e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
- 4 JMIR Formative Research
- 2 JMIR Mental Health
- 2 JMIR Public Health and Surveillance
- 2 JMIR Research Protocols
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- 1 JMIR Serious Games
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An individual’s personality can influence acceptance and needs to be considered as a part of usability and the engagement with technology-driven interventions [16]. In younger populations, openness to experience and agreeableness, have been shown to be positively related to usability of technology [17].
Personality traits are characteristics of individuals that typically remain stable over the adult life course.
JMIR Form Res 2025;9:e64763
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Research has identified not only digital literacy, older age, and privacy knowledge as factors associated with willingness to share technology data but also psychological factors such as personality traits and generalized trust [13,16,17]. However, there is a knowledge gap regarding the magnitude of associations between psychological factors and willingness to share personal health technology data.
JMIR Form Res 2025;9:e64244
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The HRQo L of older adults is affected by a variety of physical, psychological, and social factors, among which personality plays a nonnegligible role [3]. Personality is a unique and relatively stable indicator in adulthood, affecting an individual’s thoughts, feelings, and behaviors across situations [4,5]. A systematic review showed that personality accounted for up to 45% of psychosocial HRQo L and 39% of physical HRQo L [6].
JMIR Public Health Surveill 2024;10:e57437
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Although studies link technology adoption to personality [24-26], no study has investigated its influence on digital maturity more broadly.
J Med Internet Res 2024;26:e52085
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The tuning of the model permits adding additional predictors (personality traits, self-efficacy for coping with cancer, sense of coherence, pain, anxiety, depression, risk perception, and Qo L) known to influence medication adherence behavior and that are not available retrospectively [10]. These data are used to improve the predictive power of the machine learning model and its capacity to profile patients’ adherence behaviors and to provide an individual risk value of nonadherence.
JMIR Res Protoc 2023;12:e48852
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Cancer Pain Experience Through the Lens of Patients and Caregivers: Mixed Methods Social Media Study
First, given that the data were retrieved from an online social network, demographics and user personal characteristics (eg, personality, anxiety, depression, etc) were missing from our analyses.
As for interpersonal characteristics, we could not match patients to their caregivers. The source of the data (the cancer subreddit) did not provide such information.
JMIR Cancer 2023;9:e41594
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One plausible target for preventing lifestyle risk behaviors and associated harms is personality traits.
JMIR Public Health Surveill 2023;9:e42244
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Personality characteristics have been regarded as among the most essential contributors to behavioral choices [19]. Personality reflects individual differences in thinking, feeling, and behaving, and it matures through age. In the widely acknowledged 5-factor model of personality (ie, the “Big Five” model), personality characteristics are categorized into 5 broader continuums [20,21]. Individuals scoring high in neuroticism tend to experience negative emotions, such as anger, fear, and stress.
JMIR Form Res 2022;6(11):e30285
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In addition to sociodemographic characteristics, other internal (eg, personality traits, dispositional optimism, and self-efficacy) and external (eg, social support) factors may affect the resilience of patients with cancer [15]. For example, adopting cognitive regulation strategies may help patients cope with strong emotions in order to not get overwhelmed and avoid stressful outcomes [19,20].
JMIR Res Protoc 2022;11(10):e34564
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Social Media News Use and COVID-19 Misinformation Engagement: Survey Study
We build on these findings and also consider whether personality traits may illustrate further individual differences in misinformation sharing behavior during the COVID-19 pandemic. Some scholars have suggested that personality traits influence misinformation engagement [29]. We refer to the 5-factor model of personality, which encompasses predispositions to everyday experiences and decision-making through the use of lay adjectives [30].
J Med Internet Res 2022;24(9):e38944
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