Literature DB >> 7629463

Variation in reported prevalences of hypertension in The Netherlands: the impact of methodological variables.

P J van de Mheen1, L Bonneux, L J Gunning-Schepers.   

Abstract

STUDY
OBJECTIVE: To estimate the prevalence of hypertension in The Netherlands and to quantify the influence of methodological variables on the reported prevalences.
DESIGN: A pooled analysis was performed based on reported age specific prevalences of hypertension. A logistic model was used to estimate the probability of hypertension. MAIN
RESULTS: The age standardised prevalence of hypertension varies more than fivefold between studies carried out in The Netherlands. The probability of having hypertension was lower if blood pressure was measured at more than one point in time (Odds ratio 0.44 (OR) (95% confidence interval (95% CI) 0.38, 0.51) for men and 0.47 (0.41, 0.54) for women, and if the study was carried out more recently (OR 0.92 (0.91, 0.93) per year). The probability was higher if the study was carried out in a general practice (OR 1.14 (1.03, 1.27) for men and 1.52 (1.36, 1.69) for women). The inclusion of treated people as hypertensive yields contradictory results for men and women.
CONCLUSIONS: The strong variation in prevalence is explained by methodology and by a period effect indicating a decrease of the prevalence of hypertension over time. Whether this decrease is true or caused by confounding due to unknown or unreported methodological variation over time is unknown. For future studies, a standardised method could reduce the influence of methodological variables and thereby the variation in reported prevalences.

Entities:  

Mesh:

Year:  1995        PMID: 7629463      PMCID: PMC1060797          DOI: 10.1136/jech.49.3.277

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  6 in total

1.  The health benefits of prevention: a simulation approach.

Authors:  L Gunning-Schepers
Journal:  Health Policy       Date:  1989-07       Impact factor: 2.980

Review 2.  High blood pressure in the elderly.

Authors:  M L Bots; D E Grobbee; A Hofman
Journal:  Epidemiol Rev       Date:  1991       Impact factor: 6.222

3.  Strategies of prevention revisited: effects of imprecise measurement of risk factors on the evaluation of "high-risk" and "population-based" approaches to prevention of cardiovascular disease.

Authors:  D Strachan; G Rose
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

4.  Blood pressure measurement and detection of hypertension.

Authors:  T G Pickering
Journal:  Lancet       Date:  1994-07-02       Impact factor: 79.321

5.  Strategy of prevention: lessons from cardiovascular disease.

Authors:  G Rose
Journal:  Br Med J (Clin Res Ed)       Date:  1981-06-06

Review 6.  Epidemiology of hypertension.

Authors:  P K Whelton
Journal:  Lancet       Date:  1994-07-09       Impact factor: 79.321

  6 in total
  6 in total

Review 1.  Differences between studies in reported relative risks associated with smoking: an overview.

Authors:  P J van de Mheen; L J Gunning-Schepers
Journal:  Public Health Rep       Date:  1996 Sep-Oct       Impact factor: 2.792

2.  Variation between studies in reported relative risks associated with hypertension: time trends and other explanatory variables.

Authors:  P J Marang-van de Mheen; L J Gunning-Schepers
Journal:  Am J Public Health       Date:  1998-04       Impact factor: 9.308

3.  Variation in hypertension in The Netherlands.

Authors:  J C Bakx; H J Van Den Hoogen; W J Van Den Bosch; T H Thien
Journal:  J Epidemiol Community Health       Date:  1996-06       Impact factor: 3.710

4.  Increase in hospital admission rates for heart failure in The Netherlands, 1980-1993.

Authors:  J B Reitsma; A Mosterd; A J de Craen; R W Koster; F J van Capelle; D E Grobbee; J G Tijssen
Journal:  Heart       Date:  1996-11       Impact factor: 5.994

5.  Paediatric hypertension in Iraq.

Authors:  Mahmood Dhahir Al-Mendalawi
Journal:  Indian J Med Res       Date:  2016-01       Impact factor: 2.375

6.  Authors' response.

Authors:  Prasanta Kr Borah; Utpala Devi; Dipankar Biswas; Hem Ch Kalita; Meenakshi Sharma; Jagadish Mahanta
Journal:  Indian J Med Res       Date:  2016-01       Impact factor: 2.375

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.