The latest medical research on Addiction Psychiatry

Transportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the trade-offs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity.

The ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogotá Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios.

Our model reproduced commuting patterns observed in Bogotá, including substantial necessity-based walking for transportation. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times nor physical activity levels were impacted at the city level or by SES. Comparatively, fare subsidies promoted city-level public transportation (PT) ridership, particularly under a 'free-fare' scenario, largely through reductions in walking trips. 'Free fare' policies also led to a large reduction in very long walking times and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the 'freefare' policy, with no change observed among high-SES groups.

Transport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity.

Across time, geographies and country income levels, smoking prevalence is highest among people with lower incomes. Smoking causes further impoverishment of those on the lower end of the income spectrum through expenditure on tobacco and greater risk of ill health.

This paper summarises the results of investment case equity analyses for 19 countries, presenting the effects of increased taxation on smoking prevalence, health and expenditures. We disaggregate the number of people who smoke, smoking-attributable mortality and cigarette expenditures using smoking prevalence data by income quintile. A uniform 30% increase in price was applied across countries. We estimated the effects of the price increase on smoking prevalence, mortality and cigarette expenditures.

In all but one country (Bhutan), a one-time 30% increase in price would reduce smoking prevalence by the largest percent among the poorest 20% of the population. All income groups in all countries would spend more on cigarettes with a 30% increase in price. However, the poorest 20% would pay an average of 12% of the additional money spent.

Our results confirm that health benefits from increases in price through taxation are pro-poor. Even in countries where smoking prevalence is higher among wealthier groups, increasing prices can still be pro-poor due to variable responsiveness to higher prices. The costs associated with higher smoking prevalence among the poor, together with often limited access to healthcare services and displaced spending on basic needs, result in health inequality and perpetuate the cycle of poverty.

More than 80% of the world's 1.3 billion tobacco users live in low-income and middle-income countries (LMICs), where progress to address tobacco and its harms has been slow. The perception that tobacco control detracts from economic priorities has impeded progress. The Secretariat of the WHO Framework Convention on Tobacco Control (FCTC) is leading the FCTC 2030 project, which includes technical assistance to LMICs to analyse the economic costs of tobacco use and the benefits of tobacco control.

The Secretariat of the WHO FCTC, United Nations Development Programme and WHO supported 21 LMICs between 2017 and 2022 to complete national investment cases to guide country implementation of the WHO FCTC, with analytical support provided by RTI International. These country-level cases combine customised estimates of tobacco's economic impact with qualitative analysis of socio-political factors influencing tobacco control. This paper overviews the approach, observed tobacco control advancements and learnings from 21 countries: Armenia, Cabo Verde, Cambodia, Chad, Colombia, Costa Rica, El Salvador, Eswatini, Georgia, Ghana, Jordan, Laos, Madagascar, Myanmar, Nepal, Samoa, Sierra Leone, Sri Lanka, Suriname, Tunisia and Zambia.

Tobacco control advancements in line with investment case findings and recommendations have been observed in 17 of the 21 countries, and many have improved collaboration and policy coherence between health and economic stakeholders.

Tobacco control must be seen as more than a health concern. Tobacco control leads to economic benefits and contributes to sustainable development. National investment cases can support country ownership and leadership to advance tobacco control.

Youth vaping poses a significant public health concern as metals have been detected in e-cigarette aerosols and liquids. This study investigated factors associated with biomarkers of metal exposure.

Data were drawn from Wave 5 of the Population Assessment of Tobacco and Health (PATH) Study Youth Panel, a nationally representative sample of US adolescents aged 13-17 years. Urinary biomarkers of exposure to cadmium, lead, and uranium were assessed by vaping frequency (occasional (1-5 days), intermittent (6-19 days), and frequent (20+ days)) in the past 30 days and flavour type (menthol/mint, fruit, and sweet).

Among 200 exclusive e-cigarette users (median age 15.9 years, 62.9% female), 65 reported occasional use, 45 reported intermittent use, and 81 reported frequent use. The average number of recent puffs per day increased exponentially by vaping frequency (occasional: 0.9 puffs, intermittent: 7.9 puffs, frequent: 27.0 puffs; p=0.001). Both intermittent (0.21 ng/mg creatinine) and frequent users (0.20 ng/mg creatinine) had higher urine lead levels than occasional users (0.16 ng/mg creatinine). Frequent users also had higher urine uranium levels compared with occasional users (0.009 vs 0.005 ng/mg creatinine, p=0.0004). Overall, 33.0% of users preferred using menthol/mint flavours, 49.8% fruit flavours, and 15.3% sweet flavours. Sweet flavour users had higher uranium levels compared with menthol/mint users (0.009 vs 0.005 ng/mg creatinine, p=0.02).

Vaping in early life could increase the risk of exposure to metals, potentially harming brain and organ development. Regulations on vaping should safeguard the youth population against addiction and exposure to metals.

Clincialtrials.gov: NCT03740113. Registered 14 November 2018- Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03740113 .

This Type 1 hybrid, cluster randomized controlled trial includes 12 Appalachian middle schools (6 randomized to Kids SIPsmartER and 6 to control). Kids SIPsmartER is a 6-month, 12 lesson, multi-level, school-based, behavior and health literacy program aimed at reducing SSB among 7th grade middle school students. The program also incorporates a two-way text message strategy for caregivers. In this primary prevention intervention, all 7th grade students and their caregivers from participating schools were eligible to participate, regardless of baseline SSB consumption. Validated instruments were used to assess SSB behaviors and QOL. Height and weight were objectively measured in students and self-reported by caregivers. Analyses included modified two-part models with time fixed effects that controlled for relevant demographics and included school cluster robust standard errors.

Of the 526 students and 220 caregivers, mean (SD) ages were 12.7 (0.5) and 40.6 (6.7) years, respectively. Students were 55% female. Caregivers were mostly female (95%) and White (93%); 25% had a high school education or less and 33% had an annual household income less than $50,000. Regardless of SSB intake at baseline and relative to control participants, SSB significantly decreased among students [-7.2 ounces/day (95% CI = -10.7, -3.7); p < 0.001, effect size (ES) = 0.35] and caregivers [-6.3 ounces/day (95% CI = -11.3, -1.3); p = 0.014, ES = 0.33]. Among students (42%) and caregivers (28%) who consumed > 24 SSB ounces/day at baseline (i.e., high consumers), the ES increased to 0.45 and 0.95, respectively. There were no significant effects for student or caregiver QOL indicators or objectively measured student BMI; however, caregiver self-reported BMI significantly decreased in the intervention versus control schools (p = 0.001).

Kids SIPsmartER was effective at reducing SSB consumption among students and their caregivers in the rural, medically underserved Appalachian region. Importantly, SSB effects were even stronger among students and caregivers who were high consumers at baseline.