The Association Between Education and Smoking Prevalence, Independent of Occupation: A Nationally Representative Survey in Japan

Tomioka, Kimiko; Kurumatani, Norio; Saeki, Keigo

doi:10.2188/jea.je20180195

Cited by 64 publications

(52 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A previous regional study also showed the association between low educational background and heavy drinking in men [ 11 ] because education raises factual health-related knowledge and cognitive skills. Low educational level is also associated with other risky health behaviors in Japan [ 13 , 14 ]. Therefore, health literacy is considered to mediate educational level and health behavior.…”

Section: Discussionmentioning

confidence: 99%

“…Regional factors may be related to both behaviors [ 10 ]. Furthermore, smoking behavior was also shown to be associated with educational level in Japan [ 13 , 14 ], and the co-use of smoking and heavy alcohol consumption more frequently exist in individuals with lower educational levels.…”

Section: Discussionmentioning

confidence: 99%

“…Data were removed in advance by the Ministry of Health, Labour and Welfare when a possibility exists that participants could be identified from the content of their responses. These anonymized data have been used in several previous studies [10,[13][14][15][16]. Overall, the data of 6260 households and 16,261 individuals were obtained.…”

Section: Datamentioning

confidence: 99%

See 2 more Smart Citations

An analysis of predictors for heavy alcohol drinking using nationally representative survey data in Japan

Okui

2021

BMC Public Health

View full text Add to dashboard Cite

Background Predictors of heavy or moderate alcohol drinking behavior have not been investigated using recent nationally representative survey data in Japan. This study investigated the effects of the predictors of heavy and moderate alcohol drinking in Japan using nationally representative survey data. Methods Anonymous data from the 2013 Comprehensive Survey of Living Conditions in Japan were used to compare the predictors of heavy and moderate drinkers with those who abstain. Anonymized data that are resampled from all the survey data from the Ministry of Health, Labour and Welfare were obtained. Age group, marital status, living arrangements, educational level, household income, smoking status, and employment type were used as the explanatory variables. In addition, the drinking status (i.e., heavy drinker, moderate drinker, or abstainer) was used as the outcome variable. A multinomial logistic regression model was used, and an analysis comparing heavy drinkers and abstainers, as well as moderate drinkers and abstainers, was conducted. Results Moderate drinking was positively associated with high educational level or high household income for men and women, as well as married status for men. In addition, unemployment was found to be negatively associated with heavy drinking for men and women, and an unmarried status was also found to be negatively associated with heavy drinking for men. Moreover, lower educational levels and smoking prevalence were found to be associated with heavy drinking for men and women. Furthermore, living alone for men and working in a large-scale company for women were also found to be predictors of heavy drinking. Conclusions The preventive measures for heavy drinking were suggested to be particularly needed for those with lower educational levels and smokers. A call for attention among men living alone and among female employees in large-scale workplaces is also needed.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

An analysis of predictors for heavy alcohol drinking using nationally representative survey data in Japan

Okui

2021

BMC Public Health

View full text Add to dashboard Cite

show abstract

“…The data source in this study is based on the 2010 Comprehensive Survey of Living Conditions (CSLC) conducted by the Ministry of Health, Labour and Welfare of Japan. The details of the 2010 CSLC are explained elsewhere [24]. Briefly, the CSLC covers households and their membership throughout Japan, and has been carried out annually for the purpose of collecting basic data for the promotion of national health and social welfare.…”

Section: Methodsmentioning

confidence: 99%

Association between housing tenure and self-rated health in Japan: Findings from a nationwide cross-sectional survey

2019

Self Cite

View full text Add to dashboard Cite

BackgroundMany studies have reported that housing tenure (HT) is associated with health, but little is known about its association in Japan. We investigated the cross-sectional association between HT and self-rated health (SRH) among Japanese adults, taking demographic characteristics and socioeconomic status (SES) into consideration.MethodsWe used data from a nationally representative survey conducted by the Japanese Ministry of Health, Labour and Welfare (28,641 men and 31,143 women aged ≥20 years). HT was divided into five categories: owner-occupied, privately rented, provided housing, publically subsidized, and rented rooms. SRH was evaluated using a single-item inventory and dichotomized into poor (very poor/poor) and good (very good/good/fair). We calculated adjusted odds ratios (OR) and their 95% confidence intervals (CI) for poor SRH with logistic regression models. Covariates included demographic factors (i.e., age, gender, marital status, family size, smoking status, and chronic medical conditions) and SES factors (i.e., education, equivalent household expenditures, and occupation).ResultsAmong analyzed participants, 75.9% were owner-occupiers and 14.6% reported poor SRH. After adjustment for all covariates, compared with owner-occupiers, private renters (OR = 1.36, 95% CI = 1.26–1.47), publically subsidized renters (OR = 1.33, 95% CI = 1.19–1.48), and residents in rented rooms (OR = 1.41, 95% CI = 1.22–1.62) were more likely to report poor SRH. Stratified analyses by SES factors showed that the association between HT and poor SRH was stronger in the socially disadvantaged than in the higher socioeconomic group.ConclusionsOur results show a significant association between HT and SRH, independent of socio-demographic factors. HT may deserve greater attention as an indicator of socioeconomic position in Japan.

show abstract

“…The study found that education level was signi cantly related to smoking behavior 36 . Another study conducted in Japan found a similar pattern, namely that in the group of female smokers, the level of education was signi cantly associated with current smoking behavior 37 . Also, research conducted by (Justus, SantAnna, Davanzo, & Moreira, 2020) in Brazil found a similar pattern to the above research, namely that higher education levels are associated with lower smoking probability and lower daily consumption intensity.…”

Section: Discussionmentioning

confidence: 62%

The Determinant of Smoking Behaviour Among Female Worker in Southeast Asia: A Case Study Among The Philippines and Indonesian

Megatsari

Ad²,

2021

Preprint

View full text Add to dashboard Cite

Background The prevalence of tobacco use in Southeast Asia communities is 56% which 15% of them are female active smokers. Several studies explain that working status, neighborhood, marital status, and education are factors that cause smoking behavior in women. A scientific study is needed to obtain valid assumptions regarding the relationship of these determinants. This study aimed to analyze the determinant of smoking behavior among female workers in the Philippines and Indonesia. Methods The data is processed from 2017 PDHS and use female workers in the Philippines and Indonesia as the study population. The sample size is 11,375 female workers in the Philippines and 26,712 female workers in Indonesia. Apart from smoking behavior as the dependent variable, other variables analyzed were the place of residence, age, marital, education, parity, currently pregnant, and wealth status. The analysis in the final stage uses binary logistic regression. Results The results show that female workers in both countries from urban areas have a higher likelihood of becoming smokers than those who live in rural areas. Age group is finding as one of the smoking behavior determinants among female workers in both countries. Female workers with long-distance marriage and married / living with a partner have a lower probability of becoming a smoker than those who have marital status in the widowed/divorced category. Education level and parity are also finding as one of the smoking behavior determinants among them. Meanwhile, pregnancy found to be a protective factor for them to become a smoker. Finally, the multivariate test results found that wealth status is also a determinant of smoking behavior for female workers in both countries. Conclusions It was concluded that the seven variables analyzed are the determinants of smoking behavior among female workers in the Philippines and Indonesia. The seven variables are type of place, age, marital, education, parity, pregnancy, and wealth status.

show abstract

The Association Between Education and Smoking Prevalence, Independent of Occupation: A Nationally Representative Survey in Japan

Cited by 64 publications

References 44 publications

An analysis of predictors for heavy alcohol drinking using nationally representative survey data in Japan

An analysis of predictors for heavy alcohol drinking using nationally representative survey data in Japan

Association between housing tenure and self-rated health in Japan: Findings from a nationwide cross-sectional survey

The Determinant of Smoking Behaviour Among Female Worker in Southeast Asia: A Case Study Among The Philippines and Indonesian

Contact Info

Product

Resources

About