PURPOSE: This study explores the menstrual experiences of people with DSD and sex reassignment in Nigeria.
METHODS: A qualitative approach with a phenomenological study design was employed in this study to explore and describe the experiences of people with DSD at the Usmanu Danfodiyo University Teaching Hospital in Sokoto, Nigeria. The data were collected using face-to-face interviews, transcribed verbatim, and analyzed using NVivo software.
RESULTS: The findings show that the participants experienced menstrual problems: men with menstruation and women with amenorrhea. The female participants generally described amenorrhea as a disappointment and linked menstruation with womanhood. Amenorrhea evinced both emotional and psychological effects. However, some of the female participants considered amenorrhea in a positive light and were happy with their lives without menstruation. The menstrual experiences of male participants included menarche, lower abdominal pain, regular monthly bleeding, and ovulation. The male participants described menstruation as a disaster in their lives and a source of anxiety, suicidal ideation, and depression. Menstruation negatively affected their psychosocial well-being.
CONCLUSIONS: The menstrual experience of individuals with DSD negatively affects their quality of life. The women with DSD in this study showed a generally poor knowledge of menarche, menstruation, and puberty, indicating that their parents had ignored the initial symptoms of DSD. DSD were only recognized at puberty because of the development of ambiguous physical traits and of the onset of menstruation in men and the confirmation of amenorrhea in women.
METHODS: A two-arm randomized controlled trial study using double blinding method was conducted with 150 nurses from two referral hospitals. Stratified simple random method was used to choose eligible nurses. For video self-instruction training (intervention group), participants learnt the CPR training via computer in a simulation lab for 7 days, in their own available time whereas for instructor-led training (control group), a 1-day program was conducted by AHA certified instructors. A generalized estimated equation model was used for statistical analysis.
RESULTS: Generalized Estimated Equation showed that there were no significant differences between the intervention group (p = 0.055) and control group (p = 0.121) for both CPR knowledge and skills levels respectively, whereas higher probability of having good knowledge and skills in a post-test, one month and three-month follow-up compared to baseline respectively, adjusted with covariates (p < 0.05). Participants had a lower probability of having good skills at 6-month follow-up compared to baseline, adjusted with covariates (p = 0.003).
CONCLUSION: This study showed no significant differences between the two training methods, hence video self-instruction training is suggested can train more nurses in a less cost-effective manner to maximize resource utilization and quality nursing care. It is suggested to be used to improve knowledge and skills among nurses to ensure cardiac arrest patients receive excellent resuscitation care.
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.