Population Subgroups Research Articles

Greenness exposure: beneficial but multidimensional.

Many studies have shown that greenness has beneficial health effects, particularly on psychological and cardiovascular outcomes. In this narrative review, we provide a synthesis of knowledge regarding greenness exposure and respiratory health. The following outcomes were reviewed: respiratory mortality, lung cancer mortality, lung cancer incidence, respiratory hospitalisations, lung function, COPD, and asthma. We identified 174 articles through a literature search in PubMed, of which 42 were eligible for inclusion in this review. The most common marker for greenness exposure was the normalised difference vegetation index (NDVI), which was used in 29 out of 42 papers. Other markers used were tree canopy cover, landcover/land-use, plant diversity, density of tall trees and subjectively perceived greenness. We found beneficial effects of greenness in most studies regarding respiratory mortality, lung cancer incidence, respiratory hospitalisations and lung function. For lung cancer mortality, asthma and COPD, the effects of greenness were less clear cut. While many aspects of greenness are beneficial, some aspects may be harmful, and greenness may have different health effects in different population subgroups. Future studies of greenness and respiratory diseases should focus on asthma and COPD, on effects in different population subgroups and on disentangling the health effects of the various greenness dimensions.

Mental health and well-being in the first year of the COVID-19 pandemic among different population subgroups: evidence from representative longitudinal data in Germany

ObjectivesTo examine potential deteriorations in mental health and well-being in the first COVID-19 pandemic year compared with the previous decade focusing on the following vulnerable subgroups in Germany: women with...

Invited Perspective: PFAS and the Childhood Obesity Phenotype-Challenges and Opportunities.

Invited Perspective: PFAS and the Childhood Obesity Phenotype-Challenges and Opportunities.

Clinical utility of sentinel lymph node biopsy in women ≥ 70 years with early breast cancer.

e12512 Background: Sentinel lymph node biopsy (SLNB) has traditionally been used to stage the axilla in early breast cancer (EBC) to guide adjuvant treatment recommendations. Following advances in genomic testing and tumor biology understanding, its role may be less critical especially in selected groups of women. The aim was to evaluate clinical utility of SLNB in adjuvant treatment recommendations for women ≥ 70 years with EBC in a tertiary unit in the United Kingdom. Methods: Retrospective cohort study of women ≥ 70 years with cT1-2N0 EBC undergoing primary surgery and SLNB between 01/2018-12/2022. Simple descriptive statistics and non-parametric tests were performed, including cost analysis of the SLNB procedure. Results: A total of 528 patients were included. The median age was 75 (IQR 72-79) years. Most cancers were invasive ductal (84.7%), grade 2 (66.9%), hormone receptor (HR) positive/HER2 negative (84.4%) with a median tumor size of 17 (IQR 4-50) mm. SLNB was positive in 64 (12.1%) patients. Of these 64 patients, 13 (20.3%) had completion ALND and 39 (60.9%) had adjuvant locoregional nodal radiotherapy (RT) including levels 1 & 2 of the axilla; adjuvant RT to levels 3 & 4 after ALND was given to 5/13. As per ACOSOG Z0011 criteria, 2/13 could have been spared ALND and 31/39 axillary RT. The multidisciplinary team (MDT) recommended adjuvant chemotherapy (AC) in 72 (13.6%) patients and 45 received it. Of those with a positive SLNB (n = 64), AC was recommended in 15, and received by 11. Recommendation for AC was significantly associated with age (p = 0.006), tumor grade (p < 0.0001), size (p = 0.001), receptor status (p < 0.0001) and positive SLNB status (p = 0.02) but not with comorbidities (p = 0.06). A subgroup analysis of 294 patients with cT1N0, HR+/HER2- EBC, representing a more favorable prognosis group, was performed. Here, 31/294 (10.5%) patients had positive SLNB, of whom 5 underwent ALND and 16 regional nodal RT, where 2/5 could have been spared ALND and 13/16 axillary RT as per ACOSOG Z0011 criteria. AC was recommended in 11/294 (3.7%) women and 9 received it. AC was not recommended in 20/31 (64.5%) cases, despite a positive SLNB. MDT recommendation for AC was associated with SLNB status (p = 0.02), grade 3 (p = 0.002) and multifocal disease (p = 0.02), while AC receipt was only associated with grade 3 (p = 0.017) and multifocal disease (p = 0.009) but not SLNB status (p = 0.058). Given an average cost of $6504.95 / £5359.38 per SLNB procedure in this unit, avoiding routine SLNB in the subgroup population may have potentially saved $1,912,493.95 / £1,575,657.72 in this 5 year period. Conclusions: Only a small proportion of women ≥ 70 years with EBC had positive SLNB that may influence adjuvant treatment recommendations, especially with favorable prognosis tumors. In such cases, where clinical morbidity and financial burden of SLNB may outweigh the benefits, a nuanced discussion for opting in SLNB rather than routine performance should be considered.

Prognostic value of HER2-low status in breast cancer: A systematic review and meta-analysis.

1104 Background: HER2-Low breast cancer (BC) has been recently identified as a new therapeutic target. However, it is unclear if HER2-Low status has an independent impact on prognosis, both in metastatic and early settings. Methods: A systematic literature research of PubMed, Cochrane and conference proceedings (ASCO meetings, SABCS and ESMO congress) up to December 8, 2022 was performed to identify studies comparing survival outcomes of patients affected by HER2-Low BC vs. HER2-zero BC. HER2-Low status was defined as immunohistochemistry score 1 + or 2+ without in situ hybridization amplification. Pooled hazard ratios (HRs) for survival endpoints in the metastatic [progression-free survival (PFS), overall survival (OS)] and in the early [disease free-survival (DFS) and OS] settings as well as their 95% confidence intervals (95%CI) were calculated using the random-effect model of Der Simonian and Laird. The above-mentioned endpoints were also assessed according to estrogen receptor (ER) status. Results: Among 1,916 identified records, 42 studies including 1,797,377 patients were eligible for this analysis. We show the pooled HRs in the overall population and specific subgroups. In the early setting, HER2-Low status was associated with significant improved DFS (HR 0.86, 95%CI 0.79-0.92, p<0.001) and OS (HR 0.84, 95%CI 0.77-0.92, p<0.001) when compared to HER2-zero status. Improved OS was observed in subgroup analysis for both ER-positive and ER-negative HER2-Low populations, while DFS improvement was observed only in the ER-positive subgroup. Similarly, in the metastatic setting, patients affected by HER2-Low BC showed better OS when compared to those with HER2-zero BC (HR 0.94, 95%CI 0.89-0.98, p=0.008). HER2-Low metastatic BC was associated with significant improvement in OS compared to HER2-zero BC also in ER-positive and ER-negative subgroups. No significant differences were found in terms of PFS. Conclusions: Compared with HER2-zero status, HER2-Low status appears to be associated with an increased OS both in the advanced and early settings, regardless of hormone-receptor expression. [Table: see text]

Air pollution and stroke; effect modification by sociodemographic and environmental factors. A cohort study from Denmark.

Air pollution increases the risk of stroke, but the literature on identifying susceptible subgroups of populations is scarce and inconsistent. The aim of this study was to investigate if the association between air pollution and risk of stroke differed by sociodemographic factors, financial stress, comorbid conditions, and residential road traffic noise, population density and green space. We assessed long-term exposure to air pollution with ultrafine particles, PM2.5, elemental carbon and NO2 for a cohort of 1,971,246 Danes aged 50-85 years. During follow-up from 2005 to 2017, we identified 83,211 incident stroke cases. We used Cox proportional hazards model (relative risk) and Aalen additive hazards models (absolute risk) to estimate associations and confidence intervals (CI) between 5-year running means of air pollution at the residence and risk of stroke in population strata. All four pollutants were associated with higher risk of stroke. The association between air pollution and stroke was strongest among individuals with comorbidities, with shorter education, lower income and being retired. The results also indicated stronger associations among individuals living in less populated areas, and with low noise levels and more green space around the residence. Estimates of absolute risk seemed better suited to detect such interactions than estimates of relative risk. For example for PM2.5 the hazard ratio for stroke was 1.28 (95%CI: 1.22-1.34) and 1.26 (95%CI: 1.16-1.37) among those with mandatory and medium/long education respectively. The corresponding rate difference estimates per 100,000 person years were 568 (95%CI: 543-594) and 423(95%CI: 390-456) CONCLUSION: The associations between air pollution and risk of stroke was stronger among individuals of lower socioeconomic status or with pre-existing comorbid conditions. Absolute risk estimates were better suited to identify such effect modification.

Genomewide analysis of Episodic Memory trajectories in The Mexican Health and Aging Study (MHAS)

AbstractBackgroundGenetic characterization of age‐related memory changes can help identify population subgroups at‐risk of memory decline and dementia. The majority of genetic studies examining memory trajectories in old age have used data from non‐Hispanic White populations. To our knowledge, there are no reports of genetic factors underlying memory function over time in the Mexican population.MethodUsing a previously described latent curve model approach, we estimated episodic memory trajectories in a longitudinal sample from the Mexican Health and Aging Study. We conducted GWAS analyses in a sub‐sample of 6,343 participants. Analyses were stratified by memory stability (Stables, n = 4,437) and APOE status. Three independent cohorts were used for replication purposes: two Non‐Hispanic White samples from the Alzheimer’s Disease Genetic Consortium and the Religious Orders Study, and a Caribbean‐Hispanic sample from the Washington Heights Inwood Community Aging Project.ResultThe strongest genome‐wide significant association was found for an intronic variant in the NR2F1‐AS1 gene (rs555528825, p = 1.8×10−9) among APOE non‐E4 carriers in the “Stables” group. NR2F1 gene is an evolutionarily conserved long non‐coding RNA that enhances neuronal cell maturation and regulates transcription of neuronal genes. SNP variants located less than 50Kb apart from the identified signal showed also nominally significant associations in the three replication datasets (p = 3.9×10−4, p = 1.8×10−4, and p = 0.006 respectively). Additional replication efforts using the UK biobank recourse are ongoing.ConclusionOur study nominates novel genetic variants associated with longitudinal changes in episodic memory performance using data from the Mexican Health and Aging Study, a representative and comprehensive longitudinal study that includes genetic data on a sub‐sample of participants 50 years and older.

Using Social Influence Strategies to Improve Rates of Online Mental Health Survey Participation: Results from Two Experiments.

Online surveys are routinely used in mental health screening and treatment follow-up assessment, though they can yield low response rates. We tested the effects of social psychology-informed influence strategies for increasing rates of participation in an online mental health screening survey (Experiment 1) and a treatment follow-up survey (Experiment 2). In Experiment 1 (N = 45,569), embedding one or any combination of three motivational appeals (personal gain, community gain, and inclusivity) in screening survey invitation and reminder emails unexpectedly led to lower rates of survey participation compared to when the appeals were not included (overall participation rate = 12.02%, ORs = 0.75 to 0.97, ps < .001). In Experiment 2 (N = 873), a video of a TikTok influencer encouraging survey participation embedded in treatment follow-up survey invitation and reminder emails did not significantly affect survey completion compared to a humorous gif unrelated to survey participation (overall participation rate = 47.88%, OR = 1.18, p = .200). Moderator analyses revealed that the video led to higher rates of participation than the gif among White participants (OR = 1.39, p = .031) and non-Hispanic participants (OR = 1.35, p = .029) only, whereas the video led to lower rates of participation than the gif among students who did not disclose their race (OR = 0.31, p = .010). Results suggested that efforts to improve online survey participation should be balanced with possible downsides (e.g., added email length) and should be evaluated for differential performance among population subgroups prior to widespread implementation.

Cohort Profile: ChinaHEART (Health Evaluation And risk Reduction through nationwide Teamwork) Cohort.

Non-communicable diseases (NCDs), as the world's largest health threat, cause about 41 million deaths every year, equivalent to 71% of the total deaths.1 In China, NCDs are also the leading causes of disability-adjusted life-years (DALYs), such as stroke (44.3 million), ischaemic heart disease (30.1 million), chronic obstructive pulmonary disease (COPD) (20.4 million), lung cancer (15.3 million) and diabetes (10 million).2 By controlling risk factors, including tobacco smoking,3 alcohol use,4 unhealthy diet,5 physical inactivity,6,7 overweight or obesity,8 abnormal blood lipid levels9,10 and high blood pressure,11,12 incidence and mortality of NCDs can be substantially reduced according to robust evidence from previous studies. Therefore, comprehensive knowledge about distribution and influence of risk factors is essential for the development and implementation of targeted prevention strategies. Due to China’s large population size and vast territory, there are enormous variations in the prevalence of the aforementioned risk factors across population subgroups and regions.13,14 Moreover, the strength of these risk factors could be of great heterogeneity of which the understanding is still limited. Although several large-scale population-based cohorts focusing on NCDs have been established in the past two decades,15–17 they are still limited in geographical coverage for reflecting the whole country and in statistical power to detect associations in specific subgroups. Additionally, aetiological studies leveraging biosamples to explore multi-omics associations and gene-environment interactions,18–21 which have increasingly become research hotspots, are particularly sensitive to population size and diversity.

Evaluating Household Welfare in Participation of China’s Natural Forest Protection Program: A Dual Perspective of Income Welfare and Material Welfare

This paper presents novel empirical evidence on the welfare impacts of forest protection programs, focusing on both income and material welfare at the household level. Specifically, we conduct a household survey of 1271 households in forestry communities that participate in the Natural Forest Protection Program (NFPP) in China. The survey data are collected from 56 state forest enterprises (SFEs) across three provinces in China. We employ the Alkire–Foster method to calculate and decompose the material deprivation index based on household income levels. Our analysis reveals that forestry communities exhibit a significant proportion of households in low-income welfare states, comprising nearly one-fourth (25.41%) of the sample. Furthermore, we observe that the percentage of households in a low-material welfare state is nearly one-fifth (21.70%), with 7.79% of households experiencing both low-income and low-material welfare. Importantly, we find that welfare disparities persist across population subgroups based on occupation and geography. In addition, we assess the impact of the NFPP on household welfare outcomes and identify an elite group of technicians residing in urban communities down the hill who experience positive welfare effects from the program. These findings provide critical insights beyond a single welfare dimension and contribute to the growing literature on evaluating forest protection policies. Furthermore, the results offer valuable lessons for designing and implementing forest protection programs in other developing countries.

Obesity is associated with an increased risk of undergoing hip replacement in Australia.

Obesity is a known risk factor for the development of hip osteoarthritis. The aim of this study was to investigate whether obesity is associated with the risk of undergoing total hip replacement (THR) in Australia. A cohort study was conducted comparing data from the Australian Bureau of Statistics and the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR) from 2017 to 2018. Body mass index (BMI) data for patients undergoing primary total hip replacement and resurfacing for osteoarthritis were obtained from the AOANJRR. The distribution of THR patients by BMI category was compared to the general population, in age and sex sub-groups. During the study period, 32 495 primary THR were performed for osteoarthritis in Australia. Compared to the general population, there was a higher prevalence of Class I, II and III obesity in patients undergoing THR in both sexes aged 35-74 years. Class III obese females and males aged 55-64 years were 2.9 and 1.7 times more likely to undergo THR, respectively (P < 0.001). Class III obese females and males underwent THR on average 5.7 and 7.0 years younger than their normal weight counterparts, respectively. Obese Australians are at increased risk of undergoing THR, and at a younger age.

Stillbirth risk and smallness for gestational age according to Hadlock, INTERGROWTH-21st, WHO, and GROW fetal weight standards: analysis by maternal ethnicity and body mass index

Appropriate growth charts are essential for fetal surveillance, to confirm that growth is proceeding normally and to identify pregnancies that are at risk. Many stillbirths are avoidable through antenatal detection of the small-for-gestational-age fetus. In the absence of an international consensus on which growth chart to use, it is essential that clinical practice reflects outcome-based evidence. This study investigated the performance of 4 internationally used fetal weight standards and their ability to identify stillbirth risk in different ethnic and maternal size groups of a heterogeneous population. We analyzed routinely collected maternity data from more than 2.2 million pregnancies. Three population-based fetal weight standards (Hadlock, Intergrowth-21st, and World Health Organization) were compared with the customized GROW standard that was adjusted for maternal height, weight, parity, and ethnic origin. Small-for-gestational-age birthweight and stillbirth risk were determined for the 2 largest ethnic groups in our population (British European and South Asian), in 5 body mass index categories, and in 4 maternal size groups with normal body mass index (18.5-25.0 kg/m2). The differences in trend between stillbirth and small-for-gestational-age rates were assessed using the Clogg z test, and differences between stillbirths andbody mass index groups were assessed using the chi-square trend test. Stillbirth rates (per 1000) were higher in South Asian pregnancies (5.51) than British-European pregnancies (3.89) (P<.01) and increased in both groups with increasing body mass index (P<.01). Small-for-gestational-age rates were 2 to 3-fold higher for South Asian babies than British European babies according to the population-average standards (Hadlock: 26.2% vs 12.2%; Intergrowth-21st: 12.1% vs 4.9%; World Health Organization: 32.2% vs 16.0%) but were similar by the customized GROW standard (14.0% vs 13.6%). Despite the wide variation, each standard's small-for-gestation-age cases had increased stillbirth risk compared with non-small-for-gestation-age cases, with the magnitude of risk inversely proportional to the rate of cases defined as small for gestational age. All standards had similar stillbirth risk when the small-for-gestation-age rate was fixed at 10% by varying their respective thresholds for defining small for gestational age. When analyzed across body mass index subgroups, the small-for-gestation-age rate according to the GROW standard increased with increasing stillbirth rate, whereas small-for-gestation-age rates according to Hadlock, Intergrowth-21st, and World Health Organization fetal weight standards declined with increasing body mass index, showing a difference in trend (P<.01) to stillbirth rates across body mass index groups. In the normal body mass index subgroup, stillbirth rates showed little variation across maternal size groups; this trend was followed by GROW-based small-for-gestation-age rates, whereas small-for-gestation-age rates defined by each population-average standard declined with increasing maternal size. Comparisons between population-average and customized fetal growth charts require examination of how well each standard identifies pregnancies at risk of adverse outcomes within subgroups of any heterogeneous population. In both ethnic groups studied, increasing maternal body mass index was accompanied by increasing stillbirth risk, and this trend was reflected in more pregnancies being identified as small for gestational age only by the customized standard. In contrast, small-for-gestation-age rates fell according to each population-average standard, thereby hiding the increased stillbirth risk associated with high maternal body mass index.

Declining trend in cigarette smoking among U.S. adults over 2008–2018: A decomposition analysis

The United States (U.S.) witnessed considerable reduction in cigarette smoking prevalence in the recent past. While the correlates of smoking prevalence and related disparities among U.S. adults are well documented, there is limited information on how this success was shared among different population sub-groups. Based on data from the National Health Interview Surveys, 2008 and 2018, representative of non-institutionalized U.S. adults (18 years and above), we applied the threefold Kitawaga-Oaxaca-Blinder linear decomposition analysis. We decomposed the trends in cigarette smoking prevalence, smoking initiation, and successful cessation into changes in population characteristics holding smoking propensities constant (compositional change), changes in smoking propensities by population characteristics holding population composition constant (structural change), and the unmeasured macro-level changes affecting smoking behavior in different population sub-groups at differential rates (residual change) to quantify the shares of population sub-groups by sex, age, race/ethnicity, education, marital status, employment status, health insurance coverage, family income, and region of residence in the overall change in smoking rates. The analysis shows that decreases in smoking propensities regardless of the changes in population composition accounted for 66.4% of the reduction in smoking prevalence and 88.7% of the reduction in smoking initiation. The major reductions in smoking propensity were among Medicaid recipients and young adults (ages 18–24 years). The 25-44-year-olds experienced moderate increase in successful smoking cessation, while the overall successful smoking cessation rate remained steady. Taken together, consistent reduction in smoking among U.S. adults by all major population characteristics, accompanied by disproportionately larger reduction in smoking propensities among the population sub-groups with initially higher smoking propensity compared to the national average, characterized the decline in overall cigarette smoking. Strengthening proven tobacco control measures with targeted interventions to reduce smoking propensities among underserved populations is key to continued success in reducing smoking overall and remedying inequities in smoking and population health.

Harnessing the Power of Collaboration to Expand the Coverage and Equity of COVID-19 Vaccinations in India: A Community Collaboration Model.

Early in 2021, India embarked on the uphill journey of the COVID-19 vaccination of the largest population group in the world in a prioritized manner and in the shortest possible time. Considering the endless variety of geography and diverse socio-economic demographic, religious, and community contexts, there was a high likelihood of certain population subgroups with known vulnerabilities facing inequities, which were anticipated to be further accentuated by a digital divide. This necessitated devising solutions for such communities in a localized manner to aid the local government in breaking the service access and uptake barriers with an inclusive approach. To bridge this vital gap, the Momentum Routine Immunization Transformation and Equity project implemented a three-tiered collaboration, viz., government, non-governmental organizations (NGOs), and a wide range of vulnerable and at-risk communities, utilizing knowledge exchange and use of data. The project implemented localization strategies through the NGOs for community engagement in conjunction with government vaccination teams to universalize COVID-19 vaccination uptake up to the last mile. The collaboration resulted in reaching close to 50 million beneficiaries through messaging and facilitated the administration of more than 14 million vaccine doses, including 6.1 million doses for vulnerable and marginalized communities in 18 States and Union territories in India, along with suggesting implications for public health practice and research.

Large health disparities in the performance of the SCORE2 cardiovascular risk prediction model in an ethnic and socioeconomic diverse population

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Leiden University Medical Centre University Leiden. Background/introduction There is much evidence on cardiovascular health disparities in different ethnic and socioeconomic subgroups in (European) populations. Whether ethnicity and socioeconomic status should explicitly be taken into account as predictors in European risk prediction models, on top of traditional risk factors (blood pressure, cholesterol, age and gender), is still considered as a gap in evidence by the 2021 ESC Guideline on cardiovascular disease prevention. Purpose To assess the performance of the cardiovascular SCORE2 risk prediction model in ethnic and socioeconomic subgroups. Methods External validation of the SCORE2 risk model in a population-based study stratified by ethnicity (country of origin), and socioeconomic status (disposable household income). Results In total 6966 cardiovascular disease (CVD) events were observed versus 5495 events predicted by the SCORE2 model. Relative underprediction was the same in men and women (observed/mean predicted (OE-ratio) 1.3 and 1.2 in men and women, respectively). Underprediction was largest in the Surinamese subgroup (OE-ratio 1.9, in both men and women), particularly in the low socioeconomic Surinamese subgroups (OE-ratio 2,5 and 2.1 in men and women, respectively). In Dutch and the combined "other ethnicities", underprediction was observed in low socioeconomic subgroups too: OE-ratio 1.5 and 1.7 in men and women, respectively. Discrimination showed moderate performance in all subgroups, with C-statistics between 0.65 and 0.72, which is similar to discrimination of the SCORE2 model in the development study. Conclusions The SCORE 2 CVD risk model for low-risk countries (as the Netherlands are) was found to under predict CVD risk, particularly in low socioeconomic and Surinamese ethnic subgroups. Taking both socioeconomic status and ethnicity into account as predictors in CVD risk models is desirable for adequate CVD risk prediction and counselling.

Age-Related Differences in Anxiety and Depression Diagnosis among Adults in Puerto Rico during the COVID-19 Pandemic.

Residents of Puerto Rico bear a significant burden of mental health disorders, which the COVID-19 pandemic may have exacerbated. However, age-specific data on these disorders during the pandemic in Puerto Rico are scarce. This study evaluated age-related differences in the self-reported diagnosis of depression and anxiety among adults ≥18 years residing in Puerto Rico during the pandemic. An anonymous online survey was administered from December 2020 to February 2021 via Google Forms to measure self-reported sociodemographic and behavioral characteristics and physician-diagnosed mental health disorders. Multivariable logistic regression models were conducted for each self-reported mental health diagnosis after adjusting for sex, education, income, marital status, chronic diseases, and smoking. Out of 1945 adults, 50% were aged 40 years and over. Nearly 24% of responders self-reported an anxiety diagnosis, whereas 15.9% reported depression. Compared to individuals 50 years and over, those 18-29 y, 30-39 y, and 40-49 y had significantly higher odds of an anxiety diagnosis (OR = 1.84, 95% CI = 1.34-2.55; OR = 1.50, 95% CI = 1.09-2.07; and OR = 1.37, 95% CI = 1.01-1.87, respectively). However, no association between age and depression diagnosis was found. Despite anxiety and depression being frequent disorders during the pandemic in this sample, younger adults bear a higher burden of anxiety. Further research is needed to allocate appropriate mental health resources during emergencies according to population subgroups.

Cancer Prevention Literacy among Different Population Subgroups: Challenges and Enabling Factors for Adopting and Complying with Cancer Prevention Recommendations.

It is estimated that 40% of the cancer cases in Europe could be prevented if people had better information and tools to make healthier choices and thereby reduce some of the most important cancer risk factors. The aim of this study is to gain knowledge and understanding about cancer prevention literacy among people with intellectual disabilities, immigrants, young people and young cancer survivors. In this qualitative study, we conducted six online focus-group interviews, including forty participants, to explore the cancer prevention literacy of four population subgroups and determine how cancer prevention recommendations according to the European Code Against Cancer (ECAC) were perceived. The analysis resulted in the following main categories: current health beliefs and their impacts on how the ECAC recommendations were perceived, communication strategies and sources benefiting or hindering cancer prevention information from reaching out, and how vulnerabilities in these subgroups impact cancer prevention literacy. To improve cancer prevention literacy in Europe, more attention is needed this topic to overcome barriers among different population subgroups. Recommendations include improved and adapted cancer prevention information, support to individuals, as well as societal support, such as easy-access screening and vaccination programmes and regulations related to tobacco, alcohol, and diet.

Association between DRD2/ANKK1 rs1800497 C > T polymorphism and post-traumatic stress disorder susceptibility: a multivariate meta-analysis.

Previous studies have suggested that the DRD2/ANKK1 rs1800497 C > T polymorphism plays a critical role in the risk of post-traumatic stress disorder (PTSD). However, published data are inconsistent or even contradictory. Therefore, we conducted a meta-analysis to explore the underlying correlation between the rs1800497 C > T polymorphism and PTSD risk. A total of five online databases were searched, and all related studies were reviewed up to 1 October 2022. Critical information was extracted, and quality assessment was conducted for all included studies. Multivariate meta-analyses were performed for the genetic model choice, and the odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated to examine the statistical power of the genetic models. In addition, heterogeneity, sensitivity, cumulative analysis, and publication bias were analyzed to guarantee statistical power. Overall, 12 observational studies involving 5,515 subjects were included and analyzed in this meta-analysis. Multivariate analysis indicated that a co-dominant genetic model was most likely the best choice. Pooled results revealed an elevated PTSD risk in mutated homozygote TT carriers in the general population (TT vs. CC: OR = 1.73, 95% CI = 1.14-2.62, P = 0.01, I2 = 58.9%) and other specific subgroups. Moreover, similar results were observed in other genetic models using univariate analysis. Current evidence suggests that the DRD2/ANKK1 rs1800497 C > T polymorphism may contribute to PTSD susceptibility.

The Impact of Supplemental Nutrition Assistance Program (SNAP) Enrollment on Health and Cost Outcomes

Summary In the United States, food insecurity is prevalent in low-income households and is associated with elevated risk of chronic disease, poor health outcomes, and excess avoidable health care utilization and costs. Individuals dually eligible for Medicare and Medicaid are a unique low-income group with significant social challenges, complex health conditions, and higher-than-average health care costs. Interventions to address social determinants of health (SDOH) — such as food insecurity — have the potential to reduce avoidable health care utilization and cost, and the health insurers are increasingly integrating them into care delivery. Using Supplemental Nutrition Assistance Program (SNAP) data from the Pennsylvania Department of Human Services and health care claims data from an integrated health care delivery and finance system, this study reports findings of an innovative collaboration between a health care payer and a nonprofit organization to enroll dual-eligible individuals in SNAP. Data were collected prospectively from 661 SNAP-enrolled individuals and 1,320 individuals in a matched comparison group to explore the effect of SNAP enrollment on health care utilization (inpatient hospitalization, ED visits, and unplanned care) and health care costs (medical, pharmacy, and total cost of care) during the first and second years after SNAP enrollment. Data analysis was designed to answer questions that are important to payer and health care stakeholders, namely, when (i.e., how long after the start of SNAP benefits), how (i.e., what health outcome), and for whom (i.e., what population subgroups) is SNAP enrollment associated with health and cost outcomes. Compared with a propensity score–matched group not enrolled in SNAP, the SNAP enrollees had 16% and 21% lower total health care costs and pharmacy costs, respectively, within the first year postenrollment in SNAP. These group differences remained significant during the second year postenrollment, when SNAP enrollees had 16% and 20% lower total health care costs and pharmacy costs, respectively. Specifically, lower costs were seen among individuals who do not qualify for skilled nursing care. This study contributes to the growing evidence that novel payer-led interventions to address SDOH can influence positive changes in health care utilization and cost reduction, especially among disadvantaged populations.

Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy.

To provide up-to-date and comprehensive US data tables to estimate future net resource use, including nonlabor market production, and examine distributional impacts of including nonhealth and future costs in cost-effectiveness results. Using a published US cancer prevention simulation model, the paper evaluated the lifetime cost effectiveness of implementing a 10% excise tax on processed meats across age- and sex-specific population subgroups. The model examined multiple scenarios accounting for cancer-related healthcare expenditure (HCE) only, cancer-related and unrelated background HCE, adding productivity benefits (i.e., patient time, cancer-related productivity loss, and background labor and nonlabor market production), and with nonhealth consumption costs, adjusted for household economies of scale. Additional analyses include using population-average versus age-sex-specific estimates for quantifying production and consumption value, as well as comparing direct model estimation versus postcorrections with Meltzer's approximation for incorporating future resource use. Accounting for nonhealth and future costs impacted cost-effectiveness results across population subgroups, often leading to changes in "cost-saving" determination. Including nonlabor market production had a noticeable impact on estimating future resource use and reduced the bias toward undervaluing productivity among females and older populations. The use of age-sex-specific estimates resulted in less favorable cost-effectiveness results compared with population-average estimates. Meltzer's approximation provided reasonable corrections among the middle-aged population for re-engineering cost-effectiveness ratios from a healthcare sector to a societal perspective. With updated US data tables, this paper can help researchers conduct a comprehensive value assessment to reflect net resource use (health and nonhealth resource use minus production value) from a societal perspective.