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Objective: This study aimed to determine whether exposure to traffic-related air pollution (TRAP) is associated with depressive symptoms while also characterizing the contribution of key explanatory factors related to sociodemographics and health. In addition, it aimed to also explore the role of reproductive health as a pathway through which exposure to TRAP may relate to depressive symptoms.

Methods: Participants were 688 healthy reproductive-age women in the Ovarian Aging Study.

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Obesity factors into hypertrophic cardiomyopathy (HCM)-related risk as a disease modifying environmental factor. Behaviours such as diet and sleep are seldom reported upon in children with HCM. It was our aim to report on these factors in this population.

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Background: Socioeconomic inequality in infant mortality in the UK is rising. This study aims to identify contributory maternal and pregnancy factors that can explain the known association between area deprivation and infant mortality.

Methods: A cohort study was conducted using Clinical Practice Research Datalink (CPRD) primary care data between 2004 and 2019 linked to the Index of Multiple Deprivation (IMD), and infant mortality from the Office for National Statistics death data.

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Noncommunicable chronic diseases (NCDs) are a rapidly growing global public health concern, posing substantial challenges to healthcare systems. The presence of multiple (≥2) chronic conditions (MCC) exacerbates these challenges. In this study, we constructed an integrated MCC network to comprehensively evaluate the impact of NCD prevalence and associated factors on MCC patterns.

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Does household income predict health and educational outcomes in childhood better than neighbourhood deprivation?

J Public Health (Oxf)

December 2024

Population Policy and Practice Research and Teaching Department, University College London, Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.

Background: Public health research and prevention policies often use the small area Index of Multiple Deprivation (IMD) at neighbourhood level to proxy individual socio-economic status because it is readily available. We investigated what household income adds to IMD in early childhood for predicting adverse health in adolescence.

Methods: Using data from the Millennium Cohort Study, we analysed IMD and self-reported equivalised household income (ages 0-5) to predict outcomes at age 17: poor academic achievement, psychological distress, poor health, smoking, and obesity.

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