A Comparison Quality of Life of Children of Seasonal Agricultural Workers and Local Residents in Turkey.

OBJECTIVES: Children of seasonal agricultural workers (SAW) live in the worst conditions of agricultural labor and, consequently, face many health risks. Therefore, it is essential to evaluate the quality of life (QoL) of these children. This study aimed to compare the QoL between children of SAW and local residents in semi-rural areas of Eskisehir, Turkey, and determine the factors affecting them. METHODS: In this cross-sectional study, we included children of SAW living in temporary camp areas and those of local residents visiting the Family Health Center close to the camp areas. Basic sociodemographic data collection forms and the Pediatric Quality of Life (PedsQL) scale were employed for data collection. Univariate and multivariate analyses were used to determine factors that had a significant effect on the QoL. RESULTS: We included 324 children of SAW and 256 local children. As per the multivariate analysis, QoL was lower in children aged between 8 and 12 years, with physician-diagnosed chronic diseases, and children of SAW. Also, there was no significant association between gender, parental education levels, family income, number of siblings, school attendance status, and QoL level. CONCLUSION: The QoL of children of SAW families was significantly lower than their peer local children. Therefore, the appropriate authorities must prioritize the planning and implementation of health services for SAW families.

Assessment of health-promoting lifestyle behaviors of adults living in the semi-rural area.

OBJECTIVE: The aim of the present study was to determine the level of healthy lifestyle behaviors and related factors in the individuals who applied to the primary health-care center. METHODS: The study is a cross-sectional study of adults aged 18 years and over who applied to the primary health-care center. The sample size of the study was calculated as 992 people and 995 participants were accessible. The health-promoting behaviors of the individuals were assessed by the Health-Promoting Lifestyle Profile II (HPLP-II). In the analysis of the data, Mann-Whitney U-test, Kruskal-Wallis tests, and multiple linear regression analysis were used to determine effective variables on scale score. RESULTS: The mean age of the participants was 43.8±17.1. Of the total participants, 45.7% (n=455) of them were female. The median score obtained from the HPLP-II was 132. Health responsibility, nutrition, and interpersonal relations subscale scores of male were lower than female patients, while physical activity subscale scores were higher in male patients. In participants under the age of 48 years in the study, health responsibility, nutrition, interpersonal relations, and stress management subscale scores were higher. The scores of the married participants were higher than the areas out of the stress management subdimension. Stress management subscale scores were higher in individuals with primary and lower education levels in terms of health care, nutrition, and interpersonal relations. Those who had good family income status and health perception scores also received higher scores in terms of all subscale scores. CONCLUSION: Gender, age group, marital status, education level, income level, physician-diagnosed chronic disease history, and perceived health status were found to be related to health-promoting behaviors. Educational programs should be prepared in these issues by determining the issues that individuals are lacking in protecting and developing their health and social needs should be taken into consideration when these programs are being prepared.