METHODS: This was a cross-sectional study involving 682 mother-infant pairs with infants up to six months attending maternal and child health section of the government health clinics in Klang, Malaysia. Data were collected by face-to-face interviews using a pre-tested structured questionnaire over 4 months in 2006. Data on breastfeeding were based on practice in the previous one month period. Logistic regression was used to assess the independent association between the independent variables and exclusive breastfeeding adjusting for infant age.
RESULTS: The prevalence of exclusive breastfeeding among mothers with infants aged between one and six months was 43.1% (95% CI: 39.4, 46.8). In the multivariate model exclusive breastfeeding was positively associated with rural residence, Malay mothers, non-working and non-smoking mothers, multiparous mothers, term infants, mothers with husbands who support breastfeeding and mothers who practice bed-sharing.
CONCLUSIONS: Interventions that seek to increase exclusive breastfeeding should focus on women who are at risk of early discontinuation of breastfeeding.
MATERIAL AND METHODS: This was a community based crosssectional study involving 397 adult respondents conducted in February 2016. Data was collected by face-to-face interview using a structured questionnaire. Data regarding socio-demographic factors (age, gender, ethnicity, education level, marital status and monthly income, working hours), current behavioural stage of physical activity and perceived benefits and barriers to physical activity were collected. Physical activity measured using the International Physical Activity Questionnaire (IPAQ) with the cut-off point of less than 600 met-min per week was considered to be physically inactive.
RESULTS: The prevalence of physical inactivity among adult population was 36.3%. Factors significantly associated with physical inactivity included age, gender, marital status, working hours and current behavioural stage of physical activity.
CONCLUSION: Physical inactivity is high among the adult community in Negeri Sembilan district, Peninsular Malaysia and was strongly associated with age, gender, marital status, working hours and current behavioural stage of physical activity. It is important to identify individuals with physical inactivity and its associated factors early as this could severely affect the quality of life of the individuals.