Nevin Manimala

JMIR Mhealth Uhealth. 2026 Mar 31;14:e57046. doi: 10.2196/57046.

ABSTRACT

BACKGROUND: Technology-based solutions to support the mental health needs of workers are on the rise, as evidenced by the growing body of research related to e-mental health apps implemented with workers or within the context of workplaces. This expanding landscape of evidence related to mental health apps underscores the necessity of summarizing and consolidating the different ways in which studies are evaluating real-world technology-based interventions in a complex setting such as a workplace.

OBJECTIVE: The aim of this scoping review is to summarize the growing body of evidence evaluating mental health apps with workers. Specific research questions include “What types of mental health apps are studied?” “With whom are they being evaluated?” and “What outcomes are being tracked with what tools?”

METHODS: The scoping review followed 5 stages: specifying the research question, identifying relevant literature, selecting studies, extracting data, and synthesizing the findings. The search strategy was applied across 6 databases (PsycINFO, Embase, MEDLINE, Cochrane Database, OVID Healthstar, and OVID Emcare) to identify relevant studies from January 2000 to August 2023.

RESULTS: From the 288 abstracts screened, 54 studies met the inclusion criteria for this review. Over two-thirds of the studies were randomized controlled trials. The studies included 44 different apps, comprising 23 structured self-guided apps, 15 unstructured self-guided apps, and 6 apps designed as adjuncts to other interventions. Evaluation approaches included examining user engagement and utilization, investigating the impact on users, and evaluating the implementation process. Most studies evaluated the impact on individual mental health-related outcomes as well as workplace-related outcomes.

CONCLUSIONS: This scoping review provides a comprehensive overview of the ways in which studies are currently evaluating workplace mental health apps. The review highlights key trends and gaps in the existing research, noting that most studies focus on the effects of mental health apps on individual users, while only a limited number of studies explore how implementing such dynamic interventions within complex real-world settings (eg, workplaces) may influence their overall effectiveness. Future research should explore the implementation process to identify factors that promote and/or hinder the optimal use and impact of mental health apps for workers.

PMID:41915896 | DOI:10.2196/57046

J Med Internet Res. 2026 Mar 31;28:e82285. doi: 10.2196/82285.

ABSTRACT

BACKGROUND: Telemedicine has expanded rapidly in recent years, with particularly pronounced growth following the COVID-19 pandemic. By improving access to care and offering greater flexibility in service delivery, it has become an important component of health care. Although the benefits of telemedicine for patients are well documented, its effects on physician job satisfaction remain insufficiently understood. Given the importance of job satisfaction for workforce stability, physician well-being, and quality of care, further examination of how telemedicine affects physician job satisfaction is warranted.

OBJECTIVE: This study aims to examine the association between telemedicine adoption and physician job satisfaction and to assess whether the physician-patient relationship mediates this association.

METHODS: A cross-sectional survey was conducted among health care professionals in Xi’an, China. Data were collected between November 7 and December 8, 2023, via an online questionnaire administered using the REDCap (Research Electronic Data Capture; Vanderbilt University) platform. A total of 12,052 physicians were included in the analysis. Physician job satisfaction was measured using a validated 6-point Likert scale. Telemedicine adoption was assessed through self-report. A partial proportional odds model was used to examine the association between telemedicine adoption and job satisfaction, adjusting for a comprehensive set of potential confounders. Additionally, the Karlson-Holm-Breen (KHB) decomposition method was used to explore the mediating role of physician-patient relationship quality in this association.

RESULTS: Among 12,052 surveyed physicians, 1642 (13.62%) reported adopting telemedicine, whereas 10,410 (86.38%) did not. After adjusting for demographic characteristics, work-related factors, psychological factors, and physician-patient relationship, telemedicine adoption was significantly associated with higher job satisfaction (odds ratio [OR] 1.17, 95% CI 1.05-1.30). Findings were robust across multiple sensitivity analyses. Subgroup analyses indicated that the association did not vary across physician subgroups, and no significant interaction effects were observed. Mediation analysis revealed a total effect of telemedicine on job satisfaction of 0.33 (95% CI 0.17-0.50), with an indirect effect of 0.10 (95% CI 0.07-0.13) through improved physician-patient relationships, accounting for 30.30% of the total effect.

CONCLUSIONS: These findings suggest that telemedicine adoption is positively associated with physician job satisfaction, partially mediated by the physician-patient relationship. Policies should promote telemedicine adoption while prioritizing platform designs that support effective physician-patient interactions to enhance provider well-being and care outcomes.

PMID:41915895 | DOI:10.2196/82285

Rev Esc Enferm USP. 2026 Mar 23;60:e20250335. doi: 10.1590/1980-220X-REEUSP-2025-0335en. eCollection 2026.

ABSTRACT

OBJECTIVE: To analyze the sociocognitive determinants of adherence to standard precautions by the nursing staff in a Brazilian regional hospital.

METHOD: Mixed methodology study, explanatory sequential design, conducted between January 2023 and March 2024, with 230 professionals. The Brazilian version of Standard Precautions Questionnaire and semi-structured interviews were used. The quantitative analysis employed the Mann-Whitney test, and the qualitative analysis, content analysis.

RESULTS: The overall mean sociocognitive adherence score was 3.90 (SD = 0.48), with the highest score in the “Attitude” factor (4.60; SD = 0.48) and the lowest in “Organizational Constraints” (2.95; SD = 1.17). Significant differences were identified between professional categories in “Social Influence” (nurses: 4.72; technicians: 4.79; p = 0.001) and “Organization” (nurses: 4.60; technicians: 4.49; p = 0.033). The integration of the findings demonstrated convergence between quantitative and qualitative data, showing that adherence, although satisfactory, is influenced by work-related factors.

CONCLUSIONS: Technicians demonstrated greater social influence, while nurses identified more organizational barriers. Peer example encourages adherence, despite the persistent fear of reprimands for non-compliance with best practices.

PMID:41915861 | DOI:10.1590/1980-220X-REEUSP-2025-0335en

Eur J Public Health. 2026 Mar 14;36(2):ckag054. doi: 10.1093/eurpub/ckag054.

ABSTRACT

Understanding the environmental impact of food consumption is essential for addressing climate change and water scarcity. This study investigates the carbon and water footprints (WFs) of dietary habits in Italy, identifying sociodemographic and dietary determinants influencing these impacts. We conducted a cross-sectional analysis using data from the nationally representative Italian National Food Consumption Survey (INRAN-SCAI) 2005-06, which included 2831 participants. Daily food intake was multiplied by environmental coefficients from the SU-EATABLE LIFE database to estimate carbon (kg CO2 eq) and water (l) footprints. We used multiple regression models to assess associations between environmental indicators and individual characteristics, including age, sex, education, body mass index, geographical area, and adherence to the Mediterranean diet (MD). The mean daily carbon footprint (CF) was 3.53 kg CO2 eq, and the mean WF was 3331 l. Animal-based food groups were the main contributors to both footprints, particularly meat, which accounted for 6.87% of the total CF and 27.54% of the total WF, and dairy products, contributing 20.0% to CF and 21.3% to WF. Higher adherence to the MD was associated with lower carbon (9.84 vs 11.01 kg CO2 eq) and WFs (9356.0 vs 10 348.3 l). Multiple analysis showed this association remained significant for both carbon (β = -0.239) and WFs (β = -206.4), independent of energy intake. Animal-based foods and specific sociodemographic factors substantially influence the environmental impact of diet. Promoting Mediterranean-style, plant-based diet through targeted policies for specific populations could enhance environmental sustainability.

PMID:41915858 | DOI:10.1093/eurpub/ckag054

JMIR Hum Factors. 2026 Mar 31;13:e76550. doi: 10.2196/76550.

ABSTRACT

BACKGROUND: Data dashboards are popular tools for supporting routine monitoring and decision-making in public health. Two dashboards were developed in Côte d’Ivoire to visualize laboratory data on HIV viral load (VL) and early infant diagnosis (EID) testing.

OBJECTIVE: This study assessed the attitudes and experiences regarding data-driven decision-making and the VL and EID dashboards among existing and potential dashboard users in Côte d’Ivoire.

METHODS: We conducted a qualitative study including 2 focus group discussions (FGDs) and 12 in-depth interviews (IDIs). The conceptual framework for the use of health data in decision-making guided the FGDs, and the Consolidated Framework for Implementation Research informed the IDIs. We used deductive and inductive approaches to analyze the interview data.

RESULTS: The 26 participants were from 17 organizations; 11 (42.3%) were female. The participants reported a supportive data culture that valued data-driven decision-making and external pressure from the United States President’s Emergency Plan for AIDS Relief (PEPFAR) that motivated data use. The dashboards were considered useful for monitoring performances and making decisions for service delivery and laboratory operations. Existing users used the dashboards regularly. Potential users expressed interest in the speed and ability to track progress. The participants considered the dashboards simple and straightforward compared to other analytical tools but suggested updating the dashboards more frequently and visualizing more data.

CONCLUSIONS: The study highlighted the importance of supportive data culture and the potential of dashboards to promote data use. However, challenges such as limited access to the internet and equipment for potential users need to be addressed.

PMID:41915845 | DOI:10.2196/76550

J Int Med Res. 2026 Mar;54(3):3000605261436561. doi: 10.1177/03000605261436561. Epub 2026 Mar 31.

ABSTRACT

ObjectiveTo compare the efficacy of robot-assisted versus traditional core decompression combined with human umbilical cord-derived mesenchymal stem cell transplantation for osteonecrosis of the femoral head.MethodsA total of thirty-eight patients were divided into two groups according to the surgical technique. The observation group (20 patients, 28 hips) underwent robot-assisted core decompression, while the control group (18 patients, 22 hips) underwent traditional decompression. Both groups underwent human umbilical cord-derived mesenchymal stem cell implantation. Relevant parameters were compared between the groups.ResultsAt the final follow-up, the observation group showed lower visual analog scale scores and necrotic volume as well as higher Harris hip scores and femoral head survival rates than the control group; however, these differences were not statistically significant. The observation group required significantly fewer intraoperative fluoroscopies, experienced less intraoperative blood loss, and had a shorter operation time than the control group (all p < 0.01).ConclusionOur findings suggests that the robotic-assisted technique demonstrates comparable clinical and radiological outcomes as the traditional technique in the treatment of osteonecrosis of the femoral head. However, it may offer significant advantages in terms of surgical precision.

PMID:41915812 | DOI:10.1177/03000605261436561

Clin Child Psychol Psychiatry. 2026 Mar 31:13591045251396371. doi: 10.1177/13591045251396371. Online ahead of print.

ABSTRACT

BackgroundTraditional bullying and cyberbullying have many negative physical and psychological consequences on adolescents.AimIn this study, the effects of a school-based bullying prevention program on adolescents’ traditional bullying and cyberbullying victimization, tendencies and future expectations were examined.MethodThis research is a randomized controlled experimental study with a pretest-posttest design. The data of the study were collected adolescents studying a school in the Southeastern Anatolia Region of Turkey between September and October 2024. The study was completed with a total of 169 adolescents. The adolescents in the intervention group were included in the school-based bullying prevention program.ResultsAdolescents who were included in the school-based bullying prevention program had statistically significantly lower mean scores of physical victimization and bullying, verbal victimization and bullying, and relational victimization and bullying, and higher mean scores of future expectations total scale than adolescents who were not included in the program in the measurements made one month after the program.ConclusionsSchool-based bullying prevention program is effective in reducing traditional bullying and victimization of adolescents and increasing their future expectations. It is thought that school-based interventions to improve adolescents’ future expectations will contribute to reducing bullying and victimization rates of adolescents.

PMID:41915809 | DOI:10.1177/13591045251396371

JMIR Res Protoc. 2026 Mar 31;15:e65833. doi: 10.2196/65833.

ABSTRACT

BACKGROUND: All around the world, the hairdressing sector constitutes a major occupational group, including about 90% women, most of whom are of reproductive age. Hairdressers are continuously exposed to numerous chemicals used in hair products, including endocrine-disrupting compounds such as resorcinol, parabens, phthalates, and UV filters. Few biomonitoring studies have explored occupational exposure to endocrine disruptors in hairdressers, and no data were found on their impact on the thyroid hormone system. Resorcinol is an oxidative hair dye with thyroid-disrupting properties that decrease thyroid hormone synthesis and could alter neurodevelopmental functions during fetal and perinatal stages in case of maternal exposure.

OBJECTIVE: This study aims to assess the occupational exposure to resorcinol in French hairdressers and analyze the relationship with biological thyroid parameters, taking into account the occupational exposure to other potential thyroid disruptors (parabens and UV filters like benzophenone and cinnamates).

METHODS: An exposed-unexposed cross-sectional study is proposed involving female hairdressers aged 18 to 45 years (working in hair salons) compared to occupationally unexposed controls (employed in office activities), who are recruited within 14 French occupational health centers. The hairdressers are followed during a 5-day working week to assess exposure data at both the individual level and the salon level. Urinary samples for the measurement of thyroid disruptors (resorcinol, parabens, metabolites of ethylhexyl methoxycinnamate, and benzophenone-3) are collected at 6 time points (before the day 1 shift, before and after the day 3 and day 4 shifts, and before the day 5 shift). Daily work tasks and use of hair products are self-reported within the workplace, and a complete inventory of hair products within the salon is carried out. Thyroid disruption effects are assessed by measuring blood thyroid parameters: triiodothyronine, thyroxine, thyroid-stimulating hormone, thyroglobulin, thyroperoxidase, and thyroglobulin antibodies. To assess nonoccupational exposure to thyroid disruptors and other confounding factors, information on sociodemographic data, place of residence, food and tobacco consumption, personal use of care products, professional career, and medical history is collected through questionnaires. Regarding statistical analysis, urinary samples from hairdressers and controls will be compared, and adjusted multivariable models will be used to analyze health outcomes.

RESULTS: The study duration extends from 2022 to 2027. As of December 2025, 9 occupational health centers have enrolled 66 hairdressers (employed in 54 hair salons) and 30 occupationally unexposed participants.

CONCLUSIONS: The results will represent the first data on occupational exposure to resorcinol in France and its relationship with thyroid hormones in hairdressers. Following a multidisciplinary approach that includes biomonitoring, epidemiology, and exposure data collection at both the hairdressers and salon levels, this study enables an in-depth assessment of exposure to the thyroid disruptors in the workplace. Together with the inventory of hair products, these results may enhance the tools for chemical risk assessment and prevention in hair salons.

PMID:41915798 | DOI:10.2196/65833

Antimicrob Agents Chemother. 2026 Mar 31:e0110125. doi: 10.1128/aac.01101-25. Online ahead of print.

ABSTRACT

Venetoclax (VEN), a selective BCL-2 inhibitor predominantly metabolized by CYP3A4, is a cornerstone therapeutic for myeloid neoplasms (MNs). Patients with myeloid malignancies are at elevated risk of invasive fungal infections (IFIs), and triazole antifungal drugs, such as posaconazole (PCZ) and voriconazole (VCZ), are commonly used for prophylaxis or treatment. These agents are potent CYP3A4 inhibitors and will exhibit significant potential for pharmacokinetic drug-drug interactions with VEN. Although studies on their interaction are limited, such combinations are frequently used in clinical practice, making further research highly significant. This study aimed to investigate the changes in blood concentration and the safety of VEN when combined with triazole antifungal drugs (PCZ and VCZ). Patients with MN treated with VEN from April 2023 to April 2025 were enrolled and allocated to the VEN monotherapy group and the VEN plus triazole antifungal drug group. We collected baseline demographic characteristics and monitored adverse events. Steady-state plasma concentrations of VEN were quantified using the liquid chromatography-mass spectrometry methodology. Statistical analyses, including comparative assessments of plasma concentrations and adverse event rates, were performed using IBM SPSS Statistics 26. A total of 54 patients were enrolled in the study. Following VEN dose reduction to 100 mg, plasma concentrations in the VEN + PCZ/VCZ group remained significantly elevated compared to the VEN group (P < 0.001). However, the magnitude of this elevation did not differ significantly between the VEN + PCZ group and the VEN + VCZ group (P = 0.176). In addition, there was no linear correlation between VEN concentration and PCZ/VCZ concentration. Safety analysis revealed no statistically significant differences between the two groups in the incidence of grade ≥3 hematological adverse events (P = 0.214) or severe (grade ≥3) gastrointestinal adverse events (P = 0.671). VEN combined with PCZ or VCZ resulted in significantly higher VEN exposure without a corresponding increase in severe hematological or gastrointestinal toxicity. This strategy effectively mitigates IFI risk without compromising the safety profile of VEN therapy.

PMID:41915767 | DOI:10.1128/aac.01101-25

Proc Natl Acad Sci U S A. 2026 Apr 7;123(14):e2600004123. doi: 10.1073/pnas.2600004123. Epub 2026 Mar 31.

ABSTRACT

Quantitative genetics is essential for genetic dissection of complex traits, yet the existing theory fails to illustrate a comprehensive landscape of genetic control mechanisms driving phenotypic variation and evolution. Here, we develop a statistical approach to assemble all genome loci into omnigenic interactome networks from diplotyped sequencing data. Such networks can not only capture dominance, epistasis, and pleiotropy and leverage these genetic concepts as bidirectional, signed, and weighted interactions among alleles and nonalleles, but also establish a framework for dissecting the genetic architecture of any single individual. While traditional approaches can only estimate coarse-grained genetic parameters at the population level, our approach can portray a fine-grained picture involving how each allele acts and interacts with every other allele for a single individual, thus facilitating its genome editing and genome engineering. By analyzing transcriptomic data of two diplotyped cultivars of a woody plant, our approach can interpret the genetic mechanisms underlying this species’ cold resistance and interorgan communication. Our network-centric approach, generalized as a graph statistics theory, builds the foundation of individualized quantitative genetics, a theory that can make genetics even more transformational to precision breeding or precision medicine.

PMID:41915744 | DOI:10.1073/pnas.2600004123