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Dimple Kondal, Ph.D.

Concepts

This page shows the publications Dimple Kondal has written about Cross-Sectional Studies.
Connection Strength

0.240
  1. Appropriate values of adiposity and lean body mass indices to detect cardiovascular risk factors in Asian Indians. Diabetes Technol Ther. 2011 Sep; 13(9):899-906.
    View in: PubMed
    Score: 0.030
  2. Exposure to Particulate Matter Is Associated With Elevated Blood Pressure and Incident Hypertension in Urban India. Hypertension. 2020 10; 76(4):1289-1298.
    View in: PubMed
    Score: 0.014
  3. Change in prevalence of Coronary Heart Disease and its risk between 1991-94 to 2010-12 among rural and urban population of National Capital Region, Delhi. Indian Heart J. 2020 Sep - Oct; 72(5):403-409.
    View in: PubMed
    Score: 0.014
  4. Isolated HbA1c identifies a different subgroup of individuals with type 2 diabetes compared to fasting or post-challenge glucose in Asian Indians: The CARRS and MASALA studies. Diabetes Res Clin Pract. 2019 Jul; 153:93-102.
    View in: PubMed
    Score: 0.013
  5. Microeconomic Costs, Insurance, and Catastrophic Health Spending Among Patients With Acute Myocardial Infarction in India: Substudy of a Randomized Clinical Trial. JAMA Netw Open. 2019 05 03; 2(5):e193831.
    View in: PubMed
    Score: 0.013
  6. Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India: secondary data analysis of three population-based cross-sectional studies. BMJ Open. 2019 03 07; 9(3):e023353.
    View in: PubMed
    Score: 0.013
  7. Health-related quality of life variations by sociodemographic factors and chronic conditions in three metropolitan cities of South Asia: the CARRS study. BMJ Open. 2017 Oct 15; 7(10):e018424.
    View in: PubMed
    Score: 0.011
  8. Chronic disease concordance within Indian households: A cross-sectional study. PLoS Med. 2017 Sep; 14(9):e1002395.
    View in: PubMed
    Score: 0.011
  9. Associations of Sleep Duration and Disturbances With Hypertension in Metropolitan Cities of Delhi, Chennai, and Karachi in South Asia: Cross-Sectional Analysis of the CARRS Study. Sleep. 2017 09 01; 40(9).
    View in: PubMed
    Score: 0.011
  10. Changes in hypertension prevalence, awareness, treatment and control rates over 20 years in National Capital Region of India: results from a repeat cross-sectional study. BMJ Open. 2017 07 12; 7(7):e015639.
    View in: PubMed
    Score: 0.011
  11. 20-Year Trend of CVD Risk Factors: Urban and Rural National Capital Region of India. Glob Heart. 2017 09; 12(3):209-217.
    View in: PubMed
    Score: 0.011
  12. Prevalence of chronic kidney disease and risk factors for its progression: A cross-sectional comparison of Indians living in Indian versus U.S. cities. PLoS One. 2017; 12(3):e0173554.
    View in: PubMed
    Score: 0.011
  13. Task shifting of frontline community health workers for cardiovascular risk reduction: design and rationale of a cluster randomised controlled trial (DISHA study) in India. BMC Public Health. 2016 Mar 15; 16:264.
    View in: PubMed
    Score: 0.010
  14. A Multiethnic Study of Pre-Diabetes and Diabetes in LMIC. Glob Heart. 2016 Mar; 11(1):61-70.
    View in: PubMed
    Score: 0.010
  15. A cross-sectional study of the prevalence and correlates of tobacco use in Chennai, Delhi, and Karachi: data from the CARRS study. BMC Public Health. 2015 May 11; 15:483.
    View in: PubMed
    Score: 0.010
  16. Dietary intakes and familial correlates of overweight/obesity: a four-cities study in India. Ann Nutr Metab. 2013; 62(4):279-90.
    View in: PubMed
    Score: 0.008
  17. Evaluation of existing and candidate measures of obesity for detection of insulin resistance and cardiometabolic risk among Asian Indians: development of two clinically useful models. Diabetes Metab Syndr. 2012 Oct-Dec; 6(4):181-6.
    View in: PubMed
    Score: 0.008
  18. Imbalanced dietary profile, anthropometry, and lipids in urban Asian Indian adolescents and young adults. J Am Coll Nutr. 2010 Apr; 29(2):81-91.
    View in: PubMed
    Score: 0.007
  19. Younger age of escalation of cardiovascular risk factors in Asian Indian subjects. BMC Cardiovasc Disord. 2009 Jul 05; 9:28.
    View in: PubMed
    Score: 0.006
  20. Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules. Clin Endocrinol (Oxf). 2009 May; 70(5):717-24.
    View in: PubMed
    Score: 0.006
  21. Novel phenotypic markers and screening score for the metabolic syndrome in adult Asian Indians. Diabetes Res Clin Pract. 2008 Feb; 79(2):e1-5.
    View in: PubMed
    Score: 0.006
  22. Evaluation of optical coherence tomography and heidelberg retinal tomography parameters in detecting early and moderate glaucoma. Invest Ophthalmol Vis Sci. 2007 Jul; 48(7):3138-45.
    View in: PubMed
    Score: 0.006
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.