Assessment of resources for physical activity and understanding people's perception and practices regarding physical activity in an Indian city.

BACKGROUND: Promoting physical activity in urban India is imperative considering the burden of non-communicable diseases in the country. Planning for improving population level physical activity needs sound understanding of availability and quality of resources/facilities for physical activity and knowing people's perception and practices regarding the physical activity. METHODS: A cross-sectional study was undertaken in Kolar city of Karnataka state in India. All the resources/facilities required for supporting physical activity were mapped and their quality was assessed utilizing adapted version of physical activity resource assessment questionnaire. The information regarding latitude, longitude and approximate size of the resource was obtained using a hand-held GPS tracker. 495 individuals aged ≥ 18 years, selected by two stage cluster random sampling with probability proportionate to population size technique, were interviewed to assess their perception and practices regarding physical activity using semi-structured questionnaire and global physical activity questionnaire. RESULTS: Kolar city has 36.3 physical activity resources per lakh population and per person availability of park and playground area was 0.4 Sq. meters. Available resources were concentrated in the center of the city. Half of the sports facilities and 14 of the 17 recreational facilities in the city were of poor to mediocre quality. 38.2% of adults in Kolar city were found to be physically active. Only 19.2% of the study participants had accessed sports/fitness facilities/playgrounds in past 3 months and only 18.8% of the study participants accessed parks in the previous 3 months. 28.6% to 59.1% of the participants preferred 'walking' for work, college and shopping. Less than 5% of the participants preferred and used cycle as a mode of transport. 1/3rd of the study participants felt that Kolar city is safe of walking and 44.6% felt that the city is safe for cycling. CONCLUSION: Creating enabling environment by increasing the number and quality of resources/facilities for physical activity along with their equitable distribution is required to promote and improve population level physical activity in Kolar city. Urban planning with a focus on non-motorized transport including walking would contribute to improved people's perception and practices regarding physical activity in the city.

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.

Treatment gap for mental and behavioral disorders in Punjab.

Background and Aims: There is no data on the treatment gap and health care utilization for mental disorders from Punjab. The present study reports on the same by using the data collected during the National Mental Health Survey. Settings and Design: Multisite, multistage, stratified, random cluster sampling study conducted in four districts, namely Faridkot, Moga, Patiala, and Ludhiana (for urban metro areas). Data were collected from October 2015 to March 2016. Materials and Methods: Mini International Neuropsychiatric Interview 6.0.0 and Adapted Fagerstrom Nicotine Dependence Scale were used to diagnose mental and behavioral disorders and tobacco use disorder, respectively. Pathways Interview Schedule of the World Health Organization was applied to persons having any disorder to assess treatment gap and health care utilization. Exploratory focused group discussions (FGDs) were conducted to understand the community perceptions regarding mental and behavioral disorders. Results: The treatment gap for mental and behavioral disorders was 79.59%, and it was higher for common mental disorders than severe mental disorders and higher for alcohol and tobacco use disorders as compared to opioid use disorders. The median treatment lag was 6 months. Only seven patients out of 79 were taking treatment from a psychiatrist, and the average distance traveled by the patient for treatment was 37.61 ± 45.5 km. Many attitudinal, structural, and other barriers leading to high treatment gaps were identified during FGDs in the community, such as stigma, poor knowledge about mental health, deficiency of psychiatrists, and distance from the hospital. Conclusions: Vertical as well as horizontal multisectoral integration is required to reduce the treatment gap and improve healthcare utilization. Increasing mental health literacy, providing high-quality mental health services at the primary-healthcare level and human resources development are the need of the hour.

Health and Lifestyle Issues among Youth: A Record Analysis of Contributing Factors among Beneficiaries Attending Youth Mental Health Promotion Clinics (Yuva Spandana Kendras) in Karnataka, India.

Background: Youth are consideren to be most vulnerable to health and lifestyle issues (HLS) in India. The current study aims to investigate the factors that contribute to health and lifestyle issues among youth attending mental health promotion clinics (YMHP) in Karnataka. Method: Three-year first-visit data from beneficiaries (aged 15-35 years) attending YMHP clinics in Karnataka between 2017 and 2020 were analyzed. Multivariable logistic regression analysis included beneficiaries reporting any HLS issue as the outcome and a host of 57 hypothesized variables as exposures. Results: Overall, 2,615 (25%) beneficiaries reported HLS issues. Years of schooling (AOR 5-7 years = 0.89; 95% confidence interval [CI] =0.60-1.31), (AOR 8-10 years = 0.65; 95% CI = 0.46-0.91), (AOR >10 years = 0.67; 95% CI = 0.49-0.93)], unemployed youth (AOR = 0.52; 95% CI = 0.45-0.61) business and salaried workers (AOR = 1.69; 95% CI = 1.33-2.13), and other occupations (AOR = 2.11; 95% CI = 1.73-2.56), junk food consumption (AOR = 0.76;95% CI = 0.68-0.84), having issues related to relationships with parents (AOR = 3.01; 95% CI = 2.47-3.68) and intergenerational issues (AOR = 1.71; 95% CI = 1.19-2.45), self-development issues (AOR low-self-awareness = 1.57; 95% CI = 1.33-1.85), (AOR low-self-esteem = 1.29; 95% CI = 1.062-1.57), (AOR emotional issues = 1.57; 95% CI = 1.31-1.89), education and academics (AOR = 1.23; 95% CI = 1.09-1.39), safety issues (AOR = 4.11; 95% CI = 3.07-5.50), gender sex and sexuality issues (AOR = 2.44; 95% CI = 1.43-4.15), suicidal ideation (AOR = 1.91; 95% CI = 1.44-2.54), substance use (AOR tobacco chewing = 1.45; 95% CI = 1.09-1.93), (AOR tobacco-smoking = 1.66; 95% CI = 1.18-2.32), (AOR smoking = 4.94; 95% CI = 3.52-6.93) and experiencing emotions (AOR feel anxious = 1.63; 95% CI = 1.41-1.88), (AOR forgetfulness = 1.50; 95% CI = 1.41-1.98), (AOR difficulty in concentration = 1.37; 95% CI = 1.035-1.81), (AOR anger = 1.61; 95% CI = 1.25-2.07), (AOR feel worthless = 2.21; 95% CI = 1.71-2.86) were associated with HLS issues among beneficiaries. Conclusion: This analysis addresses an important but neglected component of HLS issues among youth highlighting the importance of early intervention among youth to prevent the development of diseases later in life. The study has important implications for youth health promotion in India and countries such as India. Health and Lifestyle Issues Among Youth: A record analysis of contributing factors among beneficiaries attending Youth Mental Health promotion clinics (Yuva Spandana Kendras) in Karnataka, India.

Prevalence and factors associated with tobacco use among beneficiaries attending the youth mental health promotion clinics (Yuvaspandana Kendra) in India: A case-record analysis.

INTRODUCTION: Chewing tobacco and smoking among youth leads to poor health outcomes. Understanding the factors associated with chewing tobacco and smoking is thus important for interventions. METHODS: A case-record analysis among 10340 youth (aged 15-35 years) attending a unique mental health promotion program, Yuva Spandana, across the state of Karnataka in southern India, was performed to assess prevalence of chewing tobacco and smoking. Multiple logistic regression was applied to determine the factors associated with their use. RESULTS: Overall, the prevalence of chewing tobacco and smoking among beneficiaries was 3% and 2.1%, respectively. The risk of tobacco chewing and smoking increased with age and risk was higher among males, married individuals and among all occupational categories, other than students. Adjusted odds ratios of chewing tobacco were found to be highest among business/salaried beneficiaries (AOR=3.48; 95% CI: 2.27-5.34), followed by ever married beneficiaries (AOR=3.41; 95% CI: 1.27-9.17). Adjusted odds ratios of smoking tobacco were highest among males (AOR=12.89; 95% CI: 7.5-22.14), followed by emotional experience of feeling worthless (AOR=4.19; 95% CI: 2.78-6.32), beneficiaries with poor relationship with family members (AOR=3.79; 95% CI: 1.38-10.44), and business/salaried beneficiaries (AOR=2.90; 95% CI: 1.79-4.7). Strength of association of males with smoking was much higher (AOR=12.89; 95% CI: 7.5-22.14) than compared with chewing tobacco (AOR=2.49; 95% CI: 1.89-3.28). CONCLUSIONS: Early identification of these factors associated with chewing tobacco and smoking will help in focusing on youth specific health promotion and interventions to improve their overall health and wellbeing.

Prevalence of substance use disorders in Punjab: Findings from National Mental Health Survey.

Background & objectives: Substance use disorders are a major public health concern in Punjab. However, reliable estimates of prevalence of substance use disorders are not available for the State. The present study reports estimates of prevalence of substance use disorders in Punjab, conducted as part of National Mental Health Survey, India. Methods: Using multistage stratified random cluster sampling, 2895 individuals from 719 households of 60 clusters (from 4 districts of Punjab) were interviewed. Mini International Neuropsychiatric Interview and Fagerstrom nicotine dependence scale were used to assess substance use disorders. Results: The sample comprised almost equal numbers of males and females. Nearly 80 per cent had less than or equal to high school education, and 70 per cent were married. The weighted prevalence of alcohol and other substance use disorders was 7.9 and 2.48 per cent, respectively. The prevalence of tobacco dependence was 5.5 per cent; 35 per cent households had one person with substance use disorder. The prevalence was highest in the productive age group (30-39 yr), urban metro and less educated persons. The prevalence of alcohol and other substance use disorders was much higher in Punjab as compared to other States where survey was done. Tobacco dependence was lowest in Punjab. Majority (87%) of the persons with substance use disorders did not suffer from any other mental disorder. Treatment gap was 80 per cent. Interpretation & conclusions: Punjab has a high burden of substance use disorders. The estimates will help clinicians and policymakers to plan the strategies against the menace of substance use disorders effectively.