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Nevin Manimala Statistics

The effect of Internet use on adolescent nutritional outcomes: evidence from China

J Health Popul Nutr. 2025 Apr 26;44(1):138. doi: 10.1186/s41043-025-00856-9.

ABSTRACT

BACKGROUND: The increasing prevalence of adolescent overweight and obesity poses significant public health challenges, particularly in China. With the rapid adoption of the Internet, adolescents’ lifestyles, including dietary habits and physical activity levels, have undergone substantial changes. However, the causal relationship between Internet use and adolescent nutritional outcomes, especially in transitional economies, remains underexplored.

METHODS: This study employs longitudinal data from the China Health and Nutrition Survey (CHNS) and China Family Panel Studies (CFPS) to investigate the impact of Internet use on adolescents’ BMI-for-age z-scores and overweight status. An endogenous switching regression (ESR) model addresses potential self-selection bias. Heterogeneity analyses examine urban-rural and gender differences, while mechanism analyses identify dietary pathways influencing outcomes.

RESULTS: Internet use increases BMI-for-age z-scores and the likelihood of being overweight among adolescents, with more intensive Internet use further amplifying these effects. These effects hold across urban and rural areas as well as for both boys and girls, though the magnitude may vary. Mechanism analyses suggest that Internet use enhances protein intake while also leading to higher consumption of fast food and soft drinks.

CONCLUSION: Internet use increases BMI-for-age z-scores and overweight risks among adolescents, reinforcing the need for targeted interventions to mitigate its negative health impacts. Policies promoting healthier online behaviors and better access to nutritional education are essential to ensuring that adolescents develop healthy lifestyle habits in the digital age. Addressing these challenges can help policymakers develop equitable health strategies for adolescents in transitional economies.

PMID:40287688 | DOI:10.1186/s41043-025-00856-9

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Association between atherogenic index of plasma with all-cause and cardiovascular mortality in individuals with Cardiovascular-Kidney-Metabolic syndrome

Cardiovasc Diabetol. 2025 Apr 26;24(1):183. doi: 10.1186/s12933-025-02742-4.

ABSTRACT

BACKGROUND: Cardiovascular-Kidney-Metabolic (CKM) syndrome, as a new clinical concept, emphasizes the multifaceted interaction between metabolic disorders, chronic kidney disease (CKD), and cardiovascular disease (CVD). Some evidence suggests atherogenic index of plasma (AIP) is strongly linked to cardiovascular mortality. However, data on its association with mortality across CKM syndrome remain scarce. Our study aimed to investigate the association between AIP and all-cause and cardiovascular mortality among individuals with CKM syndrome.

METHODS: This study included 15,703 participants with CKM syndrome from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. The AIP index is calculated as log10(triglycerides/high-density lipoprotein cholesterol [TG/HDL-C]). Mortality outcomes were determined by linking NHANES participants with the National Death Index (NDI), with follow-up data available through December 31, 2019. Kaplan-Meier (K-M) survival curves, Cox regression analysis, restricted cubic spline (RCS) and subgroups analysis were used to explore the relationship between AIP levels and mortality in individuals with CKM syndrome.

RESULTS: Over a median follow-up of 7.67 years, a total of 1570 deaths were documented, including 344 cardiovascular deaths. Kaplan-Meier survival analysis demonstrated that the lowest all-cause and CVD mortality rates were observed in the lowest AIP tertile. Compared with individuals in the lowest AIP tertile, Cox analysis indicated that those in highest tertile were associated with a higher risk of all-cause and CVD mortality (HR = 1.19, 95% CI 1.08-1.31, P < 0.001; HR = 1.38, 95% CI 1.22-1.57, P < 0.001) after adjusting for covariates, respectively. As a continuous variable, AIP levels had an approximate positive linear dose-response relationship with all-cause and CVD mortality. Subgroup analysis revealed no significant interactions with the examined variables, except for gender.

CONCLUSIONS: This study demonstrated that elevated AIP levels in individuals with CKM syndrome are strongly linked to higher mortality risks, notably all-cause mortality in advanced stages and CVD mortality across both non-advanced and advanced stages. These findings further highlight the importance of AIP as a valuable risk biomarker, providing a simple and effective tool for identifying mortality risk in individuals with CKM syndrome.

PMID:40287685 | DOI:10.1186/s12933-025-02742-4

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Reorganization of work schedules for better distribution of work demands in home health care – a feasibility study

BMC Health Serv Res. 2025 Apr 26;25(1):608. doi: 10.1186/s12913-025-12746-1.

ABSTRACT

BACKGROUND: Given the home health care industry’s growth, increasing demand for workers, and complex patient care needs, investigating initiatives to maintain home health care workers’ health and ability to work is crucial. This study aims to assess the feasibility of an organizational intervention for equal distribution of physical and psychosocial work demands among home health care aides.

METHOD: We conducted a 7-week quasi-experimental feasibility study at a Danish home health care institution with 27 home health care aides. The 6SQuID framework was used to develop, test and evaluate the feasibility of the organizational intervention, inspired by the ‘Goldilocks Work Principle’. The intervention consisted of three activities: (1) classification workshop, (2) individual dialogue with a schedule coordinator, and (3) reorganizing work schedules. Feasibility was assessed through: (1) acceptability evaluated by interview and questionnaire post-intervention, (2) fidelity assessed by documentation during intervention, and (3) potential effects on selected psychosocial factors and physical work demands evaluated pre-post intervention with technical measurements and questionnaire.

RESULTS: Nineteen home health care aides participated in the evaluation of the intervention. Most of the home health care aides (73.33%) reported to like or really like the intervention. The interviewees expressed general acceptance of both the intervention activities and the overall aim of the intervention. Most home health care aides (77.8%) participated in the Classification workshop and 124 citizens were classified. All home health care aides participated in the Individual dialogue. No significant changes were seen in the Reorganized work schedules (p > 0.05). Physical and emotional fatigue and physical exertion showed statistically significant change (p < 0.05), with a mean difference of 17 and 11 (100 point scale), and 1.7 (10 point scale) points respectively.

CONCLUSION: This study found components of the intervention to be feasible, but concludes that adaptions to enhance implementation addressing barriers related to time pressure, improving fidelity to the intervention, and ensuring practical applicability within the home health care context are critical for future success.

TRIAL REGISTRATION: The study was registered in the ISRCTN registry under registration number ISRCTN15131198 on August 8, 2023.

PMID:40287681 | DOI:10.1186/s12913-025-12746-1

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Long-term exposure to particulate air pollution associated with the progression of type 2 diabetes mellitus in China: effect size and urban-rural disparities

BMC Public Health. 2025 Apr 26;25(1):1565. doi: 10.1186/s12889-025-22394-z.

ABSTRACT

BACKGROUND: Recent Western studies link long-term particulate matter (PM) exposure to type 2 diabetes mellitus (T2DM) progression, but little is known for low- and middle-income countries. This study aimed to estimate the relationship between PM exposure and T2DM progression in China, and also assess urban-rural disparities.

METHODS: Using 7-year cohort data of 1.3 million Chinese over 40, a multistate model estimated the associations of PM exposure with T2DM progression. Covariates included demographics, socioeconomic status, health behaviors, medication, and meteorological factors. Sub-sample analyses were done for rural and urban areas.

RESULTS: For participants exposed to high levels of PM 2.5 , the 5-year absolute risks of developing T2DM and its complications were 4.31% (95% CI: 4.22-4.40) and 31.04% (95% CI: 29.97-32.08), respectively. In the low- PM 2.5 -exposure group, these risks were 3.82% (95% CI: 3.74-3.91) and 30.55% (95% CI: 29.43-31.65). For each 10 µg/m3 increase in PM 2.5 exposure, the HRs (95% CI) for the progression from no T2DM diagnosis to a T2DM diagnosis were 1.13 (1.13-1.14), and for the progression from T2DM to the development of T2DM complications were 1.04 (1.03-1.06). Moreover, the HRs (95% CI) for mortality risk were 1.09 (1.08-1.09) for participants without T2DM, 1.06 (1.00-1.14) for those with T2DM, and 1.10 (1.05-1.16) for those with T2DM complications. Similar associations were observed for other PM-related metrics. In rural areas, PM exposure was more strongly associated with the progression from T2DM and its complications to death. Conversely, in urban areas, PM exposure had a stronger association with the progression from a non-T2DM state to a formal T2DM diagnosis. Urban residents are exposed to higher levels of toxic components like heavy metals, potentially increasing T2DM risk, yet urban healthcare infrastructure offers protection against T2DM-related mortality.

CONCLUSIONS: PM exposure is significantly associated with T2DM progression. Urban areas should focus on primary prevention, while rural areas need to improve secondary and tertiary prevention like healthcare services.

PMID:40287677 | DOI:10.1186/s12889-025-22394-z

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Integrating team-based and peer-teaching strategies for standardized dental residency: a path to active learning and professional growth

BMC Med Educ. 2025 Apr 26;25(1):618. doi: 10.1186/s12909-025-07023-y.

ABSTRACT

BACKGROUND: This study aimed to assess the effectiveness of an integrated Team-Based Learning (TBL) and Peer Teaching (PT) model in enhancing theoretical knowledge, clinical competencies, and engagement among dental residents, offering insights for improving stomatology education.

METHODS: This study was conducted at the affiliated stomatology hospital of Guangzhou medical university between 2021 and 2023. The 2021-22 cohort (n = 39) students received a traditional teacher-centered approach, whereas the 2022-23 cohort (n = 43) underwent a combined TBL and PT approach. Following a three-month training period, theoretical exams and OSCE were administered. Student engagement was evaluated using the SCEQ, and satisfaction was assessed through SSS. Data were analyzed using independent t-tests, Mann-Whitney U tests, and χ² tests, with statistical significance set at p < 0.05.

RESULTS: No significant baseline differences were observed in demographics. TBL + PT cohort demonstrated significantly higher theoretical test scores and OSCE performance in most assessed skills, including pulpotomy, tooth preparation, incision and suturing, and patient intake. Engagement scores were also significantly higher in the domains of emotional engagement and participation/interaction, and overall student satisfaction improved, particularly regarding teaching quality and student-centric learning methods. Word cloud analyses of student feedback revealed a stronger emphasis on collaboration, participation, and innovation in the TBL + PT cohort compared to the traditional group.

CONCLUSIONS: Incorporating Team-Based Learning and Peer Teaching into standardized dental residency training markedly enhanced theoretical knowledge, clinical proficiencies, and learner engagement. This instructional strategy improved residents’ technical competencies and cultivated stronger team collaboration, communication, and higher satisfaction levels, offering a promising alternative to traditional teaching for residency training in oral medicine.

PMID:40287670 | DOI:10.1186/s12909-025-07023-y

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Influence of wet and dry commercial diets on the oral microbiota of Yorkshire terriers

BMC Vet Res. 2025 Apr 26;21(1):290. doi: 10.1186/s12917-025-04533-1.

ABSTRACT

BACKGROUND: Periodontal disease is common in dogs and is initiated by the build-up of plaque on the tooth surface. There is evidence that the feeding of dry diets may help prevent the build-up of plaque and calculus compared to softer wet diets. The primary objective of this study was to determine whether diet format influences the microbial composition of dental plaque.

RESULTS: Subgingival (SG) and gingival margin (GM) plaque samples were collected from 28 Yorkshire terriers, housed within a research facility, between 37 and 53 weeks of age. Dogs were fed either wet commercial diets, dry commercial diets, or a simultaneous offering of the two. Illumina sequencing of the 16 S rRNA gene (variable regions 3 and 4) of 43 SG and 43 GM plaque samples resulted in the generation of 6,725,682 paired end reads. Exploratory factor analysis, a statistical method for dimensionality reduction of multivariate data, was used to identify groups of covarying bacterial species. Subsequent mixed effects modelling revealed significant differences in the scores of two of these groupings indicating systematic differences in prevalences of their component taxa. One grouping revealed that for GM plaque samples, the profile of bacterial species most descriptive of the wet diet was biased towards those associated with periodontal disease whereas for the dry diet it was biased towards those associated with healthy gingiva. The dogs fed a mixture of wet and dry diets had bacterial profiles in between the wet and dry diets, i.e. a mix of both health and disease associated taxa. The other bacterial grouping indicated that, in dogs fed a wet diet only, GM plaque was significantly associated with bacteria that preferred aerobic conditions whereas SG plaque was associated with taxa that favoured anaerobic conditions.

CONCLUSIONS: Although dry diets shifted the bacterial community towards a healthier profile compared to wet diets there was no evidence of improved periodontal health. Additional methods to maintain dental hygiene should therefore be promoted to ensure effective management of periodontal disease in dogs.

PMID:40287669 | DOI:10.1186/s12917-025-04533-1

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Analysis of Pharmaceutical Active Compounds in Complex Water Samples: Sample Filtration as an Option

Molecules. 2025 Apr 3;30(7):1609. doi: 10.3390/molecules30071609.

ABSTRACT

Sample pretreatment is one of the most important steps in guaranteeing the success of a chromatographic analysis. The selected methodology must ensure simultaneously that a sample is “clean” enough for analysis and that the target analytes are not removed in the process. This can be especially difficult when working with complex matrices such as natural waters and wastewater. For pharmaceutical active compounds (PhACs) analysis by solid-phase extraction (SPE) followed by ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS), and due to the high level of organic matter in wastewater, the water samples are filtered consecutively through three filters, a paper filter, a glass microfiber filter of 1 µm, and a Nylon filter of 0.45 µm. This filtration allows the sample’s passage through the SPE cartridge to be faster, and there is no cartridge clogging, allowing for greater efficiency in the adsorption process. The big question is whether the PhACs are eliminated during filtration, since they may be adsorbed to organic matter. This work aimed to determine if the best approach for quantifying PhACs in wastewater and surface waters would be to filter them prior or to perform SPE directly. Both approaches analyzed a total of 26 PhACs. Turbidity (TUR) and permanganate index (PI) were determined, and their values were high for samples with a high organic matter content. A statistical analysis was performed to determine the best approach to treat these water samples and whether any correlation existed between PhAC concentrations, PI, and TUR. The PhAC quantification shows a positive correlation with TUR and a negative correlation with PI for most of the target PhACs. However, there are not significantly different results for filtered and not-filtered wastewater samples.

PMID:40286260 | DOI:10.3390/molecules30071609

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Application of an Electronic Nose to the Prediction of Odorant Series in Wines Obtained with Saccharomyces or Non-Saccharomyces Yeast Strains

Molecules. 2025 Apr 2;30(7):1584. doi: 10.3390/molecules30071584.

ABSTRACT

Electronic noses (E-noses) have become powerful tools for the rapid and cost-effective differentiation of wines, providing valuable information for the comprehensive evaluation of aroma patterns. However, they need to be trained and validated using classical analytical techniques, such as gas chromatography coupled with mass spectrometry, which accurately identify the volatile compounds in wine. In this study, five low-ethanol wines with distinctive sensory profiles-produced using Saccharomyces and non-Saccharomyces yeasts and tailored to modern consumer preferences-were analyzed to validate the E-nose. A total of 57 volatile compounds were quantified, 27 of which had an Odor Activity Value (OAV) over 0.2. The content in volatiles, grouped into 11 odorant series according to their odor descriptors, along with the data provided by 12 E-nose sensors, underwent advanced statistical treatments to identify relationships between both data matrices. Partial least squares discriminant analysis (PLS-DA) applied to the data from the 12 E-nose sensors revealed well-defined clustering patterns and produced a model that explained approximately 92% of the observed variability. In addition, a principal component regression (PCR) model was developed to assess the ability of the E-nose to non-destructively predict odorant series in wine. The synergy between the volatile compound profiles and the pattern recognition capability of the E-nose, as captured by PLS-DA, enables a detailed characterization of wine aromas. In addition, predictive models that integrate data from gas chromatography, flame ionization detection, and mass spectrometry (GC-FID/GC-MSD) with the electronic nose demonstrating a promising approach for a rapid and accurate odor series prediction, thereby increasing the efficiency of wine aroma analysis.

PMID:40286168 | DOI:10.3390/molecules30071584

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Recovery of Chitin from Agaricus bisporus Mushrooms: Influence of Extraction Parameters and Supercritical CO2 Treatment on Fresh Mushrooms and Production Residues

Molecules. 2025 Mar 26;30(7):1479. doi: 10.3390/molecules30071479.

ABSTRACT

Chitin and chitosan, versatile biopolymers extensively used in the food and cosmetic industries, are traditionally sourced from crustaceans. However, fungi such as Agaricus bisporus mushrooms present a sustainable, non-animal alternative. This study explored the potential of different Agaricus bisporus samples, including fresh mushrooms and production residues, as sources of chitin. Given that Agaricus bisporus mushrooms are also a rich source of ergosterol, the study additionally incorporated samples treated with supercritical carbon dioxide (scCO2). The effects of deproteinisation conditions-specifically the number of successive extractions, sodium hydroxide concentration, and extraction time-were evaluated for fresh mushroom samples in terms of alkali-insoluble matter, chitin yields, and the degree of deacetylation (DD), with the latter determined by Fourier-transform infrared spectroscopy. The results indicated that extraction time had no statistically significant impact on AIM or chitin yield, while the DD increased with prolonged extraction, plateauing after 60 min. Higher sodium hydroxide concentrations enhanced deacetylation, but adversely affected extraction yields. No significant differences in chitin’s DD were observed between fresh mushroom and production residue samples, regardless of scCO2 treatment. This study demonstrates the viability of recovering chitin from Agaricus bisporus mushroom bio-residues, including those treated with scCO2, offering a sustainable and eco-friendly alternative for chitin production.

PMID:40286139 | DOI:10.3390/molecules30071479

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Synthesis of Imidazolidin-2-ones from trans-(R,R)-Diaminocyclohexane: A Statistical Analysis-Based Pseudo-Multicomponent Protocol

Molecules. 2025 Mar 22;30(7):1415. doi: 10.3390/molecules30071415.

ABSTRACT

A pseudo-multicomponent one-pot protocol for the synthesis of 1,3-disubstituted imidazolidin-2-one is described, employing trans-(R,R)-diaminocyclohexane for the in situ formation of the Schiff base, followed by reduction to produce the respective diamine and cyclization with carbonyldiimidazole (CDI). This approach utilizes statistical analysis to optimize the reaction conditions, allowing a pseudo-multicomponent protocol to be proposed. The developed method demonstrates sustainability, efficiency, and potential applications in green chemistry, achieving yields ranging from 55% to 81%. This represents a significant advance in synthesizing heterocyclic compounds with biological and pharmacological applications.

PMID:40286054 | DOI:10.3390/molecules30071415