Catalan
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
European Journal of Nutrition 2013-Apr

Dietary patterns and breast cancer risk among women in northern Tanzania: a case-control study.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Irmgard Jordan
Antje Hebestreit
Britta Swai
Michael B Krawinkel

Paraules clau

Resum

BACKGROUND

Breast cancer is the second most common cancer among women in the Kilimanjaro Region of Tanzania. It was tested within a case-control study in this region whether a specific dietary pattern impacts on the breast cancer risk.

METHODS

A validated semi-quantitative Food Frequency Questionnaire was used to assess the dietary intake of 115 female breast cancer patients and 230 healthy age-matched women living in the same districts. A logistic regression was performed to estimate breast cancer risk. Dietary patterns were obtained using principal component analysis with Varimax rotation.

RESULTS

The adjusted logistic regression estimated an increased risk for a "Fatty Diet", characterized by a higher consumption of milk, vegetable oils and fats, butter, lard and red meat (OR = 1.42, 95 % CI 1.08-1.87; P = 0.01), and for a "Fruity Diet", characterized by a higher consumption of fish, mango, papaya, avocado and watery fruits (OR = 1.61, 95 % CI 1.14-2.28; P = 0.01). Both diets showed an inverse association with the ratio between polyunsaturated and saturated fatty acids (P/S ratio).

CONCLUSIONS

A diet characterized by a low P/S ratio seems to be more important for the development of breast cancer than total fat intake.

Uneix-te a la nostra
pàgina de Facebook

La base de dades d’herbes medicinals més completa avalada per la ciència

  • Funciona en 55 idiomes
  • Cures a base d'herbes recolzades per la ciència
  • Reconeixement d’herbes per imatge
  • Mapa GPS interactiu: etiqueta les herbes a la ubicació (properament)
  • Llegiu publicacions científiques relacionades amb la vostra cerca
  • Cerqueu herbes medicinals pels seus efectes
  • Organitzeu els vostres interessos i estigueu al dia de les novetats, els assajos clínics i les patents

Escriviu un símptoma o una malaltia i llegiu sobre herbes que us poden ajudar, escriviu una herba i vegeu malalties i símptomes contra els quals s’utilitza.
* Tota la informació es basa en investigacions científiques publicades

Google Play badgeApp Store badge