Displaying publications 21 - 25 of 25 in total

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  1. Lim KH, Ibrahim N, Ghazali SM, Kee CC, Lim KK, Chan YY, et al.
    Asian Pac J Cancer Prev, 2013;14(2):805-10.
    PMID: 23621242
    Increasing the rate of smoking cessation will reduce the burden of diseases related to smoking, including cancer. Understanding the process of smoking cessation is a pre-requisite to planning and developing effective programs to enhance the rate of smoking cessation.The aims of the study were to determine the demographic distribution of smokers across the initial stages of smoking cessation (the pre-contemplation and contemplation stages) and to identify the predictors of smoking cessation among Malaysian adult smokers. Data were extracted from a population-based, cross-sectional survey carried out from April 2006 to July 2006. The distribution of 2,716,743 current smokers across the pre-contemplation stage (no intention to quit smoking in the next six months) or contemplation stage (intended to quit smoking in the next six months) was described. Multivariable logistic regression analysis was used to examine the relationship between socio-demographic variables and the stages of smoking cessation. Of the 2,716,743 current smokers, approximately 30% and 70% were in the pre-contemplative and contemplative stages of smoking cessation respectively. Multivariable analysis showed that male gender, low education level, older age group, married and those from higher income group and number of cigarettes smoked were associated with higher likelihood of pre-contemplation to cease smoking in the next six months. The majority of current smokers in Malaysia were in the contemplative stage of smoking cessation. Specific interventions should be implemented to ensure the pre-contemplative smokers proceed to the contemplative stage and eventually to the preparation stage.
  2. Chan YY, Sooryanarayana R, Mohamad Kasim N, Lim KK, Cheong SM, Kee CC, et al.
    Arch Gerontol Geriatr, 2018 11 26;81:74-83.
    PMID: 30521992 DOI: 10.1016/j.archger.2018.11.012
    Malaysia has an increasingly aging population. Despite the substantial benefits of physical activity for healthy aging, older adults are considered the most physically inactive segment of the Malaysian population. The purpose of this study was to determine the prevalence of physical inactivity among older adults in Malaysia and its correlates. We analysed data on adults aged ≥60 years (n = 3790) from the National Health and Morbidity Survey (NHMS) 2015, a cross-sectional, nationwide population-based survey covering information on socio-demographic characteristics, physical activity and other lifestyle-related variables, health conditions, and functional limitations. Individuals included in this study were classified as physically active or physically inactive. Logistic regression was used to determine factors associated with physical inactivity. The overall prevalence of physical inactivity among older adults aged ≥60 years old was 48.8%. Physical inactivity was significantly more prevalent among females, older age groups, Indians, those being single/widowed/divorced, those with no formal education, those who reported high sedentary time (≥7 h/day), those with diabetes, anaemia, and functional limitations (p 
  3. Chan YY, Lim KK, Lim KH, Teh CH, Kee CC, Cheong SM, et al.
    BMC Public Health, 2017 Sep 21;17(1):733.
    PMID: 28934939 DOI: 10.1186/s12889-017-4772-z
    BACKGROUND: Overweight and obesity are growing health problems both worldwide and in Malaysia due to such lifestyle changes as decreased physical activity (PA), increased sedentary behavior and unhealthy eating habits. This study examined the levels and patterns of PA among normal-weight and overweight/obese adults and to investigate the association between PA level and overweight/obesity in Malaysian adults.

    METHODS: This study used data from the 2015 National Health and Morbidity Survey (NHMS), a nationwide cross-sectional survey that implemented a two-stage stratified random sampling design. Respondents aged 18 years and above (n = 17,261) were included in the analysis. The short version of International Physical Activity Questionnaire (IPAQ) was administered to assess the respondents' PA levels. The respondents' height and weight were objectively measured and body mass index (BMI) was calculated. The respondents were categorized according to BMI as either normal-weight (18.5-24.9 kg/m2) or overweight/obese (≥ 25 kg/m2). Descriptive and complex sample logistic regression analyses were employed as appropriate.

    RESULTS: Overall, approximately 1 in 2 respondents (51.2%) were overweight/obese, even though the majority (69.0%) reporting at least a moderate level of PA (total PA ≥ 10 MET-hours/week). In both normal-weight and overweight/obese groups, a significantly higher prevalence of high PA (total PA ≥ 50 MET-hours/week) was observed among men than women (p 

  4. Chan YY, Lim KK, Omar MA, Mohd Yusoff MF, Sooryanarayana R, Ahmad NA, et al.
    Geriatr Gerontol Int, 2020 Dec;20 Suppl 2:49-56.
    PMID: 33370865 DOI: 10.1111/ggi.13977
    AIM: Physical inactivity in older adults is linked to increased risk of chronic diseases, disability and various poor health outcomes. As the aging population rises, the prevalence of diseases associated with aging also increases. Regular physical activity in older adults is important to improve overall health and promote healthy aging. This study aimed to determine the prevalence and factors associated with physical inactivity among older adults in Malaysia.

    METHODS: This study was based on 3969 Malaysian older adults aged ≥60 years who completed the physical activity module in the National Health and Morbidity Survey 2018, a population-based cross-sectional survey. Physical activity was measured using the Global Physical Activity Questionnaire through a face-to-face interview. Participants were classified as physically active or inactive. Associations between physical inactivity, sociodemographic characteristics and a range of selected independent variables were examined using multivariable logistic regression.

    RESULTS: Overall, three out of 10 (29.8%) Malaysian older adults were physically inactive. Results of multivariable analysis showed that older age group (≥80 years), of Bumiputera Sarawak ethnicity, unemployed/retirees/homemakers, functional limitation, diabetes mellitus and dementia were significantly associated with a higher risk of physical inactivity. Women, with secondary education level and good social support were less likely to be physically inactive.

    CONCLUSIONS: The present study reported the status of physical inactivity among older adults in Malaysia. There is the need to design effective public health programs and interventions to promote active living and healthy aging among Malaysian older adults, particularly in those at-risk older population subgroups. Geriatr Gerontol Int 2020; 20: 49-56.
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