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Fulltext Predisposing Factors and Impact of Child Victimization: A Qualitative Study

Wahid Satar SNA, Norhayati MN, Sulaiman Z, Othman A, Yaacob LH, Nik Hazlina NH

Int J Environ Res Public Health, 2021 09 05;18(17).
PMID: 34501964 DOI: 10.3390/ijerph18179373

Sexual abuse of children is increasing at an alarming rate. This study aims to describe the risk factors and the effects of sexual abuse on children. This unobtrusive qualitative study was conducted on children aged 10 to 18 years old who experienced sexual abuse and followed-up at a psychiatric clinic between the years 2019 and 2021. The information from case records was transcribed. Thematic analysis was performed. Thirty case records were reviewed. The mean age of the victims was 14.6 years; 94% of the victims had experienced vaginal penetration, and 23% of the cases involved incest. The results indicated that socio-psychological predisposing factors involving family structure and dynamic dysfunction, low intrapersonal strength, social influence, and low family socioeconomic status could lead to sexual victimization. This sexual victimization can then lead to emotional turmoil, negative effects on cognitive, academic and social function, negative parental reactions toward the incident, the creation of baby-mother relationships and love-hate relationships, and a lack of goals and hope for the future. Children who experienced sexual abuse may show rape or pregnancy symptoms but may also show entirely non-specific ones. A thorough examination of their history, including biopsychosocial aspects, is necessary to appropriately care for them.
Characteristics of electroencephalogram changes and correlation with seizures in hospitalised patients

Satar SNA, Mogan S, Jaafar WPN, Maghalingam S, Affendi FAR, Ng CF, et al.

Med J Malaysia, 2023 Mar;78(2):149-154.
PMID: 36988523

INTRODUCTION: Electroencephalogram (EEG) is an important investigational tool that is widely used in the hospital settings for numerous indications. The aim was to determine factors associated with abnormal EEG and its clinical correlations in hospitalised patients.
MATERIALS AND METHODS: Patients with at least one EEG recording were recruited. The EEG and clinical data were collated.
RESULTS: Two hundred and fifty patients underwent EEG and 154 (61.6%) were found to have abnormal EEG. The abnormal changes consist of theta activity (79,31.6%), delta activity (20, 8%), focal discharges (41,16.4%) and generalised discharges (14, 5.6%). Older patients had 3.481 higher risk for EEG abnormalities, p=0.001. Patients who had focal seizures had 2.240 higher risk of having EEG abnormalities, p<0.001. Low protein level was a risk for EEG abnormalities, p=0.003.
CONCLUSION: This study emphasised that an abnormal EEG remains a useful tool in determining the likelihood for seizures in a hospital setting. The risk factors for EEG abnormality in hospitalised patients were age, focal seizures and low protein level. The EEG may have an important role as part of the workup in hospitalised patients to aid the clinician to tailor their management in a holistic manner.

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