Does social media provide adequate health education for prevention of COVID-19? A case study of YouTube videos on social distancing and hand-washing.

Social media offers an opportune platform for educating the public about the recommended interventions during global health emergencies. This case study evaluated information in the popular social media platform YouTube about two key interventions (namely, 'social distancing' and 'hand washing') recommended during coronavirus disease-2019. Using the keywords 'social distancing' and 'hand washing', 77 and 78 videos, respectively, were selected from YouTube through pre-defined criteria. The understandability, actionability and quality of information in these videos were assessed. Cumulatively, the social distancing videos received >9 million views and the hand-washing videos received >37 million views. Thirteen social distancing videos (16.9%) and 46 hand-washing videos (58.9%) provided understandable, actionable and good-quality information. The non-understandable, non-actionable or poor-quality videos had paradoxically more viewer engagements than the understandable, actionable or good-quality videos, respectively. Most social distancing videos came from news agencies (68.8%). Hand-washing videos were mostly uploaded by health agencies or academic institutes (52.6%). The videos were less likely to be understandable and actionable and to be of good quality when uploaded by sources other than health agencies or academic institutes. The paucity of adequate information and the limited representation of 'authoritative' sources were concerning. Strategies for harnessing social media as an effective medium for public health education are necessary during pandemics.

Are internet videos useful sources of information during global public health emergencies? A case study of YouTube videos during the 2015-16 Zika virus pandemic.

BACKGROUND: Internet-videos, though popular sources of public health information, are often unverified and anecdotal. We critically evaluated YouTube videos about Zika virus available during the recent Zika pandemic. METHODS: Hundred-and-one videos were retrieved from YouTube (search term: zika virus). Based upon content, they were classified as: informative, misleading or personal experience videos. Quality and reliability of these videos were evaluated using standardized tools. The viewer interaction metrics (e.g. no. of views, shares, etc.), video characteristics (video length, etc.) and the sources of upload were also assessed; and their relationship with the type, quality and reliability of the videos analyzed. RESULTS: Overall, 70.3% videos were informative, while 23.8% and 5.9% videos were misleading and related to personal experiences, respectively. Although with shorter lengths (P < 0.01) and superior quality (P < 0.01), yet informative videos were viewed (P = 0.054), liked (P < 0.01) and shared (P < 0.05) less often than their misleading counterparts. Videos from independent users were more likely to be misleading (adjusted OR = 6.48, 95% CI: 1.69 - 24.83), of poorer (P < 0.05) quality and reliability than government/news agency videos. CONCLUSION: A considerable chunk of the videos were misleading. They were more popular (than informative videos) and could potentially spread misinformation. Videos from trustworthy sources like university/health organizations were scarce. Curation/authentication of health information in online video platforms (like YouTube) is necessary. We discuss means to harness them as useful source of information and highlight measures to curb dissemination of misinformation during public health emergencies.

Prevalence and predictors of metabolic syndrome in schizophrenia patients from Assam.

BACKGROUND: Metabolic abnormalities contribute enormously to morbidity and mortality in schizophrenia. OBJECTIVES: Our objectives were to determine the (i) prevalence of metabolic syndrome (MS); and (ii) predictors for MS in schizophrenia patients from Assam. MATERIALS AND METHODS: Seventy-five schizophrenia patients were evaluated for MS. Risk factors were assessed by odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: Fifty-nine patients (78.7%) had a metabolic abnormality. Twenty-two patients (29.3%, 95% CI: 19.9%-40.8%) fulfilled the criteria for MS. Female gender (adjusted OR = 7.8, 95% CI: 1.7-36.4), smoking (adjusted OR = 7.9, 95% CI: 1.7-35.8), family history of chronic lifestyle disease (adjusted OR = 4.4, 95% CI: 1.3-15.2), and atypical antipsychotic use (adjusted OR = 4.3, 95% CI: 1.1-16.9) significantly predicted MS. CONCLUSION: Metabolic abnormalities exist widely in schizophrenics from Assam. Females, smokers, and those with family history of chronic diseases and using atypical antipsychotics are at greater risk.

Association of Decreased High-Density Lipoprotein Cholesterol (HDL-C) With Obesity and Risk Estimates for Decreased HDL-C Attributable to Obesity: Preliminary Findings From a Hospital-Based Study in a City From Northeast India.

BACKGROUND: Obesity is an important risk factor for decrease in high-density lipoprotein cholesterol (HDL-C) levels, which predisposes to cardiovascular diseases. But, the relative contribution of obesity toward decreased HDL-C and the risk estimates of decreased HDL-C attributable to obesity are unavailable. Such measures will help in understanding the extent by which the burden of decreased HDL-C can be reduced by tackling obesity. OBJECTIVES: The objectives of this study were to ( a) determine the association between decreased HDL-C and obesity and ( b) estimate the attributable risk proportion (ARP) and population attributable risk proportion (PARP) for decreased HDL-C due to obesity. METHODS: Body mass index (BMI) and waist circumference (WC) were measured as indices of overweight (or generalized obesity) and central obesity, respectively in 190 subjects (95 cases with low HDL-C and 95 healthy controls with normal HDL-C) from Guwahati city. Crude odds ratio (OR) and adjusted OR with 95% confidence interval (CI) were calculated along with the risk estimates (ARP and PARP). RESULTS: People with overweight or generlized obesity (adjusted OR = 4.90, 95% CI = 3.59-6.68), and people with central obesity (adjusted OR = 3.33, 95% CI = 2.39-4.64) had significantly greater odds of developing decreased HDL-C. Among the exposed, 79.8% of the decreased HDL-C cases could be attributed to overweight (or generalized obesity), while 72.8% cases could be attributed to central obesity. In the overall population, the corresponding figures were 57.1% and 36%, respectively. CONCLUSION: Decreased HDL-C is strongly associated with and largely attributable to obesity.

Presence of Concurrent Derangements of Liver Function Tests in Type 2 Diabetes and Their Relationship with Glycemic Status: A Retrospective Observational Study from Meghalaya.

BACKGROUND AND OBJECTIVES: The liver plays a pivotal role in carbohydrate metabolism. Therefore, functional state of the liver in patients with diabetes is of interest. The objectives of the current study were to (i) identify co-existent biochemical derangements of liver function tests (LFTs) in type 2 diabetes and (ii) determine the association between liver function parameters and glycemic status in type 2 diabetics from Shillong, Meghalaya. MATERIALS AND METHODS: Data from 320 type 2 diabetes patients were screened retrospectively for abnormalities in LFTs. Relationship of fasting serum glucose was assessed with the following tests in the LFT panel: Total bilirubin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), and albumin. Correlation coefficient was computed between individual LFT and fasting glucose status. These bivariate analyses were supplemented by multivariate linear regression analyses. RESULTS: 71.25% subjects had an abnormality in at least one LFT. Elevated ALT (46.8%) and elevated ALP (48.5%) were the most common abnormality in males and females, respectively. ALP correlated positively with fasting glucose in both sexes. AST, ALT, and ALP were found to be independent determinants of glycemic status. CONCLUSION: Derangements in liver function are widely co-existent in type 2 diabetics from Shillong. Deranged liver enzymes are associated with glycemic status. Screening for liver dysfunction in diabetics and subsequent workup may lead to the identification of hepatic co-morbidities and better management.

Single nucleotide polymorphisms of APOA1 gene and their relationship with serum apolipoprotein A-I concentrations in the native population of Assam.

BACKGROUND: There is a growing interest in the role of allelic variants of the APOA1 gene in relation to a number of disorders. We described two common polymorphisms of the APOA1 gene, G-75A and C+83T and investigated their potential influence on the serum apolipoprotein A-I (apo A-I) levels in the native population of Assam - a region that is ethnically distinct and from where no information is hitherto available. METHODS: Blood samples were collected from 150 healthy volunteers. Apo A-I levels were estimated by immunoturbidometry. Genotyping was done by a PCR-RFLP method that involved DNA extraction from whole blood, followed by polymerase chain reaction and digestion of the PCR product by MspI restriction enzyme, and analysis of fragment sizes in 12% polyacrylamide gel. RESULTS: The GG variant at G-75A locus and CC variant at C+83T locus were the most prevalent. GG/CC was the most common combination. Homozygous TT genotype was not detected in any of the subjects. The rare allele frequencies for the G-75A and C+83T sites were found to be 0.22 and 0.06 respectively, which significantly differed from those reported in some other populations in neighbouring regions. Serum apo A-I concentrations did not vary significantly across the detected genotypes. These findings were consistent in both sexes. CONCLUSION: We described the distribution of the G-75A and C+83T polymorphisms of the APOA1 gene in the population of Assam for the first time. These polymorphisms were not found to directly influence apo A-I concentrations in this population either individually or synergistically.

Variation in Lipid Profile Across Different Patterns of Obesity - Observations from Guwahati, Assam.

BACKGROUND: Obesity adversely affects cardiovascular health is known. But, data is few in this regard from Assam, northeast India. The serum lipid profile is performed for cardio-metabolic status assessment. AIM: The aim of the study was to investigate variation in serum lipids across different obesity patterns in an urban population from Assam. MATERIALS AND METHODS: Two hundred subjects were classified by WC (waist circumference) and BMI (body mass index) values into four groups as follows: Group I (normal WC, normal BMI), Group II (normal WC, increased BMI), Group III (increased WC, normal BMI) and Group IV (increased WC, increased BMI). WC and BMI served as measures of central and generalized obesity respectively. Lipid profile was measured using VITROS 5600 Autoanalyser, and compared across these groups. Multivariate analyses were performed separately for males and females to confirm the results of univariate analyses. RESULTS: WC and BMI exhibited significant correlations with different lipid parameters. Group IV individuals had the most abnormal lipid profile values, while, Group I individuals had the most normal values. Group II and Group III individuals had intermediate values. BMI was independently associated with serum triglycerides in both males and females. WC was independently associated with high density lipoprotein cholesterol in females. CONCLUSION: The lipid values varied significantly across different obesity patterns. Serum lipid concentrations were strongly influenced by anthropometric indices of obesity in both sexes. Presence of both central and generalized obesity led to greater abnormalities in lipid profile than presence of central or generalized obesity alone.