OBJECTIVES: This study compared foot arch height, plantar fascia thickness, a range of motion assessments of the ankle joint, strength of the ankle joint, plantar pressure, and balance between obese and normal weight young adults. METHODS: Fifty-two participants were required for the present study design to achieve 80% power, 0.8 effect size (η2), and an alpha level of 0.05. The participants were categorized to normal weight or obese groups based on BMI (≤ 24 kg/m2 and ≥ 25 kg/m2, respectively). The foot and ankle disability index and Sport survey were completed by the participants before the measurements. Foot arch height was measured using the navicular drop test, and plantar fascia thickness was measured using ultrasound. Plantar pressure and balance tests were also conducted, followed by ankle joint range of motion and strength tests. RESULTS: Foot arch height and plantar fascia thickness was significantly higher in the obese group compared with the normal weight group (p < 0.01). There were significant differences in eversion of ankle strength, plantar pressure in the big toe and heel and anterior-posterior balance between normal and obese weight groups (p < 0.05). CONCLUSION: Obese young adults had more abnormalities in the medial longitudinal arch, plantar fascia, and plantar pressure as well as weakened ankle eversion strength and balance problems compared with the normal weight group.
Ankle ; Ankle Joint ; Body Mass Index ; Fascia ; Foot ; Hallux ; Heel ; Humans ; Obesity ; Range of Motion, Articular ; Sports ; Ultrasonography ; Young Adult

No abstract available.
Intervertebral Disc* ; Zygapophyseal Joint*

Background: This study aimed to identify the factors influencing health promotion behaviors for infants and toddler, focusing on the time spent by mothers using smartphone, eHealth literacy, maternal role performance confidence, and online social support. Methods: This study surveyed 136 women who gave birth to a child in 2023. For this study, recruitment announcements were made on popular parenting websites. Multiple regression analysis was performed to identify the factors affecting health promotion behaviors. Results: The mean age of the participants was 33.8 years, and the mean age of the children was 13.3 months old. Mothers spent 20.2 hours weekly on smartphone to access health information. A total of 86.7% of the respondents indicated that they primarily used the Internet to make health decisions. Factors that influenced health promotion behaviors were role performance confidence (β=0.54, P<0.001), eHealth literacy (β=0.18, P=0.015), online social support (β=0.16, P=0.022), and time spent on smartphone (β=-0.17, P=0.006), with an explanatory power of 51.3% (F=29.43, P<0.001). Conclusions To improve the health promotion behaviors of mothers for their infants and young children, it is believed that interventions that increase confidence in their roles, online social support, and eHealth literacy are required, and that smartphone screen time should be limited. These baseline data can guide the development of effective intervention programs to improve healthcare for infants and toddlers.

Background: This study aimed to identify the factors influencing health promotion behaviors for infants and toddler, focusing on the time spent by mothers using smartphone, eHealth literacy, maternal role performance confidence, and online social support. Methods: This study surveyed 136 women who gave birth to a child in 2023. For this study, recruitment announcements were made on popular parenting websites. Multiple regression analysis was performed to identify the factors affecting health promotion behaviors. Results: The mean age of the participants was 33.8 years, and the mean age of the children was 13.3 months old. Mothers spent 20.2 hours weekly on smartphone to access health information. A total of 86.7% of the respondents indicated that they primarily used the Internet to make health decisions. Factors that influenced health promotion behaviors were role performance confidence (β=0.54, P<0.001), eHealth literacy (β=0.18, P=0.015), online social support (β=0.16, P=0.022), and time spent on smartphone (β=-0.17, P=0.006), with an explanatory power of 51.3% (F=29.43, P<0.001). Conclusions To improve the health promotion behaviors of mothers for their infants and young children, it is believed that interventions that increase confidence in their roles, online social support, and eHealth literacy are required, and that smartphone screen time should be limited. These baseline data can guide the development of effective intervention programs to improve healthcare for infants and toddlers.

Background: This study aimed to identify the factors influencing health promotion behaviors for infants and toddler, focusing on the time spent by mothers using smartphone, eHealth literacy, maternal role performance confidence, and online social support. Methods: This study surveyed 136 women who gave birth to a child in 2023. For this study, recruitment announcements were made on popular parenting websites. Multiple regression analysis was performed to identify the factors affecting health promotion behaviors. Results: The mean age of the participants was 33.8 years, and the mean age of the children was 13.3 months old. Mothers spent 20.2 hours weekly on smartphone to access health information. A total of 86.7% of the respondents indicated that they primarily used the Internet to make health decisions. Factors that influenced health promotion behaviors were role performance confidence (β=0.54, P<0.001), eHealth literacy (β=0.18, P=0.015), online social support (β=0.16, P=0.022), and time spent on smartphone (β=-0.17, P=0.006), with an explanatory power of 51.3% (F=29.43, P<0.001). Conclusions To improve the health promotion behaviors of mothers for their infants and young children, it is believed that interventions that increase confidence in their roles, online social support, and eHealth literacy are required, and that smartphone screen time should be limited. These baseline data can guide the development of effective intervention programs to improve healthcare for infants and toddlers.

Background: This study aimed to identify the factors influencing health promotion behaviors for infants and toddler, focusing on the time spent by mothers using smartphone, eHealth literacy, maternal role performance confidence, and online social support. Methods: This study surveyed 136 women who gave birth to a child in 2023. For this study, recruitment announcements were made on popular parenting websites. Multiple regression analysis was performed to identify the factors affecting health promotion behaviors. Results: The mean age of the participants was 33.8 years, and the mean age of the children was 13.3 months old. Mothers spent 20.2 hours weekly on smartphone to access health information. A total of 86.7% of the respondents indicated that they primarily used the Internet to make health decisions. Factors that influenced health promotion behaviors were role performance confidence (β=0.54, P<0.001), eHealth literacy (β=0.18, P=0.015), online social support (β=0.16, P=0.022), and time spent on smartphone (β=-0.17, P=0.006), with an explanatory power of 51.3% (F=29.43, P<0.001). Conclusions To improve the health promotion behaviors of mothers for their infants and young children, it is believed that interventions that increase confidence in their roles, online social support, and eHealth literacy are required, and that smartphone screen time should be limited. These baseline data can guide the development of effective intervention programs to improve healthcare for infants and toddlers.

No abstract available.
Durapatite* ; Forehead*

No abstract available.
Arthroplasty, Replacement, Hip*

OBJECTIVES: Significant progress has been made in understanding psychosocial, psychological, and environmental factors associated with suicide. However it is only recently that attention has been paid to the understanding of the neurobiology of suicide. The aim of this study was to examine the relationship between platelet serotonin level and suicidal behavior and psychological features of the suicidal attempters. METHODS: After a suicidal attempt platelet serotonin level was measured from 21 patients and compared it with those from depression patients and normal controls. Also MMPI, HAM-D, Barratt impulsiveness scale(BIS) were done to evaluate their psychological features. RESULTS: 1) There was no significant difference in sex ratio of the suicidal attempters. 2) There was no significant difference in platelet serotonin levels among three groups. 3) The analysis of MMPI revealed that the scores of D, Hs, Pt in clinical scales were significantly higher in suicide patients and scores of D, Pa, Si were in depression patients. 4)The HAM-D score was significantly higher in depression and suicide patients, especially in depression patients. 5) The analysis of Barratt impulsiveness scale revealed that the scores of nonplanning, motor and cognitive impulsiveness scale were significantly higher in suicide patients. CONCLUSIONS: There was no significant difference in platelet serotonin levels among three groups. However the analysis of psychological features revealed significant differences. Therefore we concluded that psychological examinations are benefit to evaluate the suicidal tendency.
Blood Platelets* ; Depression ; Humans ; MMPI ; Neurobiology ; Serotonin* ; Sex Ratio ; Suicide ; Weights and Measures

OBJECTIVES: This study was conducted to propose the need of re-establishing the criteria of the body weight classification in the elderly. We compared the Asia-Pacific Region Criteria (APR-C) with Entropy Model Criteria (ENT-C) using Morbidity rate of chronic diseases which correlates significantly with Body Mass Index (BMI). METHODS: Subjects were 886 elderly female participating in the 2007-2009 Korea National Health and Nutrition Examination Survey (KNHANES). We compared APR-C with those of ENT-C using Receiver Operating Characteristics (ROC) curve and logistic regression analysis. RESULTS: In the case of the morbidity of hypertension, the results were as follows: Where it was in the T-off point of APR-C, sensitivity was 67.5%, specificity was 43.1%, and Youden's index was 10.6. While in the cut-off point of ENT-C, it was 56.7%, 56.6%, and 13.3 respectively. In the case of the morbidity of diabetes, the results were as follows: In the cut-off point of APR-C, Youden's index was 14.2. While in the cut-off point of ENT-C, it was 17.2 respectively. The Area Under the ROC Curve (AUC) of the subjects who had more than 2 diseases among hypertension, diabetes, and dyslipidemia was 0.615 (95% CI: 0.578-0.652). Compared to the normal group, the odds ratio of the hypertension group which will belong to the overweight or obesity was 1.79 (95% CI: 1.30-2.47) in the APR-C, and 2.04 (95% CI: 1.49-2.80) in the ENT-C (p > 0.001). CONCLUSIONS: We conclude that the optimal cut-off point of BMI to distinguish between normal weight and overweight was 24 kg/m2 (ENT-C) rather than 23 kg/m2 (APR-C).
Aged* ; Body Mass Index* ; Body Weight ; Chronic Disease* ; Classification ; Dyslipidemias ; Entropy* ; Female ; Humans ; Hypertension ; Korea ; Logistic Models ; Nutrition Surveys ; Obesity ; Odds Ratio ; Overweight ; ROC Curve ; Sensitivity and Specificity