Journal of Medical Internet Research

To date, no studies have examined adherence to the 2018 Physical Activity Guidelines for Americans (PAGA) in real-world longitudinal settings using objectively measured activity monitoring data. This study addresses this gap by using commercial activity monitoring (Fitbit) data from the All of Us dataset.

Fibromyalgia is a chronic pain condition characterized by widespread musculoskeletal pain, fatigue, and cognitive difficulties, affecting individuals across all age groups. Positive affect (PA) interventions have shown promise in enhancing emotional well-being and pain management in patients with diverse chronic pain conditions. However, the efficacy of internet-delivered PA interventions for individuals with fibromyalgia remains understudied.

Citizen science is a community-based participatory research approach with an emphasis on addressing health disparities that is increasingly advocated by the community, researchers, and research funders. Digitally enabled methods can extend the potential of citizen science by enabling citizens to engage in real-time research processes, such as data collection, information sharing, interpreting, acting on data, and informing decision-making. However, the power of any citizen science lies in promoting health equity by providing equal opportunity for citizen engagement. Without appropriate attention to recognize and address equity, digital enablement of citizen science may exacerbate rather than ameliorate health inequalities. In this Viewpoint, we draw on our digital health research experience and perspectives to outline the practice of citizen science in the context of digital health—how it is operationalized, key advocated principles, and challenges. We also discuss citizen science in relation to health equity and implementation science, including emphasizing the importance of integrating health equity principles and frameworks, health equity implementation determinants, and digital determinants of health. We demonstrate how equity could be achieved by providing a working example in the context of a digitally enabled approach to improving social, physical, and mental well-being among people with disability and caregivers.

Numerous strategies for preventing abusive head trauma (AHT) have been proposed, but controlled studies failed to demonstrate their effectiveness. Digital tools may improve the effectiveness of AHT prevention strategies by reaching a large proportion of the adult population.

The proportion of very old adults in the population is increasing, representing a significant challenge. Due to their vulnerability, there is a higher frequency of unplanned hospitalizations in this population, leading to adverse events. Digital tools based on artificial intelligence (AI) can help to identify early signs of vulnerability and unfavorable health events and can contribute to earlier and optimized management.

The use of ecological momentary assessment (EMA) designs has been on the rise in mental health epidemiology. However, there is a lack of knowledge of the determinants of participation in and compliance with EMA studies, reliability of measures, and underreporting of methodological details and data quality indicators.

Families are often unsure how best to prepare dependent children for the death of a significant caregiver with a poor cancer prognosis and seek guidance and support from health care teams. Health and social care professionals (hereafter referred to as professionals) often lack educational opportunities to gain the desired knowledge, skills, and confidence to provide family-centered supportive cancer care. e-Learning has positively impacted access and reach, improving educational opportunities in health care.

Individuals identifying as Black, American Indian or Alaska Native, or Hispanic or Latino lack access to culturally appropriate accurate information and are the target of disinformation campaigns, which create doubt in science and health care providers and might play a role in sustaining health disparities related to the COVID-19 pandemic.

To promote sustained contributions by physicians to online health care communities, these platforms have introduced a content payment model that offers economic incentives for physicians’ online knowledge activities. However, the impact of these paid features on unpaid knowledge activities remains unexplored.

Miscarriage is a common experience, affecting 15% of recognized pregnancies, but societal ignorance and taboos often downplay the mental distress and personal impact following a miscarriage. Emerging stories on social media in which women express their miscarriage grief are breaking such taboos. Research in the area of online health communities is increasingly focused on studying how people share their health experiences on social media. However, a clear understanding on the social support involved in this type of sharing of health experiences is lacking.

In recent decades, physical activity intervention programs have been developed to reduce overweight and obesity in adolescents. However, this population is considered hard to reach in physical activity programs due to lack of adherence and poor results. Interventions with mobile phones in the adolescent population with normal weight have shown benefits, so this line of research may provide benefits in adolescents with overweight or obesity, although it has not yet been explored in the scientific literature.

Web-based experimentation, accelerated by the COVID-19 pandemic, has enabled large-scale participant recruitment and data collection. Auditory testing on the web has shown promise but faces challenges such as uncontrolled environments and verifying headphone use. Prior studies have successfully replicated auditory experiments but often involved younger participants, limiting the generalizability to older adults with varying hearing abilities. This study explores the feasibility of conducting reliable auditory cognitive testing using a web-based platform, especially among older adults.