当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Ashekur Rahman Mullick
This study aimed to assess to what extent food insecurity affects school absenteeism among rural school going children. A school based cross-sectional study was conducted among 460 rural school going children (class 4 to class 10) in Saltha upaziila of Faridpur district, Bangladesh from January-December, 2019. Children providing assent after getting consent from their parents were inducted as study participants. Semi-structured questionnaire was used to collect data on the food insecurity and socio-demographic variables. To examine further the paths from food insecurity to absenteeism through child work activities, recursive path analysis was used in which activities were regressed on child food insecurity by using linear regression and absenteeism was regressed on child food insecurity and work activities by using binary logistic regression using odds ratio and 95 % of confidence intervals. Level of significant was set at 0.05. Among the participants about 53.7% were female and in 52.7% cases participant’s father were farmer and their mean income was 98208.18 ± 13618.196 Taka per year. Findings of Binary logistic regression analysis also showed that food insecurity was positively associated with helping of parents for household shopping, cooking, taking care of siblings, participating in school sports, watching TV during leisure time. However, helping parents in field for raising food crops and taking evening nap were negatively associated with food insecurity. Findings of this study showed that the frequency of adolescent school absenteeism was significantly high (39.6 %) among moderately food insecure groups (P < 0.001). Age of participants (p=0.000), Educational status of participants (p=0.00), Head of family (p=0.017), House type (p=0.000), Paternal occupation (p=0.0145) and household economic status (p=0.000) were significantly associated with food insecurity status. Therefore, national policies and programs need to stress on how to improve family income, earning capacity, housing condition, educational status by introducing different types of opportunities and socioeconomic status to handle food insecurity which is a key contributor of school absenteeism