The Association of Health Literacy with Breast Cancer Knowledge, Perception and Screening Behavior

Rakhshkhorshid, Marzieh; Navaee, Maryam; Nouri, Nayereh; Safarzaii, Fatemeh

doi:10.5152/ejbh.2018.3757

Cited by 30 publications

(38 citation statements)

References 24 publications

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“…Social networks can influence individuals' behavior by circulating information and beliefs on the effectiveness of recommended health behavior (Berkman and Glass, 2000). Beliefs and knowledge about breast cancer screening have been shown to be key determinants of mammography utilization (Dündar et al, 2006;Ferrat et al, 2013;Grunfeld et al, 2002;Lagerlund et al, 2000;Rakhshkhorshid et al, 2018). In addition, evidence shows that social network measured as the number of contact with family and friends as well as emotional social support (i.e., having someone to discuss personal concerns with) have a positive influence on mammography participation (Jensen et al, 2015).…”

Section: Theoretical Considerations and Relevant Empirical Literaturementioning

confidence: 99%

Does retirement affect secondary preventive care use? Evidence from breast cancer screening

Goldzahl¹

2020

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Population ageing is expected to increase the burden of non-communicable diseases, e.g., cardiovascular diseases and cancer. These diseases are amenable to prevention, such as lifestyle changes (primary prevention) and early detection (secondary prevention), and thus prevention is considered to be one of the keys to maintaining the health of an ageing population. This paper examines the causal impact of retirement on secondary preventive care use. While we focus on breast cancer screening, we also provide evidence for other types of screening such as cervical cancer screening. We use five waves of data from the Eurobarometer surveys conducted between 1996 and 2006, covering 25 different European countries. We address the endogeneity of retirement by using age thresholds for pension eligibility as instrumental variables. We find that retirement reduces secondary preventive care use. This effect is not driven by changes in health or income. Instead, our evidence suggests that generosity of the social health insurance system and women's beliefs concerning cancer prevention and treatment are important mechanisms.JEL codes: I12, I18, J26, C26

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Section: Theoretical Considerations and Relevant Empirical Literaturementioning

confidence: 99%

Does retirement affect secondary preventive care use? Evidence from breast cancer screening

Goldzahl¹

2020

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“…Smoking and alcohol consumption are risk factors for various cancers, including breast cancer [48]. Past research reported a positive association between high breast cancer knowledge and breast cancer screening participation, and suggested individuals might undergo breast cancer screening if they are knowledgeable about breast cancer, such as risk factors, usefulness of mammography, or causes [17,49,50]. In addition, individuals who are interested in preventing health problems or who actively engage in preventive health behaviors would be likely to engage more in healthy behaviors that can reduce the risk of disease or death.…”

Section: Relationships Between Health Behaviors and Breast Cancer Scrmentioning

confidence: 99%

“…Previous studies have revealed that breast cancer screening participation is associated with healthrelated lifestyle and behavioral factors; such as knowledge or health literacy of breast cancer [15][16][17], smoking habit [18,19], alcohol consumption [19,20], physical activity level [21], and self-perceived health [20,22].…”

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confidence: 99%

Relationship of attitudes toward uncertainty and preventive health behaviors with breast cancer screening participation

Satoh

Sato²

2020

Preprint

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Background Early detection of breast cancer is effective for prolonging survival, but the participation rate in breast cancer screening among target Japanese women remains low. This study examined the relationships between tendencies in decision-making under uncertainty conditions, health behaviors, demographics, and breast cancer screening participation in Japanese women. Methods Data for women aged 40 years or older obtained in the 2017 Keio Household Panel Survey were analyzed. Participants answered questions about breast cancer screening attendance in the last year, risk aversion, time preference, health behaviors (e.g., smoking habit, alcohol consumption, and medical treatment received in the last year), and demographic variables. Responses were analyzed using chi-squared tests, t-tests, and logistic regression analysis. Variables were entered into the regression model if they were significantly associated with breast cancer screening participation in univariate analysis. Results A total of 2,729 of 2,945 households responded to the questionnaire. Data from 708 questionnaires were analyzed. Among the respondents, 28.8% had participated in breast cancer screening in the past year. Factors found to significantly contribute to breast cancer screening participation included higher risk aversity (odds ratio [OR], 2.34; 95% confidence interval [CI] = 1.03–5.32; p = 0.043), medical treatment received in the last year (OR, 1.56; 95%CI = 1.06–2.30; p = 0.026), higher self-rated health (OR, 1.47; 95% CI = 1.18–1.83; p = 0.001), living above the poverty line (OR, 2.31; 95% CI = 1.13–4.72; p = 0.022), and having children (OR, 1.57; 95% CI = 1.02–2.42; p = 0.042). Factors not significantly associated with screening participation were smoker (OR, 0.20; 95% CI = 0.10–0.42; p < 0.000), alcohol drinker (OR, 0.56; 95% CI = 0.37–0.86; p = 0.007), self-employed (OR, 0.22; 95% CI = 0.10–0.46; p < 0.000), and unemployed (OR, 0.48; 95% CI = 0.26–0.90; p = 0.022). No significant relationship was observed between time preference and screening participation. Conclusions The results indicate that women who recognize the actual risk of developing breast cancer or have high awareness of breast cancer prevention tend to participate in breast cancer screening. Barriers to screening participation are not working for an enterprise that encourages screening and low income.

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“…Smoking and alcohol consumption are risk factors for various cancers, including breast cancer [48]. Past research has shown a positive association between high breast cancer knowledge and breast cancer screening participation, and suggested individuals might be more likely to undergo breast cancer screening if they are knowledgeable about breast cancer, including its risk factors, the usefulness of mammography, and causes [17,49,50]. In addition, individuals who are interested in preventing health problems or who actively engage in preventive health behaviors would be likely to engage more in healthy behaviors that can reduce the risk of disease or death.…”

Section: Relationship Between Health Behaviors and Breast Cancer Scrementioning

confidence: 99%

“…Previous studies have revealed that breast cancer screening participation is associated with healthrelated lifestyle and behavioral factors, such as knowledge or health literacy about breast cancer [15][16][17], smoking [18,19], alcohol consumption [19,20], physical activity level [21], and self-rated health (SRH) [20,22].…”

Section: Introductionmentioning

confidence: 99%

Relationship of attitudes toward uncertainty and preventive health behaviors with breast cancer screening participation

Satoh

Sato²

2020

Preprint

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Background: Early detection of breast cancer is effective for prolonging survival, but the participation rate in breast cancer screening among target Japanese women remains low. This study examined the relationships between tendencies in decision-making under conditions of uncertainty, health behaviors, demographics, and breast cancer screening participation in Japanese women.Methods: The study population consisted of the 2,945 households that completed the 2017 Keio Household Panel Survey (KHPS). Data were obtained from the KHPS for women aged 40 years or older. Breast cancer screening participation in the past year, risk aversion, time preference, health behaviors (e.g., smoking, alcohol consumption, and medical treatment received in the past year), and demographic variables were analyzed. Results: Data from 708 women were analyzed. Among the respondents, 28.8% had attended breast cancer screening in the past year. Factors found to significantly contribute to breast cancer screening participation included higher risk aversion (odds ratio [OR], 2.34; 95% confidence interval [CI] = 1.03-5.32; p = 0.043), medical treatment received in the past year (OR, 1.56; 95% CI = 1.06-2.30; p = 0.026), higher self-rated health (OR, 1.47; 95% CI = 1.18-1.83; p = 0.001), living above the poverty line (OR, 2.31; 95% CI = 1.13-4.72; p = 0.022), and having children (OR, 1.57; 95% CI = 1.02-2.42; p = 0.042). Factors not significantly associated with screening participation were smoking (OR, 0.20; 95% CI = 0.10-0.42; p < 0.000), alcohol consumption (OR, 0.56; 95% CI = 0.37-0.86; p = 0.007), being self-employed (OR, 0.22; 95% CI = 0.10-0.46; p < 0.000), and being unemployed (OR, 0.48; 95% CI = 0.26-0.90; p = 0.022). No significant relationship was observed between time preference and screening participation.Conclusions: The results indicate that women who recognize the actual risk of developing breast cancer or have high awareness of breast cancer prevention tend to participate in breast cancer screening. Barriers to screening participation are not working for an organization that encourages screening and low income.

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The Association of Health Literacy with Breast Cancer Knowledge, Perception and Screening Behavior

Abstract: Interventions to enhance breast cancer knowledge and screening should notice the HL of women.

Cited by 30 publications

References 24 publications

Does retirement affect secondary preventive care use? Evidence from breast cancer screening

Does retirement affect secondary preventive care use? Evidence from breast cancer screening

Relationship of attitudes toward uncertainty and preventive health behaviors with breast cancer screening participation

Relationship of attitudes toward uncertainty and preventive health behaviors with breast cancer screening participation

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