Vajira Medical Journal: Journal of Urban Medicine

245-256

Authors: Pantri Kirdchok, Juthaporn Taepakdee, Chotiman Chinvararak

Objective: To study parent-adolescent relationship patterns of junior high school students in Ubonratchathani Province and its association with family factors. Methods: A cross-sectional descriptive study was conducted on students in a public junior high school in Ubon Ratchathani Province in 2018. Self-reported questionnaires consisted of demographic data of students and their parents, questionnaire about intrafamilial relationships and the Chulalongkorn Family Inventory. Descriptive statistics were presented as frequency, percent and mean. The chi-square test and logistic regression analysis were used to find the associated factors of a parent-child relationship. Results: There were 733 junior high school student participants; 63.4% were female. Eighty-eight percent reported a closed relationship with their mother, while 66.4% reported a closed relationship with their father. Fifty-two percent of students choose to consult with their parents, and 35.7% choose to consult with friends. The majority (82.8%) of parental marital status were married. Associated factors of closed relationships were 3 domains of family functions: problem-solving, communication and affective responsiveness, parental relationship, and parental marital status. Conclusion: Most junior high school students had a closed relationship with their mother and father. The associated factors of this closed relationship were family function on problem-solving, communication and affective responsiveness, parents’ marital relationship and parental marital status.

267-276

Authors: Nongnuch Polruamngern, Nitchawan Kerdcharoen, Tanita Ungrungseesopon

Objective: To study the level and relationship of resilience and mental health in urban late adolescents. Method: This is a cross-sectional descriptive study. The participants are undergraduate students in Navamindradhiraj University who are between the ages of 18-21 years. The outcome measures include general personal data, resilience quotient questionnaire and depression anxiety stress scale (DASS-21). The statistical analyses are Pearson Chi-square and multiple regression analysis. Results: From the total participants of 425, most of them is female (82.6%), domicile outside of Bangkok (59.8%), lives with family (74.6%), the eldest child (52.9%), with two siblings (46.4%), studied in health sciences (90.6%), average GPA 3.32 (S.D. = 0.43) and enrolled in a direct admission system (70.6%). Most of them had resilience quotient at normal level (56.5%). The average resilience scores were 54.6 ± 5.92 (mean ± S.D.). Mental health problems were mostly anxiety (65.6 %) followed by stress (58.8 %), and depression (51.3 %). The extremely severe mental health problems among participants were found in anxiety (7.8 %), stress (19.5 %), and depression (8.0 %). Resilience is inversely related to stress, anxiety and depression (r= -.399, -.345 and -.345 respectively, p<0.01). From stepwise multiple regression analysis, resilience in the domain of will power together with emotional stability can predict depression and stress. The variance of depression is 29.4 percent (R2 = 0.294, p<0.01). And the variance of stress is 16.6 percent (R2 = 0.166, p<0.01). Will power domain is the key predictor of depression (β =-0.318, p<0.01) and emotional stability domain is the key predictor of stress (β = -0.271, p<0.01). Emotional stability domain is also the only domain that can statistically predict anxiety (β = -0.343, p<0.01). The variance of depression is 11.7 percent (R2 = 0.117, p<0.01). Conclusion: Resilience is an important protective factor for late adolescents’ mental health problems. Therefore, in order to reduce stress, anxiety and depression in late adolescents, an enhancement of resilience is beneficial, particularly in the domain of emotional instability and will power.

287-298

Authors: Sonsawan Sangprasert, Swangjit Suraamornkul

Objective: The study evaluated the effect of hemoglobin levels on non-invasive blood glucose measurement. Method: Retrospective study in Type 2 diabetic patient, who were treated at Vajira Hospital from October 2018 to January 2019, were collected including baseline characteristic data and laboratory data from Ephis program. The data will be analyzed to determine the effect of hemoglobin levels on non-invasive blood glucose beasurement. Result: A total of 200 type 2 diabetic patients were enrolled in the study. The average hemoglobin was 10.29±2.09 g/dL. The sample group with anemia accounted for 67%. The average glucose measured by non-invasive blood glucose meter was 109.57±31.38 mg/dL, by venous blood glucose was 154.37±57.27 mg/dL with statistically significant differences (p<0.001). The absolute relative difference values of the glucose measured by non-invasive blood glucose meter and venous blood glucose was 29.95±21.45 mg/dL. The result of study on effect of hemoglobin levels on non-invasive blood glucose measurement in type 2 diabetic patients with or without anemia were no significant differences in the absolute relative difference values of the glucose measured by non-invasive blood glucose meter and venous blood glucose (p=0.425). The analysis of subgroups with anemia was classified by severity into mild, moderate, severe, and very severe. There was no difference in the absolute relative difference values of the glucose measured by the non-invasive blood glucose meter between subgroups (p=0.266, 0.852, 0.335 and 0.493, respectively). Conclusion: The hemoglobin levels do not affect on the non-invasive blood glucose measurement in type 2 diabetic patients with or without anemia.