Journal of multimorbidity and comorbidity最新文献

{"title":"Profiles and predictors of child neurodevelopment and anthropometry: The maternal-infant research on environmental chemicals study.","authors":"Marisa A Patti, Karl T Kelsey, Amanda J MacFarlane, George D Papandonatos, Bruce P Lanphear, Joseph M Braun","doi":"10.1177/26335565241312840","DOIUrl":"10.1177/26335565241312840","url":null,"abstract":"<p><strong>Background: </strong>Evaluating individual health outcomes does not capture co-morbidities children experience.</p><p><strong>Purpose: </strong>We aimed to describe profiles of child neurodevelopment and anthropometry and identify their predictors.</p><p><strong>Methods: </strong>Using data from 501 mother-child pairs (age 3-years) in the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, a prospective cohort study, we developed phenotypic profiles by applying latent profile analysis to twelve neurodevelopmental and anthropometric traits. Using multinomial regression, we evaluated odds of phenotypic profiles based on maternal, sociodemographic, and child level characteristics.</p><p><strong>Results: </strong>For neurodevelopmental outcomes, we identified three profiles characterized by Non-optimal (9%), Typical (49%), and Optimal neurodevelopment (42%). For anthropometric outcomes, we observed three profiles of Low (12%), Average (61%), and Excess Adiposity (27%). When examining joint profiles, few children had both Non-optimal neurodevelopment and Excess Adiposity (2%). Lower household income, lower birthweight, younger gestational age, decreased caregiving environment, greater maternal depressive symptoms, and male sex were associated with increased odds of being in the Non-optimal neurodevelopment profile. Higher pre-pregnancy body mass index was associated with increased odds of being in the Excess Adiposity profile.</p><p><strong>Conclusions: </strong>Phenotypic profiles of child neurodevelopment and adiposity were associated with maternal, sociodemographic, and child level characteristics. Few children had both non-optimal neurodevelopment and excess adiposity.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"15 ","pages":"26335565241312840"},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11724418/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142973848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimorbidity in patients with atrial fibrillation and community controls: A population-based study.","authors":"Alanna M Chamberlain, Alvaro Alonso, Peter A Noseworthy, Konstantinos C Siontis, Bernard J Gersh, Jill M Killian, Susan A Weston, Lisa E Vaughan, Sheila M Manemann, Véronique L Roger, Euijung Ryu","doi":"10.1177/26335565241310281","DOIUrl":"10.1177/26335565241310281","url":null,"abstract":"<p><strong>Background: </strong>Multimorbidity is common in patients with atrial fibrillation (AF), yet comorbidity patterns are not well documented.</p><p><strong>Methods: </strong>The prevalence of 18 chronic conditions (6 cardiometabolic, 7 other somatic, 5 mental health) was obtained in patients with new-onset AF from 2013-2017 from a 27-county region and controls matched 1:1 on age, sex, and county of residence. For AF patients and controls separately, clustering of conditions and co-occurrence beyond chance was estimated (using the asymmetric Somers' D statistic), overall and for ages <65, 65-74, 75-84, and ≥85 years.</p><p><strong>Results: </strong>Among 16,509 patients with AF (median age 76 years, 57% men), few (4%) did not have any of the 18 chronic conditions, whereas nearly one-quarter of controls (23%) did not have any chronic conditions. Clustering of cardiometabolic conditions was common in both AF patients and controls, but clustering of other somatic conditions was more common in AF. Although the prevalence of most condition pairs was higher in AF patients, controls had a larger number of condition pairs occurring together beyond chance. In persons aged <65 years, AF patients more frequently exhibited concordance of condition pairs that included either pairs of somatic conditions or a combination of conditions from different condition groups. In persons aged 65-74 years, AF patients more frequently had pairs of other somatic conditions.</p><p><strong>Conclusion: </strong>Patterns of co-existing conditions differed between patients with AF and controls, particularly in younger ages. A better understanding of the clinical consequences of multimorbidity in AF patients, including those diagnosed at younger ages, is needed.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241310281"},"PeriodicalIF":0.0,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11663275/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142878695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between number and type of conditions and physical activity levels in adults with multimorbidity - a cross-sectional study from the Danish Lolland-Falster health study.","authors":"Lars Bo Jørgensen, Sofie Rath Mortensen, Lars Hermann Tang, Anders Grøntved, Jan Christian Brønd, Randi Jepsen, Therese Lockenwitz Petersen, Søren T Skou","doi":"10.1177/26335565241307614","DOIUrl":"10.1177/26335565241307614","url":null,"abstract":"<p><strong>Aim: </strong>To provide detailed descriptions of the amount of daily physical activity (PA) performed by people with multimorbidity and investigate the association between the number of conditions, multimorbidity profiles, and PA.</p><p><strong>Methods: </strong>All adults (≥18 years) from The Lolland-Falster Health Study, conducted from 2016 to 2020, who had PA measured with accelerometers and reported medical conditions were included (n=2,158). Sedentary behavior and daily PA at light, moderate, vigorous, and moderate to vigorous intensity and number of steps were measured with two accelerometers. Associations were investigated using multivariable and quantile regression analyses.</p><p><strong>Results: </strong>Adults with multimorbidity spent nearly half their day sedentary, and the majority did not adhere to the World Health Organization's (WHO) PA recommendations (two conditions: 63%, three conditions: 74%, ≥four conditions: 81%). Number of conditions was inversely associated with both PA for all intensity levels except sedentary time and daily number of steps. Participants with multimorbidity and presence of mental disorders (somatic/mental multimorbidity) had significantly lower levels of PA at all intensity levels, except sedentary time, and number of daily steps, compared to participants with multimorbidity combinations of exclusively somatic conditions.</p><p><strong>Conclusion: </strong>Levels of sedentary behavior and non-adherence to PA recommendations in adults with multimorbidity were high. Inverse associations between PA and the number of conditions and mental multimorbidity profiles suggest that physical inactivity increases as multimorbidity becomes more complex.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241307614"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11648043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medication adherence among people living with hypertension and diabetes in Puno, Peru: A secondary analysis of formative data of the ANDES trial.","authors":"Parker K Acevedo, Katherine E Lord, Kendra N Williams, Lindsay J Underhill, Lucy Cordova-Ascona, Karina Campos, Gonzalo Cuentas, Joel Gittelsohn, Juan C Mendoza, Lisa de Las Fuentes, Stella M Hartinger, Victor G Dávila-Román, William Checkley","doi":"10.1177/26335565241292325","DOIUrl":"10.1177/26335565241292325","url":null,"abstract":"<p><strong>Background: </strong>Hypertension is the leading modifiable risk factor for premature death globally despite the existence of evidence-based and cost-effective treatments. Medication nonadherence is cited as the main cause of treatment failure for hypertension. In Peru, adherence to anti-hypertensive medications of individuals with both hypertension and type 2 diabetes (T2D) is not well studied. The few studies that have investigated differences in anti-hypertensive medication adherence among patients with and without T2D have demonstrated both positive and negative effects.</p><p><strong>Methods: </strong>In a cross-sectional study in Puno, Peru, we compared anti-hypertensive medication adherence in individuals with hypertension between those with and without comorbid T2D. The primary outcome was adherence to anti-hypertensive medications as assessed by the Hill-Bone Compliance scale. The primary exposure variable was comorbidity status (i.e., having hypertension and diabetes vs. hypertension alone).</p><p><strong>Results: </strong>Of the 204 participants with hypertension (mean age 67 ± 11 years, 60% female), 42 (21%) had comorbid diabetes. Participants with comorbid disease had higher overall anti-hypertensive adherence scores (49.5 ± 2.8 vs. 48.0 ± 4.1 points; p<0.001) and higher medication adherence scores (32.8 ± 2.2 vs. 31.3 ± 3.7 points; p<0.01) when compared to those with hypertension alone. In multivariable regression, comorbid diabetes and monthly income above 250 soles (68 USD) were associated with higher Hill-Bone Compliance scale scores by 1.5 ± 0.7 points (p=0.025) and 2.0 ± 0.7 points (p<0.01), respectively.</p><p><strong>Conclusions: </strong>Participants with comorbid hypertension and diabetes exhibited higher adherence to anti-hypertensive medications when compared to those with hypertension alone, suggesting that individuals with comorbid disease are more likely to adhere to anti-hypertensive medications.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241292325"},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11629415/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142808836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of HIV and prevalent type 2 diabetes mellitus in the context of obesity in South Africa.","authors":"Itai M Magodoro, Alison C Castle, Ndumiso Tshuma, Julia H Goedecke, Ronel Sewpaul, Justen Manasa, Jennifer Manne-Goehler, Ntobeko Ab Ntusi, Moffat J Nyirenda, Mark J Siedner","doi":"10.1177/26335565241293691","DOIUrl":"10.1177/26335565241293691","url":null,"abstract":"<p><strong>Background: </strong>It is unclear how rising obesity among people with HIV (PWH) impacts their risk of type 2 diabetes mellitus (diabetes). We examined associations between HIV, prevalent diabetes and adiposity among South African PWH and their peers without HIV (PWOH).</p><p><strong>Methods: </strong>HIV status was ascertained by antibody testing. Diabetes was defined as current use of oral hypoglycemics, insulin, and/or HbA1c ≥6.5%. Adiposity was measured by body mass index (BMI), waist circumference and waist-to-height ratio. Their associations were examined using sex-stratified multivariable fractional polynomial generalized linear models, reporting adjusted prevalence and prevalence ratios (adjPR).</p><p><strong>Results: </strong>The mean age among 1,254 PWH and 4,381 PWOH was 41 years (95%CI 28, 56). The prevalence of diabetes among males was similar between PWH [11.3% (7.1, 15.5)] and PWOH [9.8% (8.5, 11.1); p=0.740]. By contrast, diabetes prevalence was higher among female PWOH [15.7% (14.4, 17.0)] than female PWH [10.5 (8.3, 12.8)%; adjPR: 0.67 (0.51, 0.82); p<0.001]. This difference was accentuated with obesity but reversed with leanness. At BMI ≥25 kg/m², female PWH had lower diabetes prevalence [adjPR: 0.58 (0.41, 0.76); p<0.001] than female PHIV. In contrast, at BMI <18 kg/m², female PWH had higher prevalence [adjPR: 1.72 (-1.53, 4.96); p=0.756] than female PWOH.</p><p><strong>Conclusion: </strong>We found sex-specific differences in the relationship between adiposity and diabetes prevalence by HIV serostatus in South Africa. Notably, females living with obesity and HIV had lower prevalence of diabetes than females living with obesity and without HIV, which may have particular implications for diabetes prevention programs in the region.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241293691"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of the quality of life of comorbid and non-comorbid people living with HIV/AIDS in a Nigerian secondary healthcare facility.","authors":"Dalhatu Muhammad Ahmad, Haruna Rashid Muhammad, Shuaibu Aliyu, Don Eliseo Lucero-Prisno","doi":"10.1177/26335565241293930","DOIUrl":"10.1177/26335565241293930","url":null,"abstract":"<p><strong>Introduction: </strong>Quality of life (QoL) is a vital healthcare indicator among people living with human immunodeficiency virus (PLWHA). Assessing the effects of comorbidities on QoL among PLWHA is of clinical and public health importance. This study compared the QoL of comorbid and non-comorbid PLWHA at St. Gerard's Catholic Hospital (SGCH), Kaduna.</p><p><strong>Methods: </strong>This was a prospective cross-sectional study of 178 conveniently selected and stratified comorbid PLWHA and 172 non-comorbid PLWHA receiving care at the facility. Data was collected using a structured, interviewer-administered instrument. The QoL scores were statistically compared using the Mann‒Whitney U test. <i>P</i><0.05 was considered statistically significant for all the analyses.</p><p><strong>Results: </strong>Most respondents were aged 35 - 54 years (65.2% and 66.4% for comorbid and non-comorbid patients respectively), were female (70.8% and 69.2% for comorbid and non-comorbid patients respectively) and married (67.4% and 59.3% for comorbid and non-comorbid patients respectively). For all QoL domains (perception of QoL and general health, physical health, psychological health, level of independence, social relationship, environment, and spirituality/religion/personal beliefs), there was evidence the distribution of values was significantly lower in the comorbid PLWHA compared to the non-comorbid PLWHA (p<0.001), with the largest difference seen for physical health. The mean physical health (interquartile range) was 9 (7-10) and 17 (15-19) for comorbid and non-comorbid PLWHA respectively. The most prevalent comorbidities among the PLWHA were hypertension 97 (54.49%) and diabetes 36 (20.22%).</p><p><strong>Conclusion: </strong>Non-comorbid PLWHA had better QoL than comorbid PLWHA in all the QoL domains and the greatest difference was observed in physical health. Special efforts should be made to improve the QoL of comorbid PLWHA.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241293930"},"PeriodicalIF":0.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Eliciting and prioritising determinants of improved care in multimorbidity: A modified online Delphi study\".","authors":"","doi":"10.1177/26335565241279342","DOIUrl":"10.1177/26335565241279342","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1177/26335565231194552.].</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241279342"},"PeriodicalIF":0.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457175/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing SysteMatic: Prevention, precision and equity by design for people living with multiple long-term conditions.","authors":"Frances S Mair, Farnaz Nickpour, Barbara Nicholl, Sara MacDonald, Dan W Joyce, Jonathan Cooper, Nic Dickson, Isobel Leason, Qammer H Abbasi, Izzettin F Akin, Fani Deligianni, Elizabeth Camacho, Jennifer Downing, Hilary Garrett, Martina Johnston Gray, David J Lowe, Muhammad A Imran, Sandosh Padmanabhan, Colin McCowan, P John Clarkson, Lauren E Walker, Iain Buchan","doi":"10.1177/26335565241272682","DOIUrl":"10.1177/26335565241272682","url":null,"abstract":"<p><strong>Background: </strong>The number of individuals living with multiple (≥2) long term conditions (MLTCs) is a growing global challenge. People with MLTCs experience reduced life expectancy, complex healthcare needs, higher healthcare utilisation, increased burden of treatment, poorer quality of life and higher mortality. Evolving technologies including artificial intelligence (AI) could address some of these challenges by enabling more preventive and better integrated care, however, they may also exacerbate inequities.</p><p><strong>Objective: </strong>We aim to deliver an equity focused, action-ready plan for transforming MLTC prevention and care, co-designed by people with lived experience of MLTCs and delivered through an Innovation Hub: SysteMatic.</p><p><strong>Design: </strong>Our Hub is being co-designed by people with lived experience of MLTCs, practitioners, academics and industry partners in Liverpool and Glasgow, UK. This work builds on research into mental-physical health interdependence across the life-course, and on mobilisation of large-scale quantitative data and technology validation in health and care systems serving deprived populations in Glasgow and Liverpool. We work with 3 population segments: 1) Children & Families: facing psychosocial and environmental challenges with lifetime impacts; 2). Working Life: people with poorly integrated mental, physical and social care; and 3) Pre-Frailty: older people with MLTCs. We aim to understand their experiences and in parallel look at routinely collected health data on people with MLTCs to help us identify targets for intervention. We are co-identifying opportunities for systems transformation with our patient partners, healthcare professionals and through discussion with companies and public-sector organisations. We are co-defining 3/5/7-year MLTC innovation/transition targets and sustainable learning approaches<b>.</b></p><p><strong>Discussion: </strong>SysteMatic will deliver an actionable MLTC Innovation Hub strategic plan, with investment from the UK National Health Service, civic health and care partners, universities, and industry, enabling feedback of well-translated, patient and public prioritised problems into the engineering, physical, health and social sciences to underpin future equitable innovation delivery.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241272682"},"PeriodicalIF":0.0,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11447698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Epidemiology and impact of chronic disease multimorbidity in India: a systematic review and meta-analysis\".","authors":"","doi":"10.1177/26335565241283936","DOIUrl":"https://doi.org/10.1177/26335565241283936","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1177/26335565241258851.].</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241283936"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11409281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiology of multimorbidity in Nepal: A systematic review and meta-analysis.","authors":"Abhinav Sinha, S Shradha Suman, Narayan Subedi, Krushna Chandra Sahoo, Mukesh Poudel, Arohi Chauhan, Banamber Sahoo, Marjan van den Akker, David Weller, Stewart W Mercer, Sanghamitra Pati","doi":"10.1177/26335565241284022","DOIUrl":"https://doi.org/10.1177/26335565241284022","url":null,"abstract":"<p><strong>Background: </strong>Multimorbidity is rising in low-and middle-income countries such as Nepal, yet the research has not gained pace in this field. We aimed to systematically review the existing multimorbidity literature in Nepal and estimate the prevalence and map its risk factors and consequences.</p><p><strong>Methods: </strong>We reviewed data collated from PubMed, Embase and CINAHL by including original studies that reported prevalence of multimorbidity in Nepal. The quality of included studies was assessed using the Appraisal Tool for Cross-sectional Studies. The summary of the review is presented both qualitatively as well as through meta-analysis to give pooled prevalence. We prospectively registered in PROSPERO (CRD42024499598).</p><p><strong>Results: </strong>We identified 423 studies out of which seven were included in this review. All studies were conducted in a community setting except one which was hospital based. The prevalence reported across various studies ranged from 13.96% to 70.1%. The pooled prevalence of multimorbidity was observed to be 25.05% (95% CI: 16.99 to 34.09). The number of conditions used to assess multimorbidity ranged from four to nine. The major risk factors identified were increasing age, urban residence, and lower literacy rates.</p><p><strong>Conclusion: </strong>A wide variance in the prevalence of multimorbidity was observed. Moreover, multimorbidity assessment tool/conditions considered for assessing multimorbidity were heterogeneous.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241284022"},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11409287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}