divisions within a region.

Authors:  V R Kutty; C R Soman; A Joseph; R Pisharody; K Vijayakumar
Journal:  Natl Med J India       Date:  2000 Nov-Dec       Impact factor: 0.537

5.  The burden of diabetes and impaired fasting glucose in India using the ADA 1997 criteria: prevalence of diabetes in India study (PODIS).

Authors:  S M Sadikot; A Nigam; S Das; S Bajaj; A H Zargar; K M Prasannakumar; A Sosale; C Munichoodappa; V Seshiah; S K Singh; A Jamal; K Sai; Y Sadasivrao; S S Murthy; D K Hazra; S Jain; S Mukherjee; S Bandyopadhay; N K Sinha; R Mishra; M Dora; B Jena; P Patra; K Goenka
Journal:  Diabetes Res Clin Pract       Date:  2004-12       Impact factor: 5.602

6.  High prevalence of diabetes and cardiovascular risk factors associated with urbanization in India.

Authors:  Ambady Ramachandran; Simon Mary; Annasami Yamuna; Narayanasamy Murugesan; Chamukuttan Snehalatha
Journal:  Diabetes Care       Date:  2008-02-29       Impact factor: 19.112

  6 in total

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