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Relative Preference for In-Person, Telehealth, Digital, and Pharmacologic Mental Health Care After the COVID-19 Pandemic: Cross-Sectional Questionnaire Study

Relative Preference for In-Person, Telehealth, Digital, and Pharmacologic Mental Health Care After the COVID-19 Pandemic: Cross-Sectional Questionnaire Study

Care preferences were also examined relative to potential predictors of care use: gender, race, age, (self and public) stigma, discrimination, and level of shame.

E Marie Parsons, Zoë G Figueroa, Michele Hiserodt, Talea Cornelius, Michael W Otto

J Med Internet Res 2025;27:e54608

Understanding Individual Differences in Happiness Sources and Implications for Health Technology Design: Exploratory Analysis of an Open Dataset

Understanding Individual Differences in Happiness Sources and Implications for Health Technology Design: Exploratory Analysis of an Open Dataset

Age brackets also differed in how they expressed happiness [13]. Other research studies have also shown differences between demographic groups in the factors associated with happiness levels [14,15]. As noted earlier, sex influences the sources of happiness. Age, marital status, and parenthood status also influence the sources of happiness. The effects of age and marital status would also appear to interact with sex to influence the importance of individual sources of happiness [14].

Edel Ennis, Raymond Bond, Maurice Mulvenna, Colm Sweeney

JMIR Form Res 2025;9:e65658

Use of mHealth Technology for Improving Exercise Adherence in Patients With Heart Failure: Systematic Review

Use of mHealth Technology for Improving Exercise Adherence in Patients With Heart Failure: Systematic Review

HF is generally associated with advancing age and has the highest readmission rates among all chronic diseases, adding to the increase in health care costs [2,12]. As such, effective and efficient management of HF using both pharmacological and nonpharmacological methods is essential. As a nonpharmacological method, exercise training interventions have been shown to decrease hospitalizations, increase exercise capacity, and improve quality of life [13].

Pallav Deka, Erin Salahshurian, Teresa Ng, Susan W Buchholz, Leonie Klompstra, Windy Alonso

J Med Internet Res 2025;27:e54524

Citizen Worry and Adherence in Response to Government Restrictions in Switzerland During the COVID-19 Pandemic: Repeated Cross-Sectional Online Surveys

Citizen Worry and Adherence in Response to Government Restrictions in Switzerland During the COVID-19 Pandemic: Repeated Cross-Sectional Online Surveys

In our previously published cross-sectional population survey, performed during the first wave of the pandemic, we found high self-reported adherence to official restrictions, which increased with age and level of worry [20]. As in the aforementioned studies, worry was high, particularly among people in isolation and with lower health literacy. Nearly half of the respondents felt that government responses were adequate or, associated with higher levels of worry, even insufficient.

Vanessa Kraege, Céline Dumans-Louis, Céline Maglieri, Séverine Bochatay, Marie-Anne Durand, Antoine Garnier, Kevin Selby, Christian von Plessen

Interact J Med Res 2025;14:e55636

Trends in Exercise-Related Internet Search Keywords by Sex, Age, and Lifestyle: Infodemiological Study

Trends in Exercise-Related Internet Search Keywords by Sex, Age, and Lifestyle: Infodemiological Study

For male individuals, the search percentages across different age groups were highest for “Pilates,” “yoga,” “muscle training,” “exercise bike,” “walking,” “running,” and “hiking” in the 40-49 years age group. “Stretch” showed the highest search percentage in the 50-59 years group, whereas “tai chi” and “radio calisthenics” were the highest in the 70-79 years group.

Kosuke Uemura, Taiju Miyagami, Mizue Saita, Takuro Uchida, Shun Yuasa, Keita Kondo, Shun Miura, Mizuki Matsushita, Yuka Shirai, Richard Baku Misawa, Toshio Naito

JMIR Form Res 2024;8:e59395

Identification of Motivational Determinants for Telemedicine Use Among Patients With Rheumatoid Arthritis in Germany: Secondary Analysis of Data From a Nationwide Cross-Sectional Survey Study

Identification of Motivational Determinants for Telemedicine Use Among Patients With Rheumatoid Arthritis in Germany: Secondary Analysis of Data From a Nationwide Cross-Sectional Survey Study

RA is the most common rheumatic disease with a global age-standardized point prevalence and annual incidence rates of 246.6 and 14.9 per 100,000 population in 2017 [2]. RA is associated with high medical costs [3] and contributes to a significant deterioration in quality of life [4]. Patients in rural areas usually have limited access to rheumatology care and therefore, accept longer diagnosis times [5].

Felix Muehlensiepen, Pascal Petit, Johannes Knitza, Martin Welcker, Nicolas Vuillerme

J Med Internet Res 2024;26:e47733

Sociodemographic Factors Associated With Using eHealth for Information Seeking in the United States: Cross-Sectional Population-Based Study With 3 Time Points Using Health Information National Trends Survey Data

Sociodemographic Factors Associated With Using eHealth for Information Seeking in the United States: Cross-Sectional Population-Based Study With 3 Time Points Using Health Information National Trends Survey Data

Given the consistent and well-documented association between older age and reduced use of e Health for information seeking, this study stratified analyses by age cohort to assess differences among respondents of similar age. The age cohorts of interest were millennials, Generation X, baby boomers, and silent generation. Respondents were grouped based on cohort ages defined by the Pew Research Center [34].

Christian Elias Vazquez, Rebecca L Mauldin, Denise N Mitchell, Faheem Ohri

J Med Internet Res 2024;26:e54745

Perception of Medication Safety–Related Behaviors Among Different Age Groups: Web-Based Cross-Sectional Study

Perception of Medication Safety–Related Behaviors Among Different Age Groups: Web-Based Cross-Sectional Study

After completing the survey, participants were asked to provide their demographic information (age, sex, race, ethnicity, education, and income) and number of chronic medical conditions. The study size was determined by targeting a minimum of 1000 participants to ensure sufficient power to detect differences between age groups. This target was based on previous studies in the field that used similar methodologies and sample sizes to achieve robust statistical power and generalizability of findings [40,41].

Yan Lang, Kay-Yut Chen, Yuan Zhou, Ludmila Kosmari, Kathryn Daniel, Ayse Gurses, Richard Young, Alicia Arbaje, Yan Xiao

Interact J Med Res 2024;13:e58635

Sleep Health Analysis Through Sleep Symptoms in 35,808 Individuals Across Age and Sex Differences: Comparative Symptom Network Study

Sleep Health Analysis Through Sleep Symptoms in 35,808 Individuals Across Age and Sex Differences: Comparative Symptom Network Study

Good-quality sleep is important for overall health [9], but sleep is influenced both by age and by sex [10-12]. Sleep architecture evolves from birth to old age, with changes in the macro- and microstructure that are underpinned by neuroanatomical changes in both homeostatic and circadian systems [13].

Christophe Gauld, Sarah Hartley, Jean-Arthur Micoulaud-Franchi, Sylvie Royant-Parola

JMIR Public Health Surveill 2024;10:e51585