Prevalence of multimorbidity in subjects aged &amp;ge;60 years in a developing country

Islas-Granillo, Horacio; Medina-Solís, Carlo Eduardo; Márquez-Corona, María de Lourdes; Rosa-Santillana, Rubén de la; Fernández-Barrera, Miguel Ángel; Villalobos-Rodelo, Juan José; Hernández-Martínez, César Tadeo; Navarrete-Hernández, José de Jesús; Mendoza-Rodríguez, Martha

doi:10.2147/cia.s154418

Cited by 23 publications

(25 citation statements)

References 17 publications

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“… 27 Most of the studies (n = 46, 60.5%) had a primary purpose of reporting the prevalence and patterns of multimorbidity. Of the total 76 studies, 52 (68.4%) were conducted in only six middle-income countries: Brazil, 27 – 42 China, 43 – 54 South Africa, 25 , 26 , 55 – 64 India, 65 – 72 Mexico 73 , 74 and Iran. 75 , 76 Studies based on multicountry data (n = 11) were based on data obtained from the World Health Organization’s (WHO’s) Study on Global Ageing and Adult Health (SAGE) and World Health Surveys.…”

Section: Resultsmentioning

confidence: 99%

“…Prevalence of multimorbidity seemed to have a pattern of increasing prevalence with increasing age. It ranged from 3.2% (93) to 67.8% 37 among adults aged 18 or older, 19.4% 76 to 80% 59 among people aged 40 and older, and 27.3% 74 to 90.5% in participants aged 60 and older. 52 The prevalence in the general population was also found to be higher in females (25%–52.2%) (54, 75) than males (13.4%–38.6%).…”

Section: Prevalence Of Multimorbiditymentioning

confidence: 99%

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Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

et al. 2020

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Background: Multimorbidity is rising in low- and middle-income countries (LMICs). However, the evidence on its epidemiology from LMICs settings is limited and the available literature has not been synthesized as yet. Objectives: To review the available evidence on the epidemiology of multimorbidity in LMICs. Methods: PubMed, Scopus, PsycINFO and Grey literature databases were searched. We followed the PRISMA-ScR reporting guideline. Results: Of 33, 110 articles retrieved, 76 studies were eligible for the epidemiology of multimorbidity. Of these 76 studies, 66 (86.8%) were individual country studies. Fifty-two (78.8%) of which were confined to only six middle-income countries: Brazil, China, South Africa, India, Mexico and Iran. The majority (n = 68, 89.5%) of the studies were crosssectional in nature. The sample size varied from 103 to 242, 952. The largest proportion (n = 33, 43.4%) of the studies enrolled adults. Marked variations existed in defining and measuring multimorbidity. The prevalence of multimorbidity in LMICs ranged from 3.2% to 90.5%. Conclusion and Recommendations: Studies on the epidemiology of multimorbidity in LMICs are limited and the available ones are concentrated in few countries. Despite variations in measurement and definition, studies consistently reported high prevalence of multimorbidity. Further research is urgently required to better understand the epidemiology of multimorbidity and define the best possible interventions to improve outcomes of patients with multimorbidity in LMICs.

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Section: Resultsmentioning

confidence: 99%

Section: Prevalence Of Multimorbiditymentioning

confidence: 99%

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

et al. 2020

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“…The prevalence of multimorbidity was higher than that of our research, probably because the survey data were of national origin. In addition, a study in a developing country also showed that the prevalence rate of multimorbidity in women is higher than that in men for people over 60 years old [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

Zhou

et al. 2020

IJERPH

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(1) Background: Multimorbidity, defined as the occurrence of two or more chronic diseases, is a global public health problem which has a significant negative impact on individuals, families and the society. The aim of this study was to evaluate the association between overweight, obesity and the prevalence of multimorbidity among male and female older adults; (2) Methods: Cross-sectional data of the 7070 participants from China, aged 60 years and above included in 2017 the Shandong Elderly Family Health Service Survey were analyzed. Multivariate logistic regression analysis was used to examine the relationship between overweight, obesity and the prevalence of multimorbidity in males and females; (3) Results: Among the 7070 participants, of which 40.25% were males and 59.75% were females, the average age of all participants was (69.81 ± 6.45) years old. The prevalence of multimorbidity in older adults was 34.71%, and the overweight and obesity rates were 39.25% and 16.89%. Among the male elderly, the likelihood of multimorbidity was more than two times higher among the obese than the normal BMI population (OR: 2.14; 95%CI: 1.63–2.82). A less strong association was found in the overweight male older population (OR: 1.43; 95%CI: 1.18–1.74). In the females, compared with individuals with normal BMI, the risks for incident multimorbidity were high in the overweight and obese groups, with odds ratios of 1.42 (95%CI: 1.21–1.65) and 1.81 (95%CI: 1.51–2.17), respectively. (4) Conclusions: In this study, overweight and obesity had the strongest association with the prevalence of multimorbidity among Chinese older adults, and the associations were different between the male and female elderly. The prevalence of multimorbidity might be effectively prevented by controlling body mass index. Encouraging the elderly to eat the recommended amount of vegetables and fruits, walk at least 30 min a day and have enough sleep to maintain a healthy weight.

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“…We measured several oral health indicators. This secondary analysis is part of a larger study, some of whose results have been previously published 15–20. Inclusion criteria were as follows: 1) aged at least 60 years and 2) willingness to participate in the research (permission granted from either the participant or their relatives).…”

Section: Methodsmentioning

confidence: 99%

<p>Indicators of oral health in older adults with and without the presence of multimorbidity: a cross-sectional study</p>

Islas-Granillo

Borges‐Yáñez

Navarrete-Hernández

et al. 2019

CIA

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PurposeThe aim of this study was to determine whether there are differences in the distribution of various indicators of oral health among elderly people with and without multimorbidity (ie, two or more chronic diseases).Subjects and methodsA cross-sectional, comparative study was conducted using a sample of Mexican elderly individuals aged ≥60 years. The average age of the cohort was 79.06±9.78 years, and 69.1% were women. The variables indicating oral health were as follows: functional dentition, edentulism, hyposalivation, xerostomia, root caries and periodontitis. The multimorbidity variable was operationally categorized as follows: 0= subjects with no chronic disease or one chronic disease and 1= subjects with two or more chronic diseases. Questionnaires were used to collect information on various variables regarding general health. Likewise, the participants underwent a clinical oral examination. The analysis was performed using Stata 11.0.ResultsThe overall prevalence of multimorbidity was 27.3%. The prevalences of various oral health indicators were as follows: without functional dentition 89.9%; hyposalivation 59.7%; edentulism 38.9% and self-reported xerostomia 25.2%. Dental caries were observed in 95.3% of the subjects, and the prevalence of severe periodontitis was 80%. We found a significant difference only in edentulism; its prevalence was higher among subjects with multimorbidity (55.3% vs 32.7%, P=0.015) than among those without multimorbidity.ConclusionThe presence of edentulism in this sample of Mexican older adults was higher in subjects with multimorbidity. Multimorbidity and oral diseases constitute a true challenge in elderly people, because they affect quality of life and are associated with high health care costs.

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Prevalence of multimorbidity in subjects aged ≥60 years in a developing country

Cited by 23 publications

References 17 publications

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

<p>Indicators of oral health in older adults with and without the presence of multimorbidity: a cross-sectional study</p>

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