Conectar
by Annur Ferdous, Munira Jahan Raisa, Md Hijbullah, Nafiz Imtiaz Siam, Shatabdy Barua Trisha, Sadia Biswas Mumu, Md Aminul Haque, Javed Ibne Hasan, Muhammed Mahfuzur Rahman, Md Shaki Mostaid
Background/ObjectivesObesity is a chronic metabolic disorder, and its prevalence in Bangladesh is increasing at an alarming rate. Previous reports have suggested a significant association between Vitamin D receptor (VDR) gene polymorphisms and obesity, but with inconsistent results. The purpose of our study was to investigate the association between two single-nucleotide polymorphisms (SNPs) (Apal, rs7975232, and Taql, rs731236) of the VDR gene and the risk of obesity in the Bangladeshi population. Moreover, we looked at serum VDR levels and serum 25-hydroxy vitamin D levels in people with obesity (n = 124) and healthy controls (n = 126).
MethodsGenotyping was performed using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP). General linear model and multivariate logistic regression analysis were used to calculate the adjusted odds ratio (OR) along with 95% confidence intervals (CI) and P-values.
ResultsSerum VDR level was downregulated in people with obesity compared to healthy controls (P A) polymorphism, the CA Heterozygous genotype carried a 1.93-fold higher risk of developing obesity (OR=1.93, 95% CI = 1.10–3.41, P = 0.023). On the contrary, for TaqI, rs731236 (T > C), no significant association was found for both heterozygous and mutant homozygous genotypes.
ConclusionWe report the downregulation of serum VDR levels and serum 25-hydroxy vitamin D levels in people with obesity. Moreover, a polymorphism of Apal (rs7975232 C > A) in the VDR gene increases the risk of developing obesity in the Bangladeshi population.
by Ismat Tasnim, Md. Asif Iqbal, Ismat Ara Begum, Mohammad Jahangir Alam, Morten Graversgaard, Paresh Kumar Sarma, Kiril Manevski
Food insecurity and agriculture in South Asia, including Bangladesh, pose significant threats to the well-being and livelihoods of its people. Building adaptive capacities and resilient food systems is crucial for sustainable livelihoods. This study employs the Resilience Index Measurement and Analysis II framework to construct a Resilience Capacity Index (RCI) and analyze its relationship with food security using data from the Bangladesh Integrated Household Survey 2018. The study applies Exploratory Factor Analysis and Structural Equation Modeling to examine the impact of key resilience components such as Access to Basic Services, Adaptive Capacity, and Assets on household resilience. The findings reveal that access to basic services, land assets, and farm equipment positively influences households’ resilience capacity. However, the presence of livestock assets has a negative impact, potentially due to market volatility, climate vulnerability, and disease outbreaks. Additionally, adaptive capacity has a positive but insignificant influence on RCI, suggesting that without enhancing economic opportunities, institutional support, and inclusive development strategies, adaptive capacity could not be enough to foster resilience. However, resilient capacity enhances food security metrics such as the Food Consumption Score and Expenditure. These findings underscore the importance of policies that focus on increasing and maintaining access to basic services, promoting sustainable land management practices, and strengthening social safety nets. This study emphasizes the importance of focusing on livestock assets to ensure their sustainability by stabilizing the livestock market, improving veterinary services, and providing subsidies to reduce maintenance costs.
Alzheimer’s disease (AD) impacts over 55 million individuals worldwide and remains the leading cause of dementia (60–70% of cases). By 2050, South and Southeast Asia are projected to have an older adult population more than double, bearing a major share of Alzheimer’s disease burden. This will exert a heavy strain on healthcare systems, particularly in resource-limited countries where support and infrastructure are already stretched. Despite this, no review has yet explored the regional epidemiology and associated risk factors in this context. Thus, this study protocol outlines to synthesise prevailing evidence from these densely populated regions, particularly low- and middle-income nations within South and Southeast Asia.
This review will include studies that reported epidemiological characteristics including prevalence, age of onset, mortality, and risk factors of AD and related dementias comprising in South and Southeast Asian regions. Studies published in any language from inception to date will be extracted from PubMed, Scopus, CINAHL, EMBASE and APA PsycNet, following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We will also search grey literature sources and screen the reference lists of the articles selected for full-text review to identify additional relevant studies. Observational studies including case–control, cohort, and cross-sectional designs reporting desired outcomes will be included and appraised for quality assessment with the modified Newcastle-Ottawa Scale (mNOS). The included articles will be appraised by two independent reviewers, with a third resolving any conflicts. Pooled estimates of prevalence, age of onset and mortality will be analysed using random effect meta-analysis (REML) model. Associated risk factors, including modifiable and non-modifiable will be narratively synthesised. Forest plots will be used to visualise the findings, and heterogeneity across the included studies will be assessed using the I² and Cochrane’s Q statistics. Potential publication bias will be assessed using a funnel plot along with the Begg’s and Egger’s tests. Sensitivity and subgroup analyses will also be conducted to assess the robustness of pooled estimates and to explore potential sources of heterogeneity. Statistical analysis will be conducted using Rstudio (v.4.3.2) and GraphPad Prism V.9.0.2.
The systematic review is focused on the analysis of secondary data from published literature; thus, no ethical approval will be needed. The protocol will follow international standard guidelines, findings will be reported in a reputed journal and disseminated through (inter)national conferences, webinars and key stakeholders to inform policy, research and AD management strategies.
CRD 420251047105.
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