Examining health apps and wearable use in improving physical and mental well-being across U.S., China, and Singapore.

Health apps and wearables are touted to improve physical health and mental well-being. However, it is unclear from existing research the extent to which these health technologies are efficacious in improving physical and mental well-being at a population level, particularly for the underserved groups from the perspective of health equity and social determinants. Also, it is unclear if the relationship between health apps and wearables use and physical and mental well-being differs across individualistic, collectivistic, and a mix of individual-collectivistic cultures. A large-scale online survey was conducted in the U.S. (individualist culture), China (collectivist culture), and Singapore (mix of individual-collectivist culture) using quota sampling after obtaining ethical approval from the Institutional Review Board (IRB-2021-262) of Nanyang Technological University (NTU), Singapore. There was a total of 1004 respondents from the U.S., 1072 from China, and 1017 from Singapore. Data were analyzed using multiple regression and negative binomial regression. The study found that income consistently had the strongest relationship with physical and mental well-being measures in all three countries, while the use of health apps and wearables only had a moderate association with psychological well-being only in the US. Health apps and wearables were associated with the number of times people spent exercising and some mental health outcomes in China and Singapore, but they were only positively associated with psychological well-being in the US. The study emphasizes the importance of considering the social determinants, social-cultural context of the population, and the facilitating conditions for the effective use of digital health technologies. The study suggests that the combined use of both health apps and wearables is most strongly associated with better physical and mental health, though this association is less pronounced when individuals use only apps or wearables.

Addressing Data Absenteeism and Technology Chauvinism in the Use of Gamified Wearable Gloves Among Older Adults: Moderated Usability Study.

BACKGROUND: Digital health technologies have the potential to improve health outcomes for older adults, especially for those recovering from stroke. However, there are challenges to developing these technologies, such as data absenteeism (where older adults' views are often underrepresented in research and development) and technology chauvinism (the belief that sophisticated technology alone is the panacea to addressing health problems), which hinder their effectiveness. OBJECTIVE: In this study, we aimed to address these challenges by developing a wearable glove integrated with culturally relevant exergames to motivate older adults to exercise and, for those recovering from stroke, to adhere to rehabilitation. METHODS: We conducted a moderated usability study with 19 older adults, of which 11 (58%) had a history of stroke. Our participants engaged in a 30-minute gameplay session with the wearable glove integrated with exergames, followed by a quantitative survey and an in-depth interview. We used descriptive analysis to compare responses to the System Usability Scale between those who had a history of stroke and those who did not. In addition, we analyzed the qualitative interviews using a bottom-up thematic analysis to identify key themes related to the motivations and barriers regarding the use of wearable gloves for rehabilitation and exercise. RESULTS: Our study generated several key insights. First, making the exergames exciting and challenging could improve exercise and rehabilitation motivation, but it could also have a boomerang effect, where participants may become demotivated if the games were very challenging. Second, the comfort and ease of use of the wearable gloves were important for older adults, regardless of their stroke history. Third, for older adults with a history of stroke, the functionality and purpose of the wearable glove were important in helping them with specific exercise movements. CONCLUSIONS: Our findings highlight the importance of providing contextual support for the effective use of digital technologies, particularly for older adults recovering from stroke. In addition to technology and usability factors, other contextual factors such as gamification and social support (from occupational therapists or caregivers) should be considered to provide a comprehensive approach to addressing health problems. To overcome data absenteeism and technology chauvinism, it is important to develop digital health technologies that are tailored to the needs of underserved communities. Our study provides valuable insights for the development of digital health technologies that can motivate older adults recovering from stroke to exercise and adhere to rehabilitation.

The Roles of Trust in Government and Sense of Community in the COVID-19 Contact Tracing Privacy Calculus: Mixed Method Study Using a 2-Wave Survey and In-Depth Interviews.

BACKGROUND: Contact tracing technology has been adopted in many countries to aid in identifying, evaluating, and handling individuals who have had contact with those infected with COVID-19. Singapore was among the countries that actively implemented the government-led contact tracing program known as TraceTogether. Despite the benefits the contact tracing program could provide to individuals and the community, privacy issues were a significant barrier to individuals' acceptance of the program. OBJECTIVE: Building on the privacy calculus model, this study investigates how the perceptions of the 2 key groups (ie, government and community members) involved in the digital contact tracing factor into individuals' privacy calculus of digital contact tracing. METHODS: Using a mixed method approach, we conducted (1) a 2-wave survey (n=674) and (2) in-depth interviews (n=12) with TraceTogether users in Singapore. Using structural equation modeling, this study investigated how trust in the government and the sense of community exhibited by individuals during the early stage of implementation (time 1) predicted privacy concerns, perceived benefits, and future use intentions, measured after the program was fully implemented (time 2). Expanding on the survey results, this study conducted one-on-one interviews to gain in-depth insights into the privacy considerations involved in digital contact tracing. RESULTS: The results from the survey showed that trust in the government increased perceived benefits while decreasing privacy concerns regarding the use of TraceTogether. Furthermore, individuals who felt a connection to community members by participating in the program (ie, the sense of community) were more inclined to believe in its benefits. The sense of community also played a moderating role in the influence of government trust on perceived benefits. Follow-up in-depth interviews highlighted that having a sense of control over information and transparency in the government's data management were crucial factors in privacy considerations. The interviews also highlighted surveillance as the most prevalent aspect of privacy concerns regarding TraceTogether use. In addition, our findings revealed that trust in the government, particularly the perceived transparency of government actions, was most strongly associated with concerns regarding the secondary use of data. CONCLUSIONS: Using a mixed method approach involving a 2-wave survey and in-depth interview data, we expanded our understanding of privacy decisions and the privacy calculus in the context of digital contact tracing. The opposite influences of privacy concerns and perceived benefit on use intention suggest that the privacy calculus in TraceTogether might be viewed as a rational process of weighing between privacy risks and use benefits to make an uptake decision. However, our study demonstrated that existing perceptions toward the provider and the government in the contact tracing context, as well as the perception of the community triggered by TraceTogether use, may bias user appraisals of privacy risks and the benefits of contact tracing.

Efficacy of Bowel Regimen in Decreasing Postoperative Constipation in Bariatric Surgery Patients.

PURPOSE: Postoperative constipation after bariatric surgery is a common complaint, decreasing patient quality of life. No literature exists examining the efficacy of a preoperative bowel regimen in reducing postoperative constipation in this cohort. This study aims explore the efficacy of a well-established bowel regimen, polyethylene glycol (PEG), in reducing constipation frequency and severity after bariatric surgery. METHODS: This was a retrospective study of adult patients undergoing primary and revisional bariatric procedures. The use of PEG bowel prep for bariatric patients was introduced as an institutional quality improvement measure. Patients during the first 3 months after PEG implementation were surveyed for postoperative constipation. For the year after implementation, patients were followed for 30-day emergency room visits or hospitalization secondary to constipation. This cohort was compared to historical controls from the previous year. Student t-tests were used for statistical analysis. RESULTS: During the 3-month exploratory phase, 28/49 (57.14%) patients fully completed the bowel regimen. In total, 0/56 (0%) patients reported preoperative constipation, and 5/28 (17.9%) patients reported constipation at the 3-week follow-up. In the 1 year post-implementation cohort, 2/234 (0.85%) patients had constipation-related occurrences at 30-day follow-up, compared to 8/219 patients (3.65%) in the historical cohort (p = 0.04). CONCLUSIONS: The implementation of a PEG-based bowel regimen did not eliminate self-reported constipation. However, there were significant differences in rates of constipation-related ED visits and hospital readmissions, suggesting that the bowel regimen decreases rates of severe constipation. Finally, patient compliance was limited. Future work should aim towards increasing compliance.

Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework.

Drawing upon the social amplification of risk (SARF) and the issue-attention cycle framework, we examined the amplification of COVID-19 risk-related tweets through (a) topics: key interests of discussion; (b) temperament: emotions of tweets; (c) topography (i.e., location); and (d) temporality (i.e., over time). We computationally analyzed 1,641,273 tweets, and conducted manual content analysis on a subset of 6,000 tweets to identify how topics, temperament, and topography of COVID-19 tweets were associated with risk amplification - retweet and favorite count - using negative binomial regression. We found 11 dominant COVID-19 topics-health impact, economic impact, reports of lockdowns, report of new cases, the need to stay home, coping with COVID-19, news about President Trump, government support, fight with COVID-19 by non-government entities, origins, and preventive measure in our corpus of tweets across the issue-attention cycle. The negative binomial regression results showed that at the pre-problem stage, topics on President Trump, speculation of origins, and initiatives to fight COVID-19 by non-government entities were most likely to be amplified, underscoring the inherent politicization of COVID-19 and erosion of trust in governments from the start of the pandemic. We also found that while tweets with negative emotions were consistently amplified throughout the issue-attention cycle, surprisingly tweets with positive emotions were amplified during the height of the pandemic - this counter-intuitive finding indicated signs of premature and misplaced optimism. Finally, our results showed that the locations of COVID-19 tweet amplification corresponded to the shifting COVID-19 hotspots across different continents across the issue-attention cycle. Theoretical and practical implications of risk amplification on social media are discussed.

Examining Antecedents of Factual Knowledge and Perceived Familiarity of COVID-19 Contact Tracing App: A Modified Cognitive Mediation Model.

This study employs a modified cognitive mediation model to investigate the role of health valuation and fear in shaping media attention, factual knowledge, and perceived familiarity with COVID-19 contact tracing apps. Data were collected from a national survey of 906 Singaporeans, and structural equation modeling was used to analyze the results. Findings indicated that both fear of COVID-19 and health valuation were positively associated with newspapers, television, and social media attention, with health valuation demonstrating a stronger association with each media type. This suggests that health valuation, as an intrinsic motivation, is more critical in information-seeking behavior related to emerging health technologies. However, media attention on all platforms did not correlate with factual knowledge of COVID-19 contact tracing apps, whereas attention to social media was positively associated with perceived familiarity with these apps. This result highlights the potential influence of social media in shaping public perceptions, warranting further investigation into the quality and accuracy of the information disseminated. News elaboration was found to have a positive association with both factual knowledge and perceived familiarity with COVID-19 contact tracing apps. This underscores the need for effective communication strategies to promote accurate understanding of health technologies and emphasizes the role of individual motivations in shaping media consumption and information processing.

Examining Theoretical Frameworks and Antecedents of Health Apps and Wearables Use: A Scoping Review.

The advancement of health apps and wearables has garnered substantial academic attention, particularly in examining why individuals decide to use or not use them. In response to the extensive body of research on this topic, we conducted a scoping review of 61 articles published from 2007 to 2022, aiming to examine the dominant theoretical frameworks and antecedents of health apps and wearables use. The findings demonstrated that the dominant theoretical frameworks within this domain were rooted in the human-computer interaction theories, notably the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. Next, our review identified four levels of antecedents: technological, individual, societal, and policy. At the technological level, emphasis was placed on functionality, reliability, and technological infrastructure. Individual antecedents encompassed socio-demographics, personality traits, cognitive responses to benefits and risks, emotional and affective responses, self-efficacy, and digital literacy. Societal antecedents highlighted the role of social networks and social norms, while policy antecedents elaborated on laws, regulations, and guidelines that encouraged health technology adoption. Our discussion illuminated that the evolving trend of theoretical frameworks in health apps and wearables use research, initially rooted in human-computer interaction, is progressively moving toward more comprehensive perspectives. We further underscored the importance of delving into societal and policy antecedents, which often are overshadowed by the more commonly discussed technological and individual factors. In conclusion, we advocated for a multi-stakeholder collaborative network approach, as this would enable communication researchers to understand the use of health apps and wearables more comprehensively.

Pharmacokinetics and Absorption, Distribution, Metabolism and Excretion of RGLS4326 in Mouse and Monkey, an Anti-miR-17 Oligonucleotide for the Treatment of Polycystic Kidney Disease.

RGLS4326 is a short oligonucleotide inhibitor of microRNA-17 (miR-17) that preferentially distributes to the kidney and displaces miR-17 from translationally active polysomes. Here, we present pharmacokinetics and absorption, distribution, metabolism, and excretion properties of RGLS4326 from mice and monkeys. RGLS4326 was absorbed rapidly after subcutaneous administration, distributed extensively to the kidney and liver, with preferential distribution to the kidney, and cleared rapidly from plasma by tissue uptake and renal excretion. Plasma exposure increased in a dose-proportional manner with no notable accumulation after repeat doses. Plasma protein binding of RGLS4326 across all species tested was between 79% and 96%. RGLS4326 predominantly distributed to the kidney with a long half-life (t1/2; t1/2 ranged from 8-11 days) and no marked (≤twofold) accumulation in kidney and liver after repeat doses. RGLS4326 was minimally metabolized by nucleases, not cytochrome P450 (P450) isozymes, across species and underwent sequential hydrolysis from both 3' and 5' ends to produce chain-shortened metabolites. There were no human unique metabolites observed. Renal excretion was the major route of elimination of RGLS4326, and a significant fraction (50%-79%) of the dose was recovered intact in the urine of mice and monkeys across all dose levels. RGLS4326 is not a substrate, inhibitor, or inducer of P450 isozymes, and it is not a substrate or inhibitor of uptake and most efflux transporters. Thus, RGLS4326 exhibits low potential of mediating drug-drug interactions involving P450 isozymes and drug transporters. SIGNIFICANCE STATEMENT: Pharmacokinetics (PK) and absorption, distribution, metabolism, and excretion (ADME) properties of RGLS4326 were characterized in vivo and in vitro. RGLS4326 shows similar PK and ADME properties across mice and monkeys in vivo and across human and animal matrices in vitro. Subcutaneous administration results in preferential exposure of RGLS4326 to the intended target organ (kidney) to drive maximum target engagement. These studies support the interpretation of toxicology and efficacy studies and help characterize the disposition of RGLS4326 in humans.

Exploring the Incentive Function of Virtual Academic Degrees in a Chinese Online Smoking Cessation Community: Qualitative Content Analysis.

BACKGROUND: Previous studies on online smoking cessation communities (OSCCs) have shown how such networks contribute to members' health outcomes from behavior influence and social support perspectives. However, these studies rarely considered the incentive function of OSCCs. One of the ways OSCCs motivate smoking cessation behaviors is through digital incentives. OBJECTIVE: This study aims to explore the incentive function of a novel digital incentive in a Chinese OSCC-the awarding of academic degrees-to promote smoking cessation. It specifically focuses on "Smoking Cessation Bar," an OSCC in the popular web-based Chinese forum Baidu Tieba. METHODS: We collected discussions about the virtual academic degrees (N= 1193) from 540 members of the "Smoking Cessation Bar." The time frame of the data set was from November 15, 2012, to November 3, 2021. Drawing upon motivational affordances theory, 2 coders qualitatively coded the data. RESULTS: We identified five key topics of discussion, including members' (1) intention to get virtual academic degrees (n=38, 2.47%), (2) action to apply for the degrees (n=312, 20.27%), (3) feedback on the accomplishment of goals (n=203, 13.19%), (4) interpersonal interaction (n=794, 51.59%), and (5) expression of personal feelings (n=192, 12.48%). Most notably, the results identified underlying social and psychological motivations behind using the forum to discuss obtaining academic degrees for smoking cessation. Specifically, members were found to engage in sharing behavior (n=423, 27.49%) over other forms of interaction such as providing recommendations or encouragement. Moreover, expressions of personal feelings about achieving degrees were generally positive. It was possible that members hid their negative feelings (such as doubt, carelessness, and dislike) in the discussion. CONCLUSIONS: The virtual academic degrees in the OSCC created opportunities for self-presentation for participants. They also improved their self-efficacy to persist in smoking cessation by providing progressive challenges. They served as social bonds connecting different community members, triggering interpersonal interactions, and inducing positive feelings. They also helped realize members' desire to influence or to be influenced by others. Similar nonfinancial rewards could be adopted in various smoking cessation projects to enhance participation and sustainability.

From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media.

This study examines the proliferation of COVID-19 misinformation through Plandemic-a pseudo-documentary of COVID-19 conspiracy theories-on social media and examines how factors such as (a) themes of misinformation, (b) types of misinformation, (c) sources of misinformation, (d) emotions of misinformation, and (e) fact-checking labels amplify or attenuate online misinformation during the early days of the pandemic. Using CrowdTangle, a Facebook API, we collected a total of 5732 publicly available Facebook pages posts containing Plandemic-related keywords from January 1 to December 19, 2020. A random sample of 600 posts was subsequently coded, and the data were analyzed using negative binomial regression to examine factors associated with amplification and attenuation. Overall, the extended an extended Social Amplification of Risk Framework (SARF) provided a theoretical lens to understand why certain misinformation was amplified, while others were attenuated. As for posts with misinformation, results showed that themes related to private firms, treatment and prevention of virus transmission, diagnosis and health impacts, virus origins, and social impact were more likely to be amplified. While the different types of misinformation (manipulated, fabricated, or satire) and emotions were not associated with amplification, the type of fact-check labels did influence the virality of misinformation. Specifically, posts that were flagged as false by Facebook were more likely to be amplified, while the virality of posts flagged as containing partially false information was attenuated. Theoretical and practical implications were discussed.

Diabetes Mellitus Remission in Patients with BMI > 50 kg/m2 after Bariatric Surgeries: A Real-World Multi-Centered Study.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a common comorbidity associated with obesity, particularly in patients with body mass index (BMI) ≥ 50 kg/m2. We aim to study real-world T2DM long-term remission in patients with BMI ≥ 50 kg/m2 following Roux-En-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). METHODS: This was a retrospective study of the electronic medical records of all patients with BMI ≥ 50 kg/m2, T2DM, and have undergone RYGB or SG at three tertiary referral centers in the United States. We assessed the change in T2DM outcomes after bariatric surgery using a matched paired t-test for continuous variables and Bowker and Pearson test for categorical variables. We performed a multivariate logistic regression to determine predictors of remission. RESULTS: A total of 279 patients with T2DM (65% females, mean age 51.0 ± 11.7 years, 89% white, BMI 56.6 ± 5.9 kg/m2) were analyzed. Long-term T2DM remission (≥ 5 years) was demonstrated in 47% of patients. The duration of T2DM (p < 0.0001), number of T2DM medications (p = 0.003) and weight loss (p = 0.048) were the only independent factors for long-term T2DM remission. CONCLUSIONS: In this cohort of patients with BMI ≥ 50 kg/m2, RYGB and SG demonstrated significant and similar long-term T2DM remission rates and weight loss outcomes.

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults.

BACKGROUND: Understanding older people's health-seeking behavior (HSB) is crucial for uncovering their health needs and priorities and developing appropriate policies to address them and avert their disease progression. Technologies play an active role in our daily lives and have been incorporated into health activities to support the older population and facilitate their HSB. However, previous studies of HSB have mainly focused on behaviors during illness, and there are limited studies on how technologies have been used in older people's health-seeking activities. OBJECTIVE: This study aimed to investigate HSB and the associated technology use among the older population, ultimately proposing implications for practice to address their unmet health needs. METHODS: This paper presents partial data from a large qualitative study, which has been approved by the institutional review board and used a phenomenological approach. Semistructured interviews were conducted between April 2022 and July 2022, either via Zoom (Zoom Video Communications Inc) or face-to-face sessions. Inclusion criteria were being aged ≥50 years, long-term residence in Singapore, and being able to speak English or Mandarin. The interviews were manually transcribed verbatim, and thematic analysis was performed, with the individual as the unit of analysis to understand the patterns of behaviors. RESULTS: In total, 15 interviews were conducted to reach thematic saturation. We identified 5 main consequences of HSB, which were aligned with the original HSB model. Regarding technology use in health seeking, 4 themes were extracted: the most widely used digital technologies are the mobile health apps and wearable devices with the associated wellness programs launched by the government and local companies, and they have the potential to enhance health communication, promote health maintenance, and increase access to health services; information communication technologies and social media, though not primarily designed for health purposes, play a substantial role in easing the process of seeking health information and managing symptoms. Although the outbreak of the COVID-19 pandemic has resulted in some alterations to older adults' well-being, it has catalyzed the adoption of telehealth as a complement to access health care services, and older adults have different considerations when selecting technologies to facilitate their health seeking and fulfill their health needs. Moreover, 4 archetypes were proposed based on our findings and the insights gained from our participants' observations in their social networks. These findings led to several implications for practice regarding health communication and promotion, health education, technology design and improvement, telemonitoring service implementation, and solutions to address the needs of each proposed archetype. CONCLUSIONS: Unlike the commonly held belief that older adults resist technologies and lack technological proficiency, our findings showed that technologies could play a promising role in facilitating older adults' health seeking. Our findings have implications for the design and implementation of health services and policies.

Social media may hinder learning about science; social media's role in learning about COVID-19.

Despite widespread concerns that misinformation is rampant on social media, little systematic and empirical research has been conducted on whether and how news consumption via social media affects people's accurate knowledge about COVID-19. Against this background, this study examines the causal effects of social media use on COVID-19 knowledge (i.e., both in the form of factual knowledge and misinformation detection) as well as the underlying mechanisms through which such effects occur. Based on original panel survey data across six weeks (W1 N = 1,363, W2 N = 752) in the U.S., we found that consuming news from social media fostered the perception that one need not actively seek news anymore because it would reach them anyway through their social connections (i.e., "news-finds-me" perception). This, in turn, can make one both uninformed and misinformed about COVID-19 issues. Furthermore, this mediated relationship is stronger among those who experience higher levels of information overload while on social media.

Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication.

This study aims to extend the infodemiology framework by postulating that effective use of digital data sources for cancer communication should consider four components: (a) content: key topics that people are concerned with, (b) congruence: how interest in cancer topics differ between public posts (i.e., tweets) and private web searches, (c) context: the influence of the information environment, and (d) information conduits. We compared tweets (n = 36, 968) and Google web searches on breast, lung, and prostate cancer between the National Cancer Prevention Month and a non-cancer awareness month in 2018. There are three key findings. First, reliance on public tweets alone may result in lost opportunities to identify potential cancer misinformation detected from private web searches. Second, lung cancer tweets were most sensitive to external information environment - tweets became substantially pessimistic after the end of cancer awareness month. Finally, the cancer communication landscape was largely democratized, with no prominent conduits dominating conversations on Twitter.

PKD1 and PKD2 mRNA cis-inhibition drives polycystic kidney disease progression.

Autosomal dominant polycystic kidney disease (ADPKD), among the most common human genetic conditions and a frequent etiology of kidney failure, is primarily caused by heterozygous PKD1 mutations. Kidney cyst formation occurs when PKD1 dosage falls below a critical threshold. However, no framework exists to harness the remaining allele or reverse PKD1 decline. Here, we show that mRNAs produced by the noninactivated PKD1 allele are repressed via their 3'-UTR miR-17 binding element. Eliminating this motif (Pkd1∆17) improves mRNA stability, raises Polycystin-1 levels, and alleviates cyst growth in cellular, ex vivo, and mouse PKD models. Remarkably, Pkd2 is also inhibited via its 3'-UTR miR-17 motif, and Pkd2∆17-induced Polycystin-2 derepression retards cyst growth in Pkd1-mutant models. Moreover, acutely blocking Pkd1/2 cis-inhibition, including after cyst onset, attenuates murine PKD. Finally, modeling PKD1∆17 or PKD2∆17 alleles in patient-derived primary ADPKD cultures leads to smaller cysts, reduced proliferation, lower pCreb1 expression, and improved mitochondrial membrane potential. Thus, evading 3'-UTR cis-interference and enhancing PKD1/2 mRNA translation is a potentially mutation-agnostic ADPKD-arresting approach.

Perceived Information Distortion about COVID-19 Vaccination and Addictive Social Media Use among Social Media Users in Hong Kong: The Moderating Roles of Functional Literacy and Critical Literacy.

During the COVID-19 pandemic, distorted information about the COVID-19 vaccination is widely disseminated through social media. The present study examined the association between perceived information distortion about COVID-19 vaccination on social media, individuals' functional and critical literacy, and addictive social media use (SMU), as well as the moderating roles of functional and critical literacy in the association between perceived information distortion and addictive SMU among social media users in Hong Kong. A web-based, cross-sectional survey was conducted among 411 Chinese citizens from June to August 2021. Findings showed that after adjusting for significant background variables, including age, gender, marital status, education, occupation, and income, functional literacy was negatively associated with addictive SMU. In addition, significant moderation effects of functional literacy and critical literacy were also observed, such that a positive association between perceived information distortion on social media and addictive SMU was significant among participants with lower functional literacy or higher critical literacy. Findings highlight the importance of improving functional literacy in addictive SMU prevention for social media users. Special attention should also be paid to the potential influence of critical literacy on addictive SMUs.

Infectious diseases prevention and control using an integrated health big data system in China.

BACKGROUND: The Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled health data from healthcare providers to combat the spread of infectious diseases, such as dengue fever and pulmonary tuberculosis (TB), and to identify gaps in vaccination uptake among migrant children. METHODS: IHBDP is composed of medical data from clinics, electronic health records, residents' annual medical checkup and immunization records, as well as administrative data, such as student registries. We programmed IHBDP to automatically scan for and detect dengue and TB carriers, as well as identify migrant children with incomplete immunization according to a comprehensive set of screening criteria developed by public health and medical experts. We compared the effectiveness of the big data screening with existing traditional screening methods. RESULTS: IHBDP successfully identified six cases of dengue out of a pool of 3972 suspected cases, whereas the traditional method only identified four cases (which were also detected by IHBDP). For TB, IHBDP identified 288 suspected cases from a total of 43,521 university students, in which three cases were eventually confirmed to be TB carriers through subsequent follow up CT or T-SPOT.TB tests. As for immunization screenings, IHBDP identified 240 migrant children with incomplete immunization, but the traditional door-to-door screening method only identified 20 ones. CONCLUSIONS: Our study has demonstrated the effectiveness of using IHBDP to detect both acute and chronic infectious disease patients and identify children with incomplete immunization as compared to traditional screening methods.

Evaluation of a six-probe cocktail (caffeine, tolbutamide, omeprazole, dextromethorphan, midazolam, and digoxin) approach to estimate hepatic drug detoxification capability and dosage requirements after a single oral dosing in healthy Chinese volunteers.

The primary objectives of this study were to investigate the suitability of a 6-probe cocktail (caffeine, tolbutamide, omeprazole, dextromethorphan, midazolam, and digoxin) to be used as a tool for assessing the activity of drug metabolizing enzymes and transporters, and examine differences in the way drugs are handled among groups with different genetic regulation of these processes. This was a single-center, open-label, phase I clinical study involving 20 young, healthy Chinese volunteers (equal gender distribution). The subjects were administered a single, oral dose of the 6-probe cocktail and serum samples were collected to assess the disposition of the different probe substrates and produced metabolites. The serum samples were analyzed using ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry technology. The DNA samples were subjected to whole exome sequencing. Nineteen healthy volunteers completed the study. The 6-probe cocktail was safe and well-tolerated by all the subjects. The parent substrates and metabolites-caffeine (paraxanthine), dextromethorphan (dextrorphan), digoxin, midazolam (1-hydroxy-midazolam), omeprazole (5-hydroxy-omeprazole), and tolbutamide (4-hydroxy-tolbutamide)-were within the detectable window. Genetic variations known to alter drug metabolism (CYP2D6*10, CYP2C19*2, CYP2C19*3, and CYP2C9*3) were identified and generally correlated with phenotypic status. The 6-probe cocktail appeared to be suitable for assessing drug metabolizing activities. This, in conjunction with individual genetics, will pave the way for the implementation of personalized medicine in clinical practice. This will hopefully improve efficacy and reduce the incidence of adverse drug reactions.