Harvard Catalyst Profiles

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Dimple Kondal, Ph.D.

Concepts

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

1.487
  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: 0.075
  2. Human touch vs. axillary digital thermometry for detection of neonatal hypothermia at community level. J Trop Pediatr. 2008 Jun; 54(3):200-1.
    View in: PubMed
    Score: 0.058
  3. Positive deviance determinants in young infants in rural Uttar Pradesh. Indian J Pediatr. 2007 Jun; 74(6):594-5.
    View in: PubMed
    Score: 0.056
  4. Patient experiences and perceptions of chronic disease care during the COVID-19 pandemic in India: a qualitative study. BMJ Open. 2021 06 18; 11(6):e048926.
    View in: PubMed
    Score: 0.037
  5. 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: 0.037
  6. Health, psychosocial, and economic impacts of the COVID-19 pandemic on people with chronic conditions in India: a mixed methods study. BMC Public Health. 2021 04 08; 21(1):685.
    View in: PubMed
    Score: 0.037
  7. 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: 0.036
  8. 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: 0.036
  9. Prenatal Maternal Docosahexaenoic Acid (DHA) Supplementation and Newborn Anthropometry in India: Findings from DHANI. Nutrients. 2021 Feb 25; 13(3).
    View in: PubMed
    Score: 0.036
  10. Effect of a quality improvement intervention for acute heart failure in South India: An interrupted time series study. Int J Cardiol. 2021 04 15; 329:123-129.
    View in: PubMed
    Score: 0.036
  11. 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: 0.035
  12. 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: 0.035
  13. 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: 0.035
  14. 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: 0.034
  15. 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: 0.034
  16. 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: 0.033
  17. 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: 0.032
  18. 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: 0.032
  19. 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: 0.032
  20. 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: 0.032
  21. 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: 0.032
  22. 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: 0.032
  23. Implementation and acceptability of a heart attack quality improvement intervention in India: a mixed methods analysis of the ACS QUIK trial. Implement Sci. 2019 02 06; 14(1):12.
    View in: PubMed
    Score: 0.032
  24. Health-Related Quality of Life at 30 Days Among Indian Patients With Acute Myocardial Infarction. Circ Cardiovasc Qual Outcomes. 2019 02; 12(2):e004980.
    View in: PubMed
    Score: 0.032
  25. 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: 0.031
  26. m-Power Heart Project - a nurse care coordinator led, mHealth enabled intervention to improve the management of hypertension in India: study protocol for a cluster randomized trial. Trials. 2018 Aug 07; 19(1):429.
    View in: PubMed
    Score: 0.031
  27. 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: 0.031
  28. Effect of a Quality Improvement Intervention on Clinical Outcomes in Patients in India With Acute Myocardial Infarction: The ACS QUIK Randomized Clinical Trial. JAMA. 2018 02 13; 319(6):567-578.
    View in: PubMed
    Score: 0.030
  29. 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: 0.029
  30. Chronic disease concordance within Indian households: A cross-sectional study. PLoS Med. 2017 Sep; 14(9):e1002395.
    View in: PubMed
    Score: 0.029
  31. 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: 0.028
  32. 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: 0.028
  33. 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: 0.028
  34. Acute coronary syndrome quality improvement in Kerala (ACS QUIK): Rationale and design for a cluster-randomized stepped-wedge trial. Am Heart J. 2017 03; 185:154-160.
    View in: PubMed
    Score: 0.027
  35. Effectiveness of a Multicomponent Quality Improvement Strategy to Improve Achievement of Diabetes Care Goals: A Randomized, Controlled Trial. Ann Intern Med. 2016 09 20; 165(6):399-408.
    View in: PubMed
    Score: 0.026
  36. 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: 0.026
  37. A Multiethnic Study of Pre-Diabetes and Diabetes in LMIC. Glob Heart. 2016 Mar; 11(1):61-70.
    View in: PubMed
    Score: 0.026
  38. 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: 0.026
  39. 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: 0.024
  40. 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: 0.024
  41. 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: 0.021
  42. 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: 0.020
  43. 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: 0.017
  44. Younger age of escalation of cardiovascular risk factors in Asian Indian subjects. BMC Cardiovasc Disord. 2009 Jul 05; 9:28.
    View in: PubMed
    Score: 0.016
  45. 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: 0.016
  46. 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: 0.016
  47. 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: 0.015
  48. 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: 0.014
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.