In response to the high maternal mortality in Afghanistan, the government emphasised enhancing antenatal care (ANC) coverage to improve skilled birth attendance and reduce maternal mortality. This study aimed to explain how and why ANC interventions worked, for whom, and under what circumstances in Afghanistan between 2000 and 2024.

A rapid realist review was conducted to identify underlying programme theories and examine contextual factors and key mechanisms influencing ANC outcomes, with input from a panel of national experts. Data were extracted using context–mechanism–outcome (CMO) configurations to develop and refine theories for policy recommendations.

From 3502 papers, 1860 duplicates were removed, 63 were screened for full text and 25 were included in the final review. In total, 29 CMOs were inferred across nine interventions, classified at individual, interpersonal, community and institutional levels. We found that ANC interventions could work best by empowering women and healthcare workers (HCWs), involving husbands, hiring female community health workers (CHWs), ensuring regular contact with the same HCWs, endorsing health messages by the government, incentivising CHWs and designing and implementing interventions using participatory approaches. Interventions are less successful when there is a lack of community trust in service quality or HCW qualifications, low decision-making ability among women, discomfort during travel to health facilities, adherence to traditional practices and beliefs, hiring CHWs from outside the community, chronic stress and lack of support among HCWs and unrecognised incentives.

Our evidence synthesis can inform donors, policymakers and implementers on how to design more effective ANC interventions to achieve better health outcomes in Afghanistan. By emphasising intervention evaluation and ANC quality improvement, it highlights the importance of key social elements, such as cultural norms, power dynamics, relationships, beliefs and trust, which are likely to maximise impact. Community involvement is essential for designing and implementing effective and sustainable ANC interventions.

In Bangladesh, evidence on the long-term trajectory of adolescents' sexual and reproductive health (SRH) remains limited, largely due to the lack of longitudinal data to assess the changes over time. To address this gap, the Advancing Sexual and Reproductive Health and Rights (AdSEARCH) project of International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) set up an adolescent cohort study aimed at documenting changes in SRH knowledge, attitudes and practices, and identifying the factors affecting these changes. This article presents the baseline sociodemographic and SRH characteristics of this cohort as a pathway for future analyses.

This cohort study included 2713 adolescents from the Baliakandi Health and Demographic Surveillance System run by icddr,b. The cohort covered three age groups from girls and boys, giving a total of five cohorts: girls aged 12, 14 and 16 years; and boys aged 14 and 16 years. A total of seven rounds of data had been collected at 4-month intervals over 2-years follow-up period.

The majority of adolescents were attending school (90%), and school dropouts were higher among boys. Around 17% of the respondents were involved in income-generating activities, which were mostly boys. Among girls, the mean age of menarche was 12.2 years. Overall, 6% of adolescents had major depressive disorder, with prevalence increasing with age. Gender differences were evident regarding knowledge about conception and contraception. Egalitarian attitudes towards social norms and gender roles were found higher among girls (52%) compared to boys (11%). The majority of adolescents reported experiencing social/verbal bullying (43%), followed by physical violence (38%) and cyberbullying (4%).

This article presents the baseline findings only. A series of papers is in the pipeline for submission to different peer-reviewed journals. The findings from this study will be used to support data-driven policy formulation for future adolescent health programmes.

In critical care, intensive care unit (ICU) staff and physicians often estimate patients' height and weight visually, impacting calculations for cardiac function, ventilation, medication, nutrition and renal function. However, accurate assessment is challenging in critically ill patients. This study evaluates the accuracy of visual estimations by ICU staff.

Descriptive cross-sectional study.

National Institute of Cardiovascular Diseases, Karachi, Pakistan.

We included a convenient sample of adult (≥18 years) cardiac patients admitted to the critical care unit in this study. Patients who refused to give consent, trauma/surgery of lower limbs or patients with below-knee or above-knee amputation were excluded to avoid bias.

A convenient sample of cardiac ICU patients was included. Measured weight (kg) and height (cm) were compared with visual estimations by senior ICU nurse, senior non-ICU nurse, ICU consultants, fellows and residents. Correlation and agreement were analysed using Bland–Altman plots and 95% agreement limits.

A total of 356 patients were evaluated, of whom 204 (57.3%) were male, with a mean age of 55.2 ± 14.3 years. The median SOFA score was 3 [2–5], and 101 patients (28.4%) were on mechanical ventilation. The mean difference between measured and estimated weight by senior non-ICU nurse was 4.7±9.2 [–13.38–22.83] kg, senior ICU nurse was 7.8±9.9 [–11.56–27.12] kg, ICU consultants was 3.0±6.6 [–9.89–15.79] kg, ICU fellow was 3.0±7.1 [–10.88–16.92] kg and ICU resident was 8.0±9.6 [–10.83–26.79] kg. Similarly, the mean difference between measured and estimated height by senior non-ICU nurse was 2.0±7.3 [-12.36–16.34] cm, senior ICU nurse was 2.4±7.5 [–12.19–17.00] cm, ICU consultants was 1.5±5.6 [–9.51–12.48] cm, ICU fellow was 1.1±5.5 [–9.68–11.95] cm and ICU resident was 2.3±8.5 [–14.40–19.01] cm.

The findings indicate that healthcare professionals tend to overestimate both weight and height. The accuracy of these estimations varied among professional groups, underscoring the potential clinical consequences of such errors. This emphasises the need for objective measurements in clinical decision-making.

Perioperative adverse events increase morbidity and mortality. The rate and severity of complications and the risk for subsequent mortality are increased after high-risk procedures and in elevated-risk patients. Over the past decades, a multitude of prognostic studies identified perioperative risk factors at the population level. However, to allow for the advancement of precision surgery strategies, improved risk prediction on the individual patient level is warranted. Comprehensive, consecutive, multisource, structured, high-quality patient-related and procedure-related data sets, together with thorough follow-up and combined with state-of-the-art machine-learning analyses, are needed to facilitate precise prediction of perioperative complications. Therefore, we designed and currently conduct the Heidelberg Perioperative Deep Data study (HeiPoDD). Here, we report the rationale and design of the HeiPoDD study.

HeiPoDD is a prospective, single-centre, exploratory cohort study aiming to build up a large-scale deep-data base and corresponding biomaterial collection. 1040 adult patients planned for elective high-risk, non-cardiac surgery for any indication at Heidelberg University Hospital, Germany will be included. The obtained study-specific data set includes clinical data, lab values, genome- and proteome analysis as well as plasma, serum and peripheral blood mononuclear cells (PBMC) collected before and at days 1, 3 and 7 postsurgery. Urine samples are collected before and at day 1 postsurgery. Structured follow-up for perioperative complications such as redo-surgery, length of intensive care stay or length of hospital stay is conducted at days 30, 90 and 1 year postsurgery and for disease progression and survival after 3 and 5 years postsurgery. All study data will be transferred to the HeiPoDD registry to allow merging with all available routine clinical data from the hospital information system including imaging studies as well as haemodynamic and respiratory biosignals. Biomaterials will be stored in the HeiPoDD biomaterial bank to allow further analyses.

The trial protocol and amendments were approved by the ethics committee of the University of Heidelberg (S-758/2021). The protocol is registered with the German Clinical Trial Register (DRKS00024625). Participating patients’ data will be recorded only in pseudonymised form. After completion of the study, data collected during the study will be kept on file for up to 30 years. Biomedical samples collected during the study and entered into the biobank will be held for the same amount of time. The findings will be disseminated in peer-reviewed academic journals.

Maternal and child health remains a critical public health challenge in developing countries. Annually, an estimated 250 000–280 000 maternal deaths occur, with up to 95% attributed to inadequate access to timely, effective and quality healthcare. While digital health interventions have demonstrated significant potential in improving maternal health services, education and support in high-income settings, their effectiveness, feasibility and broader impact in resource-limited contexts remain understudied.

This systematic review will assess the effectiveness, feasibility and impact of digital health interventions for pregnant women and new mothers in resource-limited settings across developing countries. We will conduct a comprehensive search of MEDLINE (via PubMed), Embase, Scopus, Google Scholar and grey literature sources to identify randomised controlled trials, quasi-experimental studies and observational studies published in any language. The quality of included studies will be assessed using the Cochrane‘s risk of bias tools, RoB 2 for randomised trials and the ROBINS-I tool for non-randomised studies. A standardised data extraction form will be developed, piloted and used to systematically collect study data. We will employ the web-based CADIMA platform to facilitate screening, data extraction and evidence synthesis while minimising bias. Data will be synthesised narratively by summarising study characteristics and, where appropriate, through meta-analysis using random-effects models to calculate pooled effect sizes. Finally, we will evaluate the strength of the evidence for each outcome using the Grading of Recommendations Assessment, Development and Evaluation approach to assess confidence in the findings.

No ethical approval was required for this systematic review, as it uses only previously published data. The findings will be submitted for publication in a peer-reviewed journal and presented at relevant international conferences to disseminate them to the broader academic community. To ensure practical application of our results, we will develop a policy brief summarising key findings and recommendations.

This protocol is registered to PROSPERO, and the registration number is CRD42025631164.

To examine the association between individual social capital and depression in older adults in Iran and to test the hypothesis that higher levels of social capital are inversely associated with depressive symptoms.

Cross-sectional study using baseline data from a longitudinal cohort.

Community-based study conducted in primary care settings across urban and rural areas of Birjand County, Eastern Iran.

A total of 1348 community-dwelling individuals aged 60 years and older were recruited through multistage stratified cluster random sampling. Participants who were bedridden or had end-stage disease (life expectancy

The primary outcome was depression status, measured using the Patient Health Questionnaire 9 items, with a score≥10 indicating depression. The main explanatory variable was social capital, assessed using a validated 69-item questionnaire capturing domains such as collective activity, social trust and network structure. Univariable and multivariable logistic regression analyses were conducted to estimate adjusted ORs and 95% CIs for associations between depression and social capital dimensions. Statistical analyses were performed using Stata V.12.0

Of the total participants, 268 (19.94%) were identified as having depressive symptoms, with a significantly higher prevalence among women (27.44%) compared with men (11.88%). Depression was more prevalent among those in the lowest wealth quintile (32.09%) and individuals with low literacy levels (28.10%). Participation in collective activities was inversely associated with depression in the second (OR=0.62, 95% CI (0.42 to 0.93)), third (OR=0.45, 95% CI (0.29 to 0.71)), fourth (OR=0.59, 95% CI (0.37 to 0.93)) and fifth (OR=0.37, 95% CI (0.22 to 0.61)) quintiles. Social trust was also associated with lower odds of depression in the third (OR=0.62, 95% CI (0.39 to 0.99)) and fourth (OR=0.64, 95% CI (0.42 to 0.97)) quintiles. Furthermore, the second (OR=0.63, 95% CI (0.40 to 0.99)) and fifth (OR=0.38, 95% CI (0.23 to 0.63)) quintiles of social network structure were inversely related to depression. These findings suggest that higher levels of social capital, particularly in terms of collective participation, trust and social networks, are associated with a reduced likelihood of depressive symptoms in older adults.

Higher levels of social capital, particularly collective engagement, interpersonal trust and diverse social networks, are associated with lower odds of depression in older adults. These findings support the need for community-based interventions to strengthen social capital as a strategy for mental health promotion among the elderly in low-income and middle-income settings.

Early pubertal timing has been linked to heightened body dissatisfaction, but previous studies have focused on girls, with small sample sizes and lacking objective measures of pubertal timing. The objective of this study was to examine the association between pubertal timing (age at peak height velocity [aPHV] and age at menarche [AAM] for girls) and body dissatisfaction and self-image in mid-adolescence (age 14).

Prospective cohort study in the UK.

6644 participants (41% male) from the Avon Longitudinal Study of Parents and Children.

Outcomes were measured using the Satisfaction and Dissatisfaction with Body Parts Scale and Self-Image Profile at age 14. Multivariable regression models were adjusted for socioeconomic status and prepubertal body mass index (BMI).

In boys, later aPHV was associated with higher body dissatisfaction (b=0.13 (95% CI 0.09 to 0.18)). In girls, later aPHV was associated with lower body dissatisfaction, but this was attenuated after adjusting for BMI (b=–0.03 (95% CI –0.07 to 0.01)). A negative association was found between AAM and body dissatisfaction (b=–0.06 (95% CI –0.09 to –0.02)). Later aPHV in girls was associated with increased odds of feeling good-looking (OR=1.09 (95% CI 1.01 to 1.19)) and lower odds of feeling different from others (OR=0.91 (95% CI 0.83 to 1.00)). No associations between aPHV and self-image were found in boys.

These findings highlight the need for targeted interventions for adolescent body dissatisfaction.