Journal of multimorbidity and comorbidity最新文献

{"title":"Conceptualizing COVID-19 syndemics: A scoping review.","authors":"Nicola Bulled, Merrill Singer","doi":"10.1177/26335565241249835","DOIUrl":"https://doi.org/10.1177/26335565241249835","url":null,"abstract":"<p><strong>Background: </strong>COVID-19's heavy toll on human health, and its concentration within specific at-risk groups including the socially vulnerable and individuals with comorbidities, has made it the focus of much syndemic discourse. Syndemic theory recognizes that social factors create the conditions that support the clustering of diseases and that these diseases interact in a manner that worsens health outcomes. Syndemics theory has helped to facilitate systems-level approaches to disease as a biosocial phenomenon and guide prevention and treatment efforts. Despite its recognized value, reviews of syndemics literature have noted frequent misuse of the concept limiting its potential in guiding appropriate interventions.</p><p><strong>Objective: </strong>To review how the term 'syndemic' is defined and applied within peer-reviewed literature in relation to COVID-19.</p><p><strong>Design: </strong>A scoping review of definitions within COVID-19 literature published between January 1, 2020 to May 15, 2023 was conducted. Searches took place across six databases: Academic Search Premier, CINAHL, JSTOR, MEDLINE/Pubmed, PsycINFO and Scopus. PRISMA-ScR guidelines were followed.</p><p><strong>Results: </strong>Content analysis revealed that COVID-19 has varied clustered configurations of communicable-non-communicable diseases and novel communicable disease interactions. Spatial analysis was presented as a new strategy to evidence syndemic arrangements. However, syndemics continue to be regarded as universal, with continued misunderstanding and misapplication of the concept.</p><p><strong>Conclusion: </strong>This review found that current applications of syndemics remain problematic. Recommendations are made on the design of syndemic studies. A syndemic framework offers an opportunity for systems-level thinking that considers the full complexity of human-disease interactions and is useful to inform future pandemic preparations and responses.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241249835"},"PeriodicalIF":0.0,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11055430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140874151","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":"Assigning disease clusters to people: A cohort study of the implications for understanding health outcomes in people with multiple long-term conditions.","authors":"Thomas Beaney, Jonathan Clarke, David Salman, Thomas Woodcock, Azeem Majeed, Mauricio Barahona, Paul Aylin","doi":"10.1177/26335565241247430","DOIUrl":"https://doi.org/10.1177/26335565241247430","url":null,"abstract":"<p><strong>Background: </strong>Identifying clusters of co-occurring diseases may help characterise distinct phenotypes of Multiple Long-Term Conditions (MLTC). Understanding the associations of disease clusters with health-related outcomes requires a strategy to assign clusters to people, but it is unclear how the performance of strategies compare.</p><p><strong>Aims: </strong>First, to compare the performance of methods of assigning disease clusters to people at explaining mortality, emergency department attendances and hospital admissions over one year. Second, to identify the extent of variation in the associations with each outcome between and within clusters.</p><p><strong>Methods: </strong>We conducted a cohort study of primary care electronic health records in England, including adults with MLTC. Seven strategies were tested to assign patients to fifteen disease clusters representing 212 LTCs, identified from our previous work. We tested the performance of each strategy at explaining associations with the three outcomes over 1 year using logistic regression and compared to a strategy using the individual LTCs.</p><p><strong>Results: </strong>6,286,233 patients with MLTC were included. Of the seven strategies tested, a strategy assigning the count of conditions within each cluster performed best at explaining all three outcomes but was inferior to using information on the individual LTCs. There was a larger range of effect sizes for the individual LTCs within the same cluster than there was between the clusters.</p><p><strong>Conclusion: </strong>Strategies of assigning clusters of co-occurring diseases to people were less effective at explaining health-related outcomes than a person's individual diseases. Furthermore, clusters did not represent consistent relationships of the LTCs within them, which might limit their application in clinical research.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241247430"},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11025432/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140873798","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 trajectories in early adulthood and middle age: Findings from the CARDIA prospective cohort study.","authors":"C Barrett Bowling, Richard A Faldowski, Richard Sloane, Carl Pieper, Tyson H Brown, Erin E Dooley, Brett T Burrows, Norrina B Allen, Kelley Pettee Gabriel, Cora E Lewis","doi":"10.1177/26335565241242277","DOIUrl":"10.1177/26335565241242277","url":null,"abstract":"<p><strong>Background: </strong>Multimorbidity research has focused on the prevalence and consequences of multimorbidity in older populations. Less is known about the accumulation of chronic conditions earlier in the life course.</p><p><strong>Methods: </strong>We identified patterns of longitudinal multimorbidity accumulation using 30 years of data from in-person exams, annual follow-ups, and adjudicated end-points among 4,945 participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study. Chronic conditions included arthritis, asthma, atrial fibrillation, cancer, end stage renal disease, chronic obstructive pulmonary disease, coronary heart disease, diabetes, heart failure, hyperlipidemia, hypertension, and stroke. Trajectory patterns were identified using latent class growth curve models.</p><p><strong>Results: </strong>Mean age (SD) at baseline (1985-6) was 24.9 (3.6), 55% were female, and 51% were Black. The median follow-up was 30 years (interquartile range 25-30). We identified six trajectory classes characterized by when conditions began to accumulate and the rapidity of accumulation: (1) early-fifties, slow, (2) mid-forties, fast, (3) mid-thirties, fast, (4) late-twenties, slow, (5) mid-twenties, slow, and (6) mid-twenties, fast. Compared with participants in the early-fifties, slow trajectory class, participants in mid-twenties, fast were more likely to be female, Black, and currently smoking and had a higher baseline mean waist circumference (83.6 vs. 75.6 cm) and BMI (27.0 vs. 23.4 kg/m²) and lower baseline physical activity (414.1 vs. 442.4 exercise units).</p><p><strong>Conclusions: </strong>A life course approach that recognizes the heterogeneity in patterns of accumulation of chronic conditions from early adulthood into middle age could be helpful for identifying high risk subgroups and developing approaches to delay multimorbidity progression.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241242277"},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10998492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140874321","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":"Short and medium-term outcomes in individuals hospitalized with acute myocardial infarction and multiple chronic conditions: The Worcester heart attack study.","authors":"Christopher Zammitti, Mayra Tisminetzky, Jordy Mehawej, Hawa O Abu, Ruben Miozzo, Joel M Gore, Darleen Lessard, Benita A Bamgbade, Jorge Yarzebski, Jerry H Gurwitz, Robert J Goldberg","doi":"10.1177/26335565241242279","DOIUrl":"10.1177/26335565241242279","url":null,"abstract":"<p><strong>Background: </strong>Multiple chronic conditions (MCCs) are common in patients hospitalized with acute myocardial infarction (AMI). We examined the association of 12 MCCs with the risk of a 30-day hospital readmission and/or dying within one year among those discharged from the hospital after an AMI. We also examined the five most prevalent pairs of chronic conditions in this population and their association with the principal study endpoints.</p><p><strong>Methods: </strong>The study population consisted of 3,294 adults hospitalized with a confirmed AMI at the three major medical centers in central Massachusetts on an approximate biennial basis between 2005 and 2015. Patients were categorized as ≤1, 2-3, and ≥4 chronic conditions.</p><p><strong>Results: </strong>The median age of the study population was 67.9 years, 41.6% were women, and 15% had ≤1, 32% had 2-3, and 53% had ≥4 chronic conditions. Patients with ≥4 conditions tended to be older, had a longer hospital stay, and received fewer cardiac interventional procedures. There was an increased risk for being rehospitalized during the subsequent 30 days according to the presence of MCCs, with the highest risk for those with ≥4 conditions. There was an increased, but attenuated, risk for dying during the next year according to the presence of MCCs. Individuals with diabetes/hypertension and those with heart failure/chronic kidney disease were at particularly high risk for developing the principal study outcomes.</p><p><strong>Conclusion: </strong>Development of guidelines that include complex patients, particularly those with MCCs and those at high risk for adverse short/medium term outcomes, remain needed to inform best treatment practices.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241242279"},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10976488/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320031","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":"Perceptions and experiences of living with and providing care for multimorbidity: A qualitative interview study.","authors":"Glenn Simpson, Leanne Morrison, Miriam Santer, Marisza Hijryana, Andrew Farmer, Hajira Dambha-Miller","doi":"10.1177/26335565241240820","DOIUrl":"10.1177/26335565241240820","url":null,"abstract":"<p><strong>Background: </strong>Experiences of living with and seeking care for multimorbidity is a relatively under-researched field. By analysing experiences of people with multimorbidity, caregivers and care professionals, we can better understand the complex care needs of those with multimorbidity and identify improvements to care management. This paper reports findings from research that elicited the views of key stakeholders to inform future care practice and policy.</p><p><strong>Aim: </strong>To elicit care recipient and care provider views to understand the care needs of those living with and seeking care for multimorbidity.</p><p><strong>Method: </strong>A qualitative interview study using purposive sampling of those living with and providing care in multimorbidity.</p><p><strong>Results: </strong>Increased support to those with multimorbidity and caregivers to navigate care systems was advocated. Establishing trusting care relationships featured prominently in participants accounts. Fragmented care, inadequate coordination and poor communication between care providers, were identified as system-wide challenges. There was agreement that integrated care models were needed, which delivered personalised care, such as shared decision-making, choice in care options and accessing services, and individualised care plans.</p><p><strong>Conclusion: </strong>We found significant agreement among stakeholders on care need and management in multimorbidity. Understanding the experiences of those with multimorbidity, caregivers and care professionals, can inform future improvements in care management.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241240820"},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140289836","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":"Impaired sleep, multimorbidity, and self-rated health among Canadians: Findings from a nationally representative survey.","authors":"Shirmin Bintay Kader, Nahin Shakurun, Bonnie Janzen, Punam Pahwa","doi":"10.1177/26335565241228549","DOIUrl":"10.1177/26335565241228549","url":null,"abstract":"<p><strong>Background: </strong>Self-rated health (SRH) is a globally recognized measure of health status. Both impaired sleep (IS) and the presence of multimorbidity are related to poorer SRH, but the precise nature of these associations remains unclear. This study explored the association between IS, multimorbidity, and SRH among Canadian adults.</p><p><strong>Method: </strong>We used 2017-18 Canadian Community Health Survey (CCHS) data for this study. The main variable of interest, self-rated health (SRH), measured participants' health on a 5-point Likert scale, later categorized as \"good or better\" <i>vs.</i> \"fair or poor\". The primary predictor, IS, was derived from two variables and categorized into four groups: no sleep issues; fewer sleeping hours (<7 hours) only; trouble sleeping only; and fewer hours & trouble sleeping. Multimorbidity was present (yes/no) if a participant indicated being diagnosed with two or more chronic conditions.</p><p><strong>Results: </strong>Just over one in ten Canadians reported fair/poor SRH and approximately one-quarter had multimorbidity or experienced few sleep hours in combination with trouble sleeping. The adjusted model indicated greater odds of fair/poor SRH associated with the 40-64 years age group, male sex, and lower socio-economic status. It also suggested the presence of multimorbidity (AOR= 4.63, 95% CI: 4.06-5.28) and a combination of fewer sleep hours and troubled sleep (AOR= 4.05, 95% CI: 2.86-5.74) is responsible for poor SRH. Forty-four percent of the total effect of IS on SRH was mediated by multimorbidity.</p><p><strong>Conclusion: </strong>This unique finding highlights the mediating role of multimorbidity, emphasizing the importance of addressing it alongside sleep issues for optimal health outcomes.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241228549"},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10958807/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140208431","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":"Prevalence of multimorbidity and its associated risk factors among population of Mechinagar municipality of Nepal.","authors":"Suman Lohani, Sanjib Kumar Sharma, Suman Bahadur Singh, Surendra Uranw, Anup Ghimire","doi":"10.1177/26335565241237892","DOIUrl":"10.1177/26335565241237892","url":null,"abstract":"<p><strong>Background: </strong>Multimorbidity is a group of conditions, it has significant impact on the population as a whole, resulting in lower quality of life, higher mortality, frequent use of medical services, and consequently higher healthcare costs. The objective of this study is to document the prevalence of common multimorbidity and its associated risk factors among population of Mechinagar Municipality.</p><p><strong>Methods: </strong>Community-based cross-sectional study was conducted where selected multimorbidity were assessed in selected areas of Mechinagar municipality of Jhapa District . Systematic random sampling technique was used to select 590 adult participants from three pre-defined pocket areas. Pre-designed semi-structured multimorbidity assessment questionnaire for primary care (MAQ-PC)was used to assess prevalence of multimorbidity. Multiple logistic regression was conducted to identify the strongest determinants of multimorbidity.</p><p><strong>Results: </strong>The prevalence of multimorbidity was 22.4%.Hypertension, Diabetes mellitus and COPD was seen in 39.2%, 7.8.% and 4.4% of the participants respectively . Participants with advancing age i. e. 40-49yrs were 12.62 times (AOR) more likely to have multimorbidity compared to their counterparts who were 20-29yrs old( p=<0.01,CI3.01-15.28) after adjusting for occupation, physical activity and family history of kidney disease. Working individuals, Physical inactivity and positive family history of kidney disease were the strongest determinates of multimorbidity.</p><p><strong>Conclusions: </strong>The study revealed that participants with increasing age, working individuals, physical inactivity and family history of kidney disease were more vulnerable of having multimorbidity. The findings of our study indicate need of intervention strategies and community-based health promotion programs in reducing burden of chronic disease among adult population.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241237892"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10943707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140144746","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 and chronic pain management with opioids and other therapies among adults in the United States: A cross-sectional study.","authors":"Rolake A Neba, Hao Wang, Misozi Kolala, Usha Sambamoorthi","doi":"10.1177/26335565241237889","DOIUrl":"10.1177/26335565241237889","url":null,"abstract":"<p><strong>Background: </strong>Multimorbidity, defined as the concurrent presence of ≥ 2 chronic conditions, and chronic pain (i.e., pain lasting ≥3 months) often co-exist. Multimodal pain management that includes non-pharmacologic treatment and non-opioid therapy is recommended to prevent serious risks associated with opioids.</p><p><strong>Purpose: </strong>Estimate the prevalence of types of pain treatment and analyze their associations with multimorbidity using a nationally representative survey in the United States (US).</p><p><strong>Methods: </strong>Data was collected from the 2020 National Health Interview Survey among adults with chronic pain and chronic conditions (N= 12,028). Chronic pain management was grouped into four categories: opioid therapy; non-opioid multimodal pain treatment<i>;</i> pain treatment with monotherapy; and no pain treatment. Chi-square tests and multivariable multinomial logistic regressions were used to analyze the association of multimorbidity with types of pain treatment after controlling for age, sex, social determinants of health (SDoH), and lifestyle characteristics.</p><p><strong>Results: </strong>Among NHIS respondents, 68% had multimorbidity. In adjusted multinomial logistic regressions with \"pain management with monotherapy\" as the reference group, those with multimorbidity were more likely to utilize opioids (AOR=1.63, 95% CI=1.23, 2.17). Those with severe pain were also more likely to use opioid therapy (AOR=19.36, 95% CI=13.35, 28.06) than those with little pain. Those with low income and education were less likely to have multimodal pain management without opioids.</p><p><strong>Conclusion: </strong>Seven in 10 adults had multimorbidity. Those with multimorbidity reported severe pain and relied on opioids for pain control. Regardless of multimorbidity status, SDoH was associated with types of chronic pain management.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241237889"},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10919125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140061470","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":"Variation in multimorbidity by sociodemographics and social drivers of health among patients seen at community-based health centers.","authors":"Wyatt P Bensken, Suparna M Navale, Brenda M McGrath, Nicole Cook, Yui Nishiike, Gretchen Mertes, Rose Goueth, Matthew Jones, Anna Templeton, Stephen J Zyzanski, Siran M Koroukian, Kurt C Stange","doi":"10.1177/26335565241236410","DOIUrl":"10.1177/26335565241236410","url":null,"abstract":"<p><strong>Purpose: </strong>Understanding variation in multimorbidity across sociodemographics and social drivers of health is critical to reducing health inequities.</p><p><strong>Methods: </strong>From the multi-state OCHIN network of community-based health centers (CBHCs), we identified a cross-sectional cohort of adult (> 25 years old) patients who had a visit between 2019-2021. We used generalized linear models to examine the relationship between the Multimorbidity Weighted Index (MWI) and sociodemographics and social drivers of health (Area Deprivation Index [ADI] and social risks [e.g., food insecurity]). Each model included an interaction term between the primary predictor and age to examine if certain groups had a higher MWI at younger ages.</p><p><strong>Results: </strong>Among 642,730 patients, 28.2% were Hispanic/Latino, 42.8% were male, and the median age was 48. The median MWI was 2.05 (IQR: 0.34, 4.87) and was higher for adults over the age of 40 and American Indians and Alaska Natives. The regression model revealed a higher MWI at younger ages for patients living in areas of higher deprivation. Additionally, patients with social risks had a higher MWI (3.16; IQR: 1.33, 6.65) than those without (2.13; IQR: 0.34, 4.89) and the interaction between age and social risk suggested a higher MWI at younger ages.</p><p><strong>Conclusions: </strong>Greater multimorbidity at younger ages and among those with social risks and living in areas of deprivation shows possible mechanisms for the premature aging and disability often seen in community-based health centers and highlights the need for comprehensive approaches to improving the health of vulnerable populations.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241236410"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10901061/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992060","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":"Childhood and adolescence physical activity and multimorbidity later in life: A systematic review.","authors":"Luc Souilla, Anders C Larsen, Carsten B Juhl, Søren T Skou, Alessio Bricca","doi":"10.1177/26335565241231403","DOIUrl":"10.1177/26335565241231403","url":null,"abstract":"<p><strong>Background: </strong>No systematic summary exists on childhood physical activity and later-life multimorbidity risks. We primarily investigated the association of physical activity in childhood and adolescence and the development of multimorbidity in adulthood. Secondarily, we examined whether physical activity level differ in children and adolescents with and without multimorbidity and whether there is a cross-sectional association between physical activity and multimorbidity.</p><p><strong>Methods: </strong>Following Cochrane Handbook guidelines and adhering to PRISMA recommendations, we included cross-sectional, case-control and longitudinal studies that investigated the association between physical activity in children and adolescents and development of multimorbidity. Results were summarized narratively and we assessed the certainty of the evidence using the GRADE approach. The protocol was registered in PROSPERO, CRD42023407063.</p><p><strong>Results: </strong>Of 9064 studies identified, 11 were included in 13 papers. Longitudinals studies suggested that being physically active in childhood and adolescence was associated with a lower risk of multimorbidity in adulthood. Three out of five studies reported lower physical activity level in children and adolescents with multimorbidity compared to those without, and two did not find a between-group difference. Cross-sectional evidence on the association between multimorbidity and lower physical activity was uncertain. Overall, the evidence certainty for all outcomes was considered low due to the indirectness and inconsistency in findings.</p><p><strong>Conclusions: </strong>Childhood and adolescence physical activity appeared to be linked with a reduced risk of later-life multimorbidity but the certainty of the evidence is low. These results support the promotion of physical activity during childhood and adolescence.</p>","PeriodicalId":73843,"journal":{"name":"Journal of multimorbidity and comorbidity","volume":"14 ","pages":"26335565241231403"},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10851728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139708758","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}