Population attributable risk for ovarian cancer

Vito Chiantera, Vito Chiantera, Surace, Benzi, Fabio Parazzini, Chatenoud, La Vecchia

Risultato della ricerca: Article

30 Citazioni (Scopus)

Abstract

Parity, oral contraceptive (OC) use, age at menopause, a family history of the disease and selected aspects of diet have been related to the risk of ovarian cancer. The quantification of their impact on a population level may help focus and rank the importance of potential prevention strategies. Using data from a case-control study conducted in Italy between 1983 and 1991 on 971 ovarian cancer cases and 2758 control women we computed the multivariate relative risk estimates, and population attributable risks (PARs), i.e. the proportion of ovarian cancers that would have been avoided if a given exposure had not been present in the population. Overall, the PARs were 5% for nulliparity, 12% for never OC use and 4% for a family history of breast or ovarian cancer in first-degree relatives. Among women aged >/=50 years, later age at menopause accounted for 16% of all ovarian cancer cases. Low intake of green vegetables accounted for 24% of cases and a high fat score for 7%. All these factors together explained 51% of cases. In conclusion, even if the PAR estimates were based on several arbitrary assumptions, available knowledge could, in principle, explain over 50% of all ovarian cancer cases in this Italian population, thus indicating and quantifying the theoretical scope for prevention.
Lingua originaleEnglish
pagine (da-a)520-524
Numero di pagine5
RivistaEuropean Journal of Cancer
Volume36
Stato di pubblicazionePublished - 2000

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Ovarian Neoplasms
Population
Oral Contraceptives
Menopause
Parity
Vegetables
Italy
Case-Control Studies
Fats
Breast Neoplasms
Diet

All Science Journal Classification (ASJC) codes

  • Cancer Research
  • Oncology
  • Hematology

Cita questo

Chiantera, V., Chiantera, V., Surace, Benzi, Parazzini, F., Chatenoud, & La Vecchia (2000). Population attributable risk for ovarian cancer. European Journal of Cancer, 36, 520-524.

Population attributable risk for ovarian cancer. / Chiantera, Vito; Chiantera, Vito; Surace; Benzi; Parazzini, Fabio; Chatenoud; La Vecchia.

In: European Journal of Cancer, Vol. 36, 2000, pag. 520-524.

Risultato della ricerca: Article

Chiantera, V, Chiantera, V, Surace, Benzi, Parazzini, F, Chatenoud & La Vecchia 2000, 'Population attributable risk for ovarian cancer', European Journal of Cancer, vol. 36, pagg. 520-524.
Chiantera V, Chiantera V, Surace, Benzi, Parazzini F, Chatenoud e altri. Population attributable risk for ovarian cancer. European Journal of Cancer. 2000;36:520-524.
Chiantera, Vito ; Chiantera, Vito ; Surace ; Benzi ; Parazzini, Fabio ; Chatenoud ; La Vecchia. / Population attributable risk for ovarian cancer. In: European Journal of Cancer. 2000 ; Vol. 36. pagg. 520-524.
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abstract = "Parity, oral contraceptive (OC) use, age at menopause, a family history of the disease and selected aspects of diet have been related to the risk of ovarian cancer. The quantification of their impact on a population level may help focus and rank the importance of potential prevention strategies. Using data from a case-control study conducted in Italy between 1983 and 1991 on 971 ovarian cancer cases and 2758 control women we computed the multivariate relative risk estimates, and population attributable risks (PARs), i.e. the proportion of ovarian cancers that would have been avoided if a given exposure had not been present in the population. Overall, the PARs were 5{\%} for nulliparity, 12{\%} for never OC use and 4{\%} for a family history of breast or ovarian cancer in first-degree relatives. Among women aged >/=50 years, later age at menopause accounted for 16{\%} of all ovarian cancer cases. Low intake of green vegetables accounted for 24{\%} of cases and a high fat score for 7{\%}. All these factors together explained 51{\%} of cases. In conclusion, even if the PAR estimates were based on several arbitrary assumptions, available knowledge could, in principle, explain over 50{\%} of all ovarian cancer cases in this Italian population, thus indicating and quantifying the theoretical scope for prevention.",
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AU - Chiantera, Vito

AU - Chiantera, Vito

AU - Surace, null

AU - Benzi, null

AU - Parazzini, Fabio

AU - Chatenoud, null

AU - La Vecchia, null

PY - 2000

Y1 - 2000

N2 - Parity, oral contraceptive (OC) use, age at menopause, a family history of the disease and selected aspects of diet have been related to the risk of ovarian cancer. The quantification of their impact on a population level may help focus and rank the importance of potential prevention strategies. Using data from a case-control study conducted in Italy between 1983 and 1991 on 971 ovarian cancer cases and 2758 control women we computed the multivariate relative risk estimates, and population attributable risks (PARs), i.e. the proportion of ovarian cancers that would have been avoided if a given exposure had not been present in the population. Overall, the PARs were 5% for nulliparity, 12% for never OC use and 4% for a family history of breast or ovarian cancer in first-degree relatives. Among women aged >/=50 years, later age at menopause accounted for 16% of all ovarian cancer cases. Low intake of green vegetables accounted for 24% of cases and a high fat score for 7%. All these factors together explained 51% of cases. In conclusion, even if the PAR estimates were based on several arbitrary assumptions, available knowledge could, in principle, explain over 50% of all ovarian cancer cases in this Italian population, thus indicating and quantifying the theoretical scope for prevention.

AB - Parity, oral contraceptive (OC) use, age at menopause, a family history of the disease and selected aspects of diet have been related to the risk of ovarian cancer. The quantification of their impact on a population level may help focus and rank the importance of potential prevention strategies. Using data from a case-control study conducted in Italy between 1983 and 1991 on 971 ovarian cancer cases and 2758 control women we computed the multivariate relative risk estimates, and population attributable risks (PARs), i.e. the proportion of ovarian cancers that would have been avoided if a given exposure had not been present in the population. Overall, the PARs were 5% for nulliparity, 12% for never OC use and 4% for a family history of breast or ovarian cancer in first-degree relatives. Among women aged >/=50 years, later age at menopause accounted for 16% of all ovarian cancer cases. Low intake of green vegetables accounted for 24% of cases and a high fat score for 7%. All these factors together explained 51% of cases. In conclusion, even if the PAR estimates were based on several arbitrary assumptions, available knowledge could, in principle, explain over 50% of all ovarian cancer cases in this Italian population, thus indicating and quantifying the theoretical scope for prevention.

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