This paper is in the following e-collection/theme issue:

Surveillance Reports (139) Descriptive Epidemiology and Population Size Estimates (109) Innovative Methods in Public Health and Surveillance (336) Chronic Conditions (278) Health Care Quality and Health Services Research (275) Public Health Informatics (93) Public Health Policy (62) Statistical Methods for Surveillance and Population Health (158)

Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29693, first published .
Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study

Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study

Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study

Authors of this article:

Xin Shi1, 2 Author Orcid Image ;   Simone Maria da Silva Lima3 Author Orcid Image ;   Caroline Maria de Miranda Mota3 Author Orcid Image ;   Ying Lu4 Author Orcid Image ;   Randall S Stafford5 Author Orcid Image ;   Corintho Viana Pereira6 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Egan L, Gardner L, Newton N, Champion K. eHealth Interventions Targeting Poor Diet, Alcohol Use, Tobacco Smoking, and Vaping Among Disadvantaged Youth: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(5):e35408 View
  2. Chowdhury S, Chandra Das D, Sunna T, Beyene J, Hossain A. Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis. eClinicalMedicine 2023;57:101860 View
  3. Souza A, Mota C, Rosa A, Figueiredo C, Candeias A, Cavallaro F. A spatial-temporal analysis at the early stages of the COVID-19 pandemic and its determinants: The case of Recife neighborhoods, Brazil. PLOS ONE 2022;17(5):e0268538 View
  4. Zhang Y, Chen C, Huang L, Liu G, Lian T, Yin M, Zhao Z, Xu J, Chen R, Fu Y, Liang D, Zeng J, Ni J. Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records. JMIR Public Health and Surveillance 2022;8(11):e38182 View
  5. Chen Y, Pan M, He Y, Dong X, Hu Z, Hou J, Bao Y, Yang J, Yuchi Y, Li R, Zhu L, Kang N, Liao W, Li S, Wang C, Zhang L. Disease Burden and the Accumulation of Multimorbidity of Noncommunicable Diseases in a Rural Population in Henan, China: Cross-sectional Study. JMIR Public Health and Surveillance 2023;9:e43381 View
  6. Li X, Huang H, Lu Y, Stafford R, Lima S, Mota C, Shi X. Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study. JMIR Public Health and Surveillance 2023;9:e44647 View
  7. Pereira C, Pedroso C, Batista S, Guimarães R. Prevalence and factors associated with multimorbidity in adults in Brazil, according to sex: a population-based cross-sectional survey. Frontiers in Public Health 2023;11 View
  8. Pereira A, Trombini R, Barbalho Y, Stival M, Lima L, Zandonadi R, Ginani V, Dusi R, Funghetto S. Strategies for Effective Communication in Hypertension Management: Validation of Messages from a Mobile Application to Assist Hypertensive Older Adults in Adherence to Treatment, Nutrition and Physical Activity. Nutrients 2024;16(24):4284 View