OBJECTIVES: To determine the self-esteem among oncology patients receiving chemotherapy in selected government state hospitals, Peninsular Malaysia.
METHODS: A cross-sectional study was conducted using selfadministered questionnaires. 953 respondents were given questionnaires which included socio-demographic profile, physical effect, depression, anxiety, quality of life and self esteem. Inferential analysis was done by using Independent T-test or Pearson's Correlation and the level of significance was p<0.05. Multivariate logistic regression was then used to determine the predictors using Statistical Package for Social Sciences software version 22.0 RESULTS: All 953 respondents selected participated in this study. The overall mean self-esteem in this study was 22.67, SD=4.98. The significant predictors of self-esteem where pvalue was <0.05 were age; gender; marital status; working status; anxiety; depression; nausea; anemia; hair loss; skin and nail changes; overall quality of life and psychological domain of quality of life. The finding of this study indicates that predictors of selfesteem among patients undergoing chemotherapy should be taken into account to improve their quality of life. Guidelines on how to manage self-esteem in a chemotherapy patient can be done using this study as the baseline.
METHODS: A retrospective study was conducted where data was extracted from the Health Status Screening Form (BSSK) at health clinics in Johor Bahru. Using the World Health Organization (WHO), criteria for obesity, BMI≥30.0 kg/m2 was specified as obese and combination of both BMI ranges for overweight (25.0-30.0kg/m2) and obesity (≥30.0kg/m2) as elevated BMI.
RESULTS: The overall prevalence of elevated BMI and obesity was 54.6% and 20.1% respectively. Men had a higher prevalence of elevated BMI (57.4%) with odds of 1.28 higher (95%CI: 1.04-1.58). High prevalence of elevated BMI and obesity were seen among the Indians (elevated BMI - 60.2%, obesity - 19.4%) followed by Malays (elevated BMI -57.8%, obesity - 23.1%) and Chinese showed the lowest (elevated BMI - 39.0%, obesity - 8.8%). The odds of elevated BMI and obesity were lower among younger adults as compared to older adults (≥30 years old).
CONCLUSION: Using WHO criteria, about one in two adults had elevated BMI while one in five were obese. Elevated BMI and obesity disparities were evident in age and ethnicity, but sex differences were encountered in elevated BMI group.
Methods: A purposive design in combination with a convenience sampling approach was used to recruit 24 women ages 26 to 55 of Malay, Indian, and Chinese descent across 15 university departments in Kuala Lumpur, Malaysia. Audio recordings of the individual semi-structured interviews were transcribed and analyzed using grounded theory.
Results: Women identified two important life transitions, getting married and having children, as particularly influential in changing eating behavior. Women reported a desire to eat healthier that was in tension with pressures to cater to the taste preferences of their household members and to accommodate their work schedules. Persistent social norms of eating in group settings and difficulty in accessing foods perceived as nutritious were reported as barriers to changing individual eating behavior. Regardless of education level and marital status, women agreed that the act of eating was closely connected with cultural values and embodied important meanings that took precedence over eating as a health-promoting behavior. While all participants expressed a desire to eat healthier, many reported limited confidence in their ability to consistently give up familiar and tasty foods for healthier alternatives. Shifts in eating behavior such as trying new healthy recipes and adopting a more restrictive diet were reported as most feasible and personally applicable after learning about a family member's declining health.
Conclusions: In this urban, multiethnic population, increasing the accessibility of nutritious foods and changing cultural perceptions of the relationship between food and nutrition may be important for enabling healthy eating behaviors.
Funding Sources: Yale Sustainable Food Program, Yale School of Public Health.
OBJECTIVES: To determine the prevalence and predictors of poor sleep quality among secondary school students in Gombak District, Selangor.
METHODS: A cross-sectional study was conducted in Gombak District. The sample size was 1,092 based on two group comparison formula. Students were selected using sampling with probability to proportionate to size. Selfadministered pretested questionnaires were used to collect the data. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 22. Chi-square or Fisher's exact test was performed to determine the association between individual categorical variables and sleep quality. Variables with p-value <0.25 were selected to be subjected into multivariate logistic regression to determine the predictors.
RESULTS: The response rate was 93.0%. The prevalence of poor sleep quality was 24.0% (95% CI = 21.5, 26.6). Based on the analysis of simple logistic regression seven variables that were significantly associated with poor sleep quality were age, gender, marital status of parents, depression, anxiety, stress and academic performance found fit in the model. Multivariate logistic analysis showed that the significant predictors of poor sleep quality were age, marital status of parents, depression, anxiety, stress and academic performance. Factors that were not statistically significant were gender, religion, ethnicity, parent's educational level and family income.
CONCLUSIONS: Prevalence of poor sleep quality among adolescents is high. The predictors of poor sleep quality are age, marital status of parents, depression, anxiety, stress and academic performance.
SUBJECTS/METHODS: A total of 177 female vegetarians were recruited from a Buddhist and Hindu organization in Selangor, Malaysia. The participants completed a self-administered questionnaire, which analyzed their sociodemographic characteristics, physical activity level, sleep quality, depression, anxiety, and stress. The body weight, height, waist circumference, and body fat percentage of the participants were also measured. A 3-day dietary recall was conducted to assess their dietary intake. Blood samples (3 ml) were withdrawn by a nurse from each participant to determine the hemoglobin (Hb) level.
RESULTS: The findings revealed 28.2% of the participants to be anemic. The age group (AOR = 2.46, 95% CI = 1.19-5.05), marital status (AOR = 2.69, 95% CI = 1.27-5.71), and percentage of energy from protein (AOR = 5.52, 95% CI = 1.41-21.65) were the significant predictors of anemia.
CONCLUSIONS: Anemia is a public health problem among female vegetarians in this study. Health promotion programs that target female adult vegetarians should be conducted to manage and prevent anemia, particularly among those who are married, aged 50 and below, and with an inadequate protein intake.
OBJECTIVE: Explore the relationship between domestic violence on the decision-making power of married women in Myanmar.
DESIGN: Cross-sectional.
SETTING: National, both urban and rural areas of Myanmar.
PATIENTS AND METHODS: Data from the Myanmar Demographic and Health Survey 2015-16 were used in this analysis. In that survey, married women aged between 15 to 49 years were selected for interview using a multistage cluster sampling technique. The dependent variables were domestic violence and the decision-making power of women. Independent variables were age of the respondents, educational level, place of residence, employment status, number of children younger than 5 years of age and wealth index.
MAIN OUTCOME MEASURES: Domestic violence and decision-making power of women.
SAMPLE SIZE: 7870 currently married women.
RESULTS: About 50% respondents were 35 to 49 years of age and the mean (SD) age was 35 (8.4) years. Women's place of residence and employment status had a significant impact on decision-making power whereas age group and decision-making power of women had a relationship with domestic violence.
CONCLUSION: Giving women decision making power will be indispensable for the achievement of sustainable development goals. Government and other stakeholders should emphasize this to eliminate violence against women.
LIMITATIONS: Use of secondary data analysis of cross-sectional study design and cross-sectional studies are not suitable design to assess this causality. Secondly the self-reported data on violence may be subject to recall bias.
CONFLICT OF INTEREST: None.