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Nevin Manimala Statistics

Self-referrals and associated factors among laboring mothers at Dilla University Referral Hospital, Dilla, Gedeo Zone, Ethiopia: a cross-sectional study

BMC Womens Health. 2022 Oct 11;22(1):417. doi: 10.1186/s12905-022-02002-7.

ABSTRACT

BACKGROUND: When medical cases are difficult to manage at the level of primary health care units (PHCU), formal referral assists patients transferring to a higher level of care. In contrast, self-referral and bypassing are synonymously used in literature to describe the phenomenon of patients skipping their units to get basic medical services, even though they are close to their residence. Though proper and timely referral prevents the majority of deaths from obstetric complications in developing countries, more than 50% of referrals are self-referral trends. Such patient practice is increasingly becoming a concern for many health-care systems.

OBJECTIVE: To assess the magnitude of self-referrals and associated factors among laboring mothers at Gedeo Zone, Ethiopia.

METHODS: Facility-based cross-sectional study was conducted from August 1-September 30/2021 among laboring mothers at Dilla University Referral Hospital. A systematic random sampling technique was used to select 375 laboring mothers. Data were collected using a face-to-face interview with a structured questionnaire. Data were entered into a computer using Epi-Data 4.6 statistical program and then exported to STATA version 16 for analysis. In bivariate analysis variables with a p-value ≤ 0.25 were selected as a candidate variable for the multivariable analysis. P-value < 0.05 at 95% confidence interval considered as a statistically significant associations in the multivariable analysis.

RESULT: 375 eligible mothers participated in the study, with a response rate of 98.16%. The magnitude of self-referrals among laboring mothers was 246 (65.6%) with 95% CI (0.60-0.70). Time ≥ 30 min to reach nearby facilities (AOR = 1.74, 95% CI, 1.08, 2.81), having no medicine supplies at nearby facilities (AOR = 1.75, 95% CI, 1.08, 2.82), having no equipment and supplies at nearby facilities (AOR = 1.70, 95% CI, 1.03, 2.78), having ANC visits ˃ 3 times (AOR = 0.29, 95% CI, 0.15, 0.55) and having poor perception of health provider technical competence at nearby facilities (AOR = 2.97, 95% CI, 1.83, 4.79) were found as significant factors for self-referral.

CONCLUSION: The magnitude of self-referral was high. Frequent Antenatal visits were protective, however time to reach the nearest facilities, perception towards health care providers, medicine, equipment and supplies at the nearest facilities were positive influencing factors. Government stakeholders should keep working on improving the quality of health service, especially at primary health care units(PHCU).

PMID:36221100 | DOI:10.1186/s12905-022-02002-7

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Nevin Manimala Statistics

The effect of neuromuscular electrical stimulation on serum glucose levels in children and adolescents with type-1 diabetes mellitus: a single group clinical trial

BMC Endocr Disord. 2022 Oct 11;22(1):246. doi: 10.1186/s12902-022-01149-6.

ABSTRACT

BACKGROUND: This study aimed to evaluate the effect of Neuromuscular Electrical Stimulation (NMES) on serum glucose level in children and adolescents with type-1 diabetes.

METHODS: This before-after, single-group, clinical trial was conducted on 29 patients with type-1 diabetes mellitus with the age range of 7-18 years. The patients underwent NMES in two 20-minute phases on the quadriceps and hamstrings muscles, three sessions per week for a period of 8 weeks. Fasting Blood Sugar (FBS), measured in two ways, by glucometer and laboratory testing, was considered as the primary outcome and the glycated hemoglobin (HbA1c) and the total daily dose (TDD) of insulin were measured as the secondary outcomes. The laboratory FBS and HbA1c were measured 1 day before the intervention (as a baseline value) and then 2 and 6 weeks after the last session of intervention. FBS by glucometer and total daily dose of insulin were recorded daily from 2 weeks before the intervention to the last day of the intervention and consequently, the weekly average of these variables was calculated and used for statistical analysis.

RESULTS: The serum level of FBS (measured by glucometer) and the total daily dose of insulin reduced significantly 2 weeks after beginning of intervention. The laboratory serum level of FBS decreased significantly in the second week after the end of intervention compared to the baseline values. Although the HbA1c level decreased at follow-up period (2 and 6 weeks after the intervention), it was not significant.

CONCLUSION: It seems that 8 weeks of NMES has beneficial effects on the reduction of FBS and TDD of insulin therefore, it could be suggested as the contributory treatment in management of children and adolescents with type-1 diabetes.

TRIAL REGISTRATION: The study was registered at https://fa.irct.ir/user/trial/51739/view (IRCT20100523003998N1) in date of 25/10/2020.

PMID:36221091 | DOI:10.1186/s12902-022-01149-6

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Nevin Manimala Statistics

Prevalence of sexual harassment among young Spaniards before, during, and after the COVID-19 lockdown period in Spain

BMC Public Health. 2022 Oct 11;22(1):1888. doi: 10.1186/s12889-022-14264-9.

ABSTRACT

BACKGROUND: Sexual harassment is a type of coercion, including social pressure, intimidation, physical force, and verbal acts, in addition to other forms such as cyber-harassment, recognized as a major important public health problem.

METHODS: This cross-sectional study, based on a survey administered online to men and women aged 18 to 35 years and living in Spain throughout 15th and 28th October 2020, aims to analyze the prevalence and factors associated with sexual harassment among young people in Spain within the last 12 months, particularly according to the COVID-19 lockdown period. It has been conducted by bivariate analysis and robust Poisson regression models. The final sample includes 2.515 participants.

RESULTS: The results indicate that women were almost twice as likely as men to experience sexual harassment (49% vs 22.2%). Also, among heterosexual men and women, the estimated prevalence was lower concerning that observed among bisexuals, gays, and lesbians (31.5% vs 53, 39.2, and 34.6% respectively). The prevalence percentage in the 18-24 age group was twice high as that observed in the 30-35 age group. Finally, during the lockdown period, the harassment through electronic channels increased (32.6% vs 16.5 and 17.8% before and after this period, respectively) and decreased on public roads (22.9% vs 63.4 and 54.4% pre-lockdown and post-lockdown periods, respectively).

CONCLUSION: These findings highlight that sexual harassment presents a high prevalence among young people, especially cyber-harassment, and workplace harassment and it is important to be aware that young women are more likely to suffer harassment and even more if they do not have a partner or have LGB orientation. During the lockdown sexual harassment has moved from public spaces to the social network.

PMID:36221078 | DOI:10.1186/s12889-022-14264-9

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Nevin Manimala Statistics

Association between triglyceride glucose index and atherosclerotic plaques and Burden: findings from a community-based study

Cardiovasc Diabetol. 2022 Oct 11;21(1):204. doi: 10.1186/s12933-022-01638-x.

ABSTRACT

BACKGROUND: Insulin resistance is an important cause of cardiovascular events and cerebral infarction development. We aimed to investigate the association of the triglyceride glucose (TyG) index with atherosclerotic burden and plaques in coronary, intra- and extracranial arteries in participants with non-diabetes, and compared the results with that of the homeostasis model assessment of insulin resistance (HOMA-IR).

METHODS: Participants without diabetes in the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were included. We categorized participants by tertiles of the TyG index and the concordance/discordance of the TyG index and HOMA-IR. Discordance was defined as a TyG index equal to or greater than the median and HOMA-IR less than the median, or vice versa. The atherosclerosis plaques and burden in coronary, intra- and extracranial arteries were evaluated. The association of HOMA-IR and TyG index with the presence of atherosclerotic plaques and atherosclerotic burden was assessed by binary and ordinal logistic regression models, respectively.

RESULTS: Among 2,719 included participants, the average age was 60.9 (± 6.6) years, and 53.0% were female. Both TyG index and HOMA-IR were associated with increased odds of coronary/intra- and extracranial atherosclerotic plaques and burden after adjustment for age, sex, currenting smoking and drinking (all P < 0.05). However, the association between HOMA-IR and intracranial atherosclerosis was not statistically significant after adjustment for all potential confounders. Discordantly high TyG index with HOMA-IR had a higher odd of extracranial plaque (odds ratio [OR]: 1.34, 95% confidence interval [CI]: 1.04-1.71), extracranial atherosclerotic burden (common odds ratio [cOR]: 1.35, 95% CI 1.06-1.71), coronary plaque (OR: 1.30, 95% CI 1.01-1.68) and segment stenosis score (cOR: 1.39, 95% CI 1.09-1.78) as compared with concordantly low TyG index with HOMA-IR. The TyG index had a better net reclassification improvement ability than HOMA-IR for atherosclerotic plaques when adding to baseline model.

CONCLUSION: Elevated TyG index was associated with increased odds of atherosclerosis in coronary/intra- and extracranial arteries. Compared with HOMA-IR, the TyG index was more strongly associated with intracranial atherosclerosis. Moreover, discordantly high TyG index with HOMA-IR was also important for atherosclerosis identification.

PMID:36221073 | DOI:10.1186/s12933-022-01638-x

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Nevin Manimala Statistics

Deep learning algorithm reveals two prognostic subtypes in patients with gliomas

BMC Bioinformatics. 2022 Oct 11;23(1):417. doi: 10.1186/s12859-022-04970-x.

ABSTRACT

BACKGROUND: Gliomas are highly complex and heterogeneous tumors, rendering prognosis prediction challenging. The advent of deep learning algorithms and the accessibility of multi-omic data represent a new approach for the identification of survival-sensitive subtypes. Herein, an autoencoder-based approach was used to identify two survival-sensitive subtypes using RNA sequencing (RNA-seq) and DNA methylation (DNAm) data from The Cancer Genome Atlas (TCGA) dataset. The subtypes were used as labels to build a support vector machine model with cross-validation. We validated the robustness of the model on Chinese Glioma Genome Atlas (CGGA) dataset. DNAm-driven genes were identified by integrating DNAm and gene expression profiling analyses using the R MethylMix package and carried out for further enrichment analysis.

RESULTS: For TCGA dataset, the model produced a high C-index (0.92 ± 0.02), low brier score (0.16 ± 0.02), and significant log-rank p value (p < 0.0001). The model also had a decent performance for CGGA dataset (CGGA DNAm: C-index of 0.70, brier score of 0.21; CGGA RNA-seq: C-index of 0.79, brier score of 0.18). Moreover, we identified 389 DNAm-driven genes of survival-sensitive subtypes, which were significantly enriched in the glutathione metabolism pathway.

CONCLUSIONS: Our study identified two survival-sensitive subtypes of glioma and provided insights into the molecular mechanisms underlying glioma development; thus, potentially providing a new target for the prognostic prediction of gliomas and supporting personalized treatment strategies.

PMID:36221066 | DOI:10.1186/s12859-022-04970-x

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Nevin Manimala Statistics

Failure to consolidate statistical learning in developmental dyslexia

Psychon Bull Rev. 2022 Oct 11. doi: 10.3758/s13423-022-02169-y. Online ahead of print.

ABSTRACT

Statistical learning (SL), the ability to pick up patterns in sensory input, serves as one of the building blocks of language acquisition. Although SL has been studied extensively in developmental dyslexia (DD), much less is known about the way SL evolves over time. The handful of studies examining this question were all limited to the acquisition of motor sequential knowledge or highly learned segmented linguistic units. Here we examined memory consolidation of statistical regularities in adults with DD and typically developed (TD) readers by using auditory SL requiring the segmentation of units from continuous input, which represents one of the earliest learning challenges in language acquisition. DD and TD groups were exposed to tones in a probabilistically determined sequential structure varying in difficulty and subsequently tested for recognition of novel short sequences that adhered to this statistical pattern in immediate and delayed-recall sessions separated by a night of sleep. SL performance of the DD group at the easy and hard difficulty levels was poorer than that of the TD group in the immediate-recall session. Importantly, DD participants showed a significant overnight deterioration in SL performance at the medium difficulty level compared to TD, who instead showed overnight stabilization of the learned information. These findings imply that SL difficulties in DD may arise not only from impaired initial learning but also due to a failure to consolidate statistically structured information into long-term memory. We hypothesize that these deficits disrupt the typical course of language acquisition in those with DD.

PMID:36221045 | DOI:10.3758/s13423-022-02169-y

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Nevin Manimala Statistics

The mediating effects of depression, anxiety, and rapid eye movement sleep behavior disorder on the association between dopaminergic replacement therapy and impulse control disorders in Parkinson’s disease

Neurol Sci. 2022 Oct 12. doi: 10.1007/s10072-022-06443-8. Online ahead of print.

ABSTRACT

OBJECTIVES: This study aims to longitudinally explore whether and how rapid eye movement sleep behavior disorder (RBD), depression, and anxiety mediate the association between dopaminergic replacement therapy (DRT) and impulse control disorders (ICDs) in patients with Parkinson’s disease (PD).

METHODS: Subjects were selected from the Parkinson’s Progression Markers Initiative. After excluding missing data, 268, 223, 218, 238, and 219 patients with PD diagnosed at 12, 24, 36, 48, and 60 months prior, respectively, were included. We used the Questionnaire for Impulsive-Compulsive Disorders, RBD Screening Questionnaire, Geriatric Depression Scale, and State-Trait-Anxiety Inventory to assess ICBs, RBD, depression, and anxiety, respectively. We constructed three causal mediation analysis models to infer potential contingent pathways from DRT to ICD mediated by depression, anxiety, and RBD separately.

RESULTS: DRT was associated with an increased risk of PD incidence. Aggravation of ICDs was partly explained by improvements in depression (the average causal mediation effect accounted for 8.0% of the total effect) and RBD (the average causal mediation effect of RBD accounted for 16.4% of the total effect). This suggested that anxiety (the average causal mediation effect accounted for 12.7% of the total effect) plays a mediating role.

CONCLUSIONS: Focusing on changes in RBD, depression, and anxiety associated with hyperdopaminergic status should be an essential part of strategies to prevent ICDs in patients with Parkinson’s disease.

PMID:36221041 | DOI:10.1007/s10072-022-06443-8

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Nevin Manimala Statistics

Local monitoring of SARS-CoV-2 variants in two large California counties in 2021

Sci Rep. 2022 Oct 11;12(1):17046. doi: 10.1038/s41598-022-21481-0.

ABSTRACT

Coronavirus Disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), continues to persist due to mutations resulting in newer, more infectious variants of concern. We aimed to leverage an ongoing private SARS-CoV-2 testing laboratory’s infrastructure to monitor SARS-CoV-2 variants in two large California counties. Study enrollment was offered to adults aged 18 years or older in Los Angeles County and Riverside County who recently tested positive for SARS-CoV-2 with a polymerase chain reaction (PCR) assay. A cycle threshold value less than or equal to 30 cycles was considered a positive test for sequencing purposes. Within 5 days of study enrollment, clinician-monitored, self-collected oral fluid and anterior nares swab specimens were obtained from participants. Specimens were transported and stored at 8 °C or cooler. Samples underwent ribonucleic acid extraction, library preparation, and sequencing. SARS-CoV-2 lineages were identified using sequencing data. Participant and genomic data were analyzed using statistical tools and visualized with toolkits. The study was approved by Advarra Institutional Review Board (Pro00053729). From May 27, 2021 to September 9, 2021, 503 individuals were enrolled and underwent specimen collection. Of the 503 participants, 238 (47.3%) participants were women, 329 (63.6%) participants were vaccinated, and 221 (43.9%) participants were of Hispanic or Spanish origin. Of the cohort, 496 (98.6%) participants had symptoms at the time of collection. Among the 503 samples, 443 (88.1%) nasal specimens and 353 (70.2%) oral specimens yielded positive sequencing results. Over our study period, the prevalence of the Alpha variant of SARS-CoV-2 decreased (initially 23.1% [95% confidence interval (95% CI): 0-0.49%] to 0% [95% CI 0.0-0.0%]) as the prevalence of the Delta variant of SARS-CoV-2 increased (initially 33.3% [95% CI 0.0-100.0%] to 100.0% [95% CI 100.0-100.0%]). A strain that carried mutations of both Delta and Mu was identified. We found that outpatient SARS-CoV-2 variant surveillance could be conducted in a timely and accurate manner. The prevalence of different variants changed over time. A higher proportion of nasal specimens yielded results versus oral specimens. Timely and regional outpatient SARS-CoV-2 variant surveillance could be used for public health efforts to identify changes in SARS-CoV-2 strain epidemiology.

PMID:36221029 | DOI:10.1038/s41598-022-21481-0

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Nevin Manimala Statistics

Assessment of Tissue Oxidative Stress, Antioxidant Parameters, and Zinc and Copper Levels in Patients with Breast Cancer

Biol Trace Elem Res. 2022 Oct 12. doi: 10.1007/s12011-022-03439-5. Online ahead of print.

ABSTRACT

Breast cancer is a multifactorial disease, and among the many factors which are involved in the onset, progression, and invasion of the disease, oxidative stress plays a significant role. The concentration and activity of enzymatic antioxidants are proportional to the concentration of trace elements, and the concentration of trace elements is often deficient in malignancies. Therefore, in the present study, we studied the tissue levels of oxidative stress, antioxidant status, zinc (Zn), and copper (Cu) in breast cancer patients. Tissue samples were collected from 40 patients with breast cancer and 40 tumor margin tissue as a control group. All subjects gave their informed consent. The tissue samples were measured for superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX), total antioxidants capacity (TAC), total oxidant status (TOS), oxidative stress index (OSI), malondialdehyde (MDA), Zn, and Cu. Data of all biochemical parameters of two groups were statistically analyzed by SPSS software, t test, and GraphPad Prism. Concentrations of MDA, TOS, and OSI in tumor tissue were significantly higher than tumor margin tissue, but the level of TAC and CAT, SOD, and GPX activities was significantly reduced in tumor tissue (p<0.05). It was found that the concentrations of Zn and Cu in breast cancer patients were higher than tumor margin tissue. Patients with breast cancer have a rise in oxidative stress indicators and a decrease in antioxidant stress markers. Since oxidative stress is a significant contributor to the development and progression of breast cancer, more research might lead to a more effective method of breast cancer treatment. Considering the dual role of oxidative stress in cancer, which can both cause survival and adaptation, and the death of cancer cells, and with more information, it can be used to manage the treatment and destruction of cancer cells.

PMID:36221018 | DOI:10.1007/s12011-022-03439-5

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Nevin Manimala Statistics

A feasibility study to assess Mediterranean Diet adherence using an AI-powered system

Sci Rep. 2022 Oct 11;12(1):17008. doi: 10.1038/s41598-022-21421-y.

ABSTRACT

Mediterranean diet (MD) can play a major role in decreasing the risks of non-communicable diseases and preventing overweight and obesity. In order for a person to follow the MD and assess their adherence to it, proper dietary assessment methods are required. We have developed an Artificial Intelligence-powered system that recognizes the food and drink items from a single meal photo and estimates their respective serving size, and integrated it into a smartphone application that automatically calculates MD adherence score and outputs a weekly feedback report. We compared the MD adherence score of four users as calculated by the system versus an expert dietitian, and the mean difference was 3.5% and statistically not significant. Afterwards, we conducted a feasibility study with 24 participants, to evaluate the system’s performance and to gather the users’ and dietitians’ feedback. The image recognition system achieved 61.8% mean Average Precision for the testing set and 57.3% for the feasibility study images (where the ground truth was taken as the participants’ annotations). The feedback from the participants of the feasibility study was also very positive.

PMID:36220998 | DOI:10.1038/s41598-022-21421-y