Category: Statistics

BMC Oral Health. 2024 Jul 10;24(1):774. doi: 10.1186/s12903-024-04555-5.

ABSTRACT

BACKGROUND: Dental caries (decay or cavities) is the breakdown of teeth as a result of bacteria. Dental caries is one of the most preventable oral health problems and the most common chronic disease in primary school children. Poor dental and oral health affects the quality of children’s lives.

OBJECTIVES: The study aimed to synthesize the existing literature on the prevalence and associated factors of dental caries among primary school children in Ethiopia in 2024.

METHODOLOGY: Studies were searched through the search engines of Google Scholar, PubMed, Scopus, MEDLINE, and the Cochrane Library. Searching was made using keywords and MeSH terms for dental caries, dental plaque, primary school children, and Ethiopia. Heterogeneity was assessed using the Cochran Q test and I2 statistics. A random-effects model with a 95% confidence interval was used for prevalence and odds ratio estimations.

RESULT: The result of seven studies disclosed that the overall prevalence of dental caries in primary school children in Ethiopia was 35% (26-45%). high intake of sweets (OR = 2.71,95%CI:1.968-3.451), a poor habit of tooth cleaning (OR = 2.46; 95% CI: 2.761-5.045), Grade level 1-4(OR = 2.46; 95% CI: 1.523-3.397), having a history of toothache(OR = 2.99; 95% CI: 2.679-3.314), absence of toothpaste use(OR = 1.42; 95% CI: -1.278-4.109), reduction of the previous year’s academic score(OR = 5.51; 95% CI: 1.952-9.066), had a significant microbial load(OR = 3.82, CI: 3.439-4.192) and have acid bacillary pH on their teeth(OR = 2.42, CI: 1.494-3.335) were independent variables associated with dental carries among primary school children.

CONCLUSION: The overall prevalence of dental caries among primary school children in Ethiopia is 35%, ranging from 26 to 45%. However, variations in prevalence rates are observed based on sampling techniques. Studies using simple random sampling report a higher prevalence rate of 42%, while those employing multi-stage random sampling and systematic random sampling show lower rates of 30% and 35%, respectively. This indicates that the choice of sampling technique can impact reported prevalence rates, with simple random sampling yielding higher estimates compared to other methods.

PMID:38987729 | DOI:10.1186/s12903-024-04555-5

BMC Oral Health. 2024 Jul 10;24(1):771. doi: 10.1186/s12903-024-04526-w.

ABSTRACT

BACKGROUND: Traumatic dental injury (TDI) is a growing public health concern worldwide, and children and adolescents are commonly affected. Because TDI often occurs at school, the response of teachers to these injuries is crucial. However, teachers in various countries have been shown to lack knowledge of effective TDI first-aid response and need an intervention to improve their knowledge. The aim of the study presented here was to ascertain and analyze teachers’ knowledge of and attitude about TDI in Mongolia.

MATERIALS AND METHODS: A cross-sectional study of full-time teachers in Mongolia was performed using an online questionnaire (compiled from relevant studies) from September 2022 to December 2022. The questionnaire consists of 47 items and among them 14 were used to assess the teacher’s knowledge, and 5 were for attitude towards TDI. The maximum possible score was 14 points and grouped as follows good, moderate, and poor. T-test, ANOVA test (post-hoc) and linear regression analysis were performed.

RESULTS: The online survey provided quantitative data from 2821 participants: 28% were elementary school teachers, 29% middle school teachers, and 42% high school teachers. Their mean age was 36.7 ± 9 years, and 2433 (86%) were female. The mean score of the TDI knowledge of the teachers was 5.3 ± 2.1 out of 14. The ANOVA test showed that older (p < 0.01) and more experienced teachers (p < 0.01) had higher scores. Teachers in the eastern (5.46 ± 2.2) and southern (5.49 ± 2.2) provinces had higher mean scores than in the other provinces (p < 0.02). Teachers majored in natural sciences (5.4 ± 2.2) had a higher score than those in the social sciences (5.2 ± 2.1) and difference were significant (p < 0.02). The multiple regression model statistically significantly predicted a one-year increase in experience, the TDI score increased 0.034 (95% CI 0.026, 0.043) unit.

CONCLUSIONS: The knowledge regarding TDI and effective first-aid response to such injury is low in teachers in Mongolia. However, the teachers’ attitude about TDI was positive and they wanted to learn and improve their knowledge. Therefore, further education and training programs are advised.

PMID:38987725 | DOI:10.1186/s12903-024-04526-w

BMC Med Res Methodol. 2024 Jul 10;24(1):146. doi: 10.1186/s12874-024-02268-5.

ABSTRACT

BACKGROUND: Risk prediction models are routinely used to assist in clinical decision making. A small sample size for model development can compromise model performance when the model is applied to new patients. For binary outcomes, the calibration slope (CS) and the mean absolute prediction error (MAPE) are two key measures on which sample size calculations for the development of risk models have been based. CS quantifies the degree of model overfitting while MAPE assesses the accuracy of individual predictions.

METHODS: Recently, two formulae were proposed to calculate the sample size required, given anticipated features of the development data such as the outcome prevalence and c-statistic, to ensure that the expectation of the CS and MAPE (over repeated samples) in models fitted using MLE will meet prespecified target values. In this article, we use a simulation study to evaluate the performance of these formulae.

RESULTS: We found that both formulae work reasonably well when the anticipated model strength is not too high (c-statistic < 0.8), regardless of the outcome prevalence. However, for higher model strengths the CS formula underestimates the sample size substantially. For example, for c-statistic = 0.85 and 0.9, the sample size needed to be increased by at least 50% and 100%, respectively, to meet the target expected CS. On the other hand, the MAPE formula tends to overestimate the sample size for high model strengths. These conclusions were more pronounced for higher prevalence than for lower prevalence. Similar results were drawn when the outcome was time to event with censoring. Given these findings, we propose a simulation-based approach, implemented in the new R package ‘samplesizedev’, to correctly estimate the sample size even for high model strengths. The software can also calculate the variability in CS and MAPE, thus allowing for assessment of model stability.

CONCLUSIONS: The calibration and MAPE formulae suggest sample sizes that are generally appropriate for use when the model strength is not too high. However, they tend to be biased for higher model strengths, which are not uncommon in clinical risk prediction studies. On those occasions, our proposed adjustments to the sample size calculations will be relevant.

PMID:38987715 | DOI:10.1186/s12874-024-02268-5

S D Med. 2024 Jan;77(1):6-23.

ABSTRACT

In 2022, there was a decrease in births in the state with 111 fewer resident newborns than in the previous year. This represented a decrease of 1% of its white and 3.5% of its AIBO (American Indian, Black and Other) births. The 2022 birth rate per 1,000 population for the state (12.3) is higher than observed nationally (10.9) but matches its 2020 rate that was an historic low. Approximately 22% of all births in 2022 were AIBO and this percent of the state’s entire birth cohort has decreased in the past several years. The American Indian contribution to the AIBO cohort has also decreased as its racial diversity has increased. The percent of births that are low birth weight has consistently been lower in South Dakota than nationally. An increase of 16 infant deaths in 2022 from 2021 and the decreased number of births led to an increase in the infant mortality rate (IMR = deaths in first year of life per 1,000 live births) from 6.3 to 7.8, but this 2022 IMR is not statistically significantly higher than its previous five-year mean. Further, the 2022 increase in the IMR was almost entirely among white infants with the post neonatal mortality rate (PNMR = deaths between 28 and 365 days of life) decreasing between these two years for AIBO infants. Nonetheless, the state’s five year mean rates of death (2018-2022) are significantly higher for the AIBO than white infants for the neonatal (0-27 days) and post neonatal periods of the first year of life. Recently, however, the ratio of AIBO to white post neonatal mortality rate (PNMR) has decreased, but increased for the neonatal mortality rate (NMR). Infants in South Dakota are significantly more likely between 2018 and 2022 to die of congenital anomalies, sudden unexpected infant death (SUID), and accidents/homicides than in the United States in 2021. SUID remains the leading cause of post neonatal death and its risk may be decreased when babies are placed to sleep supine and alone in environments that are devoid of soft hazards.

PMID:38986144

S D Med. 2024 Jan;77(1):3.

NO ABSTRACT

PMID:38986143

Adv Neonatal Care. 2024 Jul 10. doi: 10.1097/ANC.0000000000001183. Online ahead of print.

ABSTRACT

BACKGROUND: Necrotizing enterocolitis (NEC) is common in preterm infants, especially infants less than 32 weeks gestation. Mortality from NEC is 7% and occurs in 1 out of 1000 preterm infants. Studies have shown the efficacy of an exclusive milk from mother diet in decreasing rates of NEC and associated mortality.

PURPOSE: To evaluate the effectiveness of an existing exclusive human milk diet (EHMD) protocol on the incidence of NEC in extremely premature infants. EHMD, for the purposes of this project is defined as breast milk of mother, with or without human milk-based fortifier.

METHODS: A single-center retrospective quasi-experimental study. The sample included 201 infants born less than 32 weeks gestation, weighing less than 1250 grams, small for gestational age (SGA) and with low Apgar scores. Outcomes measured included incidences of NEC, mortality, and co-morbidities in infants pre- and postinitiation of an EHMD protocol.

RESULTS: Just 4.8% of the EHMD group had a NEC diagnosis compared to 10.5% of the bovine-based (BOV) group. There was a 1% mortality rate of the EHMD group as compared to 6% in the BOV group. The EHMD group had a statistically significant greater weight gain during hospitalization as compared to infants fed BOV (P = < .05).

IMPLICATIONS FOR PRACTICE AND RESEARCH: Neonatal intensive care units should consider EHMDs for use in this infant population. Future research is needed to support dissemination of the use of EHMD as standard of practice.

PMID:38986129 | DOI:10.1097/ANC.0000000000001183

J Med Internet Res. 2024 Jul 10;26:e49422. doi: 10.2196/49422.

ABSTRACT

BACKGROUND: Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people’s trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members-strangers trust gap and the family members-acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic.

OBJECTIVE: This study aims to investigate the relationships between digital media use, negative emotions, the family members-strangers trust gap, and the family members-acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions.

METHODS: A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects.

RESULTS: Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members-strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members-acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members-strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members-acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027).

CONCLUSIONS: The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.

PMID:38986127 | DOI:10.2196/49422

S D Med. 2023 Dec;76(12):534-541.

ABSTRACT

Substance use remains a critical concern in youth, necessitating early educational interventions to encourage informed decision-making. This study aimed to evaluate the effectiveness of a pilot health promotion and substance use prevention curriculum introduced at the third-grade level. Third-grade students from nine schools in South Dakota and Minnesota participated, with the curriculum’s efficacy assessed via pre- and post-curriculum surveys evaluating students’ knowledge of content included in the curriculum. Mean student age was 8.5 years old and average class size was 20 students. Results showed an increased understanding of basic substance use disorder concepts, an improved ability to identify different parts of the brain and identify harmful effects of substance use on the brain and body, and increased awareness of fentanyl as a dangerous substance. The differences between the pre-curriculum and post-curriculum were statistically significant, indicating learned concepts from the provided course content. This study highlights that a well-structured curriculum can bolster third graders’ understanding about personal health, brain functions, safe medication use, and the potential harms from substance use.

PMID:38986118

Med Sci (Paris). 2024 Jun-Jul;40(6-7):563-565. doi: 10.1051/medsci/2024070. Epub 2024 Jul 8.

ABSTRACT

Many human DNA sequences have been obtained from ancient remains dating back from several millennia. However, these have low coverage and may contain many errors; this has limited their usefulness for many analyses, in particular the search for Identical By Descent (IBD) segments that is very powerful for detection of kinship. A new method, using imputation from database data and sophisticated statistical analysis, proves able to detect IBD segments (and thus parenthood) in low-quality DNA sequences from individuals linked only by sixth degree parenthood, opening a whole new field of investigation using ancient DNA.

PMID:38986104 | DOI:10.1051/medsci/2024070