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Nevin Manimala Statistics

The Impact of Social Media in Afghanistan: A Multi-Disciplinary Study

J Multidiscip Healthc. 2024 Jul 5;17:3121-3139. doi: 10.2147/JMDH.S468845. eCollection 2024.

ABSTRACT

BACKGROUND: The rapid growth of social media has profoundly transformed communication, community building, and information sharing worldwide. In Afghanistan, the proliferation of social media platforms has significantly impacted the social, cultural, and political landscape, particularly among the youth.

OBJECTIVE: This multi-disciplinary study aims to explore the diverse effects of social media on Afghan youth, focusing on usage patterns, mental health implications, entertainment-driven time allocation, financial expenditures, exposure to explicit content, and academic performance.

METHODS: A cross-sectional online survey was conducted between September and December 2023, gathering responses from 1556 participants (67% males, 33% females) through various social media platforms. Data were analyzed using SPSS version 26.0, employing statistical tests such as ANOVA and Chi-Square to examine relationships between social media usage and its impacts.

RESULTS: The study reveals significant links between social media usage and demographic, behavioral, and mental health factors. Key findings include Facebook as the most used platform (83.6%), with the majority of participants spending 1-3 hours daily on social media. Age differences in time spent were significant (F=15.64, p<0.001). Entertainment was the primary use (45.5%), with gender differences in engagement levels. High anxiety (78.5%) and moderate depression (38.3%) were reported. Significant associations between social media use and mental health were found (eg, χ2=591.87, p<0.001 for nervousness). Excessive use negatively impacted study habits, with 25.7% feeling it hindered their academic performance.

CONCLUSION: This study highlights the multifaceted impacts of social media on Afghan youth, including both positive aspects like enhanced communication and empowerment and negative aspects such as mental health issues and academic challenges. The significant relationships between social media usage and various life aspects underscore the need for targeted interventions to promote healthy digital habits and mitigate adverse effects. Further research is recommended to explore long-term impacts and effective strategies for managing social media use among Afghan youth.

PMID:39045489 | PMC:PMC11264374 | DOI:10.2147/JMDH.S468845

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Nevin Manimala Statistics

Choices of morbidity outcomes and concentration-response functions for health risk assessment of long-term exposure to air pollution

Environ Epidemiol. 2024 Jun 25;8(4):e314. doi: 10.1097/EE9.0000000000000314. eCollection 2024 Aug.

ABSTRACT

BACKGROUND: Air pollution health risk assessment (HRA) has been typically conducted for all causes and cause-specific mortality based on concentration-response functions (CRFs) from meta-analyses that synthesize the evidence on air pollution health effects. There is a need for a similar systematic approach for HRA for morbidity outcomes, which have often been omitted from HRA of air pollution, thus underestimating the full air pollution burden. We aimed to compile from the existing systematic reviews and meta-analyses CRFs for the incidence of several diseases that could be applied in HRA. To achieve this goal, we have developed a comprehensive strategy for the appraisal of the systematic reviews and meta-analyses that examine the relationship between long-term exposure to particulate matter with an aerodynamic diameter smaller than 2.5 µm (PM2.5), nitrogen dioxide (NO2), or ozone (O3) and incidence of various diseases.

METHODS: To establish the basis for our evaluation, we considered the causality determinations provided by the US Environmental Protection Agency Integrated Science Assessment for PM2.5, NO2, and O3. We developed a list of pollutant/outcome pairs based on these assessments and the evidence of a causal relationship between air pollutants and specific health outcomes. We conducted a comprehensive literature search using two databases and identified 75 relevant systematic reviews and meta-analyses for PM2.5 and NO2. We found no relevant reviews for long-term exposure to ozone. We evaluated the reliability of these studies using an adaptation of the AMSTAR 2 tool, which assesses various characteristics of the reviews, such as literature search, data extraction, statistical analysis, and bias evaluation. The tool’s adaptation focused on issues relevant to studies on the health effects of air pollution. Based on our assessment, we selected reviews that could be credible sources of CRF for HRA. We also assessed the confidence in the findings of the selected systematic reviews and meta-analyses as the sources of CRF for HRA. We developed specific criteria for the evaluation, considering factors such as the number of included studies, their geographical distribution, heterogeneity of study results, the statistical significance and precision of the pooled risk estimate in the meta-analysis, and consistency with more recent studies. Based on our assessment, we classified the outcomes into three lists: list A (a reliable quantification of health effects is possible in an HRA), list B+ (HRA is possible, but there is greater uncertainty around the reliability of the CRF compared to those included on list A), and list B- (HRA is not recommended because of the substantial uncertainty of the CRF).

RESULTS: In our final evaluation, list A includes six CRFs for PM2.5 (asthma in children, chronic obstructive pulmonary disease, ischemic heart disease events, stroke, hypertension, and lung cancer) and three outcomes for NO2 (asthma in children and in adults, and acute lower respiratory infections in children). Three additional outcomes (diabetes, dementia, and autism spectrum disorders) for PM2.5 were included in list B+. Recommended CRFs are related to the incidence (onset) of the diseases. The International Classification of Diseases, 10th revision codes, age ranges, and suggested concentration ranges are also specified to ensure consistency and applicability in an HRA. No specific suggestions were given for ozone because of the lack of relevant systematic reviews.

CONCLUSION: The suggestions formulated in this study, including CRFs selected from the available systematic reviews, can assist in conducting reliable HRAs and contribute to evidence-based decision-making in public health and environmental policy. Future research should continue to update and refine these suggestions as new evidence becomes available and methodologies evolve.

PMID:39045486 | PMC:PMC11265782 | DOI:10.1097/EE9.0000000000000314

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Nevin Manimala Statistics

Out-of-pocket expenses reported by families of children with medical complexity

Paediatr Child Health. 2023 Jul 19;29(4):216-223. doi: 10.1093/pch/pxad040. eCollection 2024 Jul.

ABSTRACT

OBJECTIVES: Due to their medical and technology dependence, families of children with medical complexity (CMC) have significant costs associated with care. Financial impact on families in general have been described, but detailed exploration of expenses in specific categories has not been systematically explored. Our objective was to describe out-of-pocket (OOP) expenses incurred by caregivers of CMC and to determine factors associated with increased expenditures.

METHODS: This is a secondary observational analysis of data primary caregiver-reported OOP expenses as part of a randomized control trial conducted in Ontario, Canada. Caregivers completed questionnaires reporting OOP costs. Descriptive statistics were utilized to report OOP expenses and a linear regression model was conducted.

RESULTS: 107 primary caregivers of CMC were included. The median (IQR) age of participants was 34.5 years (30.5 to 40.5) and 83.2% identified as the mother. The majority were married or common-law (86.9%) and 50.5% were employed. The participant’s children [median (IQR) age 4.5 (2.2 to 9.7); 57.9% male] most commonly had a neurological/neuromuscular primary diagnosis (46.1%) and 88% utilized medical technology. Total OOP expenses were $8,639 CDN annually (IQR = $4,661 to $31,326) with substantial expenses related to childcare/homemaking, travel to appointments, hospitalizations, and device costs. No factors associated with greater likelihood of OOP expenses were identified. A P-value of <0.05 was considered significant.

CONCLUSION: Caregivers of CMC incur significant OOP expenses related to the care of their children resulting in financial burden. Future exploration of the financial impact on caregiver productivity, employment, and identification of resources to mitigate OOP expenses will be important for this patient population.

PMID:39045474 | PMC:PMC11261824 | DOI:10.1093/pch/pxad040

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Nevin Manimala Statistics

Valid model-free spatial prediction

J Am Stat Assoc. 2024;119(546):904-914. doi: 10.1080/01621459.2022.2147531. Epub 2023 Jan 5.

ABSTRACT

Predicting the response at an unobserved location is a fundamental problem in spatial statistics. Given the difficulty in modeling spatial dependence, especially in non-stationary cases, model-based prediction intervals are at risk of misspecification bias that can negatively affect their validity. Here we present a new approach for model-free nonparametric spatial prediction based on the conformal prediction machinery. Our key observation is that spatial data can be treated as exactly or approximately exchangeable in a wide range of settings. In particular, under an infill asymptotic regime, we prove that the response values are, in a certain sense, locally approximately exchangeable for a broad class of spatial processes, and we develop a local spatial conformal prediction algorithm that yields valid prediction intervals without strong model assumptions like stationarity. Numerical examples with both real and simulated data confirm that the proposed conformal prediction intervals are valid and generally more efficient than existing model-based procedures for large datasets across a range of non-stationary and non-Gaussian settings.

PMID:39045463 | PMC:PMC11262549 | DOI:10.1080/01621459.2022.2147531

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Nevin Manimala Statistics

Diagnosing and Treating Depression and Anxiety in Patients with Cardiovascular Disorders and Diabetes Mellitus in Primary Healthcare: Is Training of Physicians Enough for Improvement?

Consort Psychiatr. 2021 Dec 31;2(4):2-12. doi: 10.17816/CP112. eCollection 2021.

ABSTRACT

INTRODUCTION: Common mental disorders – anxiety and depression – are prevalent among patients with cardiovascular disease (CVD) and diabetes mellitus type 2 (DM) and can negatively influence treatment outcomes and healthcare expenses. Despite the importance of management of depression and anxiety in primary care facilities, the diagnostics and treatment of these disorders remain insufficient in the Russian Federation.

AIM: To explore whether the rates of referrals to psychiatrists and indicated pharmacological treatment received due to depression or anxiety among patients with CVD and DM will significantly change in primary healthcare facilities after the training of primary care physicians (PCPhs) to deal with comorbid depression and anxiety (including the algorithm for referral to a psychiatrist).

METHODS: Patients in primary care outpatient settings with diagnoses of CVD and DM passed screening on anxiety and depression using the Hospital Anxiety and Depression Scale (HADS), and information about the indicated treatment for anxiety or depression was collected when present (Sample 1: n=400). The educational programme for PCPhs on the diagnostics of anxiety and depression was then performed, and PCPhs were instructed to refer patients with HADS >7 to a psychiatrist. After the training, the second sample was collected (Sample 2: n=178) using the same assessments as for Sample 1. The independent expert (psychiatrist) evaluated whether the patients had received the indicated pharmacological treatment according to the screening criteria used in the study for anxiety and depression for both samples.

RESULTS: The proportions of patients with borderline abnormal and abnormal HADS scores (>7) were 365 (91.2%) and 164 (92.1%) in Sample 1 and Sample 2, respectively. In Sample 1, among patients with HADS >7, 119 (29.8%) received psychopharmacological treatment, but in only 46 (38.7%) cases was it indicated in compliance with the screening criteria. In Sample 2, among patients with HADS >7, 59 (33.1%) received psychopharmacological treatment, and in only 14 (23.7%) cases was it indicated in compliance with the screening criteria. The differences in the indicated pharmacological treatment were not statistically significant, and no one from Sample 2 with HADS >7 met a psychiatrist through PCPh referral.

CONCLUSIONS: Anxiety and depression are prevalent in patients with CVD and DM treated in primary care facilities, but these patients may not be receiving the indicated pharmacological treatment. Barriers to referral and the use of psychiatric consultation exist despite the focused training of PCPhs and the straightforward referral protocol provided.

PMID:39045451 | PMC:PMC11262072 | DOI:10.17816/CP112

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Nevin Manimala Statistics

Fear of disease progression, self-management efficacy, and family functioning in patients with breast cancer: a cross-sectional relationship study

Front Psychol. 2024 Jul 9;15:1400695. doi: 10.3389/fpsyg.2024.1400695. eCollection 2024.

ABSTRACT

INTRODUCTION: Fear of disease progression (FoP) has been identified as one of the most prevalent unmet needs among breast cancer patients in recent years. The aim of this study was to examine FoP in patients with breast cancer and explore its associations with demographic and clinical characteristics, self-management efficacy, and family functioning. We also aimed to create a clinically-relevant prediction model based off of these factors (i.e., a “nomogram”) to help identify patients’ probability of experiencing high FoP.

METHODS: A cross-sectional survey of breast cancer in patients at the Affiliated Hospital of Jiangnan University was conducted from June 2023 to February 2024. The study included the Demographic and Clinical Characteristics Questionnaire, the Fear of Disease Progression Scale (FoP-Q-SF), the Chinese Self-Management Efficacy Scale for Cancer Patients (C-SUPPH), and the Family Care Index Questionnaire (APGAR). Data analysis included descriptive statistics, independent-samples t-test, one-way ANOVA, Pearson correlation analysis, and multiple regression analysis. A nomogram was constructed based on multiple regression results and the model performance was evaluated.

RESULTS: A total of 151 breast cancer patients were enrolled in the study. The mean (standard deviation) FoP score of the patients was 35.87 ± 9.24. The average score of C-SUPPH was 96.97 ± 17.29, and the average score of APGAR was 6.74 ± 2.98. Pearson correlation analysis showed that FoP was negatively correlated with self-management efficacy (r = -0.544, p < 0.01) and family functioning (r = -0.730, p < 0.01). Multiple regression analysis showed that age (B = -4.038), self-management efficacy (B = -0.085) and family functioning (B = -1.972) were significantly related to FoP, and together explained 36% of FoP variation (R 2 = 0.360, F = 20.50, p < 0.001). The nomogram of these variables showed satisfactory prediction performance [the Bootstrap Correction Consistency Index (C-index) = 0.872]. According to previous studies, a C-index of >0.70 indicates that the model is acceptable.

CONCLUSION: We found that greater fear of cancer progression (FoP) was associated with younger age, lower self-management efficacy and poorer family functioning in breast cancer patients. Based on these variables, our exploratory prediction model should be further investigated in order to help identify breast cancer patients who may be at highest risk of experiencing high FoP.

PMID:39045441 | PMC:PMC11264380 | DOI:10.3389/fpsyg.2024.1400695

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Validation of the Spanish Childhood Trauma Questionnaire-Short Form in adolescents with suicide attempts

Front Psychol. 2024 Jul 9;15:1378486. doi: 10.3389/fpsyg.2024.1378486. eCollection 2024.

ABSTRACT

BACKGROUND: Child maltreatment is associated with a higher probability of mental disorders and suicidal behavior in adolescence. Therefore, accurate psychometric instruments are essential to assess this.

OBJECTIVE: To validate the Spanish version of the Childhood Trauma Questionnaire-Short Form (CTQ-SF) in adolescents with suicide attempts.

METHODS: Multisite cohort study of 208 adolescents with suicide attempts using data from the following scales: Mini International Neuropsychiatric Interview (MINI), Columbia Suicide Severity Rating Scale (C-SSRS), Patient Health Questionnaire (PHQ-9), and CTQ-SF. Statistical analysis: CTQ-SF scores analyzed by descriptive statistics. Internal consistency: McDonald’s omega and Cronbach’s alpha. Concurrent validity with PHQ-9 and C-SSRS scores: Spearman correlation coefficient. Structural validity: Confirmatory factor analysis.

RESULTS: Floor and ceiling effects: Physical abuse and neglect as well as sexual abuse demonstrated high floor effects (50.0, 35.1, and 61.1% of adolescents, respectively). No ceiling effects were found. The CTQ-SF had excellent internal consistency (McDonald’s omega = 0.94), as did the majority of its subscales (Cronbach’s alpha 0.925-0.831) except for physical neglect (0.624). Its concurrent validity was modest, and the emotional neglect subscale had the lowest Spearman correlation coefficients (0.067-0.244). Confirmatory factor analysis: Compared with alternative factor structures, the original CTQ-SF model (correlated 5-factor) exhibited a better fit [S-B χ 2 = 676.653, p < 0; RMSEA (90% CI = 0.076-0.097) = 0.087; SRMR = 0.078; CFI = 0.980; TLI = 0.978].

CONCLUSION: The Spanish CTQ-SF is a reliable, valid instrument for assessing traumatic experiences in adolescents at high risk of suicide. It appears appropriate for use in routine clinical practice to monitor maltreatment in this group.

PMID:39045440 | PMC:PMC11264239 | DOI:10.3389/fpsyg.2024.1378486

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Nevin Manimala Statistics

Association between platelet count and neonatal acute kidney injury: a cohort study using the medical information mart for intensive care III database

J Matern Fetal Neonatal Med. 2024 Dec;37(1):2379910. doi: 10.1080/14767058.2024.2379910. Epub 2024 Jul 23.

ABSTRACT

OBJECTIVE: A decrease in platelet count has been reported to be associated with several neonatal inflammatory diseases, including sepsis and necrotizing enterocolitis; while its association with neonatal acute kidney injury (AKI) has not been reported. This study aims to explore the association between platelet count and neonatal AKI.

METHODS: This was a retrospective cohort study based on the Medical Information Mart for Intensive Care III (MIMIC-III) database. Data were extracted based on baseline characteristics, comorbidities, vital signs, laboratory parameters, and intervention measures. Logistic regression analysis was used to assess the association between platelet count and AKI, and results were shown as odds ratios (OR) with 95% confidence intervals (CI).

RESULTS: A total of 1,576 neonates were finally included in the analysis. After adjusting birth weight, sepsis, patent ductus arteriosus, hematocrit, percentage of neutrophils, and vasopressor use, we found that platelet count in the lowest quartile (Q1) was significantly associated with the higher odds of AKI than platelet count in the highest quartile (Q4) (OR = 1.70, 95% CI: 1.01-2.87).

CONCLUSIONS: Low platelet count was associated with the high odds of AKI in the neonatal intensive care unit (NICU), indicating that platelet count might be a biomarker for neonatal AKI. Large-scale multicenter studies should be performed to verify the results.

PMID:39043458 | DOI:10.1080/14767058.2024.2379910

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Nevin Manimala Statistics

Competitive exclusion products as an antimicrobial alternative to control Salmonella Heidelberg in broilers

Lett Appl Microbiol. 2024 Jul 23:ovae071. doi: 10.1093/lambio/ovae071. Online ahead of print.

ABSTRACT

Intestinal infections caused by non-typhoidal Salmonella spp. along with antimicrobial resistance spread is a major food safety concern worldwide. Here, we evaluate the potential of competitive exclusion products developed by anaerobic or aerobic conditions to control systemic infection, cecal colonization, fecal excretion and improve the intestinal health in broilers challenged by Salmonella Heidelberg (SH). A total of 105 day-old chickens were randomly distributed into three experimental groups: A (untreated control); B (treated with anaerobic culture) and C (treated with aerobic culture). During 21 days, morphometric parameters of the small intestine were analyzed using microscopy, fecal excretions by cloacal swabs, systemic infection, and cecal colonization by colony-forming unit counts (CFU/g). The results indicated the lowest number of positive swabs (45.33%) recovered from Group C, followed by Group B (71.8%), and Group A (85.33%). The bacterial enumeration revealed the lowest amounts in Group C at the necropsy realized in 5-, 7-, and 14- days post-infection (DPI) (P = 0.0010, P = 0.0048 and P = 0.0094, respectively). Statistical differences between intestinal morphometrics were observed in the Group C at 21 DPI. Our results suggest that the product developed under aerobic conditions can improve intestinal health, protecting birds against SH.

PMID:39043449 | DOI:10.1093/lambio/ovae071

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Pregnancy episodes in All of Us: harnessing multi-source data for pregnancy-related research

J Am Med Inform Assoc. 2024 Jul 24:ocae195. doi: 10.1093/jamia/ocae195. Online ahead of print.

ABSTRACT

OBJECTIVES: The National Institutes of Health’s All of Us Research Program addresses gaps in biomedical research by collecting health data from diverse populations. Pregnant individuals have historically been underrepresented in biomedical research, and pregnancy-related research is often limited by data availability, sample size, and inadequate representation of the diversity of pregnant people. All of Us integrates a wealth of health-related data, providing a unique opportunity to conduct comprehensive pregnancy-related research. We aimed to identify pregnancy episodes with high-quality electronic health record (EHR) data in All of Us Research Program data and evaluate the program’s utility for pregnancy-related research.

MATERIALS AND METHODS: We used a previously published algorithm to identify pregnancy episodes in All of Us EHR data. We described these pregnancies, validated them with All of Us survey data, and compared them to national statistics.

RESULTS: Our study identified 18 970 pregnancy episodes from 14 234 participants; other possible pregnancy episodes had low-quality or insufficient data. Validation against people who reported a current pregnancy on an All of Us survey found low false positive and negative rates. Demographics were similar in some respects to national data; however, Asian-Americans were underrepresented, and older, highly educated pregnant people were overrepresented.

DISCUSSION: Our approach demonstrates the capacity of All of Us to support pregnancy research and reveals the diversity of the pregnancy cohort. However, we noted an underrepresentation among some demographics. Other limitations include measurement error in gestational age and limited data on non-live births.

CONCLUSION: The wide variety of data in the All of Us program, encompassing EHR, survey, genomic, and fitness tracker data, offers a valuable resource for studying pregnancy, yet care must be taken to avoid biases.

PMID:39043412 | DOI:10.1093/jamia/ocae195