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Anemia is a problem highly prevalent in children associated with multiple factors. This study aims to identify factors associated with anemia in children under 5 years of age in Ecuador, based on the social determinants of health model. A secondary database study was conducted with information from 18,688 children aged 6–59 months included in the National Survey of Child Malnutrition 2022–2023. Anemia was defined by hemoglobin levels adjusted for age and height at sea level. Bivariate and multivariable Poisson regression for complex samples were used to calculate prevalence ratios with 95% confidence intervals. Anemia was found in 46.4% (95% CI 44.5–48.4) of children aged 6–23 months and 39.8% (95% CI 38.2–41.5) of those aged 24–59 months. For the 6–23‐month age group, the prevalence of anemia was higher in the lowest economic quintiles 1 and 2 (PR 1.26; 95% CI 1.05–1.51; PR 1.31; 95% CI 1.09–1.56), in those with latrines compared with toilets (PR 1.37; 95% CI 1.05–1.77), in children of adolescent or younger mothers (PR 1.29; 95% CI 1.08–1.53; PR 1.19; 95% CI 1.08–1.31), and in those with recent infectious diseases (PR 1.13; 95% CI 1.03–1.24). For the 24‐ to 59‐month‐old group, the prevalence of anemia was higher in males than in females (PR 1.10, 95% CI 1.03–1.18), in indigenous people and Afro‐Ecuadorians compared to mestizos or whites (PR 1.11, 95% CI 1.01–1.23; PR 1.35, 95% CI 1.19–1.53). Children of mothers with no education or only primary education had a 15% higher prevalence of anemia (PR 1.15, 95% CI 1.03–1.29) compared with children of mothers with a university education. In conclusion, gaps were found by gender, ethnicity, and socioeconomic status associated with the prevalence of anemia in children. A comprehensive approach is needed to reduce the prevalence of anemia in childhood. Four out of 10 children under 5 years of age in Ecuador suffer from anemia. Structural determinants of health, such as poverty, low maternal education, belonging to indigenous and Afro‐descendant ethnic groups, and intermediate determinants, such as access to food, infectious diseases, and sanitation and housing conditions, showed a significant association with anemia. This suggests the importance of policies aimed at improving living conditions, access to food, and the prevention of infectious diseases in children.

Objective To develop and validate a prognostic model for incident knee osteoarthritis (KOA) in a general population and determine the value of different risk factor groups to prediction. Methods The prognostic model was developed in 2628 individuals from the Rotterdam Study-I (RS-I). Univariate and multivariate analyses were performed for questionnaire/easily obtainable variables, imaging variables, genetic and biochemical markers. The extended multivariate model was tested on discrimination (receiver operating characteristic curve and area under the curve (AUC)) in two other population-based cohorts: Rotterdam Study-II and Chingford Study. Results In RS-I, there was moderate predictive value for incident KOA based on the genetic score alone in subjects aged <65 years (AUC 0.65), while it was only 0.55 for subjects aged ≥65 years. The AUC for gender, age and body mass index (BMI) in prediction for KOA was 0.66. Addition of the questionnaire variables, genetic score or biochemical marker urinary C-terminal cross-linked telopeptide of type II collagen to the model did not change the AUC. However, when adding the knee baseline KL score to the model the AUC increased to 0.79. Applying external validation, similar results were observed in the Rotterdam Study-II and the Chingford Study. Conclusions Easy obtainable ‘Questionnaire’ variables, genetic markers, OA at other joint sites and biochemical markers add only modestly to the prediction of KOA incidence using age, gender and BMI in an elderly population. Doubtful minor radiographic degenerative features in the knee, however, are a very strong predictor of future KOA. This is an important finding, as many radiologists do not report minor degenerative changes in the knee.

We hypothesize that high altitudes could have an adverse effect on neonatal health outcomes, especially among at-risk neonates. The current study aims to assess the association between higher altitudes on survival time among at-risk neonates. Retrospective survival analysis. Setting: Ecuadorian neonates who died at ≤28 days of life. Patients: We analyzed the nationwide dataset of neonatal deaths from the Surveillance System of Neonatal Mortality of the Ministry of Public Health of Ecuador, registered from 126 public and private health care facilities, between January 2014 to September 2017. Main outcome measures: We retrospectively reviewed 3016 patients. We performed a survival analysis by setting the survival time in days as the primary outcome and fixed and mixed-effects Cox proportional hazards models to estimate hazard ratios (HR) for each altitude stratum of each one of the health care facilities in which those neonates were attended, adjusting by individual variables (i.e., birth weight, gestational age at birth, Apgar scale at 5 minutes, and comorbidities); and contextual variables (i.e., administrative planning areas, type of health care facility, and level of care). Altitudes of health care facilities ranging from 80 to <2500 m, 2500 to <2750m, and ≥2750 m were associated respectively with 20% (95% CI: 1% to 44%), 32% (95% CI:<1% to 79%) and 37% (95% CI: 8% to 75%) increased HR; compared with altitudes at <80 m. Higher altitudes are independently associated with shorter survival time, as measured by days among at-risk neonates. Altitude should be considered when assessing the risk of having negative health outcomes during neonatal period.

Osteoporosis is diagnosed by the measurement of bone mineral density, which is a highly heritable and multifactorial trait. We aimed to identify genetic loci that are associated with bone mineral density. In this genome-wide association study, we identified the most promising of 314 075 single nucleotide polymorphisms (SNPs) in 2094 women in a UK study. We then tested these SNPs for replication in 6463 people from three other cohorts in western Europe. We also investigated allelic expression in lymphoblast cell lines. We tested the association between the replicated SNPs and osteoporotic fractures with data from two studies. We identified genome-wide evidence for an association between bone mineral density and two SNPs (p<5×10 −8). The SNPs were rs4355801, on chromosome 8, near to the TNFRSF11B (osteoprotegerin) gene, and rs3736228, on chromosome 11 in the LRP5 (lipoprotein-receptor-related protein) gene. A non-synonymous SNP in the LRP5 gene was associated with decreased bone mineral density (rs3736228, p=6·3×10 −12 for lumbar spine and p=1·9×10 −4 for femoral neck) and an increased risk of both osteoporotic fractures (odds ratio [OR] 1·3, 95% CI 1·09–1·52, p=0·002) and osteoporosis (OR 1·3, 1·08–1·63, p=0·008). Three SNPs near the TNFRSF11B gene were associated with decreased bone mineral density (top SNP, rs4355801: p=7·6×10 −10 for lumbar spine and p=3·3×10 −8 for femoral neck) and increased risk of osteoporosis (OR 1·2, 95% CI 1·01–1·42, p=0·038). For carriers of the risk allele at rs4355801, expression of TNFRSF11B in lymphoblast cell lines was halved (p=3·0×10 −6). 1883 (22%) of 8557 people were at least heterozygous for these risk alleles, and these alleles had a cumulative association with bone mineral density (trend p=2·3×10 −17). The presence of both risk alleles increased the risk of osteoporotic fractures (OR 1·3, 1·08–1·63, p=0·006) and this effect was independent of bone mineral density. Two gene variants of key biological proteins increase the risk of osteoporosis and osteoporotic fracture. The combined effect of these risk alleles on fractures is similar to that of most well-replicated environmental risk factors, and they are present in more than one in five white people, suggesting a potential role in screening. Wellcome Trust, European Commission, NWO Investments, Arthritis Research Campaign, Chronic Disease Research Foundation, Canadian Institutes of Health Research, European Society for Clinical and Economic Aspects of Osteoporosis, Genome Canada, Genome Quebéc, Canada Research Chairs, National Health and Medical Research Council of Australia, and European Union.

Background Despite the multiple initiatives implemented to reduce stunting in Ecuador, it continues to be a public health problem with a significant prevalence. One of the most affected groups is the rural indigenous population. This study aimed to analyze the prevalence of chronic malnutrition in indigenous children under 5 years of age and its association with health determinants, focusing on one of the territories with the highest prevalence of stunting. Methods A cross-sectional study in 1,204 Kichwa indigenous children under the age of five, residing in rural areas of the counties with the highest presence of indigenous in the province of Chimborazo-Ecuador. A questionnaire on health determinants was applied and anthropometric measurements were taken on the child and the mother. Stunting was determined by the height-for-age z-score of less than 2 standard deviations, according to the World Health Organization´s parameters. Data were analyzed using bivariate and multivariate Poisson regression. Results 51.6% (n = 646) of the children are stunted. Height-for-age z-scores were significantly better for girls, children under 12 months, families without overcrowding, and families with higher family income. The variables that were significantly and independently associated with stunting were: overcrowding (PR 1.20, 95% CI 1–1.44), the mother required that the father give her money to buy medicine (PR 1.33, 95% CI 1.04–1.71), the father did not give her money to support herself in the last 12 months (1.58, 95% CI 1.15–2.17), mother’s height less than 150 cm (PR 1.42, 95% CI 1.19–1.69) and the child was very small at birth (PR 1.75, 95% CI 1.22–2.5). Conclusion One out of every two rural indigenous children included in this study is stunted. The high prevalence of stunting in the indigenous and rural population is multicausal, and requires an intersectoral and multidisciplinary approach. This study identified three fundamental elements on which public policy could focus: (a) reduce overcrowding conditions, improving economic income in the rural sector (for example, through the strengthening of agriculture), (b) provide prenatal care and comprehensive postnatal care, and (c) promote strategies aimed at strengthening the empowerment of women.

Background The indigenous child population in Ecuador has a high prevalence of stunting. There is limited evidence of the association between breastfeeding, feeding practices, and stunting in indigenous children. This study aimed to analyze the prevalence of breastfeeding and complementary feeding practices and explore their association with stunting in Ecuadorian indigenous children under two years of age. Methods Cross-sectional study of secondary data analysis using the 2012 Ecuador National Health and Nutrition Study, in 625 children aged 0–23 months (48,069 expanded sample), representative for the indigenous population. Breastfeeding and complementary feeding indicators were analyzed by age groups. Timely initiation of breastfeeding (within one hour after birth), exclusive breastfeeding (infants under six months who received only breast milk for the previous day), and other indicators were measured. Chi-square test or Fisher's exact test and logistic regression for complex samples were used to explore association with demographic and socioeconomic factors and stunting. Results Twenty-six-point eight percent of the children were stunted. Stunting occurred mainly in children with rural residence, on poor households, and where there were four or more children. Most of the children had a timely initiation of breastfeeding (69.5% for 0–12 months and 75.5% for 13–23 months) and exclusive breastfeeding up to six months (78.2%). Among children between 6–12 months of age, 99.3% continued to be breastfed. In children from ages 6 to 12 months, 32.5% received food with adequate dietary diversity. Lower percentages of complementary feeding occurred in the poorest, adolescent mothers or those with less education. Children who did not receive the minimum frequency of meals for their age had higher odds of stunting (OR 3.28; 95% CI 1.3, 8.27). Children from age 19 to 23 months who consumed foods rich in iron showed lower probabilities of stunting (OR 0.04; 95% CI 0.00, 0.51). Conclusions Breastfeeding practices reached a prevalence of 70% or more, without being associated with stunting. Complementary feeding practices showed differences by socioeconomic condition. Not reaching the minimum meal frequency between 6 and 12 months of age was associated with stunting. Plans and strategies are necessary to promote adequate feeding and breastfeeding practices in the indigenous population.

Antidepressant use has been associated with increased fall risk. Antidepressant-related adverse drug reactions (e.g. orthostatic hypotension) depend partly on genetic variation. We hypothesized that candidate genetic polymorphisms are associated with fall risk in older antidepressant users. The association between antidepressant use and falls was cross-sectionally investigated in a cohort of Dutch older adults by logistic regression analyses. In case of significant interaction product term of antidepressant use and candidate polymorphism, the association between the variant genotype and fall risk was assessed within antidepressant users and the association between antidepressant use and fall risk was investigated stratified per genotype. Secondly, a look-up of the candidate genes was performed in an existing genome-wide association study on drug-related falls in antidepressant users within the UK Biobank. In antidepressant users, genetic associations for our candidate polymorphisms for fall history were investigated. In antidepressant users(n = 566), for rs28371725 (CYP2D6*41) fall risk was decreased in TC/variant allele carriers compared to CC/non-variant allele carriers (OR = 0.45, 95% CI 0.26-0.80). Concerning rs1057910 (CYP2C9*3), fall risk was increased in CA/variant allele carriers compared to AA/non-variant allele carriers (OR = 1.95, 95% CI 1.17-3.27). Regarding, rs1045642 (ABCB1), fall risk was increased in AG/variant allele carriers compared to GG/non-variant allele carriers (OR = 1.69, 95% CI 1.07-2.69). Concerning the ABCB1-haplotype (rs1045642/rs1128503), fall risk was increased in AA-AA/variant allele carriers compared to GG-GG/non-variant allele carriers (OR = 1.86, 95% CI 1.05-3.29). In the UK Biobank, in antidepressant users(n = 34,000) T/variant-allele of rs28371725 (CYP2D*41) was associated with increased fall risk (OR = 1.06, 95% CI 1.01-1.12). G/non-variant-allele of rs4244285 (CY2C19*2) was associated with decreased risk (OR = 0.96, 95% CI 0.92-1.00). This is the first study showing that certain genetic variants modify antidepressant-related fall risk. The results were not always consistent across the studies and should be validated in a study with a prospective design. However, pharmacogenetics might have value in antidepressant (de)prescribing in falls prevention.

Background In 2011–2012, an outbreak of measles occurred in Ecuador. This study sought to ascertain which population characteristics were associated. Methods Case-control study of aggregate data. The unit of analysis was the parish (smallest geographic division). The national communicable disease surveillance database was used to identify 52 case parishes (with at least one confirmed case of measles) and 972 control parishes (no cases of measles). A hierarchical model was used to determine the association of measles with population characteristics and access to health care. Results Case parishes were mostly urban and had a higher proportion of children under 1 year of age, heads of household with higher educational attainment, larger indigenous population, lower rates of measles immunization, and lower rates of antenatal care visit attendance. On multivariate analysis, associations were found with educational attainment of head of household ≥8 years (OR: 0.29; 95%CI 0.15–0.57) and ≥1.4% indigenous population (OR: 3.29; 95%CI 1.63–6.68). Antenatal care visit attendance had a protective effect against measles (OR: 0.98; 95%CI 0.97–0.99). Measles vaccination was protective of the outbreak (OR: 0.97; 95%CI 0.95–0.98). The magnitude of these associations was modest, but represents the effect of single protective factors, capable of acting at the population level regardless of socioeconomic, biological, and environmental confounding factors. Conclusion In Ecuador, the parishes with the highest percentage of indigenous populations and those with the lowest vaccination coverage were the most vulnerable during the measles outbreak.

Mitochondrial DNA copy number (mtDNA-CN) measured from blood specimens is a minimally invasive marker of mitochondrial function that exhibits both inter-individual and intercellular variation. To identify genes involved in regulating mitochondrial function, we performed a genome-wide association study (GWAS) in 465,809 White individuals from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank (UKB). We identified 133 SNPs with statistically significant, independent effects associated with mtDNA-CN across 100 loci. A combination of fine-mapping, variant annotation, and co-localization analyses was used to prioritize genes within each of the 133 independent sites. Putative causal genes were enriched for known mitochondrial DNA depletion syndromes (p = 3.09 × 10–15) and the gene ontology (GO) terms for mtDNA metabolism (p = 1.43 × 10–8) and mtDNA replication (p = 1.2 × 10–7). A clustering approach leveraged pleiotropy between mtDNA-CN associated SNPs and 41 mtDNA-CN associated phenotypes to identify functional domains, revealing three distinct groups, including platelet activation, megakaryocyte proliferation, and mtDNA metabolism. Finally, using mitochondrial SNPs, we establish causal relationships between mitochondrial function and a variety of blood cell-related traits, kidney function, liver function and overall (p = 0.044) and non-cancer mortality (p = 6.56 × 10–4).

Digital health literacy influences decision-making in health. There are no validated instruments to evaluate the digital literacy about COVID-19 in Spanish-speaking countries. This study aimed to validate the Digital Health Literacy Instrument (DHLI) about COVID-19 adapted to Spanish (COVID-DHLI-Spanish) in university students and to describe its most important results. A cross-sectional study was developed with 2318 university students from Spain, Puerto Rico, and Ecuador. Internal consistency was measured with Cronbach’s alpha and principal component analysis. Construct validity was analyzed using Spearman’s correlations and the Kruskal–Wallis test. The internal consistency of the questionnaire was good for the global scale (Cronbach’s alpha 0.69, 95% CI 0.67) as well as for its dimensions. A total of 51.1% (n = 946) of students had sufficient digital literacy, 40.1% (n = 742) had problematic digital literacy, and 8.8% (n = 162) had inadequate digital literacy. The DHLI was directly and significantly correlated with age, subjective social perception, sense of coherence, and well-being (p < 0.001). The average digital literacy was higher in men than in women, in students older than 22 years, and in those with greater satisfaction with online information (p < 0.001). The COVID-DHLI-Spanish is useful for measuring the digital literacy about COVID-19 in Spanish-speaking countries. This study suggests gaps by gender and socioeconomic perception.