Prevalence and determinants of fetal macrosomia in Bangladesh

Background

Fetal macrosomia, marked by excessive birth weight, is a significant public health issue in developing countries, yet it has received less attention compared to low birth weight. This study aims to determine the prevalence of fetal macrosomia in Bangladesh and its associated factors.

Methods

The study utilized data from 4,754 women with complete birth weight information of their children from the Bangladesh Multiple Indicator Cluster Survey (MICS) -2019, defining fetal macrosomia as newborns with a birth weight ≥4,000 g regardless of gestational age. Bivariate logistic regression assessed associations between independent variables and fetal macrosomia, presenting adjusted odds ratios (AOR) and a 95% confidence interval (CI), while controlling for potential confounders such as women's age, wealth index, education, healthcare utilization, comorbidities, newborn sex, and place of residence.

Results

The prevalence of fetal macrosomia was 11.6%. Significant associations with fetal macrosomia included higher maternal age group (30-34 years) (AOR = 1.36, 95% CI = 1.07-1.74), secondary level of mother's education (AOR = 1.95, 95% CI = 1.43-2.66), experienced physical attacks (AOR = 1.41, 95% CI = 1.06-1.88), hypertension during pregnancy (AOR = 1.54, 95% CI = 1.15-2.07), and rural residence (AOR = 1.25, 95% CI = 1.15-1.49). Female infants had 18% lower odds of being macrosomic compared to male infants (AOR = 0.82, 95% CI = 0.72-0.93).

Conclusion

One in ten infants in Bangladesh are born with macrosomia, necessitating a multi-faceted approach involving improving maternal nutrition, promoting healthy lifestyles, enhancing access to quality prenatal care, and addressing socioeconomic, residential, and healthcare system challenges, underlining the importance of further community-based research to expand the study's scope.

Cushion hypothesis and credit risk: Islamic versus conventional banks from the MENA region

Conventional banks are 'indirectly' allowed to take more risk under the shadow of sovereign guarantees. Banks commit moral hazards as any major banking crisis will be 'cushioned' by deposit insurance and bailed out using the taxpayer's money. This study offers an alternative explanation for the determinants of banks' credit risk, particularly those from the Islamic regions. Although conventional banks and Islamic banks may share state and social cushioning systems, Islamic banks are strictly prohibited by moral and religious principles from gambling with depositors' funds, even if there is a cushion available to bail them out. However, banks belonging to collective societies, such as those in the MENA area, may be inclined to take more risks due to the perception of having a larger safety net to protect them in the event of failure. We analyse these theoretical intersections by utilising a dataset consisting of 320 banks from 20 countries, covering the time span from 2006 to 2021. Our analysis employs a combination of Ordinary Least Squares (OLS), Fixed Effects (FE), and 2-step System-GMM methodologies. Our analysis reveals that Islamic banks are less exposed to credit risk compared to conventional banks. We contend that the stricter ethical and moral ground and multi-layer monitoring system amid protracted geopolitical and post-pandemic crises impacting Islamic countries contribute to the lower credit risk. We examine the consequences for credit and liquidity management in Islamic banks and the risk management strategies employed by Islamic banks, which can serve as a valuable reference for other banks.

Autonomous Triboelectric Smart Textile Sensor for Vital Sign Monitoring

Wearable smart textile sensors for monitoring vital signs are fast, noninvasive, and highly desirable for personalized health management to diagnose health anomalies such as cardiovascular diseases and respiratory dysfunction. Traditional biosignal sensors, with power consumption issues, constrain the use of wearable medical devices. This study introduces an autonomous triboelectric smart textile sensor (AUTS) made of reduced graphene oxide/manganese dioxide/polydimethylsiloxane (RGO-M-PDMS) and polytetrafluoroethylene (TEFLON)-knitted silver electrode, offering promise for vital sign monitoring with self-powering, flexibility, and wearability. The sensor exhibits impressive output performance, with a sensitivity of 7.8 nA/kPa, response time of ≈40 ms, good stability of >15,000 cycles, stretchability of up to 40%, and machine washability of >20 washes. The AUTS has been integrated to the TriBreath respiratory belt for monitoring respiratory signals and pulse strap for pulse signals concurrently at different body pulse points. These sensors wirelessly transmitted the acquired biosignals to a smartphone, demonstrating the potential of a self-powered and real-time vital sign monitoring system.

Capital structure and public corruption among non-financial firms in the MENA region: The impact of the Arab spring

This study investigated the determinants of financing decisions of firms from the Middle East and North Africa (MENA) region, particularly the effect of public corruption on financing decisions and the effect of disorder following the Arab Spring on public corruption-financing structure relationship. The study encompasses a total of 800 business entities from 14 different countries, spanning the time frame of 2005-2018. Data is analyzed through the application of static fixed effects and dynamic GMM-System models. Results indicate that large, tangible companies prefer debt, whereas profitable companies with more room for growth choose equity. Less corruption is associated with increased corporate debt. The use of debt decreased because of the Arab Spring, and corruption's effect on leverage became weaker. The speed of adjustment to the target leverage is comparatively slow for book leverage, while it is significantly greater for market leverage. These outcomes are consistent with the pecking order behavior resulted from increasing information asymmetry, but the tradeoff theory has some support as well. The implications of this study entail the need for enhancing investor protection, strengthening control measures, increasing transparency, and fostering the overall growth of the financial system to facilitate enterprises' use of debt financing, particularly in the post-Arab Spring era. This paper provides fresh empirical evidence demonstrating the effect of the Arab Spring on capital structure and on the relationship between country corruption and capital structure in the MENA region. The paper also expands the body of research on capital structure and corruption across countries by providing empirical findings from a region that has been relatively overlooked in previous scholarly works.

Religiosity, Financial Risk Taking, and Reward Processing: An Experimental Study

The present study investigated the extent to which financial risk-taking (FRT) perspectives and religiosity influenced an individual's performance on financial decision-making tasks under risk and/or uncertainty. It further investigated the potential to measure this interaction using electro-encephalogram (EEG) assessments through reward-related event-related potentials (P3 and FRN). EEG data were collected from 37 participants undergoing four decision-making tasks comprising the Balloon Analogue Risk Task (BART), Iowa Gambling Test (IGT), Mixed-Gamble Loss-Aversion Task (MGLAT), and MGLA-Success Task (MGLAST). The present study found that BART performance may be affected by an interaction of FRT perspectives and religiosity. The physiological effects of task feedback were also distinguished between religious and non-religious individuals objectively with EEG data. Overall, while religiosity and FRT may not significantly influence IGT and MGLA performance, and interact with BART in a complex way, physiological reaction towards feedback after BART performance appears to be strongly affected by religiosity and FRT perspectives.

Determinants of low birth weight and its effect on childhood health and nutritional outcomes in Bangladesh

BACKGROUND

The high incidence of low birth weight (LBW) is associated with an increased risk of infant mortality, adverse pregnancy outcomes for mothers, and a decline in overall health and well-being. The current study aimed to identify the various determinants of LBW and its effect on adverse health and nutritional outcomes of children aged 0-23 months in Bangladesh.

METHODS

Bangladesh Demography and Health Survey (BDHS) 2017-18 data was used. A chi-square test and multivariable logistic regression analysis were used to find out the associations between independent variables and outcomes (e.g., LBW, child illness and undernutrition).

RESULTS

The overall prevalence of LBW among was 16.3%. Mother with no formal education (AOR = 2.64, 95% CI = 0.55-3.30, p = 0.01), female child (AOR = 1.31, 95% CI = 1.04-1.65, p = 0.023); and poorest economic status (AOR = 1.69, 95% CI = 1.13-2.51, p = 0.010), were identified significant determinants of LBW. Of home environment and hygiene factors, unimproved toilet facilities (AOR = 1.38, 95% CI = 1.03-1.84, p = 0.030) had a significant effect on LBW. In addition, children born with LBW were more likely to suffer fever (AOR = 1.26, 95% CI = 1.05-1.60, p = 0.050), stunting (AOR = 2.42, 95% CI = 1.86-3.15, p = < 0.001), wasting (AOR = 1.47, 95% CI = 1.02-2.25 p = 0.049), and underweight (AOR = 3.19, 95% CI = 2.40-4.23, p = < 0.001).

CONCLUSION

One out of five children was LBW in Bangladesh. Maternal education, sex of child, wealth index, and toilet facilities had significant effects on LBW. In addition, LWB contributed to children's poor health and nutritional outcomes. Enhancing maternal pregnancy, and child health outcomes necessitates policies addressing poverty, gender inequality, and social disparities. Key strategies include promoting regular prenatal care, early medical intervention, reproductive health education, and safe hygiene practices. To combat the negative impacts of LBW, a comprehensive strategy is vital, encompassing exclusive breastfeeding, nutritional support, growth monitoring, accessible healthcare, and caregiver education.

Frequency of Hyponatremia in Adults with Acute Bacterial Meningitis

Bacterial meningitis is a life-threatening disease. Bacterial meningitis patients are prone to develop acute hyponatremia. In the central nervous system infection hyponatremia could be due to the Syndrome of Inappropriate Anti Diuretic Hormone secretion. The frequency of hyponatremia in adults with acute bacterial meningitis patients was seen in this study. This cross-sectional study was conducted in the Internal Medicine Department of Mymensingh Medical College Hospital, Mymensingh, Bangladesh from February 2016 to July 2016. A total of 50 patients were enrolled in this study by purposive sampling. Among 50 acute bacterial meningitis patients, 33 (66%) were diagnosed as hyponatremic state. The mean serum sodium level of 33 hyponatremic bacterial meningitis cases was 130.66±2.95 mmol/L. Most of the cases (78.79%) were mild hyponatremic state (130 mmol/L-135 mmol/L) whereas 18.18% were revealed as moderate hyponatremia (125 mmol/L-129 mmol/L). Only 3.03% of cases were presented as severe cases (≤124 mmol/L). The result revealed that a large number of patients with acute bacterial meningitis were suffering from hyponatremia and in the majority of cases were mildly hyponatremic.

Water, Sanitation, and Hygiene (WASH) practices among residents of different slum settlements in a ward of Kolkata: A mixed-methods study

BACKGROUND

Access to safe water, sanitation, and hygiene (WASH) is the most basic need for mankind. Poor WASH practices are associated with various waterborne diseases, especially in developing countries such as India. The aim of the study was to assess WASH practices among residents of different slum settlements in a ward of Kolkata, identify the factors associated with WASH practice, and explore the barriers faced by the families and municipal staff in providing adequate WASH services to the community.

MATERIALS AND METHODS

An observational study, cross-sectional in design with a convergent parallel mixed-methods approach, was conducted in different slum settlements in a ward of Kolkata. Quantitative data were collected by face-to-face interview, spot observation, and measuring the living area, door, and window spaces. Key informant interviews were conducted with the medical officer, ward vector-control coordinator, and municipal waste handlers, in addition to in-depth interviews with respondents who had unsatisfactory WASH practices. SPSS version 25.0 was used to analyze the quantitative data. Qualitative data were analyzed thematically using Atlas.ti 22.

RESULTS

The overall WASH practices were considered satisfactory in 58.8% of the households. Education of the respondents up to the secondary level, presence of overcrowding, and inadequate ventilation in the house had statistically significantly higher odds of unsatisfactory practice. Poor living conditions, difficulty in collecting and storing water, waterlogging, blocked sewage drains, common toilets for men and women, and lack of motivation were the primary obstacles identified by the residents.

CONCLUSION

Unsatisfactory WASH practices were observed among a high proportion of the slum population. Community engagement and education regarding WASH in communities is strongly recommended along with improvement of infrastructure and capacity building.

Age, Gender, and Liver Enzyme Impact Hospital Stay in COVID-19 Minority Patient with Cancer in the USA: Does Race Matters in the Pandemic?

Patients with cancer are known to have a poor prognosis when infected with SARS-CoV-2 infection. We aimed in this study to assess health outcomes in COVID-19 patients with different cancers in comparison to non-cancer COVID-19 patients from different centers in the United States (US). We evaluated medical records of 1,943 COVID-19 Cancer patients from 3 hospitals admitted between December 2019 to October 2021 and compared them with non-cancer COVID-19 patients. Among 1,943 hospitalized COVID-19 patients, 18.7% (n=364) have an active or previous history of cancer. Among these 364 cancer patients, 222 were African Americans (61.7%) and 121 were Caucasians (33.2%). Cancer patients had significantly longer hospitalization compared to controls (8.24 vs 6.7 days). Overall, Lung cancer is associated with high mortality. Patients with a previous history of cancer were more prone to death (p=0.04) than active cancer patients. In univariate and multivariate analyses, predictors of death among cancer patients were male sex, older age, presence of dyspnea, elevated troponin, elevated AST (0.001) and ALT (0.05), low albumin (p=0.04) and mechanical ventilation (p=0.001). Patients with a previous history of cancer were more prone to death when compared to active cancer COVID-19 patients. Early recognition of cancer COVID-19 patients' death-associated risk factors can help determine appropriate treatment and management plans for better prognosis and outcome.

Annual risk of hepatitis E virus infection and seroreversion: Insights from a serological cohort in Sitakunda, Bangladesh

Hepatitis E virus (HEV) is a major cause of acute jaundice in South Asia. Gaps in our understanding of transmission are driven by non-specific symptoms and scarcity of diagnostics, impeding rational control strategies. In this context, serological data can provide important proxy measures of infection. We enrolled a population-representative serological cohort of 2,337 individuals in Sitakunda, Bangladesh. We estimated the annual risks of HEV infection and seroreversion both using serostatus changes between paired serum samples collected 9 months apart, and by fitting catalytic models to the age-stratified cross-sectional seroprevalence. At baseline, 15% (95 CI: 14-17%) of people were seropositive, with seroprevalence highest in the relatively urban south. During the study, 27 individuals seroreverted (annual seroreversion risk: 15%, 95 CI: 10-21%), and 38 seroconverted (annual infection risk: 3%, 95CI: 2-5%). Relying on cross-sectional seroprevalence data alone, and ignoring seroreversion, underestimated the annual infection risk five-fold (0.6%, 95 CrI: 0.5-0.6%). When we accounted for the observed seroreversion in a reversible catalytic model, infection risk was more consistent with measured seroincidence. Our results quantify HEV infection risk in Sitakunda and highlight the importance of accounting for seroreversion when estimating infection incidence from cross-sectional seroprevalence data.

Clinical surveillance systems obscure the true cholera infection burden in an endemic region

Our understanding of cholera transmission and burden largely relies on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serological surveillance provides a complementary approach to monitoring infections, although the link between serologically derived infections and medically attended disease incidence-shaped by immunological, behavioral and clinical factors-remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare-seeking and longitudinal serological data through statistical modeling. Combining the serological trajectories with a reconstructed incidence timeline of symptomatic cholera, we estimated an annual Vibrio cholerae O1 infection incidence rate of 535 per 1,000 population (95% credible interval 514-556), with incidence increasing by age group. Clinic-based surveillance alone underestimated the number of infections and reported cases were not consistently correlated with infection timing. Of the infections, 4 in 3,280 resulted in symptoms, only 1 of which was reported through the surveillance system. These results impart insights into cholera transmission dynamics and burden in the epicenter of the seventh cholera pandemic, where >50% of our study population had an annual V. cholerae O1 infection, and emphasize the potential for a biased view of disease burden and infection risk when depending solely on clinical surveillance data.

Exploring the therapeutic potential of edible vegetables, fruits, and spices against cancer in various cell lines

Cancer is rapidly becoming the leading cause of death globally. This study aimed to identify edible foods with cytotoxic and/or antioxidant activities that can prevent cancer when consumed in a regular diet. Sixty-eight edible foods were purchased from the local market, and the materials were extracted with 80% methanol. The cytotoxic activity of the extracts was evaluated using MTT on HeLa, H2228, HEK293, and H3122 cell lines. To study apoptosis, triple fluorescence labeling with DAPI, Annexin V, and propidium iodide was used. The phenolic content, antioxidant capacity, and free radical scavenging capabilities were studied using conventional spectrophotometric techniques. Among the edible foods, carrot, pointed gourd, wax gourd, ficus, apple, lemon, cumin seed, and white peppercorn showed moderate cytotoxicity in HeLa cells. The growth of HeLa cells was significantly inhibited dose-dependently by tomato, banana, Indian spinach, guava, lemon peel, and coriander (IC50, 24.54, 17.89, 13.18, 9.33, 1.23, and 2.96 µg/mL, respectively). Tomato, Indian spinach, lemon peel, and coriander exerted significant dose-dependent inhibition of H2228, HEK293, and H3122 cell proliferation. The tomato, Indian spinach, lemon peel, and coriander extracts induced HeLa cell apoptosis. White peppercorn, amaranth, apple, wax gourd, cumin seed, taro, and lemon peel contained significant amounts of polyphenols and showed high antioxidant activity. White peppercorn, apple, coriander, lemon peel, and ficus significantly scavenged DPPH free radicals (IC50 values of 10.23, 12.02, 13.49, 13.8, and 14.0 µg/mL, respectively). The overall results suggest that the daily intake of these antioxidant-rich cytotoxic foods can prevent or reduce the risk of cancer.

Formulation and Characterization of Phytosomes as Drug Delivery System of Formononetin: An Effective Anti-Osteoporotic Agent

BACKGROUND

Formononetin (FNT), a methoxy isoflavone, is a potential phytoconstituent utilized for refurbishing fractures in bone tissue. Conceding to its involvement in first-pass metabolism followed by glucuronidation, its absorption efficacy is limited. Hence, it belongs to the BCS class II classification.

OBJECTIVE

We designed the present work to enhance FNT oral bioavailability by using Phospholipids (PL) as a promising carrier. Formononetin Phospholipid Complex (FNT-PC) was prepared by the solvent evaporation method and characterized.

METHODS

FNT-PC was prepared by solvent evaporation method and characterization (FNT-PC) was performed using aqueous/n-octanol solubility and partition coefficient, FTIR, NMR, SEM, and in vivo pharmacokinetic study in female SD rats at 50 mg/kg.

RESULTS

Physicochemical properties like aqueous/n-octanol solubility and partition coefficient were enhanced in FNT-PC. The FTIR spectrum confirmed there was no involvement of functional groups in the preparation of FNT-PC. Whereas, the NMR study resulted in the attachment of carbon (C-8) position of FNT by replacing the quaternary amine of PL to form FNT-PC. When scrutinized for its surface morphology, the FNT-PC exhibited the amorphous geometry that remarkably enhanced the dissolution of FNT (p<0.05) from its pure form. This dissolution effect was also affirmed by the per-oral administration of FNT-PC in female Sprague Dawley (SD) rats at 50 mg/kg dose. The pharmacokinetic profile showed the free FNT levels were markedly increased, correspondingly decreasing the conjugated FNT levels in rat plasma.

CONCLUSION

To summarize, FNT-PC could substantially reduce the first-pass metabolism with enhanced free concentration, improving oral bioavailability for therapeutic use.

Industrially Scalable Piezoresistive Smart-Textile Sensor for Flexible Electronics Application

Industrially scalable pressure-sensitive smart textile sensors have been developed using graphite-polyurethane (G-PU) composite materials by the plasma-assisted dip-pad-dry-cure method. The advantage of this technique is that it is easy, simple, and suitable for high-volume production with industrially available machinery. The sandwich structure sensor has been constructed with the pressure-sensitive textile semiconductor and embroidery electrodes for manufacturing a single sensor and sensor matrix, which can detect touch, pressure, movement, etc., and send information wirelessly (via smartphone) to the user in real-time. The sensibility, hysteresis behavior, repeatability, and stability against washing, martindale abrasion, etc. of the piezoresistive polyester (PES) textile sensor have been optimized by the plasma-assisted semiconductive coating. The smart textile sensor built into this work provides flexibility, breathability, and wearability and can be easily integrated into wearable items allowing for object detection by scanning their weight, movement, interactive floor mate, and seat sensor mate for dynamic posture detection and sensor hand glove to translate finger movement into sign language (e.g., text or audio able). All necessary electronics and software associated with the relevant application have been developed to demonstrate the effectiveness of the products in a real-world demonstration, which encourages the widespread use of smart textile piezoresistive sensors for a variety of applications in flexible electronics sectors.

Prevalence and Determinants of Diarrhea, Fever, and Coexistence of Diarrhea and Fever in Children Under-Five in Bangladesh

Diarrhea and fever are prevalent childhood illnesses with potentially severe consequences, especially when they co-occur. This study investigates the prevalence and determinants of diarrhea, fever, and their coexistence among children under-five in Bangladesh. Data from the 2017-2018 Bangladesh Demography and Health Survey (BDHS) were analyzed using multivariable stepwise logistic regression with backward selection. This study found that 5.0% for diarrhea, 34.0% for fever, and 3.0% for the coexistence of both illnesses. Common factors associated with childhood diarrhea and fever included the child's age (12-23 months), and the mother's education. Diarrhea was associated with households with improved water sources and children in the Barisal division, while fever was linked to underweight children and those from more affluent backgrounds. The coexistence of both was significantly linked to underweight children, higher birth orders, and children from the Rajshahi division. Notably, child illnesses were associated with parental education, higher socio-economic status, and access to improved drinking water sources. Diarrhea affects one in 20 children, fever affects one in three, and the coexistence of both conditions affects one in 35 children in Bangladesh. The findings need further research and policy reviews to develop effective interventions and improve child health in Bangladesh.

Urban-rural difference in factors associated with childhood functional difficulty in Bangladesh: a cross-sectional study

Objective

Early childhood functional difficulty poses a substantial worldwide public health challenge, leading to adverse effects on children's quality of life and overall productivity. Moreover, it represents a significant social and economic problem in Bangladesh. Therefore, the current study aimed to identify factors contributing to childhood functional difficulty in Bangladesh within the context of urban-rural areas.

Methods

A nationally representative cross-sectional survey data from Multiple Indicator Cluster Survey (MICS), 2019 in Bangladesh was used in this study. Chi-square test and multivariable logistic regression analyses were carried out to identify factors associated with childhood functional difficulty.

Results

Functional difficulties were found in approximately 3.3% of children 2-4 years of age in urban areas and 2.5% in rural areas. Having a mother with functional difficulties and undernutrition were identified as significant factors common in both urban and rural areas. Further, mothers who had no formal education (AOR = 2.76, 95%CI = 1.18-6.45) and experienced infant death (AOR = 1.94, 95%CI = 1.01-3.70) were identified as significant factors of functional difficulty in urban areas. On the other hand, in rural areas, no access to mass media, children with acute respiratory infection (ARI) (AOR = 2.13, 95%CI = 1.39-3.28), female sex (AOR = 0.69, 95%CI = 0.53-0.91), child undernutrition (AOR = 1.73, 95%CI = 1.32-2.27) and poorer socio-economic status (AOR = 1.95, 95%CI = 1.08-3.55) were found significant factors.

Conclusion

Functional difficulty was found to be present in one out of every 35 children age 2 to 4 years in Bangladesh. Childhood functional difficulties were reported slightly higher in urban areas as compared to rural areas. Reducing childhood difficulties in urban areas demands comprehensive strategies: quality healthcare, inclusive education, community support, better information systems, and collaboration. To achieve urban-rural parity in child health, address disparities in economic development, healthcare, and education, especially for girls.

Adverse childhood experiences and association with poorer health and health-harming behaviours in adulthood among the Americans

BACKGROUND

Adverse childhood experiences (ACEs) such as abuse and neglect have an immediate impact on children and are associated with poorer health and behavioural outcomes in adulthood. This study examined the prevalence of ACEs and their association with socio-demographic factors, physical and mental health, morbidity and health-harming behaviours in adulthood among Americans.

METHOD

Data for the study come from the 2019 Behavioral Risk Factor Surveillance System (BRFSS), covering a sample of 116 032 adult respondents from 22 states of the United States. Descriptive and inferential statistical techniques, including multiple logistic regression models, were employed to analyse the data.

RESULTS

At least one kind of ACE was found to be quite common among American adults, as 60% of adults had at least one kind of ACE, 22.5% had one ACE and 17% had four or more ACEs during 0-17 years of life. Of the total ACEs, 42.2% were due to abuse (physical, emotional or sexual), and 46% were due to any kind of household dysfunction. There is an increasing trend in ACEs in the United States. Adults with low socio-economic status, female, living in urban areas, gay or bisexual orientation, minority other than White and unemployed had a significantly higher prevalence of ACEs than their counterparts. ACEs were found to be significantly associated with poor physical and mental health; health-harming behaviours such as binge drinking, heavy drinking and smoking; and chronic morbidities.

CONCLUSION

Programmes aimed at reducing ACEs and mitigating the harms of ACEs among those who have already experienced them should be strengthened to improve public health and quality of life and reduce health-harming behaviours.

Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions

OBJECTIVE

Physical inactivity is a leading modifiable cause of death and disease worldwide. Population-based interventions to increase physical activity are needed. Existing automated expert systems (e.g., computer-tailored interventions) have significant limitations that result in low long-term effectiveness. Therefore, innovative approaches are needed. This special communication aims to describe and discuss a novel mHealth intervention approach that proactively offers participants with hyper-personalised intervention content adjusted in real-time.

METHODS

Using machine learning approaches, we propose a novel physical activity intervention approach that can learn and adapt in real-time to achieve high levels of personalisation and user engagement, underpinned by a likeable digital assistant. It will consist of three major components: (1) conversations: to increase user's knowledge on a wide range of activity-related topics underpinned by Natural Language Processing; (2) nudge engine: to provide users with hyper-personalised cues to action underpinned by reinforcement learning (i.e., contextual bandit) and integrating real-time data from activity tracking, GPS, GIS, weather, and user provided data; (3) Q&A: to facilitate users asking any physical activity related questions underpinned by generative AI (e.g., ChatGPT, Bard) for content generation.

RESULTS

The detailed concept of the proposed physical activity intervention platform demonstrates the practical application of a just-in-time adaptive intervention applying various machine learning techniques to deliver a hyper-personalised physical activity intervention in an engaging way. Compared to traditional interventions, the novel platform is expected to show potential for increased user engagement and long-term effectiveness due to: (1) using new variables to personalise content (e.g., GPS, weather), (2) providing behavioural support at the right time in real-time, (3) implementing an engaging digital assistant and (4) improving the relevance of content through applying machine learning algorithms.

CONCLUSION

The use of machine learning is on the rise in every aspect of today's society, however few attempts have been undertaken to harness its potential to achieve health behaviour change. By sharing our intervention concept, we contribute to the ongoing dialogue on creating effective methods for promoting health and well-being in the informatics research community. Future research should focus on refining these techniques and evaluating their effectiveness in controlled and real-world circumstances.

Effects of acne severity and acne-related quality of life on depressive symptoms among adolescents and young adults: a cross-sectional study in Bangladesh

INTRODUCTION

Depression is a common mental health disorder and one of the major causes of disability. This study aimed at investigating the relationship of acne severity and acne-related quality of life with depressive symptoms, and the mediating effect of acne-related quality of life in a relationship between acne severity and depressive symptoms.

METHODS

This is a cross-sectional study. Data were collected from acne patients attending a tertiary-level hospital, using a questionnaire that comprised three validated instruments - Investigator's Global Assessment (a single item) scale, Cardiff Acne Disability Index, and Beck Depression Inventory for measuring acne severity, acne-related quality of life, and depressive symptoms, respectively. Logistic regression and linear regression were used to examine the association between acne severity and depressive symptoms and a correlation between the acne-related quality of life and depressive symptoms, respectively. A mediation analysis was also performed to see the mediation effects of acne-related quality of life in a relationship between acne severity and depressive symptoms.

RESULTS

A total of 185 acne patients (155 females, 83.8%) with a mean age was 22.55 ± 8.67 years were included in the study. Adolescents and young adults with severe and moderate acne had 6.14-and 2.28 times higher odds of depression compared to their peers with mild acne, respectively. Patients with low levels of acne-related quality of life had a higher level of depressive symptoms (β = 0.42, p < 0.001). The total effect (direct + indirect) was also significant (β = 0.27, 95% CI: 1.29-4.09), implying the effect of acne severity on depression.

CONCLUSION

The present study suggests that acne severity and acne-related quality of life were associated with depressive symptoms among patients with acne vulgaris. The study also indicates that the relationship between acne severity and depressive symptoms might occur through a chain-mediating effect of acne disability in this population.

Estimating the gap between clinical cholera and true community infections: findings from an integrated surveillance study in an endemic region of Bangladesh

Our understanding of cholera transmission and burden largely rely on clinic-based surveillance, which can obscure trends, bias burden estimates and limit the impact of targeted cholera-prevention measures. Serologic surveillance provides a complementary approach to monitoring infections, though the link between serologically-derived infections and medically-attended disease - shaped by immunological, behavioral, and clinical factors - remains poorly understood. We unravel this cascade in a cholera-endemic Bangladeshi community by integrating clinic-based surveillance, healthcare seeking, and longitudinal serological data through statistical modeling. We found >50% of the study population had a V. cholerae O1 infection annually, and infection timing was not consistently correlated with reported cases. Four in 2,340 infections resulted in symptoms, only one of which was reported through the surveillance system. These results provide new insights into cholera transmission dynamics and burden in the epicenter of the 7th cholera pandemic and provide a framework to synthesize serological and clinical surveillance data.

Prevalence and factors associated with severe undernutrition among under-5 children in Bangladesh, Pakistan, and Nepal: a comparative study using multilevel analysis

Despite economic growth and poverty reduction, under-5 child undernutrition is still rampant in South Asian countries. This study explored the prevalence and risk factors of severe undernutrition among under-5 children in Bangladesh, Pakistan, and Nepal for comparison using the Composite Index of Severe Anthropometric Failure. We utilised information on under-5 children from recent Demographic Health Surveys. We used multilevel logistic regression models for data analysis. The prevalence of severe undernutrition among under-5 children was around 11.5%, 19.8%, and 12.6% in Bangladesh, Pakistan, and Nepal, respectively. Children from the lowest socioeconomic quintile, and children born with low birth weight were key factors associated with severe undernutrition in these countries. The factors, parental education, maternal nutritional status, antenatal and postnatal care, and birth order were not homogeneous in explaining the determinants of child severe undernutrition across the countries. Our results suggest that the poorest households, and low birth weight of children have significant effects on severe undernutrition among under-5 children in these countries, which should be considered to formulate an evidence-based strategy to reduce severe undernutrition in South Asia.

RNA- and ATAC-sequencing Reveals a Unique CD83+ Microglial Population Focally Depleted in Parkinson's Disease

All brain areas affected in Parkinson's disease (PD) show an abundance of microglia with an activated morphology together with increased expression of pro-inflammatory cytokines, suggesting that neuroinflammation may contribute to the neurodegenerative process in this common and incurable disorder. We applied a single nucleus RNA- and ATAC-sequencing approach using the 10x Genomics Chromium platform to postmortem PD samples to investigate microglial heterogeneity in PD. We created a multiomic dataset using substantia nigra (SN) tissues from 19 PD donors and 14 non-PD controls (NPCs), as well as three other brain regions from the PD donors which are differentially affected in this disease: the ventral tegmental area (VTA), substantia inominata (SI), and hypothalamus (HypoTs). We identified thirteen microglial subpopulations within these tissues as well as a perivascular macrophage and a monocyte population, of which we characterized the transcriptional and chromatin repertoires. Using this data, we investigated whether these microglial subpopulations have any association with PD and whether they have regional specificity. We uncovered several changes in microglial subpopulations in PD, which appear to parallel the magnitude of neurodegeneration across these four selected brain regions. Specifically, we identified that inflammatory microglia in PD are more prevalent in the SN and differentially express PD-associated markers. Our analysis revealed the depletion of a CD83 and HIF1A- expressing microglial subpopulation, specifically in the SN in PD, that has a unique chromatin signature compared to other microglial subpopulations. Interestingly, this microglial subpopulation has regional specificity to the brainstem in non-disease tissues. Furthermore, it is highly enriched for transcripts of proteins involved in antigen presentation and heat-shock proteins, and its depletion in the PD SN may have implications for neuronal vulnerability in disease.

Delayed cortical development in mice with a neural specific deletion of β1 integrin

The adhesion systems employed by migrating cortical neurons are not well understood. Genetic deletion studies of focal adhesion kinase (FAK) and paxillin in mice suggested that these classical focal adhesion molecules control the morphology and speed of cortical neuron migration, but whether β1 integrins also regulate migration morphology and speed is not known. We hypothesized that a β1 integrin adhesion complex is required for proper neuronal migration and for proper cortical development. To test this, we have specifically deleted β1 integrin from postmitotic migrating and differentiating neurons by crossing conditional β1 integrin floxed mice into the NEX-Cre transgenic line. Similar to our prior findings with conditional paxillin deficiency, we found that both homozygous and heterozygous deletion of β1 integrin causes transient mispositioning of cortical neurons in the developing cortex when analyzed pre- and perinatally. Paxillin and β1 integrin colocalize in the migrating neurons and deletion of paxillin in the migrating neuron causes an overall reduction of the β1 integrin immunofluorescence signal and reduction in the number of activated β1 integrin puncta in the migrating neurons. These findings suggest that these molecules may form a functional complex in migrating neurons. Similarly, there was an overall reduced number of paxillin+ puncta in the β1 integrin deficient neurons, despite the normal distribution of FAK and Cx26, a connexin required for cortical migration. The double knockout of paxillin and β1 integrin produces a cortical malpositioning phenotype similar to the paxillin or β1 integrin single knockouts, as would be expected if paxillin and β1 integrin function on a common pathway. Importantly, an isolation-induced pup vocalization test showed that β1 integrin mutants produced a significantly smaller number of calls compared to their littermate controls when analyzed at postnatal day 4 (P4) and revealed a several days trend in reduced vocalization development compared to controls. The current study establishes a role for β1 integrin in cortical development and suggests that β1 integrin deficiency leads to migration and neurodevelopmental delays.