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  1. Sreeramareddy CT, Ramakrishnareddy N
    BMC Public Health, 2017 07 24;18(1):48.
    PMID: 28738826 DOI: 10.1186/s12889-017-4579-y
    BACKGROUND: Food insecurity is a very common problem in developing countries particularly among the poorer households. Very few studies have tested the association between adult smoking and food insecurity.

    METHODS: We analysed the data from a nationally representative sample of 10,826 households in which women and men (in a sub sample of 4121 households) aged 15-49 years were interviewed in Nepal Demographic and Health Survey 2011. Data from households in which both men and women were interviewed were analysed for association of household food insecurity access score (HFIAS), with tobacco use among men and women, socio-demographic and spatial factors. Univariate comparisons followed by zero-inflated negative binomial regression analyses were done to determine the association between HFIAS and individual, household and spatial factors.

    RESULTS: Mean HFIAS score was 3.5 (SD, 4.6) whereas the median was 0 (IQR 0-6). Prevalence of tobacco use among men and women was 50.2% (95% CIs 47.9, 52.6), and 17.3% (95% CIs 15.7, 18.9). HFIAS scores were significantly higher among households where men used tobacco (4.96), and men either smoked or use SLT (3.82) as compared to those without tobacco users (2.79). HFIAS scores were not significantly different by tobacco use status of women. HFIAS score was highest in the poorest households and vice versa. After adjusting for covariates association between HFIAS score and male tobacco use remained significant but effect size decreased when covariates were included into regression models (adjusted OR 1.11). HFIAS score was also associated wealth index (adjusted OR 0.86-0.62) and ecological region (adjusted OR 1.33) and development regions (adjusted OR 1.10-1.21).

    CONCLUSION: Tobacco users in poor(er) households should be encouraged to 'quit' their habit. Less affluent sectors of the population also need to be educated about the non-health benefits of quitting, such as improved economic status and reduced food insecurity.
  2. Sreeramareddy CT, Ramakrishnareddy N, Subramaniam M
    Public Health Nutr, 2015 Nov;18(16):2906-14.
    PMID: 25435296 DOI: 10.1017/S1368980014002729
    OBJECTIVE: To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators.

    DESIGN: Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.

    SETTING: A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.

    SUBJECTS: Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.

    RESULTS: Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ)

  3. Sreeramareddy CT, Ramakrishnareddy N, Harsha Kumar H, Sathian B, Arokiasamy JT
    PMID: 22185233 DOI: 10.1186/1747-597X-6-33
    BACKGROUND: Nearly four-fifths of estimated 1.1 million smokers live in low or middle-income countries. We aimed to provide national estimates for Nepal on tobacco use prevalence, its distribution across demographic, socio-economic and spatial variables and correlates of tobacco use.
    METHODS: A secondary data analysis of 2006 Nepal Demographic and Health Survey (DHS) was done. A representative sample of 9,036 households was selected by two-stage stratified, probability proportional to size (PPS) technique. We constructed three outcome variables 'tobacco smoke', 'tobacco chewer' and 'any tobacco use' based on four questions about tobacco use that were asked in DHS questionnaires. Socio-economic, demographic and spatial predictor variables were used. We computed overall prevalence for 'tobacco smoking', 'tobacco chewing' and 'any tobacco use' i.e. point estimates of prevalence rates, 95% confidence intervals (CIs) after adjustment for strata and clustering at primary sampling unit (PSU) level. For correlates of tobacco use, we used multivariate analysis to calculate adjusted odds ratios (AORs) and their 95% CIs. A p-value < 0.05 was considered as significant.
    RESULTS: Total number of households, eligible women and men interviewed was 8707, 10793 and 4397 respectively. The overall prevalence for 'any tobacco use', 'tobacco smoking' and 'tobacco chewing' were 30.3% (95% CI 28.9, 31.7), 20.7% (95% CI 19.5, 22.0) and 14.6% (95% CI 13.5, 15.7) respectively. Prevalence among men was significantly higher than women for 'any tobacco use' (56.5% versus 19.6%), 'tobacco smoking' (32.8% versus 15.8%) and 'tobacco chewing' (38.0% versus 5.0%). By multivariate analysis, older adults, men, lesser educated and those with lower wealth quintiles were more likely to be using all forms of tobacco. Divorced, separated, and widowed were more likely to smoke (OR 1.49, 95% CI 1.14, 1.94) and chew tobacco (OR 1.36, 95% CI 0.97, 1.93) as compared to those who were currently married. Prevalence of 'tobacco chewing' was higher in eastern region (19.7%) and terai/plains (16.2%). 'Tobacco smoking' and 'any tobacco use' were higher in rural areas, mid-western and far western and mountainous areas.
    CONCLUSIONS: Prevalence of tobacco use is considerably high among Nepalese people. Demographic and socioeconomic determinants and spatial distribution should be considered while planning tobacco control interventions.
  4. Sreeramareddy CT, Ramakrishnareddy N, Rahman M, Mir IA
    BMJ Open, 2018 05 26;8(5):e017477.
    PMID: 29804056 DOI: 10.1136/bmjopen-2017-017477
    INTRODUCTION: Health professionals play an important role in providing advice to their patients about tobacco prevention and cessation. Health professionals who use tobacco may be deterred from providing cessation advice and counselling to their patients. We aimed to provide prevalence estimates of tobacco use among student health professionals and describe their attitudes towards tobacco cessation training.

    METHODS: Country-wise aggregate data from the Global Health Professions Student Survey on 'current cigarette smoking' (smoking cigarettes on 1 or more days during the past 30 days), and 'current use of tobacco products other than cigarettes' (chewing tobacco, snuff, bidis, cigars or pipes, 1 or more days during the past 30 days) were analysed. For each WHO region, we estimated mean prevalence rates of tobacco use weighted by the population of the sampling frame and aggregate proportions for 'health professionals' role' and 'cessation training' indicators using 'metaprop' command on Stata V.11.

    RESULTS: A total of 107 527 student health professionals participated in 236 surveys done in four health profession disciplines spanning 70 countries with response rates ranging from 40% to 100%. Overall, prevalence of smoking was highest in European countries (20% medical and 40% dental students) and the Americas (13% pharmacy to 23% dental students). Other tobacco use was higher in eastern Mediterranean (10%-23%) and European countries (7%-13%). In most WHO regions, ≥70% of the students agreed that health professionals are role models, and have a role in advising about smoking cessation to their patients and the public. Only ≤33% of all student health professionals in most WHO regions (except 80% dental students in the Eastern Mediterranean region) had received formal training on smoking cessation approaches and ≥80% of all students agreed that they should receive formal cessation training.

    CONCLUSIONS: Tobacco control should take place together with medical educators to discourage tobacco use among student health professionals and implement an integrated smoking cessation training into health professions' curricula.

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