Perceptions of Air Pollution Risks in Road Runs: Insights from Runners and the Public in Taiwan

Achieving the Sustainable Development Goals Requires Transdisciplinary Innovation at the Local Scale

Very little information is available about young women's breast self-examination (BSE) health beliefs and practice. The purpose of this descriptive survey was to determine if changes occurred in young women's BSE health beliefs, attitudes, knowledge, and performance over the first year of a registered nursing degree program. The convenience sample consisted of female students ages 40 years or younger who were surveyed at the beginning (n = 105) and end (n = 71) of the first year of the course. The Health Belief Model was used as the conceptual model in the study to measure the students' health beliefs and to calculate mean health belief scores. Data were collected using self-administered questionnaires and analyzed using descriptive and inferential statistics. Results found students' BSE health belief scores to be high for perceived seriousness and benefits; moderate for susceptibility, control, and health motivation; and low for perceived barriers. These beliefs were not found significantly to predict or increase student's attitudes, knowledge, or performance of BSE, even though significant associations were identified between individual health beliefs. Students consistently reported positive attitudes toward the importance of BSE and in learning more about the procedure. Approximately one-third of students reported performing BSE monthly. No significant differences were identified in their BSE knowledge or performance over the year. Positive correlations were found between students' BSE frequency and their nursing experience as well as BSE instruction gained outside the course. In summary, no statistically significant differences were found between students' pretest and posttest BSE variables.

Differences in health beliefs and health behaviors between university, academic and professional staff

Purpose: The purpose of this study is to provide base data for preparing plans that North Korean (NK) Refugees can adjust themselves to our society with a healthy mind after they get over their health problems using the Health Belief Model, knowing the relationship between individual characteristics and health beliefs, and health behavior. Methods: The subjects were 304 NK adult refugees in Hanawon. Data were collected by demographic questionnaire, health behavior scale, self-efficacy scale, perceived benefit scale, perceived barrier scale, perceived seriousness, perceived sensibility, and individual characteristics. Results: The factors influencing the health behavior of NK refugees were perceived benefits, self-efficacy, the period in the third country and experience in being expelled to NK, and these variables were describing 31.4% of the health behaviors of refugees. Conclusion: The perceived benefits and self-efficacy of health belief and specific experiences related to refugee affected NK refugees' health behavior.

The <scp>SDGs</scp>: A change agenda shaping the future of business and humanity at large

The aim of the study was to evaluate of the knowledge, behavior and health beliefs of individuals over 50 regarding colorectal cancer screening, with a descriptive and cross-sectional design at Karabuk Life and Health Center in Turkey. A total of 160 people meeting set criteria were included in the study. The questionnaire consisted of two parts. The first part was composed of questions on characteristics of participants and the second part of questions derived from the Champion's Health Belief Model Scale. Only 15.0% of participants (n=24) had undergone a fecal occult blood test (FOBT), 11.3% (n=18) had had colonoscopy and 4.4% (n=7) had had sigmoidoscopy. Some 90.6% of the participants had low levels of risk awareness about the colorectal cancer. It was found that the average point of severity subscale of participants over 65 is higher than that of participants under 65 (p<0.05). In conclusion, because of the many barriers and health beliefs for the colorectal cancer screening program, the rate of participation in screening programs is not sufficient. Healthcare providers have important responsibilities for increasing rate of attendance in colorectal cancer screening programs.

BackgroundPublic health authorities have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions toward such interventions should be identified to enable public health authorities to effectively address valid concerns. The Health Belief Model (HBM) has been used to characterize user-generated content from social media during previous outbreaks, with the aim of understanding the health behaviors of the public.ObjectiveThis study is aimed at developing and evaluating deep learning–based text classification models for classifying social media content posted during the COVID-19 outbreak, using the four key constructs of the HBM. We will specifically focus on content related to the physical distancing interventions put forth by public health authorities. We intend to test the model with a real-world case study.MethodsThe data set for this study was prepared by analyzing Facebook comments that were posted by the public in response to the COVID-19–related posts of three public health authorities: the Ministry of Health of Singapore (MOH), the Centers for Disease Control and Prevention, and Public Health England. The comments made in the context of physical distancing were manually classified with a Yes/No flag for each of the four HBM constructs: perceived severity, perceived susceptibility, perceived barriers, and perceived benefits. Using a curated data set of 16,752 comments, gated recurrent unit–based recurrent neural network models were trained and validated for text classification. Accuracy and binary cross-entropy loss were used to evaluate the model. Specificity, sensitivity, and balanced accuracy were used to evaluate the classification results in the MOH case study.ResultsThe HBM text classification models achieved mean accuracy rates of 0.92, 0.95, 0.91, and 0.94 for the constructs of perceived susceptibility, perceived severity, perceived benefits, and perceived barriers, respectively. In the case study with MOH Facebook comments, specificity was above 96% for all HBM constructs. Sensitivity was 94.3% and 90.9% for perceived severity and perceived benefits, respectively. In addition, sensitivity was 79.6% and 81.5% for perceived susceptibility and perceived barriers, respectively. The classification models were able to accurately predict trends in the prevalence of the constructs for the time period examined in the case study.ConclusionsThe deep learning–based text classifiers developed in this study help to determine public perceptions toward physical distancing, using the four key constructs of HBM. Health officials can make use of the classification model to characterize the health behaviors of the public through the lens of social media. In future studies, we intend to extend the model to study public perceptions of other important interventions by public health authorities.

Background: Rural populations exhibit low colorectal cancer (CRC) screening rates, which may be a consequence of social determinants of health but may also result from individual health beliefs. This study aimed to explore the association between key health belief model (HBM) variables and CRC screening status in a rural Midwest population. Methods: One hundred thirty six people participated in this cross-sectional study. A survey instrument was developed to capture demographic information and measure the following HBM variables: perceived barriers, perceived benefits, self-efficacy beliefs associated with CRC screening, and knowledge associated with CRC. Results: The response rate for the study was 17.6%. The most endorsed (28.5%) barrier to CRC screening was fear of something going wrong. The most endorsed (86.5%) benefit of CRC screening was confidence that privacy and confidentiality would be protected. There were significant differences (P &lt; .01) in means for perception of barriers, benefits, and self-efficacy according to CRC screening status. In a model which included perception of barriers, benefits, and self-efficacy, only perceived barriers made a unique, significant (P &lt; .05) contribution (OR = 0.823 [0.706–0.958]) in predicting CRC screening status. Conclusions: Key HBM variables, perception of barriers, benefits, and self-efficacy seem to be important factors associated with CRC screening in rural populations and may be appropriate targets for interventions to increase CRC screening.

This research explores if a social marketing intervention model based on social representations theory and the health belief model can generate changes regarding treatment adherence and improve patient self-efficacy. As a pilot, a test–retest field quasi-experiment was designed to evaluate the intervention model with type 1 diabetes (T1DM) patients of families with 8- to 17-year-old children. The intervention model was designed to clarify misconceptions, increase awareness of the benefits of following doctors’ treatments and improve patients’ self-efficacy. In-depth interviews were carried out to gain a richer understanding of the intervention’s effect. The pilot intervention generated a favourable change in shared misconceptions, individual health beliefs, glycaemic control and declared treatment adherence. This paper contributes to the social marketing literature and public health by providing early support for the theoretical assumptions regarding the role of shared misconceptions in physiological and behavioural outcomes for patients with T1DM. Contrary to previous studies, instead of only focusing on individual beliefs, this study incorporates shared beliefs between patients and caregivers, generating more comprehensive behavioural change.

Latino children experience one of the highest rates of early childhood caries requiring interventions based on valid conceptual frameworks. The Health Belief Model has relevance as a predictor of compliance with health recommendations based on perceptions of a health condition and behaviors to avoid the condition. The model encompasses four perceptual constructs (susceptibility, severity, benefits, barriers) and, for complex conditions, includes self-efficacy as an extended model. This study evaluated individual (self-efficacy and health beliefs) and cultural (acculturation status) level factors and the inter-relationship to determine if items assessed for the Extended Health Belief Model (EHBM) were valid measures of maternal factors. A cross-sectional study was conducted with 100 mother-child dyads at the Dental Center of Children's Hospital Colorado, Aurora, CO, USA. Participating mothers completed a survey in English or Spanish with items from the Basic Research Factors Questionnaire encompassing sociodemographic characteristics, oral health knowledge and behavior, and psychosocial measures including the EHBM. Language preference was a proxy for maternal acculturation. Children were examined to measure decayed, missing, and filled tooth surfaces. Internal consistency reliability of each subscale was evaluated using Cronbach's alpha. Convergent validity was assessed using linear regression to evaluate the association of the EHBM subscales with oral health-related measures and language preference. The benefits and self-efficacy scales reflected good reliability. Maternal education was the strongest predictor of health beliefs with significant associations for barriers, benefits, and susceptibility. Perceived benefits increased with each additional year in the household. There was a significant association between maternal oral health knowledge and higher perceived benefits and increased self-efficacy, and the same was found for higher knowledge of dental utilization which was also associated with children perceived as having increased susceptibility to early childhood caries. Less acculturated participants perceived more barriers to behavioral adherence and fewer barriers as knowledge increased. As dental utilization knowledge improved for Spanish-speaking participants, they perceived greater benefits from adherent oral health behavior compared to English-speaking participants. Items assessed for the EHBM were valid as measures of maternal factors influencing children's oral health outcomes in a Latino population.

Premarital screening (PMS) is an essential global measure that seeks to reduce the occurrence of specific genetic disorders and sexually transmitted diseases common in consanguineous marriages. Due to the lack of a nationwide study, this research was designed to comprehend how unmarried individuals perceive the risks and benefits of PMS. A cross-sectional study was conducted using an online questionnaire distributed through different social media platforms, responses from the native adult population (18-49 years) Saudi Arabia was only included in the study. The questionnaire was based on the Health Belief Model (HBM) to assessing seven different constructs including susceptibility, seriousness, benefits-, barriers-, & cues- to action, self-efficacy, and social acceptance. Data frequency was represented by mean and standard deviation; chi-square and t-tests were conducted for the comparison of independent and dependent variables. A multinomial logistic regression was used to predict factors influencing decisions related to PMS. 1,522 participants completed the survey, mostly 18-25 years old and most of them were women. The majority were single with 85 men and 1,370 women. Most participants (59.6%) believed their parents were related, while 40.5% did not. 122 respondents reported they had to marry within their tribe. Findings revealed significant correlations among all HBM themes, with varying strengths. Notably, a moderate positive relationship was found between the perception of benefits and cues to action, suggesting that enhancing the perceived benefits of PMS could facilitate safe marriage practices. Multinomial regression analysis revealed that demographic factors and health beliefs significantly influence individuals' intentions and behaviors toward PMS and safe marriage. The study concludes that by identifying and addressing barriers, and promoting positive social acceptance, PMS can significantly contribute to preventing genetic diseases and promoting safe marriage practices, although the cross-sectional design limits the establishment of causal relationships and further research is needed.

Understanding the Associations Between Modifying Factors, Individual Health Beliefs, and Hemodialysis Patients' Adherence to a Low-Phosphorus Diet

Despite the wealth of research on smart cities, there is a lack of studies examining interlinkages between smart cities and Sustainable Development Goals (SDGs). In other words, there is limited research on how implementing smart city solutions can lead to co-benefits and/or trade-offs for achieving SDGs. This systematic literature review was conducted to fill this gap. Results show that responsible development/implementation of smart city solutions and technologies could contribute to the progress toward SDGs. The literature is mainly focused on SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), SDG 7 (Affordable and Clean Energy), and SDG 6 (Clean Water and Sanitation). More work on other SDGs is needed. There is a bias toward reporting the benefits of smart cities. These include accelerating economic growth, improving efficiency, strengthening innovation, and raising citizen awareness. These benefits indicate that smart cities could catalyze the transition to sustainable development and address climate change challenges. However, this requires addressing trade-offs related to issues such as privacy and cyber security, costs of infrastructure upgrading, rebound effects associated with efficiency improvements, biased decision-making, reproduction of social biases, digital divide and lack of skills, misuse of AI, and limited legal setup. This review elaborates on these trade-offs and offers solutions to minimize them. Results show that the COVID-19 pandemic has increased attention to the interactions between smart cities and the SDGs, particularly those related to health and climate action. However, it has also cemented many new unethical practices. This review highlights governance/policy challenges that should be addressed to ensure smart cities can better contribute to the SDGs. It concludes that multi-scale and transparent governance mechanisms and regulatory frameworks are crucial for ensuring that smart city solutions support the transition toward sustainable and resilient cities.

PurposeThe 17 Sustainable Development Goals (SDGs) offer the best strategy to create a better future for people and our planet by 2030. The SDGs was adopted by all United Nations Member States in 2015 as a call for action by all countries poor, rich and middle-income to promote prosperity while protecting the environment. Tourism and hospitality is one of the fastest growing segments of the service industry in the Middle East. Aviation and the hotel industry represent the majority of the hospitality industry, and due to that, this paper aims to showcase their effort in following and adapting to UN SDGs to build sustainable communities and cities. The chosen companies for the analysis are Emirates Airline, Jumeirah Group and Rotana Group.Design/methodology/approachThis case study is based on secondary qualitative data retrieved from websites.FindingsThe findings indicate commitment to acknowledge and lead by example by following the UN SDGs at all three companies. The research reflected on the ability of the three companies to thrive in achieving SDGs. Further, the paper reveals why the construction of sustainable cities and communities is important. It explains how the wider hospitality industry could adapt and make an effort by working together with the hotel and aviation sectors in building smart cities and completely sustainable communities.Practical implicationsThe paper recommends a focus on strengthening Goal 8 – decent work and economic growth and Goal 11 – sustainable cities and communities to achieve common UN SDGs for all.Originality/valueThe chosen hospitality brands (Emirates Airline, Jumeirah Group and Rotana Group) represent examples of companies that are acknowledging and working on their engagement to become leaders in achieving UN SDGs. The process needs to be ongoing in what should be a final goal – building completely sustainable, self-sufficient cities and communities worldwide.

The major determinant of infant mortality in the United States is low birthweight (LBW). Health behaviors related to LBW are inadequate prenatal care, poor nutrition, smoking, and moderate to heavy alcohol use. Before interventions can be designed to assist women in modifying these health behaviors, more must be understood about their causes. The Health Belief Model (HBM) is a framework for analyzing beliefs that motivate health behaviors and is well established as a model for understanding health behavior decisions. The chief aim of this study was to develop an instrument to assess women's health beliefs during pregnancy. Questions for the instrument were generated around the four major constructs of the HBM: perceived susceptibility, seriousness, benefits, and barriers. Four focus group interviews, a literature review, and consultation with an HBM expert provided content for questions. The questionnaire was administered to a convenience sample of 127 women. The measurement models were tested using confirmatory factor analysis. Parsimony was achieved by reducing the original 106-item scale to 64 items. The final instrument provides support for the HBM but not for all of its discrete constructs.