Malaria rapid diagnostic test (HRP2/pLDH) positivity, incidence, care accessibility and impact of community WASH Action programme in DR Congo: mixed method study involving 625 households.

BACKGROUND: Malaria is one of the most prevalent and deadliest illnesses in sub-Saharan Africa. Despite recent gains made towards its control, many African countries still have endemic malaria transmission. This study aimed to assess malaria burden at household level in Kongo central province, Democratic Republic of Congo (DRC), and the impact of community participatory Water, Sanitation and Hygiene (WASH) Action programme. METHODS: Mixed method research was conducted in two semi-rural towns, Mbanza-Ngungu (a WASH action site) and Kasangulu (a WASH control site) in DRC between 1 January 2017 through March 2018, involving 625 households (3,712 household members). Baseline and post-intervention malaria surveys were conducted with the use of World Bank/WHO Malaria Indicator Questionnaire. An action research consisting of a six-month study was carried out which comprised two interventions: a community participatory WASH action programme aiming at eliminating mosquito breeding areas in the residential environment and a community anti-malaria education campaign. The latter was implemented at both study sites. In addition, baseline and post-intervention malaria rapid diagnostic test (RDT) was performed among the respondents. Furthermore, a six-month hospital-based epidemiological study was conducted at selected referral hospitals at each site from 1 January through June 2017 to determine malaria trend. RESULTS: Long-lasting insecticide-treated net (LLIN) was the most commonly used preventive measure (55%); 24% of households did not use any measures. Baseline malaria survey showed that 96% of respondents (heads of households) reported at least one episode occurring in the previous six months; of them only 66.5% received malaria care at a health setting. In the Action Research, mean incident household malaria cases decreased significantly at WASH action site (2.3 ± 2.2 cases vs. 1.2 ± 0.7 cases, respectively; p < 0.05), whereas it remained unchanged at the Control site. Similar findings were observed with RDT results. Data collected from referral hospitals showed high malaria incidence rate, 67.4%. Low household income (ORa = 2.37; 95%CI: 1.05-3.12; p < 0.05), proximity to high risk area for malaria (ORa = 5.13; 95%CI: 2-29-8.07; p < 0.001), poor WASH (ORa = 4.10; 95%CI: 2.11-7.08; p < 0.001) were predictors of household malaria. CONCLUSION: This research showed high prevalence of positive malaria RDT among the responders and high household malaria incidence, which were reduced by a 6-month WASH intervention. DRC government should scale up malaria control strategy by integrating efficient indoor and outdoor preventive measures and improve malaria care accessibility.

Depressive symptoms in workers with high autistic trait scores according to job stress type.

Individuals with high levels of autistic traits are at a high risk of experiencing depressive symptoms, and are also vulnerable to job stress. This study aimed to identify which combination of autistic traits and type of job stress are related to depressive symptoms. Participants comprised 992 workers from different regions of Japan. Autistic traits, depressive symptoms, and job stress were measured using the Autism-Spectrum Quotient, K6 scale, and Job Content Questionnaire, respectively. Logistic regression was performed to estimate the odds ratio and 95% confidence interval. Workers with high autistic traits scores reported significantly more depressive symptoms for all job stress types, especially high job demand. Depressive symptoms differed according to autistic traits and job stress. In workers with high autistic trait subscale scores, those with active job stress reported more depressive symptoms than those with high strain job stress, except for the "poor imagination" trait. This is contrary to previous reports that the active stress type is generally less associated with depressive symptoms than the high-strain stress type. To prevent depressive symptoms in workers with high autistic trait scores, it is important to understand which combination of autistic traits and type of job stress contribute to depressive symptoms.