Killing two birds with one stone? Association between tobacco and alcohol consumption

Reis, Ana Maria; Quintal, Carlota; Lourenço, Óscar

doi:10.1016/j.puhe.2017.10.019

Cited by 11 publications

(9 citation statements)

References 49 publications

(53 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This model offers significant advantages over other models because it allows the detection of correlations between the error terms of two equations and controls for potential reverse causality problems. 10 Thus, the combined determinants of overweight or obesity and chronic diseases can be examined and the findings may help in the planning of health promotion policies in an 'obesogenic environment. '…”

Section: Introductionmentioning

confidence: 99%

Overweight/obesity risks and prevalence of diabetes and hypertension in North Eastern India: An analysis using seemingly unrelated probit model

Marbaniang

Lhungdim

Yadav

et al. 2021

Clinical Epidemiology and Global Health

View full text Add to dashboard Cite

It would be reasonable to hypothesize that common unobserved factors, such as psychological stress and anxiety, as well as genetic and environmental factors, simultaneously influence the tendency for overweight or obesity and the prevalence of chronic disease. The paper tries to examine the joint influence of an individual's and socio-economic characteristics in determining overweight or obesity and chronic disease. Methods: The sample comprised of 112,062 male and female participants age 15-49 years. For the simultaneous joint estimation approach we employ a seemingly unrelated probit model with and without control for endogeneity.Results: The non-zero correlation coefficient obtained from the analysis reveals that overweight or obesity is related to diabetes and hypertensions, indicating the existence of unmeasurable individual factors that commonly affect the propensity to diabetes and hypertension and overweight or obesity. A 10% increase in overweight and obesity causes increment of 4% in diabetes, 4.9% in hypertension. Further, among the overweight or obese individual, a 10% increase in overweight and obesity causes increment of 4.7% in diabetes, and 6.5% in hypertension in the study area. Conclusion:The study indicates presence of unobserved factors that simultaneously affect overweight/obesity and prevalence of both diabetes and hypertension. Policy and health promotion programme should also give special attention to the unmeasurable factors (for example: genetic factors, psychological stress and long working hour) that commonly influence the risk of overweight or obesity and chronic diseases.

show abstract

Section: Introductionmentioning

confidence: 99%

Overweight/obesity risks and prevalence of diabetes and hypertension in North Eastern India: An analysis using seemingly unrelated probit model

Marbaniang

Lhungdim

Yadav

et al. 2021

Clinical Epidemiology and Global Health

View full text Add to dashboard Cite

show abstract

“…The joint estimation approach represented an improvement over existing studies using single‐equation regressions [8,10,11], which often included one behaviour as an explanatory variable of the other and were subjected to endogeneity bias [13,19]. Finally, compared to studies using single cross‐sections [13,16,19,30], the repeated cross‐sectional data used in this study allowed for: (i) the inclusion of cohort and time fixed effects that minimised omitted variable bias; and (ii) analyses using single‐wave data that provided evidence for the temporal consistency of the results.…”

Section: Discussionmentioning

confidence: 99%

“…The approach links the two equations (i.e. the two behaviours) through the covariance of the error terms, which captures individual‐specific characteristics that are unobserved in the data yet influence both behaviours (‘common unobserved characteristics’, henceforth) [8,10–12,16]. Examples of such characteristics include impulsivity, time inconsistency and other forms of cognitive bias [11,14,17,18].…”

Section: Introductionmentioning

confidence: 99%

“…The joint estimation approach has several advantages over single‐equation regression analyses that are more commonly employed in the literature [8,10–12,16]. First, the approach can be used to test: (i) whether the decisions to smoke and drink are interrelated; and (ii) whether the interrelationship is positive or negative, which would indicate (at least, indirectly) whether the two behaviours are complementary or substitutable.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of tobacco and alcohol co‐consumption in Thailand: A joint estimation approach

Witvorapong

Vichitkunakorn

2020

Drug and Alcohol Review

View full text Add to dashboard Cite

Introduction and AimsMost studies on tobacco and alcohol consumption empirically model the two behaviours separately. The primary aim of this study was to investigate the patterns of tobacco and alcohol co‐consumption in Thailand, modelling the two behaviours jointly and identifying whether they complemented or substituted each other.Design and MethodsData were extracted from the 2007, 2011, 2014 and 2017 waves of the nationally representative Tobacco and Alcohol Consumption Survey in Thailand. A bivariate ordered probit model, under which the frequencies of tobacco and alcohol consumption were jointly estimated, was performed on the repeated cross‐sectional sample as well as each of the cross‐sectional samples.ResultsBased on the repeated cross‐sectional sample (n = 411 981), the analyses suggested that tobacco and alcohol consumption were complementary behaviours. The predicted conditional probabilities revealed that the more frequently one drank, the higher the likelihood that he/she also smoked at a higher frequency, and vice versa.Discussion and ConclusionsGiven the complementary nature of tobacco and alcohol consumption in Thailand, tobacco‐ and alcohol‐prevention strategies should be realigned and better co‐ordinated for greater efficiency. The net impacts of a given tobacco or alcohol policy should be incorporated into the optimal policy design to avoid duplication of efforts. Also, future studies of tobacco and alcohol consumption should consider modelling the two behaviours together using a joint estimation approach.

show abstract

“…The logo brands of beers obtained higher association scores than distilled alcoholic drinks, these differences were expected, since according to the WHO (WHO, 2014), 60% of the consumption of alcoholic beverages in Brazil consists of beers. It is necessary to emphasize that the consumption of alcoholic beverages is socially accepted, if done moderately (Reis, Quintal, & Lourenço, 2018).…”

Section: Association Of Trademark Logosmentioning

confidence: 99%

Relações entre o Reconhecimento de Personagens, Logos e Marcas de Produtos de Tabaco, Fast-Food, Refrigerantes e Bebidas Alcoólicas em Crianças

et al. 2020

View full text Add to dashboard Cite

Esta pesquisa teve como objetivo investigar relações entre o reconhecimento de personagens infantis e a associação de logos e marcas de produtos de tabaco, fast-food, refrigerantes e bebidas alcoólicas em 90 crianças, entre 4-9 anos, da cidade do Rio de Janeiro, sendo a maioria do sexo masculino (56,7%). A escolha da faixa etária se baseou no modelo de comportamento consumidor proposto por McNeal, o qual diz que o consumidor se encontra plenamente formado aos 8 anos de idade. Utilizou-se o Instrumento de Avaliação de Personagens de Desenho Animado e Filme (IACMC, α = 0.80, M=0.75, DP= 0.16), o Instrumento de Avaliação de Logos de Desenho Animado e Filme (IACML α = 0.80, M = 0.88, DP = 0.21) e o Instrumento de Avaliação da Associação de Logos e Marcas (IALTA, α = 0.74, M = 0.53, DP = 0.14). As pontuações globais para reconhecimento de logos correlacionaram-se significativamente com as pontuações globais para reconhecimento de personagens infantis (r = 0.38, p<0.01). O modelo foi desenhado a partir de personagens para logotipos e destes para associações de fast-food. Um efeito direto foi extraído de fast-food com refrigerante e álcool. O ajuste foi X² (df = 736) = 782.97 (p = 0.112), RMSEA = 0.03 (90% de CC [0.00, 0.04]) (p = 0.996), CFI = 0.95, TLI = 0.94. A pesquisa demonstrou a necessidade de regulamentação mais rígida para a publicidade de bebidas alcoólicas, refrigerantes e fast-food.

show abstract

Killing two birds with one stone? Association between tobacco and alcohol consumption

Abstract: The analysis of the interdependence between alcohol and tobacco use presented in this article may allow reducing their consumption with a common intervention, enabling policymakers to 'kill two birds with one stone' and to achieve extended health and economic gains.

Cited by 11 publications

References 49 publications

Overweight/obesity risks and prevalence of diabetes and hypertension in North Eastern India: An analysis using seemingly unrelated probit model

Overweight/obesity risks and prevalence of diabetes and hypertension in North Eastern India: An analysis using seemingly unrelated probit model

Investigation of tobacco and alcohol co‐consumption in Thailand: A joint estimation approach

Relações entre o Reconhecimento de Personagens, Logos e Marcas de Produtos de Tabaco, Fast-Food, Refrigerantes e Bebidas Alcoólicas em Crianças

Contact Info

Product

Resources

About