Physical activity from childhood to adulthood and cognitive performance in midlife

Introduction: Physical activity (PA) has been suggested to protect against old-age cognitive deficits. However, the independent role of childhood/youth PA for adulthood cognitive performance is unknown. This study investigated the association between PA from childhood to adulthood and midlife cognitive performance.Methods: This study is a part of the Cardiovascular Risk in Young Finns Study. Since 1980, a population-basedcohort of 3,596 children (age 3-18 years) have been followed-up in 3-9-year intervals. PA has been queried in all study phases. Cumulative PA was determined in childhood (age 6-12 years), adolescence (age 12-18 years), young adulthood (age 18-24 years) and adulthood (age 24-37 years). Cognitive performance was assessed using computerized neuropsychological test, CANTAB®, (N=2,026, age 34-39 years) in 2011.Results: High PA in childhood (β 0.119, 95% confidence interval (CI) 0.055–0.182) and adolescence (β 0.125, 95% CI 0.063–0.188) were associated with better reaction time in midlife independent of PA in other age frames. Additionally, an independent association of high PA in young adulthood with better visual processing and sustained attention in midlife was observed among men (β 0.101, 95% CI 0.001–0.200). There were no associations for other cognitive domains.Conclusion: Cumulative exposure to PA from childhood to adulthood was found to be associated with better midlife reaction time. Furthermore, cumulative PA exposure in young adulthood and adulthood was associated with better visual processing and sustained attention in men. All associations were independent of participants PA level in other measured age frames. Therefore, a physically active lifestyle should be adopted already in childhood, adolescence and young adulthood and continued into midlife to ensure the plausible benefits of PA on midlife cognitive performance.</p

Association between Number of Siblings and Cardiovascular Risk Factors in Childhood and in Adulthood: The Cardiovascular Risk in Young Finns Study

Objective: To determine the association of number of siblings on cardiovascular risk factors in childhood and in adulthood.Study design: In total, 3554 participants (51% female) from the Cardiovascular Risk in Young Finns Study with cardiovascular disease risk factor data at baseline 1980 (age 3-18 years) and 2491 participants with longitudinal risk factor data at the 2011 follow-up. Participants were categorized by number of siblings at baseline (0, 1, or more than 1). Risk factors (body mass index, physical activity, hypertension, dyslipidemia, and overweight, and metabolic syndrome) in childhood and in adulthood were used as outcomes. Analyses were adjusted for age and sex.Results: In childhood, participants without siblings had higher body mass index (18.2 kg/m2, 95% CI 18.0-18.3) than those with 1 sibling (17.9 kg/m2, 95% CI 17.8-18.0) or more than 1 sibling (17.8 kg/m2, 95% CI 17.7-17.9). Childhood physical activity index was lower among participants without siblings (SD -0.08, 95% CI -0.16-0.00) compared with participants with 1 sibling (SD 0.06, 95%CI 0.01-0.11) or more than 1 sibling (SD -0.02, 95% CI -0.07-0.03). OR for adulthood hypertension was lower among participants with 1 sibling (OR 0.73, 95% CI 0.54-0.98) and more than 1 sibling (OR 0.71, 95% CI 0.52-0.97) compared with participants with no siblings. OR for obesity was lower among participants with 1 sibling (OR 0.72, 95% CI 0.54-0.95) and more than 1 sibling (OR 0.75, 95% CI 0.56-1.01) compared with those with no siblings.Conclusions: Children without siblings had poorer cardiovascular risk factor levels in childhood and in adulthood. The number of siblings could help identify individuals at increased risk that might benefit from early intervention.</div

Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

These authors contributed equally: Gail Davies, Max Lam. These authors jointly supervised this work: Todd Lencz, Ian J. Deary

Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (Nature Communications, (2018), 9, 1, (2098), 10.1038/s41467-018-04362-x)

Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article. © 2019, The Author(s)