Impaired fetal development is associated with a number of adult chronic diseases and it is believed that these associations arise as a result of the phenomenon of prenatal programming, which involves persisting changes in structure and function of various body organs caused by ambient factors during critical and vulnerable periods of early development. The main goal of the study was to assess the association between lung function in early childhood and prenatal exposure to fine particulate matter (PM(2.5)), which represents a wide range of chemical compounds potentially hazardous for fetal development. Among pregnant women recruited prenatally to the study, personal measurements of PM(2.5) were performed over 48 h in the second trimester of pregnancy. After delivery, infants were followed for 5 years; the interviewers visited participants in their homes to record children's respiratory symptoms every 3 months in the child's first 2 years of life and every 6 months thereafter. In the fifth year of the follow-up, children were invited for standard lung function testing of levels of forced vital capacity (FVC), forced expiratory volume in 1 s (FEV(1)) and forced expiratory volume in 0.5 s (FEV(0.5)). There were 176 children of non-smoking mothers, who performed at least two acceptable spirometry measurements. Multivariable linear regression showed a significant deficit of FVC at the highest quartile of PM(2.5) exposure (beta coefficient = -91.9, P = 0.008), after adjustment for covariates (age, gender, birthweight, height and wheezing). Also FEV(1) level in children was inversely correlated with prenatal exposure to PM(2.5), and the average FEV(1) deficit amounted to 87.7 mL (P = 0.008) at the higher level of exposure. Although the effect of PM(2.5) exposure on FEV(0.5) was proportionally weaker (-72.7, P = 0.026), it was also statistically significant. The lung function level was inversely and significantly associated with the wheezing recorded over the follow-up. The findings showed that significant lung function deficits in early childhood are associated with prenatal exposure to fine particulate matter, which may affect fetal lung growth.
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http://dx.doi.org/10.1111/j.1365-3016.2010.01136.x | DOI Listing |
Cancer Med
January 2025
The Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah, USA.
Introduction: The purpose of this study was to evaluate the association between body composition, overall survival, odds of receiving treatment, and patient-reported outcomes (PROs) in individuals living with metastatic non-small-cell lung cancer (mNSCLC).
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J Phys Ther Sci
January 2025
Center for Frontier Medical Engineering, Chiba University, Japan.
[Purpose] The safety and physiological effects of combined training with breathing resistance and sustained physical exertion in middle-aged and older adults remain unclear. This pilot study investigated the safety and physiological benefits of this training method in older adults. [Participants and Methods] Participants aged 55-75 without respiratory, circulatory, or metabolic diseases were randomly divided into two groups: a combined breathing and physical training group and a control group.
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January 2025
Rehabilitation Unit, Asahikawa Medical University Hospital: 2-1-1-1 Midorigaokahigashi, Asahikawa-shi, Hokkaido 078-8510, Japan.
[Purpose] Rehabilitation can improve physical function and quality of life in patients with advanced cancer. However, relevant studies on advanced lung cancers are limited. Differences in physical function and symptoms based on the treatment phase should be considered.
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Faculty of Engineering and Computing, Liwa College, Abu Dhabi, United Arab Emirates.
The evolution of artificial intelligence (AI) has revolutionised numerous aspects of our daily lives, with profound implications across various sectors, including healthcare. Although the concept of AI in healthcare was introduced in the early 1970s, the integration of this technology in healthcare is still in the evolution phase. Despite barriers, the current decade is witnessing an increased utility of AI into diverse specialities of the medical field to enhance precision medicine, predict diagnosis, therapeutic results, and prognosis; this includes respiratory medicine, critical care, and in their allied specialties.
View Article and Find Full Text PDFFront Pediatr
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Paediatrics and Paediatric Respirology, National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.
Ataxia-telangiectasia (A-T) is an ultrarare autosomal recessive disorder and occurs in all racial and ethnic backgrounds. Clinically, children and young people with A-T are affected by sinopulmonary infections, neurological deterioration with concomitant bulbar dysfunction, increased sensitivity to ionizing radiation, immunodeficiency, a decline in lung function, chronic liver disease, endocrine abnormalities, cutaneous and deep-organ granulomatosis, and early death. Pulmonary complications become more frequent in the second decade of life and are a leading cause of death in individuals with A-T.
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