Dataset Information

Prevalence and factors associated with multimorbidity among older adults in Malaysia: a population-based cross-sectional study.

ABSTRACT:

Objectives

To determine the prevalence and factors associated with multimorbidity among community-dwelling older adults in Malaysia.

Design

A population-based cross-sectional study.

Setting

13 states and 3 Federal Territories in Malaysia.

Participants

A total of 3966 adults aged 60 years and above were extracted from the nationwide National Health and Morbidity Survey (NHMS) 2018 data set.

Primary outcome measures

Multimorbidity was defined as co-occurrence of at least two known chronic non-communicable diseases in the same individual. The chronic diseases included hypertension, type 2 diabetes mellitus, dyslipidaemia and cancer.

Results

The prevalence of multimorbidity among Malaysian older adults was 40.6% (95% CI: 37.9 to 43.3). The factors associated with multimorbidity were those aged 70-79 years (adjusted OR (AOR)=1.30; 95% CI=1.04 to 1.63; p=0.019), of Indian (AOR=1.69; 95% CI=1.14 to 2.52; p=0.010) and Bumiputera Sarawak ethnicities (AOR=1.81; 95% CI=1.14 to 2.89; p=0.013), unemployed (AOR=1.53; 95% CI=1.20 to 1.95; p=0.001), with functional limitation from activities of daily livings (AOR=1.66; 95% CI=1.17 to 2.37; p=0.005), physically inactive (AOR=1.28; 95% CI=1.03 to 1.60; p=0.026), being overweight (AOR=1.62; 95% CI=1.11 to 2.36; p=0.014), obese (AOR=1.88; 95% CI=1.27 to 2.77; p=0.002) and with abdominal obesity (AOR=1.52; 95% CI=1.11 to 2.07; p=0.009).

Conclusion

This study highlighted that multimorbidity was prevalent among older adults in the community. Thus, there is a need for future studies to evaluate preventive strategies to prevent or delay multimorbidity among older adults in order to promote healthy and productive ageing.

SUBMITTER: Shariff Ghazali S

PROVIDER: S-EPMC8529977 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and factors associated with multimorbidity among older adults in Malaysia: a population-based cross-sectional study.

Shariff Ghazali Sazlina S Seman Zamtira Z Zainuddin Nabilah Hanis NH Omar Mohd Azahadi MA Sooryanarayana Rajini R Ariaratnam Suthahar S Mohd Tohit Noorlaili N Ho Bee Kiau BK Krishnapillai Ambigga Devi AD Zainal Abidin Sheleaswani Inche SI

BMJ open 20211020 10

<h4>Objectives</h4>To determine the prevalence and factors associated with multimorbidity among community-dwelling older adults in Malaysia.<h4>Design</h4>A population-based cross-sectional study.<h4>Setting</h4>13 states and 3 Federal Territories in Malaysia.<h4>Participants</h4>A total of 3966 adults aged 60 years and above were extracted from the nationwide National Health and Morbidity Survey (NHMS) 2018 data set.<h4>Primary outcome measures</h4>Multimorbidity was defined as co-occurrence of ...[more]

PMID: 34670764

Similar Datasets

Project description:IntroductionMultimorbidity, defined as the coexistence of two or more chronic diseases in the same individual, represents a significant health challenge. However, there is limited evidence on its prevalence and associated factors in developing countries, such as Brazil, especially stratified by sex. Thus, this study aims to estimate the prevalence and analyze the factors associated with multimorbidity in Brazilian adults according to sex.MethodsCross-sectional population-based household survey carried out with Brazilian adults aged 18 years or older. The sampling strategy consisted of a three-stage conglomerate plan. The three stages were performed through simple random sampling. Data were collected through individual interviews. Multimorbidity was classified based on a list of 14 self-reported chronic diseases/conditions. Poisson regression analysis was performed to estimate the magnitude of the association between sociodemographic and lifestyle factors with the prevalence of multimorbidity stratified by sex.ResultsA total of 88,531 individuals were included. In absolute terms, the prevalence of multimorbidity was 29.4%. The frequency in men and women was 22.7 and 35.4%, respectively. Overall, multimorbidity was more prevalent among women, the older people, residents of the South and Southeast regions, urban area residents, former smokers, current smokers, physically inactive, overweight, and obese adults. Individuals with complete high school/incomplete higher education had a lower prevalence of multimorbidity than those with higher educational level. The associations between education and multimorbidity differed between sexes. In men, multimorbidity was inversely associated with the strata of complete middle school/incomplete high school and complete high school/incomplete higher education, while in women, the association between these variables was not observed. Physical inactivity was positively associated with a higher prevalence of multimorbidity only in men. An inverse association was verified between the recommended fruit and vegetable consumption and multimorbidity for the total sample and both sexes.ConclusionOne in four adults had multimorbidity. Prevalence increased with increasing age, among women, and was associated with some lifestyles. Multimorbidity was significantly associated with educational level and physical inactivity only in men. The results suggest the need to adopt integrated strategies to reduce the magnitude of multimorbidity, specific by gender, including actions for health promotion, disease prevention, health surveillance and comprehensive health care in Brazil.

Project description:ObjectivesTo assess the prevalence and factors associated with multimorbidity in a community-dwelling general adult population on a large Health and Demographic Surveillance System (HDSS) scale.DesignPopulation-based cross-sectional study.SettingSouth East Asia Community Observatory HDSS site in Malaysia.ParticipantsOf 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 measuresThe 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.ResultsOf 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).ConclusionsThe 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.

Project description:BackgroundAs the global aging process accelerates, the older population is increasing annually, with the majority suffering from one or more chronic diseases. Due to the influence of chronic disease comorbidity, frailty among the older is widespread. Therefore, early identification of frailty in older adults with comorbidities from a comprehensive perspective, along with proactive measures for prevention and timely intervention, becomes an inevitable requirement for healthy aging. This study aimed to identify the entry point of frailty management in the older with multimorbidity in the community and clarify the focus of frailty management.MethodsA national cross-sectional survey of 1056 older adults with comorbidities in 148 cities across China was conducted. Frailty was assessed using the Fatigue, Resistance, Ambulation, Illnesses, and Loss of weight (FRAIL) scale. Based on the health ecological model, the factors which may influence frailty were collected from five levels. Univariate and multivariate analysis were utilized to determine the factors influencing frailty. The STROBE checklist was used preparing the manuscript.ResultsA total of 417 patients (39.5%) reported having frailty, while 613 patients (58.0%) were in the pre-frail state. Multivariate logistic regression analysis indicate that compared with robust patients, number of comorbidities, self-efficacy, sleep quality and perceived social support are associated with frailty in older patients with comorbidities (P < 0.05). Compared to pre-frail group, factors such as number of comorbidities, gender (female), cognitive status of diseases, anxiety, having four or more comorbidities, smoking, eating habits, taking three or more different types of medication and perceived social support are associated with frailty (P < 0.05).ConclusionsThe prevalence of frailty among older adults with comorbidities is exceptionally high, influenced by various dimensions from health ecology perspective. Psychological care and daily behavior management should be strengthened for the frail older with multimorbidity. Precise and individualized care interventions need to be developed to help promote healthy aging.

Project description:ObjectivesTo investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults.DesignA cross-sectional study.SettingSix community healthcare centres in Xi'an City, Northwest China.ParticipantsA total of 2647 community dwelling older adults completed the study between March and August 2021.Primary and secondary outcome measuresThe primary outcome was the prevalence of frailty, measured with the Comprehensive Frailty Assessment Instrument. The secondary outcomes were potential factors associated with frailty, measured with a social-demographic and health-related information sheet, the Short-Form Mini-Nutritional Assessment and the Pittsburgh Sleep Quality Index.ResultsThe participants averaged 27.77±10.13 in the total score of the Comprehensive Frailty Assessment Instrument. According to the cut-off points defining the classification of frailty, the majority of the participants were with mild (n=1478, 55.8%) or high (n=390, 14.8%) frailty. Multivariate stepwise linear regression analysis demonstrated that older age, lower educational level, empty nesters, higher level of self-perceived medical burden, abnormal body weight, physical inactivity, medication taking, increased number of clinic visit, undernutrition and poor sleep quality are associated with higher total score in the Comprehensive Frailty Assessment Instrument, indicating higher level of frailty. Multivariate multinomial logistic regression analysis exhibited similar findings but further captured female gender as a risk factor for the presence of mild and high frailty compared with no-low frailty.ConclusionThe prevalence of the comprehensive frailty and frailty in the physiological, psychological, social and environmental domains is high. A variety of social-demographic, health-related and behavioural factors were associated with the comprehensive frailty. Further investigations on frailty prevalence and its associated factors based on comprehensive assessments are desirable.

Project description:BackgroundSocial frailty has not been comprehensively studied in China. Our objective is to investigate the prevalence of social frailty among the older population in China, as well as identify relevant factors and urban-rural differences.MethodsWe obtained data from the Fourth Sample Survey of the Aged Population in Urban and Rural China (SSAPUR) database. The study employed a multistage, stratified, cluster-sampling method, recruiting a total of 224,142 adults aged 60 years or older. Participants were interviewed to gather demographic data and information on family, health and medical conditions, health care service status, living environment conditions, social participation, protected rights status, spiritual and cultural life, and health. Social frailty was assessed using the HALFE Social Frailty Index. A score of three or above indicated social frailty.ResultsWe analyzed a total of 222,179 cases, and the overall prevalence of social frailty was found to be 15.2%. The highest prevalence was observed among participants aged 75-79 years (18.0%). The prevalence of social frailty was higher in rural older populations compared to urban older populations (19.9% in rural vs. 10.9% in urban, P < 0.0001). In urban areas, women had a higher prevalence than men (11.7% in women vs. 9.9% in men, P < 0.0001), while in rural areas, men had a higher prevalence than women (20.6% in men vs. 19.2% in women, P < 0.0001). Multivariate regression analysis revealed that living in a rural/urban environment (OR 1.789, 95% CI 1.742-1.837), absence of a spouse/spousal presence (OR 4.874, 95% CI 4.743-5.009), self-assessed unhealthy/health status (OR 1.696, 95% CI 1.633-1.761), and housing dissatisfaction/satisfaction (OR 2.303, 95% CI 2.233-2.376) were all significantly associated with social frailty.ConclusionsUsing the HALFE social frailty index, we found a prevalence of 15.2% among older people in China, with the highest prevalence observed in the 75-79 age group. Social frailty was more prevalent in rural areas than in urban areas. Various factors, including spousal presence, housing satisfaction, health status, and urban-rural residential differences, were significantly associated with social frailty. These findings highlight the modifiable and non-modifiable factors that contribute to social frailty among older individuals in China.

Project description:OBJECTIVE:This study aimed to report prevalence and evaluate the association between multimorbidity and associated risk factors in the adult population of Bangladesh. DESIGN:A cross-sectional study was conducted using a multistage clustered random sampling strategy. SETTING:The study was conducted among the general population of 58 districts in Bangladesh. PARTICIPANTS:A total of 12 338 male and female individuals aged ≥35 were included for analysis in this study. Identified through a household listing conducted prior to the study, from 15 297 individuals meeting the inclusion criteria, 12 338 participants were included based on availability during data collection, consent and health condition. OUTCOME MEASURES:Multimorbidity in terms of hypertension, diabetes, cancer, cardiovascular diseases, stroke and chronic obstructive pulmonary disease. RESULTS:Approximately 8.4% (95% CI 7.0 to 9.7) of individuals suffer from multimorbidity, of which hypertension accounted for (30.1%) followed by diabetes (10.6%). The mean age of the population was 58.6 (SD ±9.2) years. The prevalence of multimorbidity was lower among men (7.7%) compared with women (8.9%). The likelihood of having multimorbidity among obese individuals were more than double than people with normal body mass index (BMI). Physical activity protected individuals from developing multimorbidity: however, the physical activity adjusted OR was 0.5 (95% CI 0.2 to 1.2). After adjusting for all covariates, higher age, higher educational status, economic status, and higher BMI were found to be significantly associated with the odds of developing multimorbidity, with an overall adjusted OR of 0.02 (95% CI 0.01 to 0.02). CONCLUSION:This study reported a high prevalence of multimorbidity in Bangladesh, although it explored the burden and identified risk factors considering only six chronic diseases. Further detailed exploration through longitudinal studies considering a wider range of diseases is needed to document the actual burden, develop effective preventive measures and clinical guidelines to improve the quality of life of the population.

Project description:ObjectivesAgeing populations have led to a growing prevalence of multimorbidity. Cardiometabolic multimorbidity (CM), the co-existence of two or more cardiometabolic disorders in the same person, is rapidly increasing. We examined the prevalence and risk factors associated with CM in a population-based sample of South African adults.Study designData were analysed on individuals aged ≥15 years from the South African National Health and Nutrition Examination Survey (SANHANES), a cross sectional population-based survey conducted in 2011-2012.MethodsCM was defined as having ≥2 of hypertension, diabetes, stroke and angina. Hypertension was defined as blood pressure ≥140/90 mmHg or self-reported antihypertensive medication use. Diabetes was defined by HbA1c ≥ 6.5% or self-reported medication use. Stroke and angina were assessed by self-report. Multivariable logistic regression was used to investigate the sociodemographic and modifiable risk factors associated with CM. The association of CM with the functional status of individuals was examined using logistic regression, where functional status was measured by the WHO DAS 2.0 12-item instrument.ResultsOf the 3832 individuals analysed, the mean age was 40.8 years (S.D. 18.3), 64.5% were female and 18% were ≥60 years. The prevalence of CM was 10.5%. The most prevalent CM cluster was hypertension and diabetes (7.3%), followed by hypertension and angina (2.6%) and hypertension and stroke (1.9%). Of the individuals with diabetes, nearly three quarters had multimorbidity from co-occurring hypertension, angina and/or stroke and of those with hypertension, 30% had co-occurring diabetes, angina and/or stroke. Age (30-44 years Adjusted Odds Ratio (AOR) = 2.68, 95% CI: 1.15-6.26), 45-59 years AOR = 16.32 (7.38-36.06), 60-74 years AOR = 40.14 (17.86-90.19), and ≥75 years AOR = 49.54 (19.25-127.50) compared with 15-29 years); Indian ethnicity (AOR = 2.58 (1.1-6.04) compared with black African ethnicity), overweight (AOR = 2.73 (1.84-4.07)) and obesity (AOR = 4.20 (2.75-6.40)) compared with normal or underweight) were associated with increased odds of CM. When controlling for age, sex and ethnicity, having ≥2 conditions was associated with significantly higher WHO DAS percentage scores (β = 5.4, S.E. = 1.1, p < 0.001).ConclusionsA tenth of South Africans have two or more cardiometabolic conditions. The findings call for immediate prioritisation of prevention, screening and management of cardiometabolic conditions and their risk factors to avert large scale health care costs and adverse health outcomes associated with multimorbidity.

Dataset Information

Prevalence and factors associated with multimorbidity among older adults in Malaysia: a population-based cross-sectional study.

Objectives

Design

Setting

Participants

Primary outcome measures

Results

Conclusion

Publications

Prevalence and factors associated with multimorbidity among older adults in Malaysia: a population-based cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets