Expanding Kane's argument-based validity framework: What can validation practices in language assessment offer health professions education?

CONTEXT: One central consideration in health professions education (HPE) is to ensure we are making sound and justifiable decisions based on the assessment instruments we use on health professionals. To achieve this goal, HPE assessment researchers have drawn on Kane's argument-based framework to ascertain the validity of their assessment tools. However, the original four-inference model proposed by Kane - frequently used in HPE validation research - has its limitations in terms of what each inference entails and what claims and sources of backing are housed in each inference. The under-specification in the four-inference model has led to inconsistent practices in HPE validation research, posing challenges for (i) researchers who want to evaluate the validity of different HPE assessment tools and/or (ii) researchers who are new to test validation and need to establish a coherent understanding of argument-based validation. METHODS: To address these identified concerns, this article introduces the expanded seven-inference argument-based validation framework that is established practice in the field of language testing and assessment (LTA). We explicate (i) why LTA researchers experienced the need to further specify the original four Kanean inferences; (ii) how LTA validation research defines each of their seven inferences and (iii) what claims, assumptions and sources of backing are associated with each inference. Sampling six representative validation studies in HPE, we demonstrate why an expanded model and a shared disciplinary validation framework can facilitate the examination of the validity evidence in diverse HPE validation contexts. CONCLUSIONS: We invite HPE validation researchers to experiment with the seven-inference argument-based framework from LTA to evaluate its usefulness to HPE. We also call for greater interdisciplinary dialogue between HPE and LTA since both disciplines share many fundamental concerns about language use, communication skills, assessment practices and validity in assessment instruments.

Hierarchical Principal Components for Data-Driven Multiresolution fMRI Analyses.

Understanding the organization of neural processing is a fundamental goal of neuroscience. Recent work suggests that these systems are organized as a multiscale hierarchy, with increasingly specialized subsystems nested inside general processing systems. Current neuroimaging methods, such as independent component analysis (ICA), cannot fully capture this hierarchy since they are limited to a single spatial scale. In this manuscript, we introduce multiresolution hierarchical principal components analysis (hPCA) and compare it to ICA using simulated fMRI datasets. Furthermore, we describe a parametric statistical filtering method developed to focus analyses on biologically relevant features. Lastly, we apply hPCA to the Human Connectome Project (HCP) to demonstrate its ability to estimate a hierarchy from real fMRI data. hPCA accurately estimated spatial maps and time series from networks with diverse hierarchical structures. Simulated hierarchies varied in the degree of branching, such as two-way or three-way subdivisions, and the total number of levels, with varying equal or unequal subdivision sizes at each branch. In each case, as well as in the HCP, hPCA was able to reconstruct a known hierarchy of networks. Our results suggest that hPCA can facilitate more detailed and comprehensive analyses of the brain's network of networks and the multiscale regional specializations underlying neural processing and cognition.

Impact of surgical lung biopsy on lung function and survival in patients with idiopathic pulmonary fibrosis in a multi-centre registry cohort.

BACKGROUND AND OBJECTIVE: Establishing an accurate and timely diagnosis of idiopathic pulmonary fibrosis (IPF) is essential for appropriate management and prognostication. In some cases, surgical lung biopsy (SLB) is performed but carries non-negligible risk. The objective of this retrospective study was to determine if SLB is associated with accelerated lung function decline in patients with IPF using the Canadian Registry for Pulmonary Fibrosis. METHODS: Linear mixed models and Cox proportional hazards regression models were used to compare decline in forced vital capacity (FVC)%, diffusion capacity of the lung (DLCO%) and risk of death or lung transplantation between SLB and non-SLB patients. Adjustments were made for baseline age, sex, smoking history, antifibrotic use, and lung function. A similar analysis compared lung function changes 12 months pre- and post-SLB. RESULTS: A total of 81 SLB patients and 468 non-SLB patients were included. In the SLB group, the post-biopsy annual FVC% decline was 2.0% (±0.8) in unadjusted, and 2.1% (±0.8) in adjusted models. There was no difference in FVC% decline, DLCO% decline, or time to death or lung transplantation between the two groups, in adjusted or unadjusted models (all p-values >0.07). In the pre-post SLB group, no differences were identified in FVC% decline in unadjusted or adjusted models (p = 0.07 for both). CONCLUSION: No association between SLB and lung function decline or risk of death or lung transplantation was identified in this multi-centre study of patients with IPF.

Proteomic Networks and Related Genetic Variants Associated with Smoking and Chronic Obstructive Pulmonary Disease.

Background: Studies have identified individual blood biomarkers associated with chronic obstructive pulmonary disease (COPD) and related phenotypes. However, complex diseases such as COPD typically involve changes in multiple molecules with interconnections that may not be captured when considering single molecular features. Methods: Leveraging proteomic data from 3,173 COPDGene Non-Hispanic White (NHW) and African American (AA) participants, we applied sparse multiple canonical correlation network analysis (SmCCNet) to 4,776 proteins assayed on the SomaScan v4.0 platform to derive sparse networks of proteins associated with current vs. former smoking status, airflow obstruction, and emphysema quantitated from high-resolution computed tomography scans. We then used NetSHy, a dimension reduction technique leveraging network topology, to produce summary scores of each proteomic network, referred to as NetSHy scores. We next performed genome-wide association study (GWAS) to identify variants associated with the NetSHy scores, or network quantitative trait loci (nQTLs). Finally, we evaluated the replicability of the networks in an independent cohort, SPIROMICS. Results: We identified networks of 13 to 104 proteins for each phenotype and exposure in NHW and AA, and the derived NetSHy scores significantly associated with the variable of interests. Networks included known (sRAGE, ALPP, MIP1) and novel molecules (CA10, CPB1, HIS3, PXDN) and interactions involved in COPD pathogenesis. We observed 7 nQTL loci associated with NetSHy scores, 4 of which remained after conditional analysis. Networks for smoking status and emphysema, but not airflow obstruction, demonstrated a high degree of replicability across race groups and cohorts. Conclusions: In this work, we apply state-of-the-art molecular network generation and summarization approaches to proteomic data from COPDGene participants to uncover protein networks associated with COPD phenotypes. We further identify genetic associations with networks. This work discovers protein networks containing known and novel proteins and protein interactions associated with clinically relevant COPD phenotypes across race groups and cohorts.

SpaceANOVA: Spatial Co-occurrence Analysis of Cell Types in Multiplex Imaging Data Using Point Process and Functional ANOVA.

Multiplex imaging platforms have enabled the identification of the spatial organization of different types of cells in complex tissue or the tumor microenvironment. Exploring the potential variations in the spatial co-occurrence or colocalization of different cell types across distinct tissue or disease classes can provide significant pathological insights, paving the way for intervention strategies. However, the existing methods in this context either rely on stringent statistical assumptions or suffer from a lack of generalizability. We present a highly powerful method to study differential spatial co-occurrence of cell types across multiple tissue or disease groups, based on the theories of the Poisson point process and functional analysis of variance. Notably, the method accommodates multiple images per subject and addresses the problem of missing tissue regions, commonly encountered due to data-collection complexities. We demonstrate the superior statistical power and robustness of the method in comparison with existing approaches through realistic simulation studies. Furthermore, we apply the method to three real data sets on different diseases collected using different imaging platforms. In particular, one of these data sets reveals novel insights into the spatial characteristics of various types of colorectal adenoma.

Prevalence and drug susceptibility of clinical Candida species in nasopharyngeal cancer patients in Vietnam.

In the nature, Candida species are normal inhabitants and can be observed in a wide variety of vertebrates. In humans, especially for cancer patients who fall prey to opportunistic pathogens, this group of susceptible multi-drug resistant and biofilm-forming yeasts, are among the commonest ones. In this study, Candida species in 76 oral lesion samples from Vietnamese nasopharyngeal-cancer patients were isolated, morphologically identified using CHROMagar™, germ tube formation, and chlamydospore formation tests, and molecularly confirmed by PCR-RFLP. The drug susceptibility of these isolates was then tested, and the gene ERG11 was DNA sequenced to investigate the mechanism of resistance. The results showed that Candida albicans remained the most prevalent species (63.16% of the cases), followed by Candida glabrata, Candida tropicalis, and Candida krusei. The rates of resistance of non-albicans Candida for tested drugs were 85.71%, 53.57%, and 57.14% to fluconazole, clotrimazole, and miconazole, respectively. Although the drug-resistance rate of Candida albicans was lower than that of non-albicans Candida, it was higher than expected, suggesting an emerging drug-resistance phenomenon. Furthermore, ERG11 DNA sequencing revealed different mutations (especially K128T), implying the presence of multiple resistance mechanisms. Altogether, the results indicate an alarming drug-resistance situation in Candida species in Vietnamese cancer patients and emphasize the importance of species identification and their drug susceptibility prior to treatment.

SmCCNet 2.0: A Comprehensive Tool for Multi-omics Network Inference with Shiny Visualization.

Summary: Sparse multiple canonical correlation network analysis (SmCCNet) is a machine learning technique for integrating omics data along with a variable of interest (e.g., phenotype of complex disease), and reconstructing multi-omics networks that are specific to this variable. We present the second-generation SmCCNet (SmCCNet 2.0) that adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. In addition, this new package offers a streamlined setup process that can be configured manually or automatically, ensuring a flexible and user-friendly experience. Availability: This package is available in both CRAN: https://cran.r-project.org/web/packages/SmCCNet/index.html and Github: https://github.com/KechrisLab/SmCCNet under the MIT license. The network visualization tool is available at https://smccnet.shinyapps.io/smccnetnetwork/.

Designing phage cocktails to combat the emergence of bacteriophage-resistant mutants in multidrug-resistant Klebsiella pneumoniae.

IMPORTANCE: In this study, we aimed to design a novel and effective bacteriophage cocktail that can target both wild-type bacteria and phage-resistant mutants. To achieve this goal, we isolated four phages (U2874, phi_KPN_H2, phi_KPN_S3, and phi_KPN_HS3) that recognized different bacterial surface molecules using phage-resistant bacteria. We constructed three phage cocktails and tested their phage resistance-suppressing ability against multidrug-resistant Klebsiella pneumoniae. We argue that the phage cocktail that induces resensitization of phage susceptibility exhibited superior phage resistance-suppressing ability. Moreover, we observed trade-off effects that manifested progressively in phage-resistant bacteria. We hypothesize that such trade-off effects can augment therapeutic efficacy. We also recommend collating phage host range data against phage-resistant mutants in addition to wild-type bacteria when establishing phage banks to improve the efficiency of phage therapy. Our study underscores the importance of phage host range data in constructing effective phage cocktails for clinical use.

Dual targeting of mitochondrial Lon peptidase 1 and chymotrypsin-like protease by small molecule BT317, as potential therapeutics in malignant astrocytoma.

Malignant astrocytomas are aggressive glioma tumors characterized by extensive hypoxia-induced, mito-chondria-dependent changes such as altered respiration, increased chymotrypsin-like (CT-L) proteasome activity, decreased apoptosis, drug resistance, stemness and increased invasiveness. Mitochondrial Lon Peptidase I (LonP1) overexpression and increased CT-L proteasome inhibitors activity are the biomarkers of aggressive high grade glioma phenotype, poor prognosis and found to be associated with recurrence and poor patient survival, and drugs targeting either LonP1 or the CT-L activity have anti-glioma activity in pre-clinical models. We here for the first time introduced and evaluated a novel small molecule, BT317, derived from coumarinic compound 4 (CC4) using structure-activity modeling which we found to inhibit both LonP1 and CT-L proteasome activity. Using gain-of-function and loss-of-function genetic models, we dis-covered that BT317 is more effective than the individual LonP1 or CT-L inhibition in increasing reactive oxy-gen species (ROS) generation and inducing apoptosis in high-grade astrocytoma lines. In vitro, BT317 had activity as a single agent but, more importantly, enhanced synergy with the standard of care commonly used chemotherapeutic temozolomide (TMZ). In orthotopic xenograft, patient derived glioma models, BT317 was able to cross the blood-brain barrier, to show selective activity at the tumor site and to demonstrate therapeutic efficacy both as a single agent and in combination with TMZ. BT317 defines an emerging class of dual LonP1, and CT-L proteasome inhibitors exhibited promising anti-tumor activity and could be a promising candidate for clinical translation in the space of malignant astrocytoma therapeutics.

Appelmans protocol - A directed in vitro evolution enables induction and recombination of prophages with expanded host range.

Infections caused by carbapenem-resistant Acinetobacter baumannii (CRAB) present significant healthcare challenges due to limited treatment options. Bacteriophage (phage) therapy offers potential as an alternative treatment. However, the high host specificity of phages poses challenges for their therapeutic application. To broaden the phage spectrum, laboratory-based phage training using the Appelmans protocol was employed in this study. As a result, the protocol successfully expanded the host range of a phage cocktail targeting CRAB. Further analysis revealed that the expanded host range phages isolated from the output cocktail were identified as recombinant derivatives originating from prophages induced from encountered bacterial strains. These findings provide valuable genetic insights into the protocol's mechanism when applied to phages infecting A. baumannii strains that have never been investigated before. However, it is noteworthy that the expanded host range phages obtained from this protocol exhibited limited stability, raising concerns about their suitability for therapeutic purposes.

Comorbidity Burden and Treatment Patterns of Psoriasis in Vietnam: Real-World Data from the EXPAND Study.

INTRODUCTION: Psoriasis is a multi-faceted, immune-mediated inflammatory disease associated with a wide range of comorbidities. Real-world data on treatment patterns, comorbidities, and economic burden in patients with psoriasis are needed for comprehensive patient care in Vietnam. METHODS: A retrospective chart review study was conducted using secondary data extracted from patients' medical records of two hospitals in Vietnam, with the aim of identifying adult patients with a confirmed diagnosis of psoriasis. The index date was defined as the date of first diagnosis between 1 January 2020 and 31 October 2021. Sociodemographic factors, disease characteristics, comorbidities, medication usage, drug survival, and medication costs were analyzed. RESULTS: A total of 661 patients were identified (mean ± standard deviation [SD] age 43.5 ± 14.8 years). The most prevalent comorbidity was dyslipidemia (49.6% of patients), followed by hypertension (23.4%), and psoriatic arthritis (10.4%). In total, 44% of patients received biologic therapies. Overall, 66.7% and 54.3% of patients receiving biologic and non-biologic therapies, respectively, had ≥ 1 comorbidity. Only 23.2% of patients with psoriasis-related comorbidities stopped therapy with biologics. Biologics had a longer retention time (17.0 months) than non-biologics (6.0 months) in patients with comorbidities. Patients with comorbidities had significantly higher total annual healthcare costs than those without comorbidities (in US dollars: USD901 vs. USD304; p < 0.001), mainly due to the relatively higher costs associated with the use of biologics. CONCLUSION: Patients with psoriasis in Vietnam experience a high disease and economic burden due to comorbidities. Evidence from this real-world study supports the need for routine monitoring of and an appropriate treatment course for psoriasis-related comorbidities.

Pemphigus Foliaceus after COVID-19 Vaccination: A Report of Two Cases.

Autoimmune bullous diseases (AIBDs) following coronavirus disease (COVID-19) vaccination have been previously documented in medical literature, given the comparable nature of the RNA antigen in these vaccines to that of the cellular nuclear matter. However, pemphigus foliaceus has been reported less frequently than other postimmunization AIBDs worldwide. Two women were admitted to our hospital with skin erosion over their faces, trunks, and extremities after receiving COVID-19 vaccination. Upon examination and consultation with pathologists, the diagnosis of pemphigus foliaceus was confirmed for both patients. In an effort to contribute to the knowledge on this intriguing topic, we present these two aforementioned cases of pemphigus foliaceus following COVID-19 vaccination, which may initially appear as a typical occurrence but exhibit some noteworthy characteristics.

Outbreak of Sexually Transmitted Nongroupable Neisseria meningitidis-Associated Urethritis, Vietnam.

We report on an outbreak of nongroupable Neisseria meningitidis-associated urethritis, primarily among men who have sex with men in southern Vietnam. Nearly 50% of N. meningitidis isolates were resistant to ciprofloxacin. This emerging pathogen should be considered in the differential diagnosis and management of urethritis.

FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures.

Spatial heterogeneity in the tumor microenvironment (TME) plays a critical role in gaining insights into tumor development and progression. Conventional metrics typically capture the spatial differential between TME cellular patterns by either exploring the cell distributions in a pairwise fashion or aggregating the heterogeneity across multiple cell distributions without considering the spatial contribution. As such, none of the existing approaches has fully accounted for the simultaneous heterogeneity caused by both cellular diversity and spatial configurations of multiple cell categories. In this article, we propose an approach to leverage spatial entropy measures at multiple distance ranges to account for the spatial heterogeneity across different cellular organizations. Functional principal component analysis (FPCA) is applied to estimate FPC scores which are then served as predictors in a Cox regression model to investigate the impact of spatial heterogeneity in the TME on survival outcome, potentially adjusting for other confounders. Using a non-small cell lung cancer dataset (n = 153) as a case study, we found that the spatial heterogeneity in the TME cellular composition of CD14+ cells, CD19+ B cells, CD4+ and CD8+ T cells, and CK+ tumor cells, had a significant non-zero effect on the overall survival (p = 0.027). Furthermore, using a publicly available multiplexed ion beam imaging (MIBI) triple-negative breast cancer dataset (n = 33), our proposed method identified a significant impact of cellular interactions between tumor and immune cells on the overall survival (p = 0.046). In simulation studies under different spatial configurations, the proposed method demonstrated a high predictive power by accounting for both clinical effect and the impact of spatial heterogeneity.

SpaceANOVA: Spatial co-occurrence analysis of cell types in multiplex imaging data using point process and functional ANOVA.

Motivation: Multiplex imaging platforms have enabled the identification of the spatial organization of different types of cells in complex tissue or tumor microenvironment (TME). Exploring the potential variations in the spatial co-occurrence or co-localization of different cell types across distinct tissue or disease classes can provide significant pathological insights, paving the way for intervention strategies. However, the existing methods in this context either rely on stringent statistical assumptions or suffer from a lack of generalizability. Results: We present a highly powerful method to study differential spatial co-occurrence of cell types across multiple tissue or disease groups, based on the theories of the Poisson point process (PPP) and functional analysis of variance (FANOVA). Notably, the method accommodates multiple images per subject and addresses the problem of missing tissue regions, commonly encountered in such a context due to the complex nature of the data-collection procedure. We demonstrate the superior statistical power and robustness of the method in comparison to existing approaches through realistic simulation studies. Furthermore, we apply the method to three real datasets on different diseases collected using different imaging platforms. In particular, one of these datasets reveals novel insights into the spatial characteristics of various types of precursor lesions associated with colorectal cancer. Availability: The associated R package can be found here, https://github.com/sealx017/SpaceANOVA.

LonP1 Drives Proneural Mesenchymal Transition in IDH1-R132H Diffuse Glioma.

Malignant astroctyoma and glioblastoma are diffuse CNS tumors that have markedly similar features, including microvascular proliferation and necrosis, and the latter presents higher grade and poorer survival. The Isocitrate dehydrogenase 1/2 (IDH) mutation further predicts improved survival and is present in oligodendroglioma and astrocytoma. The latter are more prevalent in younger populations with a median age of 37 years at diagnosis as compared to glioblastoma with a median age of 641,2. These tumors frequently have co-occurring ATRX and/or TP53 mutations (Brat et al., 2021). The IDH mutation is known to cause dysregulation of the hypoxia response broadly in CNS tumors and subsequent reduction in both tumor growth and treatment resistance. The frequency of tumor recurrence is high for diffuse CNS tumors. Understanding the mechanism and potential molecular targets enhancing treatment resistance and local invasion in IDH mutant diffuse glioma is necessary for developing new treatment strategies for better tumor control and improving overall survival. Recent evidence highlights the importance of local foci in IDH mutant glioma with an accelerated stress response as responsible for recurrence in these tumors. Here, we demonstrate that LonP1 drives NRF2 and subsequent proneural mesenchymal transition interdependent with the IDH mutation in response to stress and other tumor microenvironment cues. Our findings provide further evidence that targeting LonP1 may be a crucial strategy for improving the standard-of-care treatment in IDH mutant diffuse astrocytoma.

A New Moisturiser Improves DNCB-induced Atopic Dermatitis-like Symptoms and Restores Skin Barrier Function in BALB/c Mice.

INTRODUCTION: Atopic dermatitis (AD) is a chronic, inflammatory skin disorder with eczematous and pruritic lesions. Topical moisturisers and either topical corticosteroids or calcineurin inhibitors are usually recommended. Restoring the skin barrier function alleviates AD symptoms. OBJECTIVE: To evaluate the efficacy of a new moisturiser compared to commercially available products in an AD murine model. METHODS: Experimental AD was induced with topical applications of 2,4-DiNitroChloroBenzene (DNCB) on the shaved back skin of BALB/c mice from Day 1 to Day 38. Mice were randomized to either Vehicle/-, DNCB/-, or DNCB/Eczekalm (test product), DNCB/Atopiclair®, or DNCB/Lipikar (reference products) groups. Once daily application of either Eczekalm or Atopiclair® or Lipikar on the AD lesion was performed from Day 32 to Day 38. The AD severity index (ADSI) and animal behaviour were monitored throughout the study. The trans-epidermal water loss (TEWL) was measured on the sacrifice day (Day 39). RESULTS: At Day39, ADSI in the DNCB/Eczekalm, DNCB/Lipikar, and DNCB/Atopiclair® groups were significantly lower by -70%, -68%, and -57%, respectively, as compared to DNCB/- (p < 0.001). No sign of erythema was observed in the DNCB/Eczekalm group. Mean scores of skin oedema, excoriation, and dryness in the DNCB/Eczekalm, DNCB/Lipikar, and DNCB/Atopiclair® groups were significantly lower than in the DNCB/-. No significant difference was observed between DNCB/Eczekalm and DNCB/Lipikar groups. Mean TEWL in DNCB/Eczekalm group was significantly lower than the ones of DNCB/Atopiclair® (-43%, p < 0.001) and DNCB/Lipikar (-15%, p < 0.05). CONCLUSION: Eczekalm treatment significantly reduced the inflammatory effects due to AD and itching episodes and restored the skin barrier function.

First description of congenital toxoplasmosis after maternal coinfection with Toxoplasma gondii and severe acute respiratory syndrome coronavirus 2: a case report.

BACKGROUND: Congenital toxoplasmosis can be associated with serious clinical consequences from fetus to adulthood. Hence, early detection is required to minimize severe sequelae through appropriate therapy. We describe the first case of a congenital toxoplasmosis after maternal coinfection with Toxoplasma gondii and severe acute respiratory syndrome coronavirus 2 and the challenging serological diagnosis of the disease in this context. CASE PRESENTATION: A Caucasian boy was born at 27 weeks 2 days of gestation by cesarean section due to maternal COVID-19-related respiratory failure. Postpartum serological screening of the mother revealed a previously unrecognized active Toxoplasma gondii infection. The premature child initially tested negative for anti- Toxoplasma gondii immunoglobulin A and M antibodies 1, 2 and 4 weeks after birth, whereas immunoglobulin G antibodies were only weakly positive with no evidence of child-specific production. Neither neurological nor ophthalmological abnormalities were detected. Approximately 3 months after birth, serological testing indicated a congenital toxoplasmosis by presence of immunoglobulin A and M, in combination with a child-specific immunoglobulin G synthesis. Additionally, cerebrospinal fluid was tested positive for Toxoplasma gondii DNA. Although no clinical manifestations of congenital toxoplasmosis were detected, an antiparasitic therapy was initiated to minimize the risk of late sequelae. There were no hints for a transplacental transmission of severe acute respiratory syndrome coronavirus 2. CONCLUSION: This case raises the awareness of possible coinfections with the risk of transplacental transmission in cases of maternal coronavirus disease 2019. The report emphasizes the need for screening vulnerable patients for toxoplasmosis in general and especially in the context of pregnancy. It becomes evident that prematurity can complicate the serological diagnosis of congenital toxoplasmosis due to a delayed antibody response. Repeated testing is recommended to carefully monitor children at risk and especially those with a history of preterm birth.

Associations between parent-child relationship, self-esteem, and resilience with life satisfaction and mental wellbeing of adolescents.

Purpose: Mental wellbeing and life satisfaction play an important role in the development of adolescents, yet factors potentially influencing these states have not been sufficiently studied, especially in Vietnam. This study aims to fill the research gaps by exploring the associations of the parent-child relationship, self-esteem, and resilience on the mental wellbeing and satisfaction with life of adolescents. Methods: A cross-sectional study was conducted from June to July 2020 on 1,023 adolescents from 10 to 18 years old living in Vietnam. To assess the satisfaction with life as well as the mental wellbeing of participants, this study used the Satisfaction with life and The World Health Organization-Five Wellbeing Index scale. Results: More than 70% of participants reported having conflicts with their parents (74.6% of those conflicted with their father ad 73.9% of those conflicted with their mother), while 26.3% stated dissatisfaction with life. The mean score of mental wellbeing was 61.5 (SD = 23.0). Higher academic performance, self-esteem, resilience, encounter loneliness and isolation within own family, and having support and sharing from family members had a positive effect on life satisfaction and mental wellbeing. Female participants had higher satisfaction with life score (Coef = 0.77; 95%CI = 0.10; 1.44) but they had a lower mental wellbeing score (Coef = -6.00; 95%CI = -8.57; -3.44) than male participants. High school students had lower both satisfaction with life and mental wellbeing scores than secondary students. Conclusion: The results highlight the importance of being aware of the influence that expectations (of higher grades) and bias (toward male children) imposed by parents, teachers, and society on the mental wellbeing of youths, especially in Asian cultures. Strengthening the family bond and encouraging young people to share their feeling is also crucial to enhancing the mental health condition of adolescents.