Lifestyle health risk factors and multiple non-communicable diseases among the adult population in India: a cross-sectional study

Agrawal, Gopal; Patel, Sangram Kishor; Agarwal, Ashok

doi:10.1007/s10389-016-0727-6

Cited by 15 publications

(12 citation statements)

References 27 publications

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“… 27 Most of the studies (n = 46, 60.5%) had a primary purpose of reporting the prevalence and patterns of multimorbidity. Of the total 76 studies, 52 (68.4%) were conducted in only six middle-income countries: Brazil, 27 – 42 China, 43 – 54 South Africa, 25 , 26 , 55 – 64 India, 65 – 72 Mexico 73 , 74 and Iran. 75 , 76 Studies based on multicountry data (n = 11) were based on data obtained from the World Health Organization’s (WHO’s) Study on Global Ageing and Adult Health (SAGE) and World Health Surveys.…”

Section: Resultsmentioning

confidence: 99%

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

et al. 2020

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Background: Multimorbidity is rising in low- and middle-income countries (LMICs). However, the evidence on its epidemiology from LMICs settings is limited and the available literature has not been synthesized as yet. Objectives: To review the available evidence on the epidemiology of multimorbidity in LMICs. Methods: PubMed, Scopus, PsycINFO and Grey literature databases were searched. We followed the PRISMA-ScR reporting guideline. Results: Of 33, 110 articles retrieved, 76 studies were eligible for the epidemiology of multimorbidity. Of these 76 studies, 66 (86.8%) were individual country studies. Fifty-two (78.8%) of which were confined to only six middle-income countries: Brazil, China, South Africa, India, Mexico and Iran. The majority (n = 68, 89.5%) of the studies were crosssectional in nature. The sample size varied from 103 to 242, 952. The largest proportion (n = 33, 43.4%) of the studies enrolled adults. Marked variations existed in defining and measuring multimorbidity. The prevalence of multimorbidity in LMICs ranged from 3.2% to 90.5%. Conclusion and Recommendations: Studies on the epidemiology of multimorbidity in LMICs are limited and the available ones are concentrated in few countries. Despite variations in measurement and definition, studies consistently reported high prevalence of multimorbidity. Further research is urgently required to better understand the epidemiology of multimorbidity and define the best possible interventions to improve outcomes of patients with multimorbidity in LMICs.

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Section: Resultsmentioning

confidence: 99%

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

et al. 2020

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“…Linkages between lifestyle behaviours and socio-demographic characteristics had been studied previously mostly by analysing individual’s lifestyle health risk behaviours [ 22 – 26 ]. The only study for India which estimated the association between aggregation of health risk factors was based only on six selected states (Assam, Karnataka, Maharashtra, Rajasthan, Uttar Pradesh and West Bengal) in the country and the results were generalized for India as a whole [ 27 ]. As India constitutes of 29 states and 7 union territories, co-occurrence of multiple lifestyle risk factors may predispose the population to a higher burden of NCDs which are more detrimental to health compared to single lifestyle risk factors.…”

Section: Introductionmentioning

confidence: 99%

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

Shaikh¹,

Khan

2021

PLoS ONE

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Introduction Individual’s early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005–2016. Methods This study utilized the data from the National Family Health Survey 2005–06 and 2015–16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors. Results More adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30–49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country. Conclusion The prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005–06 to 2015–16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

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“…Also, personal health information for participants including anthropometrics, performance tests, biomarker risk factors and preventive health behaviours (including alcohol, FnV consumption), chronic conditions (self-reported chronic health conditions including hearing difficulty), health services coverage, healthcare utilisation, social networks, subjective well-being and quality of life (QoL), and impact of caregiving were captured in the study. 26 27 The study adopted a complex survey method involving a multistage cluster sampling design of 250 primary sample units and 20 strata with sampling weights for each participant. 25 Details about the study design and procedures for data collection have been published elsewhere.…”

Section: Introductionmentioning

confidence: 99%

Alcohol consumption and fruits and vegetable intake among older adults in Ghana: a cross-sectional survey based on WHO-SAGE Wave 2 data

Tachi

Yawson

Agyei-Nkansah

et al. 2020

BMJNPH

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BackgroundAlcohol consumption and inadequate fruits and vegetable (FnV) intake are major reasons for the shift from communicable to non-communicable diseases (NCDs) over the years. The older Ghanaian adult is at high risk of NCD and data on alcohol and FnV consumption are required to guide policy to mitigate its effect. This analysis aimed to determine the factors associated with alcohol consumption and assess the relationship between alcohol consumption and FnV intake among Ghanaians aged 50 years and older.MethodsThis analysis used WHO Study on Global Ageing and Adult Health (SAGE) Wave 2, Ghana data set conducted between 2014 and 2015. Data on demographic characteristics, FnV intake, and alcohol consumption were collated and analysed. Multivariable Poisson, logistic and probit regression analyses were performed to assess the associations between alcohol consumption and inadequate FnV intake.ResultsA total of 3533 Ghanaians aged 50 years and older, 41.0% men and 59.0% women, were included in this study. The prevalence of lifetime alcohol consumption was 22.8% (95% CI 20.7% to 25.1%). Alcohol consumption was significantly associated with sex, age group, marital status, religion, place of residence and history of smoking. The prevalence of adequate FnV intake was 52.6% with a mean daily intake of 6.45 servings: 2.98 for fruits and 3.47 for vegetables. There was a significant positive correlation between inadequate FnV intake and alcohol consumption. Inadequate FnV consumption was significantly higher among lifetime alcohol consumers compared with non-alcohol consumers. (Poisson estimate; adjusted Prevalence Ratio (aPR) (95% CI)=1.35 (1.12 to 1.63), logistic estimate; adjusted Old Ratio (aOR) (95% CI)=1.13 (1.05 to 1.21) and probit estimate; adjusted normalized coefficient (aβ) (95% CI)=0.19 (0.07 to 0.31))ConclusionAbout a quarter and nearly half of older Ghanaian adults consume alcohol and inadequate FnV, respectively. Alcohol consumption is significantly associated with inadequate FnV intake. Interventions to address inadequate FnV intake among older adults in Ghana should also include policies that regulate the use of alcohol in this population.

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Lifestyle health risk factors and multiple non-communicable diseases among the adult population in India: a cross-sectional study

Cited by 15 publications

References 27 publications

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

Alcohol consumption and fruits and vegetable intake among older adults in Ghana: a cross-sectional survey based on WHO-SAGE Wave 2 data

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