Social Smoking Research Articles

Personal Wellbeing Amid Pandemic Response: Impacts of Neighborhood Built Environment, Risk Communication and Health

Abstract Maintaining personal wellbeing is essential for an effective pandemic response due to its multifaceted impacts on various aspects of society. This study aimed to evaluate personal wellbeing during pandemic response and investigate the effects of built environment in neighborhoods, risk communication, and health indicators. A cross-sectional survey design was adopted. A sample with 5458 participants was collected in Hong Kong through a self-administered online survey. Personal Wellbeing Index- Adult (PWI-A) was adopted to measure personal wellbeing. This study indicated a more than 20% decrease in personal wellbeing among Hong Kong residents during the pandemic, particularly impacting future security, personal safety, and living standards. Positive influences on wellbeing included more open spaces, using more traditional information channels, seeking reliable media sources, and confidence in information seeking. Conversely, wellbeing was negatively affected by a higher percentage of public residential areas, using more new information channels, increased social media time, smoking habits and chronic health conditions. These findings provide critical insights into the diverse impacts of the pandemic on individuals and communities. They guide targeted interventions and contribute to building resilience against future crises.

Lifestyle factors associated with episodic memory in middle-aged and older adults: evidence from a 9-year longitudinal study

BackgroundEpisodic memory naturally deteriorates with age, and its deficits are widely recognized as the most significant feature and the most sensitive indicator of cognitive decline. It has been suggested that adopting a healthy lifestyle can play a protective role in preserving episodic memory. This study aimed to systematically examine the relationship between lifestyle factors (social activities, leisure activities, physical activities, internet use, smoking, alcohol drinking, and sleep quality) and episodic memory in middle-aged and older adults.MethodsThe current study included 10,392 participants from the Chinese Health and Retirement Longitudinal Survey. A linear mixed model was used to explore the associations between lifestyle factors and episodic memory performance and the age- and sex-specific effects of the association.ResultsLow-frequency alcohol drinking, higher engagement in social, leisure, and physical activities, increased internet use, and improved sleep quality were associated with better episodic memory performance in middle-aged and older adults. Stratified analyses demonstrated that internet use significantly correlated with episodic memory performance in middle-aged adults but not in older adults. On the other hand, sleep quality showed a significant association with episodic memory performance in women but not in men.ConclusionsThis study highlights the association between various lifestyle factors and episodic memory performance, with variations observed based on age and sex. Adopting healthy lifestyle factors can have positive effects on episodic memory in middle-aged adults, emphasizing the importance of adhering to healthy lifestyles from middle age onwards to counteract episodic memory decline.

Analysis of medication adherence of chronic hypertensive patients in Pakistani community via open survey method

Aim: Hypertension, a prevalent chronic condition, significantly contributes to cardiovascular diseases worldwide. Effective management of hypertension is highly dependent on patient adherence to prescribed medications, as the correct dose at the right time can lead to desirable therapeutic results. This study aims to analyze medication adherence among hypertensive patients in Islamabad and Rawalpindi through an open survey. Methods: A prospective cross-sectional study was conducted from 17th March 2024 to 30th May 2024, targeting hypertensive populations in Islamabad and Rawalpindi. 246 patients were recruited using a sample size formula, and a General Medication Adherence Scale (GMAS) questionnaire was used to collect data. All the tests were conducted as two-sided, with a significance level of P < 0.05 using Python. Results: Among 246 participants (mean age 57.1 years), most were married, literate, and living with families, 63% were from Islamabad, and 78.9% were employed. The study found high adherence in behavior-related areas but low adherence due to costs. Gender showed a statistically significant correlation (P = 0.03) by independent t-test. At the same time, ANOVA tests revealed that educational level (P = 0.02), monthly income (P = 0.001), family support (P = 0.04), and medication costs (P = 0.001) significantly impacted adherence, while factors like social status, employment status, and smoking did not have a considerable influence. Conclusions: 72.4% of patients adhered to their prescribed therapy, and 27.6% did not highlight a critical issue that requires urgent intervention. Variables like gender, educational status, social status, occupation, and living with family are strongly associated with adherence. Common problems include taking multiple medications, lack of awareness about the importance of adherence, and financial constraints.

Associations of close social connections with smoking and vaping: a population study in England.

Studies consistently demonstrate smoking is a socially contagious behaviour, but less is known about the influence of social connections on vaping. This study examined associations between having close social connections who smoke or vape and relevant smoking and vaping outcomes. This was a representative cross-sectional survey of adults (≥16y) in England. Participants (n=1,618) were asked how many people they discuss important matters with (i.e., close social connections) and how many of them smoke/vape. We tested associations between (i) smoking and (ii) vaping among close social connections and participants' own smoking and vaping status; harm perceptions of e-cigarettes (among current smokers); attempts and success in quitting smoking (among past-year smokers); and use of e-cigarettes as a smoking cessation aid (among past-year smokers who tried to quit). Adults with ≥1 close social connection who smoke were more likely than those with none to smoke themselves (32.8% vs. 9.4%; ORadj=7.23[95%CI 4.74-11.0]) and had an uncertain lower likelihood to quit (12.2% vs. 19.8%; ORadj=0.46[0.17-1.23]). Those with ≥1 close social connection who vape were more likely than those with none to vape themselves (29.6% vs. 6.3%; ORadj=5.16[3.15-8.43]) and to use e-cigarettes in their most recent attempt to quit (57.0% vs. 27.9%; ORadj=18.0[1.80-181]), and had an uncertain higher likelihood to perceive e-cigarettes as less harmful than cigarettes (30.8% vs. 12.2%; ORadj=2.37[0.82-6.90]). In England, we replicated well-established associations with smoking and found similar evidence for vaping. People were much more likely to vape and to use e-cigarettes to quit smoking if they had close social connections who vaped. The cross-sectional design means it is not clear whether smoking/vaping among close social connections influences people to smoke/vape themselves, or whether people who smoke/vape select to form close social connections with others who similarly smoke/vape. Further research is required to establish causality. If the associations we observed are causal, interventions that encourage smokers to switch to vaping may have positive spillover effects on social connections' perceptions of e-cigarettes and use of these products to support smoking cessation.

Social, Behavioral, and Clinical Risk Factors Are Associated with Clonal Hematopoiesis.

Risk factors including smoking, alcohol intake, physical activity (PA), and sleep patterns have been associated with cancer risk. Clonal hematopoiesis (CH), including mosaic chromosomal alterations and clonal hematopoiesis of indeterminate potential, is linked to increased hematopoietic cancer risk and could be used as common preclinical intermediates for the better understanding of associations of risk factors with rare hematologic malignancies. We analyzed cross-sectional data from 478,513 UK Biobank participants without hematologic malignancies using multivariable-adjusted analyses to assess the associations between lifestyle factors and CH types. Smoking was reinforced as a potent modifiable risk factor for multiple CH types, with dose-dependent relationships persisting after cessation. Males in socially deprived areas of England had a lower risk of mosaic loss of chromosome Y (mLOY), females with moderate/high alcohol consumption (2-3 drinks/day) had increased mosaic loss of the X chromosome risk [OR = 1.17; 95% confidence interval (CI), 1.09-1.25; P = 8.31 × 10-6] compared with light drinkers, active males (moderate-high PA) had elevated risks of mLOY (PA category 3: OR = 1.06; 95% CI, 1.03-1.08; P = 7.57 × 10-6), and men with high body mass index (≥40) had reduced risk of mLOY (OR = 0.57; 95% CI, 0.51-0.65; P = 3.30 × 10-20). Sensitivity analyses with body mass index adjustment attenuated the effect in the mLOY-PA associations (IPAQ2: OR = 1.03; 95% CI, 1.00-1.06; P = 2.13 × 10-2 and IPAQ3: OR = 1.03; 95% CI, 1.01-1.06; P = 7.77 × 10-3). Our study reveals associations between social deprivation, smoking, and alcohol consumption and CH risk, suggesting that these exposures could contribute to common types of CH and potentially rare hematologic cancers. This study underscores the impact of lifestyle factors on CH frequency, emphasizing social, behavioral, and clinical influences and the importance of sociobehavioral contexts when investigating CH risk factors.

Development, validity and reliability of the healthy lifestyle behavior scale

BackgroundHealthy lifestyle behaviors encompass activities aimed at promoting, maintaining, or reclaiming health. Evaluating these behaviors accurately requires comprehensive, valid, and reliable tools.AimsThis study aimed to develop the Healthy Lifestyle Behavior Scale and evaluate its psychometric properties in the Turkish population.MethodsFor this methodological research, a cross-sectional online-based survey was conducted between 21 March 2023 and 31 March 2023 among 330 participants who were recruited via convenience sampling. The initial item pool included 90 items across seven domains (exercise, health responsibility, preventive health actions, sleep, stress and social support, nutrition, smoking, and alcohol). The content validity of the scale was verified by taking expert opinions. Construct validity and reliability were assessed using principal component analysis (PCA) and Cronbach's alpha.ResultsA total of 330 people were recruited for the study (65.2% female, mean age 34.2 ± 9.4 years). The final scale comprised 34 items: 5 on exercise, 4 on health responsibility, 4 on preventive health actions, 2 on sleep, 5 on social support, 3 on stress management, 5 on nutrition, 4 on smoking and 2 on alcohol. The construct validity analysis revealed a 9-factor structure explaining 62.35% of the variance (Kaiser–Meyer–Olkin value = 0.807). Internal consistency was confirmed with Cronbach's alpha (α = 0.863 for the scale, > 0.7 for subscales) and high item-total correlation.ConclusionsOur newly developed Healthy Lifestyle Behavior Scale demonstrated good validity and reliability. It outperformed existing scales, boasting higher alpha values for subfactors and explained variance. This scale is a robust tool for assessing healthy lifestyle behaviors in adults.

Social Assistance and Smoking Behavior in the Sprawling Megapolitan City of Jakarta

Social Assistance and Smoking Behavior in the Sprawling Megapolitan City of Jakarta

Discordances in patients' and physicians' perspectives on which contextual factors should be accounted for during smoking cessation.

Smoking cessation interventions requires attending to the circumstances and needs of individual patients. We aimed at highlighting the discordances between patients' and physicians' perspectives on contextual factors that should be considered during smoking cessation. We identified 36 contextual factors identified that should be considered during smoking cessation using PubMed and interviewing general practitioners. Physicians recruited through social networks campaigns and smoker or former smoker patients from the ComPaRe cohort selected the factors they considered most relevant in two online paired comparison experiment. Bradley Terry Luce models estimated the ability of each factor (i.e. the probability to be preferred). We calculated the Pearson's correlation and the intraclass correlation coefficients for the contextual factor from each perspective and compared the ranking of the 10 contextual factors with the highest abilities. Seven hundred and ninety-three patients' and 795 physicians' perspectives estimated the ability (i.e., importance) of the contextual factors in 11 963 paired comparisons. We found a high correlation between physicians' and patients' perspectives of the contextual factors to be considered for smoking cessation (r = 0.76, P < 0.0001). However, the agreement between the abilities of contextual factors was poor (ICC = 0.42 [-0.10; 0.75]; P = 0.09). Fine-grain analysis of participants' answers revealed many discrepancies. For example, 40% factors ranked in the top 10 most important for physicians were not in patients' top 10 ranking. Our results highlight the importance of patient-centered care, the need to engage discussions about patients' values, beyond what is thought to be important, to avoid overlooking their real context.

Measuring Relationship Influences on Romantic Couples' Cancer-Related Behaviors During the COVID-19 Pandemic: Protocol for a Longitudinal Online Study of Dyads and Cancer Survivors.

Research has established the effects of romantic relationships on individuals' morbidity and mortality. However, the interplay between relationship functioning, affective processes, and health behaviors has been relatively understudied. During the COVID-19 pandemic, relational processes may influence novel health behaviors such as social distancing and masking. We describe the design, recruitment, and methods of the relationships, risk perceptions, and cancer-related behaviors during the COVID-19 pandemic study. This study was developed to understand how relational and affective processes influence romantic partners' engagement in cancer prevention behaviors as well as health behaviors introduced or exacerbated by the COVID-19 pandemic. The relationships, risk perceptions, and cancer-related behaviors during the COVID-19 pandemic study used online survey methods to recruit and enroll 2 cohorts of individuals involved in cohabiting romantic relationships, including 1 cohort of dyads (n=223) and 1 cohort of cancer survivors (n=443). Survey assessments were completed over 2 time points that were 5.57 (SD 3.14) weeks apart on average. Health behaviors assessed included COVID-19 vaccination and social distancing, physical activity, diet, sleep, alcohol use, and smoking behavior. We also examined relationship factors, psychological distress, and household chaos. Data collection occurred between October 2021 and August 2022. During that time, a total of 926 participants were enrolled, of which about two-thirds were from the United Kingdom (n=622, 67.8%) and one-third were from the United States (n=296, 32.2%); about two-thirds were married (n=608, 66.2%) and one-third were members of unmarried couples (n=294, 32%). In cohorts 1 and 2, the mean age was about 34 and 50, respectively. Out of 478 participants in cohort 1, 19 (4%) identified as Hispanic or Latino/a, 79 (17%) as non-Hispanic Asian, 40 (9%) as non-Hispanic Black or African American, and 306 (64%) as non-Hispanic White; 62 (13%) participants identified their sexual orientation as bisexual or pansexual, 359 (75.1%) as heterosexual or straight, and 53 (11%) as gay or lesbian. In cohort 2, out of 440 participants, 13 (3%) identified as Hispanic or Latino/a, 8 (2%) as non-Hispanic Asian, 5 (1%) as non-Hispanic Black or African American, and 398 (90.5%) as non-Hispanic White; 41 (9%) participants identified their sexual orientation as bisexual or pansexual, 384 (87.3%) as heterosexual or straight, and 13 (3%) as gay or lesbian. The overall enrollment rate for individuals was 66.14% and the overall completion rate was 80.08%. We discuss best practices for collecting online survey data for studies examining relationships and health, challenges related to the COVID-19 pandemic, recruitment of underrepresented populations, and enrollment of dyads. Recommendations include conducting pilot studies, allowing for extra time in the data collection timeline for marginalized or underserved populations, surplus screening to account for expected attrition within dyads, as well as planning dyad-specific data quality checks. DERR1-10.2196/48516.

Path analysis of the awareness status and influencing factors of sarcopenia in older adults in the community: based on structural equation modeling.

Sarcopenia is a progressive geriatric syndrome that impacts older adults' quality of life. Insufficient focus has been given to sarcopenia among Chinese residents, resulting in low level of sarcopenia awareness. This study aims to investigate awareness of sarcopenia and its influencing factors and the influencing pathways among older adults in Hangzhou. A stratified random sample of 942 community-dwelling older adults was evaluated using the SARC-CalF screening tool, along with a questionnaire based on health ecology theory to assess awareness of sarcopenia and its influencing factors and the influencing pathways. Descriptive statistics, linear regression analysis, and path analysis were conducted using SPSS 25.0 and Amos 23.0 to analyze the data. The mean awareness score for sarcopenia was 60.26 ± 7.31. Self-rated physical health, daily intake of high-quality protein, exercise frequency, smoking status, self-efficacy, religious beliefs, social support, education level, occupation, participation in community free medical examinations, and awareness of nutrition policy were all factors affecting scores for sarcopenia awareness (p < 0.05). Except for negative effects observed in social support, smoking status, and self-rated physical health, all others exhibit positive effects. Community healthcare institutions should target populations with low awareness of sarcopenia and focus on these key factors. Diverse health education programs and multi-channel screening activities can promote awareness, guide healthy lifestyles and prevent or delay the onset of sarcopenia in the older.

Feasibility and Preliminary Effects of a Social Media-Based Peer-Group Mobile Messaging Smoking Cessation Intervention Among Chinese Immigrants who Smoke: Pilot Randomized Controlled Trial.

Chinese immigrants experience significant disparities in tobacco use. Culturally adapted tobacco treatments targeting this population are sparse and the use is low. The low use of these treatment programs is attributed to their exclusive focus on individuals who are ready to quit and the wide range of barriers that Chinese immigrants face to access these programs. To support Chinese immigrant smokers at all levels of readiness to quit and address their access barriers, we developed the WeChat Quit Coach, a culturally and linguistically appropriate WeChat (Tencent Holdings Limited)-based peer group mobile messaging smoking cessation intervention. This study aims to assess the feasibility, acceptability, and preliminary effects of WeChat Quit Coach. We enrolled a total of 60 Chinese immigrant smokers in 2022 in New York City for a pilot randomized controlled trial (RCT) and a single-arm pilot test. The first 40 participants were randomized to either the intervention arm (WeChat Quit Coach) or the control arm (self-help print material) using 1:1 block randomization stratified by sex. WeChat Quit Coach lasted 6 weeks, featuring small peer groups moderated by a coach, daily text messages with text questions, and chat-based instant messaging support from the coach in response to peer questions. The next 20 participants were enrolled in the single-arm pilot test to further assess intervention feasibility and acceptability. All 60 participants were offered a 4-week supply of complimentary nicotine replacement therapy. Surveys were administered at baseline and 6 weeks, with participants in the pilot RCT completing an additional survey at 6 months and biochemical verification of abstinence at both follow-ups. Of 74 individuals screened, 68 (92%) were eligible and 60 (88%) were enrolled. The majority of participants, with a mean age of 42.5 (SD 13.8) years, were male (49/60, 82%) and not ready to quit, with 70% (42/60) in the precontemplation or contemplation stage at the time of enrollment. The pilot RCT had follow-up rates of 98% (39/40) at 6 weeks and 93% (37/40) at 6 months, while the single-arm test achieved 100% follow-up at 6 weeks. On average, participants responded to daily text questions for 25.1 days over the 42-day intervention period and 23% (9/40) used the chat-based instant messaging support. Most participants were satisfied with WeChat Quit Coach (36/39, 92%) and would recommend it to others (32/39, 82%). At 6 months, self-reported 7-day point prevalence abstinence rates were 25% (5/20) in the intervention arm and 15% (3/20) in the control arm, with biochemically verified abstinence rates of 25% (5/20) and 5% (1/20), respectively. WeChat Quit Coach was feasible and well-received by Chinese immigrants who smoke and produced promising effects on abstinence. Large trials are warranted to assess its efficacy in promoting abstinence in this underserved population. ClinicalTrials.gov NCT05130788; https://clinicaltrials.gov/study/NCT05130788.

Understanding the impact of COVID-19 on antibiotic use in Canadian primary care: a matched-cohort study using EMR data

BackgroundInappropriate or overuse of antibiotic prescribing in primary care highlights an opportunity for antimicrobial stewardship (AMS) programs aimed at reducing unnecessary use of antimicrobials through education, policies and practice audits that optimize antibiotic prescribing. Evidence from the early part of the pandemic indicates a high rate of prescribing of antibiotics for patients with COVID-19. It is crucial to surveil antibiotic prescribing by primary care providers from the start of the pandemic and into its endemic stage to understand the effects of the pandemic and better target effective AMS programs.MethodsThis was a matched pair population-based cohort study that used electronic medical record (EMR) data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Participants included all patients that visited their primary care provider and met the inclusion criteria for COVID-19, respiratory tract infection (RTI), or non-respiratory or influenza-like-illness (negative). Four outcomes were evaluated (a) receipt of an antibiotic prescription; (b) receipt of a non-antibiotic prescription; (c) a subsequent primary care visit (for any reason); and (d) a subsequent primary care visit with a bacterial infection diagnosis. Conditional logistic regression was used to evaluate the association between COVID-19 and each of the four outcomes. Each model was adjusted for location (rural or urban), material and social deprivation, smoking status, alcohol use, obesity, pregnancy, HIV, cancer and number of chronic conditions.ResultsThe odds of a COVID-19 patient receiving an antibiotic within 30 days of their visit is much lower than for patients visiting for RTI or for a non-respiratory or influenza-like-illnesses (AOR = 0.08, 95% CI[0.07, 0.09] compared to RTI, and AOR = 0.43, 95% CI[0.38, 0.48] compared to negatives). It was found that a patient visit for COVID-19 was much less likely to have a subsequent visit for a bacterial infection at all time points.ConclusionsEncouragingly, COVID-19 patients were much less likely to receive an antibiotic prescription than patients with an RTI. However, this highlights an opportunity to leverage the education and attitude change brought about by the public health messaging during the COVID-19 pandemic (that antibiotics cannot treat a viral infection), to reduce the prescribing of antibiotics for other viral RTIs and improve antibiotic stewardship.

Severe mental illness as a risk factor for recorded diagnosis of osteoporosis and fragility fractures in people aged ≥50 years: retrospective cohort study using UK primary care data.

Severe mental illness (SMI) has been associated with reduced bone density and increased risk of fractures, although some studies have shown inconsistent results. To examine the association between SMI and recorded diagnosis of osteoporosis and fragility fracture in people aged ≥50 years. Population-based cohort study set in UK primary care. Anonymised primary care data (IQVIA Medical Research Database) were used. Patients with a diagnosis of SMI aged 50-99 years (2000-2018) were matched to individuals without SMI. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Analyses were stratified by sex and age, accounting for social deprivation, year, smoking, alcohol, and body mass index. In total, 444 480 people were included (SMI n = 50 006; unexposed n = 394 474). In men, diagnosis of SMI increased the likelihood of an osteoporosis diagnosis, with differences mainly observed among the youngest (aged 50-54 years: HR 2.12, 95% CI = 1.61 to 2.79) and the oldest (aged 85-99 years: HR 2.15, 95% CI = 1.05 to 4.37), and SMI increased the risk of fragility fractures across all ages. In women, SMI increased the risk of an osteoporosis diagnosis only in those aged 50-54 years (HR 1.16, 95% CI = 1.01 to 1.34), but increased the risk of fragility fractures across all ages. There were more than twice as many men with SMI with fragility fracture records than with an osteoporosis diagnosis: fragility fracture:osteoporosis = 2.10, compared with fragility fracture:osteoporosis = 1.89 in men without SMI. The fragility fracture:osteoporosis ratio was 1.56 in women with SMI versus 1.11 in women without SMI. SMI is associated with an increased likelihood of fragility fractures and osteoporosis underdiagnosis. Interventions should be considered to mitigate the increased risk of fractures in people with SMI.

Breaking down barriers: rationalisations and motivation to stop among Chinese male smokers under cigarette dependence

BackgroundSmoking rationalisation beliefs are a huge barrier to quitting smoking. What types of rationalisations should be emphasised in smoking cessation interventions? Although past literature has confirmed the negative relationship between those beliefs and motivation to stop smoking, little is known regarding the importance and performance of those beliefs on motivation with varying cigarette dependence. The study aimed to ascertain rationalisations that are highly important for motivation yet perform poorly in different cigarette dependence groups.MethodsThe cross-sectional study was conducted from November 19 to December 9, 2023 in Guiyang City, China. Adult male current smokers were enrolled. Partial least squares structural equation modelling was used to test the hypothesis. The multi-group analysis was used to determine the moderating effect of cigarette dependence, and the importance-performance map analysis was utilised to assess the importance and performance of rationalisations.ResultsA total of 616 adult male current smokers were analysed, and they were divided into the low cigarette dependence group (n = 297) and the high cigarette dependence group (n = 319). Except for risk generalisation beliefs, smoking functional beliefs (H1: -β = 0.131, P < 0.01), social acceptability beliefs (H3: β = -0.258, P < 0.001), safe smoking beliefs (H4: β = -0.078, P < 0.05), self-exempting beliefs (H5: β = -0.244, P < 0.001), and quitting is harmful beliefs (H6: β = -0.148, P < 0.01) all had a significant positive influence on motivation. Cigarette dependence moderated the correlation between rationalisations and motivation. In the high-dependence group, the social acceptability beliefs and smoking functional beliefs were located in the “Concentrate Here” area. In the low-dependence group, the social acceptability beliefs were also situated in there.ConclusionsSocial acceptability beliefs and smoking functional beliefs showed great potential and value for improvement among high-dependence smokers, while only social acceptability beliefs had great potential and value for improvement among low-dependence smokers. Addressing these beliefs will be helpful for smoking cessation. The multi-group analysis and the importance-performance map analysis technique have practical implications and can be expanded to other domains of health education and intervention practice.

Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004–2019)

BackgroundInterest in modifiable risk factors (MRFs) for dementia is high, given the personal, social, and economic impact of the disorder, especially in ageing societies such as the United Kingdom. Exploring the population attributable fraction (PAF) of dementia attributable to MRFs and how this may have changed over time remains unclear. Unravelling the temporal dynamics of MRFs is crucial for informing the development of evidence-based and effective public health policies. This investigation examined the temporal trajectories of MRFs for dementia in England.MethodsWe used data from the English Longitudinal Study of Ageing, a panel study over eight waves collected between 2004 and 2019 (76,904 interviews in total). We calculated the PAFs for twelve MRFs (including six early- to mid-life factors and six late-life factors), as recommended by the Lancet Commission, and the individual weighted PAFs (IW-PAFs) for each risk factor. Temporal trends were analysed to understand the changes in the overall PAF and IW-PAF over the study period. Subgroup analyses were conducted by sex and socioeconomic status (SES).ResultsThe overall PAF for dementia MRFs changed from 46.73% in 2004/2005 to 36.79% in 2018/2019, though this trend was not statistically significant. During 2004–2019, hypertension, with an average IW-PAF of 8.21%, was the primary modifiable determinant of dementia, followed by obesity (6.16%), social isolation (5.61%), hearing loss (4.81%), depression (4.72%), low education (4.63%), physical inactivity (3.26%), diabetes mellitus (2.49%), smoking (2.0%), excessive alcohol consumption (1.16%), air pollution (0.42%), and traumatic brain injury (TBI) (0.26%). During 2004–2019, only IW-PAFs of low education, social isolation, and smoking showed significant decreasing trends, while IW-PAFs of other factors either did not change significantly or increased (including TBI, diabetes mellitus, and air pollution). Upon sex-specific disaggregation, a higher overall PAF for MRFs was found among women, predominantly associated with later-life risk factors, most notably social isolation, depression, and physical inactivity. Additionally, hearing loss, classified as an early- to mid-life factor, played a supplementary role in the identified sex disparity. A comparable discrepancy was evident upon PAF evaluation by SES, with lower income groups experiencing a higher dementia risk, largely tied to later-life factors such as social isolation, physical inactivity, depression, and smoking. Early- to mid-life factors, in particular, low education and obesity, were also observed to contribute to the SES-associated divergence in dementia risk. Temporal PAF and IW-PAF trends, stratified by sex and SES, revealed that MRF PAF gaps across sex or SES categories have persisted or increased.ConclusionsIn England, there was little change over time in the proportion of dementia attributable to known modifiable risk factors. The observed trends underscore the continuing relevance of these risk factors and the need for targeted public health strategies to address them.

Lifestyle trajectories in middle-aged adults and their relationship with health indicators.

Understanding the impact of different lifestyle trajectories on health preservation and disease risk is crucial for effective interventions. This study analyzed lifestyle engagement over five years in 3,013 healthy adults aged 40-70 from the Barcelona Brain Health Initiative using K-means clustering. Nine modifiable risk factors were considered, including cognitive, physical, and social activity, vital plan, diet, obesity, smoking, alcohol consumption, and sleep. Self-reported diagnoses of new diseases at different time-points after baseline allowed to explore the association between these five profiles and health outcomes. The data-driven analysis classified subjects into five lifestyle profiles, revealing associations with health behaviors and risk factors. Those exhibiting high scores in health-promoting behaviors and low-risk behaviors, demonstrate a reduced likelihood of developing diseases (p < 0.001). In contrast, profiles with risky habits showed distinct risks for psychiatric, neurological, and cardiovascular diseases. Participant's lifestyle trajectories remained relatively stable over time. Our findings have identified risk for distinct diseases associated to specific lifestyle patterns. These results could help in the personalization of interventions based on data-driven observation of behavioral patterns and policies that promote a healthy lifestyle and can lead to better health outcomes for people in an aging society.

Social smoker identity and associations with smoking and quitting behaviour: A cross-sectional study in England

Background'Social smoking' typically occurs predominantly or exclusively in the presence of others who are smoking. Relatively little is known about changes in the prevalence of 'social smoking identity' over time and its association with other smoking-related correlates. MethodsData were from the Smoking Toolkit Study, a nationally-representative cross-sectional survey in England. Participants were 26,774 adults who currently smoked or had quit in the past year, surveyed between February-2014 and April-2021. We estimated the proportion identifying as having a social smoking identity, changes over time, and associations with smoking in social situations, cigarette dependence, motivation to stop, quit attempts and success. ResultsOf adults who currently smoked or had quit in the past year, 34.0% (95% Confidence Interval (CI)=33.5–34.6) identified as having a social smoking identity. There was a near linear increase in this proportion from 31.9% (95%CI=29.7–34.2) in February-2014 to 36.5% (95%CI=34.1–38.9) in April-2021. Adults who currenty smoked identifying as having a social smoking identity were less cigarette dependent (adjusted B=0.34, 95%CI=0.31–0.37) and more motivated to stop (aOR=1.20, 95%CI=1.15–1.26) than those who did not. Adults who currently smoked or had quit in the past year identifying as having a social smoking identity reported more smoking in social situations (aOR=6.45, 95%CI=6.13–6.80) and past-year quit attempts (aOR=1.22, 95%CI=1.14–1.30) than those who did not. Quit success was not associated with having a social smoking identity among adults who currently smoked or had quit in the past year and who had attempted to quit (aOR=0.90, 95%CI=0.79–1.02). ConclusionsAn increasing proportion, over a third, of adults who currently smoked or had quit in the past year in England identify as having a social smoking identity. Despite being associated with lower dependence, greater motivation to quit and more quit attempts, social smoking identity is not associated with greater quit success, suggesting a complex interplay between identity and smoking-related behaviours.

Re: Benchmarking social isolation, loneliness, and smoking: challenges and opportunities for public health.

Re: Benchmarking social isolation, loneliness, and smoking: challenges and opportunities for public health.

Educational inequalities in major depressive disorder prevalence, timing and duration among adults over the life course: a microsimulation analysis based on the Lifelines Cohort Study.

Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, for example lifestyle and psychosocial factors. For this reason, we aimed to simulate the development of educational inequalities in MDD across the life course, and to estimate the potential impact of intervening on modifiable factors. We used data from the prospective Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation allowed us to project the development of educational inequalities in MDD between ages 18 and 65, and to assess the potential benefit of intervening on quality of social contacts, health literacy and smoking. On average, an additional 19.1% of individuals with low education will ever experience MDD between ages 18 and 65 compared with those with high education. Additionally, individuals with low education generally will develop MDD 0.9 years earlier and spend 1.2 years more with MDD, than individuals with high education. Improving the quality of social contacts in individuals with low education produced the largest effect; it would reduce the inequalities in the prevalence, onset and duration of MDD by an average of 18.4%, 18.3% and 28.6%, respectively. Intervening on modifiable factors, particularly quality of social contacts, in individuals with low education could help reduce the estimated educational inequalities in MDD over the life course.

Abstract 2205: Modifiable risk factors are associated with clonal hematopoiesis

Abstract Observational studies have implicated modifiable factors like smoking, alcohol intake, physical activity (PA), and sleep to cancer risk. Clonal hematopoiesis (CH), marked by clonal expansions of mutated hematopoietic progenitors with mosaic chromosomal alterations (mCAs) or clonal hematopoiesis of indeterminate potential (CHIP), has been associated with the risk of serval cancers and may shed light the interplay between these factors and early preneoplastic hematopoietic expansion.Leveraging genotyping array and whole-exome sequencing data of leukocyte-derived DNA from 485,028 participants without hematologic malignancies in the UK Biobank (UKBB), we performed genome-wide characterization of two common forms of CH—mCAs and CHIP. To assess associations between social deprivation, self-reported modifiable risk factors, and CH risk, we employed multivariable logistic regression models adjusted for potential confounders including age, sex, smoking history, and genetic ancestry.We identified 11,826 (2.4%) individuals with autosomal mosaic chromosomal alterations (auto mCAs), 15,499 (3.2%) with loss of the X chromosome (mLOX), 43,044 (8.8%) with loss of the Y chromosome (mLOY) and 22,508 (4.6%) with CHIP. Individuals with any CH subtype were on average older than CH-free individuals (p &amp;lt; 9.11 × 10−52). Multivariable models identified a significant negative association between mLOY and social deprivation in England (1 SD change in score: OR = 0.968 [0.956-0.980], p = 4.88 × 10−7), suggesting modifiable risk factors could influence risk of mLOY. We observed a positive association with ever smoking and CH, which decreased with increased years since smoking cessation. Current smokers were at higher risk for auto mCAs (Odds ratio (OR) = 1.23, 95% Confidence Interval (CI):[1.16-1.31], P-value (p) = 2.63 × 10−11), mLOY (OR = 2.25, 95%CI: [2.17-2.33], p &amp;lt; 9.11 × 10−52), and CHIP (OR = 1.40,, 95%CI: [1.34-1.47] p &amp;lt; 9.11 × 10−52); and former smokers also exhibited significant associations for mLOY (OR = 1.16, 95%CI: [1.13-1.19], p = 2.97 × 10−32) and CHIP (OR = 1.11, 95%CI: [1.08-1.15], p = 2.75 × 10−13). Alcohol consumption was associated with a significant increase in the risk of mLOX in heavy drinkers (&amp;gt;2-3 drinks/day) compared to non-drinkers (OR = 1.16, 95%CI: [1.09-1.24], p = 1.21 × 10−5). Moderate and high PA levels (categorized as level 2 and 3 based on total activity), were positively associated with increased mLOY frequency (moderate: OR = 1.05, 95%CI: [1.02-1.08], p = 8.6 × 10−2, high: OR = 1.06, 95%CI: [1.03-1.08], p = 1.6 × 10−3). We observed no evidence for an association between sleep patterns and CH.Our investigation in a large cohort identified associations between CH and social deprivation, smoking, alcohol consumption and PA. As CH is an intermediate marker for hematologic cancer risk, our findings imply that modifiable exposures may contribute to hematologic cancer risk through clonal mechanisms. Citation Format: Corey D. Young, Aubrey K. Hubbard, Pedro Saint-Maurice, Irenaeus Chan, Kelly L. Bolton, Stephen J. Chanock, Charles Matthews, Steven C. Moore, Erikka Loftfield, Yin Cao, Mitchell J. Machiela, Duc Tran. Modifiable risk factors are associated with clonal hematopoiesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2205.