Prevalence and factors associated with depression, anxiety and stress symptoms among construction workers in Nepal.

IntroductionThe construction industry in Nepal, which employs a significant proportion of the population, ranks as one of the largest industries in the country. Construction work is physically demanding and can be risky due to the use of heavy machinery and the presence of intense physical labor. However, the physical and mental health of construction workers in Nepal is often neglected. This study aimed to assess psychological distress (depression, anxiety, and stress symptoms) and its association with socio-demographic, lifestyle, and occupational factors among construction workers in Kavre district, Nepal.MethodsWe conducted a cross-sectional study from 1st October 2019 to 15th January 2020 among 402 construction workers in Banepa, and Panauti municipalities of Kavre district, Nepal. We collected data with face-to-face interviews using a structured questionnaire consisting of a) socio-demographic characteristics; b) lifestyle and occupational characteristics; and c) depression, anxiety and stress symptoms. We collected data using electronic forms in KoboToolbox and imported them into R version 3.6.2 for statistical analysis. We present parametric numerical variables as mean and standard deviation, and categorical variables as percentage and frequency. The confidence interval around proportion was estimated with the Clopper-Pearson method. We applied univariate and multivariable logistic regression to determine factors associated with depression symptoms, anxiety, and stress. The result of logistic regression was presented as crude odds ratio, adjusted odds ratio (AOR), and their 95% confidence interval (CI).ResultsThe prevalence of depression, anxiety and stress symptoms were 17.1% (95%CI: 13.6-21.2), 19.2% (95%CI: 15.5-23.4) and 16.4% (95%CI: 12.9-20.4), respectively. In multivariable logistic regression analysis, depression symptom was positively associated with poor sleep quality (AOR = 3.51; 95%CI: 1.5-8.19; p-value: 0.004); stress symptom was positively associated with Brahmin ethnicity (AOR = 3.76; 95%CI:1.34-10.58; p-value: 0.012) and current smoking (AOR = 2.0; 95%CI: 1.11-3.82 p-value: 0.022). But anxiety symptoms were not associated with any of the variables.ConclusionsThe prevalence of depression, anxiety, and stress symptoms were high among construction workers. Developing evidence-based and appropriate community-based mental health prevention programs among laborers and construction workers is recommended

An assessment of governance quality for community-based forest management systems in Asia: Prioritisation of governance indicators at various scales

Community-based forest management systems (CBFMS) are becoming increasingly popular in developing countries where 31% of the total forest is either managed or owned by the community. This paper presents the results of a four-country study conducted in 2017 in Nepal, Bhutan, India and Myanmar concerning the governance quality of CBFMS. The introduction outlines the global threat to forests, the contribution that forest-based emissions make to climate change, and the policy response of the international and national communities including REDD + . The next section provides a snapshot of CBFMS in the four case study countries, and is followed by an account of the methodology, approach, framework of analysis and sampling surveys undertaken during the course of, and informing, the research. The results of the surveys revealed that perceptions of governance quality, as well as governance priorities, varied between the countries, and also at the three levels of government (national, sub-national and local) within a country. For example, Myanmar and Bhutan had very high governance ratings from local levels compared to other levels, whereas, Nepal and India had similar ratings for all levels. Further, regarding the prioritisation of different indicators, Myanmar gave highest priority to “inclusiveness” at the local level but “democracy” at the national level. The reasons for the similarities and differences between and within these countries and the possible implications are discussed