Novie Amelia Chozie, Novie Amelia
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Journal : Paediatrica Indonesiana

Effects of the COVID-19 pandemic on emotional and behavioral problems and sleep problems in adolescents Medise, Bernie Endyarni; Reza, Maulana Okta; Devaera, Yoga; Soebadi, Amanda; Chozie, Novie Amelia; Pudjiadi, Antonius H
Paediatrica Indonesiana Vol 63 No 5 (2023): September 2023
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi63.5.2023.383-8

Abstract

Background The asynchrony rapid phase of cognitive, physical and emotional development occurring in adolescence may result in various issues such as risk-taking behavior, psychosocial and emotional problems. School closure during the COVID-19 pandemic has caused a tremendous change in adolescent lifestyle and habits, including sleep patterns. causing added challenges to adolescents’ emotional and behavioral problems. Objective To identify the association between sleep disorders with emotional and behavioral problems during the COVID-19 pandemic in urban and rural adolescents. Methods We conducted a cross-sectional study among adolescents aged 12-18 years from November to December 2021 in two provinces, DKI Jakarta and Riau Islands. We recruited students consecutively from randomly selected junior and senior high schools. We used the Strengths and Difficulties Questionnaire (SDQ) and the Pittsburgh Sleep Quality Index (PSQI) to screen for emotional and behavioral problems and for sleep disorders, respectively. The questionnaires were sent electronically to each subject after obtaining parental consent. Results There were 400 subjects included in our study, of which 64% were female. The prevalences of COVID-19 amongst subjects in urban and rural areas were COVID-19 12.5% and 5.5%, respectively. Emotional and behavioral disorders as well as sleep disorders were more common in rural than urban areas (13 vs. 11.5% and 50.5% vs. 38%; P=0.012, respectively). Sleep disorders were associated with the SDQ subscales of emotional symptoms [PR 4.88 (95%CI 2.97 to 8.03); P<0.01), conduct problems [PR 3.71 (95%CI 1.53 to 9.04); P=0.02), hyperactivity/inattention [PR 6.05 (95%CI 2.58 to 16.17); P<0.01], and peer relationship problems [PR 3.28 (95%CI 1.33 to 8.09); P<0.01). Conclusion Sleep disorders among adolescents during COVID-19 pandemic were associated with emotional and behavioral problems. Adolescents who live in rural areas were more likely to have sleep disorders, emotional and behavioral problems.
Clot waveform analysis to differentiate mild, moderate, and severe hemophilia A Timan, Ina Susianti; Chozie, Novie Amelia; Santoso, Novianti
Paediatrica Indonesiana Vol 64 No 4 (2024): July 2024
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi64.4.2024.325-31

Abstract

Background Clot waveform analysis can be used to evaluate clot formation profiles. This waveform can be obtained from activated partial thromboplastin time (APTT) assays without additional reagents and shows different patterns in hemophilia patients with coagulation factor VIII (F VIII) deficiency or abnormality. Objective To determine the clot wave pattern and its process in clot formation phases (pre-coagulation, coagulation, and post-coagulation) in normal and hemophilia A subjects, analyze for possible correlations between clot wave parameters and F VIII activity, and obtain the pattern of coagulation curves in hemophilia subjects as a step to assess clot waveform analysis as a possible screening tool for hemophilia. Methods In this cross-sectional study, we performed clot wave analysis in 145 adult and pediatric subjects with hemophilia to obtain the clot wave pattern in this condition. Clot wave analysis was also done in 160 subjects with normal hemostasis to obtain reference clot wave parameters. Results In this study, the starting point of coagulation phase in normal subjects was between 30-40 seconds, with a shorter pre-coagulation phase and steeper slope. Hemophilia patients had a longer pre-coagulation phase and flatter slope, especially in severe hemophilia A patients, who had longer and more variable coagulation starting points (P<0.001). The absolute values of maximum coagulation velocity (Min1), maximum coagulation acceleration (Min2), and maximum coagulation deceleration (Max2) of hemophilia A patients were also lower than those of normal hemostasis patients, with lower absolute value seen in severe than in mild-moderate hemophilia A patients. A moderate correlation was found between Min1, Min2, and Max2 with F VIII activity (P<0.001). Conclusion Clot wave analysis may be considered as a method for screening hemophilia patients to distinguish mild-moderate and severe hemophilia A patients in health facilities that lack the ability to perform F VIII assays.