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Improving work life balance among female educationists during the COVID-19 lockdown

Deepa S, Kumaresan A, Suganthirabab P, Srinivasan V, Vishnuram S, Alagesan J, et al.

Work, 2023;75(2):413-421.
PMID: 36872818 DOI: 10.3233/WOR-220063

BACKGROUND: The entire education industry switched from offline to online modes as a result of the coronavirus outbreak. Numerous teachers who were diagnosed with musculoskeletal, psychological, and other neurodegenerative diseases have reported increased exhaustion, lack of sleep, a decline in quality of life (QoL), a decrease in physical activity, and excessive stress from online classes during the COVID-19 lockdown, especially women.
OBJECTIVE: The aim of this study is to evaluate the effectiveness of three-modal exercise on fatigue, sleep, QoL as well as to determine the relationship between age, disease severity, disease stage and working years with women diagnosed with Parkinson's disease (PD).
METHODS: In this randomized controlled trial, 44 female educators in stages I-II with PD who were between the ages of 40 and 60 volunteered. For a total of 36 sessions over the course of six weeks, Group A received a three-modal fitness program through online video sessions, whereas Group B received Nordic walking. The outcome measures included the Fatigue Severity Scale, Parkinson's Disease Sleep Scale, and Parkinson's Disease Quality of Life Questionnaire-39.
RESULTS: Age, Hoehn and Yahr scale, working years, and PD in years did not correlate with each other (p > 0.50). The three-modal exercise experimental Group A showed statistically significant improvement in QoL (p 0.001), sleep (p 0.001), and fatigue (p 0.001).
CONCLUSION: Women in the field of education who participated in a three-modal exercise programme for PD reported a significant improvement in their level of exhaustion, sleep patterns, and quality of life.
Impact of mobile phone usage on dynamic postural control among South Indian college students

Dhanusia S, Santhana Lakshmi S, Kumar A, Prabhu R, Srinivasan V, Suganthirababu P, et al.

Work, 2024 Jan 22.
PMID: 38277326 DOI: 10.3233/WOR-230161

BACKGROUND: Smartphones are a technical marvel that rapidly evolved to play an important role in our lives. One downside to smartphone use is that it significantly worsens posture. It is believed that using a smartphone while walking increases the risk of cognitive decline and the loss of dynamic balance needed to perform functional tasks.
OBJECTIVE: The objective of the study was to determine the impact of smartphone usage on dynamic postural control among South Indian college students.
METHODS: The study was carried out in a private college with 400 invited students through online social media platforms. The four-square step test and SAS-SV were used to determine the impact of smartphone usage on dynamic postural control. The students were informed about the study process. A total of 250 participants were included based on the inclusion criteria.
RESULTS: There was a high percentage of agreement on smartphone usage on dynamic postural control measured with SAS-SV, revealing statistical significance with a mean value of 41.532 and SD of 10.010886. The four-square step test with a mean value of 22.5 and SD of 1.8995878 also proved significant impact. A positive correlation was found between smartphone usage and dynamic postural control, which was analysed using Pearson's correlation coefficient of 0.90130.
CONCLUSION: A significant correlation was noted between mobile usage and dynamic balance. Smartphones can have a negative impact on dynamic balance by distracting users from their surroundings and increase the risk of falls.
Fulltext Low SARS-CoV-2 viral load among vaccinated individuals infected with Delta B.1.617.2 and Omicron BA.1.1.529 but not with Omicron BA.1.1 and BA.2 variants

Selvavinayagam ST, Yong YK, Joseph N, Hemashree K, Tan HY, Zhang Y, et al.

Front Public Health, 2022;10:1018399.
PMID: 36211690 DOI: 10.3389/fpubh.2022.1018399

The rapid spread of SARS-CoV-2 variants in the global population is indicative of the development of selective advantages in emerging virus strains. Here, we performed a case-control investigation of the clinical and demographic characteristics, clinical history, and virological markers to predict disease progression in hospitalized adults for COVID-19 between December 2021 and January 2022 in Chennai, India. COVID-19 diagnosis was made by a commercial TaqPath COVID-19 RT-PCR, and WGS was performed with the Ion Torrent Next Generation Sequencing System. High-quality (<5% of N) complete sequences of 73 Omicron B.1.1.529 variants were randomly selected for phylogenetic analysis. SARS-CoV-2 viral load, number of comorbidities, and severe disease presentation were independently associated with a shorter time-to-death. Strikingly, this was observed among individuals infected with Omicron BA.2 but not among those with the BA.1.1.529, BA.1.1, or the Delta B.1.617.2 variants. Phylogenetic analysis revealed severe cases predominantly clustering under the BA.2 lineage. Sequence analyses showed 30 mutation sites in BA.1.1.529 and 33 in BA.1.1. The mutations unique to BA.2 were T19I, L24S, P25del, P26del, A27S, V213G, T376A, D405N and R408S. Low SARS-CoV-2 viral load among vaccinated individuals infected with Delta B.1.617.2 and the Omicron BA.1.1.529 variant but not with Omicron BA.1.1 or BA.2 suggests that the newer strains are largely immune escape variants. The number of vaccine doses received was independently associated with increased odds of developing asymptomatic disease or recovery. We propose that the novel mutations reported herein could likely bear a significant impact on the clinical characteristics, disease progression, and epidemiological aspects of COVID-19. Surging rates of mutations and the emergence of eclectic variants of SARS-CoV-2 appear to impact disease dynamics.
Fulltext Clinical characteristics and novel mutations of omicron subvariant XBB in Tamil Nadu, India - a cohort study

Selvavinayagam ST, Karishma SJ, Hemashree K, Yong YK, Suvaithenamudhan S, Rajeshkumar M, et al.

Lancet Reg Health Southeast Asia, 2023 Dec;19:100272.
PMID: 38076717 DOI: 10.1016/j.lansea.2023.100272

BACKGROUND: Despite the continued vaccination efforts, there had been a surge in breakthrough infections, and the emergence of the B.1.1.529 omicron variant of SARS-CoV-2 in India. There is a paucity of information globally on the role of newer XBB variants in community transmission. Here, we investigated the mutational patterns among hospitalised patients infected with the XBB omicron sub-variant, and checked if there was any association between the rise in the number of COVID-19 cases and the observed novel mutations in Tamil Nadu, India.
METHODS: Nasopharyngeal and oropharyngeal swabs, collected from symptomatic and asymptomatic COVID-19 patients were subjected to real-time PCR followed by Next Generation Sequencing (NGS) to rule out the ambiguity of mutations in viruses isolated from the patients (n = 98). Using the phylogenetic association, the mutational patterns were used to corroborate clinico-demographic characteristics and disease severity among the patients.
FINDINGS: Overall, we identified 43 mutations in the S gene across 98 sequences, of which two were novel mutations (A27S and T747I) that have not been reported previously with XBB sub-variants in the available literature. Additionally, the XBB sequences from our cohort had more mutations than omicron B.1.1.529. The phylogenetic analysis comprising six major branches clearly showed convergent evolution of XBB. Our data suggests that age, and underlying conditions (e.g., diabetes, hypertension, and cardiovascular disease) or secondary complications confers increased susceptibility to infection rather than vaccination status or prior exposure. Many vaccinated individuals showed evidence of a breakthrough infection, with XBB.3 being the predominant variant identified in the study population.
INTERPRETATION: Our study indicates that the XBB variant is highly evasive from available vaccines and may be more transmissible, and potentially could emerge as the 'next' predominant variant, which likely could overwhelm the existing variants of SARS-CoV-2 omicron variants.
FUNDING: National Health Mission (India), SIDASARC, VINNMER (Sweden), ORIP/NIH (USA).
Genomic surveillance of omicron B.1.1.529 SARS-CoV-2 and its variants between December 2021 and March 2023 in Tamil Nadu, India-A state-wide prospective longitudinal study

Selvavinayagam ST, Suvaithenamudhan S, Yong YK, Hemashree K, Rajeshkumar M, Kumaresan A, et al.

J Med Virol, 2024 Feb;96(2):e29456.
PMID: 38329187 DOI: 10.1002/jmv.29456

A state-wide prospective longitudinal investigation of the genomic surveillance of the omicron B.1.1.529 SARS-CoV-2 variant and its sublineages in Tamil Nadu, India, was conducted between December 2021 and March 2023. The study aimed to elucidate their mutational patterns and their genetic interrelationship in the Indian population. The study identified several unique mutations at different time-points, which likely could attribute to the changing disease characteristics, transmission, and pathogenicity attributes of omicron variants. The study found that the omicron variant is highly competent in its mutating potentials, and that it continues to evolve in the general population, likely escaping from natural as well as vaccine-induced immune responses. Our findings suggest that continuous surveillance of viral variants at the global scenario is warranted to undertake intervention measures against potentially precarious SARS-CoV-2 variants and their evolution.