Background: Cohort studies have reported that midlife high total serum cholesterol (TC) is associated with increased risk of Alzheimer’s disease (AD) in late-life but findings have been based on few studies and previous reviews have been limited by a lack of compatible data.Objective: We synthesized all high quality data from cohort studies reporting on the association between total serum cholesterol measured and late-life cognitive outcomes including Alzheimer’s disease (AD), vascular dementia (VaD), any dementia, mild cognitive impairment (MCI), and cognitive decline.Methods: The literature was searched up to October 2016 using a registered protocol. Thirty-four articles meeting study criteria were identified. Seventeen studies published from 1996 to 2014, including 23,338 participants were included in meta-analyses.Results: Relative risk of developing AD for adults with high TC in midlife was 2.14 (95% CI 1.33–3.44) compared with normal cholesterol. Individual studies that could not be pooled also reported high TC in midlife increased the risk of MCI and cognitive decline in late-life. High TC in late-life was not associated with MCI, AD, VaD, any dementia, or cognitive decline. Late-life measured HDL cholesterol and triglycerides were not associated with increased risk of VaD, and HDL was not associated with risk of MCI, AD, or any dementia. There were insufficient data to examine other cholesterol sub-fractions, sex differences, or APOE interactions.Conclusions: Significant gaps in the literature regarding TC and late-life dementia remain. Evidence suggests that high midlife TC increases risk of late-life AD, and may correlate with the onset of AD pathology.

BackgroundAt present, dementia has no known cure. Interventions to delay onset and reduce prevalence of the disease are therefore focused on risk factor reduction. Previous population attributable risk estimates for western countries may have been underestimated as a result of the relatively low rates of midlife obesity and the lower weighting given to that variable in statistical models.MethodsLevin’s Attributable Risk which assumes independence of risk factors was used to calculate the proportion of dementia attributable to seven modifiable risk factors (midlife obesity, physical inactivity, smoking, low educational attainment, diabetes mellitus, midlife hypertension and depression) in Australia. Using a recently published modified formula and survey data from the Australia Diabetes, Obesity and Lifestyle Study, a more realistic population attributable risk estimate which accounts for non-independence of risk factors was calculated. Finally, the effect of a 5–20% reduction in each risk factor per decade on future dementia prevalence was computed.ResultsTaking into consideration that risk factors do not operate independently, a more conservative estimate of 48.4% of dementia cases (117,294 of 242,500 cases) was found to be attributable to the seven modifiable lifestyle factors under study. We calculated that if each risk factor was to be reduced by 5%, 10%, 15% and 20% per decade, dementia prevalence would be reduced by between 1.6 and 7.2% in 2020, 3.3–14.9% in 2030, 4.9–22.8% in 2040 and 6.6–30.7% in 2050.ConclusionOur largely theory-based findings suggest a strong case for greater investment in risk factor reduction programmes that target modifiable lifestyle factors, particularly increased engagement in physical activity. However, further data on risk factor treatment and dementia risk reduction from population-based studies are needed to investigate whether our estimates of potential dementia prevention are indeed realistic.Electronic supplementary materialThe online version of this article (doi:10.1186/s13195-017-0238-x) contains supplementary material, which is available to authorized users.

With population ageing worldwide, dementia poses one of the greatest global challenges for health and social care in the 21st century. In 2019, around 55 million people were affected by dementia, with the majority living in low- and middle-income countries. Dementia leads to increased costs for governments, communities, families and individuals. Dementia is overwhelming for the family and caregivers of the person with dementia, who are the cornerstone of care and support systems throughout the world. To assist countries in addressing the global burden of dementia, the World Health Organisation (WHO) developed the Global Action Plan on the Public Health Response to Dementia 2017–2025. It proposes actions to be taken by governments, civil society, and other global and regional partners across seven action areas, one of which is dementia risk reduction. This paper is based on WHO Guidelines on risk reduction of cognitive decline and dementia and presents recommendations on evidence-based, multisectoral interventions for reducing dementia risks, considerations for their implementation and policy actions. These global evidence-informed recommendations were developed by WHO, following a rigorous guideline development methodology and involved a panel of academicians and clinicians with multidisciplinary expertise and representing geographical diversity. The recommendations are considered under three broad headings: lifestyle and behaviour interventions, interventions for physical health conditions and specific interventions. By supporting health and social care professionals, particularly by improving their capacity to provide gender and culturally appropriate interventions to the general population, the risk of developing dementia can be potentially reduced, or its progression delayed.

Principal Component Analysis (PCA) was used to determine the association between dietary patterns and cognitive function and to examine how classification systems based on food groups and food items affect levels of association between diet and cognitive function. The present study focuses on the older segment of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) sample (age 60+) that completed the food frequency questionnaire at Wave 1 (1999/2000) and the mini-mental state examination and tests of memory, verbal ability and processing speed at Wave 3 (2012). Three methods were used in order to classify these foods before applying PCA. In the first instance, the 101 individual food items asked about in the questionnaire were used (no categorisation). In the second and third instances, foods were combined and reduced to 32 and 20 food groups, respectively, based on nutrient content and culinary usage—a method employed in several other published studies for PCA. Logistic regression analysis and generalized linear modelling was used to analyse the relationship between PCA-derived dietary patterns and cognitive outcome. Broader food group classifications resulted in a greater proportion of food use variance in the sample being explained (use of 101 individual foods explained 23.22% of total food use, while use of 32 and 20 food groups explained 29.74% and 30.74% of total variance in food use in the sample, respectively). Three dietary patterns were found to be associated with decreased odds of cognitive impairment (CI). Dietary patterns derived from 101 individual food items showed that for every one unit increase in ((Fruit and Vegetable Pattern: p = 0.030, OR 1.061, confidence interval: 1.006–1.118); (Fish, Legumes and Vegetable Pattern: p = 0.040, OR 1.032, confidence interval: 1.001–1.064); (Dairy, Cereal and Eggs Pattern: p = 0.003, OR 1.020, confidence interval: 1.007–1.033)), the odds of cognitive impairment decreased. Different results were observed when the effect of dietary patterns on memory, processing speed and vocabulary were examined. Complex patterns of associations between dietary factors and cognition were evident, with the most consistent finding being the protective effects of high vegetable and plant-based food item consumption and negative effects of ‘Western’ patterns on cognition. Further long-term studies and investigation of the best methods for dietary measurement are needed to better understand diet-disease relationships in this age group.

Background: Hunger, food insecurity, stunting, anemia, overweight, and noncommunicable diseases (NCDs) may coexist in the same person, household, and community in Latin America and the Caribbean (LAC). The double burden of malnutrition (DBM) is an important cause of disability and premature death, which could be addressed with comprehensive policies such as the Plan of Action for the Prevention of Obesity in Children and Adolescents. This paper summarizes the main policies and actions aimed to prevent undernutrition and obesity. Summary: Several countries are implementing the Plan of Action, Caribbean Public Health Agency is actively supporting Ministries of Health, Education, and Sport to develop school nutrition policies and strategies to create health-promoting environments at school and in their surrounding communities. Chile is implementing the comprehensive child protection system “Chile Crece Contigo” that integrates health, social development, and educational activities to optimize growth and childhood cognitive-motor development. Brazil is implementing policies and plans to commit to international targets regarding food and nutrition security, NCDs and their risk factors. Key Messages: The DBM exists in the Americas and contributes to disability and premature death. The Region is making progress implementing policies and actions addressing the DBM. However, stronger political will and leadership are needed to enact legislation and policies that create and support enabling ­environments.

BackgroundThe rising prevalence of cognitive impairment is an increasing challenge with the ageing of our populations but little is known about the burden in low- and middle- income Latin American and Caribbean countries (LAC) that are aging more rapidly than their developed counterparts. We examined life expectancies with cognitive impairment (CILE) and free of cognitive impairment (CIFLE) in seven developing LAC countries.MethodsData from The Survey on Health, Well-being and Ageing in LAC (N = 10,597) was utilised and cognitive status was assessed by the Mini-Mental State Examination (MMSE). The Sullivan Method was applied to estimate CILE and CIFLE. Logistic regression was used to determine the effect of age, gender and education on cognitive outcome. Meta-regression models were fitted for all 7 countries together to investigate the relationship between CIFLE and education in men and women at age 60.ResultsThe prevalence of CI increased with age in all countries except Uruguay and with a significant gender effect observed only in Mexico where men had lower odds of CI compared to women [OR = 0.464 95% CInt (0.268 – 0.806)]. Low education was associated with increased prevalence of CI in Brazil [OR = 4.848 (1.173–20.044)], Chile [OR = 3.107 (1.098–8.793), Cuba [OR = 2.295 (1.247–4.225)] and Mexico [OR = 3.838 (1.368–10.765). For males, total life expectancy (TLE) at age 60 was highest in Cuba (19.7 years) and lowest in Brazil and Uruguay (17.6 years). TLE for females at age 60 was highest for Chileans (22.8 years) and lowest for Brazilians (20.2 years). CIFLE for men was greatest in Cuba (19.0 years) and least in Brazil (16.7 years). These differences did not appear to be explained by educational level (Men: p = 0.408, women: p = 0.695).ConclusionIncreasing age, female sex and low education were associated with higher CI in LAC reflecting patterns found in other countries.

Suggested citationAshby-Mitchell K, Burns R, Anstey KJ. The proportion of dementia attributable to common modifiable lifestyle factors in Barbados. Rev Panam Salud Publica. 2018;42:e17. https://doi.org/10.26633/ RPSP.2018.17 Dementia is a progressive condition characterized by declines in memory, communication ability, and behavior (1). There is no known cure, and age is presently its strongest known predictor (2, 3).Over 40 million people worldwide are estimated to have the condition (1). This figure is projected to increase to over 110 million by 2050 (4), heavily influenced by rapidly aging populations, particularly in low-and middle-income countries (5). Diabetes, hypertension, smoking, alcohol consumption, education level, diet, and physical activity habits have all been identified as risk factors for dementia (6 -8). These factors are modifiable and have the potential to reduce dementia risk.Numerous studies have investigated the effects of risk factor prevalence on

Background: Dementia has no known cure and age is its strongest predictor. Given that populations in the Caribbean are aging, a focus on policies and programs that reduce the risk of dementia and its risk factors is required. Objective: To estimate the proportion of dementia in the Jamaican setting attributable to key factors. Methods: We analyzed the contribution of five modifiable risk factors to dementia prevalence in Jamaica using a modified Levin’s Attributable Risk formula (low educational attainment, diabetes, smoking status, depression, and physical inactivity). Four sources of data were used: risk factor prevalence was obtained from the Jamaica Health and Lifestyle Survey, 2008, relative risk data were sourced from published meta-analyses, shared variance among risk factors was determined using cross-sectional data from the Health and Social Status of Older Persons in Jamaica Study. Estimated future prevalence of dementia in Jamaica was sourced from a published ADI/BUPA report which focused on dementia in the Americas. We computed the number of dementia cases attributable to each risk factor and estimated the effect of a reduction in these risk factors on future dementia prevalence. Results: Accounting for the overlapping of risk factors, 34.46% of dementia cases in Jamaica (6548 cases) were attributable to the five risk factors under study. We determined that if each risk factor were to be reduced by 5% –10% per decade from 2010–2050, dementia prevalence could be reduced by up to 14.0%. Conclusion: As the risk factors for dementia are shared with several of the main causes of death in Jamaica, a reduction in risk factors by even 5% can result in considerable public health benefit.