Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.

METHODS

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.

FINDINGS

The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.

INTERPRETATION

Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere.

FUNDING

Bill & Melinda Gates Foundation.

Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios.

METHODS

To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values-a metric assessing gain in forecasting accuracy-by comparing predicted versus observed ASFRs from the past 15 years (2007-21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline.

FINDINGS

During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63-5·06) to 2·23 (2·09-2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137-147), declining to 129 million (121-138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1-canonically considered replacement-level fertility-in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7-29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59-2·08) in 2050 and 1·59 (1·25-1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6-43·1) in 2050 and 54·3% (47·1-59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions-decreasing, for example, in south Asia from 24·8% (23·7-25·8) in 2021 to 16·7% (14·3-19·1) in 2050 and 7·1% (4·4-10·1) in 2100-but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40-1·92) in 2050 and 1·62 (1·35-1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction.

INTERPRETATION

Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world.

FUNDING

Bill & Melinda Gates Foundation.

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021.

METHODS

The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws.

FINDINGS

Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP).

INTERPRETATION

Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions.

FUNDING

Bill & Melinda Gates Foundation.

Deformed graphene FET biosensor on textured glass coupled with dielectrophoretic trapping for ultrasensitive detection of GFAP

Numerous efforts have been undertaken to mitigate the Debye screening effect of FET biosensors for achieving higher sensitivity. There are few reports that show sub-femtomolar detection of biomolecules by FET mechanisms but they either suffer from significant background noise or lack robust control. In this aspect, deformed/crumpled graphene has been recently deployed by other researchers for various biomolecule detection like DNA, COVID-19 spike proteins and immunity markers like IL-6 at sub-femtomolar levels. However, the chemical vapor deposition (CVD) approach for graphene fabrication suffers from various surface contamination while the transfer process induces structural defects. In this paper, an alternative fabrication methodology has been proposed where glass substrate has been initially texturized by wet chemical etching through the sacrificial layer of synthesized silver nanoparticles, obtained by annealing of thin silver films leading to solid state dewetting. Graphene has been subsequently deposited by thermal reduction technique from graphene oxide solution. The resulting deformed graphene structure exhibits higher sensor response towards glial fibrillary acidic protein (GFAP) detection with respect to flat graphene owing to the combined effect of reduced Debye screening and higher surface area for receptor immobilization. Additionally, another interesting aspect of the reported work lies in the biomolecule capture by dielectrophoretic (DEP) transport on the crests of the convex surfaces of graphene in a coplanar gated topology structure which has resulted in 10 aM and 28 aM detection limits of GFAP in buffer and undiluted plasma respectively, within 15 min of application of analyte. The detection limit in buffer is almost four decades lower than that documented for GFAP using biosensors which is is expected to pave way for advancing graphene FET based sensors towards ultrasensitive point-of-care diagnosis of GFAP, a biomarker for traumatic brain injury.

Emergence of Long-Range Angular Correlations in Low-Multiplicity Proton-Proton Collisions

This Letter presents the measurement of near-side associated per-trigger yields, denoted ridge yields, from the analysis of angular correlations of charged hadrons in proton-proton collisions at sqrt[s]=13  TeV. Long-range ridge yields are extracted for pairs of charged particles with a pseudorapidity difference of 1.4<|Δη|<1.8 and a transverse momentum of 1 Collapse

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First Measurement of the |t| Dependence of Incoherent J/ψ Photonuclear Production

The first measurement of the cross section for incoherent photonuclear production of J/ψ vector mesons as a function of the Mandelstam |t| variable is presented. The measurement was carried out with the ALICE detector at midrapidity, |y|<0.8, using ultraperipheral collisions of Pb nuclei at a center-of-mass energy per nucleon pair of sqrt[s_{NN}]=5.02  TeV. This rapidity interval corresponds to a Bjorken-x range (0.3-1.4)×10^{-3}. Cross sections are given in five |t| intervals in the range 0.04<|t|<1  GeV^{2} and compared to the predictions by different models. Models that ignore quantum fluctuations of the gluon density in the colliding hadron predict a |t| dependence of the cross section much steeper than in data. The inclusion of such fluctuations in the same models provides a better description of the data.

Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.

METHODS

We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.

FINDINGS

Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.

INTERPRETATION

As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed.

FUNDING

Bill & Melinda Gates Foundation.

Socioeconomic and geographical inequalities in delivery by cesarean section among women in Bangladesh, 2004-2017

BACKGROUND

There is a dearth of evidence on the trends and inequalities in utilizing cesarean section (CS) among women in Bangladesh. Hence, this study aimed to estimate the socioeconomic and geographical inequalities in delivery by CS among Bangladeshi women from 2004 to 2017.

METHODS

Data from Bangladesh Demographic and Health Survey 2004, 2007, 2011, 2014, and 2017 were analyzed using the WHO's Health Equity Assessment Toolkit (HEAT) software. Inequalities were measured using four summary measures: Difference (D), Population Attributable Risk (PAR), Population Attributable Fraction (PAF), and Ratio (R). Socioeconomic inequalities were assessed using two equity dimensions: household wealth status, and level of education, while geographical disparities were measured using two equity dimensions: place of residence, and sub-national regions. For each measure, point estimates and their 95% confidence intervals were reported.

RESULTS

An increasing trend in the prevalence (weighted) of CS in Bangladesh use was found from 4.50% in 2004 to 32.73% in 2017 We found significant socioeconomic inequalities in CS in every survey point, with a higher concentration of CS among the rich (in 2017, PAR = 28.57; 95% CI: 26.69-30.46) indicating a pro-rich inequality, and higher educated (in 2017, PAF = 23.97; 95% CI: 12.26-35.68) sub-groups. We also identified significant geographical disparities in CS with a higher concentration of CS among people from urban areas (in 2017, PAR = 10.99; 95% CI: 10.19-11.79), and a coastal region (Khulna division) (in 2017, PAF: 30.48 (95% CI: 18.66-42.30).

CONCLUSION

We observed both socioeconomic and geographical inequalities in CS exist in Bangladesh, though the trends of these inequalities were curved over time. Thus, it is important to comprehend these pro-rich and geographical inequalities better and implement appropriate interventions and policies to alleviate them.

Measurement of energy and directional distribution of neutron ambient dose equivalent for the 7Li(p,n)7Be reaction

Double differential neutron fluence distributions were measured in the 7Li(p,n)7Be reaction for proton beam energies 7, 9 and 12 MeV. Seven liquid scintillator based detectors were employed to measure neutron fluence distributions using the Time of Flight technique. Neutron ambient dose equivalents were determined from the measured fluence distribution using ICRP (International Commission on Radiological Protection) recommended fluence to dose equivalent conversion coefficients. Neutron dose equivalents were also measured using a conventional BF3 detector based REM counter. Ambient dose equivalent measured by the REM counter is found to be in agreement with that determined from the neutron fluence spectra within their uncertainties. Angular distributions of the ambient dose equivalents were also determined from the measured fluence distributions at different angles.

ψ(2S) Suppression in Pb-Pb Collisions at the LHC

The production of the ψ(2S) charmonium state was measured with ALICE in Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV, in the dimuon decay channel. A significant signal was observed for the first time at LHC energies down to zero transverse momentum, at forward rapidity (2.5 Collapse

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Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6-23 months in South Asia: a decomposition analysis

OBJECTIVE

This study aimed to determine the factors associated with minimum dietary diversity (MDD) and estimate the socioeconomic inequalities in MDD among children from five South Asian countries.

DESIGN

Cross-sectional.

SETTING

The study used the most recent round of secondary databases of Demographic Health Survey data of Bangladesh (2017-2018), India (2019-2021), Maldives (2016-2017), Nepal (2018) and Pakistan (2017-2018).

PARTICIPANTS

This study used information on MDD and other explanatory variables from a total of 136 980 (weighted) children aged 6-23 months.

METHODS

Multivariable logistic regression was employed to identify the factors associated with MDD and concentration index (CIX) and Lorenz curve were used to measure the socioeconomic inequalities in MDD.

RESULTS

The overall weighted prevalence of MDD in South Asia was 23.37%. The highest prevalence of MDD was found among children from Maldives (70.7%), while the lowest was in Pakistan (14.2%). Living in affluent versus poor households, having a mother who is employed versus a mother who is unemployed, exposure to various forms of media (newspapers and magazines), seeking antenatal care (ANC) more than four times compared with those who sought ANC less than four times and having children older than 4 years old are the most common significant factors associated with MDD deficiency. This study found the value of the CIX for MDD (MDD: CI=0.0352; p<0.001) among children with a higher socioeconomic status, suggesting inequality in MDD in favour of the more among well-off households.

CONCLUSION

Inequality in the prevalence of MDD favours the affluent. Health policy and intervention design should prioritise minimising socioeconomic inequalities concerning the MDD. In addition, policy-makers should prioritise the associated factors of MDD such as education, wealth status, employment, media exposure while designing intervention or policies.

Measurements of Groomed-Jet Substructure of Charm Jets Tagged by D^{0} Mesons in Proton-Proton Collisions at sqrt[s]=13 TeV

Understanding the role of parton mass and Casimir color factors in the quantum chromodynamics parton shower represents an important step in characterizing the emission properties of heavy quarks. Recent experimental advances in jet substructure techniques have provided the opportunity to isolate and characterize gluon emissions from heavy quarks. In this Letter, the first direct experimental constraint on the charm-quark splitting function is presented, obtained via the measurement of the groomed shared momentum fraction of the first splitting in charm jets, tagged by a reconstructed D^{0} meson. The measurement is made in proton-proton collisions at sqrt[s]=13  TeV, in the low jet transverse-momentum interval of 15≤p_{T}^{jet ch}<30  GeV/c where the emission properties are sensitive to parton mass effects. In addition, the opening angle of the first perturbative emission of the charm quark, as well as the number of perturbative emissions it undergoes, is reported. Comparisons to measurements of an inclusive-jet sample show a steeper splitting function for charm quarks compared with gluons and light quarks. Charm quarks also undergo fewer perturbative emissions in the parton shower, with a reduced probability of large-angle emissions.

Emerging burdens of adolescent psychosocial health problems: a population-based study of 202 040 adolescents from 68 countries

BACKGROUND

Psychosocial health problems are major public health burdens for adolescents. Identifying risk factors is essential to containing negative health implications.

AIMS

This study aimed to estimate the burden of psychosocial health problems among adolescents, and identify potential risk and protective factors.

METHOD

We used the Global School-based Student Health Survey data from 68 countries across six World Health Organization regions. We computed the overall, national- and regional-level weighted estimates of the mean number of psychosocial health problems. Adjusted Poisson regression models examined the factors associated with psychosocial health problems.

RESULTS

Our sample totalled 202 040 adolescents aged 11-17 years (mean age 14.6 [s.d. 1.18] years), composed of 95 589 (47.31%) boys and 104 191 (51.57%) girls (2260 (1.12%) missing answers). Samoa had the highest mean number of psychosocial health problems (mean 2.64 [s.d. 1.41]), and Niue had the lowest (mean 0.33 [s.d. 0.72]). In the pooled analysis, the following factors were associated with higher rates of psychosocial health problems in adolescents globally: ≥13 years of age, being female, experiencing food insecurity, experiencing physical violence, having been bullied, engagement in physical altercation, experiencing serious injury, missing school without parental permission, lack of parental support or monitoring, parents who were not understanding of their child's problems and high sedentary behaviour. Being female, food insecurity, bullying, physical attacks or serious injury were all significantly associated with higher rates of psychosocial health problems in each of the six regions separately.

CONCLUSIONS

The prevalence of psychosocial health problems is high among adolescents, although there are country-level variations. Health promotion strategies should consider the identified factors to promote adolescents' health and well-being.

Exposure to secondhand smoke is associated with poor sleep quality among non-smoking university students in Bangladesh: a cross-sectional survey

Although secondhand smoke (SHS) exposure is predominant in Bangladesh, the adverse effect of SHS exposure on health-related behaviors, such as sleep quality, have remained an under-investigated area of the country's public health landscape. Therefore, the purpose of this study was to examine the association between SHS exposure and poor sleep quality among non-smoking university students in Bangladesh. A cross-sectional survey was carried out between May and September 2022. SHS exposure (main predictor variable) and other covariates (e.g., age, sex, etc.) were measured using a self-reported questionnaire and sleep quality (outcome variable) was measured via the Pittsburgh Sleep Quality Index. Multiple logistic regression models investigated the association between SHS exposure and poor sleep quality. The study included 390 students (mean age: 22 years, 53.8% male). Approximately 41.8% of the participants reported SHS exposure, and 50.5% had poor sleep quality. Students exposed to SHS were more likely to have poor sleep quality compared to their counterparts (AOR = 1.61; 95% CI 1.01, 2.58). Subgroup analysis revealed poor sleep quality was 2-times higher among male students exposed to SHS than those male students without SHS exposure (AOR = 2.03; 95% CI 1.05, 3.93). No association was found in female students. Findings from this study warrant increased awareness and public health initiatives on the implications of SHS on health behaviors, such as sleep quality, in non-smoking Bangladeshi university students.

Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019

Background

The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019.

Methods

We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends.

Findings

In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of -0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = -0.41), inflammatory bowel disease (AAPC = -0.72), multiple sclerosis (AAPC = -0.26), psoriasis (AAPC = -0.77), and atopic dermatitis (AAPC = -0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR.

Interpretation

The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively.

Funding

The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).

Measurement of the Lifetime and Λ Separation Energy of _{Λ}^{3}H

The most precise measurements to date of the _{Λ}^{3}H lifetime τ and Λ separation energy B_{Λ} are obtained using the data sample of Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV collected by ALICE at the LHC. The _{Λ}^{3}H is reconstructed via its charged two-body mesonic decay channel (_{Λ}^{3}H→^{3}He+π^{-} and the charge-conjugate process). The measured values τ=[253±11(stat)±6(syst)]  ps and B_{Λ}=[102±63(stat)±67(syst)]  keV are compatible with predictions from effective field theories and confirm that the _{Λ}^{3}H structure is consistent with a weakly bound system.

Determinants of health care seeking behavior for childhood infectious diseases and malnutrition: A slum-based survey from Bangladesh

This study aimed to explore the magnitude and determinants of health care seeking behaviors for common infectious disease and malnutrition among Bangladeshi under-five children living in slum areas. A cross-sectional study of 300 children-caregiver dyads was conducted in an urban slum of Bangladesh. Data were collected via a structured questionnaire with accompanying anthropometric assessments of children administered by research staff. Multiple logistic regression was employed to identify associated factors of health care seeking behaviors. Only 44.7% and 13.0% of respondents sought care for childhood infectious diseases and malnutrition, respectively. Being a male child, 2-5 years old, having ≤5 family members, monthly family income >125$, and living in close proximity to a health facility were found to be potential determinants of health care seeking behavior for childhood infectious diseases. Mother/caregivers with poor nutritional information knowledge and who had a child 2-5 years old reported engaging in less care seeking behaviors regarding their child's malnutrition compared to their counterparts. Caregivers of children under the age of 5 years old reported low participation in health care seeking behaviors in relation to childhood infectious disease and malnutrition. Families living in slums require additional support targeting health and nutritional educational programs.

A formative research to explore the programmatic approach of vaccinating the Rohingya refugees and host communities against COVID-19 infection in Bangladesh

BACKGROUND

The vaccination of the Rohingya refugees and host communities against COVID-19 in Cox's Bazar started in August 2021. Government authorities and Non-Government Organisation partners implemented a project around the initial period of vaccination to improve awareness and access to target beneficiaries. We conducted formative research to understand the programmatic approach of this project and identify potential challenges and community perceptions regarding immunisation against COVID-19.

METHODOLOGY

This was formative research in which we used a qualitative method of data collection. Purposively chosen 12 key-informant interviews and conveniently chosen 20 in-depth interviews were conducted using semi-structured interview guidelines from August to September 2022 in the Rohingya camp and host communities of Cox's Bazar District, Bangladesh. Ethical approval was obtained from the North South University Institutional Review Board, and written informed consent was obtained from all the participants. We used a thematic analysis approach to analyse the data.

RESULTS

The project neither provided any promotional or tailored messages regarding the COVID-19 vaccine nor conducted any vaccine hesitancy surveys before implementing the project. The project did not provide any storage facilities for the vaccines' cold chain management but provided transport support to carry the vaccines from the district to the sub-district level. Community leaders were included in the decision-making process during local-level planning of the vaccination programme. The project supported the reporting of any adverse effects following immunisation from community members to the government health authorities. Vaccine hesitancy among participants was high in the early stages, but mass campaigns and vaccination of frontline health workers increased their acceptance. The major challenges reported by the informants were low budget and lower salaries of field staff, stacking of the registration process at the beginning, reluctance of participants, inadequate transportation and manpower, and inadequate baby feeding corners at vaccination centers.

CONCLUSION

The findings from our study will help policymakers from the Government, the UN, and other humanitarian agencies to adapt and better address the issue of vaccine acceptance and strengthen the vaccination programme.

Inequalities in early initiation of breastfeeding in Bangladesh: an estimation of relative and absolute measures of inequality

BACKGROUND

Evidence suggested that inequalities based on education, wealth status, place of residence, and geographical regions significantly influence the key breastfeeding indicators including early initiation of breastfeeding. This study aimed to estimate the trends and magnitude of inequalities in early initiation of breastfeeding practice in Bangladesh from 2004 to 2017 applying both absolute and relative measures of inequality.

METHODS

We used data from the last five Bangladesh Demographic Health Survey (BDHS) from 2004 to 2017 to measure the inequalities in early initiation of breastfeeding practice using the WHO's Health Equity Assessment Toolkit (HEAT) software. Following summary measures were estimated to measure the inequalities: Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D), and Ratio (R) where the equity dimensions were wealth status, education level, sex of child, place of residence, and subnational regions (divisions). For each measure, point estimates along with a 95% confidence interval (CI) were reported.

RESULTS

An uprising pattern in the prevalence of early initiation of breastfeeding was found, where early initiation of breastfeeding increased from 24.9% to 2004 to 59.0% in 2017. We found significant wealth-driven inequalities in early initiation of breastfeeding practice in every wave of survey favoring the poorest wealth quintile (in 2017, D -10.5; 95% CI -16.6 to -4.3). We also identified geographical disparities in early initiation of breastfeeding practice (in 2017, PAF 11.1; 95% CI 2.2 to 19.9) favoring the Rangpur (65.5%), and Sylhet (65.3%) divisions. Education-related disparities were observed in 2004 only, but not in later survey years, which was due to a much lower level of adherence among those with secondary or higher education. There were no significant disparities in early initiation of breastfeeding based on the urban vs. rural residence and sex of the child.

CONCLUSIONS

The highest attention should be placed in Bangladesh to attain the WHO's 100% recommendation of timely initiation of breastfeeding. This study emphasizes on addressing the existing socioeconomic and geographic inequalities. Awareness-raising outreach programs focusing the mothers from wealthier sub-groups and divisions with lower prevalence should be planned and implemented by the joint effort of the government and non-government organizations.

Measurement of the J/ψ Polarization with Respect to the Event Plane in Pb-Pb Collisions at the LHC

We study the polarization of inclusive J/ψ produced in Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV at the LHC in the dimuon channel, via the measurement of the angular distribution of its decay products. We perform the study in the rapidity region 2.5 Collapse

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First Measurement of Antideuteron Number Fluctuations at Energies Available at the Large Hadron Collider

The first measurement of event-by-event antideuteron number fluctuations in high energy heavy-ion collisions is presented. The measurements are carried out at midrapidity (|η|<0.8) as a function of collision centrality in Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV using the ALICE detector. A significant negative correlation between the produced antiprotons and antideuterons is observed in all collision centralities. The results are compared with a state-of-the-art coalescence calculation. While it describes the ratio of higher order cumulants of the antideuteron multiplicity distribution, it fails to describe quantitatively the magnitude of the correlation between antiproton and antideuteron production. On the other hand, thermal-statistical model calculations describe all the measured observables within uncertainties only for correlation volumes that are different with respect to those describing proton yields and a similar measurement of net-proton number fluctuations.

Enhanced Deuteron Coalescence Probability in Jets

The transverse-momentum (p_{T}) spectra and coalescence parameters B_{2} of (anti)deuterons are measured in p-p collisions at sqrt[s]=13  TeV for the first time in and out of jets. In this measurement, the direction of the leading particle with the highest p_{T} in the event (p_{T}^{lead}>5  GeV/c) is used as an approximation for the jet axis. The event is consequently divided into three azimuthal regions, and the jet signal is obtained as the difference between the toward region, that contains jet fragmentation products in addition to the underlying event (UE), and the transverse region, which is dominated by the UE. The coalescence parameter in the jet is found to be approximately a factor of 10 larger than that in the underlying event. This experimental observation is consistent with the coalescence picture and can be attributed to the smaller average phase-space distance between nucleons in the jet cone as compared with the underlying event. The results presented in this Letter are compared to predictions from a simple nucleon coalescence model, where the phase-space distributions of nucleons are generated using pythia8 with the Monash 2013 tuning, and to predictions from a deuteron production model based on ordinary nuclear reactions with parametrized energy-dependent cross sections tuned on data. The latter model is implemented in pythia8.3. Both models reproduce the observed large difference between in-jet and out-of-jet coalescence parameters, although the almost flat trend of the B_{2}^{Jet} is not reproduced by the models, which instead give a decreasing trend.

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050.

METHODS

Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively.

FINDINGS

In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%.

INTERPRETATION

Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers.

FUNDING

Bill & Melinda Gates Foundation.

Permanent, long-acting and short-acting reversible contraceptive methods use among women in Bangladesh: an analysis of Bangladesh Demographic and Health Survey 2017-2018 data

OBJECTIVES

This study aims to explore the factors associated with the permanent and long-acting reversible contraceptive (LARC) method use compared with short-acting reversible contraceptive (SARC) methods among Bangladeshi ever-married women aged 15-49 years.

DESIGN

Cross-sectional study.

SETTING

We used data from Bangladesh Demographic Health Survey (BDHS) 2017-2018.

PARTICIPANTS

A total of 9669 Bangladeshi reproductive-aged women who gave information on contraception use were the study participants. A multilevel multinomial logistic regression model was employed where the SARC method was considered as the base category and the cluster was considered as level-2 factor.

RESULTS

Among the contraceptive users in Bangladeshi women, about 83.48% used the SARC method, while 11.34%, and 5.18% used permanent and LARC methods, respectively. Compared with SARC, women with no formal education and only primary education who were non-Muslims, and had parity of ≥3 had a higher likelihood of using both permanent and LARC methods. Women from the age group of 25-34 years (adjusted relative risk ratio (aRRR): 7.03, 95% CI: 4.17 to 11.85) and 35-49 years (aRRR: 12.53, 95% CI: 7.27 to 21.58) who were employed (aRRR: 1.19, 95% CI: 1.00 to 1.40), had media access (aRRR: 1.24, 95% CI: 1.03 to 1.49), gave birth in last 5 years (aRRR: 1.40, 95% CI: 1.11 to 1.76), whose contraception decision solely made by their husband (aRRR: 7.03, 95% CI: 5.15 to 9.60) and having high decision-making power (aRRR: 2.12, 95% CI: 1.62 to 2.77) were more likely to use permanent contraceptive methods. We observed that women from households with richer (aRRR: 0.65, 95% CI: 0.45 to 0.93) and richest (aRRR: 0.38, 95% CI: 0.23 to 0.63) wealth quintiles were less likely to use LARC methods.

CONCLUSIONS

This study identified that women with no/less education, non-Muslims, and having parity of ≥3 were more likely to use both permanent and LARC methods than SARC methods. Targeted interventions could be developed and implemented to promote personalised contraceptive use.

Home environment factors associated with early childhood development in rural areas of Bangladesh: evidence from a national survey

Background

Knowing the relationship between the factors related to home environment and early childhood development (ECD) in Bangladeshi children aged 3 to 4  years would help to find out appropriate interventions for the children with lower ECD outcomes. Therefore, we aimed to understand the relationship between the home environment factors and ECD in rural Bangladeshi children aged 3 to 4  years.

Methods

We used data from the Multiple Indicator Cluster Survey (MICS) 2019, and included 7,326 rural children aged 3 to 4  years. The ECD index (ECDI) included four domains: literacy-numeracy, learning, physical and socio-emotional development. If a child met at least three of these four domains, the child was indicated as developmentally "on track".

Results

The findings show that 27.4% of rural children missed to reach developmentally on-track while 72.2% of children did not attain the literacy-numeracy domain of ECD. The home environment factors including parental participation in children's activities, was found to be associated with ECD. For instance, reading books to child had 26% (aOR = 1.26, 95% CI = 1.08-1.48), and telling stories to child had 29% (aOR = 1.29, 95% CI = 1.09-1.53) more developmentally on-track in overall ECDI. Similar associations between home environment factors and specific ECD domains were also obtained. We also identified that children aged 4  years, girls, and children of mothers with higher socio-economic status (SES) were higher developmentally on-track than their counterparts.

Conclusion

Home environment factors like reading books and telling stories to children were found to be significantly associated with ECD in rural areas of Bangladesh. Our study's findings would assist in implementing the essential public health intervention to enhance the ECD program especially in the rural Bangladeshi context.

Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades

BACKGROUND

Maternal and neonatal mortality is a major public health concern globally. Evidence supports that skilled birth attendants (SBA) can significantly reduce maternal and neonatal mortality. Despite the improvement in SBA use, Bangladesh lacks evidence of equality in SBA use across socioeconomic and geographic regions. Therefore, we aim to estimate the trends and magnitude of inequality in SBA use in Bangladesh over the last two decades.

METHODS

Data from the last 5 rounds of Bangladesh Demographic and Health Surveys (BDHS; 2017-18, 2014, 2011, 2007, and 2004) were used to measure the inequalities in the SBA use utilizing the WHO's Health Equity Assessment Toolkit (HEAT) software. Inequality was assessed by four summary measures, namely, Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D), and Ratio (R) based on the four equity dimensions: wealth status, education level, place of residence, and subnational regions (divisions). Point estimates and a 95% confidence interval (CI) were reported for each measure.

RESULTS

An increasing trend in the overall prevalence of SBA use was observed (From 15.6% in 2004 to 52.9% in 2017). We found significant inequalities in SBA use in every wave of BDHS (from 2004 to 2017), with the result concentrating on the rich (in 2017, PAF: 57.1; 95% CI: 52.5-61.7), educated (in 2017, PAR: 9.9; 95% CI: 5.2-14.5),  and people from urban areas (in 2017, PAF: 28.0; 95% CI: 26.4-29.5). We also identified geographic disparities in SBA use favoring Khulna and Dhaka divisions (in 2017, PAR: 10.2; 95% CI: 5.7-14.7). Our study also observed inequality in using SBA among Bangladeshi women decreased over time.

CONCLUSION

To increase SBA use and to decrease inequality in all four equity dimensions, disadvantaged sub-groups should be prioritized in policies and planning for program implementation.

Factors influencing and changes in childhood vaccination coverage over time in Bangladesh: a multilevel mixed-effects analysis

INTRODUCTION

This study aimed to investigate the associated factors and changes in childhood vaccination coverage over time in Bangladesh.

METHODS

Bangladesh's Demographic and Health Surveys from 2011, 2014, and 2017-18 provided data for this study on vaccination coverage among children aged 12 to 35 months. For three survey periods, multilevel binary logistic regression models were employed.

RESULTS

The overall prevalence (weighted) of full vaccination among children aged 12-35 months were 86.17% in 2011, 85.13% in 2014, and 89.23% in 2017-18. Children from families with high wealth index, mothers with higher education, and over the age of 24 and who sought at least four ANC visits, as well as children from urban areas were more likely to receive full vaccination. Rangpur division had the highest change rate of vaccination coverage from 2011 to 2014 (2.26%), whereas Sylhet division had the highest change rate from 2014 to 2017-18 (34.34%).

CONCLUSION

To improve immunization coverage for Bangladeshi children, policymakers must integrate vaccine programs, paying special attention to mothers without at least a high school education and families with low wealth index. Increased antenatal care visits may also aid in increasing the immunization coverage of their children.

Food neophobia and its association with sociodemographic factors and food preferences among Bangladeshi university students: Evidence from a cross-sectional study

Food neophobia, described as a reluctance to eat and or avoid new food, is a personality trait that affects food choice. Despite its potential influence on an individual's food intake, food neophobia has been poorly investigated in Bangladesh. This cross-sectional study was designed to evaluate food neophobia and its association with sociodemographic factors and food preferences in a sample of Bangladeshi university students. Five hundred students from five public universities completed the structured surveys. Food neophobia was assessed by a 10-item validated food neophobia scale with some minor modifications based on study settings. A multiple linear regression model was used to observe the factors associated with food neophobia. The mean food neophobia score among study participants was 37.45 (SD: 13.39, Range: 13-67). According to the adjusted statistical model, being female (regression coefficient, β = 2.73), having higher monthly family income (β = -6.64), being underweight (β = 4.68), being overweight (β = -4.63), having any food allergy (β = 9.09), and a history of sickness after eating a new food item (β = 5.16) were significantly associated with food neophobia amongst the participants. The participants' liking of various food items such as vegetables were significantly correlated with food neophobia scores. Nutrition education policies and programs are of importance to address the students' food neophobia during their tertiary education so that they maintain lifelong healthy dietary habits and consume a variety of foods to improve their physical health and well-being.

Change in prevalence over time and factors associated with depression among Bangladeshi older adults during the COVID-19 pandemic

BACKGROUND

Globally, the COVID-19 pandemic seriously affected both physical and mental health conditions. This study aims to assess changes in the prevalence of depression among older adults during the COVID-19 pandemic in Bangladesh and explore the correlates of depression in pooled data.

METHODS

This study followed a repeated cross-sectional design and was conducted through telephone interviews on two successive occasions during the COVID-19 pandemic (October 2020 and September 2021) among 2077 (1032 in 2020-survey and 1045 in 2021-survey) older Bangladeshi adults aged 60 years and above. Depression was measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depression in pooled data.

RESULTS

A significant increase in the prevalence of depression was noted in the 2021 survey compared to the 2020 survey (47.2% versus 40.3%; adjusted odds ratio (aOR): 1.40, 95% confidence interval (CI): 1.11-1.75). Depression was significantly higher among participants without a partner (aOR 1.92, 95% CI 1.45-2.53), with a monthly family income of <5000 BDT (aOR: 2.65, 95% CI 1.82-3.86) or 5000-10 000 BDT (aOR: 1.30, 95% CI 1.03-1.65), living alone (aOR 2.24, 95% CI 1.40-3.61), feeling isolated (aOR 3.15, 95% CI 2.49-3.98), with poor memory/concentration (aOR 2.02, 95% CI 1.58-2.57), with non-communicable chronic conditions (aOR 1.34, 95% CI 1.06-1.69), overwhelmed by COVID-19 (aOR 1.54, 95% CI 1.18-2.00), having difficulty earning (aOR 1.49, 95% CI 1.15-1.92) or obtaining food (aOR 1.56, 95% CI 1.17-2.09) during COVID-19 pandemic, communicating less frequently (aOR 1.35, 95% CI 1.07-1.70) and needing extra care (aOR 2.28, 95% CI 1.75-2.96) during the pandemic.

CONCLUSIONS

Policymakers and public health practitioners should provide immediate mental health support initiatives for this vulnerable population during the COVID-19 pandemic and beyond. Policymakers should also invest in creating safe places to practise mindful eating, exercise, or other refuelling activities as a means of preventing and managing depression.

Investigating problematic uses of Facebook and other Internet activities among university students in Bangladesh during the COVID-19 pandemic

Problematic use of Internet (PUI) and problematic use of Facebook (PUF) has been linked to escalating behavioral health issues among university students and has increased during the COVID-19 pandemic. This study estimated the prevalence of and explored associated factors for PUI and PUF among Bangladeshi university students during the COVID-19 pandemic. A cross-sectional online survey was undertaken among 1101 Bangladeshi university students between November and December 2020. The Internet Addiction Test and Facebook Addiction Scale were used to assess PIU and PUF, respectively. A multiple linear regression analysis was performed to adjust for confounders. Among the participants, PUI and PUF were found in 39.3% and 37.1%, respectively. The multiple linear regression model indicated PUI was significantly associated with participants residing in a village, arts majors, those unsatisfied with their major, having mediocre parental relationships, failure in romantic relationships, physical comorbidities, longer use of the Internet, using the Internet for purposes other than education, using social media, and downloading movies/TV series. PUF was significantly associated with village residence, lower income, arts majors, failure in romantic relationships, longer use of the Internet, using the Internet for purposes other than education, and downloading movies/TV series. Both PUI and PUF have been prevalent among Bangladeshi university students during the COVID-19 pandemic. Longitudinal & exploratory studies are warranted in the future to identify causal factors for PUI and PUF and appropriate interventions should be designed quickly for this population.

Next generation high resolution perovskite direct conversion detector: Monte Carlo design optimisation and virtual clinical trial

We implement virtual clinical integration of next-generation perovskite detectors into common x-ray imaging devices. This was achieved by performing Monte Carlo (MC) optimisation of the design and benchmarking of low cost, high spatial resolution, direct conversion perovskite crystal x-ray flat panel imagers for a next generation of breast-, MV-, and kV-cone beam CT detectors. Semiconductor methylammonium lead bromide perovskite crystals energy deposition efficiencies calculated in TOPAS were benchmarked against four common detector materials for twelve detector crystal thicknesses between 40 to 15 mm and ten beam energies ranging from 20 keV to 6 MeV. Based on these simulations, Koning's dedicated breast CT, and Varian's Truebeam kV- and MV-cone beam CT systems were designated as suitable applications for perovskite detectors. System specific Fastcat hybrid MC cone beam CT image simulation was subsequently used to optimise the perovskite detector design and conduct virtual clinical trials. Device-specific optimal perovskite crystal thicknesses were calculated to be 0.30, 0.86, and 1.99 mm for Koning breast CT and Truebeam kV- and MV-cone beam CT systems, respectively. Replacing the current detectors on these machines with low cost perovskite crystal detectors could be advantageous as it would simultaneously yield 12.1%, 9.5% and 86.1% improvements in detective quantum efficiency as well as increases in contrast to noise ratio in brain, lung, and bone tissues.

Prevalence and factors associated with chronic school absenteeism among 207,107 in-school adolescents: Findings from cross-sectional studies in 71 low-middle and high-income countries

BACKGROUND

Despite the negative impact of chronic school absenteeism on the psychological and physical health of adolescents, data on the burden of adolescent chronic school absenteeism (ACSA) and interventions and programs to address it are lacking. We estimated the global, regional and national level prevalence of ACSA and its correlation with violence and unintentional injury, psychosocial, protective, lifestyle, and food security-related factors among in-school adolescents across low and middle-income, and high-income countries (LMICs-HICs).

OBJECTIVES

This study aimed to estimate the prevalence of chronic school absenteeism (CSA) as well as to determine its associated factors among in-school adolescents across 71 low-middle and high-income countries.

METHODS

We used data from the most recent Global School-based Student Health Survey of 207,107 in-school adolescents aged 11-17 years in 71 LMICs-HICs countries across six WHO regions. We estimated the weighted prevalence of ACSA from national, regional and global perspectives. Multiple binary logistic regression analyses were used to estimate the adjusted effect of independent factors on ACSA.

RESULTS

The overall population-weighted prevalence of CSA was 11·43% (95% confidence interval, CI: 11·29-11·57). Higher likelihood of CSA was associated with severe food insecurity, peer victimisation, loneliness, high level of anxiety, physically attack, physical fighting, serious injury, poor peer support, not having close friends, lack of parental support, being obese, and high levels of sedentary behaviours. Lower likelihood of CSA was associated with being female (odds ratio, OR = 0·76, 95% CI: 0·74-0·78).

CONCLUSION

Our findings indicate that a combination of different socio-economic factors, peer conflict and injury factors, factors exacerbate CSA among adolescents. Interventions should be designed to focus on these risk factors and should consider the diverse cultural and socioeconomic contexts.

The burden of chronic diseases, disease-stratified exploration and gender-differentiated healthcare utilisation among patients in Bangladesh

BACKGROUND

Chronic diseases are considered one of the major causes of illness, disability, and death worldwide. Chronic illness leads to a huge health and economic burden, especially in low- and middle-income countries. This study examined disease-stratified healthcare utilisation (HCU) among Bangladesh patients with chronic diseases from a gender perspective.

METHODS

Data from the nationally representative Household Income and Expenditure Survey 2016-2017 consisting of 12,005 patients with diagnosed chronic diseases was used. Gender differentiated chronic disease stratified-analytical exploration was performed to identify the potential factors to higher or lower utilisation of healthcare services. Logistic regression with step-by-step adjustment for independent confounding factors was the method used.

RESULTS

The five most prevalent chronic diseases among patients were gastric/ulcer (Male/Female, M/F: 16.77%/16.40%), arthritis/rheumatism (M/F: 13.70%/ 13.86%), respiratory diseases/asthma/bronchitis (M/F: 12.09% / 12.55%), chronic heart disease (M/F: 8.30% / 7.41%), and blood pressure (M/F: 8.20% / 8.87%). Eighty-six percent of patients with chronic diseases utilised health care services during the previous 30 days. Although most patients received outpatient healthcare services, a substantial difference in HCU among employed male (53%) and female (8%) patients were observed. Chronic heart disease patients were more likely to utilise health care than other disease types, which held true for both genders while the magnitude of HCU was significantly higher in males (OR = 2.22; 95% CI:1.51-3.26) than their female counterparts (OR = 1.44; 1.02-2.04). A similar association was observed among patients with diabetes and respiratory diseases.

CONCLUSION

A burden of chronic diseases was observed in Bangladesh. Patients with chronic heart disease utilised more healthcare services than patients experiencing other chronic diseases. The distribution of HCU varied by patient's gender as well as their employment status. Risk-pooling mechanisms and access to free or low-cost healthcare services among the most disadvantaged people in society might enhance reaching universal health coverage.

Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007-2017 Demographic and Health Survey data

OBJECTIVES

The prime objectives of the study were to measure the prevalence of facility delivery, assess socioeconomic inequalities and determine potential associated factors in the use of facility delivery in Bangladesh.DesignCross-sectional.

SETTING

The study involved investigation of nationally representative secondary data from the Bangladesh Demographic and Health Survey between 2007 and 2017-2018.

PARTICIPANTS

The participants of this study were 30 940 (weighted) Bangladeshi women between the ages of 15 and 49.

METHODS

Decomposition analysis and multivariable logistic regression were both used to analyse data to achieve the study objectives.

RESULTS

The prevalence of using facility delivery in Bangladesh has increased from 14.48% in 2007 to 49.26% in 2017-2018. The concentration index for facility delivery utilisation was 0.308 with respect to household wealth status (p<0.001), indicating that use of facility delivery was more concentrated among the rich group of people. Decomposition analysis also indicated that wealth quintiles (18.31%), mothers' education (8.78%), place of residence (7.75%), birth order (5.56%), partners' education (4.30%) and antenatal care (ANC) seeking (8.51%) were the major contributors to the prorich socioeconomic inequalities in the use of facility delivery. This study found that women from urban areas, were overweight, had any level of education, from wealthier families, had ANC, and whose partners had any level of education and involved in business were more likely to have facility births compared with their respective counterparts.

CONCLUSIONS

This study found a prorich inequality in the use of facility delivery in Bangladesh. The socioeconomic disparities in facility delivery must be addressed if facility delivery usage is to increase in Bangladesh.

Prevalence and determinants of contraceptive method use among Bangladeshi women of reproductive age: a multilevel multinomial analysis

BACKGROUND

Much scholarly debate has centered on Bangladesh's family planning program (FPP) in lowering the country's fertility rate. This study aimed to investigate the prevalence of using modern and traditional contraceptive methods and to determine the factors that explain the contraceptive methods use.

METHODS

The study used data from the 2017-18 Bangladesh Demographic and Health Survey (BDHS), which included 11,452 (weighted) women aged 15-49 years in the analysis. Multilevel multinomial logistic regression was used to identify the factors associated with the contraceptive method use.

RESULTS

The prevalence of using modern contraceptive methods was 72.16%, while 14.58% of women used traditional methods in Bangladesh. In comparison to women in the 15-24 years age group, older women (35-49 years) were more unwilling to use modern contraceptive methods (RRR: 0.28, 95% CI: 0.21-0.37). Women who had at least a living child were more likely to use both traditional and modern contraceptive methods (RRR: 4.37, 95% CI: 3.12-6.11). Similarly, given birth in the previous 5 years influenced women 2.41 times more to use modern method compared to those who had not given birth (RRR: 2.41, 95% CI: 1.65-3.52). Husbands'/partners' decision for using/not using contraception were positively associated with the use of both traditional (RRR: 4.49, 95% CI: 3.04-6.63) and modern methods (RRR: 3.01, 95% CI: 2.15-4.17) rather than using no method. This study suggests rural participants were 21% less likely to utilize modern methods than urban participants (RRR: 0.79, 95% CI: 0.67-0.94).

CONCLUSION

Bangladesh remains a focus for contraceptive use, as it is one of the most populous countries in South Asia. To lower the fertility rate, policymakers may design interventions to improve awareness especially targeting uneducated, and rural reproductive women in Bangladesh. The study also highlights the importance of male partners' decision-making regarding women's contraceptive use.

Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6-23 months: a decomposition analysis

This study aimed to measure the socio-economic inequalities in having minimum dietary diversity (MDD) among Bangladeshi children aged 6-23 months as well as to determine the factors that potentially contribute to the inequity. The Bangladesh Demographic and Health Survey (BDHS) 2017-2018 data were used in this study. A sample of 2405 (weighted) children aged 6-23 months was included. The overall weighted prevalence of MDD was 37.47%. The concentration index (CIX) value for inequalities in MDD due to wealth status was positive and the concentration curve lay below the line of equality (CIX: 0.1211, p < 0.001), where 49.47% inequality was contributed by wealth status, 25.06% contributed by the education level of mother, and 20.41% contributed by the number of ante-natal care (ANC) visits. Similarly, the CIX value due to the education level of mothers was also positive and the concentration curve lay below the line of equality (CIX: 0.1341, p < 0.001), where 52.68% inequality was contributed by the education level of mother, 18.07% contributed by wealth status, and 14.69% contributed by the number of ANC visits. MDD was higher among higher socioeconomic status (SES) groups. Appropriate intervention design should prioritize minimizing socioeconomic inequities in MDD, especially targeting the contributing factors of these inequities.

Cohort profile: the ESC EURObservational Research Programme Non-ST-segment elevation myocardial infraction (NSTEMI) Registry

AIMS

The European Society of Cardiology (ESC) EURObservational Research Programme (EORP) Non-ST-segment elevation myocardial infarction (NSTEMI) Registry aims to identify international patterns in NSTEMI management in clinical practice and outcomes against the 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without ST-segment-elevation.

METHODS AND RESULTS

Consecutively hospitalised adult NSTEMI patients (n = 3620) were enrolled between 11 March 2019 and 6 March 2021, and individual patient data prospectively collected at 287 centres in 59 participating countries during a two-week enrolment period per centre. The registry collected data relating to baseline characteristics, major outcomes (in-hospital death, acute heart failure, cardiogenic shock, bleeding, stroke/transient ischaemic attack, and 30-day mortality) and guideline-recommended NSTEMI care interventions: electrocardiogram pre- or in-hospital, pre-hospitalization receipt of aspirin, echocardiography, coronary angiography, referral to cardiac rehabilitation, smoking cessation advice, dietary advice, and prescription on discharge of aspirin, P2Y12 inhibition, angiotensin converting enzyme inhibitor (ACEi)/angiotensin receptor blocker (ARB), beta-blocker, and statin.

CONCLUSION

The EORP NSTEMI Registry is an international, prospective registry of care and outcomes of patients treated for NSTEMI, which will provide unique insights into the contemporary management of hospitalised NSTEMI patients, compliance with ESC 2015 NSTEMI Guidelines, and identify potential barriers to optimal management of this common clinical presentation associated with significant morbidity and mortality.

Association between Nutrition Literacy and Bangladeshi Adults' Healthy Eating Behaviors: Evidence from the Nutrition Literacy Study 2021

This study investigated the association between healthy eating behaviors and nutrition literacy in a sample of Bangladeshi adults. A cross-sectional survey was conducted among 400 adults from two districts of Bangladesh (Dhaka and Chattogram). Data were generated by in-person interviews using a structured questionnaire. The Nutrition Literacy Scale and National Dietary Guidelines for Bangladesh were used to assess nutrition literacy and healthy eating behaviors, respectively. Multiple linear regression models were used to observe the association. The mean score for healthy eating behavior was 21.8 (SD = 4.8, Range: 5−33) on a scale of 34. A moderate positive correlation was found between nutrition literacy and healthy eating behavior of participants (r = 0.28, p < 0.001). The adjusted regression model showed that a 1 unit increase in nutrition literacy reflected an increase in the healthy eating behavior score of participants by 0.22 units (β = 0.223, p < 0.001). Findings showed an association between nutrition literacy and eating behaviors in Bangladeshi adults. Future research could be carried out to establish a causal relationship that may help inform the necessity of educational interventions for Bangladeshi adults to assist with meeting national nutrition-related targets.

Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017-2018 demographic and health survey data

BACKGROUND

In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors affecting the facility delivery, quantify wealth-related inequality, and identify potential components that could explain the inequality.

METHODS

We used the latest Bangladesh Demographic and Health Survey (BDHS 2017-18) data in this study. We utilized logistic regression to investigate the associated factors of facility delivery. The concentration curves (CC), concentration index (CIX) and decomposition of CIX techniques were used to analyze the inequality in-facility delivery.

RESULTS

Women living in the urban areas, age at first birth after (18-24 years ≥25 years), being overweight/obese, having secondary and higher-level education of the women and their husband, seeking four or more ANC, coming from more affluent households, and women with high enlightenment were significant determinants of facility delivery. The concentration curve was below the line of equality, and the relative concentration index (CIX) was 0.205 (p <0.001), indicating that women from wealthy groups were disproportionately more prevalent to facility delivery. The decomposition analysis reveals that wealth status of women (57.40%), age at first birth (10.24%), husband's education (8.96%), husband's occupation (7.35%), education of women (7.13%), women's enlightenment (6.15%), residence (8.64%) and ANC visit (6.84%) are the most major contributors to the inequalities in utilizing facility delivery.

CONCLUSION

The study demonstrates a clear disparity in the use of facility delivery among Bangladeshi women; hence, immediate action is required to lower the inequalities, with a special emphasis on the contributing factors.

Factors associated with overweight and obesity among Bangladeshi university students: a case-control study

Objectives: Overweight and obesity has an adverse effect on public health, and emerging adulthood (18-25 years) is recognized as a potential period for the onset of obesity, thus, this study aimed to explore risk factors associated with overweight and obesity in Bangladeshi university students. Participants: Bangladeshi university students (n = 280). Methods: A case-control study of 140 students with overweight and obesity and 140 students with normal weight. Results: Multiple logistic regression revealed having at least one overweight or obese parent (AOR = 4.2; 95% CI: 2.2-8.4) and participating in no physical activity (AOR = 3.2; 95% CI: 1.0-9.9) were potential risk factors. Reported consumption ≥4 meals in a day, junk food/fast food, and soft drinks for ≥3 days a week were potential determinants of overweight and obesity in this population. Conclusion: Increased awareness on the importance of regular physical activity and a healthy diet may reduce the risk of overweight and obesity among Bangladeshi university students.

The burden of chronic diseases and patients' preference for healthcare services among adult patients suffering from chronic diseases in Bangladesh

BACKGROUND

Low- and middle-income countries (LMICs) have a disproportionately high burden of chronic diseases, with inequalities in health care access and quality services. This study aimed to assess patients' preferences for healthcare services for chronic disease management among adult patients in Bangladesh.

METHODS

The present analysis was conducted among 10,385 patients suffering from chronic diseases, drawn from the latest Household Income and Expenditure Survey 2016-2017. We used the multinomial logistic regression to investigate the association of chronic comorbid conditions and healthcare service-related factors with patients' preferences for healthcare services.

RESULTS

The top four dimensions of patient preference for healthcare services in order of magnitude were quality of treatment (30.3%), short distance to health facility (27.6%), affordability of health care (21.7%) and availability of doctors (11.0%). Patients with heart disease had a 29% significantly lower preference for healthcare affordability than the quality of healthcare services (relative risk ratio [RRR] = 0.71; 0.56-0.90). Patients who received healthcare services from pharmacies or dispensaries were more likely to prefer a short distance to a health facility (RRR = 6.99; 4.80-9.86) or affordability of healthcare services (RRR = 3.13; 2.25-4.36). Patients with comorbid conditions were more likely to prefer healthcare affordability (RRR = 1.39; 1.15-1.68). In addition, patients who received health care from a public facility had 2.93 times higher preference for the availability of medical doctors (RRR = 2.93; 1.70-5.04) than the quality of treatment in the health facility, when compared with private service providers.

CONCLUSIONS

Patient preferences for healthcare services in chronic disease management were significantly associated with the type of disease and its magnitude and characteristics of healthcare providers. Therefore, to enhance service provision and equitable distribution and uptake of health services, policymakers and public health practitioners should consider patient preferences in designing national strategic frameworks for chronic disease management.

PATIENT OR PUBLIC CONTRIBUTION

Our research team includes four researchers (co-authors) with chronic diseases who have experience of living or working with people suffering from chronic conditions or diseases.

Prevalence and factors associated with dietary supplement use among Bangladeshi public university students: A cross-sectional study

INTRODUCTION

The usage of dietary supplement (DS) such as vitamins, minerals, and fish oil has expanded, but there is limited data on their use by sub-populations such as university students. The study was aimed to investigate the prevalence of DS use among Bangladeshi university students and its associated factors.

METHODS

A cross-sectional survey of 390 students was conducted from two public universities from Barishal Division in Bangladesh using a structured questionnaire with 72 questions divided into five sections: sociodemographic, knowledge, opinions, and attitudes, types of DS, reasons and sources for using DS, and adverse reactions after taking DS. Descriptive statistics and logistic regression were utilized to estimate the results.

RESULTS

Among all the students, 15.6% students were using DS where only 7.7% of them used DS according to physicians' recommendation. Additionally, students used DS for general health and well-being, weight gaining and as a source of energy for physical and sporting activities, etc. The use of DS was significantly associated with female sex (AOR = 5.44, 95% CI: 2.18-13.52), ≥25 years age (AOR = 0.08, 95% CI: 0.01-0.67), underweight (AOR = 5.86, 95% CI: 1.95-17.62), having major illness (AOR = 6.99, 95% CI: 1.98-24.70) and good knowledge of DS (AOR = 2.64, 95% CI: 1.23-5.64).

CONCLUSION

This study provides new findings on DS use and its correlates in Bangladeshi students which may be used by the policymakers to improve DS usage among students. Adaptation of an appropriate program is recommended to educate students on proper and safer ways of using DS.

Prevalence of and factors associated with early initiation of breastfeeding in Bangladesh: a multilevel modelling

BACKGROUND

Early initiation breastfeeding (EIBF) is a sign of good health for both the mother and the newborn baby. The objective of this study was to estimate the prevalence of EIBF among mothers in Bangladesh and to identify its associated factors.

METHODS

The study used the most recent Bangladesh Demographic and Health Survey 2017-2018 data. A total of 4776 (weighted) respondents were included in the final analysis. The association between the outcome and the independent variables was determined using multilevel (mixed effects) logistic regression analysis.

RESULTS

The overall weighted prevalence of EIBF among Bangladeshi mothers was 61.19% (confidence interval [CI] 59.80 to 62.56). The study shows that non-poor wealth status (adjusted odds ratio [AOR] 0.81 [95% CI 0.68 to 0.95]), institutional delivery (AOR 0.77 [95% CI 0.61 to 0.96]) and caesarean delivery (AOR 0.31 [95% CI 0.26 to 0.38]) were associated with the lower odds of EIBF. Mother's secondary education (AOR 1.34 [95% CI 1.01 to 1.83]), at least four antenatal care visits (AOR 1.36 [95% CI 1.04 to 1.53]), normal birthweight (AOR 1.42 [95% CI 1.09 to 1.85]) and placed on mother's chest and bare skin after birth (AOR 1.33 [95% CI 1.11 to 1.60]) were associated with higher odds of EIBF.

CONCLUSION

In order to enhance EIBF in Bangladesh, health professionals should emphasise skin-to-skin contact after delivery.

Exploring the Factors Associated with Dietary Diversity of Children Aged 6-59 Months in Some Rural and Slum Areas of Bangladesh amid the COVID-19 Pandemic: A Mixed-Effect Regression Analysis

Background

Dietary diversity (DD) is a key component of diet quality, and malnutrition due to poor diet quality leads to child morbidity and mortality. However, in Bangladesh, there is a lack of information on childhood DD (for children aged 6-59 mo) amid the coronavirus disease 2019 (COVID-19) pandemic.

Objectives

The purpose of this study was to assess the minimum DD and its associated factors among children aged 6-59 mo during the COVID-19 pandemic in Bangladesh.

Methods

A cross-sectional study was carried out in 6 districts of Bangladesh. A total of 1190 respondents were included using cluster random sampling. The Individual Dietary Diversity Score (IDDS) for children was used to assess the children's DD. Factors associated with DD of children were identified using a multilevel binary logistics regression model.

Results

About 70% of the children aged 6-59 mo had minimum DD during the COVID-19 pandemic in Bangladesh. Children who belonged to slum areas [adjusted odds ratio (AOR): 0.45; 95% CI: 0.24, 0.83], family income 12,000-15,000 Bangladeshi taka (BDT) (AOR: 1.79; 95% CI: 1.06, 3.05) and >15,000 BDT (AOR: 2.59; 95% CI: 1.47, 4.57), mothers aged 26-30 y (AOR: 0.35; 95% CI: 0.20, 0.62) and >30 y (AOR: 0.43; 95% CI: 0.22, 0.85), respondents who had 2 children <5 y old (AOR: 0.43; 95% CI: 0.28, 0.66), and children aged 12-23 mo (AOR: 1.89; 95% CI: 1.14, 3.20) were significantly associated with DD among children aged 6-59 mo.

Conclusions

The findings of this study highlight the need for food and nutrition-related intervention, particularly targeting mothers of younger age and with >2 children <5 y old, mothers from slum regions, and fathers who were unemployed, to improve children's DD practices.

Trends in the prevalence and associated factors of prediabetes and diabetes in Bangladesh: Evidence from population-based cross-sectional surveys

AIMS

Diabetes is a major health problem in Bangladesh, but nationally representative studies on its trends and associated factors are scarce to guide policy formulation. Therefore, the study aims to determine trends in the prevalence and associated factors of prediabetes and diabetes in Bangladesh.

METHODS

The study included two population-based cross-sectional surveys from Bangladesh Demographic and Health Survey (n = 7,505 in 2011 and n = 11,959 in 2017-18). Chi-square association tests were performed to determine the associated factors. Logistic regression models (univariate and multivariable) were used to estimate unadjusted and adjusted relative risks of having diabetes, reported with odds ratios. Age-adjusted prevalence was also reported for both surveys.

RESULTS

The overall age-adjusted prevalence of prediabetes and diabetes decreased from 52.77% (95% CI: 52.61-52.92) and 10.43% (95% CI: 10.33-10.53) in 2011 to 34.10% (95% CI: 33.43-34.78) and 8.50% (95% CI: 8.11-8.90) in 2017-18. Compared to males, females had a higher odds of diabetes in 2011, but in 2017-18 a significant inverse result was observed. In both surveys, the odds of prediabetes and diabetes increased with advancing age, obesity, better wealth status, and hypertension.

CONCLUSION

The study shows that the prevalence of prediabetes and diabetes is high in Bangladesh despite decreasing trends. Therefore, the study recommends promoting healthy lifestyles and regular screening for non-communicable diseases.

O-252 Next generation sequencing analysis of the seminal microbiome in male partners of women with idiopathic recurrent pregnancy loss: results of a prospective cohort study

Study question

Is there an association between the semen microbiome, seminal reactive oxygen species (ROS) and DNA fragmentation in men with recurrent pregnancy loss (RPL)?

Summary answer

This pilot study outlines the subtle role that microbiota play in influencing ROS and sperm DNA damage for male partners of women with RPL

What is known already

RPL is defined as the loss of two or more consecutive pregnancies. This devastating condition impacts approximately 1% of couples. Paternal causes are not routinely screened for and an underlying cause is not found in up to 50% of cases. Recent studies have reported an association between elevated seminal ROS and sperm DNA fragmentation in the male partner, and RPL. We hypothesised that seminal microbiota contribute to increased ROS and sperm DNA damage. To test this, we investigated the relationship between seminal bacterial composition and ROS levels in men with proven fertility versus men with a history of RPL.

Study design, size, duration

We conducted a prospective, case-control study and recruited participants between November 2018 and March 2020 at Imperial College Healthcare NHS Trust. A total of 109 men participated in the study; 46 men with RPL and 63 men with proven fertility and no history of RPL. Each participant attended for a single study visit which consisted of a full medical history, assessment of testicular volume, height, weight, blood samples and production of a semen sample.

Participants/materials, setting, methods

Routine semen analysis (WHO) and endocrine and lipid profiles were performed for all patients. Semen ROS and DNA fragmentation were performed (luminol and TUNEL methodologies, respectively). ROS were classified as high (&gt;3.77 RLU/s) or low (&lt;3.77 RLU/s). Metataxonomic profiling of samples was performed using Illumina Miseq-based sequencing of the V1-V2 hypervariable regions of bacterial 16S rRNA gene amplicons. Multivariate and univariate modelling was performed to explore associations between metataxonomic profiles, ROS levels and clinical metadata.

Main results and the role of chance

Men with RPL had higher mean semen volume (p = 0.02) and increased prevalence of high ROS (p = 0.02, Fisher's exact) compared with controls; but other clinical characteristics were similar between groups. A total of 3,700,136 high quality sequence reads were generated for the dataset with an average of 33,946 reads/sample. Hierarchical clustering of bacterial genera relative abundances identified 4 distinct microbial signatures characterised by high relative abundance of 1. Streptococcus, 2. Lactobacillus and Gardnerella, 3. polymicrobial (including Prevotella), and 4. Corynebacterium and Finegoldia. Prevalences of these groups were similar in control and RPL groups (p = 0.11). Additionally, no association between the bacterial genera groups and elevated ROS, DNA fragmentation, or clinical factors such as age, ethnicity, or semen volume were observed (chi-square tests). At species taxonomy level relative abundance of L. crispatus was higher in controls compared to RPL, but did not withstand false discovery rate correction for multiple testing (p = 0.006, q = 0.67). Higher relative abundance of Microbacterium was detected in semen samples with high DNA fragmentation (p = 8.7E-4, q = 0.08). This relationship was even stronger within the RPL cohort (p = 2.8E-5, q = 0.002). No significant enrichment of specific taxa was observed between high or low ROS samples however, low ROS was associated with Corynebacterium relative abundance &gt;20%.

Limitations, reasons for caution

More patients are required to enhance statistical power. Duplicate sample collection may establish the robustness of seminal compositions observed. Time since last sexual intercourse samples may affect the analysis. Concomitant analysis of the vaginal microbiome of female partners may improve our understanding of how partners may affect each other’s fertility.

Wider implications of the findings

Our data suggests interactions between microbiota composition, ROS and sperm DNA damage which may be implicated in the pathogenesis of recurrent miscarriage. Further studies are needed to determine if seminal microbiota play causal roles in RPL, and whether interventions modifying the seminal microbiome may modify pregnancy outcomes in affected couples

Trial registration number

not applicable

Hypertriton Production in p-Pb Collisions at sqrt[s_{NN}]=5.02 TeV

The study of nuclei and antinuclei production has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy hadronic collisions. The first measurement of the production of _{Λ}^{3}H in p-Pb collisions at sqrt[s_{NN}]=5.02  TeV is presented in this Letter. Its production yield measured in the rapidity interval -1<y<0 for the 40% highest-multiplicity p-Pb collisions is dN/dy=[6.3±1.8(stat)±1.2(syst)]×10^{-7}. The measurement is compared with the expectations of statistical hadronization and coalescence models, which describe the nucleosynthesis in hadronic collisions. These two models predict very different yields of the hypertriton in charged particle multiplicity environments relevant to small collision systems such as p-Pb, and therefore the measurement of dN/dy is crucial to distinguish between them. The precision of this measurement leads to the exclusion with a significance larger than 6.9σ of some configurations of the statistical hadronization model, thus constraining the theory behind the production of loosely bound states at hadron colliders.

Assessment of Food Safety Knowledge, Attitudes and Practices of Food Service Staff in Bangladeshi Hospitals: A Cross-Sectional Study

Food safety knowledge, attitudes and practices among hospital food service staff are crucial in the prevention of foodborne disease outbreaks, as hospitalized patients are more vulnerable to potential hazards. This study, therefore, sought to assess the food safety knowledge, attitudes and practices of food service staff in Bangladeshi hospitals. A cross-sectional study was conducted among 191 food service staff from seven different hospitals in Dhaka and Chattogram from October 2021 to March 2022 using pretested questionnaires. Multiple linear regression was used to identify the factors associated with the food safety knowledge, attitudes and practices. The findings showed moderate knowledge but high levels of attitudes and practices of food safety among hospital food handlers. Food safety knowledge was significantly higher among males, participants from private hospitals and participants working in a hospital that had a food service supervisor and dietitian in charge of food service operations. Moreover, participants from private hospitals and participants working in a hospital that had a food service supervisor and dietitian in charge of food service operations had more positive attitudes and better practices regarding food safety. Hospital management should consider these factors for enhancing food handlers’ knowledge and increase training and supervision on food safety practices to reduce foodborne diseases and outbreaks.