Search Results (66)

Introduction: The U.S. Child and Adult Care Food Program (CACFP) provides tiered reimbursements for healthy foods for children at participating family childcare homes (FCCH). Higher tier 1 reimbursements are for providers who operate in low-income communities or who are themselves living on a low income. All FCCHs received a higher rate to address food insecurity during the COVID-19 pandemic. Methods: A survey was administered in the spring of 2023 to a randomly selected sample of licensed California FCCHs to assess the perceived impacts of the increased reimbursement on CACFP participation and anticipated challenges with reinstated tiered rates. A total of 518 surveys (261 tier 1, 257 tier 2) were analyzed using linear or logistic regression, adjusting for confounders. Results: Among tier 1 and tier 2 providers combined, over half reported lowering out-of-pocket spending for food (59%) and serving greater variety (55%) and quality (54%) of foods. Tier 2 providers reported experiencing more benefits (p < 0.05) and tended to be more likely to implement optional CACFP best practices (although not significantly different between tiers). Most FCCH providers found reimbursement rates were inadequate before (83%) the pandemic; this amount decreased to 54% post-pandemic for tier 1 and tier 2 providers combined. Conclusions: The temporary CACFP reimbursement positively impacted the perceived quality and variety of foods served to children, especially among tier 2 providers. Increased reimbursements for all FCCHs may ensure children have access to the healthy meals and snacks provided by the CACFP. Full article

Parents are an essential element of family intervention for all children, including those with autism spectrum disorders (ASDs). We can better understand and address parents’ knowledge gaps about ASD through in-depth research and inquiry into parents’ current level of understanding, attitude, and perception. We aimed to assess the knowledge, attitude, and perception of ASD and influencing factors towards ASD among a group of parents with and without a child diagnosed with ASD in Sakaka, Al-Jouf Region, Saudi Arabia. Using the cross-sectional study design, information from the parents was gathered using a pretested questionnaire that included validated scales for measuring knowledge, attitudes, and perceptions related to ASD. The required number of participants was selected using the convenience sampling method. We used Spearman’s correlation test to determine the strength and direction of correlation between each domain. As a last step, we analyzed the influencing factors using binomial logistic regression. Among the 400 participants, 41.2% had high knowledge, 69.1% had a positive attitude, and 60.3% had a high perception of ASD. We found that knowledge was significantly higher among the parents with autistic individuals in the family (p = 038). The high and positive attitude was significantly greater among females (p = 0.010) and parents with high income (p = 0.007), and the perception was significantly associated with females (p = 0.037) and highly educated participants (p = 0.046). Furthermore, we found a positive correlation between knowledge, attitude, and perception. Overall, only less than half of the participants had a high knowledge of ASD. Hence, we recommend awareness-raising programs for the parents in this region. Furthermore, a prospective study involving parents from all provinces of Saudi Arabia is recommended. Full article

Moments of order statistics (OSs) characterize the Weibull–geometric and half-logistic families of distributions, of which the extended exponential–geometric (EEG) distribution is a particular case. The EEG distribution is used to create the log-extended exponential–geometric (LEEG) distribution, which is bounded in the unit interval (0, 1). In addition to the generalized Stirling numbers of the first kind, a few years ago, the polylogarithm function and the Lerch transcendent function were used to determine the moments of order statistics of the LEEG distributions. As an application based on the L-moments, we expand the features of the LEEG distribution in this work. In terms of the Gauss hypergeometric function, this work presents the precise equations and recurrence relations for the single moments of OSs from the LEEG distribution. Along with recurrence relations between the expectations of function of two OSs from the LEEG distribution, it also displays the truncated and conditional distribution of the OSs. Additionally, we use the L-moments to estimate the parameters of the LEEG distribution. We further fit the LEEG distribution on three practical data sets from medical and environmental sciences areas. It is seen that the estimated parameters through L-moments of the OSs give a superior fit. We finally determine the correspondence between the entropies and the OSs. Full article

COVID-19 vaccination during pregnancy has been recommended, but the perceptions related to uptake remain unexplored. This pilot study aimed to explore how perceptions influence COVID-19 vaccine uptake among a sample of 115 pregnant women in Kenya, recruited via WhatsApp. Data were collected using an adapted online questionnaire between May and October 2022. Logistic analyses assessed the relationship between COVID-19 vaccination uptake and the Theory of Reasoned Action (TRA) constructs: attitudes and subjective norms. COVID-19 vaccination coverage was 73%, with vaccine hesitancy estimated at 41.4% among the unvaccinated group. Most participants had completed college education and had good knowledge of COVID-19 vaccines. There was no significant effect of enrollment in WhatsApp pregnancy groups on attitudes toward COVID-19 vaccination. Pregnant women were concerned about vaccine effectiveness (31.1%), and almost one-half (47.3%) were discouraged from receiving COVID-19 vaccines. Positive attitudes towards vaccination were associated with COVID-19 vaccination (aOR 2.81; 95% CI 1.12–7.04; p = 0.027), but no significant relationship was found between COVID-19 vaccination and strong subjective norms (influences to get COVID-19 vaccines). Our findings suggest that strategies to improve vaccination should consider targeting attitudes and proximal social networks (friends/family) to facilitate vaccination decision-making. WhatsApp can be used for research distribution and enhance the dissemination of accurate information. Full article

In this research, we introduce a truncation of the half-logistic distribution function as a multiplicative Archimedean generator. The corresponding Archimedean copula is obtained, namely the half-logistic family. The dependency structure of this copula is distinct from other well-known ones. Kendall’s tau correlation coefficient is obtained in exact form and found to cover the entire positive dependence range (i.e., [0, 1]). We have proven that this copula is positively ordered and has no tail dependencies. The density of this copula is shown to be totally positive of order two. An extension of this copula is also introduced by adding a second parameter. This extension allows for a negative correlation and connects the famous Frank copula to the half-logistic copula. Two datasets were used to compare the half-logistic copula with some other known copula models. Full article

(1) Background: Children are susceptible to home injuries. How prepared parents were to protect their children from accidents before and during the COVID-19 quarantine is uncertain. (2) Methods: We conducted a community-based, cross-sectional study in Greece between November and December 2021. We asked parents to complete an anonymous questionnaire voluntarily. Questions focused on accident-preventive measures taken at home during the COVID-19 quarantine. (3) Results: A greater proportion of parents took protective measures for a safer home before the lockdown than during the quarantine, while an interesting percentage of parents never utilized preventive measures for their children. Slightly more than half (58.6%) of parents did not seem to worry about a possible increase in domestic accidents during the quarantine. It was observed that those who had one or two children took more protective measures than those with more than two children. Older parents seemed to explain to their children how to access emergency services more often. Mothers stayed at home with the children more often, and their education affected the presence of some of the assessed measures. In our logistic regression modeling, parental concern about accidents was more related to the incidence of an accident during the pandemic and attendance at seminars. (4) Conclusions: Although the COVID-19 lockdowns disorganized family life, parents were aware of the importance of their parenting role in creating a safe environment for children, but according to the study, there is room for improvement. Full article

Concern for the environment when making dietary choices has grown as the contribution of the food sector to global greenhouse gas emissions becomes more widely known. Understanding the correlates of beef eating could assist in the targeting of campaigns to reduce the consumption of high-impact foods. The objective of this study was to identify the demographic, socioeconomic, and behavioral correlates of disproportionate beef consumption in the United States. We analyzed 24-h dietary recall data from adults (n = 10,248) in the 2015–2018 National Health and Nutrition Examination Survey (NHANES). Disproportionate beef consumption was defined as an intake greater than four ounce-equivalents per 2200 kcal. Associations of this indicator variable with gender, age, race/ethnicity, education, family income, diet knowledge, and away-from-home meals were assessed using logistic regression, incorporating survey design and weighting. Disproportionate beef diets were consumed by 12% of individuals, but accounted for half of all beef consumed. Males were more likely than females (p < 0.001) to consume these diets. This relationship was seen in all bivariate and multivariable models. Older adults, college graduates, and those who looked up the MyPlate educational campaign online were less likely (p < 0.01) to consume a disproportionate beef diet. While almost one-third of reported consumption came from cuts of beef (e.g., steak or brisket), six of the top ten beef sources were mixed dishes: burgers, meat mixed dishes, burritos and tacos, frankfurters, soups, and pasta. Efforts to address climate change through diet modification could benefit from targeting campaigns to the highest consumers of beef, as their consumption accounts for half of all beef consumed. Full article

This study aimed to explore antibiotic knowledge, antibiotic resistance knowledge, and antibiotic use among adults in Bangkok, Thailand. This is a secondary analysis of cross-sectional data generated from a sample of 161 individuals living in Bangkok. Participants completed an online self-administered questionnaire developed by the World Health Organization. Descriptive analysis, the chi-square test, and multiple logistic regression analyses were performed. The sample comprised more females (56.5%) than males (42.2%). The majority of responders (67.7%) were between the ages of 18 and 40. More than half of the respondents mistakenly believed that antibiotics could treat colds and flu (54.7% and 47.2%, respectively). About 54.7% were aware that antibiotic resistance could harm them and their families. The chi-square test results showed that the levels of education were associated with antibiotic knowledge (p = 0.012), antibiotic resistance knowledge (p < 0.001), and antibiotic use (p = 0.023). Multiple logistic regressions showed that respondents with at least a bachelor’s degree or higher had better knowledge of antibiotics. Respondents who worked in the profession had better knowledge of antibiotic resistance. Respondents with sufficient incomes were more likely to use antibiotics. Baseline data from the study will be useful in antibiotic stewardship and public health campaigns among Bangkok residents. Full article

Background and Objectives: Glaucoma is a major cause of irreversible visual impairment and blindness, so its timely detection is crucial. Retinal images from diabetic retinopathy screening programmes (DRSP) provide an opportunity to detect undiagnosed glaucoma. Our aim was to find out which retinal image indicators are most suitable for referring DRSP patients for glaucoma assessment and to determine the glaucoma detection potential of Slovenian DRSP. Materials and Methods: We reviewed retinal images of patients from the DRSP at the University Medical Centre Ljubljana (November 2019–January 2020, May–August 2020). Patients with at least one indicator and some randomly selected patients without indicators were invited for an eye examination. Suspect glaucoma and glaucoma patients were considered accurately referred. Logistic regression (LOGIT) with patients as statistical units and generalised estimating equation with logistic regression (GEE) with eyes as statistical units were used to determine the referral accuracy of indicators. Results: Of the 2230 patients reviewed, 209 patients (10.1%) had at least one indicator on a retinal image of either one eye or both eyes. A total of 149 (129 with at least one indicator and 20 without) attended the eye exam. Seventy-nine (53.0%) were glaucoma negative, 54 (36.2%) suspect glaucoma, and 16 (10.7%) glaucoma positive. Seven glaucoma patients were newly detected. Neuroretinal rim notch predicted glaucoma in all cases. The cup-to-disc ratio was the most important indicator for accurate referral (odds ratio 7.59 (95% CI 3.98–14.47; p < 0.001) and remained statistically significant multivariably. Family history of glaucoma also showed an impact (odds ratio 3.06 (95% CI 1.02–9.19; p = 0.046) but remained statistically significant only in the LOGIT multivariable model. Other indicators and confounders were not statistically significant in the multivariable models. Conclusions: Our results suggest that the neuroretinal rim notch and cup-to-disc ratio are the most important for accurate glaucoma referral from retinal images in DRSP. Approximately half of the glaucoma cases in DRSPs may be undiagnosed. Full article

In this study, we introduce a new generalized family of distributions called the Exponentiated Half Logistic-Harris-G (EHL-Harris-G) distribution, which extends the Harris-G distribution. The motivation for introducing this generalized family of distributions lies in its ability to overcome the limitations of previous families, enhance flexibility, improve tail behavior, provide better statistical properties and find applications in several fields. Several statistical properties, including hazard rate function, quantile function, moments, moments of residual life, distribution of the order statistics and Rényi entropy are discussed. Risk measures, such as value at risk, tail value at risk, tail variance and tail variance premium, are also derived and studied. To estimate the parameters of the EHL-Harris-G family of distributions, the following six different estimation approaches are used: maximum likelihood (MLE), least-squares (LS), weighted least-squares (WLS), maximum product spacing (MPS), Cramér–von Mises (CVM), and Anderson–Darling (AD). The Monte Carlo simulation results for EHL-Harris-Weibull (EHL-Harris-W) show that the MLE method allows us to obtain better estimates, followed by WLS and then AD. Finally, we show that the EHL-Harris-W distribution is superior to some other equi-parameter non-nested models in the literature, by fitting it to two real-life data sets from different disciplines. Full article

Poor nutrition outcomes among children have become one of the major public health concerns in South Africa, attributed to poor feeding practices and maternal nutrition-related knowledge with conflicting data. In view of this, a cross-sectional study was conducted to determine the association of nutrition outcomes of children aged under two years with feeding practices and maternal nutrition-related knowledge in Mbombela, South Africa. Mothers’ nutrition-related knowledge was estimated using an adapted structured questionnaire on colostrum, continued breastfeeding, diarrhea prevention and treatment using oral rehydration solution, immunization, and family planning, and scored as excellent (80–100), good (60–79), average (40–59), and fair (0–39). This was along with questions on socio-demographic factors and obstetric history, as well as anthropometric measurements. Child nutrition outcomes were estimated by WHO classification using z-scores for stunting (length-for-age (LAZ)), underweight (weight-for-age (WAZ)), and thinness (body mass index-for-age (BAZ)). Using STATA 17, 400 pairs of children (8 ± 6 months) and their mothers (29 ± 6 years) participated in the study and were living in a poor socio-economic status environment. Half of children were stunted (50%) and over half (54%) were obese, while mothers were underweight (39%) and overweight (34%). In addition to one third of mothers reporting obstetric complications, two thirds, initiated breastfeeding within one hour of delivery, 30% exclusively breastfed, 48% introduced early complementary feeding, and 70% practiced mixed feeding. Twenty-eight percent (28%) of mothers had fair nutrition-related knowledge, while 66% had average knowledge, 6% good knowledge, and none of the mothers had excellent knowledge. A chi-square test showed that mothers’ nutrition-related knowledge was significantly associated with child stunting. The final hierarchical logistic regression showed significant associations of stunting with mothers’ nutrition-related knowledge (average: AOR = 1.92, 95%CI: 1.12–3.29), child’s age (6–11 months: AOR = 2.63, 95%CI: 1.53–4.53 and 12–23 months: AOR = 3.19, 95%CI: 1.41–7.25), and education (completing Grade 12: AOR = 0.36, 95%CI: 0.15–0.86). Contextual and intensified interventions on continued education for mothers to gain accurate information on nutrition-related knowledge and feeding practices could ultimately enhance child nutrition outcomes in poorer settings. Efforts should therefore be made to ensure that nutrition knowledge is appropriately provided based on the phases of child growth from 0 to 2 years, even beyond infancy into school age. Full article

The new Ristić and Balakhrisnan or Gamma-Topp-Leone-Type II-Exponentiated Half Logistic-G (RB-TL-TII-EHL-G) family of distributions is introduced and investigated in this paper. This work derives and studies some of the main statistical characteristics of this new family of distributions. The maximum likelihood estimation technique is used to estimate the model parameters, and a simulation study is used to assess the consistency of the estimators. Applications to three real-life datasets from various fields show the value and adaptability of the new RB-TL-TII-EHL-G family of distributions. From our results, it is evident that the new proposed distribution is flexible enough to characterize datasets from different fields compared to several other existing distributions in the literature. Full article

For children and youth, the COVID-19 pandemic surfaced at a critical time in their development. Children have experienced extended disruptions to routines including in-person schooling, physical activities, and social interactions—things that bring meaning and structure to their daily lives. We estimated the prevalence of anxiety and depression symptoms of children and youth and their experiences of health-related quality of life (HRQoL), during the first year of the pandemic, and identified factors related to these outcomes. Further, we examined these effects among ethnocultural minority families. We conducted an online survey (March–July 2021) with 510 children and youth aged 8–18 years and their parents/caregivers. The sample was representative of the targeted population. We modelled the relationship between anxiety, depression (measured using the Revised Child Anxiety and Depression Scale), HRQoL (measured using KIDSCREEN-10), and sociodemographic, behavioural, and COVID-19-contributing factors using binary logistic regression. A priori-selected moderating effects of sociodemographic characteristics and self-identified ethnocultural minority groups on the outcomes were tested. The point-in-time prevalence of medium-to-high anxiety symptoms and depression symptoms was 10.19% and 9.26%, respectively. Almost half (49.15%) reported low-to-moderate HRQoL. Children reporting medium-to-high anxiety symptoms, depression symptoms, and low-to-moderate HRQoL were more likely to be aged 8–11 years, 16–18 years, ethnocultural minority participants, living in rural/urban areas, having good/fair MH before COVID-19, experiencing household conflicts, having less physical activity, and having ≥3 h of recreational screen time. Those who had more people living at home and ≥8 h of sleep reported low anxiety and depression symptoms. Ethnocultural minority 16–18-year-olds were more likely to report low-to-moderate HRQoL, compared to 12–15-year-olds. Additionally, 8–11-year-olds, 16–18-year-olds with immigrant parents, and 16–18-year-olds with Canadian-born parents were more likely to report low–moderate HRQoL, compared to 12–15-year-olds. Children and youth MH and HRQoL were impacted during the pandemic. Adverse MH outcomes were evident among ethnocultural minority families. Our results reveal the need to prioritize children’s MH and to build equity-driven, targeted interventions. Full article

Breakfast is often considered the most important meal of the day and can benefit adolescent health in several ways. The aims of the present study were (1) to identify adolescents’ socio-demographic (sex, family affluence and family structure) determinants of daily breakfast consumption (DBC) and (2) to describe trends in DBC among adolescents across 23 countries. Cross-sectional surveys of nationally representative samples of adolescents (aged 11, 13, and 15 years) (n = 589,737) participating in the Health Behaviour in School-aged Children (HBSC) survey from 2002 to 2018 were used. Multilevel logistic regression analyses modeled DBC over time, adjusted for family affluence, family structure and year of survey. Four countries showed an increased trend in DBC (the Netherlands, Macedonia, Slovenia, and England). A significant decrease in DBC was observed in 15 countries (Belgium-Fr, France, Germany, Croatia, Portugal, Spain, Hungary, Poland, Russian Federation, Ukraine, Denmark, Finland, Latvia, Lithuania and Sweden). In 4 countries no significant change was observed (Czech Republic, Scotland, Ireland and Norway). In most of the countries (n = 19), DBC was higher among the adolescents from high-affluence homes. In all the countries analysed, the adolescents living in two-parent households report higher DBC use than those in single-parent households. More than half of the countries showed a decrease in DBC. There is a need to implement key interventions by developing different strategies (education, incorporating educational curriculum and counselling programmes) to increase DBC. Comparing DBC patterns across HBSC countries is important for understanding regional and global trends, monitoring strategies, and developing health promotion programmes. Full article

In this paper, we present the half logistic inverted Nadarajah–Haghigh (HL-INH) distribution, a novel extension of the inverted Nadarajah–Haghigh (INH) distribution. The probability density function (PDF) for the HL-INH distribution might have a unimodal, right skewness, or heavy-tailed shape for numerous parameter values; however, the shape forms of the hazard rate function (HRF) for the HL-INH distribution may be decreasing. Four specific entropy measurements were investigated. Some useful expansions for the HL-INH distribution were investigated. Several statistical and computational features of the HL-INH distribution were calculated. Using simple (SRS) and ranked set sampling (RSS), the parameters for the HL-INH distribution were estimated using the maximum likelihood (ML) technique. A simulation analysis was executed in order to determine the model parameters of the HL-INH distribution using the SRS and RSS methods, and RSS was shown to be more efficient than SRS. We demonstrate that the HL-INH distribution is more adaptable than the INH distribution and other statistical distributions when utilizing three real-world datasets. Full article