Mapping 123 million neonatal, infant and child deaths between 2000 and 2017.

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.

Behavioral and physiological pain structures of PIPP-R and parental stress: structural equation modeling approach.

BACKGROUND: Although most non-acute pain assessment tools are multi-dimensional (behavioral and physiological measures) in their approach, the outputs of such tools are considered unidimensional. This study aimed to explore and determine the behavioral and physiological pain structures of Premature Infant Pain Profile-Revised (PIPP-R) for neonates and its association with parental stress. METHODS: This cross-sectional study was conducted in 2022-2023 in Isfahan, Iran. We recruited 400 pre-term infants, i.e. with gestational age (GA) of less than 37weeks who were admitted to the NICU of educational hospitals. PIPP-R and Parental Stressor Scale: Neonatal Intensive Care Unit (PSS: NICU) were used for data gathering. The latent structures of pain and its association with parental stress were explored using latent variable modeling approach. RESULTS: A two-factor model, i.e. behavioral and physiological pain factors, was extracted, explaining 65% of the total variance. The results of confirmatory factor analysis showed that the identified structures in the exploratory factor analysis could be nearly replicated (CFI = 0.99، TLI = 0.98, RMSEA = 0.001). Behavioral pain structure, independent from gestational age had a significant direct association with parental stress score (ß = 0.005, SE = 0.002, p = 0.026). CONCLUSIONS: The PIPP-R assesses both behavioral and physiological pain factors. We also found that behavioral pain factor was associated with parental stress. IMPACT: These results may provide a potential clue for physicians, nurses, and parents to manage the pain in preterm infant. The PIPP-R scores in preterm infants consist of "Behavioral and Physiological" pain factors. Single dependence on behavioral indicators (such as facial expression) has some limitations. Multidimensional tools may be the optimal method in detecting pain in preterm infants. Parental stress can affect behavioral pain structure in preterm infants. Intensive care nurses play an effective role in reducing the parental stress and pain severity of these preterm infants by including the help of mothers in procedures and providing them with psychological support.

Additive interaction between dietary inflammatory index and some key risk factors of multiple sclerosis: a population-based incident case-control study.

BACKGROUND: Recently, dietary inflammatory index (DII) has been introduced as a significant risk factor for MS. We examined the interaction between dietary inflammatory index and some formerly demonstrated key risk factors of multiple sclerosis (MS). MATERIAL AND METHODS: We conducted a population-based incident case-control study of 547 MS cases and 1057 controls. Multiplicative and additive interaction were assessed using interaction term in the logistic regression model and synergy index (SI), respectively. RESULTS: Additive interaction was detected between DII and drug abuse (SI = 2.58; 95% CI: 1.14-5.82), gender (SI = 2.00; 95% CI: 1.39-2.87) and history of depression (SI = 1.68; 95% CI: 1.04-2.72) on the risk scale. The risk of MS in drug abusers with DII ≥ 0 was 10.4-times higher than that in non-drug abusers with DII < 0 (OR = 10.4, 95% CI: 5.12-21.02, P < 0.001). We also found that women with DII ≥ 0 had a 9.2 times larger risk compared with the men with DII < 0(OR = 9.2, 95% CI: 6.3-13.5, P < 0.001). Similarly, the risk of MS was remarkably higher in those with a history of depression and DII >0 (OR = 7.6, 95% CI: 5.1-11.5, P < 0.001). There was no evidence of multiplicative interaction between DII and the other risk factors of MS on the risk scale. CONCLUSIONS: We identified additive interaction between DII and drug abuse, gender and history of depression on MS. Further studies are needed to understand the underlying mechanisms of these detected interactions.

Utilization of dental care among adult populations: a scoping review of applied models.

BACKGROUND: The timely and appropriate utilization of dental health care is essential to the prevention and accurate treatment of oral diseases. Therefore, it is crucial that managers, health professionals and healthcare providers be fully aware of the predictors encouraging the utilization of dental services and reduce social inequalities. In this scoping review, we aimed to analyze the published articles and reports to find out the factors associated with dental services utilization and the comprehensiveness of the applied models among general adult populations. MATERIALS AND METHODS: This scoping study was based on the 5-steps of Arksey and O'Malley framework. Keywords were selected under two main concepts: determinants of dental care utilization and the concept of the applied models. Searches were conducted in some electronic databses including PubMed, Google Scholar and Scopus with variations, and a combination of the keywords under the two main afore-mentioned concepts. All the relevant articles reporting the utilization of dental care and its potential predictors among adult populations were chosen. No restrictions involving terms of study time, location or methodological aspects of oral health utilization were considered. Using tables and charts mapping, we tried to group the studies based on the year of their publication, geographic distribution, the range of included indices and the type of their measurement. Also, a directed content analysis method was used to investigate the comprehensiveness of the studies in regard to considering the determinant factors at different levels suggested by the Andesen model. RESULTS: Fifty-two articles were included in the analysis. Thirty-six (69%) had been published between 2016 and 2020. The United States had conducted the most research in this scope. About 30% of studies had mentioned all three domains of demographics, social structure and beliefs, simultaneously. To evaluate the enabling factors, in 84.61% and 59.61% of studies, the income levels and insurance feature were assessed, respectively. 57.69% of the retrieved studies considered the perceived need features and 38.46% referred to the evaluated ones. The dental services utilization, in terms of the last visit during the "past 12 months", was assessed more commonly. Only 11.54% of studies did evaluate the contextual characteristics and about 71.15% of articles were relatively comprehensive. CONCLUSION: Overall, it seems that in most of the studies, not all of the determinant factors at different levels of the Andersen model have been considered. In order to discover the conceptual linkages and feedback loops of the model, it is essential to conduct more comprehensive research in the future.

The role of dietary antioxidant index and index of nutritional quality in MS onset: finding from an Iranian population-based incident case-control study.

METHODS: This was a large population-based case-control study recruiting 547 incident cases and 1057 population controls between August 2013 and February 2015. DAI and INQ were calculated based on the adolescence dietary intake of the participants. Logistic regression was employed for estimating adjusted odds ratios (OR) and their 95% confidence interval in 2018. RESULTS: Participants with less than median DAI values had two-fold increased risk of MS onset (adjusted OR 2.05, 95% CI: 1.64-2.58, P < 0.001). A significant dose-response pattern for DAI (adjusted OR 1.35, 95% CI: 1.18-1.55, P for trend <0.001) was also detected. In the case of INQ, the strongest decreased risk were detected for vitamin D (OR = 0.09) and Zinc (OR = 0.34), followed by vitamin A (OR = 0.49), Calcium (OR = 0.49) and vitamin B6 (OR = 0.51) (All P-values < 0.05). CONCLUSION: Considering the inherent limitation of case-control designs, an appropriate intake of nutrient antioxidants may have a role in decreasing the likelihood of MS risk. Moreover, those with healthier diet assessed by index of nutritional quality were at decreased risk for MS.

Estimating the Marginal Causal Effect and Potential Impact of Waterpipe Smoking on Risk of Multiple Sclerosis Using the Targeted Maximum Likelihood Estimation Method: A Large, Population-Based Incident Case-Control Study.

There are few if any reports regarding the role of lifetime waterpipe smoking in the etiology of multiple sclerosis (MS). In a population-based incident case-control study conducted in Tehran, Iran, we investigated the association between waterpipe smoking and MS, adjusted for confounders. Cases (n = 547) were patients aged 15-50 years identified from the Iranian Multiple Sclerosis Society between 2013 and 2015. Population-based controls (n = 1,057) were persons aged 15-50 years recruited through random digit telephone dialing. A doubly robust estimation method, the targeted maximum likelihood estimator (TMLE), was used to estimate the marginal risk ratio and odds ratio for the association between waterpipe smoking and MS. The estimated risk ratio and odds ratio were both 1.70 (95% confidence interval: 1.34, 2.17). The population attributable fraction was 21.4% (95% confidence interval: 4.0, 38.8). Subject to the limitations of case-control studies in interpreting associations causally, these results suggest that waterpipe use, or strongly related but undetermined factors, increases the risk of MS. Further epidemiologic studies, including nested case-control studies, are needed to confirm these findings.

The role of nutritional factors during adolescence in multiple sclerosis onset: a population-based incident case-control study.

OBJECTIVE: The potential role of nutritional factors in multiple sclerosis (MS) etiology is not clearly understood. The authors investigated the association between dietary intake during adolescence with MS. DESIGN, SETTING AND PARTICIPANTS: This was a population-based incident case-control study in Iran with 547 incident cases and 1057 general population controls (7/8/2013-17/2/2015). Logistic regression was used to test differences in dietary intake between cases and controls adjusted for confounders. RESULTS: We found that a higher dietary consumption during adolescence of fresh fish, canned tuna, poultry, cheese, yogurt, butter, fruit, vegetables and a number of dietary supplements were associated with a significantly reduced risk of MS, while red meat, shrimp, and margarine were not associated with MS. Fresh fish had a dose-response association of 0.71 (0.58-0.88) per category increase, and consuming >0.5 serves of canned tuna fish per week had an OR of 0.72 (0.56-0.90); fruit intake had an OR of 0.82 (0.71-0.94) per category increase and cheese consumption an OR of 0.78 (0.67-0.91) per category increase. CONCLUSIONS: We identified that a higher intake of a number of food groups generally viewed as healthy were associated with a reduced risk of MS. A healthier diet during adolescence may be protective of developing MS.

The value of thoracic computed tomography scan comparing to reverse transcription-polymerase chain reaction for the diagnosis of COVID-19.

BACKGROUND: Novel coronavirus disease of 2019 (COVID-19) is the current pandemic causing massive morbidity and mortality worldwide. The gold standard diagnostic method in use is reverse transcription-polymerase chain reaction (RT-PCR) which cannot be solely relied upon. Computed tomography (CT) scan is a method currently used for diagnosis of lung disease and can play a substantial role if proved helpful in COVID-19 diagnosis. We conducted this study to evaluate the diagnostic value of CT scan compared to RT-PCR in the diagnosis of COVID-19. MATERIALS AND METHODS: We recruited 291 hospitalized patients suspicious of COVID-19 according to typical clinical findings during February-March 2020. The patients underwent CT-scan and RT-PCR procedures on the day of hospital admission. CT scans were reported by two radiologists as typical, indeterminate, negative, and atypical. Statistical indices were calculated twice: once considering "typical" and "indeterminate" categories as positive and the other time counting "typical" results as positive. RESULTS: The CT reports were classified as typical (64.95%), indeterminate (10.31%), atypical (11%), and negative (13.75%). Considering "typical" and "intermediate" as positive, sensitivity and specificity were 85.3% and 38.8%, respectively, and using the second assumption, the mentioned indices were 75.9% and 50.4%, respectively. CONCLUSION: According to our study, CT results do not create enough diagnostic benefit and could result in incorrect confidence if negative. Since widely available, CT integration in the clinical process may be helpful in screening of suspected patients in epidemics. Yet, suspected patients should be isolated till confirmed by (multiple) PCRs.

Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017.

BACKGROUND: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. METHODS: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). FINDINGS: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). INTERPRETATION: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.

Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.

BACKGROUND: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. METHODS: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. RESULTS: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. CONCLUSIONS: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.