Correlates of Protective Motivation Theory (PMT) to Adolescents’ Drug Use Intention

Wu, Cynthia Sau Ting; Wong, Ho Ting; Chou, Lai Yan; To, Bobby Pak Wai; Lee, Wai Lok; Loke, Alice Yuen

doi:10.3390/ijerph110100671

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…A study initiated by the World Bank also concludes that for China, more than 50% of the disease burden increase due to chronic diseases can be controlled by adjusting health‐risk behaviors . At present, many studies on health behaviors conducted in academia, involving women, adolescents, college students, elderly people, and corresponding factors, have further confirmed the importance of health behaviors to individual health and laid the foundation for the development of this study.…”

Section: Introductionmentioning

confidence: 54%

Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the ChineseLongitudinalHealthyLongevitySurvey

Liu

Yan

Yue

et al. 2019

Health Planning & Management

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Summary Introduction Health behaviors play an important role in determining individual health status; thus, understanding differences in the health behaviors of elderly individuals and their influencing factors is a prerequisite for the formulation and implementation of health behavior promotion policies for elderly individuals. The objectives of this study were to explore differences in health behaviors among Chinese elderly people and their influencing factors. Methods Based on data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2014, this paper applied latent class analysis (LCA) to explore differences in the health behaviors of elderly individuals in China and employed a multinomial logit model to identify the influencing factors that cause these differences. Results Results showed that there are five classes of health behaviors among elderly individuals in China: passive, relatively passive, general, relatively positive, and positive, the proportions of which were 31.07%, 15.86%, 24.06%, 17.24%, and 11.76%, respectively. Community medical and health services, pension, living arrangements, and family income were the primary factors explaining differences in the health behaviors of elderly individuals. In addition, there were significant demographic differences in the health behaviors of elderly individuals in China, including gender, age, education, marital status, census register, region, and others. Conclusion There are significant differences in the behaviors of elderly individuals in China, and the behaviors of the majority of elderly people are not healthy. China is expected to invest more medical and health resources to tackle health prevention and management and to provide targeted education, guidance, and intervention in elderly health behaviors, urging them to control and correct risky health behaviors with a focus on elderly individuals that are the oldest, are females, have low education levels, and live in the countryside and in towns.

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Section: Introductionmentioning

confidence: 54%

Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the ChineseLongitudinalHealthyLongevitySurvey

Liu

Yan

Yue

et al. 2019

Health Planning & Management

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“…Another qualitative study was conducted among Chinese residents in the United Kingdom and the Netherlands by Jiang et al (2009) to identify the origins of SARS risk perceptions and their impact on precautionary actions and adverse consequences from the perspective of vulnerable communities living in unaffected regions, using protection motivation theory, and showed that perceived threat and perceived response efficacy regarding the SARS preventive behavior was the most important predictor. Another exploratory study for the correlation between Protection Motivation Theory measures and the intention to use drugs indicated that intrinsic and extrinsic reward components of the PMT explained about 50% of the variation, with odds ratios of 2.90 and 8.04 (p < .05) (Wu et al, 2014).…”

Section: Protection Motivation Theory (Pmt)mentioning

confidence: 99%

Protective Behavior against COVID-19 among the Public in Kuwait: An Examination of the Protection Motivation Theory, Trust in Government, and Sociodemographic Factors

Al-Rasheed

2020

Social Work in Public Health

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With the COVID-19 pandemic threatening millions of lives around the world with no clear promises for treatment or vaccine yet, motivating the public to change their behaviors to prevent the spread of the disease becomes crucial and moral imperative. The current study investigated the associations between self-reported intentions to perform protective behaviors against COVID-19, the seven constructs of the Protection Motivation Theory PMT, trust in government, and sociodemographic factors within the general population in Kuwait. A cross-sectional design was adapted to explore the associations between study factors in a nonprobability voluntary response sample of 679 participants who completed an online public survey. Results indicate that the scores of trust in government and the severity, vulnerability, response efficacy, and self-efficacy subconstructs of the PMT were positively related to protective behavior intention, whereas intrinsic and extrinsic reward and response cost subconstructs were negatively associated with protective behavior intention. The results were discussed considering previous literature and future applications.

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“…Although the PMT has been successfully applied in a wide range of health behavior interpretations and predictions [ 7 , 14 ], its application in studies on PHRs is still rather limited. Therefore, the present study incorporated the antecedent variables of the PMT as factors affecting the acceptance of PHRs.…”

Section: Introductionmentioning

confidence: 99%

A Study of Personal Health Record User’s Behavioral Model Based on the PMT and UTAUT Integrative Perspective

Hsieh

Kuo

Wang

et al. 2016

IJERPH

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The personal health record (PHR) is a system that enables borderless medical care services by combining technological innovation and human consideration. This study explored factors affecting the adoption of PHR from technical, medical, and social perspectives according to the Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT) model. A survey using a structured questionnaire was subsequently conducted, which produced the following results: (1) The PMT and UTAUT were effective at predicting PHR usage behaviors; (2) Perceived ease-of-use was the most decisive factor influencing the use of PHR, followed by self-efficacy and perceived usefulness; and (3) Behavioral intention for PHR was significantly and positively correlated with usage behavior. From the obtained results, this study recommends that health authorities and medical institutions promote self-efficacy in the use of PHR to improve the levels of behavioral intention and usage behavior among the people. Additionally, medical care institutions are recommended to promote health management and preventive healthcare concepts to help improve public acceptance of the PHR system as a means to self-manage their health. Finally, community centers, medical institutions, and health authorities are urged to work together to enhance public medical knowledge and pool resources for the PHR system, both of which are essential for improving the popularity of the PHR, public quality of life, and the effectiveness of health management.

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Correlates of Protective Motivation Theory (PMT) to Adolescents’ Drug Use Intention

Cited by 12 publications

References 23 publications

Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the ChineseLongitudinalHealthyLongevitySurvey

Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the ChineseLongitudinalHealthyLongevitySurvey

Protective Behavior against COVID-19 among the Public in Kuwait: An Examination of the Protection Motivation Theory, Trust in Government, and Sociodemographic Factors

A Study of Personal Health Record User’s Behavioral Model Based on the PMT and UTAUT Integrative Perspective

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