Loneliness and risky behaviours among mobile fishers in Elmina, Ghana: a convergent parallel mixed-method study

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: June 30, 2024

Abstract Background Loneliness affects individuals of all age groups, and mobile fishers are susceptible to loneliness due the nature their occupation. However, there is no study examining risky behaviours among in Ghana. Therefore, purpose this was examine fishers’ mobility history, prevalence loneliness, predictors effects on fishers, coping strategies address behaviour Elmina, Methods This a convergent parallel mixed-method involving 385 Elmina. A questionnaire interview guides were used collect data from respondents. Descriptive statistics, Pearson’s chi-square Fisher exact tests, binary logistic regression analyse quantitative data, while qualitative analysed thematically. Results From findings, most (54.5%) travelled alone (45.7%). Approximately 83% experienced loneliness. Male (AOR = 0.049; 95% CI 0.003–0.741; p-value 0.030), affiliated with African Traditionalist religion 0.043; 0.002–0.846; 0.038), who working colleagues 0.002; 0.000-0.023; ≤ 0.001), less likely be experience Feeling bored, isolated worried/anxious main perceived Alcohol consumption finding companion spend time cope Most male consumed alcohol (92.5%; 0.001) spent companions (73.5%; The findings showed that engaged (excessive consumption, casual sex, smoking marijuana tobacco). more excessive (97.6% vs. 74.5%; sex (88.2% 61.7%, (43.0% 13.0%, tobacco (49.4% 19.1%; than female fishers. Conclusions common an urgent need design interventions help reduce

Language: Английский

Predicting the Risk of Loneliness in Children and Adolescents: A Machine Learning Study

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 947 - 947

Published: Oct. 15, 2024

Loneliness is increasingly emerging as a significant public health problem in children and adolescents. Predicting loneliness finding its risk factors adolescents lacking necessary, would greatly help determine intervention actions.

Language: Английский