Systematic review on the impacts of agricultural interventions on food security and nutrition in complex humanitarian emergency settings.

Complex humanitarian emergencies are a main driver of food and nutritional insecurity. Agricultural interventions are key to improving nutrition and food security, and their positive impacts are well-documented in stable developing countries. However, it is unclear if their positive effects on food security hold in complex emergency settings, too. In this paper, we systematically review empirical articles that apply rigorous designs to assess the causal impacts of agricultural interventions on food security, nutrition, or health outcomes in complex humanitarian emergencies. We only find six articles matching these criteria, which have mixed results on dietary diversity and food security, and little evidence on child nutrition. Our review underscores the need for more rigorous research on the impacts of agricultural interventions in complex humanitarian emergency settings.

Psychosocial characteristics are associated with adherence to dietary, drugs and physical activity recommendations amongst cardiovascular disease patients in Lebanon.

Cardiovascular diseases are increasing at an alarming rate worldwide, reaching epidemic proportions in countries of the Eastern Mediterranean Region, including Lebanon. Despite the growing number of patients suffering from cardiovascular diseases in Lebanon, there is scarce data on whether cardiac patients adhere to therapeutic dietary guidelines, drug prescriptions, and physical activity recommendations and whether such adherence differs according to sociodemographic, lifestyle, or psychosocial characteristics. A cross-sectional study was conducted among 367 Lebanese adult cardiovascular disease patients admitted for hospitalization at various hospital sites in Lebanon. Electronic medical records and a multi-component questionnaire were used to collect information on patients' characteristics. Dietary assessment was performed using a culture-specific validated food frequency questionnaire, and physical activity levels were assessed using the international physical activity questionnaire (IPAQ). Mental well-being was assessed based on the validated five-item well-being index (WHO-5), and drug adherence was evaluated using the Morisky medication adherence scale (MMAS-8). The majority of the patients were males (67.8%), overweight or obese (74%), smokers (62.1%), and unemployed or retired (54.5%). Almost 35% of the patients were lonely, and nearly one fourth were at a high risk of poor mental health. Approximately 43%, 70%, and 52% of the patients were found to have poor adherence to diet, drug, and physical activity recommendations, respectively. A lower sense of mental well-being was a significant predictor of low dietary and drug adherence. Surprisingly, overweight and obesity were associated with higher odds of dietary adherence. Male gender was positively associated with physical activity while loneliness was inversely associated with physical activity. This study showed that adherence to diet, drug, and physical activity recommendations was low in this patient population and identified several non-clinical characteristics that may affect adherence. These findings highlighted the need for considering patients' psychosocial characteristics in the treatment of patients with cardiovascular diseases.

Data Management and Privacy Policy of COVID-19 Contact-Tracing Apps: Systematic Review and Content Analysis.

BACKGROUND: COVID-19 digital contact-tracing apps were created to assist public health authorities in curbing the pandemic. These apps require users' permission to access specific functions on their mobile phones, such as geolocation, Bluetooth or Wi-Fi connections, or personal data, to work correctly. As these functions have privacy repercussions, it is essential to establish how contact-tracing apps respect users' privacy. OBJECTIVE: This study aimed to systematically map existing contact-tracing apps and evaluate the permissions required and their privacy policies. Specifically, we evaluated the type of permissions, the privacy policies' readability, and the information included in them. METHODS: We used custom Google searches and existing lists of contact-tracing apps to identify potentially eligible apps between May 2020 and November 2021. We included contact-tracing or exposure notification apps with a Google Play webpage from which we extracted app characteristics (eg, sponsor, number of installs, and ratings). We used Exodus Privacy to systematically extract the number of permissions and classify them as dangerous or normal. We computed a Permission Accumulated Risk Score representing the threat level to the user's privacy. We assessed the privacy policies' readability and evaluated their content using a 13-item checklist, which generated a Privacy Transparency Index. We explored the relationships between app characteristics, Permission Accumulated Risk Score, and Privacy Transparency Index using correlations, chi-square tests, or ANOVAs. RESULTS: We identified 180 contact-tracing apps across 152 countries, states, or territories. We included 85.6% (154/180) of apps with a working Google Play page, most of which (132/154, 85.7%) had a privacy policy document. Most apps were developed by governments (116/154, 75.3%) and totaled 264.5 million installs. The average rating on Google Play was 3.5 (SD 0.7). Across the 154 apps, we identified 94 unique permissions, 18% (17/94) of which were dangerous, and 30 trackers. The average Permission Accumulated Risk Score was 22.7 (SD 17.7; range 4-74, median 16) and the average Privacy Transparency Index was 55.8 (SD 21.7; range 5-95, median 55). Overall, the privacy documents were difficult to read (median grade level 12, range 7-23); 67% (88/132) of these mentioned that the apps collected personal identifiers. The Permission Accumulated Risk Score was negatively associated with the average App Store ratings (r=-0.20; P=.03; 120/154, 77.9%) and Privacy Transparency Index (r=-0.25; P<.001; 132/154, 85.7%), suggesting that the higher the risk to one's data, the lower the apps' ratings and transparency index. CONCLUSIONS: Many contact-tracing apps were developed covering most of the planet but with a relatively low number of installs. Privacy-preserving apps scored high in transparency and App Store ratings, suggesting that some users appreciate these apps. Nevertheless, privacy policy documents were difficult to read for an average audience. Therefore, we recommend following privacy-preserving and transparency principles to improve contact-tracing uptake while making privacy documents more readable for a wider public.