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There is a wide discrepancy in the epidemiology of alcohol use disorders (AUDs) due to diverse scales and survey approaches. We estimated the prevalence of AUDs by comparing the pooled prevalence based on the alcohol use disorders identification test (AUDIT) Vs. non-AUDIT (all scales other than AUDIT). This review searched the community-based prevalence of AUDs in PubMed, Web of Science, PsycINFO, Scopus, Ovid, and Google Scholar. Articles published during the years from 2000 to 2020 were included. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated, and the publication bias was evaluated. Twenty-one studies conducted in different states of India included 73997 community-based respondents, which estimated the overall prevalence of AUDs as 12.5% (95% CI: 9 to 17.3%). The pooled prevalence based on AUDIT was 12.4% (AUDIT ≥8; 95% CI: 8.8 to 17.1%) in which the magnitude of hazardous and harmful alcohol use (8.6%; 95% CI: 5.7 to 12.8%; AUDIT 8-19) was significantly higher than dependent alcohol use (2.3%; 95% CI: 1.1 to 4.8%; AUDIT ≥ 20). The pooled prevalence using the non-AUDIT tool was 14.2(95%; CI: 6-30%). Our findings further reveal that about one in twelve of the population of India have AUDs, and there is a gross variation in the patterns of alcohol use across the country. The high prevalence of AUDs suggests developing a national policy to benefit alcohol use, justifying regional variations.
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Background: Patients with dementia usually have multiple comorbidities. The presence of comorbidities may exacerbate the progression of dementia and decreases the patient's ability to participate in health maintenance activities. However, there is hardly any meta-analysis estimating the magnitude of comorbidities among patients with dementia in the Indian context. Methods: We searched PubMed, Scopus, and Google Scholar, and relevant studies conducted in India were included. The risk of bias was assessed and a random-effects meta-analysis model was used in which I2 statistics were calculated to measure heterogeneity among studies. Results: Fourteen studies were included in the meta-analysis based on the inclusion and exclusion criteria. Altogether, we found the coexistence of comorbid conditions such as hypertension (51.10%), diabetes (27.58%), stroke (15.99%), and factors like tobacco use (26.81 %) and alcohol use (9.19%) among patients with dementia in this setting. The level of heterogeneity was high due to differences in the methodologies in the included studies. Conclusions: Our study found hypertension as the most common comorbid condition among patients with dementia in India. The observed lacuna of methodological limitations in the studies included in the current meta-analysis provides the urgent need for good quality research to successfully meet the challenges ahead while devising appropriate strategies to treat the comorbidities among patients with dementia.
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Across India, there have been multiple studies conducted to address the issues of the mental health of healthcare workers during the COVID-19 pandemic. The present study estimated the pooled prevalence of psychological morbidity among healthcare workers during the early phase of the COVID 19 pandemic in India. We searched the following electronic bibliographic databases: PubMed, ScienceDirect, Wiley online library, and Google scholar for studies conducted from the onset of the COVID 19 pandemic until 25 September 2021. The methodological quality of each study was scored and outcome measures with uniform cut off scores as per various screening measurements were evaluated. According to the current meta analysis, the pooled estimates of depression, anxiety, stress, and insomnia among Indian healthcare workers during the COVID 19 pandemic are 20.1% (95% CI: 15.6 to 24.6%; n = 21 studies), 25.0% (95% CI: 18.4 to 31.6%; n = 20 studies), 36% (95% CI: 23.7 to 48.2%; n = 22 studies) and 18.9% (95% CI: 9.9 to 28.0%; n = 6 studies) respectively. In subgroup analyses, low quality studies based on the JBI checklist (Score < 3/9) and studies using DASS 21 showed a higher pooled prevalence of depression and anxiety. About 20-36% of the healthcare workers in India reported having depression, anxiety, and stress during the early phase of the COVID 19 pandemic. The present study provides a comprehensive review of the overall burden of mental health problems among healthcare workers during the COVID 19 pandemic in India necessitating appropriate intervention strategies to protect these frontline groups before the memory of the pandemic crisis starts to fade.
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Background: The burden of stroke is increasing in India, but there is limited understanding of the distribution of reported risk factors in the Indian setting. It is vital to generate robust data on these modifiable risk factors to scale up appropriate strategies for the prevention of cerebrovascular diseases in this setting. Summary: The objective of this study is to estimate the overall proportion of life style risk factors of patients with stroke in the Indian setting. We searched PubMed and Google Scholar and relevant studies published till February 2022 were included. The risk of bias assessment was considered for the study selection criterion in the meta-analysis. The publication bias was evaluated by funnel plots and Egger's test. We identified 61 studies in the systematic review and after quality assessment, 36 studies were included for meta-analysis. Random effect model was used due to the significant inconsistency among the included studies (I2 > 97%). The mean age of the participants was 53.84±9.3 years and patients with stroke were predominantly males (64%). Hypertension (56.69%; 95% CI: - 48.45 - 64.58), obesity (36.61%; 95% CI: - 19.31 - 58.23), dyslipidemia (30.6%; 95% CI: - 22 - 40.81) and diabetes mellitus (23.8%; 95% CI: - 18.79 - 29.83) are the leading intermediate conditions associated with stroke. The Physical inactivity - 29.9% (95% CI: - 22.9 - 37.1), history of tobacco use (28.59 %; 95% CI: - 22.22 - 32.94) and alcohol use (28.15 %; 95% CI: - 20.49 - 37.33) were reported as the behavioral risk factors for stroke in this setting. Key Messages: The current meta-analysis provides robust estimates of the life style related risk-factor of stroke in India based on the observational studies conducted from 1994 to 2019. Estimating the pooled analysis of stroke risk factors is crucial to predict the imposed burden of the illness and ascertain the treatment and prevention strategies for controlling the modifiable risk factors in this setting.
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Background: There is scanty evidence regarding the magnitude of COVID-19-related psychological distress (PD) among the general population of India. Objectives: This study aimed to estimate the pooled prevalence of PD among the general public of India during the COVID-19 pandemic. Material and Methods: We conducted a meta-analysis of 21 online surveys conducted across the Indian subcontinent and published between 2020 and 2021. Results: Overall estimates of PD among the general public during the COVID-19 pandemic by the random-effects model is 33.3% (95% confidence interval: 23.8%-42.8%; n = 21 studies). The level of heterogeneity was high among the included studies (I2 = 99.67%). In subgroup analysis, it was found that the survey tool and the methodological quality had a significant effect on the overall prevalence estimates. Approximately 33% of the general public reported to have PD during the COVID-19 pandemic in India, although the overall prevalence varied based on survey tools and quality of studies. Conclusion: As the pandemic crisis seems to be ebbing across the world, the current findings are a wake-up call to devise pragmatic strategies to curtail the burden of similar pandemics and to successfully meet the challenges ahead.
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Objective: The novel coronavirus (n COVID-19) has affected every walk of life across the world including India. Several studies have been available on the COVID-19-related anxiety and depressive symptoms in the public health context. However, there is a dearth of evidence of a meta-analysis regarding the pooled estimates of anxiety and depressive symptoms related to this pandemic based on the existing studies conducted among the general population of India. The aim of the study was to estimate the pooled prevalence of COVID-19-related anxiety and depressive symptoms among the general population in India. Material and Methods: We searched the following electronic bibliographic databases: PubMed, Ovid, Science Direct, and Wiley online library for studies conducted from the onset of the COVID-19 pandemic and until September 25, 2021. We separately analyzed the outcome measures based on the risk of bias assessment. The publication bias was evaluated by funnel plots and Egger's test. Results: We used a random-effect model due to the significant heterogeneity between the studies (Anxiety symptoms - I2 = 99.40% and Depressive symptoms - I2 = 95.3%). According to the index meta-analysis, the pooled estimates of anxiety and depressive symptoms among general population of India during COVID-19 pandemic are 23.5% (95% CI: 17.4-29.6%; n = 21 studies) and 20.2% (95% CI: 17.2-23.2%; n = 17 studies), respectively. In subgroup analyses, good-quality studies (Score ≥7/9) had a significant effect on the pooled prevalence. Conclusion: About one-fifth of the general population of India reported having anxiety and depressive symptoms during the COVID-19 pandemic. The pooled estimates varied with the methodological quality of included studies. The present study provides a comprehensive picture of the overall magnitude of anxiety and depressive symptoms due to the COVID-19 outbreak which will guide the policy makers to measure the burden of similar pandemics more judiciously in the future.
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Background: Problematic internet use (PIU) among school going adolescents constitutes a major area of concern. However, no comprehensive reports are available to determine the magnitude of the problem. This study aimed to estimate the pooled prevalence of PIU among school going adolescents in India. Methods: We conducted a systematic review and meta analysis of 15 studies conducted in various parts of India. Results: The prevalence of moderate and severe PIU among Indian school going adolescents was 21.5% (95% CI: 17.0%-26.8%) and 2.6% (95% CI: 1.6%-4.2%) based on the Young Internet Addiction Test (Y IAT) cutoff points of 50 and 80, respectively. In subgroup analysis, it was found that the year of publication, gender, sampling method, and severity of addiction had a significant effect on the prevalence estimates. Conclusions: Currently, the use of the internet is rampant in India and our findings reflect nationally representative data on the magnitude of PIU among school going adolescents. About one fifth of school going adolescents are at risk of PIU in this setting. There is a need for further research in the reconsideration of cut off points of the Y IAT among Indian adolescents.
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Background: The significant burden of stroke on the mortality rates of developing countries, including India, is well-documented in the literature. However, robust data regarding the aggregates of evidence on the quality of life (QOL) of stroke survivors is limited. Objective: To gather relevant information for policymakers on the QOL of stroke survivors based on observational studies conducted in the Indian setting. Methods: We searched PubMed, Scopus, and Google Scholar for studies conducted in the Indian setting. The methodological quality of each study was scored, and data were extracted from the published reports. The risk of bias assessment was conducted based on the JBI Critical Appraisal Checklist criteria. The relevant data regarding QOL were analyzed by a random effects model using R software. Results: 16 studies were included in the systematic review in which the majority of the studies recruited study participants in the hospital-based setting with an average duration of 3-6 months following the stroke episode. Our findings suggest that the pooled mean quality of life in the four dimensions of the World Health Organization Quality of Life instrument (WHOQOL-BREF) were ranged from 46.86 to 61.37 and the overall Stroke Specific Quality of Life scale (SS-QOL) mean score was 157.16. There was a significant inconsistency among the included studies as heterogeneity was high (I2 >97%). Conclusion: Assessment of the quality of life among stroke survivors is a crucial step to predict the illness' imposed burden and ascertain the effectiveness of the treatment. The present meta-analysis elucidates the aggregate estimates of quality of life and contributes to the research on the quality of life following a stroke in an Indian context.
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BACKGROUND: The internet is an integral part of everyone's life. College going adolescents are highly vulnerable to the misuse of the internet. AIMS: To estimate the pooled prevalence of internet addiction (IA) among college students in India. METHODS: Literature databases (PubMed, Web of Science, Scopus, EMBASE, PsycINFO and Google Scholar) were searched for studies assessing IA using the Young Internet Addiction Test (Y-IAT) among adolescents from India, published in the English language up to December 2020. We included studies from 2010 to 2020 as this is the marked era of momentum in wireless internet connectivity in India. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the fixed-effects model. Publication bias was evaluated using Egger's test and visual inspection of the symmetry in funnel plots. RESULTS: Fifty studies conducted in 19 states of India estimated the prevalence of IA and the overall prevalence of IA as 19.9% (95% CI: 19.3% to 20.5%) and 40.7% (95% CI: 38.7% to 42.8%) based on the Y-IAT cut-off scores of 50 and 40, respectively. The estimated prevalence of severe IA was significantly higher in the Y-IAT cut-off points of 70 than 80 (12.7% (95% CI: 11.2% to 14.3%) vs 4.6% (95% CI: 4.1% to 5.2%)). The sampling method and quality of included studies had a significant effect on the estimation of prevalence in which studies using non-probability sampling and low risk of bias (total quality score ≥7) reported lower prevalence. The overall quality of evidence was rated as 'moderate' based on the Grading of Recommendations Assessment, Development and Evaluation criteria. CONCLUSIONS: Our nationally representative data suggest that about 20% to 40% of college students in India are at risk for IA. There is a need for further research in the reconsideration of Y-IAT cut-off points among Indian college students. PROSPERO REGISTRATION NUMBER: CRD42020219511.