Dietary Magnesium Intake and Kidney Stone: The National Health and Nutrition Examination Survey 2011-2018.

BACKGROUND: The association between dietary magnesium intake (DMI) and kidney stone (KS) disease is not clear. AIM: To determine the association between DMI and prevalent KS disease defined as self-report of any previous episode of KS. METHODS: We examined The National Health and Nutrition Examination Survey (NHANES) 2011-2018 and used logistic regression analyses adjusting for demographics, BMI, histories of hypertension, diabetes, thiazide use, cigarette smoking, alcohol drinking, relevant dietary and supplemental intakes to determine the independent association between DMI and prevalent KS disease. RESULTS: A total of 19,271 participants were eligible for the final analysis, including 1878 prevalent KS formers. Mean DMI among stone formers was 295.4 mg/day, as compared to 309.6 mg/day among non-stone formers (p=0.02). Higher DMI was strongly associated with lower odds of prevalent KS disease in univariate analysis regardless of when DMI was analyzed as a continuous variable (OR=0.94, 95% CI: 0.89-0.99, p=0.02) or when the extreme quartiles of DMI were compared (OR=0.74, 95% CI: 0.60-0.92, p=0.007). In the multivariable-adjusted regression analysis, those in the highest quartile of DMI compared to the lowest quartile (≥379 mg vs. <205 mg) had significantly reduced odds of prevalent KS (OR=0.70, 95% CI: 0.52-0.93, p=0.01). When DMI was analyzed as a continuous variable, there was a trend toward reduced odds of prevalent KS disease with higher DMI (OR=0.92 per 100 mg, 95% CI: 0.84-1.01, p=0.07). CONCLUSIONS: Our study suggests that higher DMI is associated with a reduced risk of KS disease. Future prospective studies are needed to clarify the causal relationship between DMI and KS disease.

Insurance Approval Delay of Biologic Therapy Dose Escalation Associated with Disease Activity in Patients with Inflammatory Bowel Disease.

BACKGROUND: Dose escalation of self-injectable biologic therapy for inflammatory bowel diseases may be required to counteract loss of response and/or low drug levels. Payors often require completion of a prior authorization (PA), which is a complex approval pathway before providing coverage. If the initial PA request is denied, clinic staff must complete a time and resource-intensive process to obtain medication approval. AIMS: This study measured time from decision to dose escalate to insurance approval and evaluated impact of approval time on disease activity. METHODS: This was a single-center retrospective analysis of adult patients with IBD prescribed an escalated dose of biologic therapy at an academic center with an integrated specialty pharmacy team from January to December 2018. Outcomes included time to insurance approval and the association between approval time and follow-up C-reactive protein (CRP) and Short Inflammatory Bowel Disease Questionnaire (SIBDQ) scores. Associations were tested using linear regression analyses. RESULTS: 220 patients were included, median age 39, 53% female, and 96% white. Overall median time from decision to dose escalate to insurance approval was 7 days [interquartile range (IQR) 1, 14]. Approval time was delayed when an appeal was required [median of 29 days (IQR 17, 43)]. Patients with a longer time to insurance approval were less likely to have CRP improvement (p = 0.019). Time to insurance approval did not significantly impact follow-up SIBDQ scores. CONCLUSION: Patients who had a longer time to insurance approval were less likely to have improvement in CRP, highlighting the negative clinical impact of a complex dose escalation process.

Development of statistical regression and artificial neural network models for estimating nitrogen, phosphorus, COD, and suspended solid concentrations in eutrophic rivers using UV-Vis spectroscopy.

River water quality monitoring is crucial for understanding water dynamics and formulating policies to conserve the water environment. In situ ultraviolet-visible (UV-Vis) spectrometry holds great potential for real-time monitoring of multiple water quality parameters. However, establishing a reliable methodology to link absorption spectra to specific water quality parameters remains challenging, particularly for eutrophic rivers under various flow and water quality conditions. To address this, a framework integrating desktop and in situ UV-Vis spectrometers was developed to establish reliable conversion models. The absorption spectra obtained from a desktop spectrometer were utilized to create models for estimating nitrate-nitrogen (NO3-N), total nitrogen (TN), chemical oxygen demand (COD), total phosphorus (TP), and suspended solids (SS). We validated these models using the absorption spectra obtained from an in situ spectrometer. Partial least squares regression (PLSR) employing selected wavelengths and principal component regression (PCR) employing all wavelengths demonstrated high accuracy in estimating NO3-N and COD, respectively. The artificial neural network (ANN) was proved suitable for predicting TN in stream water with low NH4-N concentration using all wavelengths. Due to the dominance of photo-responsive phosphorus species adsorbed onto suspended solids, PLSR and PCR methods utilizing all wavelengths effectively estimated TP and SS, respectively. The determination coefficients (R2) of all the calibrated models exceeded 0.6, and most of the normalized root mean square errors (NRMSEs) were within 0.4. Our approach shows excellent efficiency and potential in establishing reliable models monitoring nitrogen, phosphorus, COD, and SS simultaneously. This approach eliminates the need for time-consuming and uncertain in situ absorption spectrum measurements during model setup, which may be affected by fluctuating natural and anthropogenic environmental conditions.

Risk factors associated with vitamin D deficiency in preterm neonates: a single-center step-wise regression analysis.

BACKGROUND: Vitamin D deficiency is particularly concerning in pregnant women, leading to various health-related issues in mothers and their babies, especially those born prematurely, including neonatal skeletal and respiratory disorders. In addition, there have been several reports indicating the presence of multiple impactful factors in the development of vitamin D deficiency. Therefore, we aimed to evaluate the vitamin D level in very preterm and moderately preterm newborns and investigate its association with presumed influential factors. METHODS: This cross-sectional descriptive study was performed on 54 mothers and their preterm neonates with gestational ages less than 34 weeks at delivery (i.e., very preterm and moderately preterm). After the serum vitamin D levels were determined from samples obtained in the first 24 h after birth, the babies were divided into two groups based on the presence or absence of deficiency. The relationship between several factors and the neonatal serum vitamin D level was investigated separately and in a linear step-wise regression model. RESULTS: The differences between the groups regarding maternal age, gestational age, neonate's gender, birth weight, and delivery method with neonatal vitamin D levels were not statistically significant. However, maternal vitamin D levels strongly correlated with neonatal vitamin D levels (P-value < 0.001, r = 0.636). The regression model also yielded a strong predictive capability (P-value < 0.001, Adjusted R2 = 0.606), with the maternal vitamin D level demonstrating a significant impact. CONCLUSIONS: Low vitamin D levels in pregnant mothers correlate with deficient levels in their preterm neonates. Therefore, as vitamin D deficiency significantly affects both the mother's and newborn's health, it is recommended that healthcare providers provide comprehensive plans for vitamin D supplementation during pregnancy.

Increased risk of Parkinson's disease amongst patients with age-related macular degeneration and visual disability: A nationwide cohort study.

BACKGROUND AND PURPOSE: The association between Parkinson's disease (PD) and age-related macular degeneration (AMD) has been shown in previous reports. However, the association between the severity of AMD and PD development is unknown. The aim was to evaluate the association of AMD with/without visual disability (VD) with the risk of PD occurrence using the National Health Insurance data in South Korea. METHODS: A total of 4,205,520 individuals, 50 years or older and without a previous diagnosis of PD, participated in the Korean National Health Screening Program in 2009. AMD was verified using diagnostic codes, and participants with VD were defined as those with loss of vision or visual field defect as certified by the Korean Government. The participants were followed up until 31 December 2019, and incident cases of PD were identified using registered diagnostic codes. The hazard ratio was calculated for groups (control and AMD with/without VD) using multivariable adjusted Cox regression analysis. RESULTS: In total, 37,507 participants (0.89%) were diagnosed with PD. Amongst individuals with AMD, the risk of PD development was higher in individuals with VD (adjusted hazard ratio [aHR] 1.35, 95% confidence interval [CI] 1.09-1.67) than in those without (aHR 1.22, 95% CI 1.15-1.30) compared with controls. Additionally, an increased risk of PD was observed in individuals with AMD compared with controls, regardless of the presence of VD (aHR 1.23, 95% CI 1.16-1.31). CONCLUSIONS: Visual disability in AMD was associated with the development of PD. This suggests that neurodegeneration in PD and AMD may have common pathways.

Regional disparities of prostate cancer mortality in Ecuador: an examination of trends and correlates from 2004 to 2019.

BACKGROUND: Prostate cancer is the leading cause of cancer death in Ecuadorian men. However, there is a lack of information regarding the evolution of prostate cancer mortality rates in Ecuador and its regions in the last few decades. OBJECTIVE: The aim of this study was to report prostate cancer mortality rates in Ecuador and its geographical areas and observe the evolution of these rates between 2004 and 2019. METHODS: An observational ecological study was conducted, analysing data for prostate cancer deaths from 2004 to 2019 in Ecuador. Age standardized mortality rates (ASMR) were calculated per 100,000 men using the world standard population with the direct method proposed by SEGI. Joinpoint regression analysis was performed to examine mortality trends. We used a Cluster Map to explore relationships among regions between 2015 and 2019. RESULTS: Ecuador reported 13,419 deaths by prostate cancer between 2004 and 2019, with the Coastal region accounting for 49.8% of the total deaths. The mean age at death was 79 years (± 10 years), 91.7% were elderly (more than 65 years old) and had primary education (53%). Deaths by prostate cancer were more frequently reported among mestizos (81.4%). There were no significant variations in these percentages in Ecuador and its regions during the study period. Carchi province had the highest mortality rate in 2005 and 2019 (> 13 deaths per 100,000). Heterogeneity in the evolution of mortality rates was reported among the provinces of Ecuador. Azuay decreased in the first few years, and then increased from 2010 to 2019, whereas Guayas and Pichincha decreased throughout the whole period. CONCLUSION: Although prostate cancer mortality rates in Ecuador have remained stable over the past few decades, there are significant disparities among the different regions. These findings suggest the need for the development of national and provincial registration measures, integrated healthcare actions, and targeted interventions to reduce the burden of prostate cancer in the Ecuadorian population.

Linear Regression Analysis of Sleep Quality in People with Insomnia in Wuhan City during the COVID-19 Pandemic.

Objective: COVID-19 has evolved into a major global public health event. The number of people reporting insomnia is growing exponentially during the pandemic. This study aimed to explore the relationship between aggravated insomnia and COVID-19-induced psychological impact on the public, lifestyle changes, and anxiety about the future. Methods: In this cross-sectional study, we used the questionnaires from 400 subjects who were obtained from the Department of Encephalopathy of the Wuhan Hospital of Traditional Chinese Medicine between July 2020 and July 2021. The data collected for the study included demographic characteristics of the participants and psychological scales consisting of the Spiegel Sleep Questionnaire, the Fear of COVID-19 Scale (FCV-19S), the Zung Self-Rating Anxiety Scale (SAS), and the Zung Self-Rating Depression Scale (SDS). The independent sample t-test and one-way ANOVA were used to compare the results. Correlation analysis of variables affecting insomnia was performed using Pearson correlation analysis. The degree of influence of the variables on insomnia was determined using linear regression, and a regression equation was derived. Results: A total of 400 insomnia patients participated in the survey. The median age was 45.75 ± 15.04 years. The average score of the Spiegel Sleep Questionnaire was 17.29 ± 6.36, that of SAS was 52.47 ± 10.39, that of SDS was 65.89 ± 8.72, and that of FCV-19S was 16.09 ± 6.81. The scores of FCV-19S, SAS, and SDS were closely related to insomnia, and the influencing degree was in the following order: fear, depression, and anxiety (OR = 1.30, 0.709, and 0.63, respectively). Conclusion: Fear of COVID-19 can be one of the primary contributors to worsening insomnia.

Does heterogeneity underlie differences in treatment effects estimated from SuperLearner versus logistic regression? An application in nutritional epidemiology.

PURPOSE: A strength of SuperLearner is that it may accommodate key interactions between model variables without a priori specification. In prior research, protective associations between fruit intake and preeclampsia were stronger when estimated using SuperLearner with targeted maximum likelihood estimation (TMLE) compared with multivariable logistic regression without any interaction terms. We explored whether heterogeneity (i.e., differences in the effect estimate due to interactions between fruit intake and covariates) may partly explain differences in estimates from these two models. METHODS: Using a U.S. prospective pregnancy cohort (2010-2013, n = 7781), we estimated preeclampsia risk differences (RDs) for higher versus lower fruit density using multivariable logistic regression and included two-way statistical interactions between fruit density and each of the 25 model covariates. We compared the RDs with those from SuperLearner with TMLE (gold standard) and logistic regression with no interaction. RESULTS: From the logistic regression models with two-way statistical interactions, 48% of the preeclampsia RDs were ≤-0.02 (closer to SuperLearner with TMLE estimate); 40% equaled -0.01 (same as logistic regression with no interaction estimate); the minority of RDs were at or crossed the null. CONCLUSIONS: Our exploratory analysis provided preliminary evidence that heterogeneity may partly explain differences in estimates from logistic regression versus SuperLearner with TMLE.

Mindful self-focus-an interaction affecting Theory of Mind?

Is thinking about oneself helpful or harmful for understanding other people? The answer might depend on how a person thinks about themself. Mindfulness is one prominent construct that seems to affect the quality and content of a person's thoughts about themselves in the world. Thus, we hypothesize that the relationship between self-focus and Theory of Mind (ToM) is moderated by mindfulness. We evaluate our hypothesis with a large cross-sectional dataset (N = 543) of native and non-native German and English speakers using OLS and MM-estimated robust multiple regression analysis. We found a small but robust self-focus × mindfulness interaction effect on ToM so that there was a significant positive relation between self-focus and ToM for more mindful individuals and no significant relation for less mindful individuals. The findings support our hypothesis that mindfulness moderates the relationship between self-focus and ToM performance. We discuss the limitations and differences between the present study and previous findings.

Mindful self-care and resilience in first-year undergraduate students.

OBJECTIVE: Post-secondary students experience elevated levels of academic stress. The objective of the current study is to examine the relationship between a three factor model of resilience (ie, mastery, emotionality reactivity, and relatedness), mindful self-care and flourishing in first-year undergraduate students. PARTICIPANTS: A sample (n = 177) of first-year undergraduates were recruited from a large urban university in Alberta during the 2019-2020 academic year. METHOD: A multiple regression analysis was utilized to examine whether the three-factor model of resilience and mindful self-care predicted flourishing in undergraduate students. RESULTS: Self-reported resilience significantly predicted flourishing. Specifically, a sense of mastery and a sense of relatedness was positively associated with flourishing. Additionally, mindful self-care significantly predicted flourishing. Specifically, supportive relationships and supportive structure. CONCLUSIONS: University demands are significant and academic stress reduction interventions should be offered to support students entering post-secondary education.

Milk fatty acids as covariates in multiple regression analysis is a robust approach to model the decrease in milk fat concentration and yield in small ruminants.

Milk fat depression (MFD) syndrome has been associated with the antilipogenic effects of trans-10 fatty acids (FA), such as t10, c12-CLA (CLA) and t10-18:1 (T10). However, these FA alone cannot completely explain the changes in milk fat in small ruminants. Thus, the aim of this study was to use multiple regression analysis to evaluate other FA that may be related to shifts in milk fat, as well as to improve model accuracy when different milk FA are used as covariates in the models. Previously published data were used in multiple regression analysis for goats (n = 106) and ewes (n = 68). Body weight (BW), vaccenic acid (t11-18:1), both trans-10 FA and the major milk FA were tested as covariates to model four response variables associated with MFD: fat concentration (FC), percentage change in milk fat concentration (CFC; %), fat yield (FY; g/d) and percentage change in milk fat yield (CFY; %). All four multiple regression models were significant for both species. When compared with simple regression models, all multiple regression models improved accuracy when estimating MFD. The improvements in model accuracy (lower RMSE) for FC, CFC, FY and CFY were 60.6%, 43.3%, 35.6% and 44.4% for ewes, and 52.1%, 60.1%, 33.6% and 14.9% for goats respectively. Linolenic acid and t11-18:1 were covariates in all models for goats, and palmitic acid and CLA were covariates in all ewe models. These FA should be investigated regarding their direct effect on gene expression associated with milk fat metabolism in the mammary gland of small ruminants. Multiple regression analysis is the most robust approach to account for the variation of milk fat and yield in goats and ewes.

Medical care-seeking patterns among women with menstrual syndromes-related diagnoses: a longitudinal population-based study.

BACKGROUND: Many women experience menstruation-related health issues during their child-bearing years. This study aimed to evaluate women's tendency to seek Traditional Chinese Medicine (TCM) and/or Western Medicine (WM) when newly diagnosed with menstrual syndromes and to identify factors associated with their medical care-seeking behaviors. METHODS: The data of a total of 47,097 women aged between 15 and 50 years with newly diagnosed menstrual syndromes in 2005 were extracted from the Taiwan National Health Insurance Database. The follow-up period was divided equally into 6 month segments over 5 years starting with patients' first visit for obstetric/gynecologic care. Outcomes were outpatient visits and number of TCM or WM visits during each period. Patients' tendency for medical care utilization was estimated using Poisson regression analysis. RESULTS: Number of outpatient visits using TCM was 0.62 (29187/47097), and using WM was 1.67 (78697/47097) within 6 months after the first menstrual syndrome diagnosis. The tendency for TCM utilization increased as follow-up time increased after controlling for potential confounders, while WM utilization decreased as follow-up time increased. Age, economic status, infertility, value of prevention, baby delivery, and obstetric/gynecologic inpatient histories were significantly associated with patients' medical care-seeking behaviors. CONCLUSIONS: TCM and WM medical care-seeking patterns are significantly different among women with diagnoses associated with menstrual syndromes. Related factors affecting medical care-seeking behavior include age, economic status, infertility, value of prevention, childbirth and Ob/Gyn inpatient histories.

Association between grass, tree and weed pollen and asthma health outcomes in Adelaide, South Australia: a time series regression analysis.

OBJECTIVES: We aim to establish daily risk estimates of the relationships between grass, tree and weed pollen and asthma health outcomes. DESIGN: Time series regression analysis of exposure and health outcomes using interaction by month to determine risk estimates all year round. SETTING: Metropolitan Adelaide, South Australia. PARTICIPANTS: Health outcomes for asthma are based on 15 years of hospital admissions, 13 years emergency presentations and ambulance callouts. In adults (≥18 years), there were 10 381 hospitalisations, 26 098 emergency department (ED) presentations and 11 799 ambulance callouts and in children (0-17 years), 22 114, 39 813 and 3774, respectively. OUTCOME MEASURES: The cumulative effect of 7 day lags was calculated as the sum of the coefficients and reported as incidence rate ratio (IRR) related to an increase in 10 grains of pollen/m3. RESULTS: In relation to grass pollen, children and adults were disparate in their timing of health effects. Asthma outcomes in children were positively related to grass pollen in May, and for adults in October. Positive associations with weed pollen in children was seen from February to May across all health outcomes. For adults, weed pollen-related health outcomes were restricted to February. Adults were not affected by tree pollen, while children's asthma morbidity was associated with tree pollen in August and September. In children, IRRs ranged from 1.14 (95% CI 1.06 to 1.21) for ED presentations for tree pollen in August to 1.98 (95% CI 1.06 to 3.72) for weed pollen in February. In adults, IRRs ranged from 1.28 (95% CI 1.01 to 1.62) for weed pollen in February to 1.31 (95% CI 1.08 to 1.57) for grass pollen in October. CONCLUSION: Monthly risk assessment indicated that most pollen-related asthma health outcomes in children occur in the colder part of the year, while adults are affected in the warm season. The findings indicate a need for year-round pollen monitoring and related health campaigns to provide effective public health prevention.

Modelo explicativo de não adesão ao paradigma psicossocial da saúde mental / Explanatory model of non-adhesion to the psychosocial mental health paradigm / Modelo explicativo de la no adhesión al paradigma psicosocial de la salud mental

Este estudo teve como objetivo propor um modelo explicativo de não adesão ao paradigma psicossocial da saúde mental a partir dos estereótipos, das crenças sobre a etiologia da doença mental, da percepção de ameaça e do preconceito. Para tanto, contou-se com a participação de 400 universitários, com média de idade de 24,64 anos (DP = 6, 64), sendo a maioria do sexo feminino (75,6%). Para a proposição do modelo, foi realizada uma path analysis. O modelo proposto demonstrou que quanto maior a percepção de ameaça e a concordância com o estereótipo de incapacidade, menor o apoio ao paradigma psicossocial. Ademais, verificou-se que as crenças acerca da etiologia da doença mental e os estereótipos estão na base da percepção de ameaça e todas essas variáveis juntas predizem maior preconceito. Os achados desta pesquisa fornecem subsídios científicos para a realização de intervenções eficazes e consistentes que fortaleçam o paradigma psicossocial no cenário nacional. (AU)

This study aimed to propose an explanatory model of non-adherence to the psychosocial paradigm of mental health based on stereotypes, beliefs about the etiology of mental illness, perception of threat, and prejudice. Participants included a total of 400 university students, with a mean age of 24.64 years (SD = 6, 64), mostly women (75.6%). A path analysis was performed to propose the model, which showed that the greater the perception of threat and the agreement with the disability stereotype, the lower the support for the psychosocial paradigm. Furthermore, it was found that beliefs about the etiology of mental illness and stereotypes are at the basis of the perception of threat and all these variables together predict greater prejudice. The findings of this research provide scientific support for effective and consistent interventions that strengthen the psychosocial paradigm on the national scene. (AU)

Este estudio tuvo como objetivo proponer un modelo explicativo de la no adherencia al paradigma psicosocial de la salud mental basado en estereotipos, creencias sobre la etiología de la enfermedad mental, percepción de amenaza y prejuicio. Para ello participaron 400 estudiantes universitarios, con una edad media de 24,64 años (DS = 6,64), siendo la mayoría mujeres (75,6 %). Para la proposición del modelo, se realizó un path análisis. El modelo sugerido demostró que, a mayor percepción de amenaza y concordancia con el estereotipo de discapacidad, menor apoyo al paradigma psicosocial. Además, se encontró que las creencias sobre la etiología de la enfermedad mental y los estereotipos están en la base de la percepción de amenaza y todas estas variables en conjunto predicen un mayor prejuicio. Los hallazgos de esta investigación brindan soporte científico para ejecutar intervenciones efectivas y consistentes que fortalezcan el paradigma psicosocial en el escenario nacional. (AU)

Impact of Omega-3 supplementation on homocysteine levels in humans: A systematic review and meta-regression analysis of randomized controlled trials.

AIMS: Although some evidence suggests that omega-3 polyunsaturated fatty acids (PUFAs) supplementation influences enzymes involved in forming homocysteine (Hcy) and improving hyperhomocysteinemia, these findings are still contradictory in humans. The aim of this systematic and meta-analysis study was to investigate the effects of omega-3 supplementation on Hcy using existing randomized controlled trials (RCTs). DATA SYNTHESIS: Available databases, including PubMed/MEDLINE, Web of Science, Scopus, Cochrane Library, and Embase, were searched to find relevant RCTs up to June 2021. The effect size was expressed as weighted mean difference (WMD) and 95% confidence interval (CI). CONCLUSION: A total of 20 RCT studies with 2676 participants were included in this article. Our analyses have shown that omega-3 supplementation significantly reduced plasma Hcy levels (WMD: 1.34 µmol/L; 95% CI: 1.97 to -0.72; P < 0.001) compared to the control group. The results of subgroup analysis showed that omega-3 supplementation during the intervention <12 weeks and with a dose ≥3 gr per day causes a more significant decrease in Hcy levels than the intervention ≥12 weeks and at a dose <3 gr. In addition, omega-3 supplements appear to have more beneficial effects in individuals with high levels of normal Hcy. This meta-analysis showed that omega-3 supplementation significantly improved Hcy. However, further studies are needed to confirm the findings.

Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study.

OBJECTIVES: This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries. METHODS: COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection. RESULTS: A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (ß=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (ß=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (ß=-0.423). A national Bacillus Calmette-Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (ß=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (ß=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (ß=-0.362 and -0.449, respectively). CONCLUSIONS: These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19.

Study on the correlation between homocysteine-related dietary patterns and gestational diabetes mellitus:a reduced-rank regression analysis study.

BACKGROUND: This study aimed to evaluate the association between homocysteine-related dietary patterns and gestational diabetes mellitus. METHODS: A total of 488 pregnant women at 24-28 weeks of gestation between January 2019 and December 2020 were included. Demographic characteristics, dietary intake, and multivitamin supplement intake information were collected using a food frequency questionnaire (FFQ); fasting venous blood samples were collected for serum index detection. Serum homocysteine (Hcy), folic acid, and B12 were selected as response variables, and hyperhomocysteinemia (hHcy)-related dietary patterns were extracted using the reduced rank regression.. The relationship between the score of hHcy-related dietary patterns and GDM was analyzed using a multivariate logistic regression model. RESULTS: Three hHcy-related dietary patterns were extracted. Only mode 2 had a positive and significant relationship with the risk of developing GDM. After adjusting for confounding factors, the risk of GDM was significantly increased in the highest quartile array compared with the lowest quartile of the pattern (OR = 2.96, 95% Confidence Interval: 0.939-9.356, P = 0.004). There was no significant correlation between dietary pattern 1 and GDM risk (P > 0.05). CONCLUSIONS: Homocysteine-related dietary patterns were positively associated with gestational diabetes mellitus. Adjusting dietary patterns may contribute to the intervention and prevention of GDM.

Impact of Digital Device, Exercise, and Music Intervention Programs on the Cognition and Depression of the Elderly in South Korea: A Meta-Regression Analysis.

BACKGROUND: This study examined the effect of digital devices, exercise, and music intervention programs for the elderly in Korea on their cognition and depression. METHODS: This study selected 70 cognition programs and 46 depression programs for the elderly in Korea. This study controlled the characteristics of the programs and participants, and conducted a meta-regression analysis to estimate the intervention effect size of digital devices, exercise, and music on cognition and depression. RESULTS: The meta-regression analysis revealed that digital device programs had a smaller effect size with respect to the improvement of cognitive functions than programs that did not use digital devices. The exercise programs had a small effect size on depression, but their effect size on cognition was not significantly different. DISCUSSION: These findings provide implications for developing a program that combines music therapy with digital devices and exercise interventions, which can be effective in addressing both cognition and depression.

Estimated impact of the 2020 economic downturn on under-5 mortality for 129 countries.

In low- and middle-income countries (LMICs), economic downturns can lead to increased child mortality by affecting dietary, environmental, and care-seeking factors. This study estimates the potential loss of life in children under five years old attributable to economic downturns in 2020. We used a multi-level, mixed effects model to estimate the relationship between gross domestic product (GDP) per capita and under-5 mortality rates (U5MRs) specific to each of 129 LMICs. Public data were retrieved from the World Bank World Development Indicators database and the United Nations World Populations Prospects estimates for the years 1990-2020. Country-specific regression coefficients on the relationship between child mortality and GDP were used to estimate the impact on U5MR of reductions in GDP per capita of 5%, 10%, and 15%. A 5% reduction in GDP per capita in 2020 was estimated to cause an additional 282,996 deaths in children under 5 in 2020. At 10% and 15%, recessions led to higher losses of under-5 lives, increasing to 585,802 and 911,026 additional deaths, respectively. Nearly half of all the potential under-5 lives lost in LMICs were estimated to occur in Sub-Saharan Africa. Because most of these deaths will likely be due to nutrition and environmental factors amenable to intervention, countries should ensure continued investments in food supplementation, growth monitoring, and comprehensive primary health care to mitigate potential burdens.

An integrated data framework for policy guidance during the coronavirus pandemic: Towards real-time decision support for economic policymakers.

Usually, official and survey-based statistics guide policymakers in their choice of response instruments to economic crises. However, in an early phase, after a sudden and unforeseen shock has caused unexpected and fast-changing dynamics, data from traditional statistics are only available with non-negligible time delays. This leaves policymakers uncertain about how to most effectively manage their economic countermeasures to support businesses, especially when they need to respond quickly, as in the COVID-19 pandemic. Given this information deficit, we propose a framework that guided policymakers throughout all stages of this unforeseen economic shock by providing timely and reliable sources of firm-level data as a basis to make informed policy decisions. We do so by combining early stage 'ad hoc' web analyses, 'follow-up' business surveys, and 'retrospective' analyses of firm outcomes. A particular focus of our framework is on assessing the early effects of the pandemic, using highly dynamic and large-scale data from corporate websites. Most notably, we show that textual references to the coronavirus pandemic published on a large sample of company websites and state-of-the-art text analysis methods allowed to capture the heterogeneity of the pandemic's effects at a very early stage and entailed a leading indication on later movements in firm credit ratings. While the proposed framework is specific to the COVID-19 pandemic, the integration of results obtained from real-time online sources in the design of subsequent surveys and their value in forecasting firm-level outcomes typically targeted by policy measures, is a first step towards a more timely and holistic approach for policy guidance in times of economic shocks.