A four-year longitudinal analysis examining the effects of e-cigarette advertisements and disparities among youth with internalizing problems.

BACKGROUND: Prior research indicates a direct, short-term effect of e-cigarette advertising on e-cigarette use among youth. This study seeks to investigate the long-term effects of e-cigarette advertisements and disparities in exposure among adolescents with different levels of internalizing problems. METHODS: Panel data of the Population Assessment of Tobacco and Health (PATH) Study Waves 3-5 (2015-2019) were analyzed. Youth aged 12-17 who were non-e-cigarette users at the time of Wave 3 were included (n = 4,678). A moderated mediation model was employed to examine the mediating role of perceived harm of e-cigarettes and the moderating effect of internalizing problems. RESULTS: Exposure to e-cigarette advertisements in Wave 3 predicted lower harm perception of e-cigarette in Wave 4 (bp = -0.055, p <.01), leading to more e-cigarette use in Wave 5 (bp = -0.042, p <.001). While e-cigarette advertisements exhibited a lasting indirect effect (bp = 0.002, p <.05), there was no long-term direct effect (bp = 0.017, p >.05) on youth e-cigarette use. Furthermore, a moderating effect of internalizing problems was observed (bp = 0.107, p <.05). CONCLUSIONS: E-cigarette advertisements can exert a lasting influence indirectly by diminishing harm perception, particularly among those with lower internalizing problems. Adolescents with higher internalizing problems exhibit lower susceptibility to advertisement influence, yet their perceived harm of e-cigarettes is notably lower than their peers with fewer internalizing problems. These disparities underscore the need for tailored prevention strategies: implementing anti-e-cigarette education programs for adolescents with low internalizing problems and providing mental health care for those facing internalizing challenges. Regulatory measures targeting e-cigarette advertising are also crucial.

How does patient-centered communication work? Trend analysis of mediation through cancer worry and health self-efficacy, 2011-2020.

This study proposed and tested the cross-sectional effects of patient-centered communication (PCC) on cancer screening behaviors via an affective-cognitive sequential chain of mediation through cancer worry and health self-efficacy. Cross-sectional data were analyzed from four iterations of the Health Information National Trends Survey (2011, 2014, 2017, and 2020). The results found that lowered cancer worry following PCC does not show a cross-sectional positive effect in promoting cancer screening behaviors, while enhanced health self-efficacy as a subsequent state is a facilitator of screening behaviors. The findings further demonstrated increased PCC, a rise in cancer worry, and a sustained level of health self-efficacy. Also, our research has identified an upward trend in cancer screening behaviors from 2011 to 2017, followed by a notable decrease in 2020. These insights underscore the nuanced ways PCC can foster cancer screening behaviors, emphasizing the importance of emotional and cognitive aspects in clinical settings.

Overcoming obstacles to mammography screening: Examining the role of offline healthcare barriers and online patient-provider communication.

Barriers to accessing offline healthcare may discourage patients from undergoing mammography screening. Online patient-provider communication (OPPC) offers a supplementary health resource that can complement traditional medical encounters and facilitate mammography screening. This study examines how offline healthcare barriers influence mammography screening, taking into account OPPC as an independent variable and cancer fatalism and patient activation as two mediators. Data from the 2017, 2018, and 2020 iterations of the Health Information National Trends Survey were used for this study. Results showed that OPPC was positively linked to mammography screening. Offline healthcare barriers had a negative association with patient activation and subsequent mammography behaviors. Moreover, offline healthcare barriers and OPPC were associated with mammography screening through serial mediation of cancer fatalism and patient activation. This study has important implications for encouraging mammography screening.

Communication Matters: The Role of Patient-Centered Communication in Improving Old Adults' Health Competence and Health Outcomes.

Research has demonstrated links between patient-centered communication (PCC) and patients' health outcomes. However, little is known about the underlying processes that may mediate the relationship. This study is one of the first to examine the influence of PCC on older adults' health outcomes, as well as the mediation role of health competence, from a longitudinal perspective. With a general basis of Street et al.'s pathway model, we proposed and tested mediation pathways linking patient-centered communication to the older population's general and mental health, mediated by health competence. Data from 2011, 2017 and 2020 iterations of the Health Information National Trends Survey (HINTS) were used for this study. This study focused on older adults aged 60 and above. Results indicated that after controlling participants' age, gender, education, income and race, PCC is related to the older people's health outcomes either directly or indirectly, irrespective of time series. Specifically, health competence was found to significantly mediate the associations between PCC and the older adults' general health or mental health over the three iterations. Noteworthily, findings from this study also revealed that different dimensions of PCC might exert different influences on older patients' health competence and health outcomes.

How does health communication on social media influence e-cigarette perception and use? A trend analysis from 2017 to 2020.

OBJECTIVE: E-cigarettes have achieved a high prevalence rapidly. While social media is among the most influential platforms for health communication, its impact on attitudes and behaviors of e-cigarettes and its changes over time remain underexplored. This study aims to address the gap. METHODS: Four years of data (2017-2020) were derived from the U.S. Health Information National Trends Survey (HINTS) (aged 18-64 years, n = 9,914). Initially, key variables were compared across years. Furthermore, guided by the health belief model, we employed a moderated mediation model to examine the influence of social media health communication on the public's perceptions and behaviors related to e-cigarettes, distinguishing between smokers and non-smokers throughout the four-year period. RESULTS: The evidence shows a process of dynamic interaction between communication, perception, and behavior. (1) We observed an increasing trend of social media health communication (SMH) and perceived relative harm of e-cigarettes (PHE). (2) Higher SMH was associated with more e-cigarette use directly in 2019. (3) Higher SMH was associated with less e-cigarette use indirectly through PHE in 2020. (4) Smokers consistently displayed heightened sensitivity in responding to harm perception compared to non-smokers. CONCLUSIONS: The findings support two mechanisms underlying the association between SMH and e-cigarette use: direct and indirect. The changes in the pathways during the timespan may have been influenced by increased e-cigarette information on social media and public health events like COVID-19. Stricter regulations for unverified e-cigarette advertisements and anti-e-cigarette education on social media are called for to curtail e-cigarette use.

Longitudinal relationship between social media and e-cigarette use among adolescents: the roles of internalizing problems and academic performance.

BACKGROUND: Prior research has investigated the influence of social media on e-cigarette use among adolescents, predominantly through the display of e-cigarette content and advertisements. However, the psychological mechanism underlying this relationship remains underexplored. This study aims to address the mediating effect of youths internalizing problems and elucidate the moderating effect of academic performance from a longitudinal perspective. METHODS: Panel data from the Public Assessment of Tobacco and Health (PATH) Study Waves 3-5 (2015-2019) were utilized in this study. The sample consisted of 3,975 youths between the ages of 12 and 17 years old. A moderated mediation model was utilized for analyses. RESULTS: Adolescents using social media more frequently in Wave 3 reported higher odds of internalizing problems in Wave 4 (bp = 0.061, p < .01), which led to more e-cigarette use in Wave 5 (bp = 0.029, p < .01). A negative moderating effect of academic performance was found in the association between internalizing problems and e-cigarette use (bp=-0.088, p < .05). CONCLUSIONS: Frequent social media use among young individuals leads to an increase in e-cigarette use through enhanced internalizing problems. However, adolescents who perform well academically exhibit higher resistance to e-cigarette use. Based on our findings, we recommend that tailored anti-e-cigarette campaigns and mental health interventions be used to target frequent social media users and academically struggling adolescents to prevent adverse health outcomes.

Social media and partnership jointly alleviate caregivers' psychological distress: exploring the effects of online and offline connectedness.

BACKGROUND: The prevalence of caregiving in the United States has increased from 16.6% to 19.2% during the period between 2015 and 2020. Caregivers play a critical public health role post-pandemic and as the population ages. However, caregiving can be detrimental to the health of caregivers. Many studies have shown that communication and connectedness are effective forms of health intervention for caregivers, but how this can be achieved requires further investigation. OBJECTIVE: This study aimed to investigate the indirect effect of caregiving on problems of alcohol drinking through psychological distress. Moreover, this study aimed to provide initial evidence of the distinct effects of online and offline communication and connectedness on caregivers' well-being. METHODS: The predictions were evaluated by examining responses to the Health Information National Trends Survey 2020 (n = 3,865). A mediation analysis was conducted to test the mediating effect of psychological distress on the association between caregiving and alcohol drinking. A second-level moderation analysis was performed. The online communication and connectedness, social media use for health, and the offline type, marital or romantic partnership, were tested as moderators to lessen the psychological distress of caregiving. RESULTS: A competitive mediation was identified. We found a positive indirect effect from caregiving to alcohol drinking mediated by psychological distress (bp = .0017, p < .05) but a negative direct effect from caregiving to alcohol drinking (bp = -.0340, p < .05). Furthermore, the study reported a strongly positive effect of moderated moderation on the linkage from caregiving to psychological distress. The negative impact of caregiving on mental distress was greater among those who used social media less, particularly those without a romantic or marital partner. CONCLUSIONS: The findings indicate that caregivers experience more mental distress, which leads to risky behavior. This study highlights the crucial role of both online and offline connectedness in mitigating the adverse consequences of caregiving.

Ehealth and lifestyle change: The mediating roles of social support and patient empowerment.

Objectives: The purpose of this study was to investigate the impact of eHealth, the use of information and communications technologies to improve or enable health and health care, on lifestyle behaviors through social support and patient empowerment as serial mediators. Methods: We conducted an anonymous online survey of 29 items in October 2019 to assess Chinese people's eHealth activities (i.e. engaging in online health-related activities), social support (including emotional and instrumental support) and patient empowerment, for a lifestyle change. A total of 681 respondents aged 18 or above (49.9% males) with an average age of 30.8 completed the survey. Results: Social support (including emotional and instrumental support) and patient empowerment were found to be salient mediators between eHealth and lifestyle behaviors. Specifically, engaging in eHealth activities can improve both perceived emotional support and instrumental support from care networks, of which both would increase patient empowerment, which subsequently prompted healthy lifestyle behaviors (ß = .01, confidence interval (CI): [.003, .013] for emotional support as the first mediator; ß < .01, CI: [.003, .010] for instrumental support as the first mediator). However, the results showed that engaging in eHealth activities was not directly associated with a healthy lifestyle (ß = .01, p = .65). Conclusions: Our findings suggest that eHealth is effective and useful to drive people into action to develop healthy lifestyle behaviors. Particularly, by providing multiple potential sources of social support, eHealth will promote both emotional support and instrumental support, which is vital to increase patient empowerment, and eventually leads to healthy lifestyle behaviors.

Effects of electronic personal health information technology on American women's cancer screening behaviors mediated through cancer worry: Differences and similarities between 2017 and 2020.

Backgrounds: Thanks to their accessibility and low cost, electronic personal health information (ePHI) technologies have been widely used to facilitate patient-physician communication and promote health prevention behaviors (e.g. cancer screening). Despite that empirical evidence has supported the association between ePHI technology use and cancer screening behaviors, the underlying mechanism through which ePHI technology use influences cancer screening behaviors remains a topic of discussion. Objective: This study investigates the relationship between ePHI technology uses and cancer screening behaviors of American women and examines the mediating role of cancer worry. Methods: Data for this study were from the Health Information National Trends Survey (HINTS) collected in 2017 (HINTS 5 Cycle 1) and 2020 (HINTS 5 Cycle 4). The final sample included 1914 female respondents in HINTS 5 Cycle 1 and 2204 in HINTS 5 Cycle 4. Mann-Whitney U test, two-sample t-test, and mediation analysis were performed. We also referred to the regression coefficients generated by min-max normalization as percentage coefficients (bp) for the comparison. Results: This study reports increased usage of ePHI technologies (from 1.41 in 2017 to 2.19 to 2020), increased cancer worry (from 2.60 in 2017 to 2.84 in 2020), and a stable level of cancer screening behaviors (from 1.44 in 2017 to 1.34 in 2020) among American women. Cancer worry was found to mediate the ePHI effect on cancer screening behaviors (bp = 0.005, 95% confidence interval [0.001, 0.010]) in a positive complementary mediation in 2020. Conclusions: The research findings support a positive association between ePHI technology use and cancer screening behaviors, and cancer worry has been identified as a salient mediator. An understanding of the mechanism that prompts US women's cancer screening practices provides practical implications for health campaign practitioners.

Effect of information encounter on concerns over healthy eating- mediated through body comparison and moderated by body mass index or body satisfaction.

BACKGROUND: Understanding factors that influence healthy or unhealthy eating can inform intervention strategies. This study ascertained whether and how unintentional exposure to food and nutrition information influenced healthy eating concerns. The study tested body comparison, body satisfaction, and body mass index as three mechanisms that potentially link food information encounter, commonly known as information scanning, to healthy eating concerns. METHODS: A sample of 440 online participants (mean age = 29.15 years) was used to investigate: (1) how unintentional exposure to food and nutrition information, i.e., information encounter (IE), affects healthy eating concerns (HEC); (2) how the effect of IE on HEC is mediated by body comparison (BC); (3) how the paths of the mediation model are moderated by body satisfaction (BS) or body mass index (BMI). RESULTS: The findings show a positive and sizable total effect of IE on HEC - a whole-scale increase in information encounter is associated with a substantial increase in healthy eating concerns by 15 percentage points (bp = 0.150). BC is found to mediate the effect of IE on HEC in an all-positive complementary mediation. Both the indirect and the direct-and-remainder paths show sizable effects. The mediated path contributes about 20% of the total effect between IE and HEC (cp = 20%), while the direct-and-remainder path contributes the rest (cp = 80%). BS was found to moderate the relationship between IE and BC, the first leg of the mediation. The moderation effect is large - the effect of IE on BC is much smaller on the highly and the moderately satisfied than on the lowly satisfied (slope differential bp = -.60). BMI was found to moderate the direct-and-remainder effect of IE on HEC, controlling BC. That is, the effect of IE on HEC, after filtering out the mediated effect through BC, is much larger for those with high or low BMI than those with healthy BMI (slope differential bp = .32). CONCLUSIONS: Exposure, even if unintentional, to food and nutrition information is an important predictor of HEC. BC, BS, and BMI are important factors that help to explain the process through which information affects behaviors.

Associations Between COVID-19 Information Acquisition and Vaccination Intention: The Roles of Anticipated Regret and Collective Responsibility.

While public health communication has been suggested to be a key for improving acceptance of COVID-19 vaccination, this study tested mediation pathways through which three types of vaccine information acquisition, i.e. seeking, scanning, and discussing, affect COVID-19 vaccination intention. The pathways comprise two mediators, i.e. anticipated regret due to inaction and collective responsibility. Results suggest that information seeking and discussing may have encouraged the intention to get vaccinated, but mainly indirectly through the two mediators. Information seeking and discussing may have elicited anticipated regret and collective responsibility, which in turn increased vaccination intention. The paths from information scanning were smaller in effect sizes and statistically unacknowledged. Implications and limitations are discussed.

COVID-19 information exposure and vaccine hesitancy: The influence of trust in government and vaccine confidence.

As the novel coronavirus (COVID-19) continues to spread, vaccine hesitancy increasingly threats public health worldwide. Health information from traditional, online and social media may influence vaccine hesitancy. The purpose of this study was to explore the influence of exposure to COVID-19 information from various media on vaccine hesitancy, as well as the mediating roles of public trust in government and vaccine confidence. With a sample of 438 online participants (mean age = 30.69 years) responding to an anonymous questionnaire, the study tested a mediation model using bias-corrected bootstrap. The results indicated that exposure to COVID-19 information from online news media and traditional media can reduce vaccine hesitancy indirectly. Whereas a positive and indirect relationship between COVID-19 information exposure on social media and vaccine hesitancy was revealed. Trust in government and vaccine confidence were found to be salient mediators between exposure to COVID-19 information from various media and vaccine hesitancy. Findings from this study offer implications for strategies to address vaccine hesitancy.

"Nice You Share in Return": Informational Sharing, Reciprocal Sharing, and Life Satisfaction Amid COVID-19 Pandemic.

Social media become an important space where people receive and share up-to-date health-related information during the rapid global spread of the novel coronavirus (COVID-19). While information sharing in social media has been shown to improve relations, reduce stress, and enhance life satisfaction, little is known about reciprocal sharing. Situated in COVID-19 pandemic, this study conceptualizes information sharing as a communication process during which sharers expect the receivers to reciprocate, while receivers feel obligated to return the favor. Building upon social exchange theory and studies on social media sharing, the study tested a model of moderated mediation in which sharing of COVID-19 information was predicted to enhance life satisfaction by encouraging reciprocal sharing, i.e., information reciprocity. Subjective norms, attitudes, and perceived usefulness of the information was predicted to moderate the mediation. The hypothesized mediation was supported by data from a survey of 511 online participants in China. Furthermore, the indirect effect appeared stronger among the respondents who found the information more useful, reported more positive attitude, or perceived more subjective norms. The findings suggest that expected reciprocation may be an important incentive for social sharing, and received reciprocation may be a central part of the mechanism through which sharing benefits the sharer. Policymakers and communicators may need to take information reciprocity into consideration when designing health information campaign to confront communal threats.

The Effects of the Use of Patient-Accessible Electronic Health Record Portals on Cancer Survivors' Health Outcomes: Cross-sectional Survey Study.

BACKGROUND: In the past decade, patient-accessible electronic health record (PAEHR) systems have emerged as an important tool for health management both at the hospital level and individual level. However, little is known about the effects of PAEHR portals on the survivorship of patients with chronic health conditions (eg, cancer). OBJECTIVE: This study aims to investigate the effects of the use of PAEHR portals on cancer survivors' health outcomes and to examine the mediation pathways through patient-centered communication (PCC) and health self-efficacy. METHODS: Data for this study were derived from the Health Information National Trends Survey (HINTS 5, Cycle 4) collected from February 2020 to June 2020. This study only involved respondents who reported having been diagnosed with cancer (N=626). Descriptive analyses were performed, and the mediation models were tested using Model 6 from the SPSS macro PROCESS. Statistically significant relationships among PAEHR portal use, PCC, health self-efficacy, and physical and psychological health were examined using bootstrapping procedures. In this study, we referred to the regression coefficients generated by min-max normalization as percentage coefficients (bp). The 95% bootstrapped CIs were used with 10,000 resamplings. RESULTS: No positive direct associations between PAEHR portal use and cancer survivors' health outcomes were found. The results supported the indirect relationship between PAEHR portal use and cancer survivors' psychological health via (1) PCC (bp=0.029; ß=.023, 95% CI .009-.054), and (2) PCC and health self-efficacy in sequence (bp=0.006; ß=.005, 95% CI .002-.014). Besides, the indirect association between PAEHR portal use and cancer survivors' physical health (bp=0.006; ß=.004, 95% CI .002-.018) via sequential mediators of PCC and health self-efficacy was also statistically acknowledged. CONCLUSIONS: This study offers empirical evidence about the significant role of PAEHR portals in delivering PCC, improving health self-efficacy, and ultimately contributing to cancer survivors' physical and psychological health.

Interrater reliability estimators tested against true interrater reliabilities.

BACKGROUND: Interrater reliability, aka intercoder reliability, is defined as true agreement between raters, aka coders, without chance agreement. It is used across many disciplines including medical and health research to measure the quality of ratings, coding, diagnoses, or other observations and judgements. While numerous indices of interrater reliability are available, experts disagree on which ones are legitimate or more appropriate. Almost all agree that percent agreement (ao), the oldest and the simplest index, is also the most flawed because it fails to estimate and remove chance agreement, which is produced by raters' random rating. The experts, however, disagree on which chance estimators are legitimate or better. The experts also disagree on which of the three factors, rating category, distribution skew, or task difficulty, an index should rely on to estimate chance agreement, or which factors the known indices in fact rely on. The most popular chance-adjusted indices, according to a functionalist view of mathematical statistics, assume that all raters conduct intentional and maximum random rating while typical raters conduct involuntary and reluctant random rating. The mismatches between the assumed and the actual rater behaviors cause the indices to rely on mistaken factors to estimate chance agreement, leading to the numerous paradoxes, abnormalities, and other misbehaviors of the indices identified by prior studies. METHODS: We conducted a 4 × 8 × 3 between-subject controlled experiment with 4 subjects per cell. Each subject was a rating session with 100 pairs of rating by two raters, totaling 384 rating sessions as the experimental subjects. The experiment tested seven best-known indices of interrater reliability against the observed reliabilities and chance agreements. Impacts of the three factors, i.e., rating category, distribution skew, and task difficulty, on the indices were tested. RESULTS: The most criticized index, percent agreement (ao), showed as the most accurate predictor of reliability, reporting directional r2 = .84. It was also the third best approximator, overestimating observed reliability by 13 percentage points on average. The three most acclaimed and most popular indices, Scott's π, Cohen's κ and Krippendorff's α, underperformed all other indices, reporting directional r2 = .312 and underestimated reliability by 31.4 ~ 31.8 points. The newest index, Gwet's AC1, emerged as the second-best predictor and the most accurate approximator. Bennett et al's S ranked behind AC1, and Perreault and Leigh's Ir ranked the fourth both for prediction and approximation. The reliance on category and skew and failure to rely on difficulty explain why the six chance-adjusted indices often underperformed ao, which they were created to outperform. The evidence corroborated the notion that the chance-adjusted indices assume intentional and maximum random rating while the raters instead exhibited involuntary and reluctant random rating. CONCLUSION: The authors call for more empirical studies and especially more controlled experiments to falsify or qualify this study. If the main findings are replicated and the underlying theories supported, new thinking and new indices may be needed. Index designers may need to refrain from assuming intentional and maximum random rating, and instead assume involuntary and reluctant random rating. Accordingly, the new indices may need to rely on task difficulty, rather than distribution skew or rating category, to estimate chance agreement.

A multi-platform metabolomics reveals possible biomarkers for the early-stage esophageal squamous cell carcinoma.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent types of upper gastrointestinal malignancies. This work aimed to identify potential biomarkers for early screening for ESCC and characterize the systemic metabolic disturbances underlying ESCC using multi-platform metabolomics analysis. METHODS: We divided 239 patients (the early-stage ESCC patients, n = 132; Healthy controls, n = 107) into discovery and validation sets after matching age and sex. Integrated statistical and multi-platform serum metabolomics analyses were used to screen and validate significant metabolites linked to ESCC patients. RESULTS: Multi-platform metabolomics analyses showed that amino acid and lipid metabolism were crucial in the etiology of ESCC. Five metabolites, tryptophan (Trp), citrulline, l-carnitine, lysine, and acetyl-carnitine, were selected as potential biomarkers to establish a diagnosis panel, which showed high accuracy in distinguishing ESCC patients from healthy controls (area under the receiver operating characteristic curve, 0.873, 95% confidence interval [CI]: 0.825-0.925). CONCLUSIONS: This work laid the groundwork for understanding the etiology of ESCC. The diagnostic panel showed potential usefulness in early-stage ESCC diagnosis in clinical practice.

Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses.

The COVID-19 outbreak has caused significant stress in our lives, which potentially increases frustration, fear, and resentful emotions. Managing stress is complex, but helps to alleviate negative psychological effects. In order to understand how the public coped with stress during the COVID-19 pandemic, we used Macao as a case study and collected 104,827 COVID-19 related posts from Facebook through data mining, from 1 January to 31 December 2020. Divominer, a big-data analysis tool supported by computational algorithm, was employed to identify themes and facilitate machine coding and analysis. A total of 60,875 positive messages were identified, with 24,790 covering positive psychological themes, such as "anti-epidemic", "solidarity", "hope", "gratitude", "optimism", and "grit". Messages that mentioned "anti-epidemic", "solidarity", and "hope" were the most prevalent, while different crisis stages, key themes and media elements had various impacts on public involvement. To the best of our knowledge, this is the first-ever study in the Chinese context that uses social media to clarify the awareness of solidarity. Positive messages are needed to empower social media users to shoulder their shared responsibility to tackle the crisis. The findings provide insights into users' needs for improving their subjective well-being to mitigate the negative psychological impact of the pandemic.

Antecedents and Consequences of Smoking Cessation Intention in the Context of the Global COVID-19 Infodemic.

A growing body of scientific studies has been published to inform responses to the ongoing coronavirus pandemic, and some have claimed that cigarette smoking has a beneficial or mixed effect on the prevention and treatment of COVID-19. The presentation of such findings, unfortunately, has created an infodemic. This study integrated the theory of planned behavior and the health belief model and incorporated findings on addiction from the medical literature to predict cessation intention and support for tobacco control measures in the context of the COVID-19 infodemic. The study found that cessation intention partially mediated the effect of perceived severity and fully mediated the effects of perceived benefits, self-efficacy, and addiction on support for control measures. In addition, a positively-valenced message of the effect of smoking on the prevention and treatment of COVID-19 vs. a mixedly-valenced message was significant in predicting cessation intention, and the positively-valenced message of smoking indirectly predicted support for tobacco control measures. Perceived susceptibility, barriers, and subjective norms, however, exerted neither direct nor indirect effects on the two outcome variables.

Serum metabolite signatures of epithelial ovarian cancer based on targeted metabolomics.

BACKGROUND: Epithelial ovarian cancer (EOC) is a common gynecological cancer with high mortality rates. The main objective of this study was to investigate the serum amino acid and organic acid profiles to distinguish key metabolites for screening EOC patients. METHODS: In total, 39 patients with EOC and 31 healthy controls were selected as the training set. Serum amino acid and organic acid profiles were determined using the targeted metabolomics approach. Metabolite profiles were processed via multivariate analysis to identify potential metabolites and construct a metabolic network. Finally, a test dataset derived from 29 patients and 28 healthy controls was constructed to validate the potential metabolites. RESULTS: Distinct amino acid and organic acid profiles were obtained between EOC and healthy control groups. Methionine, glutamine, asparagine, glutamic acid and glycolic acid were identified as potential metabolites to distinguish EOC from control samples. The areas under the curve for methionine, glutamine, asparagine, glutamic acid and glycolic acid were 0.775, 0 778, 0.955, 0.874 and 0.897, respectively, in the validation study. Metabolic network analysis of the training set indicated key roles of alanine, aspartate and glutamate metabolism as well as D-glutamine and D-glutamate metabolism in the pathogenesis of EOC. CONCLUSIONS: Amino acid and organic acid profiles may serve as potential screening tools for EOC. Data from this study provide useful information to bridge gaps in the understanding of the amino acid and organic acid alterations associated with epithelial ovarian cancer.

Evaluation of two-step liquid-liquid extraction protocol for untargeted metabolic profiling of serum samples to achieve broader metabolome coverage by UPLC-Q-TOF-MS.

Untargeted metabolomics studies aim to extract a broad coverage of metabolites from biological samples, which largely depends on the sample preparation protocols used for metabolite extraction. The aim of this study was to evaluate a comprehensive sample pretreatment strategy using two-step liquid-liquid extraction to achieve broader metabolome coverage by ultra-high-performance liquid chromatography coupled with electrospray ionization time-of-flight mass spectrometry (UPLC-Q-TOF-MS). We compared four protocols: (A) methanol protein precipitation, (B) Ostro 96-well plates, (C) two-step extraction protocol of CHCL3-MeOH followed by MeOH-H2O, and (D) two-step extraction protocol of CH2CL2-MeOH followed by MeOH-H2O. The number of extracted features, reproducibility and recovery were the major criteria for evaluation. Our results demonstrated that Protocols B, C and D, with approximately similar number of features, extracted more features than Protocol A. Protocols C and D appeared to have similar extraction reproducibility (low coefficient of variation < 30%) and Protocol D enabled an acceptable recovery of serum metabolites. The two-step extraction Protocol D (CH2CL2-MeOH followed by MeOH-H2O) resulted in the greatest improvement in metabolite coverage, satisfactory extraction reproducibility, acceptable recovery and environmental safety. The selected protocol was applied to an obesity metabolomics study to obtain different metabolites between participants with obesity and the controls, and to investigate complex metabolic alterations in obesity during a 2-h oral glucose-tolerance test. Our results suggested that this protocol was useful for analyzing serum metabolome changes in obese individuals in the fasting and postprandial state.