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Several studies in Western countries have shown an association between cognitive disorders and low BMI or weight loss in elderly people. However, few data are available in Africa. We analysed the association between cognitive disorders and undernutrition among elderly people in Central Africa. A cross-sectional, multicentre, population-based study using a two-phase design was carried out in subjects aged 65 years and above in the Central African Republic (CAR) and the Republic of Congo (ROC). All subjects were interviewed using the Community Screening Interview for Dementia, and those with low performance were clinically assessed by a neurologist and underwent further psychometrical tests. Diagnostic and Statistical Manual-IV and Petersen's criteria were required for the diagnoses of dementia and mild cognitive impairment (MCI), respectively. Undernutrition was evaluated using mid-upper arm circumference (MUAC) < 24 cm, BMI < 18·5 kg/m2 and arm muscular circumference (AMC) < 5th percentile. Multivariate binary logistic regression models were used to estimate the associations. In CAR, MCI was associated with MUAC < 24 cm (OR 0·7, 95 % CI 0·4, 1·0) and dementia with BMI < 18·5 kg/m2 (OR 2·3, 95 % CI 1·6, 3·1), AMC < 5th percentile (OR 2·3, 95 % CI 1·1, 4·6) and MUAC < 24 cm (OR 1·8, 95 % CI 1·4, 2·4). In ROC, both MCI and dementia were associated with all markers of undernutrition, but only AMC < 5th percentile was significantly associated with MCI (OR 3·1, 95 % CI 1·9, 4·8). In conclusion, cognitive disorders were associated with undernutrition. However, further studies are needed to elucidate the relationship between MCI and undernutrition in CAR. [ABSTRACT FROM AUTHOR]

A correction to the article "Epidemiology of dementia in Central Africa (EPIDEMCA): protocol for a multicentre population-based study in rural and urban areas of the Central African Republic and the Republic of Congo," by Pascal Mblesso et al, published in a previous issue is presented.

CAUSES OF UNDERNUTRITION AND HOW TO LOOK FOR THEM IN GENERAL PRACTICE Nutritional imbalance leading to undernutrition is found in 3 situations: in the absence of disease (related to hunger or to socio- economic or psychological problems), related to a disease without inflammation, or to a disease with acute or chronic inflammation. These situations can lead to a reduction in food intake and in digestive absorption, and an increase in energy expenditure and in protein catabolism. In general practice, when faced with unexplained and/or isolated weight loss, whether voluntary or not, it is essential to look for an etiology. Intake can easily be evaluated using a visual or verbal analogical scale, the SEFI (Self-Evaluation of Food Intake). A biological check-up and digestive explorations can also orient the physician towards the cause of this weight loss or undernutrition. There is always a cause for weight loss and the general practitioner is a key player in finding this cause as early as possible., Competing Interests: P. Jésus déclare des interventions ponctuelles pour Nestlé Health Science, Astra Zeneca et Nutricia et avoir été pris en charge à l’occasion de déplacement pour congrès, par Nestlé Health Science et Nutricia. - P. Fayemendy déclare des interventions ponctuelles pour Fresenius Kabi, B. Braun et Nutricia et avoir été pris en charge, à l’occasion de déplacement pour congrès, par Nestlé Health Science, Nutricia et Théradial.

Food and malnutrition in the elderly. Malnutrition affects 4-10% of elderly at home, but 15-40% of them in institutions. Its consequences are multiple and sometimes severe. Knowing the risk factors often helps to prevent the onset of malnutrition. The simplest and most readily usable criteria are the body mass index (BMI) inferior 21 and weight loss (at least 5% in one month or 10% in six months). The treatment is primarily through enriched intakes by mouth and/or oral nutritional supplements, but in case of severe malnutrition with very limited intakes by mouth, enteral nutrition must be offered at the outset, if the digestive tract is usable. Parenteral nutrition is the last resort because of its dangerousness., Competing Interests: J.-C. Desport déclare des liens ponctuels (conférences, congrès, expertises) avec Nutricia, Baxter, Fresenius Kabi, Nestlé, NHC, Nutrisens. P. Jésus déclare des liens ponctuels avec Nutricia et avoir été pris en charge lors de congrès par Nutricia, Fresenius Kabi, Nestlé et Lactalis. P. Fayemendy déclare des liens ponctuels avec Nutricia, B. Braun, Baxter, Fresenius Kabi, K’noé, et Shire, et avoir été pris en charge lors de congrès par NHC, Nutricia, B.Braun, Fresenius Kabi et Lactalis.

Predictive equations have been specifically developed for obese patients to estimate resting energy expenditure (REE). Body composition (BC) assessment is needed for some of these equations. We assessed the impact of BC methods on the accuracy of specific predictive equations developed in obese patients. REE was measured (mREE) by indirect calorimetry and BC assessed by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). mREE, percentages of prediction accuracy (±10% of mREE) were compared. Predictive equations were studied in 2588 obese patients. Mean mREE was 1788 ± 6.3 kcal/24 h. Only the Müller (BIA) and Harris & Benedict (HB) equations provided REE with no difference from mREE. The Huang, Müller, Horie-Waitzberg, and HB formulas provided a higher accurate prediction (>60% of cases). The use of BIA provided better predictions of REE than DXA for the Huang and Müller equations. Inversely, the Horie-Waitzberg and Lazzer formulas provided a higher accuracy using DXA. Accuracy decreased when applied to patients with BMI ≥ 40, except for the Horie-Waitzberg and Lazzer (DXA) formulas. Müller equations based on BIA provided a marked improvement of REE prediction accuracy than equations not based on BC. The interest of BC to improve REE predictive equations accuracy in obese patients should be confirmed., Competing Interests: The authors declare no conflict of interest.

Background: Nutritional status among elderly people living in Sub-Saharan Africa is poorly studied, even though undernutrition and obesity are known to cause many complications and are risk factors for progression and death in several diseases. The aims of this study were to assess the nutritional status of the elderly in Central Africa and to study the factors associated with nutritional disorders (undernutrition and obesity)., Methods: Two cross-sectional population-based studies were carried out in the capitals of Central African Republic (CAR) and Republic of Congo (ROC) between 2008 and 2009. Participants were aged ≥65 years old and underwent nutritional assessment including the following measurements: weight, height, body mass index (BMI), waist circumference (WC). Diet was also investigated. Nutritional status was defined according to the WHO BMI classification (<18.5 = undernutrition; ≥30 = obesity). Multinomial regression analysis was performed in order to identify factors associated with nutritional status., Results: 990 elderly people underwent nutritional assessment (482 in CAR and 508 in ROC). Mean BMI was 22.7 ± 4.8 kg/m 2 . The prevalence of undernutrition was 19.2% and was lower in ROC than in CAR (9.5% vs. 29.5%; p < 0.0001). The prevalence of obesity was 8.8% and was higher in ROC than in CAR (14.6% vs. 2.7%; p < 0.0001). The mean WC was 85.3 ± 28.4 cm. Adjusted on study site, increasing age (OR = 1.6 [95% CI: 1.1-2.3] for 75-84 years, OR = 2.6 [95% CI: 1.4-4.8] for 85+ years), occupation as farmer/breeder (OR = 2.2 [95% CI: 1.1-4.2]), smoking (OR = 1.71 [95% CI: 1.14-2.56]) and low sugar consumption (OR = 1.7 [95% CI: 1.1-2.7]) were positively associated with undernutrition whereas only female sex was positively associated with obesity (OR = 5.0 [95% CI: 2.2-11.0])., Conclusions: The prevalence of undernutrition is high in the elderly population of these countries, in contrast to obesity. Undernutrition and obesity are associated with different socio-economic factors and food consumption. Simple nutritional advice could contribute to improving the nutritional status of elderly people in Central Africa., (Copyright © 2017 European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Objectives: To determine the nutritional status of elderly African people and to investigate the association between undernutrition and dementia., Design: Door-to-door cross-sectional surveys in the general population., Setting: Representative districts of Bangui (Central African Republic) and Brazzaville (Republic of Congo)., Participants: Population aged over 65 years., Measurement: Undernutrition was defined as a body mass index <18.5. Anthropometric parameters (arm circumference, waist circumference and triceps skinfold thickness) were measured, and information was gathered on nutritional habits. PARTICIPANTS underwent cognitive screening using the Community Screening Interview for Dementia (CSI-D) and the Five-Word Test. After further neuropsychological testing and neurological examination, the diagnosis of dementia was confirmed according to DSM-IV criteria. Multivariate logistic regression models were applied in order to identify factors associated with undernutrition in populations with or without dementia., Results: 1016 people were included. In the general population, the prevalence of undernutrition was 19.2%. Dementia was found in 7.4% of elderly people. Compared with healthy people, patients with dementia had an increased prevalence of undernutrition (32.0% vs. 17.7%; p = 0.002), lower weight (49.3 ± 10.5 kg vs. 58.4 ± 13.5 kg ; p < 0.001), and lower BMI (20.8 ± 4.1 vs. 22.9 ± 4.8 ; p < 0.001); they were less likely to eat their fill (38.9% vs. 45.9% ; p = 0.001), had more dietary restrictions (36.1% vs. 24.3% ; p = 0.03) and ate less often with their family (66.7% vs. 90.6% ; p < 0.0001). Eating only one meal per day was the sole factor associated with undernutrition in dementia (OR: 7.23 [CI: 1.65-31.7]; p = 0.03)., Conclusion: The prevalence of undernutrition is high in the older population. The nutritional status of patients with dementia is more impaired than that of healthy patients. However, they are less often malnourished than in French home care settings. This study is the first to look at the nutritional status of at-home patients with dementia in Africa. These comparative data will eventually be used in the development of new nutritional intervention strategies.