Dataset Information

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

ABSTRACT: BACKGROUND:Higher smoking prevalence in less educated persons and manual workers is well known. This study examines the independent relationship of education and occupation with tobacco use. METHODS:We used anonymized data from a nationwide population survey (30,617 men and 33,934 women). Education was divided into junior high school, high school, or university attainment. Occupation was grouped into upper non-manual, lower non-manual, and manual. Poisson regression models stratified by age and gender were used to estimate adjusted prevalence ratio (PR) and 95% confidence interval (CI) for current smoking. RESULTS:After adjustment for covariates, education, and occupation, education was significantly related to current smoking in both genders; compared to university graduates, PRs of junior high school graduates aged 20-39, 40-64, and ≥65 were 1.74 (95% CI, 1.53-1.98), 1.50 (95% CI, 1.36-1.65), and 1.28 (95% CI, 1.08-1.50) among men, and 3.54 (95% CI, 2.92-4.30), 2.72 (95% CI, 2.29-3.23), and 1.74 (95% CI, 1.14-2.66) among women, respectively. However, significantly higher smoking prevalence in manual than in upper non-manual was found only in men aged 20-64; compared to upper non-manual, the PRs of manual workers aged 20-39, 40-64, and ≥65 were 1.11 (95% CI, 1.02-1.22), 1.18 (95% CI, 1.10-1.27), and 1.10 (95% CI, 0.89-1.37) among men, and 0.95 (95% CI, 0.75-1.20), 0.92 (95% CI, 0.75-1.12), and 0.46 (95% CI, 0.22-0.95) among women, respectively. CONCLUSIONS:Independent of occupation, educational disparities in smoking existed, regardless of age and gender. Occupation-smoking relationship varied with age and gender. Our study suggests that we should pay attention to social inequality in smoking as well as national smoking prevalence.

SUBMITTER: Tomioka K

PROVIDER: S-EPMC7025916 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectivesTo analyse associations between living in social housing and smoking in England and to evaluate progress towards reducing disparities in smoking prevalence among residents of social housing compared with other housing types.DesignCross-sectional analysis of nationally representative data collected between January 2015 and February 2020.SettingEngland.Participants105 562 adults (≥16 years).Primary and secondary outcome measuresLinear and logistic regression were used to analyse associations between living in social housing (vs other housing types) and smoking status, cigarettes per day, time to first cigarette, exposure to others' smoking, motivation to stop smoking, quit attempts and use of cessation support. Analyses were adjusted for sex, age, social grade, region and year.ResultsAdults living in social housing had two times the odds of being a smoker (ORadj=2.17, 95% CI 2.08 to 2.27), and the decline in smoking prevalence between 2015 and 2020 was less pronounced in this high-risk group (-7%; ORadj=0.98, 95% CI 0.96 to 1.01) than among adults living in other housing types (-24%; ORadj=0.95, 95% CI 0.94 to 0.96; housing tenure-survey year interaction p=0.020). Smokers living in social housing were more addicted than those in other housing types (smoking within 30 min of waking: ORadj=1.50, 95% CI 1.39 to 1.61), but were no less motivated to stop smoking (ORadj=1.06, 95% CI 0.96 to 1.17) and had higher odds of having made a serious attempt to quit in the past year (ORadj=1.16, 95% CI 1.07 to 1.25). Among smokers who had tried to quit, those living in social housing had higher odds of using evidence-based cessation support (ORadj=1.22, 95% CI 1.07 to 1.39) but lower odds of remaining abstinent (ORadj=0.63, 95% CI 0.52 to 0.76).ConclusionsThere remain stark inequalities in smoking and quitting behaviour by housing tenure in England, with declines in prevalence stalling between 2015 and 2020 despite progress in the rest of the population. In the absence of targeted interventions to boost quitting among social housing residents, inequalities in health are likely to worsen.

Project description:BackgroundTo date, 38 states have enacted dense breast notification (DBN) laws mandating that mammogram reports include language informing women of risks related to dense breast tissue.ObjectiveNationally representative survey to assess the association between residing in a state with a DBN law and women's awareness and knowledge about breast density, and breast cancer anxiety.DesignInternet survey conducted in 2018 with participants in KnowledgePanel®, an online research panel.ParticipantsEnglish-speaking US women ages 40-59 years without a personal history of breast cancer who had received at least one screening mammogram (N = 1928; survey completion rate 68.2%).Main measures(1) Reported history of increased breast density, (2) knowledge of the increased risk of breast cancer with dense breasts, (3) knowledge of the masking effect of dense breasts on mammography, and (4) breast cancer anxiety.Key resultsWomen residing in DBN states were more likely to report increased breast density (43.6%) compared with women residing in non-DBN states (32.7%, p < 0.01, adjusted odds ratio, 1.70, 95% CI,1.34-2.17). Interaction effect between DBN states and education status showed that the impact of DBN on women's reporting of dense breasts was significant for women with greater than high school education, but not among women with a high school education or less (p value = 0.01 for interaction). Only 23.0% of women overall knew that increased breast density was associated with a higher risk of breast cancer, and 68.0% of women understood that dense breasts decreased the sensitivity of mammography. There were no significant differences between women in DBN states and non-DBN states for these outcomes, or for breast cancer-related anxiety.ConclusionsState DBN laws were not associated with increased understanding of the clinical implications of breast density. DBN laws were associated with a higher likelihood of women reporting increased breast density, though not among women with lower education.

Project description:BackgroundWHO estimates that about 170,000 deaths by suicide occur in India every year, but few epidemiological studies of suicide have been done in the country. We aimed to quantify suicide mortality in India in 2010.MethodsThe Registrar General of India implemented a nationally representative mortality survey to determine the cause of deaths occurring between 2001 and 2003 in 1·1 million homes in 6671 small areas chosen randomly from all parts of India. As part of this survey, fieldworkers obtained information about cause of death and risk factors for suicide from close associates or relatives of the deceased individual. Two of 140 trained physicians were randomly allocated (stratified only by their ability to read the local language in which each survey was done) to independently and anonymously assign a cause to each death on the basis of electronic field reports. We then applied the age-specific and sex-specific proportion of suicide deaths in this survey to the 2010 UN estimates of absolute numbers of deaths in India to estimate the number of suicide deaths in India in 2010.FindingsAbout 3% of the surveyed deaths (2684 of 95,335) in individuals aged 15 years or older were due to suicide, corresponding to about 187,000 suicide deaths in India in 2010 at these ages (115,000 men and 72,000 women; age-standardised rates per 100,000 people aged 15 years or older of 26·3 for men and 17·5 for women). For suicide deaths at ages 15 years or older, 40% of suicide deaths in men (45,100 of 114,800) and 56% of suicide deaths in women (40,500 of 72,100) occurred at ages 15-29 years. A 15-year-old individual in India had a cumulative risk of about 1·3% of dying before the age of 80 years by suicide; men had a higher risk (1·7%) than did women (1·0%), with especially high risks in south India (3·5% in men and 1·8% in women). About half of suicide deaths were due to poisoning (mainly ingestions of pesticides).InterpretationSuicide death rates in India are among the highest in the world. A large proportion of adult suicide deaths occur between the ages of 15 years and 29 years, especially in women. Public health interventions such as restrictions in access to pesticides might prevent many suicide deaths in India.FundingUS National Institutes of Health.

Project description:BackgroundFood insecurity, limited or uncertain access to enough food for an active, healthy life, affected over 37 million Americans in 2018. Food insecurity is likely to be associated with worse health-related quality of life (HRQoL), but this association has not been measured with validated instruments in nationally representative samples. Given growing interest understanding food insecurity's role in health outcomes, it would be useful to learn what HRQoL measures best capture the experience of those with food insecurity.ObjectiveTo determine the association between food insecurity and several validated HRQoL instruments in US adults.DesignCross-sectional.ParticipantsUS adults (age ≥ 18), weighted to be nationally representative.Main measuresFood insecurity was assessed with three items derived from the USDA Household Food Security Survey Module. HRQoL was assessed using PROMIS-Preference (PROPr), which contains 7 PROMIS domains, self-rated health (SRH), Euroqol-5D-5L (EQ-5D), Health Utilities Index (HUI), and Short Form-6D (SF-6D).Key resultsIn December 2017, 4142 individuals completed at least part of the survey (31% response rate), of whom 4060 (98.0%) reported food security information. Of survey respondents, 51.7% were women, 12.5% self-identified as black, 15.8% were Hispanic, and 11.0% did not have a high school diploma. 14.1% of respondents reported food insecurity. In adjusted analyses, food insecurity was associated with worse HRQoL across all instruments and PROMIS domains (p < .0001 for all). The magnitude of the difference between food-insecure and food-secure participants was largest with the SF-6D, EQ-5D, and PROPr; among individual PROMIS domain scores, the largest difference was for ability to participate in social roles.ConclusionsFood insecurity is strongly associated with worse HRQoL, with differences between food-secure and food-insecure individuals best measured using the SF-6D, EQ-5D, and PROPr. Future work should develop a specific instrument to measure changes in HRQoL in food insecurity interventions.

Dataset Information

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets