Categories
Nevin Manimala Statistics

A comparative cross-sectional evaluation of the Field Epidemiology Training Program-Frontline in Ethiopia

BMC Public Health. 2022 May 10;22(1):931. doi: 10.1186/s12889-022-13326-2.

ABSTRACT

BACKGROUND: The Field Epidemiology Training Program (FETP)-Frontline is a three-month in-service training aimed at improving surveillance officers’ capacity to collect, analyze, and interpret surveillance data, and respond to health emergencies. We evaluated the effectiveness of the FETP-Frontline which was introduced in Ethiopia in 2016.

METHODS: We conducted a comparative, randomized cross-sectional study to assess surveillance-related knowledge, skills, and performance among trained and untrained officers using a structured questionnaire and observation checklist. We compared the knowledge, skills, and performance scores of trained and untrained officers using the Fisher’s Exact test, chi-square test, and t-test at p-value < 0.05 for statistical significance.

RESULTS: We conducted the study among 74 trained and 76 untrained surveillance officers. About three-quarters of all participants were male, and the average age was 34 (± 8.6) years. Completeness and timeliness of surveillance reports were significantly higher among trained than untrained surveillance officers. The trained officers were more likely to have produced epidemiologic bulletins (55% vs 33%), conducted active surveillance six months before the survey (88% vs 72%), provided surveillance training (88% vs 65%), conducted strengths, weakness, opportunities, and threats (SWOT) analysis (55% vs 17%), and utilized Microsoft Excel to manage surveillance data (87% vs 47%). We also observed improved surveillance officers’ perceived skills and knowledge, and the availability and quality of surveillance formats and reports among the trained group.

CONCLUSIONS: FETP-Frontline trained surveillance officers demonstrated better knowledge, skills, and performance in most surveillance activities compared to the untrained officers. FETP-Frontline can address competency gaps among district surveillance officers in Ethiopia and other countries. Scaling up the program to cover unreached districts can enable achieving the human resource development core capacity requirement of the International Health Regulations 2005.

PMID:35538530 | DOI:10.1186/s12889-022-13326-2

Categories
Nevin Manimala Statistics

Examination of influence of social media education through mobile phones on the change in physical activity and sedentary behavior in pregnant women: a randomized controlled trial

BMC Womens Health. 2022 May 10;22(1):152. doi: 10.1186/s12905-022-01725-x.

ABSTRACT

BACKGROUND: Nowadays because of some necessities and demands for virtual and remote education, a new model of health approach through mobile-phones is widely used to deal with improving physical activity and its beneficial effect on pregnancy. There are a small number of studies for showing this importance and the efficacy of such methods, so this study was aimed to determine the influence of social networking through mobile phones on changing the physical activity behavior in pregnant women.

METHODS: This randomized controlled trial was conducted with parallel groups on 90 pregnant women referring to Urmia health centers in 2018-2019. The participants from various social and economic backgrounds were included. The participants were randomly assigned to a control and a treatment group. Demographic and Pregnancy Physical Activity Questionnaire (PPAQ) questionnaires were filled. In addition to routine cares, the treatment group received educational intervention through social network within 16 training sessions related to physical activity and nutrition in 8 weeks.

RESULTS: The mean weight in both control and treatment groups changed significantly during the study, but in different trends (P < 0.001, Mean Difference (MD) = 4.43). At the beginning of the study, control and treatment groups were not different in terms of daily physical activity level (P = 0.17, MD = 0.62), meanwhile, there was a statistically significant difference at the end of intervention in the level of daily physical activity (P < 0.001, MD = 0.69). Comparison of both groups, based on different categories of activity level at the end of the treatment, showed a non-significant difference in sedentary activities (P = 0.89, MD = 0.46), but the intervention led to a significant difference based on the other level of activities; light (P < 0.001, MD = 51.94), moderate (P < 0.001, MD = 46.87), and sever (P = 0.05, MD = 1.07).

CONCLUSION: Educational intervention based on social networks through mobile phones had an effective role in behavior change in physical activity during pregnancy.

TRIAL REGISTRATION: IRCT20151004024340N15, Registration date05/06/2020.

PMID:35538523 | DOI:10.1186/s12905-022-01725-x

Categories
Nevin Manimala Statistics

A multilevel analysis of prevalence and factors associated with female child marriage in Nigeria using the 2018 Nigeria Demographic and Health Survey data

BMC Womens Health. 2022 May 11;22(1):158. doi: 10.1186/s12905-022-01733-x.

ABSTRACT

BACKGROUND: Globally, there has been a decline in female child marriage (FCM) from 1 in 4 girls married a decade ago to approximately 1 in 5 currently. However, this decline is not homogenous because some regions are still experiencing a high prevalence of FCM. As such, the United Nations reiterated the need for concentrated efforts towards ending FCM to avoid more than 120 million girls getting married before their eighteenth birthday by 2030. Following this, we examined the prevalence and factors associated with FCM in Nigeria using multi-level analysis.

METHODS: We used cross-sectional data from the women’s file of the Nigeria Demographic and Health Survey (NDHS) conducted in 2018. A sample of 4143 young women aged 20-24 was included in the study. Our analysis involved descriptive, chi-square (χ2) and multi-level analyses. Results were presented in percentages, frequencies, and adjusted odds ratios (aOR) with their respective confidence intervals (CIs).

RESULTS: The prevalence of FCM in 2018 was 65.30%. Young Muslim women aged 20-24 [aOR = 1.40; 95% CI (4.73-7.52)], those with parity between one and two [aOR = 5.96, 95% CI 4.73-7.52], those residing in North East [aOR = 1.55; 95% CI (1.19-2.10)] and North West [aOR = 1.59; 95% CI (1.18-2.16)] had a higher odd of practicing FCM respondents with secondary education and above [aOR = 0.36; 95% CI (0.29-0.46)], those within the richer wealth index [aOR = 0.35; 95% CI (0.23-0.54)] and young women living in communities with high literacy level [aOR = 0.74; 95% CI (0.59-0.92)] were less likely to get married before age 18 years.

CONCLUSION: Our findings indicate that FCM is high in Nigeria. Formal education, being rich and living in communities with high literacy levels were some protective factors that can be strengthened to ensure that FCM is reduced or eliminated in Nigeria. On the other hand, residing in North-East or North-West and having children between one and two were some prevailing factors that exacerbated the odds of experiencing FCM in Nigeria. Therefore, attention should be channelled towards mitigating these prevailing negative factors.

PMID:35538527 | DOI:10.1186/s12905-022-01733-x

Categories
Nevin Manimala Statistics

Evaluation of root canal morphology in permanent maxillary and mandibular anterior teeth in Saudi subpopulation using two classification systems: a CBCT study

BMC Oral Health. 2022 May 10;22(1):171. doi: 10.1186/s12903-022-02187-1.

ABSTRACT

BACKGROUND: Adequate knowledge of root canal morphology and possible variations is essential to achieve perfect root canal treatment and overcome treatment failure. Appropriate knowledge on root and canal morphology, communication, and documentation amongst dentists will be challenging from a diagnostic and successful treatment point of view.

METHODS: A total of 3420 samples were included in this study from 285 cone-beam computed tomography images of the Saudi residents, including 171 males and 114 females aged 15 to 68 years from retrospective data dated from January 2018 to April 2021. The images were examined in sagittal, axial and coronal views using a 3D version software 1.0.10.6388. The number of canal and canal morphology was recorded using Vertucci and the new classification system. The SPSS 26 was used to conduct the statistical analysis as descriptive statistics such as mean; standard deviation and frequency were calculated. The Chi-square test analysed the data with the significance level set at 0.05.

RESULTS: A total of 285 subjects participated in the study. Majority of the participants were Saudi nationals (80.7%), followed by Indian (7.4%), Pakistani (4.2%) and other nationalities. According to Vertucci and the new classification system, Type I and 1TN1 were the most common types, followed by Type III and Type IV, and then 1TN1-2-1 and 1TN1-2 in mandibular anteriors. The prevalence of canal variations in mandibular canine was higher in females than in males (P = 0.002). Maxillary laterals and mandibular anteriors showed the significant difference in the prevalence of root canal variation in relation to the ethnicity (P = 0.001) and age of the patients. Younger patients showed more variations than the older patients (P = 0.012, P = 0.023, P = 0.001, P = 0.001) in terms of maxillary laterals, mandibular central, laterals and canines, respectively.

CONCLUSION: Mandibular permanent anteriors showed a wide range of canal variations and canal complexity. Males and females did not demonstrate a wide range of variation in the root canal morphology except for the canines in relation to the gender of the patients.

PMID:35538514 | DOI:10.1186/s12903-022-02187-1

Categories
Nevin Manimala Statistics

Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020

BMC Res Notes. 2022 May 10;15(1):159. doi: 10.1186/s13104-022-06044-w.

ABSTRACT

OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various types of epidemiologic research, such as health inequality studies, ecological studies (mapping and time-trends), and multi-level analysis.

DATA DESCRIPTION: The database gathers official information obtained via open sources from the Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 139,153 observations and 26 attributes aggregated by years and policy-relevant geographic units on geocoding of municipality centroids, total population size, child population by age-group, birth and mortality measures, Brazilian Municipal Human Development Index, Gini coefficient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R.

PMID:35538501 | DOI:10.1186/s13104-022-06044-w

Categories
Nevin Manimala Statistics

Association between circulating vitamin E and ten common cancers: evidence from large-scale Mendelian randomization analysis and a longitudinal cohort study

BMC Med. 2022 May 11;20(1):168. doi: 10.1186/s12916-022-02366-5.

ABSTRACT

BACKGROUND: The association between vitamin E and cancer risk has been widely investigated by observational studies, but the findings remain inconclusive. Here, we aimed to evaluate the causal effect of circulating vitamin E on the risk of ten common cancers, including bladder, breast, colorectal, esophagus, lung, oral and pharynx, ovarian, pancreatic, prostate, and kidney cancer.

METHODS: A Mendelian randomization (MR) analytic framework was applied to data from a cancer-specific genome-wide association study (GWAS) comprising a total of 297,699 cancer cases and 304,736 controls of European ancestry. Three genetic instrumental variables associated with circulating vitamin E were selected. Summary statistic-based methods of inverse variance weighting (IVW) and likelihood-based approach, as well as the individual genotyping-based method of genetic risk score (GRS) were used. Multivariable IVW analysis was further performed to control for potential confounding effects. Furthermore, the UK Biobank cohort was used as external validation, supporting 355,543 European participants (incident cases ranged from 437 for ovarian cancer to 4882 for prostate cancer) for GRS-based estimation of circulating vitamin E, accompanied by a one-sample MR analysis of dietary vitamin E intake underlying the time-to-event analytic framework.

RESULTS: Specific to cancer GWAS, we found that circulating vitamin E was significantly associated with increased bladder cancer risk (odds ratios [OR]IVW = 6.23, PIVW = 3.05×10-3) but decreased breast cancer risk (ORIVW = 0.68, PIVW = 8.19×10-3); however, the significance of breast cancer was dampened (Pmultivariable IVW > 0.05) in the subsequent multivariable MR analysis. In the validation stage of the UK Biobank cohort, we did not replicate convincing causal effects of genetically predicted circulating vitamin E concentrations and dietary vitamin E intake on the risk of ten cancers.

CONCLUSIONS: This large-scale population study upon data from cancer-specific GWAS and a longitudinal biobank cohort indicates plausible non-causal associations between circulating vitamin E and ten common cancers in the European populations. Further studies regarding ancestral diversity are warranted to validate such causal associations.

PMID:35538486 | DOI:10.1186/s12916-022-02366-5

Categories
Nevin Manimala Statistics

Remote online global health education among U.S. medical students during COVID-19 and beyond

BMC Med Educ. 2022 May 10;22(1):353. doi: 10.1186/s12909-022-03434-3.

ABSTRACT

BACKGROUND: Due to the COVID-19 pandemic, the 2021 Harvard Medical School course Clinical Topics in Global Health was offered for the first time as a remote class. We sought to understand student and faculty perceptions of the elective and evaluate the perceived effectiveness of teaching global health using an online education platform.

METHODS: Following the course, students and faculty were invited to complete a combined total of three online surveys, which consisted of closed- and open-response questions assessing the strengths and challenges of online learning. Data analyses included traditional descriptive statistics, Net Promoter Score calculation, and inductive thematic analysis of qualitative data.

RESULTS: Thirty-two students and eighteen guest faculty (including four international faculty) participated in the course. Highly-rated course components included guest lecturers, practical skill sessions, polls, and case studies. The Net Promoter Score for the course was excellent at 92, and students reported a greater likelihood of pursuing a career in global health because of the course. While students and faculty highlighted limitations of the remote learning platform (lack of community and interactivity), they also commented on increased accessibility and faculty diversity. Most faculty and students recommended a hybrid model for future versions of the course and suggested strategies to address current limitations.

CONCLUSIONS: A remote learning platform can effectively deliver global health education, both in the pandemic setting and beyond.

PMID:35538485 | DOI:10.1186/s12909-022-03434-3

Categories
Nevin Manimala Statistics

Evaluating agreement between bodies of evidence from randomized controlled trials and cohort studies in medical research: a meta-epidemiological study

BMC Med. 2022 May 11;20(1):174. doi: 10.1186/s12916-022-02369-2.

ABSTRACT

BACKGROUND: Randomized controlled trials (RCTs) and cohort studies are the most common study design types used to assess the treatment effects of medical interventions. To evaluate the agreement of effect estimates between bodies of evidence (BoE) from randomized controlled trials (RCTs) and cohort studies and to identify factors associated with disagreement.

METHODS: Systematic reviews were published in the 13 medical journals with the highest impact factor identified through a MEDLINE search. BoE-pairs from RCTs and cohort studies with the same medical research question were included. We rated the similarity of PI/ECO (Population, Intervention/Exposure, Comparison, Outcome) between BoE from RCTs and cohort studies. The agreement of effect estimates across BoE was analyzed by pooling ratio of ratios (RoR) for binary outcomes and difference of mean differences for continuous outcomes. We performed subgroup analyses to explore factors associated with disagreements.

RESULTS: One hundred twenty-nine BoE pairs from 64 systematic reviews were included. PI/ECO-similarity degree was moderate: two BoE pairs were rated as “more or less identical”; 90 were rated as “similar but not identical” and 37 as only “broadly similar”. For binary outcomes, the pooled RoR was 1.04 (95% CI 0.97-1.11) with considerable statistical heterogeneity. For continuous outcomes, differences were small. In subgroup analyses, degree of PI/ECO-similarity, type of intervention, and type of outcome, the pooled RoR indicated that on average, differences between both BoE were small. Subgroup analysis by degree of PI/ECO-similarity revealed high statistical heterogeneity and wide prediction intervals across PI/ECO-dissimilar BoE pairs.

CONCLUSIONS: On average, the pooled effect estimates between RCTs and cohort studies did not differ. Statistical heterogeneity and wide prediction intervals were mainly driven by PI/ECO-dissimilarities (i.e., clinical heterogeneity) and cohort studies. The potential influence of risk of bias and certainty of the evidence on differences of effect estimates between RCTs and cohort studies needs to be explored in upcoming meta-epidemiological studies.

PMID:35538478 | DOI:10.1186/s12916-022-02369-2

Categories
Nevin Manimala Statistics

A multimodal analytical method to simultaneously determine monoacetyldiacylglycerols, medium and long chain triglycerides in biological samples during routine lipidomics

Lipids Health Dis. 2022 May 10;21(1):42. doi: 10.1186/s12944-022-01650-w.

ABSTRACT

BACKGROUND: Monoacetyldiglycerides (MAcDG), are acetylated triglycerides (TG) and an emerging class of bioactive or functional lipid with promising nutritional, medical, and industrial applications. A major challenge exists when analyzing MAcDG from other subclasses of TG in biological matrices, limiting knowledge on their applications and metabolism.

METHODS: Herein a multimodal analytical method for resolution, identification, and quantitation of MAcDG in biological samples was demonstrated based on thin layer chromatography-flame ionization detection complimentary with C30-reversed phase liquid chromatography-high resolution accurate mass tandem mass spectrometry. This method was then applied to determine the MAcDG molecular species composition and quantity in E. solidaginis larvae. The statistical method for analysis of TG subclass composition and molecular species composition of E. solidaginis larvae was one-way analysis of variance (ANOVA).

RESULTS: The findings suggest that the proposed analytical method could simultaneously provide a fast, accurate, sensitive, high throughput analysis of MAcDG from other TG subclasses, including the fatty acids, isomers, and molecular species composition.

CONCLUSION: This method would allow for MAcDG to be included during routine lipidomics analysis of biological samples and will have broad interests and applications in the scientific community in areas such as nutrition, climate change, medicine and biofuel innovations.

PMID:35538477 | DOI:10.1186/s12944-022-01650-w

Categories
Nevin Manimala Statistics

Development and validation of a prediction model of perioperative hypoglycemia risk in patients with type 2 diabetes undergoing elective surgery

BMC Surg. 2022 May 10;22(1):167. doi: 10.1186/s12893-022-01601-3.

ABSTRACT

AIM: To develop and validate a prediction model to evaluate the perioperative hypoglycemia risk in hospitalized type 2 diabetes mellitus (T2DM) patients undergoing elective surgery.

METHODS: We retrospectively analyzed the electronic medical records of 1410 T2DM patients who had been hospitalized and undergone elective surgery. Regression analysis was used to develop a predictive model for perioperative hypoglycemia risk. The receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow test were used to verify the model.

RESULTS: Our study showed an incidence of 10.7% for level 1 hypoglycemia and 1.8% for level 2 severe hypoglycemia during the perioperative period. A perioperative hypoglycemic risk prediction model was developed that was mainly composed of four predictors: duration of diabetes ≥ 10 year, body mass index (BMI) < 18.5 kg/m2, standard deviation of blood glucose (SDBG) ≥ 3.0 mmol/L, and preoperative hypoglycemic regimen of insulin subcutaneous. Based on this model, patients were categorized into three groups: low, medium, and high risk. Internal validation of the prediction model showed high discrimination (ROC statistic = 0.715) and good calibration (no significant differences between predicted and observed risk: Pearson χ2 goodness-of-fit P = 0.765).

CONCLUSIONS: The perioperative hypoglycemic risk prediction model categorizes the risk of hypoglycemia using only four predictors and shows good reliability and validity. The model serves as a favorable tool for clinicians to predict hypoglycemic risk and guide future interventions to reduce hypoglycemia risk.

PMID:35538461 | DOI:10.1186/s12893-022-01601-3