Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China

Jin, Lina; Guo, Xin; Dou, Jing; Liu, Binghui; Wang, Jiangzhou; Li, Jiagen; Sun, Mengzi; Sun, Chong; Yu, Yaqin; Yao, Yan

doi:10.1038/s41598-018-25561-y

Cited by 22 publications

(22 citation statements)

References 39 publications

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“…Our results are similar to the ones obtained for older adults from Northeast China, where the pair combination of hypertension and cardiovascular diseases was the second most prevalent among older adults [26]. In women, the most prevalent individual diseases were (from highest to lowest) hypertension, musculoskeletal disorders, and diabetes.…”

Section: Discussionsupporting

confidence: 89%

Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults

Lay

Nascimento

Burgos

et al. 2020

Current Gerontology and Geriatrics Research

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Objectives. This study seeks to determine the prevalence of chronic diseases and analyze the association between multimorbidity and all-cause mortality by sex. Methods. This is a 16-year longitudinal study of follow-up. We used sample data of the SABE (Health, Well-Being and Aging) study cohort and mortality data obtained through the Mortality Information Improvement Program of the City of São Paulo (PRO-AIM) from the 2000–2016 period. Survival analysis was performed using Cox proportional hazard models. Results. Hypertension (HT) was the most prevalent disease in older adults (52.93%), followed by musculoskeletal disorders (MSDs) (27.09%), cardiovascular diseases (CD) (17.79%), diabetes mellitus (DM) (16.95%), mental disorders (MD) (15.43%), and respiratory diseases (RD) (9.72%). The highest mortality rate in women was observed in the combination of HT/MSDs/DM/MD (HR = 6.15, 95% CI = 2.32, 16.32), while in men was in the combination of HT/CD/MSDs/DM (HR = 5.72, 95% CI = 1.72, 19.06). Conclusion. Similar to previous studies carried out in developed countries, we found that all-cause mortality increased as diseases are added to an individual. Women and men presented different mortality patterns according to multimorbidity. Therefore, we suggest that additional longitudinal studies should be performed in order to analyze mortality by sex.

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Section: Discussionsupporting

confidence: 89%

Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults

Lay

Nascimento

Burgos

et al. 2020

Current Gerontology and Geriatrics Research

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“…[38] Studies have also suggested a slightly higher morbidity in older females compared with males in some populations, [62,63] with a study from China suggesting that older females have more comorbidities than males. [64] Since morbidity is a determinant of increased SIV uptake, as reported in this review (as well as other studies), the observed variation in the association of sex with SIV uptake in Asia compared with Europe could be a result of more morbidity among older females compared with males in the studies from Asia.…”

Section: Plos Onesupporting

confidence: 58%

Seasonal influenza vaccination in older people: A systematic review and meta-analysis of the determining factors

et al. 2020

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Background/Objectives Despite influenza vaccination programs in various jurisdictions, seasonal influenza vaccine (SIV) uptake remains suboptimal among older people (�65years old), an important subpopulation for influenza vaccination. We sought to summarize determinants of SIV uptake (any vaccine receipt) and vaccination adherence (receipt of vaccine in two or more seasons in sequence) among older people. Methods We searched for population-based studies conducted in community-dwelling older people (irrespective of their health status) from 2000-2019. Two reviewers independently selected publications for inclusion. One reviewer extracted data from the included studies; a second checked the extracted data for errors. Disagreements were resolved by discussion and consensus, or a third reviewer. We were interested in the determinants of SIV uptake and vaccination adherence. Where appropriate, we pooled adjusted results using the inverse variance, random-effects method and reported the odds ratios (OR) and their 95% confidence intervals (CI).

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“…The average degree was defined as the average of the degrees of all nodes. The larger the network density (or average degree), the denser the network [20,21]. All statistical analyses were performed with R version 3.6.1 (University of Auckland, Oakland, New Zealand).…”

Section: Statistical Analysesmentioning

confidence: 99%

Multimorbidity Analysis of 13 Systemic Diseases in Northeast China

Song

et al. 2020

IJERPH

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Background: Multimorbidity not only affects the quality of patients’ lives, but can also bring a heavy economic burden to individuals, families and society. The purpose of this study was to reveal the connections between diseases, especially the important role each disease played in the entire multimorbidity network. Methods: A total of 1,155,734 inpatients were enrolled through multistage stratified random sampling in Jilin Province in 2017. Categorical variables were compared using the Rao–Scott-χ2 test. Weighted networks were adopted to present the complex relationships of multimorbidity. Results: The distributions of the number of diseases differed significantly by gender, age and health insurance scheme (P < 0.001). Diseases of the respiratory system had the highest weight in multimorbidity in young people. Endocrine, nutritional and metabolic diseases and circulatory system diseases were often associated with other systemic diseases in middle aged and old people. Conclusions: Multimorbidity with respiratory system diseases in young people should not be overlooked. Additionally, effective prevention efforts that target endocrine, nutritional and metabolic diseases and circulatory system diseases are needed in middle aged and old people.

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Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China

Cited by 22 publications

References 39 publications

Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults

Gender Differences between Multimorbidity and All-Cause Mortality among Older Adults

Seasonal influenza vaccination in older people: A systematic review and meta-analysis of the determining factors

Multimorbidity Analysis of 13 Systemic Diseases in Northeast China

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