Analysis of predictors of malnutrition in adult hospitalized patients: social determinants and food security.

Background: Malnutrition in hospitalized patients is becoming a priority during the patient care process due to its implications for worsening health outcomes. It can be the result of numerous social factors beyond clinical ones. This study aimed to evaluate the link between these various risk factors considered social determinants of health, food security levels, and malnutrition and to identify potential predictors. Methods: A cross-sectional observational study was conducted on a random sample of adult patients in five different hospitals in Lebanon. Malnutrition was assessed using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Patients were interviewed to collect social and economic characteristics and were categorized into four criteria: (1) area of residence (urbanization level), (2) level of education, (3) employment status, and (4) source of health coverage. The food security level was screened by a validated two-question tool, adapted from the US Department of Agriculture Household Food Security Survey, targeting both quantity and quality. Results: In a random sample of 343 patients, the prevalence of malnutrition according to the GLIM criteria was 35.6%. Patients with low levels of food security, mainly low quality of food, had higher odds of being malnourished (OR = 2.93). Unemployed or retired patients and those who have only completed only elementary school had higher odds of being diagnosed with malnutrition as compared to those who were employed or had university degrees, respectively (OR = 4.11 and OR = 2.33, respectively). Employment status, education level, and type of health coverage were identified as predictors of malnutrition in the multiple regression model. Household location (urban vs. rural) was not associated with malnutrition. Conclusion: The social determinants of health identified in our study, mainly the level of education and income level, in addition to food security, were identified as predictors of malnutrition in hospitalized patients. These findings should guide healthcare professionals and national policies to adopt a broader perspective in targeting malnutrition by including social determinants in their nutrition care.

Rape in Armed Conflicts in the Democratic Republic of Congo: A Systematic Review of the Scientific Literature.

We conducted a systematic review of the scientific literature between 1996 and 2013 on rape in war-ridden Eastern Democratic Republic of Congo (DRC) in order to better understand the interest of the scientific community in describing the magnitude and characteristics of the problem. The literature search was conducted in French and English using several databases (Pubmed, PsycInfo, Sapphire, BDSP, Embase, Rero, and Web of Science) with the key words "rape and DRC" combined with several Medical Subject Headings concepts. Our systematic review yielded 2,087 references, among which only 27 are original studies, that is 20 are based on population surveys and the remaining 7 are original data based on case studies and reviews. Ten studies provided prevalence rates of rape victims, 18 provided specific information on the profile of the victims, 10 reported that most of the perpetrators of rape were military personnel, 14 referred to the negligence of the government in protecting victims, and 10 reported a lack of competent health-care facilities. The awareness of rape in conflict-ridden DRC is still limited as reported in the scientific literature: Published scientific papers are scarce. Yet more research would probably help mobilize local authorities and the international community against this basic human rights violation.

Testing an unconventional mortality information source in the canton of Geneva Switzerland.

Mortality data are often unavailable, incomplete, and difficult to access for research and other purposes. Gaps in mortality data reports, particularly those detailing place of death, deprive healthcare professionals, decision-makers, and many others of the information that is needed to plan, implement, and evaluate interventions designed for purposes such as to assist people in achieving their preferred death place or reduce hospital utilization. Alternative methods of collecting reliable and valid data on death place may be needed. Our study primarily compared mortality data from a conventional information system (Federal Statistical Office) with mortality data collected using an unconventional system (funeral homes) over a 6-year period (2005-10) for the canton of Geneva Switzerland. Only a small average difference (4.8%) in death incidence was found. Death place data comparisons were also useful. This study suggests that the unconventional data from funeral homes provides reasonably reliable, valid, timely, and useful mortality data.