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Dimple Kondal, Ph.D.

Concepts

This page shows the publications Dimple Kondal has written about Adult.
Connection Strength

0.160
  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: 0.011
  2. Diagnostic Accuracy of a Two-Stage Sequential Screening Strategy Implemented by Community Health Workers (CHWs) to Identify Individuals with COPD in Rural India. Int J Chron Obstruct Pulmon Dis. 2021; 16:1183-1192.
    View in: PubMed
    Score: 0.005
  3. Incidence and pathophysiology of diabetes in South Asian adults living in India and Pakistan compared with US blacks and whites. BMJ Open Diabetes Res Care. 2021 03; 9(1).
    View in: PubMed
    Score: 0.005
  4. Incidence of diabetes in South Asian young adults compared to Pima Indians. BMJ Open Diabetes Res Care. 2021 03; 9(1).
    View in: PubMed
    Score: 0.005
  5. Prenatal Maternal Docosahexaenoic Acid (DHA) Supplementation and Newborn Anthropometry in India: Findings from DHANI. Nutrients. 2021 Feb 25; 13(3).
    View in: PubMed
    Score: 0.005
  6. Effect of Maternal Docosahexaenoic Acid (DHA) Supplementation on Offspring Neurodevelopment at 12 Months in India: A Randomized Controlled Trial. Nutrients. 2020 Oct 03; 12(10).
    View in: PubMed
    Score: 0.005
  7. 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: 0.005
  8. 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: 0.005
  9. Yoga-Based Cardiac Rehabilitation After Acute Myocardial Infarction: A Randomized Trial. J Am Coll Cardiol. 2020 04 07; 75(13):1551-1561.
    View in: PubMed
    Score: 0.005
  10. Potassium Intake in India: Opportunity for Mitigating Risks of High-Sodium Diets. Am J Prev Med. 2020 02; 58(2):302-312.
    View in: PubMed
    Score: 0.005
  11. Effect of workplace physical activity interventions on the cardio-metabolic health of working adults: systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2019 12 19; 16(1):134.
    View in: PubMed
    Score: 0.005
  12. Association between socioeconomic position and cardiovascular disease risk factors in rural north India: The Solan Surveillance Study. PLoS One. 2019; 14(7):e0217834.
    View in: PubMed
    Score: 0.005
  13. Association of trans fatty acids with lipids and other cardiovascular risk factors in an Indian industrial population. BMC Res Notes. 2019 Jun 17; 12(1):342.
    View in: PubMed
    Score: 0.005
  14. Impact of repeated blood pressure measurement on blood pressure categorization in a population-based study from India. J Hum Hypertens. 2019 08; 33(8):594-601.
    View in: PubMed
    Score: 0.005
  15. 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: 0.004
  16. Multimorbidity in South Asian adults: prevalence, risk factors and mortality. J Public Health (Oxf). 2019 03 01; 41(1):80-89.
    View in: PubMed
    Score: 0.004
  17. Effectiveness and cost-effectiveness of a Yoga-based Cardiac Rehabilitation (Yoga-CaRe) program following acute myocardial infarction: Study rationale and design of a multi-center randomized controlled trial. Int J Cardiol. 2019 04 01; 280:14-18.
    View in: PubMed
    Score: 0.004
  18. Acceptability of a decision-support electronic health record system and its impact on diabetes care goals in South Asia: a mixed-methods evaluation of the CARRS trial. Diabet Med. 2018 12; 35(12):1644-1654.
    View in: PubMed
    Score: 0.004
  19. The impact of DocosaHexaenoic Acid supplementation during pregnancy and lactation on Neurodevelopment of the offspring in India (DHANI): trial protocol. BMC Pediatr. 2018 08 04; 18(1):261.
    View in: PubMed
    Score: 0.004
  20. 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: 0.004
  21. Chronic disease concordance within Indian households: A cross-sectional study. PLoS Med. 2017 Sep; 14(9):e1002395.
    View in: PubMed
    Score: 0.004
  22. 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: 0.004
  23. 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: 0.004
  24. Prevalence and incidence of hypertension: Results from a representative cohort of over 16,000 adults in three cities of South Asia. Indian Heart J. 2017 Jul - Aug; 69(4):434-441.
    View in: PubMed
    Score: 0.004
  25. 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: 0.004
  26. 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: 0.004
  27. A Multiethnic Study of Pre-Diabetes and Diabetes in LMIC. Glob Heart. 2016 Mar; 11(1):61-70.
    View in: PubMed
    Score: 0.004
  28. Is the "South Asian Phenotype" Unique to South Asians?: Comparing Cardiometabolic Risk Factors in the CARRS and NHANES Studies. Glob Heart. 2016 Mar; 11(1):89-96.e3.
    View in: PubMed
    Score: 0.004
  29. 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: 0.003
  30. Prevalence of chronic kidney disease in two major Indian cities and projections for associated cardiovascular disease. Kidney Int. 2015 Jul; 88(1):178-85.
    View in: PubMed
    Score: 0.003
  31. The occurrence of venous thromboembolism in cancer patients following major surgery. Thromb Res. 2013 Jan; 131(1):e1-5.
    View in: PubMed
    Score: 0.003
  32. 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: 0.003
  33. Men had a higher risk of recurrent venous thromboembolism than women: a large population study. Gend Med. 2012 Feb; 9(1):33-43.
    View in: PubMed
    Score: 0.003
  34. 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: 0.002
  35. Younger age of escalation of cardiovascular risk factors in Asian Indian subjects. BMC Cardiovasc Disord. 2009 Jul 05; 9:28.
    View in: PubMed
    Score: 0.002
  36. Impact of obesity on the left ventricular functions and morphology of healthy Asian Indians. Metab Syndr Relat Disord. 2009 Apr; 7(2):151-8.
    View in: PubMed
    Score: 0.002
  37. A case-control study on insulin resistance, metabolic co-variates & prediction score in non-alcoholic fatty liver disease. Indian J Med Res. 2009 Mar; 129(3):285-92.
    View in: PubMed
    Score: 0.002
  38. 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: 0.002
  39. 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: 0.002
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.