Screening for lung cancer: 2023 guideline update from the American Cancer Society.

Lung cancer is the leading cause of mortality and person-years of life lost from cancer among US men and women. Early detection has been shown to be associated with reduced lung cancer mortality. Our objective was to update the American Cancer Society (ACS) 2013 lung cancer screening (LCS) guideline for adults at high risk for lung cancer. The guideline is intended to provide guidance for screening to health care providers and their patients who are at high risk for lung cancer due to a history of smoking. The ACS Guideline Development Group (GDG) utilized a systematic review of the LCS literature commissioned for the US Preventive Services Task Force 2021 LCS recommendation update; a second systematic review of lung cancer risk associated with years since quitting smoking (YSQ); literature published since 2021; two Cancer Intervention and Surveillance Modeling Network-validated lung cancer models to assess the benefits and harms of screening; an epidemiologic and modeling analysis examining the effect of YSQ and aging on lung cancer risk; and an updated analysis of benefit-to-radiation-risk ratios from LCS and follow-up examinations. The GDG also examined disease burden data from the National Cancer Institute's Surveillance, Epidemiology, and End Results program. Formulation of recommendations was based on the quality of the evidence and judgment (incorporating values and preferences) about the balance of benefits and harms. The GDG judged that the overall evidence was moderate and sufficient to support a strong recommendation for screening individuals who meet the eligibility criteria. LCS in men and women aged 50-80 years is associated with a reduction in lung cancer deaths across a range of study designs, and inferential evidence supports LCS for men and women older than 80 years who are in good health. The ACS recommends annual LCS with low-dose computed tomography for asymptomatic individuals aged 50-80 years who currently smoke or formerly smoked and have a ≥20 pack-year smoking history (strong recommendation, moderate quality of evidence). Before the decision is made to initiate LCS, individuals should engage in a shared decision-making discussion with a qualified health professional. For individuals who formerly smoked, the number of YSQ is not an eligibility criterion to begin or to stop screening. Individuals who currently smoke should receive counseling to quit and be connected to cessation resources. Individuals with comorbid conditions that substantially limit life expectancy should not be screened. These recommendations should be considered by health care providers and adults at high risk for lung cancer in discussions about LCS. If fully implemented, these recommendations have a high likelihood of significantly reducing death and suffering from lung cancer in the United States.

Factors associated with COVID-19-related death using OpenSAFELY.

Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide1. There is unprecedented urgency to understand who is most at risk of severe outcomes, and this requires new approaches for the timely analysis of large datasets. Working on behalf of NHS England, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in England and holds patient data within the existing data centre of a major vendor of primary care electronic health records. Here we used OpenSAFELY to examine factors associated with COVID-19-related death. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59 (95% confidence interval 1.53-1.65)); greater age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors (HR 1.48 (1.29-1.69) and 1.45 (1.32-1.58), respectively). We have quantified a range of clinical factors associated with COVID-19-related death in one of the largest cohort studies on this topic so far. More patient records are rapidly being added to OpenSAFELY, we will update and extend our results regularly.

Comparative Discrimination of Life's Simple 7 and Life's Essential 8 to Stratify Cardiovascular Risk: Is the Added Complexity Worth It?

BACKGROUND: Life's Simple 7 (LS7) is an easily calculated and interpreted metric of cardiovascular health based on 7 domains: smoking, diet, physical activity, body mass index, blood pressure, cholesterol, and fasting glucose. The Life's Essential 8 (LE8) metric was subsequently introduced, adding sleep metrics and revisions of the previous 7 domains. Although calculating LE8 requires additional information, we hypothesized that it would be a more reliable index of cardiovascular health. METHODS: Both the LS7 and LE8 metrics yield scores with higher values indicating lower risk. These were calculated among 11 609 Black and White participants free of baseline cardiovascular disease (CVD) in the Reasons for Geographic and Racial Differences in Stroke study, enrolled in 2003 to 2007, and followed for a median of 13 years. Differences in 10-year risk of incident CVD (coronary heart disease or stroke) were calculated as a function LS7, and LE8 scores were calculated using Kaplan-Meier and proportional hazards analyses. Differences in incident CVD discrimination were quantified by difference in the c-statistic. RESULTS: For both LS7 and LE8, the 10-year risk was approximately 5% for participants around the 99th percentile of scores, and a 4× higher 20% risk for participants around the first percentile. Comparing LS7 to LE8, 10-year risk was nearly identical for individuals at the same relative position in score distribution. For example, the "cluster" of 2013 participants with an LS7 score of 7 was at the 35.8th percentile in distribution of LS7 scores, and had an estimated 10-year CVD risk of 8.4% (95% CI, 7.2%-9.8%). In a similar location in the LE8 distribution, the 1457 participants with an LE8 score of 60±2.5 at the 39.4th percentile of LE8 scores had a 10-year risk of CVD of 8.5% (95% CI, 7.1%-10.1%), similar to the cluster defined by LS7. The age-race-sex adjusted c-statistic of the LS7 model was 0.691 (95% CI, 0.667-0.705), and 0.695 for LE8 (95% CI, 0.681-0.709) (P for difference, 0.12). CONCLUSIONS: Both LS7 and LE8 were associated with incident CVD, with discrimination of the 2 indices practically indistinguishable. As a simpler metric, LS7 may be favored for use by the general population and clinicians.

Composite healthy lifestyle, socioeconomic deprivation, and mental well-being during the COVID-19 pandemic: a prospective analysis.

The adverse psychological and social impacts of COVID-19 pandemic are well characterized, but the role of composite, modifiable lifestyle factors that may interact to mitigate these impacts is not. The effect of socioeconomic deprivation on these lifestyle risks also remains unclear. Based on a nationally representative, longitudinal cohort, we assessed the association between a combination of pre-pandemic lifestyle factors and mental health conditions during pandemic, and the contribution of deprivation to it. Composite lifestyle factors included BMI, smoking status, alcohol consumption, physical activity, sedentary time, sleep duration, and fruit and vegetable intake, with lifestyle scores and lifestyle categories calculated for each participant. Symptoms of depression and anxiety, and personal well-being were assessed by validated scales during the pandemic. Socioeconomic deprivation was characterized by both individual-level (income, wealth, and education) and group-level factors (Index of Multiple Deprivation). Of the 5049 eligible participants (mean [SD] age, 68.1 [10.9] years; 57.2% were female) included in the study, 41.6% followed a favorable lifestyle, 48.9% followed an intermediate lifestyle, and 9.5% followed an unfavorable lifestyle. Compared with favorable lifestyle category, participants in the intermediate and unfavorable lifestyle category were at increased risk of mental health conditions, with the hazard ratio (HR) for trend per increment change towards unfavorable category of 1.17 (95% CI 1.09-1.26) for depression, 1.23 (1.07-1.42) for anxiety, and 1.39 (1.20-1.61) for low well-being. A significant trend of lower risk for mental health conditions with increasing number of healthy lifestyle factors was observed (P < 0.001 for trend). There were no significant interactions between lifestyle factors and socioeconomic deprivation for any of the outcomes, with similar HRs for trend per one increment change in lifestyle category observed in each deprivation group. Compared with those in the least deprived group with favorable lifestyle, participants in the most deprived group adherent to unfavorable lifestyle had the highest risk of mental health outcomes. These results suggest that adherence to a broad combination of healthy lifestyle factors was associated with a significantly reduced risk of mental health conditions during the COVID-19 pandemic. Lifestyle factors, in conjunction with socioeconomic deprivation, independently contribute to the risk of mental health issues. Although further research is needed to assess causality, the current findings support public health strategies and individual-level interventions that provide enhanced support in areas of deprivation and target multiple lifestyle factors to reduce health inequalities and promote mental well-being during the ongoing COVID-19 pandemic.

Who's still smoking? Disparities in adult cigarette smoking prevalence in the United States.

The continuing high prevalence of cigarette smoking among specific subpopulations, many of them vulnerable, is one of the most pressing challenges facing the tobacco control community. These populations include individuals in lower education and/or socioeconomic groups; from certain racial/ethnic groups; in the lesbian, gay, bisexual, and transgender community; with mental illness; and in the military, particularly among those in the lowest pay grades. Although traditional tobacco control measures are having positive health effects for most groups, the effects are not sufficient for others. More attention to and support for promising novel interventions, in addition to new attempts at reaching these populations through conventional interventions that have proven to be effective, are crucial going forward to find new ways to address these disparities. CA Cancer J Clin 2018;68:106-115. © 2018 American Cancer Society.

An assessment of progress in cancer control.

This article summarizes cancer mortality trends and disparities based on data from the National Center for Health Statistics. It is the first in a series of articles that will describe the American Cancer Society's vision for how cancer prevention, early detection, and treatment can be transformed to lower the cancer burden in the United States, and sets the stage for a national cancer control plan, or blueprint, for the American Cancer Society goals for reducing cancer mortality by the year 2035. Although steady progress in reducing cancer mortality has been made over the past few decades, it is clear that much more could, and should, be done to save lives through the comprehensive application of currently available evidence-based public health and clinical interventions to all segments of the population. CA Cancer J Clin 2018;000:000-000. © 2018 American Cancer Society.

The Association between Bronchiectasis and Chronic Obstructive Pulmonary Disease: Data from the European Bronchiectasis Registry (EMBARC).

Rationale: COPD and bronchiectasis are commonly reported together. Studies report varying impacts of co-diagnosis on outcomes, which may be related to different definitions of disease used across studies. Objectives: To investigate the prevalence of chronic obstructive pulmonary disease (COPD) associated with bronchiectasis and its relationship with clinical outcomes. We further investigated the impact of implementing the standardized ROSE criteria (radiological bronchiectasis [R], obstruction [FEV1/FVC ratio <0.7; O], symptoms [S], and exposure [⩾10 pack-years of smoking; E]), an objective definition of the association of bronchiectasis with COPD. Methods: Analysis of the EMBARC (European Bronchiectasis Registry), a prospective observational study of patients with computed tomography-confirmed bronchiectasis from 28 countries. The ROSE criteria were used to objectively define the association of bronchiectasis with COPD. Key outcomes during a maximum of 5 years of follow-up were exacerbations, hospitalization, and mortality. Measurements and Main Results: A total of 16,730 patients with bronchiectasis were included; 4,336 had a clinician-assigned codiagnosis of COPD, and these patients had more exacerbations, worse quality of life, and higher severity scores. We observed marked overdiagnosis of COPD: 22.2% of patients with a diagnosis of COPD did not have airflow obstruction and 31.9% did not have a history of ⩾10 pack-years of smoking. Therefore, 2,157 patients (55.4%) met the ROSE criteria for COPD. Compared with patients without COPD, patients who met the ROSE criteria had increased risks of exacerbations and exacerbations resulting in hospitalization during follow-up (incidence rate ratio, 1.25; 95% confidence interval, 1.15-1.35; vs. incidence rate ratio, 1.69; 95% confidence interval, 1.51-1.90, respectively). Conclusions: The label of COPD is often applied to patients with bronchiectasis who do not have objective evidence of airflow obstruction or a smoking history. Patients with a clinical label of COPD have worse clinical outcomes.

Risk Factors for Intracerebral Hemorrhage: Genome-Wide Association Study and Mendelian Randomization Analyses.

BACKGROUND: The genetic and nongenetic causes of intracerebral hemorrhage (ICH) remain obscure. The present study aimed to uncover the genetic and modifiable risk factors for ICH. METHODS: We meta-analyzed genome-wide association study data from 3 European biobanks, involving 7605 ICH cases and 711 818 noncases, to identify the genomic loci linked to ICH. To uncover the potential causal associations of cardiometabolic and lifestyle factors with ICH, we performed Mendelian randomization analyses using genetic instruments identified in previous genome-wide association studies of the exposures and ICH data from the present genome-wide association study meta-analysis. We performed multivariable Mendelian randomization analyses to examine the independent associations of the identified risk factors with ICH and evaluate potential mediating pathways. RESULTS: We identified 1 ICH risk locus, located at the APOE genomic region. The lead variant in this locus was rs429358 (chr19:45411941), which was associated with an odds ratio of ICH of 1.17 (95% CI, 1.11-1.20; P=6.01×10-11) per C allele. Genetically predicted higher levels of body mass index, visceral adiposity, diastolic blood pressure, systolic blood pressure, and lifetime smoking index, as well as genetic liability to type 2 diabetes, were associated with higher odds of ICH after multiple testing corrections. Additionally, a genetic increase in waist-to-hip ratio and liability to smoking initiation were consistently associated with ICH, albeit at the nominal significance level (P<0.05). Multivariable Mendelian randomization analysis showed that the association between body mass index and ICH was attenuated on adjustment for type 2 diabetes and further that type 2 diabetes may be a mediator of the body mass index-ICH relationship. CONCLUSIONS: Our findings indicate that the APOE locus contributes to ICH genetic susceptibility in European populations. Excess adiposity, elevated blood pressure, type 2 diabetes, and smoking were identified as the chief modifiable cardiometabolic and lifestyle factors for ICH.

Time trends of 16 modifiable risk factors on the burden of major cancers among the Chinese population.

The cancer burden in China is increasing. We aimed to assess the time trends in the prevalence of 16 modifiable risk factors involved in lifestyle, diet, infection, and air pollution between 1997 and 2025 based on the China Health and Nutrition Survey, the Global Burden of Disease website, and publically available studies. The population attributable fraction (PAF) and its 95% uncertainty interval (UI) from 2007 to 2035 were calculated to quantify the attributable cancer burden in major 12 anatomic sites using the comparative risk assessment method, considering a 10-year lag effect. As a result, 1,559,476 cancer cases (PAF = 54.1%, 95% UI: 36.8%-65.8%) from the 12 anatomic sites were attributable to these modifiable risk factors in 2007, with lung, liver, and gastric cancer raging the top three. It was predicted that by 2035, the attributable cancer cases would reach 1,680,098 (PAF = 44.2%, 95% UI: 29.1%-55.5%), with the top three of lung, liver, and colorectal cancer. Smoking, physical inactivity, insufficient fruit consumption, HBV infection, and Helicobacter pylori infection were the most attributable risk factors in 2007, contributing to 480,352, 233,684, 215,009, 214,455, and 187,305 associated cancer cases, respectively. In 2035, the leading factors for cancer would be smoking, physical inactivity, insufficient fruit intake, HPV infection, and HBV infection, resulting in 427,445, 424,327, 185,144, 156,535, and 154,368 cancer cases, respectively. Intervention strategies should be swiftly established and dynamically altered in response to risk factors like smoking, physical inactivity, poor fruit intake, and infectious factors that may cause a high cancer burden in the Chinese population.

Development and evaluation of a polygenic risk score for lung cancer in never-smoking women: A large-scale prospective Chinese cohort study.

The proportion of lung cancer in never smokers is rising, especially among Asian women, but there is no effective early detection tool. Here, we developed a polygenic risk score (PRS), which may help to identify the population with higher risk of lung cancer in never-smoking women. We first performed a large GWAS meta-analysis (8595 cases and 8275 controls) to systematically identify the susceptibility loci for lung cancer in never-smoking Asian women and then generated a PRS using GWAS datasets. Furthermore, we evaluated the utility and effectiveness of PRS in an independent Chinese prospective cohort comprising 55 266 individuals. The GWAS meta-analysis identified eight known loci and a novel locus (5q11.2) at the genome-wide statistical significance level of P < 5 × 10-8 . Based on the summary statistics of GWAS, we derived a polygenic risk score including 21 variants (PRS-21) for lung cancer in never-smoking women. Furthermore, PRS-21 had a hazard ratio (HR) per SD of 1.29 (95% CI = 1.18-1.41) in the prospective cohort. Compared with participants who had a low genetic risk, those with an intermediate (HR = 1.32, 95% CI: 1.00-1.72) and high (HR = 2.09, 95% CI: 1.56-2.80) genetic risk had a significantly higher risk of incident lung cancer. The addition of PRS-21 to the conventional risk model yielded a modest significant improvement in AUC (0.697 to 0.711) and net reclassification improvement (24.2%). The GWAS-derived PRS-21 significantly improves the risk stratification and prediction accuracy for incident lung cancer in never-smoking Asian women, demonstrating the potential for identification of high-risk individuals and early screening.

Combined effects of smoking and alcohol consumption on the risk of liver cancer according to metabolic syndrome: A nested case-control study in South Korea.

Tobacco and alcohol may interact to increase the risk of liver cancer, which might be modified by other risk factors. Their combined effects in the context of metabolic syndrome (MetS) remain unclear. Given the increasing prevalence of MetS, this nested case-control study was conducted to evaluate the combined effects of smoking and alcohol consumption on liver cancer risk with stratification by MetS. We included 15,352 liver cancer patients and 92,112 matched controls who attended the nationwide general health examination during 2009-2019, using a customized database (N = 5,545,835) from the Korean National Health Insurance Service. Liver cancer risk according to smoking and alcohol consumption was estimated using conditional multivariable logistic regression. Additive and multiplicative interactions between these two factors were assessed. Results showed that in men, dual current users were at a significantly higher risk of liver cancer compared with dual nonusers, adjusted odds ratio (aOR) = 1.61, 95% confidence interval: (1.50, 1.72). Interactions were detected between light-to-moderate alcohol consumption (0.1-28 g/day) and heavy smoking (>20 pack-years) on additive scale, relative excess risk due to interaction = 0.34 (0.16, 0.51), attributable proportion = 0.22 (0.11, 0.33), synergy index = 2.75 (1.85, 3.66), and multiplicative scale, aOR for the product term = 1.28 (1.11, 1.49). An additive interaction was also revealed between light-to-moderate drinking and light-to-moderate smoking in the MetS subgroup. In women, light-to-moderate drinking/nonsmoking was negatively associated with the risk in the non-MetS subgroup. In conclusion, a holistic health promotion program should target male dual users of tobacco cigarettes and alcohol, including light-to-moderate users, especially those with MetS.

Does Tobacco Smoking Increase Social Isolation? A Mendelian Randomization Study.

In this study, we aimed to investigate the causal effect of smoking on social isolation among older adults in England. Data from older adults of European ancestry who participated in 1 or more waves of the English Longitudinal Study of Ageing, from wave 1 (2002/2003) to wave 9 (2018/2019), were analyzed (n = 43,687 observations from 7,008 individuals; mean age = 68.50 years). The effect of current smoking on social isolation (ranging from 0 to 5) was estimated by 2-stage least squares regression using a polygenic score (PGS) for smoking cessation as the instrument. A low PGS for smoking cessation predicted current smoking (per 1-standard-deviation lower PGS, coefficient = 0.023, 95% confidence interval (CI): 0.015, 0.030; F = 36.420). The second-stage regression showed that current smoking increased social isolation by 1.205 points (95% CI: 0.308, 2.101). The association was larger for persons with higher socioeconomic backgrounds: 2.501 (95% CI: -0.024, 5.026) and 0.696 (95% CI: -0.294, 1.686) for those with higher and lower educational levels, respectively. This study showed that current smoking instrumented by a PGS for smoking cessation was associated with social isolation. Assuming that the PGS served as a valid instrument in this study, the findings support an effect of smoking on social isolation.

Multigenerational association between smoking and autism spectrum disorder: findings from a nationwide prospective cohort study.

Animal studies have shown that exposure to cigarette smoke during pregnancy can induce neurobehavioral anomalies in multiple subsequent generations. However, little work has examined such effects in humans. We examined the risk of grandchild autism spectrum disorder (ASD) in association with grandmother's smoking during pregnancy, using data from 53 562 mothers and grandmothers and 120 267 grandchildren in Nurses' Health Study II. In 1999, Nurses' Health Study II participants with children reported on their mothers' smoking. Grandchildren's ASD diagnoses were reported by the mothers in 2005 and 2009. Among grandmothers, 13 383 (25.0%) smoked during pregnancy, and 509 (0.4%) grandchildren were diagnosed with ASD. The adjusted odds ratio for ASD for grandmother smoking during pregnancy was 1.52 (95% CI, 1.06-2.20). Results were similar with direct grandmother reporting in 2001 of her smoking during pregnancy from the Nurses' Mothers Cohort Study subgroup (n = 22 167 grandmothers, n = 49 917 grandchildren) and were stronger among grandmothers who smoked ≥15 cigarettes per day during pregnancy (adjusted odds ratio = 1.93 [95% CI, 1.10-3.40]; n = 1895 grandmothers, n = 4212 grandchildren). Results were similar when we adjusted for mother's smoking during pregnancy. There was no association with grandfather's smoking as reported by the grandmother. Our results suggest a potential persistent impact of gestational exposure to environmental insults across 3 generations.

Estimating disparities of prostate cancer burden and its attributable risk factors for males across the BRICS-plus, 1990-2019: A comparable study of key nations with emerging economies.

BACKGROUNDS: The study aimed to analyze epidemiology burden of male prostate cancer across the BRICS-plus, and identify potential risk factors by assessing the associations with age, period, birth cohorts and sociodemographic index (SDI). METHODS: Data were extracted from the Global Burden of Disease Study 2019. The average annual percent change (AAPC) was calculated to assess long-term trends, and age-period-cohort analysis was used to analyze these three effects on prostate cancer burden. Quantile regression was used to investigate the association between SDI and health outcomes. RESULTS: The higher incidence and mortality were observed in Mercosur and SACU regions, increasing trends were observed in prostate cancer incidence in almost all BRICS-plus countries (AAPC > 0), and EEU's grew by 24.31% (%AAPC range: -0.13-3.03). Mortality had increased in more than half of countries (AAPC > 0), and SACU grew by 1.82% (%AAPC range: 0.62-1.75). Incidence and mortality risk sharply increased with age across all BRICS-plus countries and globally, and the peak was reached in the age group 80-84 years. Rate ratio (RR) of incidence increased with birth cohorts in all BRICS-plus countries except for Kazakhstan where slightly decrease, while mortality RR decreased with birth cohort in most of BRICS-plus countries. SDI presented significantly positive associations with incidence in 50 percentiles. The deaths attributable to smoking declined in most of BRICS-plus nations, and many countries in China-ASEAN-FTA and EEU had higher values. CONCLUSION: Prostate cancer posed a serious public health challenge with an increasing burden among most of BRICS-plus countries. Age had significant effects on prostate cancer burden, and recent birth cohorts suffered from higher incidence risk. SDI presented a positive relationship with incidence, and the smoking-attributable burden was tremendous in China-ASEAN-FTA and EEU region. Secondary prevention should be prioritized in BRICS-plus nations, and health policies targeting important populations should be strengthened based on their characteristics and adaptability.

Cancer in people who identify as lesbian, gay, bisexual, transgender, queer, or gender-nonconforming.

BACKGROUND: Individuals who identify as lesbian, gay, bisexual, transgender, queer, intersex, or gender-nonconforming (LGBTQ+) experience discrimination and minority stress that may lead to elevated cancer risk. METHODS: In the absence of population-based cancer occurrence information for this population, this article comprehensively examines contemporary, age-adjusted cancer risk factor and screening prevalence using data from the National Health Interview Survey, Behavioral Risk Factor Surveillance System, and National Youth Tobacco Survey, and provides a literature review of cancer incidence and barriers to care. RESULTS: Lesbian, gay, and bisexual adults are more likely to smoke cigarettes than heterosexual adults (16% compared to 12% in 2021-2022), with the largest disparity among bisexual women. For example, 34% of bisexual women aged 40-49 years and 24% of those 50 and older smoke compared to 12% and 11%, respectively, of heterosexual women. Smoking is also elevated among youth who identify as lesbian, gay, or bisexual (4%) or transgender (5%) compared to heterosexual or cisgender (1%). Excess body weight is elevated among lesbian and bisexual women (68% vs. 61% among heterosexual women), largely due to higher obesity prevalence among bisexual women (43% vs. 38% among lesbian women and 33% among heterosexual women). Bisexual women also have a higher prevalence of no leisure-time physical activity (35% vs. 28% among heterosexual women), as do transgender individuals (30%-31% vs. 21%-25% among cisgender individuals). Heavier alcohol intake among lesbian, gay, and bisexual individuals is confined to bisexual women, with 14% consuming more than 7 drinks/week versus 6% of heterosexual women. In contrast, prevalence of cancer screening and risk reducing vaccinations in LGBTQ+ individuals is similar to or higher than their heterosexual/cisgender counterparts except for lower cervical and colorectal cancer screening among transgender men. CONCLUSIONS: People within the LGBTQ+ population have a higher prevalence of smoking, obesity, and alcohol consumption compared to heterosexual and cisgender people, suggesting a higher cancer burden. Health systems have an opportunity to help inform these disparities through the routine collection of information on sexual orientation and gender identity to facilitate cancer surveillance and to mitigate them through education to increase awareness of LGBTQ+ health needs.

Unhealthy lifestyle behaviors, overweight, and obesity among childhood cancer survivors in the Netherlands: A DCCSS LATER study.

BACKGROUND: The objective of this study was to examine the prevalence of unhealthy lifestyle behaviors, overweight, and obesity in Dutch childhood cancer survivors (CCSs) compared with sibling controls and the Dutch general population. Other aims were to assess associated factors of unhealthy lifestyle behaviors, overweight, and obesity and to identify subgroups of CCSs at risk for these unhealthy statuses. METHODS: The authors included 2253 CCSs and 906 siblings from the Dutch Childhood Cancer Survivor Study-Late Effects After Childhood Cancer cohort, part 1, and added data from the Dutch general population. Questionnaire data were collected on overweight and obesity (body mass index >25.0 kg/m2), meeting physical activity guidelines (>150 minutes per week of moderate or vigorous exercises), excessive alcohol consumption (>14 and >21 alcoholic consumptions per week for women and men, respectively), daily smoking, and monthly drug use. Multivariable logistic regression analyses and two-step cluster analyses were performed to examine sociodemographic-related, health-related, cancer-related, and treatment-related associated factors of unhealthy lifestyle behaviors and to identify subgroups of CCSs at risk for multiple unhealthy behaviors. RESULTS: CCSs more often did not meet physical activity guidelines than their siblings (30.0% vs. 19.3%; p < .001). Married as marital status, lower education level, nonstudent status, and comorbidities were common associated factors for a body mass index ≥25.0 kg/m2 and insufficient physical activity, whereas male sex and lower education were shared associated factors for excessive alcohol consumption, daily smoking, and monthly drug use. A subgroup of CCSs was identified as excessive alcohol consumers, daily smokers, and monthly drug users. CONCLUSIONS: The current results emphasize the factors associated with unhealthy behaviors and the potential identification of CCSs who exhibit multiple unhealthy lifestyle behaviors.

Associations of social media use with smoking and e-cigarettes: a national longitudinal study.

BACKGROUND: Social media use is high among children and young people and might influence health behaviours. We examined social media use and use of tobacco and e-cigarettes in the UK. METHODS: We used data from participants aged 10-25 years from the UK Household Longitudinal Study (January 2015-January 2022). Participants were asked: "On a normal weekday, that is Monday to Friday, how many hours do you spend chatting or interacting with friends through a social website or app like that?". Specific social media platforms were not specified. Responses were none, less than 1 h, 1-3 h, 4-6 h, 7 h or more. Outcomes were current tobacco smoking and e-cigarette use. Generalised Estimating Equation (GEE) logistic regression models investigated associations of social media use with tobacco and e-cigarette use, and fixed effects analyses investigated changes in social media use with uptake of both products. Models included possible confounders such as age, sex, household income, ethnicity (White vs non-White) and use of tobacco or e-cigarettes by others within the home. All participants gave written informed consent. FINDINGS: The analytic sample included 10 808 participants with 27 962 observations (mean age 15·7 years [SD 3·8], 5080 [47%] male, 5728 [53%] female, and 7868 [73%] White). Current tobacco smoking was reported at one or more timepoints by 929 (8·6%) participants, and current e-cigarette use by 270 (2·5%) participants. In adjusted GEE models, all levels of social media use were associated with greater odds of current smoking than no use. This association was particularly apparent at higher levels of use adjusted odds ratio [aOR] 3·11, 95% CI 2·41-4·03 for ≥7 h use vs no use), with similar associations for e-cigarettes (aOR 3·04, 2·11-4·40 for ≥7 h use vs no use). Fixed effects analyses also found increased use of social media to be associated with increased uptake of both products (eg, changing to using social media for ≥7 h/day was associated with >2 times the odds of taking up tobacco smoking [aOR 2·33, 1·28-4·24]). INTERPRETATION: These analyses suggest an association between social media use and e-cigarette and tobacco use. Potential pathways include promotion of these products on social media. Further research with details on specific platforms would be useful as well as with longer follow-up time. FUNDING: Cancer Research UK.

Interventions to improve oral health and related health behaviours of substance use, smoking, and diet in people with severe and multiple disadvantage: a systematic review of effectiveness and cost-effectiveness.

BACKGROUND: Homelessness overlapping with substance use and offending is described as severe and multiple disadvantage (SMD). People experiencing SMD have poor oral health along with high levels of related behaviours such as substance use, smoking, and poor diet. Existing evidence largely describes the prevalence of oral health problems, substance use, and smoking in SMD groups. Little is known about interventions that can address these conditions in SMD groups. We aimed to review the effectiveness and cost-effectiveness of interventions on oral health and related health behaviours in adults experiencing SMD. METHODS: For this systematic review, we searched bibliographic databases (MEDLINE, EMBASE, PsycINFO, CINAHL, EBSCO, Scopus) and grey literature for papers published from inception to February 2023. Two researchers independently reviewed the searches. Randomised controlled trials (RCTs), comparative studies and economic evaluations were included. Risk of bias was assessed. Population included adults experiencing SMD (including homelessness and substance use or repeat offending). Outcomes included oral health, and related behaviours (substance use, smoking, poor diet). Results were narratively synthesised. This review was registered with PROSPERO, CRD42020202416. FINDINGS: The review included 38 studies (published between 1991 and 2023), with 34 reporting effectiveness. These studies comprised of 23 RCTs and 11 quasi-experimental studies conducted in the USA (25 studies), Canada (seven studies), France (one study), and Spain (one study). The interventions involving multiple components, such as housing services with substance use and mental health support, effectively reduced substance use in SMD groups; these were mostly individual-level interventions. However, these studies had short follow-up periods and high attrition rates. Only one study addressed oral health outcomes, none focused on diet, and three RCTs covered smoking, with one intervention showing smoking abstinence at 4 weeks. Some limited evidence suggested cost-effectiveness of substance use interventions. INTERPRETATION: This review found that integrating services such as housing with other health-care services together could be effective in improving health behaviours, especially substance use among SMD groups. More evidence is needed specifically on oral health, smoking, and diet-related interventions. The generalisability of findings of this review is limited to high-income countries and shorter-term outcomes. FUNDING: National Institute for Health and Care Research (NIHR) Policy Research Programme.