Health Risk Perceptions and Exercise in Older Adulthood

Ruthig, Joelle C.

doi:10.1177/0733464814544214

Cited by 19 publications

(14 citation statements)

References 46 publications

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“…22 Accordingly, coping appraisals appear to play a greater role than the threat components in predicting intent; however, it would be premature to focus exclusively on coping appraisals without a better understanding of threat appraisal contributions to overall PMT model. 23,24 Contrary to the current expectations based on the PMT constructs, it is generally seen that none of the threat appraisal components (severity, vulnerability, and maladaptive response rewards) predicted protection motivation and behavior accurately. A possible explanation for this ineffective predictive relationship is that fall protective behavior is less likely to be affected by emotional factors.…”

Section: Discussioncontrasting

confidence: 79%

<p>Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory</p>

Taheri-Kharameh¹,

Bashirian²,

Heidarimoghadam³

et al. 2020

CIA

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The protection motivation theory (PMT) is a common framework understanding the use of protective behaviors. The aim of this study was to assess the predictors of fall protective behaviors among community-dwelling older adults, Iran. Methods: The cross-sectional study was conducted in Qom, Iran, from May to October 2018. Three hundred older people were selected from retirement centers via stratified sampling method. Data were collected by a questionnaire containing items on socio-demographic information, Falls Behavioral (FaB) Scale, and PMT constructs scale. Data analysis was performed using descriptive statistics and structural equation modeling. Results: The mean (SD) age of the participants was 64.6 (5.5) and the majority were male (77.7%). Level of perceived fall threat was lower than perceived efficacy of fall protective behaviors. There was a significant relationship between protection motivation and fall protective behaviors (β= 0.515, t-value= 13.650). Coping appraisals (β= 0.409, t-value= 7.352) and fear (β= 0.194, t-value= 2.462) were associated with motivation. The model explained approximately 27% of the variance in fall protective behaviors. The goodness of fit index of 0.48 indicating the model good fit. Conclusion: The results indicated that protection motivation, coping appraisals and reasonable fear are considered as the strongest predictors of fall protective behaviors among older people. The results can help health care providers to develop appropriate interventions to fall prevention among older people.

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Section: Discussioncontrasting

confidence: 79%

<p>Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory</p>

Taheri-Kharameh¹,

Bashirian²,

Heidarimoghadam³

et al. 2020

CIA

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“…Perceived severity is one of the main constructs in popular theoretical models (such as the PMT) that affect risk perceptions and creates motivation to take precautionary measures against a disease ( Rogers, 1975 ). Previous work showed that perceived severity significantly predicts intention to take measures against life-threatening diseases, such as acute health issues ( Ruthig, 2016 ) and pandemics ( Bults et al, 2015 ). For behavioral change to occur, humans must perceive they have a sufficient reason to change.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

Laato

Islam

Farooq

et al. 2020

Journal of Retailing and Consumer Services

687

595

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During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.

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“…The possible explanations are: older adults perceiving they are more vulnerable to the threat of mobility challenges may experience a reversal effect. Previous health protective behavior studies found higher levels of perceived susceptibility to threat can have variable effects, sometimes motivating preventive behavior but often leading to denial and avoidance 92,93 . A previous study found that Malaysian older adults generally avoided thinking or discussing about future care needs due to cultural taboos 94 .…”

Section: Discussionmentioning

confidence: 99%

“…Previous health protective behavior studies found higher levels of perceived susceptibility to threat can have variable effects, sometimes motivating preventive behavior but often leading to denial and avoidance. 92,93 A previous study found that Malaysian older adults generally avoided thinking or discussing about future care needs due to cultural taboos. 94 Hence, perceived vulnerability may be less effective in predicting intention to use MAs in this context.…”

Section: Discussionmentioning

confidence: 99%

What drives low‐income older adults' intention to use mobility applications?

Chan,

Chong,

Teh

et al. 2024

Geriatrics Gerontology Int

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AimMobility applications have the potential to support low‐income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low‐income older adults' technology adoption.MethodsA cross‐sectional survey was conducted across seven states in Malaysia among community‐dwelling low‐income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre‐validated scales and 7‐point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.ResultsMobility technology awareness was found to shape an individual's threat and coping appraisals associated with their intention to use a mobility app. The decision of a low‐income older adult to adopt a mobility app as a protective action is not a direct function of threat and coping appraisals but is indirect, and mediated by the underlying cost–benefit perceptions of non‐adoption and adoption of the mobility app. In terms of technology perceptions, perceived usefulness is a significant predictor, but not perceived ease of use.ConclusionsThis study entails a new model by uncovering the psychological factors encompassing mobility technology awareness, threat‐coping appraisals, and cost–benefit perceptions on Technology Acceptance Model studies. These insights have important implications for the development and implementation of a mobility app among low‐income older adults. Geriatr Gerontol Int 2024; ••: ••–••.

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Health Risk Perceptions and Exercise in Older Adulthood

Cited by 19 publications

References 46 publications

<p>Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory</p>

<p>Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory</p>

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

What drives low‐income older adults' intention to use mobility applications?

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