Objectives This study was conducted to investigate the status of total sugar intake and contributing foods in Korea according to age groups.
Methods This study used 24-hour dietary recall data from the 8th Korea National Health and Nutrition Examination Survey (2019–2021) to investigate the nutritional and total sugar intake status among Koreans. A total of 18,338 research participants (≥3 years old) were included in this study. To analyze the types of foods contributing to total sugar intake, these foods were categorized into 15 types. Moreover, we examined the total sugar intake and ranked the most consumed foods by age groups (3–11 years, 12–18 years, 19–34 years, 35–49 years, 50–64 years, over 65 years). A survey procedure was employed for statistical analysis.
Results The energy intake ratio from total sugars was approximately 12%–15%, which was within the recommended range. However, the proportion of individuals consuming total sugar exceeding 20% of their total caloric intake is nearly 20%, raising concerns about excessive sugar consumption. Furthermore, the percentage of participants whose intake of sugar from processed foods exceeded 10% of their total calories was highest in the 12–18 age group at 37.1%, followed by the 3–11 age group at 35.2%, and the 19–34 age group at 34.0%. Carbonated drinks, cola, and cider were the primary foods consumed by children and adolescents (3–18 years old) and young adults (19–34 years old). For middle-aged and older adults, mixed coffee with sugar and cream was a prominent contributor to sugar intake.
Conclusions This study investigated sugar consumption patterns among Koreans, finding the principal foods contributing to this intake. Identifying these contributors is pivotal, given their potential impact on public health.
Objectives This study compared the nutritional intakes of early and late preterm infants in a neonatal intensive care unit (NICU) and at home. The dietary problems and the need for community care services for premature infants were further investigated. Methods This is a cross-sectional and descriptive study on 125 preterm infants and their parents (Early preterm n = 70, Late preterm n = 55). The data were collected by surveying the parents of preterm infants and from hospital medical records. Results No significant differences were obtained between the early and late preterm infant groups when considering the proportion of feeding types in the NICU and at home. Early preterm infants were fed with a greater amount of additional calories at home and had more hours of tube feeding (P = 0.022). Most preterm infants had feeding problems. However, there was no significant difference between early and late preterm infants in the mental pain of parents, sleeping, feeding, and weaning problems at home. Many parents of preterm babies had no external support, and more than half the parents required community care to take care of their preterm babies. Conclusions Regardless of the gestational age, most preterm infants have several problems with dietary intake. Our study indicates the need to establish community care services for preterm infants.
Objective The objective of this study was to verify the validity of a mobile phone application (app) that applies a 24-hour dietary recall with meal photos, as a means of being a more accurate method of estimating dietary sodium intake. Methods Of the 203 subjects enrolled, 172 subjects (84 males and 88 females) were selected for the final analysis, excluding those with an intake less than 500 kcal and urine output less than 500 ml. Dietary sodium assessment methods used for comparing with the 24-hour urinary sodium excretion are as follows: 1) face-to-face 24-hour dietary recall, 2) 24-hour dietary recall using the mobile app, 3) face-to-face 24-hour dietary recall considering liquid intakes from soup, stew, water kimchi and noodle, etc (liquid-based dishes), 4) 24-hour dietary recall using the mobile app considering liquid intakes from liquid-based dishes, and 5) food frequency questionnaire. Repeated ANOVA with Bonferroni method was used for comparing the average sodium intake, and Pearson’s correlation was applied to correlate the methods used. Results In women, no significant difference was observed in the average sodium intake between all methods. Moreover, analysis in men and total adults revealed no significant difference between the 24-hour urinary sodium secretion, and 24-hour dietary recall using the app and 24-hour dietary recall using the app considering liquid intakes.
Sodium intake by food frequency questionnaire was significantly different when compared with the intake determined from 24-hour urinary sodium excretion. Sodium intake from all methods (except food frequency questionnaire) significantly correlated with values obtained from 24-hour urine sodium excretion. Conclusions Results of this study validated a mobile phone app using a 24-hour dietary recall with meal photos to better estimate dietary sodium intakes. It is believed that further studies in the future will enable the application as a tool to more accurately determine sodium intake.
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