Motivation and Use of Telehealth Among People with Depression in the United States.

Introduction: The global mental health crisis, compounded by the challenges of the COVID-19 pandemic, underscores the urgent need for accessible mental health care solutions. Telehealth services have emerged as a promising technology to address barriers to access mental health services. However, population-based studies examining telehealth utilization among individuals with depression are limited.

"Urban-Satellite" estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors.

While numerous studies over the last decade have highlighted the important influence of environmental factors on mental health, globally applicable data on physical surroundings are still limited. Access to such data and the possibility to link them to epidemiological studies is critical to unlocking the relationship of environment, brain and behaviour and promoting positive future mental health outcomes. The Adolescent Brain Cognitive Development (ABCD) Study is the largest ongoing longitudinal and observational study exploring brain development and child health among children from 21 sites across the United States.

Use of Assistive Technology for Persons with Psychosocial Disability: Systematic Review.

Background: Assistive technology (AT) refers to assistive products (AP) and associated systems and services that are relevant for function, independence, well-being, and quality of life for individuals with disabilities. There is a high unmet need for AT for persons with disabilities and this is worse for persons with cognitive and mental or psychosocial disabilities (PDs). Further, information and knowledge on AT for PDs is limited.

A systematic review for the impacts of global approaches to regulating electronic nicotine products.

Background: The rapid increase in electronic nicotine product (ENP) use among young people has been a global public health challenge, given the potential harm of ENPs and nicotine dependence. Many countries have recently introduced legislations to regulate ENPs, but the impacts of these policies are poorly understood. This systematic review aims to critically synthesise empirical studies on the effects of global regulations regarding ENPs on the prevalence of use, health outcomes and their determinants, using the 4A marketing mix framework (acceptability, affordability, accessibility and awareness).

Association of death or illness from COVID-19 among family and friends on vaccine uptake within four months of the Emergency Use Authorization. Findings from a national survey in the United States.

Objective: To examine the relationship between knowing that a friend or family member became ill with, or died from, COVID-19 and receiving a vaccine dose within four months of the FDA's Emergency Use Authorization.

Methods: A national sample of 1,517 respondents were surveyed from April 7 to April 12, 2021, 1,193 of whom were eligible for the vaccine when the data were collected.

Results: Respondents who knew someone who became ill with COVID-19 (AOR = 2.

Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.

Background: Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorithms to correctly classify neonates with a low Apgar scores from an imbalanced learning perspective.

Methods: We analyzed 7716 induced vaginal deliveries from the electronic birth registry of the Kilimanjaro Christian Medical Centre (KCMC).

Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania.

Objectives: We aimed at identifying the important variables for labour induction intervention and assessing the predictive performance of machine learning algorithms.

Setting: We analysed the birth registry data from a referral hospital in northern Tanzania. Since July 2000, every birth at this facility has been recorded in a specific database.

Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania.

Objective: The goal of this study was to establish the most efficient boosting method in predicting neonatal low Apgar scores following labor induction intervention and to assess whether resampling strategies would improve the predictive performance of the selected boosting algorithms.

Methods: A total of 7716 singleton births delivered from 2000 to 2015 were analyzed. Cesarean deliveries following labor induction, deliveries with abnormal presentation, and deliveries with missing Apgar score or delivery mode information were excluded.

Active commuting and the risk of obesity, hypertension and diabetes: a systematic review and meta-analysis of observational studies.

Active commuting may hold a potential for preventing adverse health outcomes. However, evidence of the association of active commuting and the risk of health outcomes remains debatable. The current study systematically and quantitatively summarised research findings on the association between active commuting and the risk of the mentioned health outcomes.

Quality of Novel Coronavirus Related Health Information over the Internet: An Evaluation Study.

Background: The novel coronavirus disease (COVID-19) has spread globally from its epicenter in Hubei, China, and was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. The most popular search engine worldwide is Google, and since March 2020, COVID-19 has been a global trending search term. Misinformation related to COVID-19 from these searches is a problem, and hence, it is of high importance to assess the quality of health information over the internet related to COVID-19.

The Association Between Substance Use and Violence: Results from a Nationally Representative Sample of High School Students in the United States.

With over 52% of high school students reporting that they have tried alcohol or illicit drugs, 16% carrying a weapon, and 23% engaging in a physical fight, substance use and youth violence remain critical public health challenges in the United States. Using data from the 2017 Youth Risk Behavior Survey, study results revealed that youth who reported heavy use of either alcohol, marijuana, or illicit drugs were three to ten times more likely to report carrying a weapon or engaging in a physical fight. Similarly, youth with heavy substance use were one and half times to 14 times more likely to be a victim of violence or sexual or dating violence.

Trends and best practices in health care cybersecurity insurance policy.

Health care organizations are a major target for cyberattacks. This is primarily due to their peculiar vulnerabilities and attractiveness to nefarious cyber actors. Data breaches from these attacks present a significant threat to the viability of health care organizations, ranging from financial losses to compromised patient safety.

Transforming Healthcare Cybersecurity from Reactive to Proactive: Current Status and Future Recommendations.

The recent rise in cybersecurity breaches in healthcare organizations has put patients' privacy at a higher risk of being exposed. Despite this threat and the additional danger posed by such incidents to patients' safety, as well as operational and financial threats to healthcare organizations, very few studies have systematically examined the cybersecurity threats in healthcare. To lay a firm foundation for healthcare organizations and policymakers in better understanding the complexity of the issue of cybersecurity, this study explores the major type of cybersecurity threats for healthcare organizations and explains the roles of the four major players (cyber attackers, cyber defenders, developers, and end-users) in cybersecurity.

Self-Check-In Kiosks Utilization and Their Association With Wait Times in Emergency Departments in the United States.

Background: Delayed care in emergency departments (EDs) is a serious problem in the United States. Patient wait time is considered a critical measure of delayed care in EDs. Several strategies have been employed by EDs to reduce wait time, including implementation of self-check-in kiosks.

Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions.

Background: Chronic medical conditions (CCs) are leading causes of morbidity and mortality in the United States. Strategies to control CCs include targeting unhealthy behaviors, often through the use of patient empowerment tools, such as mobile health (mHealth) technology. However, no conclusive evidence exists that mHealth applications (apps) are effective among individuals with CCs for chronic disease self-management.

Effects of the 2013 American College of Cardiology/American Heart Association guidelines on racial and ethnic disparities in statin treatment among diabetics.

Background: Significant racial and ethnic disparities in statin prescribing and utilization have been constantly documented.

Objective: To examine whether racial/ethnic disparities in statin treatment have decreased among the diabetic population after the release of the 2013 American College of Cardiology/American Heart Association (ACC/AHA) guidelines.

Methods: This retrospective study analyzed patients with diabetes aged 40-75 years old in the Medicare Expenditure Panel Survey (2011-2012 and 2014-2015).

The Role of Gender in Cost-Related Medication Nonadherence Among Patients with Diabetes.

Objective: Under 50% of type 2 diabetic patients achieve the recommended glycemic control. One barrier to glycemic control is patients' cost-related nonadherence to medications. We hypothesize gender differences in medication nonadherence due to costs among diabetic patients.

Zika Virus infection and microcephaly: anxiety burden for women.

The re-emergence of Zika virus in Brazil and other contiguous countries is a source of anxiety for pregnant women on account of its association with microcephaly. Adverse pregnancy outcome has huge mental health implications. It is essential for health providers to incorporate psychosocial care as part of pre and postnatal care for women in all countries affected by the Zika virus infection.

Mobile Health Application and e-Health Literacy: Opportunities and Concerns for Cancer Patients and Caregivers.

Health literacy is critical for cancer patients as they must understand complex procedures or treatment options. Caregivers' health literacy also plays a crucial role in caring for cancer patients. Low health literacy is associated with low adherence to medications, poor health status, and increased health care costs.

Access to Employee Wellness Programs and Use of Preventive Care Services Among U.S. Adults.

Introduction: There is little research at the national level on access to employee wellness programs and the use of preventive care services. This study examined the use of seven preventive care services among U.S working adults with access to employee wellness programs.