BACKGROUND: Many adolescents suffer from common mental disorders such as stress, which affects health through the psychosocial process, eating behavior, food choices and physical activity. During adolescence, dietary patterns are formed and can affect the occurrence of diseases in later life. This is a review of the results in the pertinent literature, from 1989 until November 2013, concerning stress and the contributing factors that lead to obesity among adolescents. The aim of this review is to identify obesity among stressed adolescents as well as the contributing factors.
METHODS: A descriptive design was used for both quantitative and qualitative studies while, in addition, psychological theories were used for the qualitative studies. The articles were screened to ensure their quality and included in this review accordingly. Ten articles were included in the review comprising cross-sectional, cohort, review and meta-analysis. Interviews and questionnaires were used for data collection.
RESULTS: The literature provided obvious information focusing on emotional stress and obesity for both boys and girls. This review revealed that stress results in overweight and obesity among adolescents through changes in lifestyle including decreased physical activity and increased food intake. Gender and economic status are the main components that affect obesity in stressed adolescents.
CONCLUSION: Obesity is a consequence of stress among adolescents and is exacerbated by the wrong eating attitude. Developing proper food choices among adolescents can help prevent obesity and other complications in adulthood.
KEYWORDS: Adolescent; Body Mass Index; Eating; Obesity; Stress
INTRODUCTION: Women with chronic medical conditions are at higher risk of adverse pregnancy outcomes, which may be minimized through optimal preconception care and appropriate contraceptive use. This study aimed to describe contraceptive use among women with chronic medical conditions and factors associated with its non-use.
METHODS: This study used cross-sectional data from a family planning survey among women with chronic medical conditions conducted in three health facilities in a southern state of Malaysia. A total of 450 married women in reproductive age (18-50 year) with intact uterus, and do not plan to conceive were analysed for contraceptive use. Both univariate and multivariate analysis was conducted to identify factors associated with contraceptive non-use among the study participants.
RESULTS: A total of 312 (69.3%) of the study participants did not use contraceptive. Contraceptive non-use was highest among the diabetics (71.2%), connective tissue disease patients (68.6%) and hypertensive patients (65.3%). Only 26.3% of women with heart disease did not use contraceptive. In the multivariate analysis, contraceptive non-use was significantly more common among women who received their medical treatment in the health clinics as compared to those who received treatment in the hospital (adjusted odds ratio [OR]=1.75, 95% confidence interval [CI]: 1.09, 2.79), being in older age group of 41-50 year (adjusted OR=2.31, 95% CI: 1.19, 4.48), having children (adjusted OR=4.57, 95% CI: 1.66, 12.57) and having lower education (adjusted OR=2.87, 95% CI: 1.43, 5.77).
CONCLUSION: About two-third of women with chronic medical conditions who needed contraceptive did not use them despite the higher risk of pregnancy related complications. The high unmet need warrant an effective health promotion programme to encourage the uptake of contraceptives especially targeting women of older age group, low education and those who received their medical treatment at health clinics.
Study site: Outpatient clinic, three hospitals; 8 health clinics, Malaysia
Electrical impedance tomography (EIT) is a new non-invasive, mobile screening method which does not use ionizing radiation to the human breast. It is based on the theory that cancer cells display altered local dielectric properties, thus demonstrating measurably higher conductivity values. This article reviews the utilisation of EIT in breast cancer detection. It could be used as an adjunct to mammography and ultrasonography for breast cancer screening.
BACKGROUND: Breast cancer is the most frequently occurring cancer in women and the most common cause of cancer death worldwide.
MATERIALS AND METHODS: A cross-sectional study was carried out among 792 female undergraduate students in public universities in Klang Valley, Malaysia, from January to April 2011. Data were collected using a validated questionnaire developed for this study.
RESULTS: The mean age of respondents was 21.7±1.2 years. Most of them were single (96.8%), Malay (91.9%) and 150 (19.6%) claimed they had practiced BSE. There was a significant differences between performers and non-performers correlated to age, marital status, check breast by doctor, and being trained about BSE. Performers had lower mean scores for perceived barriers and susceptibility and higher mean score for confidence. Stepwise logistic regression analysis yielded four significant predictor variables.
CONCLUSIONS: Overall our findings indicate that the practice of BSE while perceived as being important is not frequently practiced among female in Malaysia. Targeted education should be implemented to improve early detection of breast cancer.
Despite continuous argument about the efficacy of breast self-examination; it still could be a life-saving technique through inspiring and empowering women to take better control over their body/breast and health. This study investigated Malaysian female university students' knowledge about breast cancer risk factors, signs, and symptoms and assessed breast self-examination frequency among students.
The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In this work, a novel stand-alone application, which is based on graphical user interface (GUI), is developed to perform the full functionality of gene selection and classification in high dimensional datasets. The so-called HDG-select application is validated on eleven high dimensional datasets of the format CSV and GEO soft. The proposed tool uses the efficient algorithm of combined filter-GBPSO-SVM and it was made freely available to users. It was found that the proposed HDG-select outperformed other tools reported in literature and presented a competitive performance, accessibility, and functionality.
In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with other strategies to curb the spread of COVID-19, improve the safety of front-line personnel, increase efficacy by lessening the severity of the disease on human lives, and decrease mortality rates. Significant inroads have been achieved in terms of applications and technology, as well as security which have also been magnified through the rapid and widespread adoption of IoMT across the globe. A number of on-going researches show the adoption of secure IoMT applications is possible by incorporating security measures with the technology. Furthermore, the development of new IoMT technologies merge with Artificial Intelligence, Big Data and Blockchain offers more viable solutions. Hence, this paper highlights the IoMT architecture, applications, technologies, and security developments that have been made with respect to IoMT in combating COVID-19. Additionally, this paper provides useful insights into specific IoMT architecture models, emerging IoMT applications, IoMT security measurements, and technology direction that apply to many IoMT systems within the medical environment to combat COVID-19.
Menopause is the condition when regular menstrual periods cease and may be accompanied by psychological and physical symptoms. The purpose of current study was to determine Nigella sativa effects on reproductive system in experimental menopause animal models.
The aim of this study was to investigate the relationship between dietary intake and biomarkers of cardiovascular risk in individuals with and without angiographically defined coronary artery disease.
The World Health Organization confirmed that the novel influenza A, H1N1 as a pandemic on 11 June 2009. After less than three months, 182 countries were affected by the pandemic accounting for about 150,000 infected cases and 3000 mortality. Successful H1N1 pandemic management strategies' shaped by making changes in health behavior. The aim of this study was to document patients' knowledge, attitudes and practices (KAP) regarding the pandemic influenza A (H1N1) and its prevention. We performed a cross-sectional study on knowledge, attitudes and practices (KAP) on preventive measures of Influenza A (H1N1) involving 322 patients attending Klinik Kesihatan Jinjang, a primary health care clinic in Kuala Lumpur, Malaysia from May 10 to 26, 2010 using a face to face interview with a structured pre-tested questionnaire. The majority of the respondents were females (56.8%), Malays (43.2%) aged between 18-27 years old (28.9%). There were significant association between knowledge on the complication of H1N1, effectiveness of the treatment, preventive measures of Influenza A (H1N1) and race (p<0.001) and educational level (p<0.001). There were also significant associations between attitude scores of these patients and their gender (p=0.03), and educational level (p=0.001). Practice scores related to H1N1 were found to be significantly associated with race (p<0.001) and educational level (p<0.001). The significant associations were observed between knowledge and attitude (p<0.001), knowledge and practices (p<0.001), as well as attitude and practices related to H1N1 (p<0.001). Knowledge has a crucial effect on patients' attitude and practice particularly in a pandemic spread. So health policy makers should attempt to disseminate information about preventive measures to community in order to improve their preventive practices during pandemics.