Rising challenge of multiple morbidities among the rural poor in India&amp;#151;a case of the Sundarbans in West Bengal

Vadrevu, Lalitha; Kumar, Vinod; Kanjilal, Barun

doi:10.5455/ijmsph.2016.25082015129

Cited by 15 publications

(26 citation statements)

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“…while only 22.73% were suffering from generalized weakness but almost similar pattern (51.04%) of gastrointestinal problems was shown by Ghosh A. 9 Less gastrointestinal problems (2%, 11.5% and 29.3%respectively) were shown by Kamble SV, Srinivas PJ, Hameed S. 7,13,5 Persons suffering from anaemia (42%) found in present study was similar (40%) to Srinivas PJ, but higher (8.32%, 32.8% and 33.3% respectively) than Mundada V, Kumar R, Hameed S. 5,11,12,14 Prevalence of anemia (43%) and malnutrition (38.5%) and respiratory problems (16%) were more common in rural area of Allahabad as shown by Verma V. 8 Present study showed 45% musculoskeletal problems (low back pain, joint pain, Osteoarthritis) almost similar (49.65 %) to Ghosh A but higher (22.5%, 25.5% and 38.8% respectively) than Kumar R, Kamble SV, Srinivas PJ. 7,9,11,13 Hameed S found more (56%) musculoskeletal problems than present study.…”

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confidence: 50%

“…11 Present study showed that increasing age group and use of non-smoke tobacco was significantly (p<0.05) associated with number of morbidities per person (≥3) which matched the Vadrevu L showed that multimorbidity increased with age and BMI in both the genders and increase in education, employment and sufficient vegetable intake were significant predictors among the rural male population. 14 Regarding morbidity profile, we observed that generalized weakness was the commonest (62.7%) morbidity followed by overall gastrointestinal problems (56%) found in geriatric population. while only 22.73% were suffering from generalized weakness but almost similar pattern (51.04%) of gastrointestinal problems was shown by Ghosh A.…”

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confidence: 91%

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A cross-sectional study on morbidity pattern of elderly population residing in a rural area of Tripura

et al. 2017

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Background: The elderly is one of the most vulnerable and high-risk groups in terms of health and their health seeking behaviour is crucial in any society. A major component of the burden of illness for the elderly derives from prevalent chronic disease. The objective of study aims to find out morbidity pattern of elderly population aged 60 years and above.Methods: A community based cross-sectional study was done in rural areas of Madhupur, Sepahijala district, Tripura from August 2015-January 2016. A total of 260 (elderly aged 60 years and above) study participants were selected by simple random sampling.Results: Majority (52.7%) were between 60-70 years of age, least (1.5%) was in 90-100 years age group. Most of the study population (84.6%) were Hindu and female were more than male (51.9 % vs 48.1%). Majority (38.8%) of them were suffering from two (2) morbidities and 8.1% of study population had 4 and more morbidities. Non-specific generalized weakness was the most common (62.7%) morbidity, followed by gastrointestinal problems (56%) found in geriatric population. Musculoskeletal problems (low back pain, joint pain, osteoarthritis) were 45% followed by anaemia (42%) and impaired vision (36%). Increasing age group and non-smoke tobacco habit among the elderly population was associated with number of morbidities (≥ 3 morbidities/ person) per person (p <0.05).Conclusions: The study showed high prevalence of morbidities among elderly population. Non-specific generalized weakness was one of the most important problems in this age group. We have to find out the underlying cause of this non-specific generalized weakness by further clinical examination and laboratory investigations in future research.

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confidence: 91%

A cross-sectional study on morbidity pattern of elderly population residing in a rural area of Tripura

et al. 2017

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“…According by a few other studies, in comparison to lower SES, the middle and higher socio-economic group have 2-2.1 times and 3.9-4.6 times higher chance to develop multimorbidity, respectively (7,8). In another study it was found that those with a deficit of wealth were 1.3-1.6 times more likely to develop multimorbidity (21). However, our study is based in rural population with a large proportion of the study participants are from the lower economic strata, which might affect the association.…”

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confidence: 74%

“…A study by Pati et al among adults attending primary care in the same region has shown that the number of chronic diseases to increase with increasing age (10). Similarly, other studies have shown a very steep rise in the prevalence of multimorbidity in the older adults when compared to young adults (21,22). The relationship of multimorbidity with age among the older adults, particularly in rural settings does not seem similar to that in younger adults and needs further.…”

Section: Discussionmentioning

confidence: 94%

“…A wide variation in the prevalence of multimorbidity has been observed depending on the study area and population. While a prevalence of 90.5% has been reported among Chinese adults, it was 44.05% among rural poor of Sundarban, West Bengal and 30.7% among older adults from some selected Indian states (7,20,21). A study conducted by Verma and Mishra among North Indian older adults in 2019, reported that 33% had single chronic disease, 31.8% had dyads, 15.5% had triads, and 5.8% had four and more chronic diseases (9).…”

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confidence: 99%

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Prevalence and Patterns of Multimorbidity Among Rural Elderly: Findings of the AHSETS Study

Kshatri

Palo

Bhoi

et al. 2020

Front. Public Health

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Introduction: In India, the proportion of older population is projected to increase from 8% in 2015 to 19% in 2050 and a third of the country's population will be older adults by end of the century. Multimorbidity is common among the elderly and the prevalence increases with age. Chronic conditions are most often present as clusters and it's critical to explore the prevalent pattern of clustering for better public health strategies. Method: A cross-sectional study was conducted among 725 rural older adults (>60 years) in Tigiria block of Odisha, India. Multimorbidity status was assessed using the prior validated MAQ-PC tool. Survey was conducted using android tablets installed with open data kit software. While Euclidean distances using K-means clustering algorithm were used to estimate the similarity or dissimilarity of observations. The optimum numbers of clusters were determined using silhouette method. Data were analyzed using multiple open source packages of R statistical programming software ver-3.6.3. Result: The overall prevalence of multimorbidity was 48.8% of which dyads (25%) were the most common form, followed by triads (15.2%). The prevalence of multimorbidity was higher in females (50.4%) than males (47.4%). The optimal number of clusters was found to be 3. While arthritis alone was a separate cluster, hypertension and acid peptic disease were in another cluster and all the rest conditions were included in the third cluster. Conclusion: The cluster analysis to measure of proximity suggested arthritis, hypertension, and acid peptic disease are the diseases that occur mostly in isolation with the other chronic conditions in the rural elderly.

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Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis

Chowdhury¹,

Das²,

Sunna³

et al. 2023

eClinicalMedicine

163

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Rising challenge of multiple morbidities among the rural poor in Indiaa case of the Sundarbans in West Bengal

Cited by 15 publications

References 0 publications

A cross-sectional study on morbidity pattern of elderly population residing in a rural area of Tripura

A cross-sectional study on morbidity pattern of elderly population residing in a rural area of Tripura

Prevalence and Patterns of Multimorbidity Among Rural Elderly: Findings of the AHSETS Study

Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis

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