Self-reported Data Research Articles

Exploring the Impact of Conformity on Impulsive Buying: Implications for Counseling Practices

Given the increasing prevalence of impulsive buying behavior among football supporters, understanding the underlying social influences becomes crucial for effective intervention. This study examines the relationship between conformity and impulsive buying behavior among football supporters in Salatiga. Using a quantitative correlational design, data was collected from 106 participants via an online questionnaire distributed through social media. The findings reveal a significant positive relationship between conformity and impulsive buying, with 49.1% of participants exhibiting high conformity and 55.7% displaying high impulsive buying behavior. The effective contribution of conformity to impulsive buying was 82%, indicating that peer pressure and social dynamics significantly influence buying behavior. The study suggests that counselors should develop targeted interventions to help individuals manage conformity pressures, enhance self-awareness, and make more rational purchasing decisions. The research highlights the need for financial literacy education and supportive group counseling sessions to address the psychological and practical aspects of impulsive buying. However, the study's limitations include its focus on a specific demographic and potential biases in self-reported data, necessitating further research to generalize the findings.

Associations between child maltreatment and hospital admissions for alcohol and other substance use-related disorders up to 40 years of age: Results from the Childhood Adversity and Lifetime Morbidity study.

Evidence on the associations between child maltreatment (CM), alcohol use disorders (AUDs) and other substance use disorders (SUDs) comes largely from retrospective studies. These rely on self-reported data, which may be impacted by recall bias. Using prospective CM reports to statutory agencies, we measured associations between CM notifications and inpatient admissions for AUDs and SUDs up to 40 years of age. Observational study linking administrative health data from Queensland, Australia to prospective birth cohort data comprising both agency-reported and substantiated notifications of CM. Outcomes were inpatient admissions for AUDs and SUDs based on ICD-10-Australian modification (AM)-coded primary diagnoses. Unadjusted and adjusted logistic regression analyses were undertaken. Ten per cent (n = 609) of the cohort had a history of agency-reported or substantiated CM notifications before age 15. These individuals had higher adjusted odds of being admitted for AUDs and SUDs. For AUDs, the adjusted odds of inpatient admission were 2.86 [95% confidence interval (CI) = 1.73-4.74] greater where there was any previous agency-reported CM and 3.38 (95% CI = 1.94-5.89) greater where there was any previous substantiated CM. For SUDs, the adjusted odds of inpatient admission were 3.34 (95% CI = 2.42-4.61) greater where there was any previous agency-reported CM and 2.98 (95% CI = 2.04-4.36) greater where there was any previous substantiated CM. People with a history of child maltreatment appear to have significantly higher odds of inpatient admissions for alcohol use disorders and other substance use disorders up to 40 years of age compared to people with no history of child maltreatment.

Gabapentin use in the management of pruritus: Students survey

This study at Howard University College of Pharmacy assessed student knowledge and opinions on off-label gabapentin use for treating pruritus—a persistent, distressing itch where gabapentin is commonly prescribed despite lack of FDA approval. Focused on its primary use for seizures and neuropathic pain, concerns arise over potential misuse when extended to pruritus treatment. Surveying 39 students, findings indicated only 27% recognized its approval for seizures, and a mere 10.8% were aware of its use for hemodialysis-related pruritus. Furthermore, just 32.4% acknowledged its broad safety in dosing. Many students expressed caution against off-label use due to potential adverse effects outweighing benefits, with 40.5% hesitant about using non-approved medications for pruritus, and 37.8% advising against promoting its off-label application. Conversely, 48.6% supported the use of established treatments instead. The study highlights the need for targeted educational interventions to correct misconceptions and improve understanding of off-label drug use, though its findings are limited by reliance on self-reported data and a sample restricted to one institution—potentially impacting wider applicability. These results lay the groundwork for further research into off-label drug implications in varied medical settings.

Understanding the Determinants of Decision Making Among Online Food Delivery App Users in Can Tho City, Vietnam

This research explores the determinants influencing decision making among online food delivery app users in Can Tho City, Vietnam, against the backdrop of the city's evolving culinary landscape and the rapid expansion of digital technologies. Through qualitative methods including semi-structured interviews, thematic analysis, participant observation, and document analysis, key factors driving user decisions are identified. These factors include convenience, trust, food quality, delivery time, price sensitivity, and social influences. The findings underscore the complexity of user behavior within this context and highlight the importance of addressing these factors to improve user satisfaction and engagement with online food delivery apps. Despite the study's valuable insights, limitations such as geographical specificity, sample size, and reliance on self-reported data are acknowledged, suggesting avenues for future research including longitudinal studies, comparative analyses, experimental interventions, and quantitative assessments. By addressing these gaps, future research can advance our understanding of user behavior in online food delivery contexts and inform strategies for enhancing the user experience.

Cross-sectional association of physical activity levels with risks of sarcopenia among older Taiwanese adults

ObjectivesThe updated World Health Organization 2020 guidelines strongly recommend an optimal physical activity level of 150–300 min/week for older adults. However, few studies have examined the relationship between different levels of physical activity and sarcopenia. Therefore, the purpose of this study was to investigate the cross-sectional associations between overall physical activity levels, gender, intensity, and the risk of sarcopenia among older Taiwanese adults.MethodsA nationwide cross-sectional telephone survey of older adults (≥ 65 years) was conducted in Taiwan from October 2019 to January 2020. Participants were interviewed to collect self-reported data on their level of physical activity (measured by the Taiwanese version of the IPAQ-SF), sarcopenia risk (measured by the SARC-F questionnaire), and sociodemographics.ResultsA total of 1068 older adults were surveyed. Compared with the optimal physical activity level recommendations in the WHO guidelines and after adjusting for potential confounders and proposing an association independent of sedentary behavior, older adults with insufficient physical activity levels (< 150 min/week) were more likely to have a higher risk of sarcopenia (OR: 3.24; CI: 1.67–6.27), whereas older adults who exceeded physical activity guidelines (> 300 min/week) were more likely to have a lower risk of sarcopenia (OR: 0.39; CI: 0.20–0.78). Maintaining moderate-intensity physical activity is essential for older adults, as physical activity that exceeds the guidelines can significantly lower the risk of sarcopenia; meanwhile, insufficient physical activity can greatly increase it. Also, there seems to be a similar association between sarcopenia risk across different physical activity levels in vigorous-intensity physical activities in older adults. However, due to the small number of sarcopenia-risk participants who met or exceeded vigorous-intensity physical activity levels, further comparisons between different vigorous-intensity physical activity levels did not show significant differences in sarcopenia risk. Additionally, insufficient physical activity was found to be an important risk factor for sarcopenia in both genders, while physical activity that exceeded the guidelines prevented sarcopenia in females.ConclusionsThe findings of this study highlight the potential dose-response relationship related to physical activity. The 2020 WHO guidelines provide the public with minimum recommendations for physical activity. However, exceeding these recommended levels appears to be more effective in preventing sarcopenia in older adults and may offer even greater health benefits. Future research should further explore whether exceeding these guidelines could result in additional health benefits.

Absence of association between maternal adverse events and long-term gut microbiome outcomes in the Australian autism biobank

IntroductionMaternal immune activation (MIA) and prenatal maternal stress (MatS) are well-studied risk factors for psychiatric conditions such as autism and schizophrenia. Animal studies have proposed the gut microbiome as a mechanism underlying this association and have found that risk factor-related gut microbiome alterations persist in the adult offspring. In this cross-sectional study, we assessed whether maternal immune activation and prenatal maternal stress were associated with long-term gut microbiome alterations in children using shotgun metagenomics. MethodsThis cross-sectional study included children diagnosed with autism (N = 92), siblings without a diagnosis (N = 42), and unrelated children (N = 40) without a diagnosis who were recruited into the Australian Autism Biobank and provided a faecal sample. MIA exposure was inferred from self-reported data and included asthma/allergies, complications during pregnancy triggering an immune response, auto-immune conditions, and acute inflammation. Maternal stress included any of up to 9 stressful life events during pregnancy, such as divorce, job loss, and money problems. Data were analysed for a total of 174 children, of whom 63 (36%) were born to mothers with MIA and 84 (48%) were born to mothers who experienced maternal stress during pregnancy (where 33 [19%] experienced both). Gut microbiome data was assessed using shotgun metagenomic sequencing of the children's faecal samples. ResultsIn our cohort, MIA, but not MatS, was associated with ASD. Variance component analysis revealed no associations between any of the gut microbiome datasets and neither MIA nor MatS. After adjusting for age, sex, diet and autism diagnosis, there was no significant difference between groups for bacterial richness, α-diversity or β-diversity. We found no significant differences in species abundance in the main analyses. However, when stratifying the cohort by age, we found that Faecalibacterium prausnitzii E was significantly decreased in MIA children aged 11–17. DiscussionConsistent with previous findings, we found that children who were born to mothers with MIA were more likely to be diagnosed with autism. Unlike within animal studies, we found negligible microbiome differences associated with MIA and maternal stress. Given the current interest in the microbiome-gut-brain axis, researchers should exercise caution in translating microbiome findings from animal models to human contexts and the clinical setting.

Can Professionals Resist Cognitive Bias Elicited by the Visual System? Reversed Semantic Prime Effect and Decision Making in the Workplace: Reaction Times and Accuracy.

Information that comes from the environment reaches the brain-and-body system via sensory inputs that can operate outside of conscious awareness and influence decision processes in different ways. Specifically, decision-making processes can be influenced by various forms of implicit bias derived from individual-related factors (e.g., individual differences in decision-making style) and/or stimulus-related information, such as visual input. However, the relationship between these subjective and objective factors of decision making has not been investigated previously in professionals with varying seniority. This study explored the relationship between decision-making style and cognitive bias resistance in professionals compared with a group of newcomers in organisations. A visual "picture-picture" semantic priming task was proposed to the participants. The task was based on primes and probes' category membership (animals vs. objects), and after an animal prime stimulus presentation, the probe can be either five objects (incongruent condition) or five objects and an animal (congruent condition). Behavioural (i.e., accuracy-ACC, and reaction times-RTs) and self-report data (through the General Decision-Making Scale administration) were collected. RTs represent an indirect measure of the workload and cognitive effort required by the task, as they represent the time it takes the nervous system to receive and integrate incoming sensory information, inducing the body to react. For both groups, the same level of ACC in both conditions and higher RTs in the incongruent condition were found. Interestingly, for the group of professionals, the GDMS-dependent decision-making style negatively correlates with ACC and positively correlates with RTs in the congruent condition. These findings suggest that, under the incongruent decision condition, the resistance to cognitive bias requires the same level of cognitive effort, regardless of seniority. However, with advancing seniority, in the group of professionals, it has been demonstrated that a dependent decision-making style is associated with lower resistance to cognitive bias, especially in conditions that require simpler decisions. Whether this result depends on age or work experience needs to be disentangled from future studies.

Concurrent Associations Between Callous-Unemotional Traits, Moral Disengagement, and Bullying Perpetration in Adolescence

The aim of the current study was twofold. The first aim was to examine whether callous-unemotional (CU) traits are directly related to moral disengagement and bullying perpetration as well as whether CU traits are indirectly related to bullying perpetration mediated by moral disengagement among adolescents. The second aim was to examine whether the three distinct dimensions of CU—callousness, uncaringness, and unemotionality—are directly related to moral disengagement and bullying perpetration, as well as whether they are indirectly related to bullying perpetration mediated by moral disengagement among adolescents. Self-report survey data from 706 adolescents ( Mage = 14.5) from 20 schools in Sweden were gathered and analyzed using structural equation modeling. The findings suggest that CU traits were positively and directly linked to bullying perpetration, but also indirectly mediated by moral disengagement. Similarly, callousness and uncaringness showed direct and indirect associations with bullying perpetration, whereas unemotionality was found to be only indirectly associated with bullying perpetration. Unemotionality had the weakest connection to moral disengagement and was not directly related to bullying perpetration, whereas callousness, in particular, but also uncaringness, had stronger connections to moral disengagement and bullying perpetration. In sum, the findings underscore the importance of explicitly integrating moral considerations into endeavors aimed at preventing school bullying among adolescents.

School culture and teaching practices for the effective student- centred learning during emergency remote teaching

ABSTRACT This paper explores teaching practices during emergency remote teaching, drawing on data from a nationwide online survey of Estonian high schools. The study was motivated by an attempt to understand effective teaching under conditions of emergency-related logistic, online teaching and economic constraints faced by the schools during the COVID-19 pandemic. The study design adopted a quantitative approach, employing exploratory factor analyses and structural equation modelling of self-report data from a sample of 1,788 teachers. The model brought out three teaching strategies employed during the emergency remote teaching period and their relationship to school-level factors, perceived workload and perceived effectiveness of student learning. Student-centred learning strategies were especially perceived as effective and influenced by stronger collaboration at the school level. Our findings illuminate the necessity of implementing a varied and flexible teaching methodology under emergency remote teaching contexts, backed by a proactive and dynamic collaboration among school members and parents.

Impact of factory certifications on firm resources: a quantitative content analysis of the Bangladeshi readymade garments (RMG) industry

Purpose This study aims to investigate the association between certifications in the Bangladeshi readymade garment (RMG) sector and diverse firm resources, contributing to Bangladesh’s competitive advantage. Design/methodology/approach The study conducted a quantitative content analysis of 366 Bangladeshi RMG firm websites, using Barney’s (1991) resource-based theory (RBT) framework. Pearson correlation and linear regression analyses were used to explore the research questions. Findings The findings reveal significant positive impacts of certifications on all firm resource categories (physical, human, organizational knowledge and learning, general organizational and financial) under the RBT framework. Certifications correlate positively with resources, from small to medium, and with various factors, though some negative correlations were identified. Research limitations/implications The study improves comprehension of apparel manufacturers’ certifications and their association with firm resources, offering valuable insights for stakeholders on long-term competitive advantages. Yet, limitations should be considered, including size-dependent variations and reliance on self-reported website data. Originality/value This study represents a pioneering effort, concentrating on Bangladesh’s RMG sector and offering a unique perspective on the implications of certifications for firm resources within emerging economies.

A call for caution when using network methods to study multimorbidity: an illustration using data from the Canadian Longitudinal Study on Aging

ObjectivesTo examine the impact of two key choices when conducting a network analysis (clustering methods and measure of association) on the number and type of multimorbidity clusters. Study Design and SettingUsing cross-sectional self-reported data on 24 diseases from 30,097 community-living adults aged 45–85 from the Canadian Longitudinal Study on Aging, we conducted network analyses using 5 clustering methods and 11 association measures commonly used in multimorbidity studies. We compared the similarity among clusters using the adjusted Rand index (ARI); an ARI of 0 is equivalent to the diseases being randomly assigned to clusters, and 1 indicates perfect agreement. We compared the network analysis results to disease clusters independently identified by two clinicians. ResultsResults differed greatly across combinations of association measures and cluster algorithms. The number of clusters identified ranged from 1 to 24, with a low similarity of conditions within clusters. Compared to clinician-derived clusters, ARIs ranged from −0.02 to 0.24, indicating little similarity. ConclusionThese analyses demonstrate the need for a systematic evaluation of the performance of network analysis methods on binary clustered data like diseases. Moreover, in individual older adults, diseases may not cluster predictably, highlighting the need for a personalized approach to their care.

Development of an Electronic Health Record Self-Referral Tool for Lung Cancer Screening: One-Group Posttest Study.

Approximately 14 million individuals in the United States are eligible for lung cancer screening (LCS), but only 5.8% completed screening in 2021. Given the low uptake despite the potential great health benefit of LCS, interventions aimed at increasing uptake are warranted. The use of a patient-facing electronic health record (EHR) patient portal direct messaging tool offers a new opportunity to both engage eligible patients in preventative screening and provide a unique referral pathway for tobacco treatment. This study sought to develop and pilot an EHR patient-facing self-referral tool for an established LCS program in an academic medical center. Guided by constructs of the Health Belief Model associated with LCS uptake (eg, knowledge and self-efficacy), formative development of an EHR-delivered engagement message, infographic, and self-referring survey was conducted. The survey submits eligible self-reported patient information to a scheduler for the LCS program. The materials were pretested using an interviewer-administered mixed methods survey captured through venue-day-time sampling in 5 network-affiliated pulmonology clinics. Materials were then integrated into the secure patient messaging feature in the EHR system. Next, a one-group posttest quality improvement pilot test was conducted. A total of 17 individuals presenting for lung screening shared-decision visits completed the pretest survey. More than half were newly referred for LCS (n=10, 60%), and the remaining were returning patients. When asked if they would use a self-referring tool through their EHR messaging portal, 94% (n=16) reported yes. In it, 15 participants provided oral feedback that led to refinement in the tool and infographic prior to pilot-testing. When the initial application of the tool was sent to a convenience sample of 150 random patients, 13% (n=20) opened the self-referring survey. Of the 20 who completed the pilot survey, 45% (n=9) were eligible for LCS based on self-reported smoking data. A total of 3 self-referring individuals scheduled an LCS. Pretest and initial application data suggest this tool is a positive stimulus to trigger the decision-making process to engage in a self-referral process to LCS among eligible patients. This self-referral tool may increase the number of patients engaging in LCS and could also be used to aid in self-referral to other preventative health screenings. This tool has implications for clinical practice. Tobacco treatment clinical services or health care systems should consider using EHR messaging for LCS self-referral. This approach may be cost-effective to improve LCS engagement and uptake. Additional referral pathways could be built into this EHR tool to not only refer patients who currently smoke to LCS but also simultaneously trigger a referral to clinical tobacco treatment.

“I feel the weight of expectations”: how emotions and social norms shape news choices about superfood diets

Focusing on “super diets” and different approaches to integrate superfoods in one’s diet (i.e., small- vs. large-change approaches), this study examines the drivers behind healthy eating information management (both seeking and avoidance). We combine self-reported data (N = 359) about the individual’s affective states (positive (PA), negative (NA), and mixed (MA)) and the perceived informational subjective norms (ISN) with unobtrusively measured news selectivity. The data was analyzed using zero-inflated negative binomial (ZINB) regression models, which simultaneously accounted for the seeking and avoiding healthy eating news. Findings revealed that the seeking behavior could neither be explained by the individual’s affective state (negative or mixed), informational subjective norms, nor by their interaction. However, contrary to our predictions, positive affect was not associated with avoiding news about healthy eating. Regarding specific content features, informational subjective norms were the only significant predictor of seeking news featuring large-change approaches to one’s diet. While individuals in negative affective states were likely to spend less time on news featuring a small-change approach, individuals with mixed affects were likely to spend more time on news featuring such an approach. The interaction between mixed affect and negative affect with informational subjective norms reversed this relationship. Theoretical and practical implications are discussed.

Associations Between Ultra-Processed Food Consumption and Adverse Brain Health Outcomes.

Ultra-processed foods (UPFs) are linked to cardiometabolic diseases and neurologic outcomes, such as cognitive decline and stroke. However, it is unclear whether food processing confers neurologic risk independent of dietary pattern information. We aimed to (1) investigate associations between UPFs and incident cognitive impairment and stroke and (2) compare these associations with other commonly recommended dietary patterns in the REasons for Geographic and Racial Differences in Stroke study. This prospective, observational cohort study enrolled Black and White adults in the United States from 2003 to 2007. The NOVA system was used to categorize items from a baseline food frequency questionnaire according to the level of processing. Participants with incomplete or implausible self-reported dietary data were excluded. Consumption for each category (grams) was normalized to total grams consumed. Scores quantifying adherence to a Mediterranean, Dietary Approaches to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet were also calculated. Incident cognitive impairment was defined using performance relative to a normative sample on memory and fluency assessments. Incident stroke was identified through adjudicated review of medical records. The cognitive impairment cohort (n = 14,175) included participants without evidence of impairment at baseline who underwent follow-up testing. The stroke cohort (n = 20,243) included participants without a history of stroke. In multivariable Cox proportional hazards models, a 10% increase in relative intake of UPFs was associated with higher risk of cognitive impairment (hazard ratio [HR] = 1.16, 95% CI 1.09-1.24, p = 1.01 × 10-5) and intake of unprocessed or minimally processed foods with lower risk of cognitive impairment (HR = 0.88, 95% CI 0.83-0.94, p = 1.83 × 10-4). Greater intake of UPFs (HR = 1.08, 95% CI 1.02-1.14, p = 1.12 × 10-2) and unprocessed or minimally processed foods (HR = 0.91, 95% CI 0.86-0.95, p = 2.13 × 10-4) were also associated with risk of stroke in multivariable Cox models. The effect of UPFs on stroke risk was greater among Black than White participants (UPF-by-race interaction HR = 1.15, 95% CI 1.03-1.29, p = 1.50 × 10-2). Associations between UPFs and both cognitive impairment and stroke were independent of adherence to the Mediterranean, DASH, and MIND diets. Food processing may be important to brain health in older adults independent of known risk factors and adherence to recommended dietary patterns.

Studying Health and Illness Experience using Linked Data (SHIELD): Empowering customers to donate shopping data for chronic pain research

Introduction &amp; BackgroundChronic pain is considered a priority in healthcare and a threat to well-being across the globe, it is thus crucial to accurately measure the national levels of pain conditions and their impacts on workplace productivity and well-being. Chronic pain has traditionally been studied in isolation with either self-reported survey data or standalone shopping records. The former are limited in scale and can be marred by response biases, while the latter lack ‘ground truths’: what research teams can measure are usually the purchase patterns of pain relief products, but neither the severity nor types of pain conditions. Objectives &amp; ApproachData donation tools offer a novel approach to study chronic pain by linking the two aspects and establish statistical relationships between medicine consumptions and the multiple facets of pain experience. In a survey, we asked participants (N = 953) to share their loyalty card data with us, which is made possible with the data portability tool provided by Tesco (i.e., the largest supermarket chain in the United Kingdom) as part of the General Data Protection Regulation (GDPR). Based on questions adopted from popular inventories used in health research (e.g., EQ5D Health States, ONS4 Well-being, WEMWBS scales), we also asked participants to report the details of their pain conditions, hours of employment, and both general and mental health states. This allowed us to associate chronic pain - both subjective and objective (i.e., reflected by medicine consumption) - with its economic and personal consequences. Data collection was conducted via research panel providers, thus should approximate national representativeness. Relevance to Digital FootprintsThis work links digital footprints data donated by individuals to self-reported survey data, also develops an infrastructure for these data to be collected and safely stored. Conclusions &amp; ImplicationsOne key value of this project is to pioneer a measure of chronic pain that can be applied to transactional records that are much bigger in scale in future analytic works. Our research team has access to an array of different digital footprints data, including longitudinal transactional data provided by a major pharmacy chain (~20 million customers and ~429 million baskets). In order to utilise these data to associate them with regional workplace productivity measures and well-being data released by the Office for National Statistics, a metric must be defined to extract the prevalence of chronic pain from shopping data, which is informed by the patterns found by the data donation project.

Sleep after discharge: A northwest regional burn model system cohort study of burn subjects in a home-based virtual rehabilitation randomized trial

IntroductionMajor burns and the intensive care required induce numerous physiologic changes and stress responses that impact recovery for months after hospital discharge. Little is known about sleep quantity and quality after index hospitalization discharge. We report on actigraphy and sleep outcome data from subjects enrolled in a prospective trial of home-based virtual rehabilitation (HBVR) after burn injury. MethodsWe conducted a randomized controlled trial of a HBVR program over 12 weeks after index hospitalization. In both HBVR and control (usual care) groups, subjects were provided a wrist actigraphy accelerometer device (Garmin vívofit®) to wear. Sleep data were retrieved remotely and analyzed. Actigraphy data were defined a priori as complete if subjects had 5 out of 7 days of actigraphy wear in a week. Average weekly sleep was calculated and reported by group assignment. Sleep-relevant and fatigue outcomes were measured by PROMIS questionnaires at randomization (discharge + 0–30 days), 12-weeks, and 12-months. Descriptive statistics were used for comparisons and linear mixed effect model were used to evaluate trends in PROMIS T-scores between groups. ResultsFifty subjects were enrolled and 48 had complete sleep data. Mean age was 38 ± 14 years and mean burn size was 16 ± 13 % TBSA with a majority of subjects male (71 %). Average sleep duration was within general population norms, with little difference between subjects in the intervention and controls groups in the 12 weeks after study randomization (7.3 vs.7.2 h respectively, p = 0.25). Subjects in control group spent more time in light sleep (4.1 vs. 3.9 h, p < 0.01) and experienced a higher proportion of nights with sleep disturbances (0.75 vs. 0.70, p = 0.006). Thirty-two subjects (66 %) completed PROMIS questionnaires at both time of randomization and following the 12-week intervention period. Average PROMIS sleep disturbance T-scores were not significantly different at 3-months. The control group had significant improvement in average PROMIS T-scores at 3-months compared to the HBVR group (p = 0.015). PROMIS scores trended towards improvement over the 12-month study period for both groups. ConclusionsActigraphy data complement self-reported sleep data among burn-injured adults after hospital discharge. People with burn injury had mildly increased sleep disturbance, sleep impairment, and fatigue after hospital discharge but trended toward population norms over time.

Evaluation of Reliability Between Race and Ethnicity Data Obtained from Self-report Versus Electronic Health Record.

Disparities based on perceived race and ethnicity exist in all fields of medicine. Accurate data collection is crucial to addressing these disparities, yet few studies have evaluated the validity of data gathered. This study compares self-reported race and ethnicity data, considered the gold standard, with data documented in the electronic health record (EHR), to assess the validity of that data. Data from self-reported questionnaires was collected from adolescents admitted to a psychiatric inpatient unit from February 2019 to July 2022. Demographic questionnaires were self-administered as part of a larger battery completed during the admission process. Data was compared to demographic information collected from the hospital's EHR for the same patients and time. In a sample of 1191 patients (ages 11-18, 61.9% female, 89% response rate), substantial agreement was observed for Hispanic ethnicity (κ = 0.64), while agreement for specific racial groups ranged from slight to substantial (κ = 0.10-0.63). In addition, it was noted that there was discrepancy between multiracial identification, with 17.1% of patients identifying as more than one race in self-reported data compared to 3.1% in EHR data. The findings from this data set highlight the need for caution when using EHR data to draw conclusions about health disparities. It also suggests that the method of data collection meaningfully influences the responses patients provide. Addressing these challenges is essential for advancing equitable healthcare and mitigating disparities among patients.

Role of fashion-consciousness, health-awareness and environmental concerns on millennials’ usage of smartwatches

Purpose This paper aims to understand the underlying motivations and factors that drive millennials to embrace smartwatches as fashionable accessories, health monitoring tools and eco-friendly alternatives. Design/methodology/approach In June–July 2022, a cross-sectional study was conducted, gathering 285 complete responses through an online survey using convenience sampling. These responses were then analyzed to obtain valuable insights using structural equation modeling. Findings This study’s findings confirm the mediation effect of fashion innovativeness on the relationship between subjective norms and attitudes toward smartwatch usage (b = 0.034, lower limit confidence interval (LLCI) = 0.007, upper limit confidence interval (ULCI) = 0.086, p = 0.015). In addition, it highlights the mediating role of healthology in the association between subjective norms and attitudes toward using smartwatches (b = 0.062, LLCI = 0.006, ULCI = 0.151, p = 0.029). Research limitations/implications This research has limitations in terms of sample representativeness, self-reported data, cultural and regional factors and technological advancement. Practical implications Understanding millennials’ motivations behind smartwatch usage has implications for marketers, designers and manufacturers in targeting this generation effectively. By highlighting smartwatches’ fashion-forward and health-conscious aspects, companies can appeal to millennials’ preferences and develop innovative features that align with their values. Social implications This study provides validation for the increased level of environmental concerns among millennials, emphasizing its substantial influence on their purchasing decisions when it comes to smartwatches. Furthermore, it highlights that health-consciousness holds greater significance than fashion-forwardness as a determining factor for consumers of smartwatches. Originality/value This pioneering study explores the adoption intentions of smartwatch usage, examining it from the unique perspectives of health theology and environmental concerns. By delving into these novel dimensions, the research fills a significant gap in the existing literature. It contributes to a deeper understanding of the factors influencing millennials’ decision-making processes when embracing smartwatches.

Perceived Barriers to Pap Screening Influence Adherence to Screening Recommendations Among Black Women.

Objectives: The aim of this study was to determine the Health Belief Model (HBM) constructs associated with Pap screening adherence among a sample of African American and sub-Saharan African immigrant women in the United States. Methods: A descriptive cross-sectional study was conducted via an online survey. Participants were recruited from central Kentucky counties. Ninety-one eligible women participated (mean age 38 ± 12 years), 49.5% identified as African American. Twenty-nine percent indicated never being screened or not being up-to-date. Self-reported demographic data, HBM constructs for Pap screening, and Pap screening history were collected. Bivariate and logistic regressions were performed. Results: There was a significant negative association between perceived barriers and being up-to-date. For every one-point increase in perceived barriers, the odds of being up-to-date decreased by 81%, (p = 0.004; CI: 0.06-0.60), findings from further evaluation of the barrier construct showed that barriers significantly associated with screening include items related to lack of knowledge about where to get a Pap screening, lack of time to attend the screening, screening-associated shame and pain, negligence, and age. There were no other significant HBM constructs associated with up-to-date Pap screening status. There was no difference in perceived barriers between African American and sub-Saharan African women. Conclusions: Despite public health efforts to decrease screening barriers, a perception of barriers exists among Black women. Continued efforts to address screening barriers as well as the perception of barriers are warranted among Black women.

Satisfaction and perceived learning in business games: analysis of the moderating role of Debriefing

This article aims to examine the impact of debriefing (a reflective stage following action) on the relationship between satisfaction and perceived learning (encompassing knowledge, skills, and attitudes [KSA]) within the context of business games. The study analyzes self-reported data from 108 eighth-semester Business Administration students across two higher education institutions in Brazil, divided into two groups: an experimental group (who underwent debriefing) and a control group (who did not). The data was analyzed using Partial Least Squares Path Modeling (PLS-PM) . The findings of this paper do not support the hypothesis that the debriefing stage significantly influences the relationship between satisfaction and perceived learning. Therefore, it is concluded that during business games, participants engage in ex-ante reflection in the decision-making process, oversee the implementation of proposed solutions ex-cursum, and evaluate results ex-post. While the debriefing process reinforces this final stage, it does not significantly affect the relationship between satisfaction and perceived learning.