ANALYSIS OF SKIN DISEASE INFECTION AFTER THE PALU EARTHQUAKE USING BINARY LOGISTIC REGRESSION

The incidence of skin disease in Indonesia is still relatively high and is a significant problem. This is evidenced by the 2010 Indonesian Health Profile data which shows that skin and subcutaneous tissue diseases are the third rank of the 10 most common diseases among outpatients in hospitals throughout Indonesia. Skin disease is growing, as evidenced by data from the Indonesian Ministry of Health, the prevalence of skin disease throughout Indonesia in 2012 was 8.46%, then increased in 2013 by 9 %. Palu City is an area that has a high skin disease problem. According to the 2016 BPS of Palu City, skin diseases are among the top 10 diseases in Palu City with a total of 11,363 sufferers. The method used in this research is binary logistic regression. Based on the analysis that has been done, it can be concluded that the best model is formed as follows:. Based on the best model, it is found that the factors that influence the transmission of skin diseases after the Palu earthquake are genetic factors.

A Mental Health Profile of 900 Newly Arrived Refugees in Denmark Using ICD-10 Diagnoses

(1) Background: Recognizing mental health problems in newly arrived refugees poses a challenge. Little is known of the mental health profile of refugees currently arriving in Northern Europe. (2) Method: In total, we included 900 adult (≥18 years old) refugees arriving in Aarhus, Denmark, between 1 January 2014 and 1 January 2020. All participants accepted an offer of a voluntary systematic health assessment from the municipality in Aarhus, including a mental health screening. (3) Results: Within this cohort, 26% (237/900) of the participants were referred to the Department of Psychiatry, Aarhus University Hospital, 24% (212/900) were in contact with the department and 21% (185/900) received ≥1 psychiatric diagnosis. Within the subpopulation referred (n = 237), 64% (152/237) were diagnosed with post-traumatic stress disorder (PTSD) (DF431), 14% (34/237) with neurotic, stress-related and somatoform disorders (F40–F48) and 13% (30/237) with major mood disorders (F30–F39). Among the participants referred to the Department of Psychiatry and participants receiving a diagnosis, we found an overrepresentation of participants originating from the Southern Asian region (Pakistan, Afghanistan and Iran) and with an age above 44 years. (4) Conclusion: We found a high prevalence of both referrals and psychiatric diagnoses in newly arrived refugees. Attention to psychiatric conditions in refugees and systematic health assessments during resettlement are needed.

Nutritional Content and Health Profile of Single-Serve Non-Dairy Plant-Based Beverages

A growing number of people are seeking a non-dairy plant-based beverage both for their personal health, and for the health of the planet. The aim of this study was to conduct a cross-sectional survey of single-serve plant-based beverages to assess their nutritional content and health profile. A total of 51 non-dairy plant-based beverages were analyzed from the nutrition label listed on the commercial package. The various beverages contained extracts of soy (n = 14), almonds (n = 13), oats (n = 12), peas (n = 7), banana (n = 2), coconut (n = 2), and rice (n = 1). Almost one-half (45%) of the single-serve beverages had 5 g or more of protein/serving. A total of 75% and 65% of the single-serve beverages had calcium and vitamin B12 levels, respectively, fortified to at least 20% of the Daily Value (DV), while only 28% had vitamin D fortification at the 20% DV level. Two-thirds of the single-serve beverages had high sugar levels, while 39% were low in sodium, 63% were low in fat, and 96% were low in saturated fat. The single-serve plant-based beverages had more protein, calcium, vitamin B12, and sugar but less fat than the non-dairy, multi-serve plant-based beverages/ serving. A limited number of single-serve beverages met the requirements of school meal programs.