DESIGN: Population-based cross-sectional study.
SETTING: South East Asia Community Observatory HDSS site in Malaysia.
PARTICIPANTS: Of 45 246 participants recruited from 13 431 households, 18 101 eligible adults aged 18-97 years (mean age 47 years, 55.6% female) were included.
MAIN OUTCOME MEASURES: The main outcome was prevalence of multimorbidity. Multimorbidity was defined as the coexistence of two or more chronic conditions per individual. A total of 13 chronic diseases were selected and were further classified into 11 medical conditions to account for multimorbidity. The conditions were heart disease, stroke, diabetes mellitus, hypertension, chronic kidney disease, musculoskeletal disorder, obesity, asthma, vision problem, hearing problem and physical mobility problem. Risk factors for multimorbidity were also analysed.
RESULTS: Of the study cohort, 28.5% people lived with multimorbidity. The individual prevalence of the chronic conditions ranged from 1.0% to 24.7%, with musculoskeletal disorder (24.7%), obesity (20.7%) and hypertension (18.4%) as the most prevalent chronic conditions. The number of chronic conditions increased linearly with age (p<0.001). In the logistic regression model, multimorbidity is associated with female sex (adjusted OR 1.28, 95% CI 1.17 to 1.40, p<0.001), education levels (primary education compared with no education: adjusted OR 0.63, 95% CI 0.53 to 0.74; secondary education: adjusted OR 0.60, 95% CI 0.51 to 0.70; tertiary education: adjusted OR 0.65, 95% CI 0.54 to 0.80; p<0.001) and employment status (working adults compared with retirees: adjusted OR 0.70, 95% CI 0.60 to 0.82, p<0.001), in addition to age (adjusted OR 1.05, 95% CI 1.05 to 1.05, p<0.001).
CONCLUSIONS: The current single-disease services in primary and secondary care should be accompanied by strategies to address complexities associated with multimorbidity, taking into account the factors associated with multimorbidity identified. Future research is needed to identify the most commonly occurring clusters of chronic diseases and their risk factors to develop more efficient and effective multimorbidity prevention and treatment strategies.
METHODS: Individual semi-structured interviews with 22 people (health professionals, cancer survivors, community volunteers and member from a non-governmental organization) and four focus group discussions (n = 22 participants) with women from a local community were conducted. All participants were purposively sampled and female residents registered with the South East Asia Community Observatory aged ≥40 years were eligible to participate in the focus group discussions. Data were transcribed verbatim and analyzed using thematic analysis.
RESULTS: The thematic analysis illuminated barriers, challenges and opportunities across six domains: (i) personal experiences and barriers to help-seeking as well as financial and travel access barriers; (ii) primary care challenges (related to delivering clinical breast examination and teaching breast-self-examination); (iii) secondary care challenges (related to mammogram services); (iv) disconnection between secondary and primary care breast cancer screening pathways; and (v) opportunities to improve breast cancer early detection relating to community civil service society activities (i.e. awareness raising, support groups, addressing stigma/embarrassment and encouraging husbands to support women) and vi) links between public healthcare personnel and community (i.e. improving breast self-examination education, clinical breast examination provision and subsidised mammograms).
CONCLUSION: The results point to a variety of reasons for low uptake and, therefore, to the complex nature of improving breast cancer screening and early detection. There is a need to adopt a systems approach to address this complexity and to take account of the socio-cultural context of communities in order, in turn, to strengthen cancer control policy and practices in Malaysia.
METHODS: Data of 7068 participants (4418 Malays, 2080 Chinese and 570 Indians) aged ≥55 years that were collected as part of the community health survey conducted in 2013 in the South East Asia Community Observatory (SEACO) were analyzed using bivariate and multiple regressions. Analyses were stratified by ethnicity.
RESULTS: The importance of having an enriched religious/spiritual life was associated with higher scores of depression, anxiety and stress among Chinese and higher score of depression among Malays, while belief in a higher power was associated with better mental health among Malays, Chinese and Indians.
CONCLUSION: The current study showed that there were ethnic variations in the associations between religion and mental health, and the associations depended on the religious variable included in the analysis. The findings of this study showed that religion could be another potential channel to improve mental health among older adults by accommodating and understanding their religious beliefs.
METHODS: We undertook a 12-month health and environmental assessment in 12 flood-prone informal settlements in Makassar, Indonesia. We obtained caregiver-reported health data, anthropometric measurements, stool and blood samples from children
METHODS: Drawing on ethnographic research from rural Malaysia, this descriptive article explores ethnic Malaysian-Chinese stroke survivors' lay understandings of stroke. Eighteen community-dwelling stroke survivors aged 50-83 took part in the study.
RESULTS: Causation of stroke was derived from cultural, biomedical and social sources. Participants also drew simultaneously from both biomedical and traditional explanations of stroke to develop their own understanding of etiology. Similarities with biomedical causation and other studies from different cultures were found. Participants' typically focused on the more immediate effects of stroke and often do not attribute causation and association with their comorbid conditions which are also risk factors of stroke.
CONCLUSION: Lack of knowledge about stroke and its symptoms was evident in participants' account. Findings emphasize the importance of knowledge based health interventions, especially in health education strategies for stroke survivors to reduce delays to diagnosis and potentially improve health outcomes post-stroke. Implications for rehabilitation Stroke survivors often form explanatory models of stroke that draw from both biomedical and traditional explanations of stroke. Understanding how people derive lay understandings of stroke can contribute towards developing the goals and activities that facilitate recovery and rehabilitation in similar settings. Health practitioners in the community should strengthen communication regarding the identification, etiology and risk factors of stroke with stroke survivors and their carers to improve compliance to medication, exercise and diet for better recovery. Sustained health education which is culturally relevant is recommended. Communication should also include non-physical impact of stroke (such as cognitive deficits and emotional difficulties) as the stroke survivors were unlikely to relate such symptoms to stroke.