Assessing the Burden of COVID-19 among Children Aged 6-14 Years in Karnataka, India: A Cross-sectional Survey

Background

India experienced three coronavirus disease (COVID-19) waves, with the third attributed to the highly contagious Omicron variant. Before the national vaccination rollout for children above 6, understanding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) positivity in the pediatric population was essential. This study aims to assess the burden of Covid-19 infection and to estimate the seroprevalence in children aged 6 to 14 years in the state of Karnataka.

Material and Methods

We surveyed 5,358 children aged 6-14 across Karnataka using 232 health facilities, from June 6 to 14, 2022. We determined the sample size using the PPS (Population Proportional to Size) technique and employed cluster sampling. We tested all participants for SARS-CoV-2 IgG with an enzyme-linked immunosorbent assay (ELISA) kit and SARS-CoV-2 RNA with reverse transcription-polymerase chain reaction (RT-PCR). We sequenced samples with a cycle threshold (CT) value below 25 using whole genomic sequencing (WGS).

Result

We found an adjusted seroprevalence of IgG at 75.38% statewide, and we found 0.04% of children RT-PCR positive for COVID-19. We determined a case-to-infection ratio of 1:37 and identified the SARS-CoV-2 strains as Omicron, BA.5, and BA.2.10.

Conclusion

The study showed a high seroprevalence of IgG among children with low active infection. Omicron, BA. 5, and BA. 2.10 variants were detected through WGS.

Smoked tobacco dependence and its correlates among participants attending life skills training and counselling services programme across Karnataka (2017-2022)

Introduction

Indian National Mental Health Survey reports an alarming prevalence of 20.9% for tobacco dependence in India. Dependence on smoked tobacco can be prevented by thorough knowledge of the risk factors associated with it.

Objectives

To estimate the prevalence and identify the factors associated with smoked tobacco dependence among participants attending the life skills training and counselling services programme (LSTCSP) across Karnataka from 2017 to 2022.

Materials and Methods

Pretraining data of 3104 participants from training programmes between 2017 and 2022 were utilised. Univariate and multivariable logistic regression analysis was performed based on a conceptual framework with various hypothesised exposure variables and smoked tobacco dependence as outcome.

Results

The overall prevalence of smoked tobacco dependence among LSTCSP participants who used smoked tobacco products was 59.4%. Ever use of smokeless tobacco products (Adjusted odds ratio (AOR) =2.05, 95% CI: 1.11-3.78) and screening positive for symptoms of generalised anxiety (AOR = 2.53, 95% CI: 1.32-4.84) significantly increased the odds of smoked tobacco dependence, whereas making decisions collectively in the family (AOR = 0.35, 95% CI: 0.18-0.66) and individuals with increased score for neurotic personality traits (AOR = 0.64, 95% CI: 0.44-0.93) were the factors associated with reduced odds of smoked tobacco dependence.

Conclusion

The identified risk factors associated with smoked tobacco dependence are important to develop tobacco control programmes as well as in preventing its onset. With the risk factors for smoked tobacco dependence identified, the results of this study have implications for health promotion and prevention programmes as well as cessation programmes related to smoked tobacco dependence, within India and similar countries.

Youth focused life skills training and counselling services program-An inter-sectoral initiative in India: Program development and preliminary analysis of factors affecting life skills

OBJECTIVES

This paper describes the methodology of developing and implementation of a youth focused life skills training and counselling services programme (LSTCP) and assessment of factors associated with life skills of participants pre-training.

DESIGN

Development of all aspects of LSTCP (modules, methods and evaluation) was through a consultative process. Experiential learning based facilitation was decided as the approach for training participants. A quasi-experimental design with pre, post and follow-up assessment post-training was finalised. Data collection was done using specifically developed semi-structured self-administered questionnaire.

RESULTS

Multivariable logistic regression with life skills as outcome and various exposure variables was performed. About 2/3rd of participants had high level of life skills (68%). Increased score of extraversion (AOR = 1.57,95% CI = 1.32-1.85), agreeableness (AOR = 1.42,95% CI = 1.16-1.73), conscientiousness (AOR = 1.9,95% CI = 1.55-2.33), physical (AOR = 1.03,95% CI = 1.01-1.04), environmental (AOR = 1.02,95% CI = 1.004-1.03) and social quality of life (AOR = 1.01,95% CI = 1.006-1.02) were associated with high life skills score. Higher score of neuroticism (AOR = 0.66,95% CI = 0.53-0.79) was associated with low life skills score.

CONCLUSION

The results presented provide an opportunity to understand the evolution of factors affecting life skills during the follow-up of this study. This study throws light on development of LSTCP for apparently healthy population in a setting like India and its states.

Age, gender, peers, life skills and quality of life influence risk of cell phone addiction among college teachers in Karnataka, India : a state level epidemiological analysis

BACKGROUND

Cell phones are an integral part of modern day life and have become companions for individuals irrespective of age, gender and socio-economic status. In this study, we assessed the factors affecting risk of cell phone addiction among teachers attending Life Skills Training and Counselling Services (LSTCS) program in Karnataka.

METHODS

This cross sectional secondary data analysis utilised data from baseline assessment of trainees attending a Life Skills Training and Counselling Services program (LSTCP). Various factors hypothesised to be affecting risk of cell phone addiction (outcome) was analysed using univariate and multivariable logistic regression analysis. All the analysis was done using STATA 12.0 software.

RESULTS

Multivariable logistic regression analysis was conducted with risk of cell phone addiction as outcome. A conceptual framework of hypothesized exposure variables was developed based on expert consultation and literature review. Overall, data of 1981 participants was utilized. Gender (AOR=1.91; 95% CI=1.27-2.77), number of peers (AOR=1.01; 95 CI=1-1.008) and social quality of life (AOR=1.01; 95% CI=1.00-1.03) were associated with increased risk of cell phone addiction. Age (AOR=0.98; 95%CI=0.96-1.00), empathy (AOR=0.96;95%;CI=0.93-0.99), communication skills(AOR=0.92, 95%;CI=0.88-0.96) and physical quality of life (AOR=0.96; 95% CI=0.95-0.98) were associated with reduced risk of cell phone addiction.

CONCLUSIONS

This study on precursors of risk of cell phone addiction, conducted mostly among apparently healthy individuals, provide important insights into interventions to reduce risk of cell phone addiction. The complexity of associations between peers, gender, quality of life and risk of cell phone addiction needs further exploration.