Additional file 1 of Knowledge of ovarian cancer symptoms among women in Palestine: a national cross-sectional study

Autor: Elshami, Mohamedraed, Yaseen, Areej, Alser, Mohammed, Al-Slaibi, Ibrahim, Jabr, Hadeel, Ubaiat, Sara, Tuffaha, Aya, Khader, Salma, Khraishi, Reem, Jaber, Inas, Arafeh, Zeina Abu, Al-Madhoun, Sondos, Alqattaa, Aya, El Hadi, Asmaa Abd, Barhoush, Ola, Hijazy, Maysun, Eleyan, Tamara, Alser, Amany, Hziema, Amal Abu, Shatat, Amany, Almakhtoob, Falasteen, Mohamad, Balqees, Farhat, Walaa, Abuamra, Yasmeen, Mousa, Hanaa, Adawi, Reem, Musallam, Alaa, Abu-El-Noor, Nasser, Bottcher, Bettina
Rok vydání: 2021
DOI: 10.6084/m9.figshare.16928252.v1
Popis: Additional file 1: Supplementary Table 1. Multivariable logistic regression analyzing the association between recognizing the three most identified symptoms of ovarian cancer and participant characteristics. Supplementary Table 2. Multivariable logistic regression analyzing the association between recognizing ovarian cancer symptoms with pain and participant characteristics. Supplementary Table 3. Multivariable logistic regression analyzing the association between recognizing other ovarian cancer symptoms and participant characteristics. Supplementary Table 4. Bivariable logistic regression analyzing the association between recognizing the three most identified symptoms of ovarian cancer and participant characteristics. Supplementary Table 5. Bivariable logistic regression analyzing the association between recognizing ovarian cancer symptoms with pain and participant characteristics. Supplementary Table 6. Bivariable logistic regression analyzing the association between recognizing other ovarian cancer symptoms and participant characteristics.
Databáze: OpenAIRE