The majority of research on factors associated with women participation in physical activity (PA) has been in developed countries with limited research in developing countries. Few women in Malaysia are active at the recommended levels for health, and activity rates are less than developed countries. Little research has focused specially on physically active Malaysian women and the factors that contribute to them becoming and staying active in PA programs. This lack of knowledge hinders the tailored development and implementation of PA programs to meet their needs. The aim of this study was to identify the factors of participation in PA programs for Malaysian women. The social-ecological model was used to investigate and theme the factors. Focus group discussion was conducted with participants in six PA programs targeted specifically to women. Thirty-seven women were involved in the focus group discussion, with ages ranging from 19 to 82 years. Inductive and deductive content analysis was conducted from verbatim transcripts using NVivo. Inductive content analysis allowed raw data and second-order themes to emerge. Findings revealed social support structures, tailored programs for women, and location were key contributors that encouraged women to participate in these programs. The similarity in contributors between women in non-western and western countries signifies a prime opportunity for bi-lateral relationships to be formed to enable the enhancement of program development relevant to different ethnicities and cultures within or across countries.
Multimorbidity-the coexistence of at least two chronic health conditions within the same individual-is an important global health challenge. In high-income countries (HICs), multimorbidity is dominated by non-communicable diseases (NCDs); whereas, the situation may be different in low- and middle-income countries (LMICs), where chronic communicable diseases remain prominent. The aim of this systematic review was to identify determinants (including risk and protective factors) and potential mechanisms underlying multimorbidity from published longitudinal studies across diverse population-based or community-dwelling populations in LMICs. We systematically searched three electronic databases (Medline, Embase, and Global Health) using pre-defined search terms and selection criteria, complemented by hand-searching. All titles, abstracts, and full texts were independently screened by two reviewers from a pool of four researchers. Data extraction and reporting were according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Methodological quality and risk of bias assessment was performed using the Newcastle-Ottawa Scale for cohort studies. Data were summarized using narrative synthesis. The search yielded 1782 records. Of the 52 full-text articles included for review, 8 longitudinal population-based studies were included for final data synthesis. Almost all studies were conducted in Asia, with only one from South America and none from Africa. All studies were published in the last decade, with half published in the year 2021. The definitions used for multimorbidity were heterogeneous, including 3-16 chronic conditions per study. The leading chronic conditions were heart disease, stroke, and diabetes, and there was a lack of consideration of mental health conditions (MHCs), infectious diseases, and undernutrition. Prospectively evaluated determinants included socio-economic status, markers of social inequities, childhood adversity, lifestyle behaviors, obesity, dyslipidemia, and disability. This review revealed a paucity of evidence from LMICs and a geographical bias in the distribution of multimorbidity research. Longitudinal research into epidemiological aspects of multimorbidity is warranted to build up scientific evidence in regions beyond Asia. Such evidence can provide a detailed picture of disease development, with important implications for community, clinical, and interventions in LMICs. The heterogeneity in study designs, exposures, outcomes, and statistical methods observed in the present review calls for greater methodological standardisation while conducting epidemiological studies on multimorbidity. The limited evidence for MHCs, infectious diseases, and undernutrition as components of multimorbidity calls for a more comprehensive definition of multimorbidity globally.