Baseline characteristics of the study population (NDHS, 2008)^*.

<p>* Data are expressed as mean (standard deviation) or as percentages.</p>†<p>Age ranges from 15 to 49 years of age.</p>‡<p>Age ranges from 15 to 95 years of age.</p

Total residual spatial effects, at state level in Nigeria, of obesity/overweight.

<p>Shown are the posterior odds ratios (left) and corresponding posterior probabilities at 80% nominal level (right).</p

Marginal and posterior odds ratios of overweight/obesity across selected covariates (NDHS, 2008).

‡<p>Adjusted marginal odds ratio (OR) from standard logistic regression models.</p>†<p>Spatially adjusted posterior odds ratio (OR) from Bayesian geo-additive regression models after controlling for nonlinear effect of age, categorical variables and the province of residence (spatial effects).</p

Map of Nigeria by states.

<p>1, Akwa Ibom. 2, Anambra. 3, Bauchi. 4, Gombe. 5, Edo. 6, Benue. 7, Borno.-River. 9, Adamawa. 10, Imo. 11, Kaduna. 12, Kano. 13, Katsina. 14, Kwara. 15, Lagos. 16, Niger. 17, Ogun. 18, Ondo. 19, Ekiti. 20, Oyo. 21, Nassarawa. 22, Plateau. 23, Bayelsa. 24, Rivers. 25, Sokoto. 26, Zamfara. 27, Abia. 28, Delta. 29, Ebonyi. 30, Enugu. 31, Jigawa. 32, Kebbi. 33, Kogi. 34, Osun. 35, Taraba. 36, Yobe. 37, Abuja.</p

Estimated nonparametric effect of respondent (left) and partner's (right) age on obesity/overweight.

<p>Shown is the posterior mean within 80% credible regions.</p

Baseline characteristics of the study population by overweight/obesity status (NDHS 2008)^*.

<p>*Data are expressed as mean (standard deviation) or as percentages.</p>†<p><i>P</i>-values for comparison between overweight/obese and normal weight subjects.</p

Plot of highest linkage signals on 22 chromosomes using microsatellites (Micro, black), Illumina (Illum, dotted) and Affymetrix (Affy, red) maps

<p><b>Copyright information:</b></p><p>Taken from "Genome-wide linkage analysis of age at onset of alcohol dependence: a comparison between microsatellites and single-nucleotide polymorphisms"</p><p></p><p>BMC Genetics 2005;6(Suppl 1):S12-S12.</p><p>Published online 30 Dec 2005</p><p>PMCID:PMC1866818.</p><p></p

Linkage signals obtained with microsatellite (Micro), Illumina SNP (Illum) and Affymetrix SNP (Affy) maps on selected chromosomes

<p><b>Copyright information:</b></p><p>Taken from "Genome-wide linkage analysis of age at onset of alcohol dependence: a comparison between microsatellites and single-nucleotide polymorphisms"</p><p></p><p>BMC Genetics 2005;6(Suppl 1):S12-S12.</p><p>Published online 30 Dec 2005</p><p>PMCID:PMC1866818.</p><p></p

Additional file 1: of Impact of body fat changes in mediating the effects of antiretroviral therapy on blood pressure in HIV-infected persons in a sub-Saharan African setting

Multilingual abstracts in the six official working languages of the United Nations. (PDF 314 kb

Prevalence of Dementia and Cognitive Complaints in the Context of High Cognitive Reserve: A Population-Based Study

<div><p>Objectives</p><p>This study aimed to assess the prevalence of dementia and cognitive complaints in a cross-sectional sample of Luxembourg seniors, and to discuss the results in the societal context of high cognitive reserve resulting from multilingualism.</p><p>Methods</p><p>A population sample of 1,377 people representative of Luxembourg residents aged over 64 years was initially identified via the national social insurance register. There were three different levels of contribution: full participation in the study, partial participation, and non-participation. We examined the profiles of these three different samples so that we could infer the prevalence estimates in the Luxembourgish senior population as a whole using the prevalence estimates obtained in this study.</p><p>Results</p><p>After careful attention to the potential bias and of the possibility of underestimation, we considered the obtained prevalence estimates of 3.8% for dementia (with corresponding 95% confidence limits (CL) of 2.8% and 4.8%) and 26.1% for cognitive complaints (CL = [17.8–34.3]) as trustworthy.</p><p>Conclusion</p><p>Based on these findings, we postulate that high cognitive reserve may result in surprisingly low prevalence estimates of cognitive complaints and dementia in adults over the age of 64 years, which thereby corroborates the longer disability-free life expectancy observed in the Luxembourg population. To the best of our knowledge, this study is the first to report such Luxembourgish public health data.</p></div