This study aimed to determine the prevalence of anemia and factors associated with anemia among men in Malaysia. The researchers used data from the 2019 National Health and Morbidity Survey (NHMS). The hemoglobin levels of men aged 15 years and above who gave their consent was measured using the HemoCue® Hb 201+ System©. The majority of them (87.2%) were men aged 15–59 years, referred to as the younger age group in this study. The prevalence of anemia among men was 12.6% (95% confidence interval (CI): 10.9, 14.5). The prevalence was higher among older men (30.7%; 95% CI: 26.6, 35.1) than younger men (10.0%; 95% CI: 8.2, 12.2). Anemia among men was associated with older age (adjusted odds ratios (aOR) = 3.1; 95% CI: 2.1, 4.4) and those with diabetes (aOR = 1.5; 95% CI: 1.2, 2.1) via a logistic regression analysis. In conclusion, older men were more affected by anemia than younger men in this study. Anemia among older men in Malaysia is at the level of moderate to severe public health significance. The likelihood of developing anemia is increased among older men with diabetes compared to older men without diabetes. These often overlooked issues among men need to be detected and treated early in order to prevent complications and improve their quality of life.

Introduction: Many mental health disorders have onset during adolescence. To date, the data on the correlates of anxiety is still lacking. Therefore, this study is crucial to determine the factors associated with anxiety among school-going adolescents in Malaysia. Methods: This study was based on 26,892 school-going adolescents from 212 selected schools in Malaysia. Anxiety was measured using Depression Anxiety and Stress Scale (DASS-21). Associations between anxiety, sociodemographic characteristics and variables of interest were examined using multivariable logistic regression. Results: Overall, 10,540 (39.7%) school-going adolescents had anxiety. Anxiety was positively associated with female (odds ratio, OR [95% confidence interval, CI] = 1.30 [1.19,1.42]) compared to male counterpart, feeling loneliness (1.78 [1.54,2.05]) compared to not lonely, unable to sleep due to worry of something (1.79 [1.56,2.05]) compared to able to sleep, being bullied (1.66 [1.48,1.87]) compared to not being bullied, physical abuse (1.33 [1.18,1.49]) compared to no physical abuse, verbal abuse (1.47 [1.35,1.59]) compared to no verbal abuse, current drinker (1.23 [1.06,1.43]) compared to not current drinker, current drug use (1.84 [1.43,2.35]) compared to not current drug use, ever had sex (1.17 [1.01,1.36]) compared to never had sex, physically inactive (1.16 [1.06,1.26]) compared to physically active and internet addiction (2.59 [2.37,2.83]) compared to no internet addiction. Chinese ethnic (0.68 [0.50,0.93]) compared to other ethnic, and Form 2 (0.78 [0.69,0.89]) and Form 3 (0.73 [0.65,0.82]) students compared to Form 1 students, were protective of anxiety. Conclusions: Prevention and intervention programs for these “at-risk” adolescents should be planned holistically towards reducing the risk factors.

Various factors contribute to suicidal attempt. This study aims to determine the relationship between suicidal attempt and its associated factors among school-going adolescents in Malaysia. Data from the National Health and Morbidity 2017 survey were analyzed. This survey was implemented as a nationwide school-based survey targeting adolescents 13 to 17 years old. Descriptive and multiple logistic regression analysis was done using SPSS version 20. A total of 27 399 adolescents participated in this survey. The prevalence of suicidal attempt was 6.9% (95% confidence interval = 6.2-7.7). Multivariate analysis found that the odds of suicidal attempt among adolescent with depression is 4.3 (adjusted odds ratio = 4.3; 95% confidence interval = 3.9-4.8). Other significant factors are young adolescent, non-Malay ethnicities especially Indian, adolescent with parents living apart, and those without peer support and parental connectedness. A holistic approach for the planning of preventative strategies and public health policies should be made according to these risk factors.

Introduction: Internet usage has changed the way adolescents socialize. This study aims to determine the determinants of internet addiction among school-going adolescents in Malaysia. Methods: This study was a cross-sectional study involving 27,455 school-going adolescents from 212 selected schools in Malaysia, as part of the 2017 National Health and Morbidity Survey that implemented a two-stage stratified cluster sampling design. Data collection via a self-administered questionnaire was conducted from March till May 2017. Results: Overall, 8,049 (29.0%) school-going adolescents had internet addiction. Internet addiction was positively associated with male (odds ratio, OR [95% confidence interval, CI] = 1.20 [1.08,1.34]) compared to female, Chinese ethnicity (1.67 [1.12,2.48]) compared to other ethnicity, feeling loneliness (1.37 [1.20,1.57]) compared to never feel lonely, unable to sleep due to worrying of something (1.40 [1.17,1.67]) compared to able to sleep, insufficient parental supervision (1.30 [1.14,1.48]) compared to sufficient parental supervision, depression (1.67 [1.48,1.89]) compared to no depression, anxiety (2.12 [1.95,2.30]) compared to no anxiety and stress (2.26 [1.96,2.61]) compared to no stress. The odds of having internet addiction increase from Form 2 (1.51 [1.28,1.78]), Form 3 (2.37 [2.01,2.80]), Form 4 (2.60 [1.76,3.85]) to Form 5 adolescents (2.96 [1.98,4.41]) compared to Form 1 adolescents. Conclusions: Our results suggest that being a male, of Chinese ethnicity, higher form level, feeling loneliness, unable to sleep due to worrying of something, insufficient parental supervision, depression, anxiety and stress were positively associated with internet addiction among school-going adolescents.

Introduction Physical inactivity has been identified as the fourth leading risk factor for worldwide mortality with major implications towards general health. Monitoring the level of physical inactivity may reduce the burden of noncommunicable diseases (NCDs) and their risk factors. This study aims to determine the prevalence of physical inactivity and its associated factors among adults aged 18 years and above in Malaysia. Methods Data was obtained from the National Health and Morbidity Survey (NHMS) 2019. It was a cross-sectional, population-based survey which employed twostage stratified random sampling design. A total of 10,356 out of 10,472 respondents were interviewed using a short version of International Physical Activity Questionnaire (IPAQ). Results Overall, the prevalence of physical inactivity among adults aged 18 years and above in Malaysia was 24.6% (95% CI: 23.2, 26.1). Results from multivariable logistic model showed that Chinese ethnicity (aOR 1.32; 95% CI: 1.04, 1.67), urban dwellers (aOR 1.30; 95% CI: 1.07, 1.57), those who were single (including widow, widower and divorcee) (aOR 1.36; 95% CI: 1.14, 1.61), students (aOR 2.10; 95% CI: 1.30, 3.40), higher household income earners (aOR 1.34; 95% CI: 1.07, 1.68) and those with hypercholesterolaemia (aOR 1.25; 95% CI: 1.03, 1.51) were significantly more likely to be physically inactive. Conclusions Specific and appropriate intervention towards targeted group is in crucial need to increase the level of physical activity and to promote an active living towards an active and healthy Malaysia.

Objective: This study aims to determine the prevalence of poor self-rated health (SRH) in Malaysia and its association with sociodemographic characteristics, lifestyle behavior, chronic diseases, depression, and functional limitations in activities of daily living (ADLs) among older persons. Design: Cross-sectional. Setting, participants, and outcome measures: We used data from the National Health and Morbidity Survey 2018, a nationwide community-based study. This study was conducted using a two-stage stratified cluster sampling design. Older persons were defined as persons aged 60 years and above. SRH was assessed using the question “How do you rate your general health?” and the answers were “very good”, “good”, “moderate”, “not good”, and “very bad”. SRH was then grouped into two categories; “Good” (very good and good) and “Poor” (moderate, not good, and very bad). Descriptive and logistic regression analyses were conducted using SPSS version 25.0. Results: The prevalence of poor SRH among older persons was 32.6%. Poor SRH was significantly related to physical inactivity, depression, and limitations in activities of daily living (ADLs). Multiple logistic regression revealed that poor SRH was positively associated with those who had depression (aOR 2.92, 95% CI:2.01,4.24), limitations in ADLs (aOR 1.82, 95% CI: 1.31, 2.54), low individual income (aOR 1.66, 95% CI:1.22, 2.26), physical inactivity (aOR 1.40, 95% CI:1.08, 1.82), and hypertension (aOR 1.23, 95% CI:1.02, 1.49). Conclusions: Older persons with depression, limitations in ADLs, low income, physical inactivity, and hypertension were significantly associated with poor SRH. These findings provide information to aid health personnel and policymakers in the development and implementation of health promotion and disease prevention programs, as well as adequate evidence in planning different levels of care for the older population.

Aim: Falls are a common problem among older people, leading to major morbidity and increased mortality. The study aimed to determine the prevalence of falls among older persons in Malaysia and its associated factors. Methods: Data were obtained from the National Health and Morbidity Survey 2018 (NHMS 2018), a cross‐sectional study using stratified cluster sampling design. Older persons were defined as aged ≥60 years in this study. Descriptive and logistic regression analyses were conducted using SPSS version 25.0. Results: Overall, 14.1% (95% confidence interval [CI]: 12.46, 15.84) of older persons reported having experienced at least one fall during the past 12 months. Univariate analyses revealed an association between the history of falls with not being employed (odds ratio [OR]: 1.35 [95% CI: 1.03, 1.77]), diabetes mellitus (OR: 1.65 [95% CI: 1.33, 2.04]), limitation in activities of daily living (ADL) (OR: 1.90 [95% CI: 1.43, 2.54]) or instrumental ADL (OR: 1.47 [95% CI: 1.16, 1.84]). Multiple logistic regression revealed that falls were positively associated with those who had diabetes mellitus (OR: 1.55 [95% CI: 1.23, 1.94]) and limitation in ADL (OR: 1.56 [95% CI: 1.14, 2.15]); 43.9% of falls occurred outdoors. Conclusion: One in six older Malaysian people experience at least one fall over a 12‐month period. Diabetes mellitus and limitation in ADL were the factors associated with falls among older persons. A comprehensive and targeted program designed to reduce risk of falls is urgently needed. Future research should identify suitable programs for our setting to reduce the potential society burden of falls in older Malaysians. Geriatr Gerontol Int 2020; 20: 33–37.

Introduction: Disability has adverse effects on health, wellbeing, and life quality. Vision disorder is one of the top-ranked causes of disability in the elderly population. This study aims to determine the prevalence and factors associated with vision disability among the elderly in Malaysia. Methodology. Data collection from National Health and Morbidity Survey (NHMS) 2018 was obtained. This survey focused on elderly health by using two-stage stratified cluster sampling design. The Washington Group Extended Question Set on Functioning (WG ES-F) was used to determine the vision disability. The data were analyzed using SPSS version 21.0 utilizing a complex sample design with multivariable logistic regression analysis to determine the prevalence and associated factors to vision disability. Results: A total of 3,977 elderly completed the vision disability questionnaire. The overall prevalence of vision disability among those who were 60 years old and above was 4.5%. Multiple logistic regression revealed that no formal education (AOR: 6.69, 95% CI: 1.52, 29.49), only primary education (AOR: 4.26, 95% CI: 1.01, 18.03), unemployed/retiree or homemaker (AOR: 3.25, 95% CI: 1.79, 5.89), hypertension (AOR: 1.45, 95% CI: 1.00, 2.09), and malnourished elderly (AOR: 2.84, 95% CI: 1.76, 461) had higher odds for having vision disability. Conclusion: The findings suggest that a low education level, unemployment, hypertension, and malnourishment are significant risk factors for VD among Malaysia’s elderly. Strengthening awareness campaigns to increase VD awareness and provide high-quality rehabilitation services must target specific groups, such as the elderly with a low level of education and the unemployed. Empower primary healthcare providers with the knowledge and skills necessary to improve the quality of eye care delivery and expand eye screening in settling VD issues nationally.