Background/objectives: the association between late-life obesity and late-life cognitive abilities is poorly understood. We studied the association between body mass index (BMI) and cognitive change in longitudinal population-based study spanning over the ninth decade of life.
Subjects/methods: in total, 475 participants free of dementia at baseline from the Lothian Birth Cohort 1921 (mean age: 79.1 years, SD: 0.6) were included. Height and weight were assessed at baseline. BMI was calculated as kg/m(2). Cognitive abilities were assessed at age ∼11 years and at age ∼79, ∼83, ∼87 and ∼90 years.
Results: latent growth models showed that men being overweight and obese had a 0.65 (SD: 0.3) and 1.10 (SD: 0.5) points less steep decline in general cognitive ability (as measured by the Moray House Test) for each year than people of normal weight. These associations were to some extent confounded by childhood intelligence. No other association between BMI and cognition was significant, either for men or women. People who were obese in old age had significantly lower childhood intelligence (m = 43.6, SD: 1.3) than people who were normal in weight (m = 47.0, SD: 0.8) and persons being overweight (m = 47.5, SD: 0.8), F (472, 3) = 3.2, P = 0.043.
Conclusions: the current study shows weak or no evidence for an association between BMI in old age and cognitive function, especially not when childhood intelligence is controlled for. Lower intelligence at the age of 11 years predicted obesity at the age of 79 years.
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http://dx.doi.org/10.1093/ageing/afu108 | DOI Listing |
Int J Clin Health Psychol
January 2025
Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
BMC Health Serv Res
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Department of Public Health Policy and Systems, University of Liverpool, Brownlow Street, Liverpool, L69 3GF, UK.
Background: Adversity in childhood is increasing in the United Kingdom. Complex health and social problems affecting children cluster in families where adults also have high need, but services are rarely aligned to support the whole family. Household level segmentation can help identify households most needing integrated support.
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Department of Psychology, The Education University of Hong Kong, Hong Kong, China.
Statistical learning is a core ability for individuals in extracting and integrating regularities and patterns from linguistic input. Yet, the developmental trajectory of visual statistical learning has not been fully examined in the orthographic learning domain. Employing an artificial orthographic learning task, we manipulated three levels of positional consistency of radicals, i.
View Article and Find Full Text PDFChild Abuse Negl
January 2025
School of Nursing & Healthcare Leadership, University of Washington, Tacoma, WA, United States.
Backgrounds: Exposure to adverse childhood experiences (ACEs) is associated with adverse neurobiological, developmental, cognitive, behavioral, psychological, and social consequences among children and adolescents. Psychosocial interventions hold promise for mitigating the negative impacts of ACEs, but there is a lack of updated and comprehensive evidence summarizing their effects qualitatively and quantitatively.
Aims: We performed a systematic review and meta-analysis of existing evidence on the effectiveness of psychosocial interventions on children's outcomes, including internalizing and externalizing problems.
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Department of General Internal Medicine and Psychosomatics, Heidelberg University, Heidelberg, Germany.
This study investigates the associations between early childhood adversities, stress perception, and fibromyalgia syndrome (FMS). Although the interconnection between dysregulated stress systems and FMS is well documented, the interconnection between early adversities and FMS remains less understood. This study explores the relationship of early-life stress and FMS by examining its mediation through perceived stress, and acute and chronic endocrine stress indicators.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!