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<title>2023</title>
<link href="https://repository.auw.edu.bd/handle/123456789/818" rel="alternate"/>
<subtitle/>
<id>https://repository.auw.edu.bd/handle/123456789/818</id>
<updated>2026-06-09T23:47:52Z</updated>
<dc:date>2026-06-09T23:47:52Z</dc:date>
<entry>
<title>Clustering of metabolic and behavioural risk factors for cardiovascular diseases among the adult population in South and Southeast Asia: findings from WHO STEPS data</title>
<link href="https://repository.auw.edu.bd/handle/123456789/987" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/987</id>
<updated>2026-02-18T06:15:27Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">Clustering of metabolic and behavioural risk factors for cardiovascular diseases among the adult population in South and Southeast Asia: findings from WHO STEPS data
Biswas, Tuhin
Background The aim of this study is to assess the current status of metabolic and behavioural risk factors for car-&#13;
diovascular diseases among the adult population in South and Southeast Asia using World Health Organization&#13;
&#13;
(WHO) STEPS data.&#13;
Methods We used WHO STEPS surveys data in ten South and Southeast Asian countries. Weighted mean estimates&#13;
of prevalence of five metabolic risk factors and four behavioural risk factors were calculated by country and overall&#13;
region. We used random-effects meta-analysis to generate country and regional pooled estimates of metabolic and&#13;
behavioural risk factors, using the DerSimonian and Laird inverse-variance method.&#13;
Finding Around 48,434 participants aged 18–69 years were included in this study. Overall 32.00% (95% CI:&#13;
31.15–32.36) of individuals in the pooled sample had one metabolic risk factor, 22.10% (95% CI: 21.73–22.47) had&#13;
two, and 12.38% had three or more (95% CI: 9.09–14.00). Twenty-four percent (95% CI: 20.00–29.00) of individuals&#13;
in the pooled sample had only one behavioural risk factor, 49.00% (95% CI: 42.00–56.00) had two, and 22.00% had&#13;
three or more (95% CI: 16.00–29.00). Risk of high three or more metabolic risk factors was higher among women,&#13;
those of older age, and those with a higher education.&#13;
Interpretation The existence of multiple metabolic and behavioural risk factors among the South and Southeast Asian&#13;
population demand appropriate prevention strategies to halt the progress of non-communicable disease burden&#13;
within the region.&#13;
Funding Not applicable.
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>The myth and reality of familial resemblance in dietary intake: a systematic review and meta-analysis on the resemblance of dietary intake among parent and offspring</title>
<link href="https://repository.auw.edu.bd/handle/123456789/986" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/986</id>
<updated>2026-02-18T06:14:57Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">The myth and reality of familial resemblance in dietary intake: a systematic review and meta-analysis on the resemblance of dietary intake among parent and offspring
Biswas, Tuhin
Background There is a strong societal belief that parents are role models for their child’s dietary behaviours in early&#13;
life that may persist throughout the life course. Evidence has shown inconclusive dietary resemblance in parent-child&#13;
(PC) pairs. This systematic review and meta-analysis aimed to examine dietary resemblance between parent and&#13;
children.&#13;
Methods We systematically searched for studies on PC dietary resemblance, via six electronic databases (PubMed,&#13;
Ovid MEDLINE, Embase, APA PsycNet, CINAHL, and Web of Science) and other grey sources of literature between&#13;
1980 and 2020. We performed quality effect meta-analysis model on transformed correlation coefficients (z) to&#13;
examine the resemblance in dietary intakes including nutrient intakes, food group intakes and whole diet. Finally,&#13;
the Fisher’s transformed coefficient (z) was used for meta-regression analysis to identify potential moderators.&#13;
Heterogeneity and inconsistency were examined using the Q and I2 statistic. The study is registered on&#13;
PROSPERO, CRD42019150741.&#13;
Findings A total of 61 studies met the inclusion criteria for systematic review, 45 were included in the meta-analysis.&#13;
Pooled analyses showed weak to moderate PC dietary intake associations for energy: (r: 0.19; 95% CI: 0.16, 0.22), fat&#13;
(% energy): (r: 0.23; 95% CI: 0.16, 0.29), protein (% energy): (r: 0.24; 95% CI: 0.20, 0.27), carbohydrate (% energy): (r:&#13;
0.24; 95% CI: 0.19, 0.29), fruits and vegetable (g/d): (r: 0.28; 95% CI: 0.25, 0.32), confectionary food (g/d): (r: 0.20;&#13;
95% CI: 0.17, 0.23), and whole diet (r: 0.35; 95% CI: 0.28, 0.42). Dietary intakes associations by study&#13;
characteristics, including population, study year, dietary assessment method, person reporting dietary intake,&#13;
quality of the study, and study design were highly variable, but associations were similar between PC pairs.&#13;
Interpretation The resemblance among parent-child pairs was weak to moderate for most aspects of dietary intakes.&#13;
These findings challenge the social myth that parental dietary intake behaviour shapes their child’s dietary intake.
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Time trends, projections, and spatial distribution of low birthweight in Australia, 2009–2030: Evidence from the National Perinatal Data Collection</title>
<link href="https://repository.auw.edu.bd/handle/123456789/985" rel="alternate"/>
<author>
<name>Nazim Uddin, Sayed Mohammad</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/985</id>
<updated>2026-02-18T06:14:56Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">Time trends, projections, and spatial distribution of low birthweight in Australia, 2009–2030: Evidence from the National Perinatal Data Collection
Nazim Uddin, Sayed Mohammad
Introduction: Infants with low birthweight (LBW, birthweight &lt;2500 g) have&#13;
increased in many high-resource countries over the past two decades. This study&#13;
aimed to investigate the time trends, projections, and spatial distribution of LBW&#13;
in Australia, 2009–2030.&#13;
Methods: We used standard aggregate data on 3 346 808 births from 2009 to 2019&#13;
from Australia's National Perinatal Data Collection. Bayesian linear regression&#13;
model was used to estimate the trends in the prevalence of LBW in Australia.&#13;
&#13;
Results: Wefound that the prevalence of LBW was 6.18% in 2009, which has in-&#13;
creased to 6.64% in 2019 (average annual rate of change, AARC = +0.76%). If the&#13;
&#13;
national trend remains the same, the projected prevalence of LBW in Australia&#13;
will increase to 7.34% (95% uncertainty interval, UI = 6.99, 7.68) in 2030.&#13;
Observing AARC across different subpopulations, the trend of LBW was stable&#13;
&#13;
among Indigenous mothers, whereas it increased among non-Indigenous moth-&#13;
ers (AARC = +0.81%). There is also an increase among the most disadvantaged mothers (AARC = +1.08%), birthing people in either of two extreme age groups&#13;
(AARC = +1.99% and +1.53% for &lt;20 years and≥40 years, respectively), and&#13;
mothers who smoked during pregnancy (AARC = +1.52%). Spatiotemporal maps&#13;
showed that some of the Statistical Area level 3 (SA3) in Northern Territory and&#13;
&#13;
Queensland had consistently higher prevalence for LBW than the national aver-&#13;
age from 2014 to 2019.&#13;
&#13;
Conclusion: Overall, the prevalence of LBW has increased in Australia during&#13;
2009–2019; however, the trends vary across different subpopulations. If trends&#13;
persist, Australia will not achieve the Sustainable Development Goals (SDGs)&#13;
target of a 30% reduction in LBW by 2030. Centering and supporting the most&#13;
vulnerable subpopulations is vital to progress the SDGs and improves perinatal&#13;
and infant health in Australia.
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Adverse childhood experiences, the risk of pregnancy complications and adverse pregnancy outcomes: a systematic review and meta-analysis</title>
<link href="https://repository.auw.edu.bd/handle/123456789/984" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/984</id>
<updated>2026-02-18T06:15:10Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">Adverse childhood experiences, the risk of pregnancy complications and adverse pregnancy outcomes: a systematic review and meta-analysis
Biswas, Tuhin
Background Adverse childhood experiences (ACEs)&#13;
have a profound negative impact on health. However, the&#13;
strength of the association between ACEs and pregnancy&#13;
complications and adverse pregnancy outcomes is not well&#13;
quantified or understood.&#13;
&#13;
Objective To conduct a systematic review and meta-&#13;
analysis of the association between ACEs and risk&#13;
&#13;
of pregnancy complications and adverse pregnancy&#13;
outcomes.&#13;
Search strategy A comprehensive search was conducted&#13;
using PubMed, Embase, CINAHL, PsycINFO, ClinicalTrials.&#13;
gov and Google scholar up to July 2022.&#13;
Data collection and analysis Two reviewers&#13;
independently conducted the screening and quality&#13;
appraisal using a validated tool. Meta-analysis using the&#13;
quality-effects model on the reported odds ratio (OR)&#13;
was conducted. Heterogeneity and inconsistency were&#13;
examined using the I2&#13;
statistics.&#13;
&#13;
Results 32 studies from 1508 met a priori inclusion&#13;
criteria for systematic review, with 21 included in the&#13;
meta-analysis. Pooled analyses showed that exposure&#13;
to ACEs increased the risk of pregnancy complications&#13;
(OR 1.37, 95% CI 1.20 to 1.57) and adverse pregnancy&#13;
outcomes (OR 1.31, 95% CI 1.17 to 1.47). In sub-group&#13;
analysis, maternal ACEs were associated with gestational&#13;
diabetes mellitus (OR 1.39, 95% CI 1.11 to 1.74), antenatal&#13;
depression (OR 1.59, 95% CI 1.15 to 2.20), low offspring&#13;
birth weight (OR 1.27, 95% CI 1.02 to 1.47), and preterm&#13;
delivery (OR 1.41, 95% CI 1.16 to 1.71).&#13;
Conclusion The results suggest that exposure to ACEs&#13;
increases the risk of pregnancy complications and adverse&#13;
pregnancy outcomes. Preventive strategies, screening and&#13;
trauma-informed care need to be examined to improve&#13;
maternal and child health.
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
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