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Open Access Publications from the University of California

Scholarly Works (50 results)

  • Article
  • Peer Reviewed
UC San Francisco Previously Published Works (2022)

Introduction: Previous research quantifying the relationship between tobacco use and food insecurity has focused on cigarette smoking. E-cigarette use has become popular in recent years. Drawing on large, population-based survey data, this study augments the previous research, considering the association of e-cigarette use with food insecurity among low-income adults.

Methods: We analysed data from the California Health Interview Survey in 2014-2019. The study sample consisted of 25 948 respondents aged 18-64 who lived in low-income (<200% of the Federal Poverty Level) households. Multivariable logistic regression models were estimated to examine the associations of e-cigarette use as well as dual use of e-cigarettes and cigarettes with food insecurity.

Results: Of California low-income adults, 6.4% identified as current e-cigarette users (3.0% dual users of e-cigarettes and cigarettes, and 3.4% sole e-cigarette users) and 43.0% reported food insecurity. After controlling for confounding factors, food insecurity was significantly more likely to be reported among current e-cigarette users (adjusted OR (AOR)=1.67; 95% CI 1.25 to 2.23) compared with never e-cigarette users, and among dual users (AOR=2.21; 95% CI 1.63 to 3.00), current sole e-cigarette users (AOR=1.66; 95% CI 1.15 to 2.40), and current sole cigarette smokers (AOR=1.46; 95% CI 1.22 to 1.76) compared with never tobacco users. The odds of food insecurity among dual users were significantly greater than sole cigarette smokers but not statistically different from sole e-cigarette users.

Conclusions: Using e-cigarette is an associated risk factor for food insecurity among low-income adults. Dual use of e-cigarettes and cigarettes has a significantly greater risk of food insecurity compared with smoking cigarettes alone.

    Cover page: Association between e-cigarette use and food insecurity among low-income adults
    • Article
    • Peer Reviewed
    UC San Francisco Previously Published Works (2014)

    Background

    Children exposed to secondhand smoke (SHS) have higher rates of behavioral and cognitive effects, including attention deficit hyperactivity disorder (ADHD), but the costs to the health care and education systems have not been estimated. We estimate these costs for school-aged children aged 5-15.

    Methods

    The relative risk (RR) of ADHD from SHS exposure was obtained from our previous work. SHS exposure was measured using 2 alternative approaches--reported exposure and serum cotinine-measured exposure. RRs and SHS exposure were used to determine the number of children with SHS-attributable ADHD, and mean costs of ADHD-related health care and education services were applied to obtain SHS-attributable health care and education costs.

    Results

    Annual health care costs of SHS-attributable ADHD ranged from $644 million (using reported SHS exposure) to $2.05 billion (using cotinine-measured exposure). SHS-attributable costs to the education system ranged from $2.90 to $9.23 billion.

    Conclusions

    The costs of SHS-attributable ADHD to the education system may total more than 4 times the costs for health care. The huge economic impact of SHS exposure on the education system has not been documented previously, and suggests that reducing childhood exposure to tobacco smoke will release substantial funds that could be used for general education of all children.
      Cover page: Childhood Secondhand Smoke Exposure and ADHD‐Attributable Costs to the Health and Education System
      • Article
      • Peer Reviewed
      UC San Francisco Previously Published Works (2009)
      This study presents self-reported and serum cotinine measures of exposure to secondhand smoke (SHS) for nonsmoking children, adolescents, and adults. Estimates are disaggregated by time periods and sociodemographic characteristics based on analyses of the 1999-2006 National Health and Nutrition Examination Survey. Self-reported exposure rates are found to be highest for children, followed by adolescents and adults. Important differences in exposure are found by socioeconomic characteristics. Using serum cotinine to measure exposure yields much higher prevalence rates than self-reports. Rates of SHS exposure remain high, but cotinine levels are declining for most groups.
        Cover page: Who Is Exposed to Secondhand Smoke? Self-Reported and Serum Cotinine Measured Exposure in the U.S., 1999–2006
        • Article
        • Peer Reviewed
        UC San Francisco Previously Published Works (2015)

        Objective

        Healthcare and mortality costs of secondhand smoke (SHS) exposure at home among non-smokers in California were estimated for the year 2009.

        Methods

        Costs were estimated with an epidemiological model using California SHS home exposure rates and published relative risks. Healthcare costs included nine conditions, and mortality was estimated for four perinatal and three adult conditions. Three mortality-related measures were estimated: deaths, years of potential life lost (YPLL) and the value of lost productivity.

        Results

        SHS-attributable healthcare costs totalled over $241 million. The most costly conditions for children and adolescents were attention deficit hyperactivity disorder ($7.8 million) and middle ear disease ($5.6 million). For adults, the most costly conditions were ischaemic heart disease (IHD) ($130.0 million) and asthma ($67.4 million). Deaths of 821 Californians were attributable to SHS exposure in the home, including 27 infants whose mothers smoked while pregnant and 700 adults who died from IHD. These deaths represented a loss of over 13 000 YPLL and $119 million in lost productivity.

        Conclusions

        The economic impact of SHS exposure in the home totalled $360 million in California in 2009. Policies that reduce exposure to SHS at home have great potential for reducing healthcare and mortality costs.
          Cover page: The cost of secondhand smoke exposure at home in California
          • Article
          • Peer Reviewed
          UC San Francisco Previously Published Works (2015)
          Public health education efforts continue to encourage people to adopt voluntary smoking bans at home; nonetheless, the home remains a place where many people are exposed to secondhand smoke (SHS). Little is known about how SHS exposure in the home differs between adults residing in multiunit housing (MUH) and those residing in single family housing (SFH). This study (1) compared the socio-demographic characteristics, chronic disease conditions, and smoking status of adults living in MUH with those living in SFH, (2) assessed the correlates of living in MUH for adults, and (3) evaluated the association of residency in MUH and SFH with the odds of being exposed to SHS at home using population-based survey data of California adults. Smoking prevalence was significantly higher among MUH residents than SFH residents. The adjusted odds of exposure to SHS at home were 32 % higher for MUH smokers than SFH smokers but were not significantly different for non-smokers. This study presents evidence that there are significant socio-demographic differences between MUH residents and SFH residents and that MUH smokers have higher rates of exposure to SHS at home than SFH smokers after adjusting for other covariates. To reduce home exposure to SHS among MUH residents, it is important to adopt tobacco control policies that are aimed at reducing SHS exposure in and around MUH and at reducing cigarette smoking among current smokers in MUH.
            Cover page: Home Exposure to Secondhand Smoke among People Living in Multiunit Housing and Single Family Housing: a Study of California Adults, 2003–2012
            • Article
            • Peer Reviewed
            UC San Francisco Previously Published Works (2016)

            Introduction

            The economic impact of smoking, including healthcare costs and the value of lost productivity due to illness and mortality, was estimated for California for 2009.

            Methods

            Smoking-attributable healthcare costs were estimated using a series of econometric models that estimate expenditures for hospital care, ambulatory care, prescriptions, home health care, and nursing home care. Lost productivity due to illness was estimated using an econometric model predicting how smoking status affects the number of days lost from work or other activities. The value of lives lost from premature mortality due to smoking was estimated using an epidemiological approach.

            Results

            Almost 4 million Californians still smoke, including 146 000 adolescents. The cost of smoking in 2009 totaled $18.1 billion, including $9.8 billion in healthcare costs, $1.4 billion in lost productivity from illness, and $6.8 billion in lost productivity from premature mortality. This amounts to $487 per California resident and $4603 per smoker. Costs were greater for men than for women. Hospital costs comprised 44% of healthcare costs.

            Conclusions

            Despite extensive efforts at tobacco control in California, healthcare and lost productivity costs attributable to smoking remain high. Compared to costs for 1999, the total cost was 15% greater in 2009. However, after adjusting for inflation, real costs have fallen by 13% over the past decade, indicating that efforts have been successful in reducing the economic burden of smoking in the state.
              Cover page: The Cost of Smoking in California
              • Article
              • Peer Reviewed
              UC San Francisco Previously Published Works (2016)

              Objectives

              To examine the prevalence and correlates of smoking cessation and receiving professional cessation advice among older smokers in Taiwan.

              Methods

              Cross-sectional data from the 2008-2010 and 2012 Taiwan Adult Smoking Behavior Survey was used to form a sample of 4081 recent active smokers aged 50+, comprising current smokers and former smokers who quit smoking within the past 12months. We examined three outcome variables: quit attempt in the past 12months, successful cessation for at least 3months, and receipt of health professional cessation advice. Multivariate logistic regressions were used to identify significant correlates.

              Results

              During the study period, the annual quit attempt rate was 41.4%, annual successful cessation rate was 4.7%, and prevalence of receiving cession advice among smokers who visited health professionals within the past 12months was 72.3%. After controlling for other covariates, quit attempts were significantly higher in 2009 and positively associated with higher education, poorer health status, smoke-free homes, and receipt of cessation advice. Successful cessation was significantly higher in 2009, positively associated with older age, higher income, and smoke-free homes, and negatively associated with receiving cessation advice. Receipt of cessation advice was significantly lower in 2010 and 2012, positively associated with male gender, older age, and poorer health status, and negatively associated with higher education.

              Conclusions

              Our results suggest that targeting lower educated and lower income subgroups, adopting effective strategies to increase voluntary smoke-free home rules, and improving professional cessation advice will have great potential to further reduce smoking prevalence in older smokers.
                • Article
                • Peer Reviewed
                UC San Francisco Previously Published Works (2016)

                Objectives

                To determine smoking prevalence, smoking behavior, and secondhand smoke (SHS) exposure of lesbian, gay, and bisexual (LGB)-identified Californians; compare these with that of heterosexuals; and analyze changes over time.

                Methods

                We analyzed self-reported variables from 111 965 heterosexual, 1667 lesbian, and 1706 bisexual women, and 79 881 heterosexual, 2505 gay, and 911 bisexual men, aged 18 to 70 years, in the 2003-2013 California Health Interview Surveys.

                Results

                Sexual minority women had higher smoking prevalence, and female bisexual smokers were less likely to be light smokers, than heterosexuals. Smoking prevalence was higher among sexual minority men, and gay smokers were more likely to be daily smokers than were heterosexuals; and male bisexual smokers were more likely to be light smokers than were gay or heterosexual smokers. Sexual minority adults were more likely to have SHS exposure at home than were heterosexuals. Current smoking prevalence decreased annually 4% and 7% for lesbian and bisexual women, and 5% and 6% for gay and bisexual men, respectively. Exposure to SHS fell an average of 11% annually for sexual minority men and women.

                Conclusions

                Sexual identity disparities in smoking and SHS exposure exist in California, with bisexuals particularly at risk.
                  Cover page: Sexual Identity Disparities in Smoking and Secondhand Smoke Exposure in California: 2003-2013.
                  • Article
                  • Peer Reviewed
                  Other Recent Work (1992)
                    Cover page: A Dynamic Simultaneous-Equations Model for Cigarette Consumption in the Western States
                    • Article
                    • Peer Reviewed
                    UC San Francisco Previously Published Works (2024)

                    Aims

                    To examine the relationship between changes in electronic cigarette (e-cigarette) use and subsequent cigarette smoking cessation.

                    Methods

                    Using data from the Population Assessment of Tobacco and Health Study (wave 1-wave 4), we analysed a study cohort of 3014 current adult cigarette smokers at wave 1 who tried to quit during the past 12 months. We categorised changes in e-cigarette use from wave 1 to wave 2 as: daily initiation, non-daily initiation, increase to daily use, increase to non-daily use, stable daily use, stable non-daily use, decrease from daily use, quit non-daily use and non-use. We estimated multivariable logistic regressions on short-term (≥1 month and <12 months) cigarette smoking cessation at wave 3 and long-term (≥12 months) cigarette smoking cessation at wave 4. We conducted sensitivity analyses using alternative study cohorts.

                    Results

                    Among the study cohort, 2.4% initiated daily, 7.5% initiated non-daily, 1.0% increased to daily, 1.4% increased to non-daily, 1.5% maintained daily, 3.0% maintained non-daily, 2.4% decreased from daily and 3.8% quit non-daily e-cigarette use between waves 1 and 2; 7.9% and 6.9% reported short-term and long-term cigarette smoking cessation. 15.1% of short-term and 16.3% of long-term cigarette quitters used e-cigarettes. Compared with non-users, smokers who initiated daily, increased to daily or quit non-daily e-cigarette use between waves 1 and 2 had higher odds of short-term cigarette smoking cessation at wave 3. These results are robust to different study cohort specifications.

                    Conclusion

                    The findings suggest a complex relationship between changes in e-cigarette use and subsequent cigarette smoking cessation.
                      Cover page: Changes in e-cigarette use and subsequent cigarette smoking cessation in the USA: evidence from a prospective PATH study, 2013–2018
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