Mortality trends among Brazilian women in the climacteric

Authors

  • Ana Carolina Basso Schmitt Universidade São Judas Tadeu
  • Maria Regina Alves Cardoso Universidade de São Paulo; Faculdade de Saúde Pública; Departamento de Epidemiologia
  • José Mendes Aldrighi Universidade de São Paulo; Faculdade de Saúde Pública; Departamento Saúde Materno-Infantil

DOI:

https://doi.org/10.7322/jhgd.19861

Keywords:

Mortality, women's health, epidemiology

Abstract

There are few studies on women's mortality during climacteric, especially in Brazil. The objective of this study was to analyze the mortality trend among women between 35 and 64 years old in Brazil in the last years. Mortality data were collected in the Mortality Information System of Datasus, Ministry of Health, for the period 1979 to 2004. For the analysis, age- and cause-specific mortality rates were calculated for the ten more frequent chapters of the International Classification of Diseases as cause of death per decade of climacteric age group in the regions of Brazil. In Brazil, three chapters of the International Classification of Diseases predominated: cardiovascular diseases, malignant neoplasms, and ill-defined causes. The Southeast, South and Central West regions followed the same pattern of the country with regard to the position of the first three causes of death; however, cardiovascular diseases and ill-defined causes decreased while neoplasms increased. In the North region, although the same causes presented similar rates, cardiovascular diseases prevailed in most of the study period, but ill-defined causes were more frequent than neoplasms. In the Northeast, the main causes were the ill-defined ones, although they declined from 1979 to 2004. Cardiovascular diseases and neoplasms were in the second and third positions, respectively, and increased in the study period.

References

WHO. Statistical Information System. WHOSIS. Core Health Indicators from the latest World Health Report. Geneva; 2006. [acesso em 21 abril 2006]. Disponível em: http://www3.who.int/whosis/core/core_select.htm.

Notelovitz M. Climateric medicine and science: a societal need. In: Notelovitz M. The Climateric in Perspective. Lancaster: M.T.P. Press; 1984. p. 19-21.

Aldrighi JM, Calvoso Junior R, Faludi AA, Mansur AP. Climatério e menopausa. In: Aldrighi JM. Doença Cardiovascular no Climatério. São Paulo: Atheneu, 2005. p. 23-30.

Aldrighi JM, Aldrighi CMS, Aldrighi APS. Alterações sistêmicas no climatério. Rev Bras Med 2002; 59:15-21.

Hjartaker A, Adami HO, Lund E, Weiderpass EBody mass index and mortality in a prospectively studied cohort of Scandinavian women: the women’s lifestyle and health cohort study. Eur J Epidemiol. 2005;20(9):747-54.

Mondul AM, Rodriguez C, Jacobs EJ, Calle EEAge at natural menopause and cause-specific mortality. AM J Epidemiol. 2005; 162(11):1089-97.

Ossewaarde ME, Bots MI, Verbeek AL, Peeters PH, van der Graaf Y, Grobbee DE et al. Age at menopause, cause-specific mortality and total life expectancy. Epidemiology 2006; 16(4):556-62.

Datasus. Informações de Saúde. Demográficas e socioeconomicas. Brasil; 2006. [acesso em 21 abril 2006]. Disponível em: http://www.datasus.gov.br/.

OMS. Organização Mundial de Saúde – Manual da Classificação Internacional de Doenças, Lesões e Causas de Óbitos. 9ª Revisão. 1975. São Paulo: Centro da OMS para Classificação das Doenças em Português, 1978.

OMS. Organização Mundial de Saúde – Classificação Estatística Internacional de Doenças e Problemas relacionados à saúde: Classificação Internacional de Doenças-10. São Paulo: EDUSP, 1995.

Datasus. Informações de Saúde. Estatísticas vitais, mortalidade e nascidos vivos. Brasil; 2006.[acesso em 21 abril 2006]. Disponível em: http://www.datasus.gov.br/.

IBGE. Censo Demográfico. Brasil; 2008. [acesso em 21 fev 2008]. Disponível em: http://www.ibge.gov.br/.

Janssen F, Kunst N. ICD coding change and discontinuities in trends in cause-specific mortality in six European countries, 1950-99. Bullof World Health Organ 2005; 82(12):904-913.

Anserson RN, Minino AM, Hoyert DL, Rosenberg HM. Comparability of cause of de at between ICD 9 and ICD 10: preliminary estimates. Natl Vital Stat Rep. 2001; 49:1-32.

Prata PR. A transição epidemiológica no Brasil. Cad Saude Publ 1992; 8(2):168-175.

Sonnenschein E, Brody JA. Effect of population aging on proportionate mortality from heart disease and cancer. J Gerontol B Psychol Sci Soc Sci. 2005; 60(2):S110-112.

Kopp MS, Skrabski A, Kawachi I, Adler NE. Low socioeconomic status of the opposite sex is a risk factor for middle aged mortality. J Epidemiol Community Health. 2005; 59:675-678.

Published

2008-04-01

Issue

Section

Original Research