Faculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.
Helpo-Non-Governmental Development Organization, 2750-318 Cascais, Portugal.
Nutrients. 2024 Aug 22;16(16):2802. doi: 10.3390/nu16162802.
Food insecurity (FI) is a critical socioeconomic and public health problem globally, particularly affecting children's nutritional status and development. This cross-sectional study aimed to assess the prevalence of nutritional inadequacy among children and adolescents in the Cantagalo district of São Tomé and Príncipe (STP), in Central Africa. It also assessed their households' FI situation and examined sociodemographic, anthropometric, and nutritional characteristics associated with severe FI. Data included 546 children/adolescents (51.8% males, aged 9-15 years) from the eight public basic education schools. A structured questionnaire provided sociodemographic data, while anthropometric measurements assessed nutritional status. Dietary intake data were gathered using a single 24 h dietary recall, and the adjusted prevalences of nutritional inadequacy were obtained using version 2.0 of the PC-Software for Intake Distribution Estimation (PC-SIDE). The Household Food Insecurity Access Scale was used to assess FI, and households were classified as severely or non-severely food insecure. Multivariable binary logistic regression models adjusted for potential confounders identified factors related to FI. Children's/adolescents' thinness was exhibited in 34.1% of participants, and over 95% had inadequate intake of essential micronutrients, including iron. Notably, 73.7% were severely food insecure. A higher severity of FI was positively associated with a lower intake of iron and certain household head characteristics, such as being female or older, and negatively associated with having a home garden.
食物不安全(FI)是一个全球性的关键社会经济和公共卫生问题,尤其对儿童的营养状况和发育有影响。本横断面研究旨在评估圣多美和普林西比中部坎塔加洛区(STP)儿童和青少年的营养不足患病率,以及评估其家庭的食物不安全状况,并研究与严重食物不安全相关的社会人口学、人体测量学和营养特征。数据包括来自八个公立基础教育学校的 546 名儿童/青少年(51.8%为男性,年龄为 9-15 岁)。一份结构化问卷提供了社会人口学数据,而人体测量学测量评估了营养状况。使用单一 24 小时膳食回忆法收集膳食摄入数据,并使用摄入量分布估计软件(PC-SIDE)的版本 2.0 获得营养不足的调整流行率。使用家庭食物不安全访问量表来评估食物不安全情况,将家庭分为严重或非严重食物不安全。多变量二元逻辑回归模型调整了潜在的混杂因素,确定了与食物不安全相关的因素。34.1%的参与者表现出消瘦,超过 95%的参与者必需微量营养素摄入不足,包括铁。值得注意的是,73.7%的人严重食物不安全。FI 的严重程度越高,与铁和某些家庭户主特征(如女性或年龄较大)的摄入量较低呈正相关,与拥有家庭菜园呈负相关。