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Pattern of step counts of inpatients who undergo a gynecologic surgery
( Eunjin Song ),( Yoo-jin Choi ),( Sooyoung Yoo ),( Dong Hoon Suh ),( Jae Hong No ),( Yong Beom Kim ),( Kidong Kim ) 대한산부인과학회 2018 대한산부인과학회 학술대회 Vol.104 No.-
Objective: To describe the pattern of step counts of inpatients who undergo a gynecologic surgery Methods: Minute-level, peri-operative step counts data were gathered from 10 patients who undergo a midline incision, gynecologic surgery. From two day before surgery to discharge day, patients were required to apply a accelerometer (Lifegram, LG) to a wrist (usually at a dominant arm, but not controlled). During a bath and sleep, the patients were allowed to dislodge the accelerometer. Data collected through accelerometers were summarized and visualized using various analytic tools. The association of pattern of step counts with several clinical variables were explored. Results: Median age was 51 (min 31, max 75); median height was 156 cm (min 151, max 163); median weight was 59 kg (min 46, max 80). The indication of surgery was staging of cancer in most patients. Median time of activity per day was 59 minutes (min 30, max 168). The maximal number of steps per minutes ranged between 59 and 144 (median 129). Patients tend to walk more in the morning than afternoon. Step counts escalated as postoperative day increased, but do not recovered to preoperative level. Patients encouraged to walk exercise more regularly. The pattern of step counts did not different according to age, height and weight. Conclusion: We successfully describe the pattern of step counts of inpatients who undergo gynecologic surgery. Features extracted from step counts might be used to predict clinical outcomes.
Yoo Hyelim,Jo Eunbin,Lee Hyeongyeong,Ko Eunji,Jang Eunjin,Sim Jiwon,Park Sohyun 한국영양학회 2024 Nutrition Research and Practice Vol.18 No.1
BACKGROUND/OBJECTIVES Happiness is an important factor in life, and food literacy (FL) has been emphasized as a core concept for a happy and healthy life. This study examined the level of happiness of Seoul citizens according to their sociodemographic factors and their association with FL. SUBJECTS/METHODS This study used the data from the Seoul Food Survey, a cross-sectional study conducted on 4,039 Seoul citizens from September to October 2021. FL was measured using a validated questionnaire consisting of 33 items from 3 sub-domains: 14 items in the nutrition and safety domain, 8 items in the cultural and relational domain, and 11 items in the socio-ecological domain. Statistical analysis involved descriptive statistics and multivariate regression analysis. RESULTS Various sociodemographic factors, such as household income, subjective health status, and food insecurity, were found to be associated with the level of happiness. The level of FL was also associated with the happiness scores. After adjusting for variables associated with happiness, the participants with the highest quartile FL scores were 7.32 times more likely to respond that they were happy than those with the lowest FL score. Three FL domains and total FL showed linear increases in overall happiness after controlling for subjective health status and sociodemographic factors (P < 0.001). CONCLUSIONS After adjusting for the related covariates, higher levels of FL were associated with higher scores in happiness. Based on this study, it would be meaningful to evaluate ways to intervene in FL to improve the level of happiness among the general population. BACKGROUND/OBJECTIVES Happiness is an important factor in life, and food literacy (FL) has been emphasized as a core concept for a happy and healthy life. This study examined the level of happiness of Seoul citizens according to their sociodemographic factors and their association with FL. SUBJECTS/METHODS This study used the data from the Seoul Food Survey, a cross-sectional study conducted on 4,039 Seoul citizens from September to October 2021. FL was measured using a validated questionnaire consisting of 33 items from 3 sub-domains: 14 items in the nutrition and safety domain, 8 items in the cultural and relational domain, and 11 items in the socio-ecological domain. Statistical analysis involved descriptive statistics and multivariate regression analysis. RESULTS Various sociodemographic factors, such as household income, subjective health status, and food insecurity, were found to be associated with the level of happiness. The level of FL was also associated with the happiness scores. After adjusting for variables associated with happiness, the participants with the highest quartile FL scores were 7.32 times more likely to respond that they were happy than those with the lowest FL score. Three FL domains and total FL showed linear increases in overall happiness after controlling for subjective health status and sociodemographic factors (P < 0.001). CONCLUSIONS After adjusting for the related covariates, higher levels of FL were associated with higher scores in happiness. Based on this study, it would be meaningful to evaluate ways to intervene in FL to improve the level of happiness among the general population.
Yoo Hyelim,Jo Eunbin,Lee Hyeongyeong,Ko Eunji,Jang Eunjin,Sim Jiwon,Kim Kirang,Park Sohyun 한국영양학회 2023 Nutrition Research and Practice Vol.17 No.5
BACKGROUND/OBJECTIVES: Food literacy (FL) is a crucial skill for selecting sustainable and healthy food options, necessitating the identification of vulnerable groups in the community using valid measurement tools. Identif ying weak domains in FL is essential for enhancing the overall FL. This study examined the FL levels of Seoul citizens based on their sociodemographic characteristics and assessed the relationship between FL, food intake, and weight status. SUBJECTS/METHODS: This study utilized the data from the Seoul Food Sur vey, a cross- sectional study employing representative samples of Seoul citizens. Data collection occurred from September to October 2021, with 4,039 citizens aged 18 yrs and above participating in face-to-face sur veys. Thirty-three FL items were assessed, comprising 14 items in the nutrition and safety (NS) domain, eight items in the cultural and relational (CR) domain, and 11 items in the socio-ecological (SE) domain. In addition, data on food intake sufficiency and obesity status were collected. The descriptive statistics, t-tests, analysis of variance, and logistic regression analysis were used for analysis. RESULTS: Men, students, young adults, older citizens, and people experiencing food insecurity had the lowest scores for all the FL domains. The highest quartile group of NS scores had a higher probability of consuming adequate ser vings of vegetables and fruits, with significant linear trends obser ved (P for trend < 0.05). In all three FL domains, the odds ratio for obesity was significantly lower in the groups with high FL scores (P < 0.05). CONCLUSIONS: A close relationship was obser ved between low FL, obesity, and food intake, even after controlling for other covariates. Vulnerable groups with low FL were also identified. Therefore, it is essential to develop programs to improve FL and the health and well-being of these groups.