Objectives: Global concern is increasing about the health effects of electronic waste (e-waste). This study examines the health impacts of heavy metal (HM) exposure among e-waste workers (EWWs) and community-dwelling adults (CDAs) in Northeastern Thailand and identifies factors associated with adverse health outcomes. Methods: A cross-sectional study was conducted of 164 EWWs and 164 CDAs. A survey was employed to collect data on participant characteristics, symptoms, anxiety, depression, and sleep quality. Urine samples were analyzed for lead (Pb) and cadmium (Cd) levels using atomic absorption spectrometry. Multiple logistic regression analysis was used to identify factors impacting health. Results: Across all participants, urinary Pb and Cd levels ranged from 5.30 µg/g to 29.50 µg/g creatinine and from 0.60 µg/g to 4.00 µg/g creatinine, respectively. The most frequently reported health issues pertained to musculoskeletal disorders (MSDs) at 38.70%, central nervous system (CNS) issues at 36.60%, and skin disorders at 31.10%. Multivariable analysis indicated that the presence of MSDs was significantly associated with exposure to Pb and Cd. Poor sleep quality (PSQ) was significantly linked to CNS problems, while body mass index was significantly related to skin disorders. Factors including primary education level or below, smoking, cleaning the house more than 3 times weekly, and PSQ were significantly linked to depression. Anxiety was significantly associated with PSQ. Conclusions Environmental exposure to Pb and Cd can have adverse health impacts in the form of MSDs. Depression and anxiety are common conditions among CDAs. Public health officials should monitor HM exposure and mental health within the community.

Objectives: Global concern is increasing about the health effects of electronic waste (e-waste). This study examines the health impacts of heavy metal (HM) exposure among e-waste workers (EWWs) and community-dwelling adults (CDAs) in Northeastern Thailand and identifies factors associated with adverse health outcomes. Methods: A cross-sectional study was conducted of 164 EWWs and 164 CDAs. A survey was employed to collect data on participant characteristics, symptoms, anxiety, depression, and sleep quality. Urine samples were analyzed for lead (Pb) and cadmium (Cd) levels using atomic absorption spectrometry. Multiple logistic regression analysis was used to identify factors impacting health. Results: Across all participants, urinary Pb and Cd levels ranged from 5.30 µg/g to 29.50 µg/g creatinine and from 0.60 µg/g to 4.00 µg/g creatinine, respectively. The most frequently reported health issues pertained to musculoskeletal disorders (MSDs) at 38.70%, central nervous system (CNS) issues at 36.60%, and skin disorders at 31.10%. Multivariable analysis indicated that the presence of MSDs was significantly associated with exposure to Pb and Cd. Poor sleep quality (PSQ) was significantly linked to CNS problems, while body mass index was significantly related to skin disorders. Factors including primary education level or below, smoking, cleaning the house more than 3 times weekly, and PSQ were significantly linked to depression. Anxiety was significantly associated with PSQ. Conclusions Environmental exposure to Pb and Cd can have adverse health impacts in the form of MSDs. Depression and anxiety are common conditions among CDAs. Public health officials should monitor HM exposure and mental health within the community.

Objectives: Global concern is increasing about the health effects of electronic waste (e-waste). This study examines the health impacts of heavy metal (HM) exposure among e-waste workers (EWWs) and community-dwelling adults (CDAs) in Northeastern Thailand and identifies factors associated with adverse health outcomes. Methods: A cross-sectional study was conducted of 164 EWWs and 164 CDAs. A survey was employed to collect data on participant characteristics, symptoms, anxiety, depression, and sleep quality. Urine samples were analyzed for lead (Pb) and cadmium (Cd) levels using atomic absorption spectrometry. Multiple logistic regression analysis was used to identify factors impacting health. Results: Across all participants, urinary Pb and Cd levels ranged from 5.30 µg/g to 29.50 µg/g creatinine and from 0.60 µg/g to 4.00 µg/g creatinine, respectively. The most frequently reported health issues pertained to musculoskeletal disorders (MSDs) at 38.70%, central nervous system (CNS) issues at 36.60%, and skin disorders at 31.10%. Multivariable analysis indicated that the presence of MSDs was significantly associated with exposure to Pb and Cd. Poor sleep quality (PSQ) was significantly linked to CNS problems, while body mass index was significantly related to skin disorders. Factors including primary education level or below, smoking, cleaning the house more than 3 times weekly, and PSQ were significantly linked to depression. Anxiety was significantly associated with PSQ. Conclusions Environmental exposure to Pb and Cd can have adverse health impacts in the form of MSDs. Depression and anxiety are common conditions among CDAs. Public health officials should monitor HM exposure and mental health within the community.

Objectives: Fine particulate matter pollution has emerged as a significant life-threatening issue in Thailand. Recognizing the importance of environmental health literacy (EHL) in disease prevention is crucial for protecting public health. This study investigated EHL levels and aimed to identify associated factors among village health volunteers (VHVs) in the upper northern region of Thailand. Methods: A cross-sectional study was conducted to collect data from 710 VHVs using the EHL assessment tool developed by the Department of Health, Thailand. Results: The overall EHL score was moderate (mean, 3.28 out of a possible 5.0), with the highest and lowest domain-specific mean score for the ability to make decisions (3.52) and the ability to access (3.03). Multiple linear regression revealed that the factors associated with EHL score were area of residence (urban areas in Chiang Mai: B=0.254; urban areas in Lampang: B=0.274; and rural areas in Lampang: B=0.250 compared to rural areas in Chiang Mai), higher education levels (senior high school: B=0.212; diploma/high vocational certificate: B=0.350; bachelor’s degree or above: B=0.528 compared to elementary school or lower), having annual health checkups compared to not having annual health check-ups (B=0.142), monthly family income (B=0.004), and individuals frequently facing air pollution issues around their residence (B=0.199) compared to those who reported no such issues. Conclusions The VHVs exhibited moderate EHL associated with residence area, education, health check-ups, family income, and residential air pollution. Considering these factors is vital for enhancing VHVs’ EHL through strategic interventions.