Iranian Women’s Breast Health–Seeking Behaviors

Mahmoodabad, Seyed Saeed Mazloomy; Khodayarian, Mahsa; Morowatisharifabad, Mohammad Ali; Lamyian, Minoor; Tavangar, Hossein

doi:10.1097/ncc.0000000000000563

Cited by 2 publications

(6 citation statements)

References 23 publications

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“…In 1 study conducted on Iranian women with breast cancer, the husbands' behavior was identified as the major source of support for help-seeking behaviors. Family cohesion and love between the couples were strong predictors of the husbands' supportive behaviors 30 . Another study in Iran has shown that husbands' support may improve the well-being of women with breast cancer 29 .…”

Section: Discussionmentioning

confidence: 95%

“…At the same time, they should also carry out other responsibilities such as housekeeping and childcare. Sacrificing, prioritizing family health, and striving to preserve the integrity of the family are the common features of Iranian women 30 . Because family members are the most important source of social support for Iranian women, efforts are needed to reduce women's self-sacrifice in the family.…”

Section: Discussionmentioning

confidence: 99%

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Symptom Disclosure Process Among Iranian Women With Self-discovered Breast Cancer

2020

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Breast cancer Disclosure Iranian womenBackground: Breast cancer is the most common malignancy among Iranian women.Symptom disclosure plays an important role in help-seeking behavior among women with self-discovered breast cancer. Objective: The aim of this study was to explain how symptoms are disclosed by Iranian women. Methods: This study was conducted based on the grounded theory qualitative approach. Twenty-two Iranian women with breast cancer, who discovered the symptoms themselves and were referred to 2 teaching hospitals in Tehran and Qazvin, were included via purposive and theoretical sampling.The data were collected through semistructured interviews and were analyzed based on the Corbin and Strauss approach. Results: The process of symptom disclosure had 5 stages including identifying the symptoms, evaluating and interpreting the symptoms, weighing the disclosure conditions, selecting the disclosure audience, and disclosing. The perceived threat was identified as the core category. On the basis of the level of threat perception and the seriousness of the symptoms, the 3 patterns of immediate disclosure, delayed disclosure, and nondisclosure were recognized. Conclusion: Perceived threat is the main motivator for rapid disclosure in Iranian women with potential breast cancer symptoms and leads to a better follow-up of the symptoms. Therefore, increasing women's awareness about breast cancer symptoms, treatments, and non-follow-up consequences leads to a better perception of the threat level. Implications for Practice: According to these findings, it is very important to increase Iranian women's awareness about the symptoms of breast cancer (especially the nonspecific ones). For this purpose, it is necessary to design educational interventions.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Symptom Disclosure Process Among Iranian Women With Self-discovered Breast Cancer

2020

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“…The sample of 17 men and 11 women reported an average of 28 years between the risk period of this virus and the first test. These data show that risk awareness does not necessarily lead to action [2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Research Backgroundmentioning

confidence: 99%

“…After mentioning some types of diseases and the work that has been done in the past to diagnose them using neural networks, they introduced the basic steps for medical diagnosis using neural networks. They concluded that neural networks are a powerful tool to help doctors diagnose diseases [1][2][3][4][5][6][7][8][9].…”

Section: Research Backgroundmentioning

confidence: 99%

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2023

INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMPUTER AND COMM

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Hepatitis is one of the most common diseases in the world and any early diagnosis can save the lives of many people suffering from this disease. The purpose of this research is to diagnose hepatitis disease using the combined model of the decision tree algorithm and Harris Hawks Optimization.In this research, the diagnosis of hepatitis disease was made using the decision tree and evolutionary algorithm of Harris Hawks Optimization . HHO algorithm is a population-based and gradient-independent optimization technique. The main idea of the HHO algorithm is the cooperative behavior and chasing style of Harris's falcon in nature, which is known as surprise attack. The effectiveness of the proposed HHO optimizer method, compared to other nature-inspired techniques, was tested on 29 functions and several real-world engineering problems were investigated. The statistical results and comparisons show that the HHO algorithm has very promising and sometimes competitive results compared to other well-known meta-heuristic techniques [6].

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Iranian Women’s Breast Health–Seeking Behaviors

Abstract: The study findings provided deeper understanding about the effective factors related to a husband's role in motivating a wife to practice breast cancer prevention. These new findings are relevant for health educators and practitioners to develop culturally based interventions.

Cited by 2 publications

References 23 publications

Symptom Disclosure Process Among Iranian Women With Self-discovered Breast Cancer

Symptom Disclosure Process Among Iranian Women With Self-discovered Breast Cancer

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