Lung function and cognitive ability in children: a UK birth cohort study.

BACKGROUND: Decreased adult lung function is associated with subsequent impairment in cognition. A similar relationship in early life could be of great policy importance, since childhood cognitive ability determines key adult outcomes, including socioeconomic status and mortality. We aimed to expand the very limited data available on this relationship in children, and hypothesised that reduced lung function would be longitudinally associated with decreased cognitive ability. METHODS: Lung function was measured at age 8 (forced expiratory volume in one second (FEV1), forced vital capacity (FVC); % predicted), and cognitive ability was measured at ages 8 (Wechsler Intelligence Scale for Children, third edition) and 15 (Wechsler Abbreviated Scale of Intelligence), in the Avon Longitudinal Study of Parents and Children. Potential confounders were identified as preterm birth, birth weight, breastfeeding duration, prenatal maternal smoking, childhood environmental tobacco smoke exposure, socioeconomic status and prenatal/childhood air pollution exposure. Univariable and multivariable linear models (n range=2332-6672) were fitted to assess the cross-sectional and longitudinal associations of lung function with cognitive ability, and change in cognitive ability between ages 8 and 15. RESULTS: In univariate analyses, both FEV1 and FVC at age 8 were associated with cognitive ability at both ages, but after adjustment, only FVC was associated with full-scale IQ (FSIQ) at ages 8 (ß=0.09 (95% CI 0.05 to 0.12; p<0.001)) and 15 (ß=0.06 (0.03 to 0.10; p=0.001)). We did not find evidence of an association between either lung function parameter and interval change in standardised FSIQ. DISCUSSION: Reduced FVC, but not FEV1, is independently associated with decreased cognitive ability in children. This low-magnitude association attenuates between ages 8 and 15, while no association is evident with longitudinal change in cognitive ability. Our results support a link between FVC and cognition across the life course, possibly due to shared genetic or environmental risk, rather than causation.

Head, heart or checklist? How self-reported decision-making strategies change according to speciality and grade: a cross-sectional survey of doctors.

PURPOSE: To identify and analyse variations in self-reported decision-making strategies between medical professionals of different specialty and grade. STUDY DESIGN: We conducted a cross-sectional survey of doctors of different specialities and grades at St. George's Hospital, London, UK. We administered 226 questionnaires asking participants to assign proportions of their clinical decision-making behaviour to four strategies: intuitive, analytical, rule-based and creative. RESULTS: We found that physicians said they used rule-based decision-making significantly more than did surgeons and anaesthetists (p = 0.025) and analytical decision-making strategies significantly less (p = 0.003). In addition, we found that both intuitive (p = 0.0005) and analytical (p = 0.0005) decision-making had positive associations with increasing experience, whereas rule-based decision-making was negatively associated with greater experience (p = 0.0005). CONCLUSIONS: Decision-making strategies may evolve with increasing clinical experience from a predominant use of rule-based approaches towards greater use of intuitive or analytical methods depending on the familiarity and acuity of the clinical situation. Rule-based strategies remain important for delivering evidence-based care, particularly for less experienced clinicians, and for physicians more than surgeons, possibly due to the greater availability and applicability of guidelines for medical problems. Anaesthetists and intensivists tend towards more analytical decision-making than physicians; an observation which might be attributable to the greater availability and use of objective data in the care environment. As part of broader training in non-technical skills and human factors, increasing awareness among trainees of medical decision-making models and their potential pitfalls might contribute to reducing the burden of medical error in terms of morbidity, mortality and litigation.