Quality of life among elderly population residing in urban field practice area of a tertiary care institute of Ahmedabad city, Gujarat

Shah, Venu; Christian, Donald S.; Prajapati, Arpit; Patel, Mansi; Sonaliya, Kantibhai N

doi:10.4103/2249-4863.214965

Cited by 30 publications

(20 citation statements)

References 7 publications

(12 reference statements)

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“…Former studies reported that unmarried persons were positively correlated with hypertension and had an increased mortality from cerebrovascular diseases 34–36 . Previous research assumed that married people could improve their quality of life and medication compliance in geriatric patients with chronic illnesses 37–39 . We speculate that most of the middle-aged and elderly who have a spouse are emotionally more stable and eat more regularly, though further study is needed.…”

Section: Discussionmentioning

confidence: 99%

High prevalence of obesity-related hypertension among adults aged 40 to 79 years in Southwest China

Zhang

Hou

Tang

et al. 2019

Sci Rep

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This study aimed to assess the prevalence and related factors of obesity-related hypertension among adults aged 40 to 79 years in Southwest China. From September 2013 to March 2014, a multi-stage, stratified sampling method was conducted on 10,589 people aged 40 to 79 years and living in Chengdu and Chongqing investigated by using a questionnaire and performing physical and biochemical measurements. The prevalence of obesity-related hypertension and hypertension overall (systolic ≥130 mmHg and/or diastolic ≥80 mmHg or treated hypertension) was 22.8% and 57.4%, respectively, among all participants. For obesity-related hypertension, the prevalence was higher in women than in men (24.7% versus 19.4%, p < 0.001). For people in the age ranges of 40–49, 50–59, 60–69, and ≥70, the prevalence of obesity-related hypertension were 11.8%, 22.6%, 30.7%, and 36.6%, respectively. Participants with obesity-related hypertension as opposed to those with non-obesity-related hypertension had a higher prevalence of hypertriglyceridemia, high low-density lipoprotein cholesterolemia, diabetes, and hyperuricemia (all p < 0.05). Multivariate logistic regression analysis showed that age, female gender, current smoking, hypertriglyceridemia, diabetes and family history of hypertension were all positively correlated with obesity-related hypertension, whereas higher education level and having spouse were negatively correlated with obesity-related hypertension. The prevalence of obesity-related hypertension was high among adults aged 40 to 79 years in Southwest China. Cardiometabolic abnormalities among participants with obesity-related hypertension were more serious and frequently present than in those with non-obesity-related hypertension. Aggressive and holistic strategies aiming at the prevention and treatment of obesity-related hypertension are needed.

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Section: Discussionmentioning

confidence: 99%

High prevalence of obesity-related hypertension among adults aged 40 to 79 years in Southwest China

Zhang

Hou

Tang

et al. 2019

Sci Rep

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“…[24][25][26] Conventionally, those with an urban residence and the economically and socially better off tend to have lower mortality and higher longevity. [27][28][29][30] India, with a population of 1.35 billion in 2018, is experiencing significant improvement in health indicators. Life expectancy at birth has increased from 58.7 years in 1990 to 68.30 years in 2015 (Registrar General of India(RGI)).…”

Section: Introductionmentioning

confidence: 99%

Caste, religion and regional differentials in life expectancy at birth in India: cross-sectional estimates from recent National Family Health Survey

Mohanty

2020

BMJ Open

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ObjectiveThough estimates of longevity are available by states, age, sex and place of residence in India, disaggregated estimates by social and economic groups are limited. This study estimates the life expectancy at birth and premature mortality by caste, religion and regions of India.DesignThis study primarily used cross-sectional data from the National Family Health Survey (NFHS-4), 2015–2016 and the Sample Registration System (SRS), 2011–2015. The NFHS-4 is the largest ever demographic and health survey covering 601 509 households and 811 808 individuals across all states and union territories in India.MeasuresThe abridged life table is constructed to estimate the life expectancy at birth, adult mortality (45q15) and premature mortality (70q0) by caste, religion and region.ResultsLife expectancy at birth was estimated at 63.1 years (95% CI 62.60 -63.64) for scheduled castes (SC), 64.0 years (95% CI 63.25 - 64.88) for scheduled tribes (ST), 65.1 years (95% CI 64.69 - 65.42) for other backward classes (OBC) and 68.0 years (95% CI 67.44 - 68.45) for others. The life expectancy at birth was higher among o Christians 68.1 years (95% CI 66.44 - 69.60) than Muslims 66.0 years (95% CI 65.29 - 66.54) and Hindus 65.0 years (95% CI 64.74 -65.22). Life expectancy at birth was higher among females than among males across social groups in India. Premature mortality was higher among SC (0.382), followed by ST (0.381), OBC (0.344) and others (0.301). The regional variation in life expectancy by age and sex is large.ConclusionIn India, social and religious differentials in life expectancy by sex are modest and need to be investigated among poor and rich within these groups. Premature mortality and adult mortality are also high across social and religious groups.

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“…The Quality of Life indicator was used in seven studies. [ 42 43 44 45 46 47 48 ] All these referred to the term “quality of life” [ Table 5 ]. Only four studies defined it based on the WHO concept of quality of life.…”

Section: Resultsmentioning

confidence: 99%

“…Only four studies defined it based on the WHO concept of quality of life. [ 43 46 47 48 ] For measuring quality of life, all these studies had used the World Health Organization Quality of Life – Brief Version (WHOQOL-BREF)[ 49 ] except the study by Lahariya et al . [ 50 ] This had used the Short Form – 36 (SF 36) Version 2.…”

Section: Resultsmentioning

confidence: 99%

Prevalence of disability and its association with sociodemographic factors and quality of life in India: A systematic review

Ramadass

Sanjay

Gupta

et al. 2018

J Family Med Prim Care

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Disability is complex, dynamic in nature, multidimensional, and most contested. Quality of life is an abstract concept that is related to the level of disability in the population. Approaches to measuring disability vary across different regions, and purpose and application of the findings. We systematically reviewed the studies that have been undertaken to study the prevalence of disability and its association with sociodemographic factors and quality of life among the general population in India, between January 2000 and June 2018. The prevalence of impairment ranged from 1.6% to 43.3%. In major surveys, males had higher impairment than females. Studies that used the International Classification of Functioning, Disability and Health concept for measuring disability reported prevalence ranging from 70.0% to 93.2%. Most studies used semi-structured questionnaires for measurement of disability. Some studies have used Barthel Index for Activity of Daily Living, Instrumental Activities of Daily Living, Indian Disability Evaluation and Assessment Schedule, Rapid Assessment of Disability scale, and Standard Health Assessment Questionnaire. The quality of life was low among females. This review brings out the heterogeneity in the concepts for measuring disability and quality of life. Lack of standardization in the measurement of disability restrains any comparison between these studies.

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Quality of life among elderly population residing in urban field practice area of a tertiary care institute of Ahmedabad city, Gujarat

Cited by 30 publications

References 7 publications

High prevalence of obesity-related hypertension among adults aged 40 to 79 years in Southwest China

High prevalence of obesity-related hypertension among adults aged 40 to 79 years in Southwest China

Caste, religion and regional differentials in life expectancy at birth in India: cross-sectional estimates from recent National Family Health Survey

Prevalence of disability and its association with sociodemographic factors and quality of life in India: A systematic review

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