Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis.

AIM: Machine learning may be a tool with the potential for obesity prediction. This study aims to review the literature on the performance of machine learning models in predicting obesity and to quantify the pooled results through a meta-analysis. DATA SYNTHESIS: A systematic review and meta-analysis were conducted, including studies that used machine learning to predict obesity. Searches were conducted in October 2023 across databases including LILACS, Web of Science, Scopus, Embase, and CINAHL. We included studies that utilized classification models and reported results in the Area Under the ROC Curve (AUC) (PROSPERO registration: CRD42022306940), without imposing restrictions on the year of publication. The risk of bias was assessed using an adapted version of the Transparent Reporting of a multivariable prediction model for individual Prognosis or Diagnosis (TRIPOD). Meta-analysis was conducted using MedCalc software. A total of 14 studies were included, with the majority demonstrating satisfactory performance for obesity prediction, with AUCs exceeding 0.70. The random forest algorithm emerged as the top performer in obesity prediction, achieving an AUC of 0.86 (95%CI: 0.76-0.96; I2: 99.8%), closely followed by logistic regression with an AUC of 0.85 (95%CI: 0.75-0.95; I2: 99.6%). The least effective model was gradient boosting, with an AUC of 0.77 (95%CI: 0.71-0.82; I2: 98.1%). CONCLUSION: Machine learning models demonstrated satisfactory predictive performance for obesity. However, future research should utilize more comparable data, larger databases, and a broader range of machine learning models.

The effects of blueberry and cranberry supplementation on blood pressure in patients with cardiovascular diseases: A systematic review and meta-analysis of randomized clinical trials.

Blueberries and cranberries are berry fruits with the highest number of randomized clinical trials (RCTs) focusing on blood pressure (BP). This systematic review and meta-analysis of RCTs analyzed the effects of blueberry and cranberry supplementation alone and in concert with systolic BP (SBP) and diastolic BP (DBP) in patients with cardiometabolic diseases. The searches were performed until August 2023 in the following databases: PubMed, Scopus, Web of Science, Cochrane, and Embase. Studies that examined the effects of blueberry or cranberry intake/supplementation were included. The risk of bias was evaluated using the Rob 2 scale. A meta-analysis was performed to estimate the effects of blueberry and cranberry supplementation on BP levels in patients with cardiometabolic diseases. A total of 17 articles were included, from which two found significant results from blueberry and/or cranberry supplementation in reducing BP. Pooled results revealed statistically non-significant reductions of -0.81 mm Hg for SBP (95% confidence interval [CI]: -2.26, 0.63; I2 = 0%) and -0.15 mm Hg for DBP (95% CI: -1.36, 1.05; I2 = 27%). Blueberry and/or cranberry supplementation had neutral effects on SBP and DBP in patients with cardiometabolic diseases, regardless of duration or age. Further high-quality studies are needed to firmly establish clinical efficacy.

Epidemiology of TB in prisoners: a metanalysis of the prevalence of active and latent TB.

BACKGROUND: Tuberculosis (TB) in prisons usually occurs at higher rates than in the general population, especially in developing countries. TB has been reported as the most common cause of death among prisoners. Studies have shown limitations for early detection of TB in prisons that seem to result from mistaken concepts about TB, delayed diagnosis mainly due to the naturalization of lack of healthcare for this population METHODS: A scoping review was performed using the methodology of the Joanna Briggs Institute to assess "What are the scientific evidences on the epidemiology of TB in the prison system?". Then, a meta-analysis was performed to assess the prevalence of TB (active and latent) TB in prisoners. The results are presented as prevalence, in percentage, through random effects models, with a confidence interval of 95%. RESULTS: Regarding active TB, the results of the metanalysis showed that countries with a high burden of TB had a prevalence of 3.54% [2.71; 4.63], countries not considered to be high burden TB countries had a prevalence of 1.43% [0.86; 2.37]. Latent TB had a prevalence of 51.61% [39.46; 63.58] in high TB burden countries and a prevalence of 40.24% [23.51; 59.61] in countries with low TB burden. In terms of development, in low- and lower-middle-income countries, the prevalence of active TB was 3.13% [1.84; 5.29] and in high- and upper-middle income countries the prevalence was 2.25% [1.70; 2.99]. The prevalence of latent TB in high- and middle-income countries was 43.77% [28.61; 60.18] and of 49.42% [45.91; 52.94] in low and lower middle-income countries. CONCLUSION: Our analysis suggests that TB, and probably other infectious diseases, find fertile ground in prisons where previous acquire social disadvantages seem to thrive-therefore, TB in prisons is a global public health problem and effective strategies are needed to control the disease are needed targeting the prison environment, including rapid health assessments to understand each context and to implement tailored and precision interventions.

Care seek behavior for low back pain in southern Brazil during the COVID-19 pandemic: a panel data analysis.

BACKGROUND: During the COVID-19 pandemic, people with low back pain (LBP) might have avoided seeking care for their pain. We aimed to investigate how the COVID-19 pandemic has affected LBP care seeking behavior among adults. METHODS: Data from four assessments of the PAMPA cohort were analyzed. Participants who reported experiencing LBP during wave one both before and during social restrictions (n = 1,753 and n = 1,712, respectively), wave two (n = 2,009), and wave three (n = 2,482) were included. We asked participants about sociodemographic, behavioral, and health factors and outcomes related to LBP. Poisson regression analyses were conducted, and data are presented as prevalence ratios (PR) and respective 95% confidence interval (95%CI). RESULTS: Overall, care seeking behavior decreased by half in the first months of restrictions, from 51.5% to 25.2%. Although there was an increase in care seeking behavior observed in the other two assessments (nearly 10 and 16 months after restrictions), it was insufficient to reach pre-pandemic levels. In the first months of restrictions, a similar scenario was observed for specific care, such as general practitioner and exercise professional care, with proportions of pre-pandemic levels reached after 10 and 16 months. Women were more likely to seek care for LBP 10 and 16 months after restrictions (PR 1.30 95%CI 1.11; 1.52, PR 1.22 95%CI 1.06; 1.39, respectively). Also, those participants who worked, were physically active, and reported pain-related disability and high pain levels were more likely to seek care at all time points assessed. CONCLUSION: Overall, care-seeking behavior for LBP significantly decreased in the first months of restrictions and increased in the following months; however, this behavior remained lower than pre-pandemic levels.

Resveratrol supplementation and type 2 diabetes: a systematic review and meta-analysis.

This study aimed to review the literature on studies that evaluated resveratrol's effects supplementation on parameters of diabetes in humans. We conducted an online search in the following databases: Pubmed, Lilacs, Scielo, Scopus, Web of Science, Embase, and Cochrane. It included experimental studies that investigated the effects of resveratrol supplementation for diabetes treatment or prevention and its relationship with fasting blood glucose, insulin resistance, and glycated hemoglobin. Observational, non-human studies and non-randomized clinical trials were excluded. We conducted a meta-analysis to evaluate the effects of resveratrol supplementation on fasting blood glucose, insulin resistance, and glycated hemoglobin. Thirty studies were included in the review. Almost 60% demonstrated at least one significant effect of the resveratrol supplementation related to diabetes. In the meta-analysis, there was a significant effect on the reduction of insulin resistance [SMD: -0.34; CI 95%: -0.64, -0.04; p = 0.01; I2 = 70%] and glycated hemoglobin [SMD: -0.64; CI 95%: -1.22, -0.07; p = 0.01; I2 = 90%]. For fasting blood glucose, the results were significant only for individuals with diabetes [SMD: -0.85; CI 95%: -1.49, -0.21; p = 0.01; I2 = 90%]. This systematic review with meta-analysis demonstrated that resveratrol supplementation has protective effects on diabetes parameters.

Omega-3 supplementation and diabetes: A systematic review and meta-analysis.

This study aimed to review the literature on studies that evaluated the effects of omega-3 supplementation on parameters of diabetes in humans. An online search was conducted in the following databases: Pubmed, LILACS, Scielo, Scopus, and Web of Science. It included experimental studies that investigated the effects of omega-3 supplementation for diabetes treatment or prevention and its relationship with fasting blood glucose, insulin resistance, and glycated hemoglobin. Observational, non-human studies and non-randomized clinical trials were excluded. The Cochrane scale assessed the quality of the studies. A meta-analysis was carried out to evaluate the effect of omega-3 on fasting blood glucose, insulin resistance, and glycated hemoglobin. Thirty studies were included in the review. Almost 70% (n = 20) demonstrated at least one significant effect of the omega-3 supplementation related to diabetes. In the meta-analysis, there was a significant effect on the reduction of fasting blood glucose [SMD: -0.48; CI95%: -0.76, -0.19; p = 0.01; I2 = 88%] and insulin resistance [SMD: -0.61; CI95%: -0.98, -0.24; p = 0.01; I2 = 90%]. For glycated hemoglobin, there was no significant effect in the meta-analysis. This systematic review with meta-analysis demonstrated that supplementation with omega-3 has protective effects on diabetes parameters.

Risk-prone territories for spreading tuberculosis, temporal trends and their determinants in a high burden city from São Paulo State, Brazil.

OBJECTIVES: To identify risk-prone areas for the spread of tuberculosis, analyze spatial variation and temporal trends of the disease in these areas and identify their determinants in a high burden city. METHODS: An ecological study was carried out in Ribeirão Preto, São Paulo, Brazil. The population was composed of pulmonary tuberculosis cases reported in the Tuberculosis Patient Control System between 2006 and 2017. Seasonal Trend Decomposition using the Loess decomposition method was used. Spatial and spatiotemporal scanning statistics were applied to identify risk areas. Spatial Variation in Temporal Trends (SVTT) was used to detect risk-prone territories with changes in the temporal trend. Finally, Pearson's Chi-square test was performed to identify factors associated with the epidemiological situation in the municipality. RESULTS: Between 2006 and 2017, 1760 cases of pulmonary tuberculosis were reported in the municipality. With spatial scanning, four groups of clusters were identified with relative risks (RR) from 0.19 to 0.52, 1.73, 2.07, and 2.68 to 2.72. With the space-time scan, four clusters were also identified with RR of 0.13 (2008-2013), 1.94 (2010-2015), 2.34 (2006 to 2011), and 2.84 (2014-2017). With the SVTT, a cluster was identified with RR 0.11, an internal time trend of growth (+ 0.09%/year), and an external time trend of decrease (- 0.06%/year). Finally, three risk factors and three protective factors that are associated with the epidemiological situation in the municipality were identified, being: race/brown color (OR: 1.26), without education (OR: 1.71), retired (OR: 1.35), 15 years or more of study (OR: 0.73), not having HIV (OR: 0.55) and not having diabetes (OR: 0.35). CONCLUSION: The importance of using spatial analysis tools in identifying areas that should be prioritized for TB control is highlighted, and greater attention is necessary for individuals who fit the profile indicated as "at risk" for the disease.

Association between multimorbidity and hospitalization in older adults: systematic review and meta-analysis.

BACKGROUND: Multimorbidity is defined as the presence of multiple chronic conditions in the same individual. Multimorbidity is more prevalent in older adults and can lead to several adverse health outcomes. METHODS: We systematically reviewed evidence from observational studies to verify the association between multimorbidity and hospitalization in older adults. Furthermore, we also aimed to identify whether it changes according to gender, advanced age, institutionalization, and wealth of the country of residence. We searched the PubMed, Embase and Scopus databases from December 2020 to April 2021. The analysed outcomes were as follows: hospitalization, length of stay and hospital readmission. RESULTS: Of the 6,948 studies identified in the databases, 33 were included in this review. From the meta-analysis results, it was found that multimorbidity, regardless of the country's wealth, was linked to hospitalization in older adults (OR = 2.52, CI 95% = 1.87-3.38). Both definitions of multimorbidity, ≥2 (OR = 2.35, 95% CI = 1.34-4.12) and ≥3 morbidities (OR = 2.52, 95% CI = 1.87-3.38), were associated with hospitalization. Regardless of gender, multimorbidity was associated with hospitalization (OR = 1.98, 95% CI = 1.67-2.34) and with readmission (OR = 1.07, 95% CI = 1.04-1.09). However, it was not possible to verify the association between multimorbidity and length of stay. CONCLUSIONS: Multimorbidity was linked to a higher hospitalization risk, and this risk was not affected by the country's wealth and patient's gender. Multimorbidity was also linked to a higher hospital readmission rate in older adults. PROSPERO Registration (Registration number: CRD42021229328).

Effects of blueberry and cranberry on type 2 diabetes parameters in individuals with or without diabetes: A systematic review and meta-analysis of randomized clinical trials.

AIMS: Blueberry and cranberry are rich in polyphenols that are associated with diabetes reduction. This study aimed: 1) to systematically review the literature on the effects of blueberry and cranberry consumption and type 2 diabetes parameters in individuals with or without type 2 diabetes and 2) to quantify these effects by carrying out a meta-analysis. DATA SYNTHESIS: A systematic review and meta-analysis were performed using articles present in seven databases (PubMed, LILACS, Scielo, Scopus, Web of Science, Cochrane, and Embase), including publications until May 2021. We included randomized clinical trials that compared blueberry or cranberry effects on type 2 diabetes parameters, such as fasting blood glucose, insulin resistance, and glycated hemoglobin. Quality of the studies was performed using the Cochrane scale, while the Egger test assessed the publication bias and meta-regression the estimated effect sizes with potential moderator variables. From the 2034 studies identified, 39 were read in full and 22 were included in meta-analysis. In individuals with diabetes, the consumption of blueberry or cranberry significantly reduced fasting blood glucose [MD: -17.72 mg/dl; 95% CI: -29.62, -5.82; p = 0.03; I2 = 57%] and glycated hemoglobin [MD: -0.32%; 95% CI: -0.57, -0.07; p = 0.15; I2 = 39%], whereas for insulin resistance the effects were null. Results were not significant for the general population, except in the sensitivity analysis for fasting blood glucose. CONCLUSIONS: The consumption of blueberry and cranberry significantly reduced fasting blood glucose and glycated hemoglobin levels in individuals with diabetes, with high credibility of the evidence.

Multimorbidity and use of health services in a population diagnosed with COVID-19 in a municipality in the Southern Region of Brazil, 2020-2021: a cross-sectional study.

OBJECTIVE: To assess association between multimorbidity and use of health services in a population diagnosed with COVID-19, in southern Brazil. METHODS: This was a cross-sectional study with data from a longitudinal study carried out in the city of Rio Grande, Rio Grande do Sul, Brazil, in 2021 with all adult individuals diagnosed with COVID-19; descriptive analyses were performed and presented as proportions with 95% confidence intervals (95%CI); Poisson regression was performed and reported as prevalence ratios (PR) in order to assess association between multimorbidity (3 or more diseases) and healthcare service use. RESULTS: In total, 2,919 participants were included, of which 40.4% had multimorbidity (≥ 2 diseases); the adjusted results showed that individuals with multimorbidity were more likely to use most of the services assessed, PR = 3.21 (95%CI 1.40;7.37), for Emergency Rooms. CONCLUSION: Multimorbidity was associated with using different types of health services.

Independent, Stratified, and Joint Associations of Sedentary Time and Physical Activity With Cardiovascular Disease: A Systematic Review.

BACKGROUND: Recent statistics highlight cardiovascular diseases (CVD) as a major global cause of death. This review examines the methodological approaches and the main results of independent, stratified, and joint association of sedentary time (ST) and physical activity (PA) on CVD outcomes. METHODS: We searched PubMed, Embase, Web of Science, and Scopus for prospective cohorts that examined the independent, stratified, or joint associations of ST and PA with CVD outcomes. Independent associations were defined as analyses mutually adjusted for PA and ST. Stratified associations were considered when there was a reference group in each stratum of PA or ST, and joint associations were defined by a single reference group for all other combined categories of ST and PA levels. RESULTS: Of 45 articles, 69% explored independent association of ST or PA on CVD outcomes, while 31% using a stratified/joint approach. Most studies used self-reports for ST and PA and focused on CVD mortality. Mutually adjusted analyses identified ST positively and PA inversely associated to CVD outcomes. Stratified studies showed higher ST's pronounced impact on CVD for lower PA levels. High PA mitigated but did not eliminate ST's negative impact. Joint analyses revealed highest CVD risk in those with both high ST and low PA, and elevated risk in various intermediate combinations. CONCLUSIONS: Employing independent, stratified, and joint association approaches can yield distinct and complementary public health messages aimed at promoting cardiovascular health. Recommendations should aim to not only to encourage boosting PA levels, but also, concurrently decrease ST.

Body composition assessment in individuals with class II/III obesity: a narrative review.

BACKGROUND: Individuals with class II/III obesity have a high percentage of body fat. Assessing body composition in cases of severe obesity can be difficult and controversial both in clinical practice and scientific research. Thus, it is essential to explore the different aspects of evaluating body composition and to discuss the available methods to assess it in this population. AIMS: To summarise and discuss the methods used to measure body composition in adults with class II/III obesity and their potential in clinical practice and scientific research. METHODS: This is a narrative review using data from PubMed, Scielo, and Lilacs databases. Original articles on body composition analysis in adults with class II/III obesity i.e., a BMI ≥ 35 kg/m2 were eligible. Body composition assessment methods were analysed and described. RESULTS: Some imaging methods produced significantly accurate results. Dual-energy X-ray absorptiometry (DXA) significantly produces accurate results and has been used in clinical studies. However, due to its high cost, it is not applicable in clinical practice. Multifrequency bioelectrical impedance analysis (BIA) has good accuracy and is more appropriate for clinical practice than other methods. We have highlighted several aspects of the importance and applicability of performing body composition analysis in individuals with class II/III obesity. CONCLUSION: DXA has been considered the most adequate method for clinical research. Multifrequency BIA may be a viable alternative to DXA for use in clinical practice. Assessing body composition and its components is important for people with class II/III obesity. It can help improve the effectiveness of interventions and clinical treatments, especially in reducing the risk of losing muscle mass. Muscle loss can cause sarcopenic obesity and other clinical complications, so understanding body composition is crucial. Assessing body composition can also help understand the impact of interventions on bones and avoid clinical complications.

Effect of Probiotic Supplementation on Gut Microbiota and Sport Performance in Athletes and Physically Active Individuals: A Systematic Review.

The present systematic review aimed to evaluate the effect of probiotic supplementation on gut microbiota and sport performance in athletes and physically active individuals. This review followed the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (P RISMA). The search had no time limits and included the following databases: MEDLINE, LILACS, Scopus, Web of Science, Cochrane, and SP ORT Discus. The risk of bias was assessed through the updated version of the Cochrane tool for assessing the risk of bias in randomized trials (RoB 2). Nine randomized clinical trials (RCTs) were included, accounting for 216 participants. Of these, seven studies found positive results on sport performance. Additionally, some studies showed significant decrease in biochemical parameters linked to inflammation. It was also observed direct results in the microbiota composition of the participants, such as an increase in the abundance of probiotics and a decrease in certain pathogenic bacteria. Therefore, the use of probiotics showed improvement in inflammatory biomarkers and oxidative stress, which indirectly may contribute to the improvement of sport performance. However, the majority of the studies presented a high risk of bias, which impair the reproducibility of the results. While the field of probiotic supplementation and sport performance is emerging, the promising results from this systematic review suggest that further investigation through larger and more robust randomized clinical trials can provide valuable insights for athletes and their performance.

Exercise as medicine! Physical activity mitigated the impact of the COVID-19 pandemic on depressive symptoms in adults with depression.

We investigated the longitudinal association between physical activity (PA) and symptoms of depression and anxiety in people with depression during the COVID-19 pandemic. We used data from baseline (June 2020) to wave 3 (June 2021) of the PAMPA Cohort, an ambispective cohort with adults in south Brazil. The Hospital Anxiety and Depression Scale assessed depressive and anxiety symptoms in all waves. Participants reported frequency (minutes), type (aerobic, strength, combined), and place (out of home, at home) of physical activity at baseline. Generalized linear models were used to investigate the interaction between time and PA, adjusting for possible confounding variables. Subjective memory decline was assessed using multivariate Cox proportional hazard regression models to obtain adjusted hazard ratio (HR) and respective 95% confidence interval (CI). Participants (n = 424) with self-reported clinically diagnosed depression were included. We observed a non-linear increase trajectory of depression during the first year of the COVID-19 pandemic. PA was associated with a slower trajectory of depressive (slope: -1.89; 95%CI: -3.34, -0.43 points) but not anxiety (slope: -1.33; 95%CI: -2.93, 0.25 points) symptoms during the COVID-19 pandemic. Participants who continued physically active from pre-pandemic in wave 1 showed a lower risk of subjective memory decline during follow-up than those who persisted inactive in the same period (HR: 0.52; 95%CI: 0.30, 0.89). PA attenuated the impact of the COVID-19 pandemic on depressive symptoms in adults living with depression in south Brazil. Regularity of physical activity was associated with fewer depression and anxiety symptoms and a lower risk of subjective memory decline.

Major depressive episode in hospital workers during the Covid-19 pandemic in Brazil.

OBJECTIVES: To estimate prevalence and factors associated with major depressive episode (MDE), emphasizing occupational aspects, in workers of a public teaching hospital that is a reference for Covid-19 treatment. METHODS: A cross-sectional study was carried out between October and December 2020, after the first peak of the pandemic, interviewing 1,155 workers. The prevalence of MDE was estimated using the Patient Health Questionnaire (PHQ-9) algorithm. Multivariate hierarchical analysis was conducted using Poisson regression to assess associated factors. RESULTS: MDE prevalence was 15.3% (95%CI: 13.3-17.5) and was higher among young, white and female workers, those with a family history of depression, resident professionals, nursing professionals, workers who were exposed to three or more situations of moral dilemma, and those who had to put off a physiological need until later. Having a risk factor for Covid-19, being a smoker and being physically inactive were also positively associated with MDE. CONCLUSIONS: The study points to the considerable prevalence of MDE among tertiary health care workers; reviewing work processes is essential to reduce occupational stress and minimize the effects of the pandemic on mental health, preventing those problems from becoming chronic.

Overweight, obesity and risk of multimorbidity: A systematic review and meta-analysis of longitudinal studies.

This study aimed to review and quantify the association between overweight and obesity in the risk of multimorbidity among the general population. We conducted a systematic review and meta-analysis in the databases of Pubmed, Lilacs, Web of Science, Scopus, and Embase. We included cohort studies that assessed the association between overweight and/or obesity with the risk of multimorbidity. The Newcastle-Ottawa assessed the studies' individual quality. A random-effect model meta-analysis was performed to evaluate the association between overweight and obesity with the relative risk (RR) of multimorbidity; the I2 test evaluated heterogeneity. After excluding duplicates, we found 1.655 manuscripts, of which eight met the inclusion criteria. Of these, seven (87.5%) evidenced an increased risk of multimorbidity among subjects with overweight and/or obesity. Overall, we observed an increased risk of multimorbidity among subjects with overweight (RR: 1.26; CI95%: 1.12; 1.40, I2 = 98%) and obesity (RR: 1.99; CI95%: 1.45;2.72, I2 = 99%) compared to normal weight. According to the I2 test, the heterogeneities of the meta-analyses were high. The Newcastle-Ottawa scale showed that all studies were classified as high quality. Further longitudinal studies are needed, including different populations and stratifications by sex, age, and other variables.

Sex distinctions regarding serum zinc levels in critically ill COVID-19 patients.

PURPOSE: Men and women exhibit different presentations in COVID-19. In X chromosome, changes in zinc finger domains cause disorders of sex development. So, we aimed to evaluate sex distinctions regarding serum zinc in severe COVID-19. METHOD: Data from electronic records of severe COVID-19 patients were correlated with serum zinc. Logistic regression investigated predictors and protectors of hypozincemia in men and women. RESULTS: We assessed 188 medical records (men = 114, women = 74). In men, low zinc was correlated with hypertension (cc = 0.303, p < 0.001), diabetes (cc = 0.198, p = 0.031), hemoglobin (cc = -0.258, p = 0.005), and albumin (cc = -0.219, p = 0.027). Low lymphocyte count (cc = 0.315, p = 0.005), C-reactive protein (cc = -0.248, p = 0.037), and enteral nutrition (cc = 0.269, p = 0.016) were correlated with hypozincemia in women. Age correlated with low zinc in men (c = -0.304, p = 0.001) and women (cc = -0.298, p = 0.010). In men, hypertension (OR = 4.905, p = 0.005) and lymphopenia (OR = -0.999, p = 0.019) were low zinc predictors, while lung injury > 50% was a protective factor (OR = -0.280, p = 0.025). Lymphopenia (OR = -0.999, p = 0.005) and difficult weaning from mechanical ventilation (MV) (OR = 4.359, p = 0.036) were predictors of hypozincemia in women. Difficult weaning from MV (OR = 3.012, p = 0.003) and age (OR = 1.038, p = 0.002) were hypozincemia predictors regardless sex. CONCLUSION: Hypertension, diabetes, hemoglobin and albumin were correlated with low zinc in men. Lymphopenia, reactive-C protein and enteral nutrition were correlated with low zinc in women. In men, hypertension and low lymphocytes were predictors of hypozincemia. Lymphopenia and difficult weaning from MV were predictors of low zinc in women.

Childhood health and educational disadvantage are associated with adult multimorbidity in the global south: findings from a cross-sectional analysis of nationally representative surveys in India and Brazil.

INTRODUCTION: Multimorbidity has emerged as a major healthcare challenge in low/middle-income countries (LMICs) such as India and Brazil. Life course epidemiology suggests that adverse events in early life contribute to an individual's later health in adulthood. However, little is known about the influence of early life health and social factors on the development of multimorbidity in adulthood in LMICs. We aimed to explore the association of adult multimorbidity with childhood health and social disadvantages among two LMICs, India and Brazil. METHODS: We conducted a secondary data analysis of older adults aged ≥50 years using nationally representative surveys from Longitudinal Ageing Study in India, 2017-2018 (n=51 481) and 'Estudo Longitudinal da Saude e Bem-Estar dos Idosos Brasileirous', 2015-2016 (n=8730). We estimated the prevalence of multimorbidity along with 95% CI as a measure of uncertainty for all weighted proportions. Log link in generalised linear model was used to assess the association between childhood health and disadvantages with multimorbidity, reported as adjusted prevalence ratio (APR). RESULTS: The prevalence of multimorbidity was 25.53% and 55.24% in India and Brazil, respectively. Participants who perceived their childhood health as poor and missed school for a month or more due to illness had the highest level of multimorbidity across both countries. After adjusting for age and gender, a significant association between adult multimorbidity and poor self-rated childhood health (APR: (India: 1.38, 1.16 to 1.65) and (Brazil: 1.19, 1.09 to 1.30)); and missed school for a month due to illness (AOR: (India: 1.73, 1.49 to 2.01) and (Brazil: 1.16, 1.08 to 1.25)) was observed. CONCLUSION: Early life health, educational and economic disadvantages are associated with adult multimorbidity and appear to contribute to the later course of life. A life course approach to the prevention of multimorbidity in adulthood in LMICs may be useful in health programmes and policies.

A distributional regression approach to modeling the impact of structural and intermediary social determinants on communities burdened by tuberculosis in Eastern Amazonia - Brazil.

BACKGROUND: Tuberculosis (TB) is a disease that is influenced by social determinants of health. However, the specific structural and intermediary determinants of TB in Eastern Amazonia remain unclear. Despite being rich in natural resources, the region faces significant challenges related to poverty, inequality, and neglected diseases. The objective of this study was to use mathematical modeling to evaluate the influence of structural and intermediary determinants of health on TB in Eastern Amazonia, Brazil. METHODS: This cross-sectional included all TB cases diagnosed and registered in the Notifiable Diseases Information System (SINAN) from 2001 to 2017. Data on social determinants were collected at the census tract level. The generalized additive model for location, scale, and shape (GAMLSS) framework was employed to identify the effect of social determinants on communities with a high TB prevalence. The Double Poisson distribution (DPO) was chosen, and inclusion of quadratic effects was tested. RESULTS: A total of 1730 individuals were diagnosed with TB and reported in SINAN during the analyzed period. The majority were female (59.3%), aged 31 to 59 years (47.6%), identified as blacks (67.9%), and had incomplete elementary education (46.6%). The prevalence of alcoholism was 8.6% and mental illness was 0.7%. GAMLSS analyses demonstrated that the risk of community incidence of TB is associated with the proportion of the population lacking basic sanitation, as well as with the age groups of 16-31 years and > 61 years. CONCLUSIONS: The study highlights the strategic utility of GAMLSS in identifying high-risk areas for TB. Models should encompass a broader range of social determinants to inform policies aimed at reducing inequality and achieving the goals of the End TB strategy.

Intake of ultra-processed foods and sleep-related outcomes: A systematic review and meta-analysis.

The aim of this review article was to evaluate the association between the intake of ultra-processed foods and sleep-related outcomes through a systematic review and meta-analysis. Pubmed, LILACS, Scielo, Scopus, Embase, and Web of Science were searched on December 31, 2021, for studies that evaluated the association between ultra-processed foods and sleep-related outcomes (self-reported sleep duration and quality). Pooled odds ratios were assessed through a random-effects model; heterogeneity was evaluated using the I2 statistic. Fifteen cross-sectional studies were included; 14 showed that the high intake of ultra-processed foods was statistically significantly associated with sleep-related outcomes (sleep duration and quality). In the crude analysis, compared with low intake, high intake of ultra-processed foods increased the odds of sleep-related outcomes, with increased odds among children and/or adolescents, and null results among adults. When adjusted for cofounders, we found statistically significant results for all ages. The high intake of ultra-processed foods was associated with sleep-related outcomes, with moderate credibility of the evidence. Longitudinal studies and clinical trials confirming these findings are necessary.