Literature DB >> 25576179

Use of Regional Data to Validate and Recalibrate Self-reported Hypertension: Highlighting Differences in Immigrant Groups in New York City.

Stella S Yi1,2, Michael Johns3, Sungwoo Lim4.   

Abstract

Self-reported hypertension has not been validated in specific Hispanic subgroups (Puerto Ricans, Dominicans) and in Asian Americans. The objectives were to assess validity of self-reported hypertension in Hispanic and Asian American adults, and to recalibrate self-reported hypertension with measured values. Data were from the New York City Community Health Survey 2005-2008 and the Heart Follow-Up Study (HFUS) 2010 (included measured hypertension). Sensitivity and specificity were calculated in the HFUS data; recalibration was conducted using a previously described method by Mentz et al. Sensitivity was similar in Puerto Ricans and Dominicans versus whites. The differences in hypertension prevalence after recalibration were largest in Hispanics. No substantial differences occurred among Asian Americans. Factors such as low health literacy or insurance status are potential explanations for bias in self-reported hypertension among Hispanic subgroups. Surveillance systems may consider recalibration, potentially in areas with a high percentage of Hispanics or uninsured.

Entities:  

Keywords:  Hypertension; Immigrant populations; Surveillance; Validation

Mesh:

Year:  2016        PMID: 25576179      PMCID: PMC4499017          DOI: 10.1007/s10903-015-0156-6

Source DB:  PubMed          Journal:  J Immigr Minor Health        ISSN: 1557-1912


  10 in total

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Authors:  C M Vargas; V L Burt; R F Gillum; E R Pamuk
Journal:  Prev Med       Date:  1997 Sep-Oct       Impact factor: 4.018

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Authors:  Charles Hirschman
Journal:  Demography       Date:  2005-11

Review 3.  National surveillance definitions for hypertension prevalence and control among adults.

Authors:  Matthew T Crim; Sung Sug Sarah Yoon; Eduardo Ortiz; Hilary K Wall; Susan Schober; Cathleen Gillespie; Paul Sorlie; Nora Keenan; Darwin Labarthe; Yuling Hong
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-05-01

4.  Sitting time and mortality from all causes, cardiovascular disease, and cancer.

Authors:  Peter T Katzmarzyk; Timothy S Church; Cora L Craig; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2009-05       Impact factor: 5.411

5.  Prevalence of major cardiovascular risk factors and cardiovascular diseases among Hispanic/Latino individuals of diverse backgrounds in the United States.

Authors:  Martha L Daviglus; Gregory A Talavera; M Larissa Avilés-Santa; Matthew Allison; Jianwen Cai; Michael H Criqui; Marc Gellman; Aida L Giachello; Natalia Gouskova; Robert C Kaplan; Lisa LaVange; Frank Penedo; Krista Perreira; Amber Pirzada; Neil Schneiderman; Sylvia Wassertheil-Smoller; Paul D Sorlie; Jeremiah Stamler
Journal:  JAMA       Date:  2012-11-07       Impact factor: 56.272

6.  Validity of cardiovascular disease risk factors assessed by telephone survey: the Behavioral Risk Factor Survey.

Authors:  S J Bowlin; B D Morrill; A N Nafziger; P L Jenkins; C Lewis; T A Pearson
Journal:  J Clin Epidemiol       Date:  1993-06       Impact factor: 6.437

7.  Prevalence, awareness, treatment, and predictors of control of hypertension in New York City.

Authors:  Sonia Y Angell; Renu K Garg; R Charon Gwynn; Lori Bash; Lorna E Thorpe; Thomas R Frieden
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2008-09

8.  Assessing the validity of the Omron HEM-907XL oscillometric blood pressure measurement device in a National Survey environment.

Authors:  Yechiam Ostchega; Tatiana Nwankwo; Paul D Sorlie; Michael Wolz; George Zipf
Journal:  J Clin Hypertens (Greenwich)       Date:  2010-01       Impact factor: 3.738

9.  Sitting behavior and obesity: evidence from the Whitehall II study.

Authors:  Richard M Pulsford; Emmanuel Stamatakis; Annie R Britton; Eric J Brunner; Melvyn M Hillsdon
Journal:  Am J Prev Med       Date:  2013-02       Impact factor: 6.604

10.  Hypertension: development of a prediction model to adjust self-reported hypertension prevalence at the community level.

Authors:  Graciela Mentz; Amy J Schulz; Bhramar Mukherjee; Trivellore E Ragunathan; Denise White Perkins; Barbara A Israel
Journal:  BMC Health Serv Res       Date:  2012-09-11       Impact factor: 2.655

  10 in total
  5 in total

1.  Determining Chronic Disease Prevalence in Local Populations Using Emergency Department Surveillance.

Authors:  David C Lee; Judith A Long; Stephen P Wall; Brendan G Carr; Samantha N Satchell; R Scott Braithwaite; Brian Elbel
Journal:  Am J Public Health       Date:  2015-07-16       Impact factor: 9.308

2.  Clinical Characteristics and Lifestyle Behaviors in a Population-Based Sample of Chinese and South Asian Immigrants With Hypertension.

Authors:  Stella S Yi; Lorna E Thorpe; Jennifer M Zanowiak; Chau Trinh-Shevrin; Nadia S Islam
Journal:  Am J Hypertens       Date:  2016-02-17       Impact factor: 2.689

3.  Can Electronic Health Records Be Used for Population Health Surveillance? Validating Population Health Metrics Against Established Survey Data.

Authors:  Katharine H McVeigh; Remle Newton-Dame; Pui Ying Chan; Lorna E Thorpe; Lauren Schreibstein; Kathleen S Tatem; Claudia Chernov; Elizabeth Lurie-Moroni; Sharon E Perlman
Journal:  EGEMS (Wash DC)       Date:  2016-12-15

4.  Low potassium and high sodium intakes: a double health threat to Cape Verdeans.

Authors:  Daniela Alves; Zélia Santos; Miguel Amado; Isabel Craveiro; António Pedro Delgado; Artur Correia; Luzia Gonçalves
Journal:  BMC Public Health       Date:  2018-08-09       Impact factor: 3.295

5.  Using Calibration to Reduce Measurement Error in Prevalence Estimates Based on Electronic Health Records.

Authors:  Pui Ying Chan; Yihong Zhao; Sungwoo Lim; Sharon E Perlman; Katharine H McVeigh
Journal:  Prev Chronic Dis       Date:  2018-12-13       Impact factor: 2.830

  5 in total

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