Investigating the predictors of breast cancer screening behaviors (breast self-examination, clinical examination or examination by physician/midwife and mammography) based on protection motivation theory (PMT) in women.

BACKGROUND: Breast cancer is one of the most common health problems worldwide. The mortality rate of this disease is due to the lack of knowledge about screening methods and late diagnosis of cancer. OBJECTIVE: The purpose of this study is to determine the predictors of breast cancer screening behaviors using protection motivation theory. METHODS AND MATERIALS: The conduction of study was cross-sectional and on 400 women aged 30-59 in Kashan. The data collection instrument was a researcher-made questionnaire based on protection motivation theory. Sampling was performed from all community health service centers in Kashan and the proportional to size sampling method was used as available sampling. The statistical tests were Pearson correlation and linear regression. The software used was version 22 SPSS and the significance level was 0.05. RESULTS: The results showed that the average age of women was 39.7 ± 7.9 years. There is a direct and statistically significant relationship between perceived breast cancer screening behaviors and perceived self-efficacy (P < 0.05) and there is an inverse statistically significant relationship between breast cancer screening behaviors and perceived cost (P < 0.05). There is also a direct and significant statistical relationship between motivation of protection and perceived sensitivity, intensity, self-efficacy, cost, and perceived response efficiency (P < 0.05). Perceived self-efficacy, cost, and response efficiency are the predictors of breast cancer screening behaviors. The perceived cost is the negative predictor. CONCLUSION: Overall, health care providers can view PMT as a framework for developing educational interventions aimed at improving behaviors related to breast cancer screening of women.

Prevalence and predictors of complementary and alternative medicine use among people with coronary heart disease or at risk for this in the sixth Tromsø study: a comparative analysis using protection motivation theory.

BACKGROUND: Engagement in healthy lifestyle behaviors, such as healthy diet and regular physical activity, are known to reduce the risk of developing coronary heart disease (CHD). Complementary and alternative medicine (CAM) is known to be associated with having a healthy lifestyle. The primary aim of this study was to examine the prevalence and predictors of CAM use in CHD patients, and in those without CHD but at risk for developing CHD, using Protection Motivation Theory (PMT) as a guiding conceptual framework. METHOD: Questionnaire data were collected from 12,981 adult participants in the cross-sectional sixth Tromsø Study (2007-8). Eligible for analyses were 11,103 participants who reported whether they had used CAM or not. Of those, 830 participants reported to have or have had CHD (CHD group), 4830 reported to have parents, children or siblings with CHD (no CHD but family risk), while 5443 reported no CHD nor family risk of CHD. We first compared the patterns of CAM use in each group, and then examined the PMT predictors of CAM use. Health vulnerability from the threat appraisal process of PMT was assessed by self-rated health and expectations for future health. Response efficacy from the coping appraisal process of PMT was assessed as preventive health beliefs and health behavior frequency. RESULTS: Use of CAM was most commonly seen in people with no CHD themselves, but family risk of developing CHD (35.8%), compared to people already diagnosed with CHD (30.2%) and people with no CHD nor family risk (32.1%). All four of the PMT factors; self-rated health, expectations for future health, preventive health beliefs, and the health behavior index - were predictors for CAM use in the no CHD but family risk group. CONCLUSION: These findings suggest that people use CAM in response to a perceived risk of developing CHD, and to prevent disease and to maintain health.

Examining the Cervical Screening Behaviour of Women Aged 50 or above and Its Predicting Factors: A Population-Based Survey.

Under-screening may increase the risk of cervical cancer in middle-aged women. This study aimed to investigate cervical cancer screening behaviour and its predictors among women aged 50 years or above. A population-based sample of 959 women was recruited by telephone from domestic households in Hong Kong, using random methods, and a structured questionnaire developed to survey participants. Multivariable logistic regressions were performed to examine the factors independently associated with cervical screening behaviour. Nearly half the sample (48%) had never had a cervical smear test. Multivariable analyses showed that age, educational level, marital status, family history of cancer, smoking status, use of complementary therapy, recommendation from health professionals, and believing that regular visits to a doctor or a Chinese herbalist were good for their health were predictors of cervical screening behaviour. Misconceptions concerned with menopause may reduce women's perceived susceptibility to cervical cancer, especially if they are 50 or above, and exert a negative effect on their screening behaviour. Healthcare professionals should actively approach these high-risk groups-older unmarried women, smokers, those less educated and who are generally not much concerned with their health.

A novel framework for analysing stakeholder interest in healthy foods: A case study on iodine biofortification.

Despite the availability of novel strategies to prevent micronutrient malnutrition, such as biofortification, limited understanding of stakeholders often hampers their success. We build upon the existing literature on protection motivations (PMT) and technology acceptance (TAM) to develop an integrated PMTAM model for analyzing stakeholders' reactions, on both the supply and demand sides. Regarding the latter, the case of the iodine biofortified food chain is used to evaluate African households' interest. All model constructs, and threat appraisal in particular, are decisive in determining the uptake of biofortification, while also social demographics and own nutrition status play an important role.