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        <title>International Journal of Public Health | New and Recent Articles</title>
        <link>https://www.ssph-journal.org/journals/international-journal-of-public-health</link>
        <description>RSS Feed for International Journal of Public Health | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-05-07T22:27:32.724+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609357</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609357</link>
        <title><![CDATA[Japanese version of the motivation to change lifestyle and health behaviors for dementia risk reduction scale: a cross-cultural validation]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Fumiya Nakai</author><author>Toshiro Horigome</author><author>Mayu Fujikawa</author><author>Haruaki Horie</author><author>Masaru Mimura</author><author>Taishiro Kishimoto</author>
        <description><![CDATA[ObjectivesThis study examined the reliability and validity of a Japanese version of the Motivation to Change Lifestyle and Health Behaviors for Dementia Risk Reduction (MCLHB-DRR) scale, which assesses the motivation to change lifestyle and health behavior for preventing major neurocognitive disorder based on the health belief model.MethodsThe scale was translated using Brislin’s translation model. A total of 500 Japanese adults aged 40–89 years were recruited online. The translated version was evaluated for content validity, internal consistency, and test-retest reliability over 2 weeks.ResultsExploratory factor analysis revealed a seven-factor model that explained 58% of the variance. Cronbach’s α was >0.7 for all seven subscales and item–total correlations were significant for all items. Confirmatory factor analysis exhibited a moderate fit, and the factor loadings were significant for all items. ICC (1,1) showed moderate test-retest reliability.ConclusionThe Japanese version of the MCLHB-DRR test showed high reliability and validity among Japanese older adults.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608466</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608466</link>
        <title><![CDATA[Immunization Coverage and Associated Factors Among Children Aged 18 to 72 Months in Communities With High Malaria Transmission, Bioko Island]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Esther Eburi Losoha</author><author>Maria Silvia A. Lopez Mikue</author><author>Guillermo A. García</author><author>Thabith Athuman</author><author>Amanda Ross</author><author>Claudia Daubenberger</author><author>Sonja Merten</author>
        <description><![CDATA[ObjectiveTo estimate routine immunization coverage, compare coverage estimates derived from vaccination cards and caregiver recall, and investigate factors associated with incomplete immunization among children aged 18 months to 6 years in communities with a high malaria prevalence in the Malabo district of Equatorial Guinea.MethodsA cross-sectional survey was nested within a larger study and was conducted between September 2019 and March 2020. Children aged 18 months to 6 years living in 13 malaria-endemic communities in Malabo District, Bioko Island were enrolled. Immunization status was ascertained from vaccination cards or caregiver recall.ResultsOf the 297 children, with verified immunization status, 86 (29%) were fully immunized according to the national schedule. Coverage estimates were similar whether verified by vaccination card (28%, 34/121) or caregiver recall (30%, 52/176). Children aged 18 months and 2 years had higher completion rates than children aged 2–6 years: 45% (39/86) versus 22% (47/211), aOR = 0.42, 95% CI [0.20, 0.87]). The other factors examined (sex, ethnicity andcommunity area) were not significantly associated with immunization status.ConclusionOverall immunization coverage in this population was low. Younger children had higher completion rates, possibly reflecting improved program performance in recent years or differential recall bias. Further community based studies, in both urban and peri-urban areas needed to identify reasons for gaps in vaccination coverage and to inform targeted interventions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608524</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608524</link>
        <title><![CDATA[Comparative analysis of ARIMA and Holt-Winter’s additive models for describing human respiratory syncytial virus activity in Yaoundé, Cameroon]]></title>
        <pubdate>2026-05-06T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Moise Henri Moumbeket-Yifomnjou</author><author>Chavely Gwladys Monamele</author><author>Desmon Toutou Tsafack</author><author>Mohamadou Ripa Njankouo</author><author>Aristide Mounchili-Njifon</author><author>Paul Alain Tagnouokam-Ngoupo</author><author>Abdou Fatawou Modiyinji</author><author>Boyomo Onana</author><author>Richard Njouom</author>
        <description><![CDATA[ObjectivesHuman respiratory syncytial virus (HRSV) is a major cause of respiratory infections in children and older adults. This study compared the Autoregressive Integrative Moving Average (ARIMA) and Holt-Winter’s Additive models to describe HRSV activity in Yaoundé, Cameroon.MethodsIn a three-year retrospective study (July 2020–December 2022), analyzed 1,774 nasopharyngeal samples from patients with severe acute respiratory infections (SARI) and influenza-like illness (ILI) were analysed across five sentinel sites in Yaoundé. The ARIMA model assessed the relationship between HRSV activity and meteorological factors (temperature, humidity, rainfall, solar radiation), while Holt-Winter’s Additive model described HRSV activity without climate variables. Model performance was evaluated using stationary R2 and root mean square error (RMSE).ResultsHRSV was detected in 8.5% (151/1774) samples. Holt-Winter’s model outperformed ARIMA, achieving a stationary R2 of 77.6% and an RMSE of 7.40. ARIMA models for individual climate variables performed poorly (<6% R2), but the combined 12-variable model improved to 56.4% and an RMSE of 12.94.ConclusionHolt-Winter’s model is more effective for predicting HRSV activity. These findings can guide public health interventions to reduce HRSV’s impact in Cameroon.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609757</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609757</link>
        <title><![CDATA[Sleep Disorders: A Blind Spot in Disease Burden Research]]></title>
        <pubdate>2026-05-06T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Luisa Sophie Welter</author><author>Christoph Nissen</author><author>Björn Rasch</author><author>Raphael Heinzer</author><author>Alexandre Nikolaus Datta</author><author>Ester Piovesana</author><author>Martine Bouvier Gallacchi</author><author>Virginie Sterpenich</author><author>Claudio Lino Alberto Bassetti</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609627</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609627</link>
        <title><![CDATA[Smart city development and medical service performance: evidence from a province-level panel study in China]]></title>
        <pubdate>2026-05-04T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Xu Shao</author><author>Xi Liu</author><author>Jie Che</author><author>Bing Yang</author>
        <description><![CDATA[ObjectivesThis study examines whether smart city development is associated with improvements in medical service performance across Chinese provinces, addressing the limited large-scale quantitative evidence on digital governance and healthcare systems in developing-country contexts.MethodsA balanced province-level panel dataset covering 31 provinces in mainland China from 2013 to 2024 was constructed using national statistical yearbooks and official smart city pilot lists. Medical service performance was measured by a composite Medical Service Performance Index (MSPI) capturing healthcare utilization structure, care quality, and preventive health management capacity. Two-way fixed effects models were applied to estimate the association between smart city exposure and healthcare system performance.ResultsHigher smart city exposure is associated with improved medical service performance. In baseline models, smart city exposure is positively related to MSPI (β = 0.182, p < 0.01). Mechanism analyses show improvements in preventive health management (β = 0.184, p < 0.01), care quality (β = 0.135, p < 0.01), and reduced reliance on high-intensity hospital services (β = −0.120, p < 0.01). After accounting for these mechanisms, the direct association becomes statistically insignificant.ConclusionSmart city development is linked to better medical service performance in China, suggesting that digital governance initiatives may strengthen healthcare systems through improved coordination, care quality, and preventive health management.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609678</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609678</link>
        <title><![CDATA[Expanding equity horizons in knowledge sharing: How can global health journals level up?]]></title>
        <pubdate>2026-05-01T00:00:00Z</pubdate>
        <category>Commentary</category>
        <author>Shashika Bandara</author><author>Carmen Sant Fruchtman</author><author>Nandi Joubert</author><author>Lucienne Zinsstag</author><author>Ananya Banerjee</author><author>Isabel Munoz Beaulieu</author><author>Moses Tetui</author><author>Vivian Qiang</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609478</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609478</link>
        <title><![CDATA[The Future of Implementation Science for Public Health and Healthcare: Insights From the Swiss Implementation Science Network (IMPACT) Conference 2024]]></title>
        <pubdate>2026-04-28T00:00:00Z</pubdate>
        <category>Commentary</category>
        <author>Sabina M. De Geest</author><author>Aita Signorell</author><author>Sarah Serhal</author><author>Kaspar Wyss</author><author>Marina Boccardi</author><author>Juliane Mielke</author><author>Suzanne Dhaini</author><author>Bastiaan Van Grootven</author><author>Sophie Gendolla</author><author>Christina Akre</author><author>Carole E. Aubert</author><author>Thekla Brunkert</author><author>Lauren Clack</author><author>Guy Haller</author><author>Cedric Mabire</author><author>Kate Molesworth</author><author>Aimad Ourahmoune</author><author>Jürg Utzinger</author><author>Marie Schneider</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609496</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609496</link>
        <title><![CDATA[Applying Machine Learning to Predict Loss to Follow-Up Among People Living With HIV in Haiti Using a National Electronic Medical Record Cohort]]></title>
        <pubdate>2026-04-28T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Jiaqin Wu</author><author>Bryan Shaw</author><author>Babatunji Oni</author><author>Kurt Jean-Charles</author><author>Darwin Dorestan</author><author>Marie Bien-Aime</author><author>Daphne Compere-Louis</author><author>Venise Dorce</author><author>Vladimy Jean-Pierre</author><author>Marc Elie Joseph</author><author>Nancy Rachel Labbe</author>
        <description><![CDATA[ObjectivesLoss to follow-up (LTFU) among people living with HIV (PLHIV) remains a major barrier to epidemic control. This study developed machine learning (ML) models to forecast individual risk of LTFU using routine electronic medical record (EMR) data.MethodsWe analyzed data from Haiti’s national EMR database, with 115,822 PLHIV receiving antiretroviral therapy (ART) across 167 health facilities from 2018 to 2024. We trained four ML models, including demographic, clinical, and institutional predictors for LTFU. Model performance was assessed across four quarters using F2-score, recall, precision, ROC-AUC, PR-AUC, and calibration. SHAP values were used to interpret key predictors of LTFU risk.ResultsThe CatBoost model trained with weight adjustment performed best across all quarters. The highest F2-score and recall were observed in the first quarter, with modest declines over time. Predictive features with the strongest influence included prior visit and viral load test frequency, ART dispensation patterns, and facility location.ConclusionML models using national EMR data can effectively forecast LTFU risk among PLHIV in Haiti. Incorporating these models into routine care systems can support proactive, tiered interventions to improve retention outcomes.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609829</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609829</link>
        <title><![CDATA[Correction: Moderate Wine Consumption, Defined by the Mediterranean Diet, Is Associated With Delayed Biological Aging in Men From the Moli-Sani Study]]></title>
        <pubdate>2026-04-27T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Simona Esposito</author><author>Augusto Di Castelnuovo</author><author>Simona Costanzo</author><author>Alessandro Gialluisi</author><author>Antonietta Pepe</author><author>Emilia Ruggiero</author><author>Amalia De Curtis</author><author>Sara Magnacca</author><author>Mariarosaria Persichillo</author><author>Francesc Casanovas-Garriga</author><author>Chiara Cerletti</author><author>Maria Benedetta Donati</author><author>Giovanni de Gaetano</author><author>Licia Iacoviello</author><author>Marialaura Bonaccio</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609823</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609823</link>
        <title><![CDATA[Acknowledgement to Reviewers 2025]]></title>
        <pubdate>2026-04-27T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>IJPH Editorial Office </author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608806</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608806</link>
        <title><![CDATA[Addressing Migration Stigma in Latin America Using Mental Health Registry-Based Data]]></title>
        <pubdate>2026-04-23T00:00:00Z</pubdate>
        <category>Commentary</category>
        <author>Franco Mascayano</author><author>Emily Dunkel</author><author>Param Sampat</author><author>Katrina M. Rodriguez</author><author>Rodrigo Casanueva</author><author>Jeanette A. Stingone</author><author>Ezra Susser</author><author>Lawrence H. Yang</author>
        <description><![CDATA[BackgroundLatin America is experiencing unprecedented migration, with millions, including many political refugees, moving within and across the region. This mass migration carries significant mental health implications due to multi-level stressors, including migration-related stigma.Main TextMigration Stigma, in which migrants are labeled as dangerous, criminal, or “other,” drives discrimination and creates structural barriers to mental healthcare, particularly for people with psychosis. This stigma intensifies with intersectionality–factors like ethnicity, gender, or socioeconomic status contribute to greater delays and risk. Although research on migration and psychosis exists–Latin America remains understudied. Population-based registries like Chile’s national registries and Brazil’s 100 Million Cohort offer tools to quantify inequities, identify intervention points, and evaluate policies. Such data can illuminate how stigma and systemic barriers affect care for migrants with psychosis.ConclusionIntegrating registry-based data with anti-stigma strategies and inclusive health policies is critical to ensuring equitable early psychosis care for Latin American migrants.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609400</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609400</link>
        <title><![CDATA[Simulated Improvements in Influence at Work and Reduction in Sickness Absence Among Young Employees: A Nationwide Register-Based Study]]></title>
        <pubdate>2026-04-23T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Jeppe Karl Sørensen</author><author>Jimmi Mathisen</author><author>Jacob Pedersen</author><author>Hermann Burr</author><author>Anders Holm</author><author>Tea Lallukka</author><author>Maria Melchior</author><author>Naja Hulvej Rod</author><author>Reiner Rugulies</author><author>Børge Sivertsen</author><author>Stephen Stansfeld</author><author>Karl Bang Christensen</author><author>Ida Elisabeth Huitfeldt Madsen</author>
        <description><![CDATA[ObjectiveTo estimate the reduction in sickness absence associated with simulated improvements in influence at work (employees’ ability to influence how and when work tasks are performed) among young Danish employees.MethodsWe used register data from the Danish Work Life Course Cohort, which included 301,185 individuals aged 15–30 who entered the labor market between 2010 and 2018 (mean follow-up: 2.6 years). Annual influence at work was assessed using a job-exposure matrix, which assigned an average level of influence based on job title. Inspired by the parametric g-formula, we used Poisson regression to predict sickness absence days under a simulated scenario in which the influence increased by one standard deviation.ResultsHigher influence was associated with fewer days of sickness absence (rate ratio per one-point increase, range 1–5: 0.71, 95% CI 0.66–0.77). Simulating a standard deviation increase in influence corresponded to a reduction of 0.16 days of sickness absence per person annually, which is equivalent to an estimated reduction of 126,400 (3%) days during the follow-up period. The largest reductions were observed in care work and education.ConclusionSimulated improvements in influence at work may lead to meaningful reductions in sickness absence among young employees.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609268</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609268</link>
        <title><![CDATA[Sociodemographic Differences in Smoking Behaviours by Migration Background: Insights From the National Swiss Health Survey]]></title>
        <pubdate>2026-04-20T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Kris Schürch</author><author>Tayisiya Krasnova</author><author>Lyra Egan</author><author>Tara Gückel</author><author>Lily Davidson</author><author>Lars Lenze</author><author>Annika Frahsa</author>
        <description><![CDATA[ObjectivesThis study aimed to examine how migration background is associated with current smoking and whether this relationship varies by sex, age, and education.MethodsWe analysed data from 19,441 participants of the 2022 Swiss Health Survey, an official, national cross-sectional dataset. Current smoking (yes/no) was the outcome, and migration background (none, 1st generation, 2nd or higher generation) the primary exposure. Multivariable logistic regression models adjusted for sociodemographic and behavioural covariates, were followed by stratified analyses by sex, age, and education.ResultsCompared to people without a migration background, the odds of current smoking were elevated among those with a 1st-generation background (OR = 1.42, 95% CI: 1.28–1.49) and 2nd or higher generation (OR = 1.75, 95% CI: 1.48–2.06). Stratified analyses showed that the higher odds of current smoking among people with a migration background were particularly pronounced among younger adults (15–24, 25–34 years), and among people with lower educational attainment.ConclusionMigration background contributes to smoking inequalities in Switzerland and intersects with other social factors, such as age and education. Elevated risks among people with 2nd or higher-generation migration backgrounds in younger age groups and those with lower educational attainment demonstrate the need for culturally adapted, equity-oriented prevention strategies and stronger national tobacco control policies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609319</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609319</link>
        <title><![CDATA[Perceptions and Needs of Primary Healthcare Providers Regarding Electricity Shortages and Blackouts: A Qualitative Study Using a Realistic Narrative Approach]]></title>
        <pubdate>2026-04-20T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Enzo Baquet</author><author>Paul Tarteret</author><author>Agathe Deschamps</author><author>Amel Filali</author><author>Rose-Anna Foley</author><author>Valérie D’Acremont</author>
        <description><![CDATA[ObjectivesTo understand how primary healthcare providers perceive a hypothetical electricity supply interruptions (ESI) situation (electricity shortages and blackouts), and their needs for a better preparation and response.MethodsIn Canton of Vaud, Switzerland, interviews with 16 experts of 13 institutions/organisations involved in ESI management were conducted to develop a locally adapted ESI scenario. Perceived risk, knowledge, capacity to adapt, and needs of 8 private practice physicians and nurses were then explored through semi-structured, scenario-based interviews.ResultsAlthough they considered ESI unlikely and were aware of their heavy dependence on electricity-powered administrative and medical tools, healthcare professionals were willing to continue treating their patients in their own practices or in suitable primary care centres. However, better communication with public health stakeholders, participation in training sessions and to the development of checklists closer to their needs, and a plan indicating them their best possible location would be necessary.ConclusionRedefining the role of primary healthcare providers in crises through better training, information, and integration as cooperative partners could represent a key opportunity to enhance the resilience of the whole healthcare system.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608985</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608985</link>
        <title><![CDATA[How Intrinsic Motivation for Urban Park Visits Is Associated With Residents’ Somatic Health: Roles of Place Satisfaction and Personality Traits]]></title>
        <pubdate>2026-04-17T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Kai Feng</author><author>Shengnan Wang</author><author>JoonChew Dan</author><author>Hao Yang</author><author>Yongxin Li</author><author>Xiaosheng Yu</author>
        <description><![CDATA[ObjectivesRapid urbanization poses significant public health challenges, and urban parks are increasingly recognized for physical and mental health benefits. However, the psychological mechanisms linking urban park visits to health outcomes remain underexplored, particularly the role of intrinsic motivation and individual differences.MethodsDrawing on Self-Determination Theory and personality psychology, a cross-sectional survey of 1,191 park visitors in central China employed validated tools (IMI, PHQ-15, PAS, BFI-2). Moderated mediation analyses were conducted using SPSS and the PROCESS macro.ResultsIntrinsic motivation showed a strong direct association with residents’ somatic health. Place satisfaction partially mediated this relationship, though the indirect effect was modest compared to the direct pathway. Personality traits significantly moderated key pathways: Extraversion weakened the link between intrinsic motivation and place satisfaction, while agreeableness attenuated the somatic health benefits associated with place satisfaction.ConclusionPsychological factors play a crucial role in shaping the association between urban park engagement and somatic health outcomes. These findings suggest that urban park planning should go beyond accessibility and consider motivational and personality-based differences to maximize somatic health benefits. Designing urban parks that foster intrinsic motivation and accommodate diverse personality types may contribute to more effective and equitable public health outcomes.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608945</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608945</link>
        <title><![CDATA[Neighbourhood Socioeconomic Deprivation and Older Adults’ Cognitive Decline in Porto, Portugal: A 13-Year (2005–2018) Longitudinal Analysis Using the Population-Based EPIPorto Cohort]]></title>
        <pubdate>2026-04-15T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Cláudia Jardim Santos</author><author>Carla Moreira</author><author>Ana Isabel Ribeiro</author>
        <description><![CDATA[ObjectivesLiving in socioeconomically deprived areas has been linked to poorer health outcomes, with older adults potentially more vulnerable due to cumulative environmental exposure. This study examined the association between neighbourhood socioeconomic deprivation and cognitive decline among older adults in Porto, Portugal.MethodsWe used data from 486 participants aged ≥50 years in the EPIPorto cohort, each with at least two cognitive assessments between 2005 and 2018. Neighbourhood deprivation was measured using the Portuguese European Deprivation Index; cognitive function was assessed with the Mini-Mental State Examination. Missing data were addressed using multivariate imputation (mice package), and associations were estimated via linear mixed-effects models (lme4 package).ResultsThe average cognitive decline was −0.60 points between assessments (95% CI: −0.82 to −0.37). In unadjusted models, higher neighbourhood deprivation was associated with faster decline (β = −0.18; 95% CI: −0.29 to −0.06), but this was not significant after adjustment (β = 0.00; 95% CI: −0.11–0.12). Greater decline was significantly associated with older age, female sex, and lower education.ConclusionFindings highlight the role of individual sociodemographic factors but indicate no significant association with neighbourhood deprivation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608844</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608844</link>
        <title><![CDATA[Post-Traumatic Stress Disorder Among Undocumented Immigrants. Evidence for the Premier-Pas Survey]]></title>
        <pubdate>2026-04-15T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Constance Prieur</author><author>Vincent Lhote</author><author>Antoine Marsaudon</author><author>Stéphanie Guillaume</author><author>Florence Jusot</author><author>Jérôme Wittwer</author><author>Paul Dourgnon</author>
        <description><![CDATA[ObjectivesUndocumented immigrants are a highly vulnerable population, frequently exposed to violence and trauma in their country of origin, along the migration journey, and in the host country. This study investigates which factors experienced before, during, and after migration influence the development of post-traumatic stress disorder (PTSD). It also investigates whether PTSD relates to high-risk health behaviors in France.MethodsWe relied on a survey representative of undocumented immigrants attending facilities providing assistance to vulnerable populations in Paris and Bordeaux (France). Analyses relied on several multivariate probit models (N = 1,060).ResultsOverall, 54.1% of respondents experienced at least one traumatic event, and 17.2% currently suffer from PTSD. Factors associated with an increase probability to develop PTSD are: coming to France for safety reasons (before migration), entering France without appropriate documentation (during migration), food insecurity and poor housing conditions (after migration). PTSD is also associated with an increase probability to engage in high-risk alcohol consumption.ConclusionAlthough pre-migration factors cannot be addressed by destination-country policies, our findings suggest that interventions targeting deprivation may help reducing PTSD and substance use among undocumented immigrants.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609291</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609291</link>
        <title><![CDATA[Effectiveness of Nutrition-Specific Interventions for Reducing Child Stunting: A Systematic Review of Evidence]]></title>
        <pubdate>2026-04-15T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Eman Salim Ahmed Salim</author><author>Veni Hadju</author>
        <description><![CDATA[ObjectivesThis systematic review aimed to evaluate the effectiveness of nutrition-specific interventions in improving child linear growth and reducing stunting during the first 1,000 days of life.MethodsA systematic review was conducted in accordance with PRISMA 2020 guidelines. Searches were performed in PubMed/MEDLINE, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials for studies published up to September 2025. Randomized controlled trials, cluster-randomized trials, cohort, and quasi-experimental studies assessing nutrition-specific interventions were included. Due to substantial heterogeneity across studies, findings were synthesized narratively.ResultsThirteen studies conducted in Asia, Africa, and Latin America were included. Nutrition-specific interventions, particularly lipid-based nutrient supplements, fortified foods, and food-based strategies, were associated with modest improvements in length-for-age z-scores and reductions in stunting prevalence. Larger effects were observed when interventions were initiated early in life and implemented in settings with high baseline stunting and food insecurity.ConclusionNutrition-specific interventions can contribute to improvements in child linear growth, especially when delivered early and sustained during the first 1,000 days. However, effect sizes vary by context, underscoring the importance of integrated and context-sensitive implementation strategies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609069</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609069</link>
        <title><![CDATA[Timely, Dignified, Efficient: Modernizing Verification of Death in Switzerland]]></title>
        <pubdate>2026-04-14T00:00:00Z</pubdate>
        <category>Young Researcher Editorial</category>
        <author>Sarah Maria Esther Jerjen</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608687</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608687</link>
        <title><![CDATA[Crossing Borders, Missing Data - Cancer Inequities in Displaced and Migrant Populations: A Scoping Review]]></title>
        <pubdate>2026-04-13T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Brandon M. Godinich</author><author>Jourdyn Horton</author><author>Madeline Rodriguez</author><author>Anika Patel</author><author>Jessica Chacon</author>
        <description><![CDATA[ObjectivesTo review recent developments in cancer disparities affecting displaced and migrant populations in the U.S.–Mexico border region and identify barriers in public health and epidemiologic tracking.MethodsA structured scoping review was conducted using peer-reviewed studies and public health data published between 2010 and 2024. Sources included PubMed and governmental and binational public health reports. Inclusion criteria focused on border-specific, cancer-related evidence involving migrant and structurally vulnerable populations.ResultsCancer inequities were commonly associated with limited screening access, underinsurance, fragmented care, and binational surveillance gaps. Environmental and occupational exposures were identified as potential risk factors in border communities. Language barriers and mistrust of health systems limited engagement in preventive services, treatment continuity, and research participation.ConclusionCancer inequities among migrant populations in the U.S.–Mexico border region are closely linked to structural and policy barriers and gaps in cross-border epidemiologic infrastructure. Improved binational surveillance, culturally responsive outreach, and expanded access to screening and timely care may support more equitable cancer control.]]></description>
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