A Quantitative Exploration of the Influence of Tobacco Use on Poverty in India.

INTRODUCTION: Tobacco use has a disproportionate impact on lower socioeconomic groups in India. The study quantifies the number of people who would fall under the national poverty line if the direct spending on tobacco and healthcare expenditures attributable to tobacco use were subtracted from their monthly expenditures. It also aims to estimate the extent to which tobacco use increases the probability of poverty status in India. AIMS AND METHODS: We quantify the increase in poverty by multiplying the difference between headcount ratios with and without tobacco-related spending by population size. We use propensity score matching to estimate the extent to which tobacco use increases the probability of poverty. RESULTS: About 18.4 million (1.5% of all Indians) are pushed into poverty due to either direct tobacco-related expenditures or tobacco-related healthcare spending. Tobacco use increases households' likelihood of being poor by 3.4%-3.7%. CONCLUSIONS: With over 22% of the global poor, achieving poverty reduction goals is a significant challenge for India. We show that this challenge is accentuated by increased tobacco spending, which pushes millions of Indians into poverty. To address this, the Government of India must implement both fiscal and non-fiscal policies that regulate tobacco use and, in turn, contribute to poverty reduction in the country. IMPLICATIONS: Tobacco use has a disproportionate impact on lower socioeconomic groups in India, leading to increased and deeper poverty. This paper finds that, based on existing proven measures of poverty, tobacco use accounts for an additional 18.4 million poor individuals. It also shows that tobacco use increases the likelihood of a household being classified as poor by 3.4% to 3.7%. As India is home to a significant proportion of the global poor, addressing tobacco use becomes crucial for global and domestic poverty reduction goals. Fiscal and non-fiscal policies can be used to regulate tobacco and potentially reduce poverty levels in India.

Soil filtration-sedimentation improves shelled protist recovery in eukaryotic eDNA surveys.

A large part of the soil protist diversity is missed in metabarcoding studies based on 0.25 g of soil environmental DNA (eDNA) and universal primers due to ca. 80% co-amplification of non-target plants, animals and fungi. To overcome this problem, enrichment of the substrate used for eDNA extraction is an easily implemented option but its effect has not yet been tested. In this study, we evaluated the effect of a 150 µm mesh size filtration and sedimentation method to improve the recovery of protist eDNA, while reducing the co-extraction of plant, animal and fungal eDNA, using a set of contrasted forest and alpine soils from La Réunion, Japan, Spain and Switzerland. Total eukaryotic diversity was estimated by V4 18S rRNA metabarcoding and classical amplicon sequence variant calling. A 2- to 3-fold enrichment in shelled protists (Euglyphida, Arcellinida and Chrysophyceae) was observed at the sample level with the proposed method, with, at the same time, a 2-fold depletion of Fungi and a 3-fold depletion of Embryophyceae. Protist alpha diversity was slightly lower in filtered samples due to reduced coverage in Variosea and Sarcomonadea, but significant differences were observed in only one region. Beta diversity varied mostly between regions and habitats, which explained the same proportion of variance in bulk soil and filtered samples. The increased resolution in soil protist diversity estimates provided by the filtration-sedimentation method is a strong argument in favour of including it in the standard protocol for soil protist eDNA metabarcoding studies.

The Effect of Price and Tax Policies on the Decision to Smoke or Use Smokeless Tobacco in India.

This paper investigates the impact of cigarette prices on adults' smoking and smokeless tobacco (SLT) use initiation and cessation decisions in India from 1980 to 2017. We use individual-level data from the 2017 Global Adult Tobacco Survey (GATS) to recreate the smoking history of current or past adult tobacco users using self-reported data on the years of tobacco use, initiation, and cessation merged with historical data on cigarettes, bidis, and SLT product prices. To estimate the effect of price changes on smoking and SLT use transitions, we use a pooled linear model and propensity score matching (PSM) to construct an artificial treatment group where weights capture the likelihood of being an ever-smoker. We find that price increases are a statistically significant deterrent to smoking initiation, with price elasticity of initiation being on average -0.0236 (CI: -0.024 -0.023) and -0.000428 (0.0 - 0.0) for smoking and SLT, respectively. This implies, for example, that a 10% increase in prices results in a 0.24% smaller smoking initiation and 0.004% smaller SLT use initiation. We find that prices can also encourage quitting, but the effects are not always significant, with elasticities of 0.0218 (CI: 0.017 0.026) and 0.0026 (CI: 0.001 0.004) for smoking and SLT, respectively. This implies that a 10% increase in prices will result in a 0.22% increase in the probability of quitting smoking and a 0.03% increase in the probability of quitting SLT use. The elasticity varied by income group, gender, and between young and all adults, with larger effects among lower-income adults and especially among young females. Higher cigarette prices that can be achieved by tobacco tax increases can significantly reduce initiation and encourage cessation, thus improving public health, especially among the most vulnerable population subgroups.

Healthcare Costs Attributable to Secondhand Smoke Exposure Among Indian Adults.

INTRODUCTION: In India, 38.7% of adults are exposed to SHS at home and 30.2% at work. This paper estimates the direct economic costs of diseases attributable to secondhand smoking (SHS) in India for persons aged 15 years and above. AIMS AND METHODS: Nationally representative data on healthcare expenditures, healthcare utilization, and SHS prevalence were used to estimate economic costs attributable to SHS. A prevalence-based attributable risk approach was used for estimating the attributable direct costs. To estimate the SHS-attributable fraction, the excess utilization of healthcare among SHS exposed non-smokers compared to unexposed non-smokers was estimated using a method of propensity score matching (PSM). RESULTS: The annual direct economic costs attributable to SHS from all diseases in India in the year 2017 for persons aged more than 15 years amounted to INR 566.7 billion (USD 8.7 billion). This amounted to INR 705 per adult non-smoker. The SHS attributable costs were higher among the youngest age group 20 to 24, and women bear 71% of the direct medical costs attributable to SHS. CONCLUSIONS: The annual direct economic costs of SHS amount to approximately 0.33% of India's Gross Domestic Product (GDP), or 8.1% of total healthcare expenditures in India. It is also much larger than the total excise tax revenue from cigarettes and bidis. As bidi smoking is the most popular form of smoking in India and bidis are mostly consumed by the poor, a disproportionate burden of SHS is likely borne by poor households in India. IMPLICATIONS: In India, 38.7% of adults are exposed to SHS at home and 30.2% at work. However, there is no estimate of the economic burden of any kind from SHS exposure in India. This study used a prevalence-based attributable risk approach combined with a PSM technique to estimate excess healthcare utilization for SHS exposed non-smokers and the annual direct economic costs of SHS in India. Annual direct SHS-attributable costs in India is INR 566.7 billion (USD 8.7 billion) SHS costs constituted 0.33% of GDP and 8.1% of healthcare expenditures in India.

Lake Ecosystem Robustness and Resilience Inferred from a Climate-Stressed Protistan Plankton Network.

Network analyses of biological communities allow for identifying potential consequences of climate change on the resilience of ecosystems and their robustness to resist stressors. Using DNA metabarcoding datasets from a three-year-sampling (73 samples), we constructed the protistan plankton co-occurrence network of Lake Zurich, a model lake ecosystem subjected to climate change. Despite several documentations of dramatic lake warming in Lake Zurich, our study provides an unprecedented perspective by linking changes in biotic association patterns to climate stress. Water temperature belonged to the strongest environmental parameters splitting the data into two distinct seasonal networks (October-April; May-September). The expected ecological niche of phytoplankton, weakened through nutrient depletion because of permanent thermal stratification and through parasitic fungi, was occupied by the cyanobacterium Planktothrix rubescens and mixotrophic nanoflagellates. Instead of phytoplankton, bacteria and nanoflagellates were the main prey organisms associated with key predators (ciliates), which contrasts traditional views of biological associations in lake plankton. In a species extinction scenario, the warm season network emerged as more vulnerable than the cold season network, indicating a time-lagged effect of warmer winter temperatures on the communities. We conclude that climate stressors compromise lake ecosystem robustness and resilience through species replacement, richness differences, and succession as indicated by key network properties.

Aquatic food webs in deep temperate lakes: Key species establish through their autecological versatility.

Microbial planktonic communities are the basis of food webs in aquatic ecosystems since they contribute substantially to primary production and nutrient recycling. Network analyses of DNA metabarcoding data sets emerged as a powerful tool to untangle the complex ecological relationships among the key players in food webs. In this study, we evaluated co-occurrence networks constructed from time-series metabarcoding data sets (12 months, biweekly sampling) of protistan plankton communities in surface layers (epilimnion) and bottom waters (hypolimnion) of two temperate deep lakes, Lake Mondsee (Austria) and Lake Zurich (Switzerland). Lake Zurich plankton communities were less tightly connected, more fragmented and had a higher susceptibility to a species extinction scenario compared to Lake Mondsee communities. We interpret these results as a lower robustness of Lake Zurich protistan plankton to environmental stressors, especially stressors resulting from climate change. In all networks, the phylum Ciliophora contributed the highest number of nodes, among them several in key positions of the networks. Associations in ciliate-specific subnetworks resembled autecological species-specific traits that indicate adaptions to specific environmental conditions. We demonstrate the strength of co-occurrence network analyses to deepen our understanding of plankton community dynamics in lakes and indicate biotic relationships, which resulted in new hypotheses that may guide future research in climate-stressed ecosystems.

The contact angle of nanofluids as thermophysical property.

Droplet volume and temperature affect contact angle significantly. Phase change heat transfer processes of nanofluids - suspensions containing nanometre-sized particles - can only be modelled properly by understanding these effects. The approach proposed here considers the limiting contact angle of a droplet asymptotically approaching zero-volume as a thermophysical property to characterise nanofluids positioned on a certain substrate under a certain atmosphere. Graphene oxide, alumina, and gold nanoparticles are suspended in deionised water. Within the framework of a round robin test carried out by nine independent European institutes the contact angle of these suspensions on a stainless steel solid substrate is measured with high accuracy. No dependence of nanofluids contact angle of sessile droplets on the measurement device is found. However, the measurements reveal clear differences of the contact angle of nanofluids compared to the pure base fluid. Physically founded correlations of the contact angle in dependency of droplet temperature and volume are obtained from the data. Extrapolating these functions to zero droplet volume delivers the searched limiting contact angle depending only on the temperature. It is for the first time, that this specific parameter, is understood as a characteristic material property of nanofluid droplets placed on a certain substrate under a certain atmosphere. Together with the surface tension it provides the foundation of proper modelling phase change heat transfer processes of nanofluids.

Catch me if you can: dispersal and foraging of Bdellovibrio bacteriovorus 109J along mycelia.

To cope with heterogeneous environments and resource distributions, filamentous fungi have evolved a spatially extensive growth enabling their hyphae to penetrate air-water interfaces and pass through air-filled pores. Such mycelia are also known to act as dispersal networks for the mobilisation of bacteria ('fungal highways') and connection of microbial microhabitats. Hitherto, however, nothing is known about the effect of mycelia-based dispersal on interactions between bacterial predators and their prey and concomitant effects on biomass formation. We here hypothesise that mycelia enable the contact between predators and their prey and shape a prey's population. We investigated the impact of predation by Bdellovibrio bacteriovorus 109J on the growth of its potential prey Pseudomonas fluorescens LP6a in the presence of mycelia. Our data give evidence that hyphae increase the accessibility of the prey to B. bacteriovorus 109J and, hence, allow for efficient foraging and shaping of prey populations not seen in the absence of mycelia. To test our hypothesis tailored microbial landscapes were used for better reduction of emerging properties in complex systems. Our data suggest that mycelia have substantial influence on prey-predator relationship and hereby may promote the structure of prey and predator populations and, hence, may be a determinant for biomass formation in heterogeneous environments.