Patterns of Multimorbidity Among Elderly in an Urban Area of North India

Gupta, Akriti; Girdhar, Sangeeta; Chaudhary, Anurag; Chawla, Jasneet; Kaushal, Pushapindra

doi:10.14260/jemds/2016/218

Cited by 15 publications

(35 citation statements)

References 17 publications

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“…The number of males in our study were slightly lower than their study, but there were more females, than in their study. However the number of females outnumbered the males in their study, this is consistent in other studies also [2,3,4,5,6,7] Distribution of diseases among the elderly people…”

Section: Sex Distributionsupporting

confidence: 91%

“…It was 30.7% and 34.75% respectively. But, in other studies done by Praveen Kumar N, [²] Minie E.Jacob etal, [³] Ashok Kumar T, [⁴] Akriti Gupta, [7] the total percentage of hypertensive were more than found in our study.…”

Section: Hypertensioncontrasting

confidence: 80%

“…The total percentage of elderly suffering from acid peptic disease was greater in our study when compared to these studies. [2,4,7] In a study done by Singh J P, [6] the total percentage of elderly people suffering from acid peptic disease was lower than our study.…”

Section: Acid Peptic Diseasecontrasting

confidence: 60%

“…The number of both males and females suffering from diabetes in our study was lower than in other studies. [1,4,6,7] In a study done by Praveen Kumar N, [²] the number of males and females suffering from diabetes mellitus were lesser than in our study.…”

Section: Diabetescontrasting

confidence: 53%

“…In studies done by Thakur R.P, [5] Singh J.P, [6] and Akriti Gupta, [7] the number of females having hypertension was more than the males. This was similar to our study.…”

Section: Hypertensionmentioning

confidence: 99%

See 4 more Smart Citations

A Cross-Sectional Study on the Prevalence of Diseases among the Geriatric Population in the Rural Field Practice Areas of a Tertiary Care Hospital in Mangaluru, India

Venkateshkrishna¹,

Suresh²

2018

JPPCM

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Section: Sex Distributionsupporting

confidence: 91%

Section: Hypertensioncontrasting

confidence: 80%

Section: Acid Peptic Diseasecontrasting

confidence: 60%

Section: Diabetescontrasting

confidence: 53%

“…In studies done by Thakur R.P, [5] Singh J.P, [6] and Akriti Gupta, [7] the number of females having hypertension was more than the males. This was similar to our study.…”

Section: Hypertensionmentioning

confidence: 99%

See 3 more Smart Citations

A Cross-Sectional Study on the Prevalence of Diseases among the Geriatric Population in the Rural Field Practice Areas of a Tertiary Care Hospital in Mangaluru, India

Venkateshkrishna¹,

Suresh²

2018

JPPCM

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Risk factors of multimorbidity among older adults in India: A systematic review and meta‐analysis

Goel,

Biswas,

Chattopadhyay

2024

Health Science Reports

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BackgroundMultimorbidity among older adults is a growing concern in India. Multimorbidity is defined as the coexistence of two or more chronic health conditions in an individual. Primary studies have been conducted on risk factors of multimorbidity in India, but no systematic review has been conducted on this topic. This systematic review aimed to synthesize the existing evidence on risk factors of multimorbidity among older adults in India.MethodsThe JBI and Preferred Reporting Items for Systematic Reviews and Meta‐Analysis guidelines were followed. Several databases were searched for published and unpublished studies until August 03, 2022. The screening of titles and abstracts and full texts, data extraction, and quality assessment were conducted by two independent reviewers. Any disagreements were resolved through discussion or by involving a third reviewer. Data synthesis was conducted using narrative synthesis and random effects meta‐analysis, where appropriate.ResultsOut of 8781 records identified from the literature search, 16 and 15 studies were included in the systematic review and meta‐analysis, respectively. All included studies were cross‐sectional, and 10 met a critical appraisal score of more than 70%. Broadly, sociodemographic, lifestyle, and health conditions‐related factors were explored in these studies. The pooled odds of multimorbidity were higher in people aged ≥70 years compared to 60‐69 years (odds ratio (OR) 1.51; 95% confidence interval (CI) 1.20–1.91), females compared to males (1.38; 1.09–1.75), single, divorced, separated, and widowed compared to married (1.29; 1.11–1.49), economically dependent compared to economically independent (1.54; 1.21–1.97), and smokers compared to non‐smokers (1.33; 1.16–1.52) and were lower in working compared to not working (0.51; 0.36–0.72).ConclusionThis systematic review and meta‐analysis provided a comprehensive picture of the problem by synthesizing the existing evidence on risk factors of multimorbidity among older adults in India. These synthesized sociodemographic and lifestyle factors should be taken into consideration when developing health interventions for addressing multimorbidity among older adults in India.

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Community prevalence and dyad disease pattern of multimorbidity in China and India: a systematic review

et al. 2022

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Background Driven by the increasing life expectancy, China and India, the two most populous countries in the world are experiencing a rising burden of multimorbidity. This study aims to explore community prevalence and dyad patterns of multimorbidity in China and India. Methods We conducted a systematic review of five English and Chinese electronic databases. Studies involving adults 18 years or older at a community level, which reported multimorbidity prevalence and/or patterns were included. A modified Newcastle-Ottawa Scale was used for quality assessment. Despite large heterogeneity among reported studies, a systematic synthesis of the results was conducted to report the findings. Results From 13 996 studies retrieved, 59 studies met the inclusion criteria (46 in China, 9 in India and 4 in both). The median prevalence of multimorbidity was 30.7% (IQR 17.1, 49.4), ranging from 1.5% to 90.5%. There was a large difference in multimorbidity prevalence between China and India, with median prevalence being 36.1% (IQR 19.6, 48.8) and 28.3% (IQR 8.9, 56.8), respectively. Among 27 studies that reported age-specific prevalence, 19 studies found multimorbidity prevalence increased with age, while 8 studies observed a paradoxical reduction in the oldest age group. Of the 34 studies that reported sex-specific prevalence, 86% (n=32) observed a higher prevalence in females. The most common multimorbidity patterns from 14 studies included hypertensive diseases combined with diabetes mellitus, arthropathies, heart diseases and metabolic disorders. All included studies were rated as fair or poor quality. Conclusion Multimorbidity is highly prevalent in China and India with hypertensive diseases and other comorbidities being the most observed patterns. The overall quality of the studies was low and there was a lack of representative samples in most studies. Large epidemiology studies, using a common definition of multimorbidity and national representative samples, with sex disaggregation are needed in both countries. PROSPERO registration number CRD42020176774.

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Patterns of Multimorbidity Among Elderly in an Urban Area of North India

Cited by 15 publications

References 17 publications

A Cross-Sectional Study on the Prevalence of Diseases among the Geriatric Population in the Rural Field Practice Areas of a Tertiary Care Hospital in Mangaluru, India

A Cross-Sectional Study on the Prevalence of Diseases among the Geriatric Population in the Rural Field Practice Areas of a Tertiary Care Hospital in Mangaluru, India

Risk factors of multimorbidity among older adults in India: A systematic review and meta‐analysis

Community prevalence and dyad disease pattern of multimorbidity in China and India: a systematic review

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