BACKGROUND: Worldwide, approximately 350 million people are currently employed in the construction industry. OBJECTIVE: To determine the prevalence, pain characteristics, and associated risk factors for musculoskeletal disorders (MSDs) among construction workers in Pakistan. METHODS: This study was a cross-sectional survey conducted from February to August 2019 among 666 construction workers. The data were collected using a questionnaire consisting of 4 sections: demographic information, a numerical pain intensity rating scale, a Nordic questionnaire to report prevalence, and pain characteristics. SPSS was used for data entry and analysis. RESULTS: The mean age of the construction workers was 34.49 years. Participants who reported pain were 397 out of 666 and 269 were those who reported no pain. The 12-month prevalence of pain among construction workers in more than one body area was 89% (n = 591) and the 7-day prevalence was 52% (n = 343); lower back pain was the most common type of pain with a 12-month prevalence of 27% (n = 180) and a 7-day prevalence of 17% (n = 112). Regarding the characteristics of the pain, 26% (173) of the workers suffered pain occasionally, 27% (180) participants had pain for≤2 hours per day, and 32.9% (219) had dull pain. Moreover, a significant relationship was found (p < 0.05) between MSDs and age, lifestyle, work experience, smoking habits, and absence from work. CONCLUSION: Musculoskeletal pain is highly prevalent, with lower back pain being the most commonly reported type. Absence from work and disability in performing normal daily activities have been reported as consequences of musculoskeletal pain. Moreover, this study underscores the importance of targeted preventive healthcare measures for construction workers.

Pesticides have great potential to contaminate resources of drinking water by percolating and leaching, when applied in the agriculture sector as well as in domestic region. Activated carbon (AC) and Biochar (BCH) were used for adsorption in a fixed-bed column system. Both of the adsorbent-packed columns indicated an increase in the breakthrough time for atrazine from 3350 to 5800 min and 3200 to 5700 min, chlorothalanil 3200–5600 min and 3150–5550 min, β-endosulfan 3050–5400 min and 2950–5400 min, and α-endosulfan 2900–5200 min and 2850–5200 min with bed heights from 10 cm to 15 cm, respectively. Similarly, when flow rate increased from 0.5 to 1.5 mL min−1 and contaminant concentration from 50–100 µg L−1, it resulted in a decrease in exhaust time. The models of Yoon–Nelson (R2 = 0.9427) and Thomas (R2 = 0.9921) describe the process of adsorption to be best well-under optimal conditions. Both the adsorbents would be efficiently utilized as the best adsorbents to remediate pesticide-contaminated water under optimal conditions. Pesticides adsorption onto adsorbents followed the order of atrazine > chlorothalanil > β-endosulfan > α-endosulfan.