Objective: This study assessed the impact of heat on the health and productivity among maize farmers in a hot tropical country.
Methods: A cross-sectional study was conducted among 396 maize farmers, randomly selected across Gombe province, Nigeria. The wet bulb globe temperature monitor (WBGT) Model QuesTemp036 was used in determining the heat index. Health was determined using a validated questionnaire, while productivity was determined by recording work output based on the number of ridges cultivated during the working hours.
Results: The farms recorded mean heat index with standard deviation (SD) of 31.56 (2.19) and 34.08 (1.54) in the hours of 9 am to 12 pm and 12-3 pm respectively, which exceeded the threshold level set by the ACGIH. Heavy sweating (93.2%), tiredness (48.5%), dizziness (34.1%), and headache (40.4%) were experienced by the respondents almost on daily basis. The finding further showed a significant difference in the farmers' productivity during the three time duration of the work day (p < 0.001). The productivity was significantly higher between the hours of 6-9 am (p < 0.001) and 12-3 pm (p < 0.001), compared to the hours of 9 am to 12 pm (p < 0.001). The factors that significantly predict the productivity outcome include temperature (p < 0.001), gender (p < 0.001), age (p=0.033), and BMI (p=0.008).
Conclusion: The farmers were frequently experiencing heat exhaustion which decreased their productivity.
METHODS: A cross-sectional study was conducted among 212 respondents who were selected through simple random sampling. Data was generated using a validated and reliable self-administered questionnaire.
RESULTS: The majority of the respondents are male, aged less than 35 years old, non-Malaysian, single, first-degree holders, not working, received a monthly income of less than 3264 Malaysian Ringgit, aware of food poisoning outbreak and the sources of their information of the food poisoning outbreak were television, the internet, newspaper, Online journals, friends, Facebook, community, nurse, drinking raw milk for the second time, information from their parents, relatives, restaurant, and radio. Majority had previous history of food poisoning illness but didn't correctly confirm the causes of their food poisoning illness. Majority had poor knowledge, acceptable attitude, and good practice of food poisoning. A significant association was observed for citizen, marital status, awareness of food poisoning outbreak, and previous history of food poisoning illness with knowledge. Gender and awareness of food poisoning outbreak were significantly associated with attitude. Attitude and practice were significantly associated. Logistic regression revealed that being married, awareness of food poisoning outbreak, and previous history of food poisoning illness are predictors for good knowledge. Female respondents and awareness of food poisoning outbreak are predictors for acceptable attitude.
CONCLUSION: Documentation of the identified poor knowledge and factors affecting knowledge, attitude, and practice provides essential information on the baseline indicators towards the risk of food poisoning among the respondents. A relevant interventional program is highly recommended to prevent the potential risks of food poisoning outbreak among them.
MATERIALS AND METHODS: A total of 170 blood donors were recruited into the study. Blood donors were classified into three groups: normal, latent iron deficiency and iron deficiency anaemia based on their Hb, serum ferritin and transferrin saturation (TSAT) levels. The diagnostic performance of %Hypo-He was evaluated with a validation group comprising 160 blood donors.
RESULTS: Receiver operating characteristic (ROC) curve analysis showed that %Hypo-He is an excellent parameter for detecting iron deficiency, with an area under the curve (AUC) of 0.906, a confidence interval (CI) of 0.854-0.957 at a cut-off of 0.6%, and 74.51% sensitivity and 88.24% specificity. A moderate negative correlation between %Hypo-He and TSAT (ρ = -0.576 [P