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Biology subjects

Wiguna, T.

Publications and source records attributed to Wiguna, T..

2 recordsLinked to original sources

Infant sleep quality and its several related factors: An Indonesian samples

ObjectiveThis research aimed to identify factors influencing infant sleep quality including mother-infant bonding, infant stress, parity, and maternal depression and anxiety, and to analyze possible associations between these variables.\n\nMethodA cross-sectional design was adopted to analyze data from mothers and their infants (0-36 months of age) using consecutive sampling. Mothers completed two of several questionnaires in the Indonesian language, including the Mother-Infant Bonding Scale, the Brief Infant Sleep Questionnaire, the Symptoms Checklist-90, and an infant stress questionnaire that was specifically designed for this study. The chi-squared test for bivariate analysis and logistic regression were applied to obtain odds ratios for the predictor variables using SPSS version 21 (IBM Corporation, Armonk, NY, USA) for Mac (Apple Inc, Cupertino, CA, USA).\n\nResultsFindings indicated that the proportion of infants with problematic sleep quality was 33.30%. Three predictors were significantly associated with problematic infant sleep quality: mother-infant bonding; infant stress; and parity. However, logistic regression analysis demonstrated that only mother-infant bonding (odds ratio [OR] 1.66 [95% confidence interval (CI) 1.15-6.12]) and infant stress (OR 1.29 [95% CI 1.07-2.68]) predicted a 38.7% risk for problematic infant sleep quality.\n\nConclusionResults of the present study indicated that early detection of mother-infant bonding levels and infant stress is very important. It may be valuable to screen sleep habits for better prognosis among infants because good sleep quality is crucial for optimal growth and development. Results of this study will raise awareness of the importance of mother-infant bonding, infant stress, and problematic infant sleep quality.

epidemiology

Temperament profile and its association with the vulnerability to smartphone addiction of medical students in Indonesia

Temperament profiles of an individual with high novelty seeking and low harm avoidance have been reported to be related to substance addiction, but smartphone addiction could be different from substance addiction. Medical students have high exposure to smartphone use. Screening their risk of smartphone addiction based on the temperament profile may help in deciding best prevention approach. This research aimed to examine the temperament profile and its association with vulnerability to smartphone addiction of medical students in Jakarta, Indonesia. The research was conducted with cross sectional design and simple random sampling. The Temperament and Character Inventory and the Smartphone Addiction Scale were used to measure desired outcomes. Logistic regression analysis was performed to identify the relationship between demographic factors, pattern of smartphone use, temperament type, and vulnerability to smartphone addiction. Of the 185 samples, most subjects have low novelty seeking, high reward dependence, and high harm avoidance. The average smartphone usage in a day was 7.94 hours (SD 3.92) with the initial age of smartphone usage was 7.58 years (SD 2.43). The respondents used smartphone for communication and accessing social media. High harm avoidance temperament was significantly associated with risk of smartphone addiction with OR 2.035; 95% CI 1.119 to 3.701). This study shows that smartphone addiction has similarities with other behavior addictions. Harm avoidance temperament is associated with the risk of smartphone addiction. Screening on risk of smartphone addiction based on temperament type should be done on medical students.

scientific communication and education