Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study

Lee, Tae Wha; Chung, Jane; Song, Keun Jeong; Kim, Eun-kyung

doi:10.1186/s12877-022-03250-w

Cited by 5 publications

(4 citation statements)

References 54 publications

(106 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Increasing age has a significant effect on multimorbidity development. This result corroborates with previous studies that showed an increment of multimorbidity cases in the aging population [50][51][52] . This finding is likely to be associated with physical and functional vulnerabilities in the aging population 52 .…”

Section: Discussionsupporting

confidence: 93%

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Griselda,

Alfian,

Wicaksono

et al. 2023

Sci Rep

View full text Add to dashboard Cite

The prevalence of multimorbidity tends to increase with age, but it is now also reported in the middle-aged population, which has a negative impact on healthcare systems and health outcomes. This study aims to analyze the patterns and factors associated with multimorbidity in Indonesia. This national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among middle-aged (40–59 years old) and elderly (≥ 60 years old) respondents. Information on all chronic diseases was assessed using a self-reported questionnaire. Sociodemographic and health-related behavioral factors were obtained from self-reported data. Binary logistic regression analysis was used to identify the factors associated with multimorbidity. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. The study recruited 11,867 respondents. The prevalence of multimorbidity was 18.6% (95% CI 17.9–19.3) with which 15.6% among middle age (95% CI 14.95–16.25) and 24.9% among the elderly (95% CI 24.12–25.68). Hypertension was the most commonly reported disease (23.2%) in all combinations of multimorbidity and among all age groups. Socio-demographic factors: elderly (AOR: 1.66; 95% CI 1.46–1.89), female (AOR: 1.42; 95% CI 1.20–1.69), living in the urban area (AOR: 1.22; 95% CI 1.09–1.38), higher educational level (AOR: 2.49; 95% CI 1.91–3.26), unemployed (AOR: 1.63; 95% CI 1.44–1.84), and higher economic level (AOR: 1.41; 95% CI 1.18–1.68) were associated with multimorbidity. Poor health behavior factors: being former smokers (AOR: 2.03; 95% CI 1.65–2.51) and obesity (AOR: 1.53; 95% CI 1.35–1.75) were also associated with multimorbidity. The prevalence of multimorbidity in the middle-aged and elderly population in Indonesia is relatively high, particularly in populations with poor health behaviors. Therefore, healthcare professionals should integrate more patient-specific factors when designing and implementing tailored interventions to manage multimorbidity in Indonesia.

show abstract

Section: Discussionsupporting

confidence: 93%

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Griselda,

Alfian,

Wicaksono

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The study mentioned in the initial query found that literacy level, marital status, occupation, and family history were associated with multimorbidity. [ 23 24 ]…”

Section: Discussionmentioning

confidence: 99%

Prevalence and predictors of multimorbidity in older adults, a community-based cross-sectional study

Damor,

Makwana,

Kagathara

et al. 2024

Journal of Family Medicine and Primary Care

View full text Add to dashboard Cite

Background: Multimorbidity is a condition that refers to the coexistence of two or more chronic diseases or long-term medical conditions in an individual. It has become one of the key issues in the public health sector, particularly among older adults. So, this study aimed to estimate the prevalence of multimorbidity and its associated factors among older adults. Methodology: The present study was a community-based cross-sectional study carried out on the elderly population (≥60 years) in a rural area of the study district, Gujarat. The estimated sample size was 384, and the final sample size was taken as 420, considering the multistage sampling procedure for fair distribution. The eligibility criteria included elderly people ≥60 years old, who were permanent residents (living for ≥6 months) of the study district and willing to participate in the study. Elderly people who were not willing to participate in the study for their reasons were excluded. A multistage sampling procedure was used to choose the study participants. The data collection tools included a pretested, predesigned, semi-structured questionnaire. The questionnaire consisted of two parts: sociodemographic details and morbidity details. Categorical variables were described by frequency and percentage, and numerical variables were described by mean ± SD. Logistic regression analyses were applied to test the relationship of categorized independent and dependent variables, and all tests were two-tailed with statistical significance set at the probability value (P < 0.05). Results: Out of the 420 study participants, 52.1% were male and 47.9% were female, with a mean age of 70.70 years (SD ± 8.18 years). The prevalence of multimorbidity was 50%, with males having a mean number of morbidities of 1.38 ± 1.06 and females having a mean number of morbidities of 1.44 ± 0.99. As the age increased, the strength of association of multimorbidity also increased. Literacy level, marital status, occupation (business, farmer, housewife), and family history were statistically associated with multimorbidity in the study participants in both bivariate and multivariate analyses (P < 0.05). Conclusion: The study provides valuable insights into the health status of the elderly population in the rural area and can be used to inform healthcare policies and interventions aimed at improving the health outcomes of this population.

show abstract

“…Furthermore, the older patient population has a higher prevalence of multimorbidity, characterized by the coexistence of multiple underlying health conditions [ 17 , 18 ]. The prevalence of one or more comorbidities was approximately 81% among older patients, with hypertension, diabetes, and cardiovascular disease being most common [ 14 ].…”

Section: Clinical Features and Common Comorbiditiesmentioning

confidence: 99%

Clinical Manifestations and Outcomes of Older Patients with COVID-19: A Comprehensive Review

Lee,

Kang,

Kim

et al. 2024

Tuberc Respir Dis

View full text Add to dashboard Cite

The consequences of coronavirus disease 2019 (COVID-19) are particularly severe in older adults with a disproportionate number of severe and fatal outcomes. Therefore, this integrative review aimed to provide a comprehensive overview of the clinical characteristics, management approaches, and prognosis of older patients diagnosed with COVID-19. Common clinical presentations in older patients include fever, cough, and dyspnea. Additionally, preexisting comorbidities, especially diabetes and pulmonary and cardiovascular diseases, were frequently observed and associated with adverse outcomes. Management strategies varied, however, early diagnosis, vigilant monitoring, and multidisciplinary care were identified as key factors for enhancing patient outcomes. Nonetheless, the prognosis remains guarded for older patients, with increased rates of hospitalization, mechanical ventilation, and mortality. However, timely therapeutic interventions, especially antiviral and supportive treatments, have demonstrated some efficacy in mitigating the severe consequences in this age group. In conclusion, while older adults remain highly susceptible to severe outcomes from COVID-19, early intervention, rigorous monitoring, and comprehensive care can play a pivotal role in improving their clinical outcomes.

show abstract

Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study

Cited by 5 publications

References 54 publications

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Prevalence and predictors of multimorbidity in older adults, a community-based cross-sectional study

Clinical Manifestations and Outcomes of Older Patients with COVID-19: A Comprehensive Review

Contact Info

Product

Resources

About