Author and year of study |
Type of study |
Aim and location of study |
Sample and prevalence of multimorbidity |
Factors associated with multimorbidity |
Score and limitations |
Mini et al. 20173535 Mini GK, Thankappan KR. Pattern, correlates and implications of non-communicable disease mul-timorbidity among older adults in selected Indian states: a cross-sectional study. BMJ Open. 2017;7(3):1-6.
|
Cross-sectional |
The present study aimed to calculate the proportion of elderly people with multimorbidity, their associated factors and implications. The present study included elderly people from seven states of India (Kerala, Tamil Nadu, Punjab, Himachal Pradesh, Maharashtra, Orissa and West Bengal). |
The prevalence of multimorbidity was 30.7% (3024 elderly), among a sample of 9852 elderly . |
Richer (PR=4.68) and older (70 years or older) (PR=2.44) elderly persons, women (PR=1.51), and alcohol (PR=1.53) and tobacco (PR=1.22) users were more likely to suffer from multimorbidity. |
8 points |
Ha et al. 20153636 Ha NT, Le NH, Khanal V, Moorin R. Multimorbidity and its social determinants among older people in southern provinces, Vietnam. Int J Equity Health. 2015;14:1-7.
|
Cross-sectional |
The study aimed to examine the prevalence of multimorbidity and associated factors among elderly people in Southern Vietnam. |
39.2% of the elderly persons (941 individuals) exhibited multimorbidity. The sample was 2400 elderly persons. |
The prevalence of multimorbidity is more statistically significant in illiterate individuals (p= 0.001), those who did not work (p=0.001), those who live in rural areas (p<0.001), and those who used health services in the week before the interview (p=0,001). |
8 points |
Banjare et al. 20143737 Banjare P, Pradhan J. Socio-economic inequalities in the prevalence of multi-morbidity among the rural elderly in Bargarh District of Odisha (India). PLos ONE. 2014;9(6):1-10.
|
Cross-sectional |
To investigate the prevalence of multimorbidity in rural elderly people and associated socioeconomic and demographic factors. The survey was conducted in the Bargarh district of Odisha, India. |
A total of 310 elderly persons were evaluated, of which 177 had multimorbidity (prevalence of 57.0%). |
Logistic regression analyzes revealed that older elderly persons (75 years of age or older) (PR=4.65), those who are financially dependent (PR=5.21), and those who smoke (PR=1.85) had a greater chance of acquiring multimorbidity. |
8 points |
Jerliu et al. 20133838 Jerliu N, Toçi E, Burazeri G, Ramadani N, Brand H. Prevalence and socioeconomic correlates of chronic morbidity among elderly people in Kosovo: a population-based survey. BMC Geriatr. 2013:1-9.
|
Cross-sectional |
To identify the prevalence of chronic morbidity and to seek associations with demographic and socioeconomic factors in an elderly population in Kosovo. |
In the present study, 45.0% (851 individuals) of the elderly population had multimorbidity. The sample consisted of 1890 elderly people . |
Factors associated with multimorbidity were the female gender (p=0.001), advanced age (p<0.001), self-perceived poverty (p<0.001), and inability to access medical care (p<0.001). |
8 points |
Agborsangaya et al. 20123939 Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and pat-terns across socioeconomic determinants: a cross-sectional survey. BMC Public Health. 2012;12:1-8.
|
Cross-sectional |
This study aimed to estimate the prevalence of multimorbidity and associated factors in different age groups in the province of Alberta, Canada. |
The sample corresponding to the elderly was 776 individuals, of which 35.8% (278 elderly) exhibited multimorbidity . |
For the elderly, multimorbidity was associated with the female gender (PR=1.55) and those who did not live with children (PR=8.45). |
7 points. The elderly persons who participated in the study represented less than 30.0% of the total sample. |
Marengoni et al. 20084040 Marengoni A, Winblad B, Karp A, Fratiglioni L. Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden. Am J Public Health. 2008;98:1198-200.
|
Cross-sectional |
The aim was to investigate the role of age, gender and socioeconomic status in the occurrence of multimorbidity in elderly persons aged between 77 and 100. |
In this study, 55.0% (602 individuals) of the elderly population had multimorbidity. The sample was composed of 1099 elderly persons. |
Older elderly persons (aged 85 or older) (PR=1.9), women (PR=1.5) and those with lower levels of schooling (PR=1.6) had a greater chance of exhibiting multimorbidity. |
7 points. The sampling process was not described. |
Cavalcanti et al. 20174141 Cavalcanti G, Doring M, Portella MR, Bortoluzzi EC, Mascarelo A, Delani MP. Multimorbidity asso-ciated with polypharmacy and negative self-perception of health. Rev Bras Geriatr Gerontol. 2017;20(5):634-42.
|
Cross-sectional |
To verify the association between multimorbidity and sociodemographic variables, self-perception of health and polypharmacy in the elderly. The study was carried out in small municipalities in the north of the state of Rio Grande do Sul, Brazil. |
Of the elderly interviewed (676 individuals), 45.0% (304 elderly) exhibited multimorbidity. |
After adjusted analysis, the occurrence of multimorbidity was associated with the following variables: negative health perception (p<0.001) and use of polypharmacy (p<0.001). |
8 points |