Modified B. G. Prasad socioeconomic scale: 2022 update of India

Sood, Parul; Bindra, Supreet; Singh, Pankajpreet

doi:10.18203/2394-6040.ijcmph20230245

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…The difference in the prevalence of depression in the different occupational groups was not significant. In reference to socioeconomic class (Modified B G Prasad Classification) 9 , higher prevalence of depression was seen in Class IV (43.9%) and Class V (28.0%) socioeconomic status followed by those belonging to Class III (25.6%) and Class II socioeconomic status (22.5%). It is seen that the lower socioeconomic status has higher prevalence of depression.…”

Section: Resultsmentioning

confidence: 96%

“…Various studies have revealed that the prevalence rates for depression in the community samples of the elderly in India varied from 6% to 58%. 8,[9][10][11] Sampling strategies, sample sizes, study setting, and instruments used in different studies may be the factors for this varied prevalence .We also tried to look for association of depression with a number of factors such as age group, education, occupation, socioeconomic status, type of family and various comorbidities and disabilities with depression.…”

Section: Discussionmentioning

confidence: 99%

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Depression Among Elderly Women in Rural Mandya, Karnataka: A Cross Sectional Study

Vinay

et al. 2023

Natl J Community Med

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Background: Depression is characterized by persistent sadness and lack of interest or pleasure in enjoyable activities and disturbed sleep and appetite. Women suffer from depression the most, as the hurdles faced by Indian women include lack of awareness, stigma, disadvantaged position of women, multiple roles, increased levels of stress, and domestic violence. This study is to determine the prevalence of depression among elderly women and to determine the factors affecting it. Methodology: This cross-sectional study was conducted among 783 elderly women (aged 60 years or more), residing in rural Mandya (South Karnataka) by interviewing them using a semi-structured proforma. Geriatric Depression Scale (GDS-15) was used to assess depression. Mean, standard deviation and proportion were used for descriptive statistics. Chi square test was used to determine association of risk factors. Results: The prevalence of depression was found to be 31.6%. The major factors affecting depression were increasing age, illness and loneliness. Conclusions: The prevalence of depression in the elderly women was high (31.6%). By identifying risk factors for depression among the elderly population and screening them on time, we can reduce the severity and burden of the disease to a greater extent.

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Section: Resultsmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Depression Among Elderly Women in Rural Mandya, Karnataka: A Cross Sectional Study

Vinay

et al. 2023

Natl J Community Med

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“…Prasad Scale, updated January 2022 (77.1%). 20 Maximum participants were from phase 1 MBBS (28.6%). About 14.4% had any addiction; of whom tobacco (57.6%) was the most commonly used addictive substance found among 35 students followed by alcohol 19 (30.5%) (Table 1).…”

Section: Resultsmentioning

confidence: 98%

“…Smartphone usage (assessed using digital well-being and parental control application in smartphone) and mindfulness (assessed using MAAS) 19 were taken as dependent variables, while independent variables were sociodemographic variables (age in completed years, gender, level of education, socioeconomic status as per Modified B G Prasad Scale 2022, 20 type of family, and total number of family members), addiction history, and presence of comorbidities.…”

Section: Exclusion Criteriamentioning

confidence: 99%

A cross-sectional study on smartphone use and mindfulness among undergraduate medical students of a medical college in Kolkata

Sanjay Kumar Saha,

Soma Chakrabarti,

Ankita Mishra

et al. 2024

Asian J Med Sci

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Background: Nowadays, increasing use of smart phone has led to smart phone addiction. Even medical students are inadvertently using these devices for non-academic purposes. Excessive smart phone use can impact mindfulness, which, in turn, can hamper patient care. Aims and Objectives: The objective of this study was to assess the smart phone usage and mindfulness among Undergraduate Medical Students of a Medical College, Kolkata. Materials and Methods: An observational study and cross-sectional in design was conducted from October 01, 2022, to December 12, 2022, among 423 undergraduate medical students of a medical college in Kolkata selected by simple random sampling technique using a pre-designed pre-tested structured questionnaire (containing mindful attention awareness scale). Besides, assessment of Digital Wellbeing and Parental Control application was done. Data were analyzed using Microsoft Office Excel 2019 and SPSSv25. Descriptive and inferential statistics were used to represent the data. Results: Over 80% participants were using their smart phones excessively and 52.5% students were unmindful. YouTube (26.9%) was the maximally used application. The participants spent 360 min/day on smart phone on an average. Being a male had a higher odd of excessive smart phone usage. Hostel residents were more mindful than others. Duration of smart phone use had a positive relation with mindfulness (Spearman’s rho 0.108, P=0.026). Conclusion: The participants spent a major portion of the day in front of smart phone screens. Smartphone use had a positive impact on mindfulness. By setting boundaries, that is, limiting daily usage in websites and apps, smart phone use can be reduced.

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“…Nutrition : Dietary data are being collected by the 24-hour dietary recall, multiple pass method over 2 days – one weekday and one weekend day (Saturday or Sunday). This enables us to observe trends in dietary patterns, food security, and the influence of climate change (parents & children) (44) (objective 3).…”

Section: Methodsmentioning

confidence: 99%

The YUVAAN cohort: an innovative multi-generational platform for health systems and population health interventions to minimize intergenerational transmission of non-communicable diseases in India

Miriam,

Mandlik,

Patwardhan

et al. 2023

Preprint

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Introduction: Non-communicable diseases (NCDs) pose a significant health burden in India, with preventable risk factors contributing to their prevalence. Intergenerational inequities can exacerbate the transmission of health risks to further disadvantage vulnerable populations. Taking a life course perspective, this multi-generational cohort study aims to investigate behavioural, socio-ecological, and socio-economic determinants of growth and NCD risk, as well as healthcare access and utilization among rural households that include preadolescent children and their parents. Methods: The study is being implemented by Hirabai Cowasji Jehangir Medical Research Institute (HCJMRI) utilizing a prospective multi-generational cohort design to investigate NCD risk across 15 years. Data are being collected from 12 villages around Pune, Maharashtra, India. The primary population enrolled includes apparently asymptomatic (i.e., healthy) children aged 8 to 10 years and their parents. The sample size calculation (N=1300 children) for this longitudinal prospective cohort was driven by the primary objective of assessing trajectories of growth and NCD incidence across generations. A total of 2099 children aged 6 to 10 years have been screened since April 2022, of whom 1471 have been found to be eligible for inclusion in the study. After obtaining informed consent from parents and their children, comprehensive bi-annual data are being collected from both children and parents, including clinical, behavioural, healthcare access and utilization as well as socio-ecological and socio-economic determinants of health. Participants (children and their parents) are being enrolled through household visits, and by arranging subsequent visits to the primary health facility of HCJMRI. Clinical assessments include anthropometric measurements, blood samples for a wide range of NCD indicators, bone health, and muscle function. The long-term data analysis plan includes longitudinal modeling, time-series analyses, structural equation modeling, multilevel modeling, and sex and gender-based analyses. Ethics approval has been obtained from the institutional ethics committee, the Ethics Committee Jehangir Clinical Development Centre Pvt Ltd. Written informed consent is obtained from adults and written informed assent from children. Discussion: As of May 2023, 378 families from 10 villages have been enrolled, including 432 preadolescents and 756 parents. Preliminary results not only highlight the double burden of malnutrition in the cohort with undernutrition and overweight/obesity coexisting among children and parents, respectively but also identify high rates of diabetes and hypertension among adults in rural areas. Findings can inform the development of targeted interventions to reduce NCDs, address intergenerational health inequities, and improve health outcomes in vulnerable populations.

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Modified B. G. Prasad socioeconomic scale: 2022 update of India

Cited by 6 publications

References 2 publications

Depression Among Elderly Women in Rural Mandya, Karnataka: A Cross Sectional Study

Depression Among Elderly Women in Rural Mandya, Karnataka: A Cross Sectional Study

A cross-sectional study on smartphone use and mindfulness among undergraduate medical students of a medical college in Kolkata

The YUVAAN cohort: an innovative multi-generational platform for health systems and population health interventions to minimize intergenerational transmission of non-communicable diseases in India

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