Dataset Information

Prevalence and correlates of multimorbidity among adults in Botswana: A cross-sectional study.

ABSTRACT: BACKGROUND:Botswana is currently undergoing rapid epidemiological transition indicated by a decline in infectious diseases and an increase in chronic non-communicable diseases and their associated risk factors. The main aim of this study was to assess prevalence and correlates of multimorbidity among the adult population in Botswana. METHODS:A cross-sectional study called Chronic Non-Communicable Diseases Study (NCDs study) was conducted in March, 2016. Using multistage cross sectional sampling design, 1178 male and female respondents aged 15 years and above were interviewed across 3 cities and towns, 15 urban villages and 15 rural villages. Participants were interviewed face-to-face using a structured questionnaire. Adjusted multinomial logistic regression analysis was used to assess covariates of multimorbidity. The statistical significant level was fixed at p <0 .05. RESULTS:Prevalence of multimorbidity in the sampled population was estimated at 5.4%. Multivariate results indicate that the odds of multimobridty were significantly high among women (AOR = 3.34, 95% C.I. = 1.22-21.3) than men. On the other hand, the odds of multimorbidity were significantly low among young people aged below 24 years (AOR = 0.01, 95% C.I. = 0.00-0.07), currently married people (AOR = 0.24, 95% C.I. = 0.07-0.80) and individuals in the 2nd wealth quintile (AOR = 0.20, 95% C.I. = 0.05-0.75) compared to their counterparts. For behavioural risk factors, alcohol consumption (AOR = 4.80, 95% C.I. = 1.16-19.8) and overweight/obesity (AOR = 1.44, 95% CI = 1.12-2.61) were significantly associated with high multimorbidity prevalence. CONCLUSION:Multimorbidity was found to be more prevalent among women, alcohol consumers and overweight/obese people. There is need to strengthen interventions encouraging healthy lifestyles such as non-consumption of alcohol, physical activity and healthy diets. Moreover, there is need for a holistic approach of health care services to meet the needs of those suffering from multimorbidity.

SUBMITTER: Keetile M

PROVIDER: S-EPMC7518622 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and correlates of multimorbidity among adults in Botswana: A cross-sectional study.

Keetile Mpho M Navaneetham Kannan K Letamo Gobopamang G

PloS one 20200925 9

<h4>Background</h4>Botswana is currently undergoing rapid epidemiological transition indicated by a decline in infectious diseases and an increase in chronic non-communicable diseases and their associated risk factors. The main aim of this study was to assess prevalence and correlates of multimorbidity among the adult population in Botswana.<h4>Methods</h4>A cross-sectional study called Chronic Non-Communicable Diseases Study (NCDs study) was conducted in March, 2016. Using multistage cross sect ...[more]

PMID: 32976484

Similar Datasets

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:ObjectivesPeople with HIV have high levels of multimorbidity, but studies often focus on high-risk comorbidities such as hypertension or coronary artery disease. We examined both high-risk and functional comorbidities in an ethnically diverse clinic population to compare the prevalence of comorbidities and different patterns of multimorbidity.DesignRetrospective cross-sectional study.SettingUniversity-based primary care HIV clinic with two locations in New York City.ParticipantsPatients who had been seen by a physician at least once between 1 June 2016 and 31 May 2017.Primary and secondary outcome measuresData regarding demographics, diagnoses and lab values were downloaded in a one-time data import from the electronic medical record. Comorbidities were classified as high-risk (with major impact on mortality) or functional (with major impact on function), and multimorbidity was determined for both classes in the total sample of 2751. Factors associated with high-risk and functional multimorbidity were determined first through bivariate analysis and then through multivariable median regression in 2013 patients with complete data.ResultsMedian age was 52 years (IQR 43-59). Cisgendered women comprised 24.6% of the sample, and 31.7% were African-American. Both functional and high-risk comorbidities were common and risk increased with age. Among those 75 and older, median number of both functional and high-risk comorbidities was 3 (IQR 2-4). High-risk comorbidities were associated with age (p<0.001), more years with an HIV diagnosis (p<0.001) and being an African-American (p<0.001). Associated with a higher number of functional comorbidities were age (p<0.001), being a cisgender female (p<0.001), being Hispanic (p=0.01) and more years with an HIV diagnosis (p<0.001).ConclusionsComorbidities with functional impact increase with age in parallel to those with a more direct impact on mortality and should be assessed and monitored, especially as the population with HIV ages.

Project description:Mobile health apps have changed the way people obtain health information and services and advance their understanding and management of their health. Although many health apps are available, little is known about the prevalence of their use for different purposes, whether such use is associated with demographic characteristics, and the impacts of their use on health knowledge and management.The main objectives of this study were to examine the prevalence, extent, and demographic correlates of health app use and the perceived impacts of health app use on increased health knowledge and improved health condition management.We conducted a cross-sectional questionnaire survey of 633 Chinese adults randomly drawn from the general population in Hong Kong.Of the 633 participants, 612 (96.7%) reported using mobile devices. Of them, 235 (38.4%) reported using multiple types of health apps. The most-used type of health app was about healthy living information (197/612, 32.2%), followed by measuring/recording vital signs (80/612, 13.1%), health and medical reminders (64/612, 10.5%), recovery and rehabilitation information (42/612, 6.9%), diagnosis assistance (28/612, 4.6%), emergency services (16/612, 2.6%), telehealth (11/612, 1.8%), and “other” (19/612, 3.1%). Multivariate logistic regression analysis found that health app users were more likely to be women (odds ratio [OR] 1.68, 95% CI 1.14-2.48, P=.01) of a higher self-rated social class (OR 3.66, 95% CI 1.11-12.11, P=.03). Participants who worked in education/culture/academia (OR 2.31, 95% CI 1.16-4.59, P=.02) or disciplinary forces (OR 5.07, 95% CI 1.25-20.62, p=.02) were more likely to believe that using health apps could increase their health knowledge; participants working in education/culture/academia were also more likely to believe that using health apps could improve the effectiveness of health condition management (OR 2.18, 95% CI 1.10-4.34, P=.03).Effort should be made to promote health app use, especially to demographic groups that are currently less likely to use health apps (eg, males, individuals from lower social classes). From the public health perspective, guidelines could be developed to help individuals identify quality health apps that meet their needs. Moreover, app developers could improve the usability of health apps to promote health app use.

Dataset Information

Prevalence and correlates of multimorbidity among adults in Botswana: A cross-sectional study.

Publications

Prevalence and correlates of multimorbidity among adults in Botswana: A cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets