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Nevin Manimala Statistics

Effect of acupuncture combined with rehabilitation on cognitive and motor functions in poststroke patients

Anat Rec (Hoboken). 2021 Jun 30. doi: 10.1002/ar.24700. Online ahead of print.

ABSTRACT

The aim of the study was to explore the effect of acupuncture combined with rehabilitation on cognitive and motor functions in poststroke patients. All patients were divided into Group A and Group B based on different interventions (Group A: acupuncture + conventional rehabilitation, Group B: conventional rehabilitation alone). Acupuncture was conducted once a day, five times a week for 8 weeks, and rehabilitation (including physical therapy and occupational therapy) was conducted for 2 hr per session, once a day, five times a week for 8 weeks. Mini-mental State Examination (MMSE) and Fugl-Meyer Assessment (FMA) were used to assess the motor and cognitive functions at baseline and the end of 8 weeks. After the intervention, FMA and MMSE scores were improved significantly in the two groups (p <.05), compared with the scores prior to intervention. After 8 weeks of intervention, a statistically significant difference in the FMA and MMSE scores was observed between the Group A and the Group B. The results suggested that the combined intervention is more effective than the conventional rehabilitation alone in improving cognitive and motor functions in poststroke patients.

PMID:34192418 | DOI:10.1002/ar.24700

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Nevin Manimala Statistics

Rising healthcare expenditure on tuberculosis in India: Can India achieve the End-Tb goal?

Trop Med Int Health. 2021 Jun 30. doi: 10.1111/tmi.13648. Online ahead of print.

ABSTRACT

OBJECTIVE: To examine the out-of-pocket expenditure, health care burden , catastrophic health expenditure, hardship financing, and impoverishment effects of TB treatment in India.

METHODS: ata of three rounds of National Statistic Surveys 60th 2004-05, 71st 2013-14 and 75th 2017-18. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the out-of-pocket expenditure, health care burden, catastrophic health expenditure, hardship financing and impoverishment using standard definitions at December 2019 price values.

RESULTS: More than two-thirds of the TB cases are seen in the economically productive age group (14-59 years). Illiterate patients had a higher healthcare burden and out-of-pocket expenditure. The healthcare burden, hardship financing and catastrophic health expenditure are considerably higher for those utilising private hospitals. Male patients have a higher exposure to hardship financing than female patients. Impoverishment effects are higher among Hindus and illiterate populations due to utilization of hospitalization services.

CONCLUSION: The present analysis helps understand the trends in the financial burden of TB on households over last 15 years, thus providing evidence to policymakers for more effective channeling of resources in order to achieve a TB-free India by 2025.

PMID:34192385 | DOI:10.1111/tmi.13648

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Nevin Manimala Statistics

Does self-monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta-analysis

Obes Rev. 2021 Jun 30:e13306. doi: 10.1111/obr.13306. Online ahead of print.

ABSTRACT

Establish whether digital self-monitoring of diet and physical activity is effective at supporting weight loss, increasing physical activity and improving eating behavior in adults with obesity or overweight, and determine the intervention components that might explain variations in its effectiveness. A systematic search of MEDLINE, Embase, PsycINFO, Web of Science, Scopus, Cinahl, and CENTRAL identified 4068 studies, of which 12 randomized controlled trials were eligible and included in the review. A random-effect meta-analysis evaluated intervention effectiveness and subgroup analyses tested for effective intervention content. Twelve studies were included in the review and meta-analysis. Digital self-monitoring of both diet and physical activity had a statistically significant effect at supporting weight loss (mean difference [MD] = -2.87 [95% CI -3.78, -1.96], P < 0.001, I2 = 69%), improving moderate physical activity (standardized mean difference [SMD] = 0.44 [95% CI 0.26, 0.62], P < 0.001, I2 = 0%), and reducing calorie intake (MD = -181.71 [95% CI -304.72, -58.70], P < 0.01, I2 = 0%). Tailored interventions were significantly more effective than nontailored interventions (x2 = 12.92, P < 0.001). Digital self-monitoring of physical activity and diet is an effective intervention to support weight loss in adults with obesity or overweight. This effect is significantly associated with tailored advice. Future studies should use rigorous designs to explore intervention effectiveness to support weight loss as an adjunct to weight management services.

PMID:34192411 | DOI:10.1111/obr.13306

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Nevin Manimala Statistics

Optimising sampling design and sequencing strategy for the genomic analysis of quantitative traits in natural populations

Mol Ecol Resour. 2021 Jun 30. doi: 10.1111/1755-0998.13458. Online ahead of print.

ABSTRACT

Mapping the genes underlying ecologically relevant traits in natural populations is fundamental to develop a molecular understanding of species adaptation. Current sequencing technologies enable the characterisation of a species’ genetic diversity across the landscape or even over its whole range. The relevant capture of the genetic diversity across the landscape is critical for a successful genetic mapping of traits and there are no clear guidelines on how to achieve an optimal sampling and which sequencing strategy to implement. Here we determine through simulation, the sampling scheme that maximises the power to map the genetic basis of a complex trait in an outbreeding species across an idealised landscape and draw genomic predictions for the trait, comparing individual and pool sequencing strategies. Our results show that QTL detection power and prediction accuracy are higher when more populations over the landscape are sampled and this is more cost-effectively done with pool sequencing than with individual sequencing. Additionally, we recommend sampling populations from areas of high genetic diversity. As progress in sequencing enables the integration of trait-based functional ecology into landscape genomics studies, these findings will guide study designs allowing direct measures of genetic effects in natural populations across the environment.

PMID:34192415 | DOI:10.1111/1755-0998.13458

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Nevin Manimala Statistics

The association between breastfeeding and non-alcoholic fatty liver disease in parous women: A nationwide cohort study

Hepatology. 2021 Jun 30. doi: 10.1002/hep.32034. Online ahead of print.

ABSTRACT

BACKGROUND & AIMS: Breastfeeding has multiple effects on maternal health outcomes. However, the effect of breastfeeding on non-alcoholic fatty liver disease (NAFLD) in parous women remains unclear.

METHOD: A total of 6,893 Korean parous women aged 30 to 50 years who participated in the Korean National Health and Nutrition Examination Survey were assessed for the association between breastfeeding and NAFLD. The duration of lactation was calculated by dividing the total lactation period by the number of breastfed children. NAFLD was defined by the hepatic steatosis index (HSI).

RESULTS: Of 6,893 women, 1,049 (15.2%) had NAFLD. The prevalence of NAFLD was 18.3%, 14.3%, 12.3%, 14.4%, and 15.8% in women with a breastfeeding period of < 1 month, ≥ 1 to < 3 months, ≥ 3 to < 6 months, ≥ 6 to < 12 months, and ≥ 12 months, respectively. In a fully-adjusted model, breastfeeding (≥ 1 month) was associated with reduced NAFLD prevalence [odds ratio (OR): 0.67, 95% confidence intervals (CIs): 0.51-0.89] after adjusting for metabolic, socioeconomic, and maternal risk factors. Fully-adjusted ORs (95% CIs) decreased with an increase of breastfeeding duration: 0.74 (0.49-1.11), 0.70 (0.47-1.05), 0.67 (0.48-0.94), and 0.64 (0.46-0.89) for women with ≥ 1 to < 3 months, ≥ 3 to < 6 months, ≥ 6 to < 12 months, and ≥ 12 months of breastfeeding duration, respectively, compared to women with < 1 month of breastfeeding duration. Such association was also observed in all pre-defined subgroups without interaction.

CONCLUSION: Breastfeeding showed a protective effect against NAFLD in later life of parous women, suggesting a maternal benefit of breastfeeding on NAFLD.

PMID:34192367 | DOI:10.1002/hep.32034

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Nevin Manimala Statistics

Association between waking-state oral behaviors, according to the Oral Behaviors Checklist, and TMD subgroups

J Oral Rehabil. 2021 Jun 30. doi: 10.1111/joor.13221. Online ahead of print.

ABSTRACT

OBJECTIVES: To assess the association between waking-state oral behaviors and temporomandibular disorder (TMD) subgroups, and to develop new scoring methods for the Oral Behavior Checklist (OBC).

METHODS: Patients with any TMD diagnosis, according to the diagnostic criteria for TMD (DC/TMD), were divided into subgroups: “Dysfunctional-TMD” (n=70), only mechanical dysfunction; “Painful-TMD” (n=204), only myalgia, arthralgia, or both; and “Painful-Dysfunctional TMD” (n=95), combined pain and dysfunction. A group of individuals without TMD, “Non-TMD” (n=374), was used for testing associations. Participants completed the OBC. An exploratory factor analysis, followed by a confirmatory factor analysis of the OBC responses, identified 2 major factors, named Non-Functional Activities (NFA) and Functional Activities (FA). Component total scores were computed. Differences among subgroups for OBC-MS (Mean Score) and NFA and FA factor scores were estimated using one-way ANOVA and Tukey post-hoc tests. Significance was set at P<0.05.

RESULTS: The OBC-MS in Non-TMD, Painful-TMD, and Painful-Dysfunctional TMD subgroups was higher than in the Dysfunctional-TMD subgroup (p≤0.001). NFA in Painful-TMD and Painful-Dysfunctional TMD subgroups were higher than in the Non-TMD group (p<0.05); NFA in the Dysfunctional-TMD subgroup were lower than in the Painful-TMD subgroup (p=0.034). In contrast, FA in Painful-TMD, Dysfunctional-TMD, and Painful-Dysfunctional TMD subgroups were lower than in the Non-TMD group (p<0.0001).

CONCLUSIONS: A new scoring method for the OBC results in item reduction and creation of meaningful subscales for functional and non-functional behaviors, which are differentially associated with painful and dysfunctional TMDs. This may help clinicians to better tailor treatment for the management of subtypes of TMD patients.

PMID:34192368 | DOI:10.1111/joor.13221

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Nevin Manimala Statistics

Glycowork: A Python package for glycan data science and machine learning

Glycobiology. 2021 Jun 29:cwab067. doi: 10.1093/glycob/cwab067. Online ahead of print.

ABSTRACT

While glycans are crucial for biological processes, existing analysis modalities make it difficult for researchers with limited computational background to include these diverse carbohydrates into workflows. Here, we present glycowork, an open-source Python package designed for glycan-related data science and machine learning by end users. Glycowork includes functions to, for instance, automatically annotate glycan motifs and analyze their distributions via heatmaps and statistical enrichment. We also provide visualization methods, routines to interact with stored databases, trained machine learning models, and learned glycan representations. We envision that glycowork can extract further insights from glycan datasets and demonstrate this with workflows that analyze glycan motifs in various biological contexts. Glycowork can be freely accessed at https://github.com/BojarLab/glycowork/.

PMID:34192308 | DOI:10.1093/glycob/cwab067

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Nevin Manimala Statistics

The Effect of Different Polishing Systems on the Surface Roughness of Nanocomposites: Contact Profilometry and SEM Analyses

Oper Dent. 2021 Jun 30. doi: 10.2341/20-157-L. Online ahead of print.

ABSTRACT

The aim of this study was to evaluate the effects of different polishing systems on the surface roughness of different nanocomposite resins using various analysis methods. Three types of nanocomposite resins were investigated in this study: supra-nanohybrid (Estelite Asteria), nanohybrid (GrandioSo), and nanoceramic composite resins (Ceram-X Spheretec One). Forty-eight disc-shaped specimens (4 mm in diameter, 2 mm in thickness) were fabricated using a Teflon mold and divided into four groups according to the different polishing systems (n=12). All specimens were processed with one of the following methods: Mylar strip (control), one-step polishers (Opti1step), two-step polishers (Clearfil TwistDia), or multistep polishers (Sof-Lex XT Pop-on). The surface roughness (Ra, μm) was measured by contact profilometry (Mahr, Marsurf PS1) (n=10) and scanning electron microscopy (SEM) (Thermo Fisher Scientific, Phenom XL) at 400× magnification (n=2). The data were statistically analyzed using Kruskal-Wallis and Bonferroni correction tests (p<0.05). In addition, the surface morphology and elemental content were examined by SEM and energy dispersive x-ray spectroscopy (EDS) analyses. Under SEM evaluation, in terms of the polishing systems, there were no significant differences in the surface roughness for supra-nanohybrid composite resin (p>0.05). The multistep polishers created lower surface roughness than the one-step polishers for nanohybrid and nanoceramic composites. In terms of the composite resins, supra-nanohybrid composite exhibited lower surface roughness than nanohybrid composite for all polishing systems (p<0.05). The SEM observations confirmed the surface roughness measurements related to the surface morphology. One-step and two-step polishers created porosity on the surface of nanohybrid and nanoceramic composites. EDS analysis indicated the elemental composition of the particles in the porous zones was quite close to diamond abrasives and glass fillers.

PMID:34192336 | DOI:10.2341/20-157-L

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Nevin Manimala Statistics

A Computational Model for Estimating the Progression of COVID-19 Cases in the US West and East Coast Population Regions

Exp Results. 2020 Aug 20;1:e41. doi: 10.1017/exp.2020.45. eCollection 2020.

ABSTRACT

The ongoing coronavirus disease 2019 (COVID-19) pandemic is of global concern and has recently emerged in the US. In this paper, we construct a stochastic variant of the SEIR model to estimate a quasi-worst-case scenario prediction of the COVID-19 outbreak in the US West and East Coast population regions by considering the different phases of response implemented by the US as well as transmission dynamics of COVID-19 in countries that were most affected. The model is then fitted to current data and implemented using Runge-Kutta methods. Our computation results predict that the number of new cases would peak around mid-April 2020 and begin to abate by July provided that appropriate COVID-19 measures are promptly implemented and followed, and that the number of cases of COVID-19 might be significantly mitigated by having greater numbers of functional testing kits available for screening. The model is also sensitive to assigned parameter values and reflects the importance of healthcare preparedness during pandemics.

PMID:34192225 | PMC:PMC7557233 | DOI:10.1017/exp.2020.45

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Nevin Manimala Statistics

Unmet needs for mental care services for older people in Bangladesh during the COVID-19 pandemic

Gen Psychiatr. 2020 Nov 5;33(6):e100294. doi: 10.1136/gpsych-2020-100294. eCollection 2020.

NO ABSTRACT

PMID:34192237 | PMC:PMC7646317 | DOI:10.1136/gpsych-2020-100294