Influence of neighborhood-level factors on social support in early-stage breast cancer patients and controls

Living alone and cancer mortality by race/ethnicity and socioeconomic status among US working-age adults

BACKGROUND

Previous studies have shown an association between living alone and cancer mortality; however, findings by sex and race/ethnicity have generally been inconsistent, and data by socioeconomic status are sparse. The association between living alone and cancer mortality by sex, race/ethnicity, and socioeconomic status in a nationally representative US cohort was examined.

METHODS

Pooled 1998-2019 data for adults aged 18-64 years at enrollment from the National Health Interview Survey linked to the National Death Index (N = 473,648) with up to 22 years of follow-up were used to calculate hazard ratios (HRs) for the association between living alone and cancer mortality.

RESULTS

Compared to adults living with others, adults living alone were at a higher risk of cancer death in the age-adjusted model (HR, 1.32; 95% CI, 1.25-1.39) and after additional adjustments for multiple sociodemographic characteristics and cancer risk factors (HR, 1.10; 95% CI, 1.04-1.16). Age-adjusted models stratified by sex, poverty level, and educational attainment showed similar associations between living alone and cancer mortality, but the association was stronger among non-Hispanic White adults (HR, 1.33; 95% CI, 1.25-1.42) than non-Hispanic Black adults (HR, 1.18; 95% CI, 1.05-1.32; p value for difference < .05) and did not exist in other racial/ethnic groups. These associations were attenuated but persisted in fully adjusted models among men (HR, 1.13; 95% CI, 1.05-1.23), women (HR, 1.09; 95% CI, 1.01-1.18), non-Hispanic White adults (HR, 1.13; 95% CI, 1.05-1.20), and adults with a college degree (HR, 1.22; 95% CI, 1.07-1.39).

CONCLUSIONS

In this nationally representative study in the United States, adults living alone were at a higher risk of cancer death in several sociodemographic groups.

Measuring the Health Related Quality of Life and Economic Burden of Illness Among Migrant Workers With Pneumoconiosis

OBJECTIVE

The aim of the study is to evaluate the living status of migrant workers with pneumoconiosis (MWP) in China with regard to health-related quality of life (QOL) and economic burden of illness.

METHODS

An on-site investigation of 685 respondents in 7 provinces is conducted. Quality of life scores are derived using the self-made scale, and human capital method and disability-adjusted life year are applied to value the economic loss. Multiple linear regression and K-means clustering analysis are performed for further investigation.

RESULTS

Respondents have an overall lower QOL of 64.85 ± 7.04 and significant average loss of Ұ344.5 thousand per capita, where age and provincial heterogeneity generally exist. Pneumoconiosis stage and assistance condition are 2 significant predictors affecting MWP's living conditions.

CONCLUSIONS

The evaluation of QOL and economic loss would contribute to the formulation of targeted countermeasures for MWP to enhance their well-being.

Nomograms for predicting overall survival and cancer-specific survival in patients with head and neck non-Hodgkin lymphoma: A population-based study

This study aimed to develop comprehensive nomograms for patients with head and neck non-Hodgkin lymphoma (H&NNHL) to determine their overall survival (OS) and cancer-specific survival (CSS). In this study, 602 H&NNHL patients were analyzed from the Surveillance, Epidemiology, and End Results database. The R software was used to randomly divide the patients into the training cohort (n = 421) and the validation cohort (n = 181) in a 7-to-3 ratio. To develop nomograms for projecting OS and CSS, multivariable Cox regression was used to acquire independent predictive factors. We have constructed nomograms to predict the 3-, 5-, and 8-year OS and CSS probabilities of H&NNHL patients. The consistency index of the nomograms for OS (CSS) was 0.74 (0.778) and 0.734 (0.775), in the training and validation cohort respectively, and was higher than that of the Ann Arbor staging system. Calibration plotting showed that our models have good calibration ability. Moreover, assessments of the area under the time-dependent receiver operating characteristics curve, net reclassification improvement, integrated discrimination improvement and decision curve analysis demonstrated that our nomograms performed better and were more clinically useful than the Ann Arbor staging system. This is the first research to establish comprehensive nomograms for predicting OS and CSS in patients with H&NNHL at 3-, 5-, and 8-year. The validation of the models demonstrated good performance. It can provide clinicians with reference information for determining customized clinical treatment options and providing personalized prognoses. Indexes such as the concordance index, the area under the time-dependent receiver operating characteristics curve, calibration curves, the net reclassification improvement, the integrated discrimination improvement, and decision-curve analysis were used to compare new survival models to the classical Ann Arbor staging system.

Factors associated with initiation and continuation of endocrine therapy in women with hormone receptor-positive breast cancer

Background

Despite benefits of endocrine therapy (ET) for patients with hormone-receptor (HR)-positive breast cancer, many patients do not initiate or discontinue ET against recommendations.

Methods

We identified variables associated with ET initiation and continuation, analyzing pooled data from two longitudinal studies at a National Cancer Institute comprehensive cancer center in St. Louis, Missouri. The sample included 533 women with newly diagnosed, non-metastatic, HR-positive breast cancer who completed interviews at enrollment and 6, 12, and 24 months after definitive surgical treatment. Logistic regression models estimated the adjusted odds ratio and 95% confidence interval (aOR [95% CI]) for each of self-reported ET initiation by the 12-month interview and continuation for ≥12 months by the 24-month interview in association with self-reported diabetes, elevated depressed mood, menopausal-symptom severity and obesity, adjusting for race, age, insurance status, chemotherapy, and radiation therapy.

Results

Overall, 81.4% (434/533) of patients initiated ET, and 86.5% (371/429) continued ET ≥12 months. Patients with diabetes had lower odds of initiating ET (0.50 [0.27-0.91]). Patients reporting greater menopausal-symptom severity had lower odds of continuing ET (0.72 [0.53-0.99]).

Conclusion

Efforts to increase ET initiation among patients with diabetes and better manage severe menopausal symptoms among ET users might promote ET continuation.

Clinical trial information

ClinicalTrials.gov: #NCT00929084.

A model established using marital status and other factors from the Surveillance, Epidemiology, and End Results database for early stage gastric cancer

Currently, the postoperative prognosis of early stage gastric cancer (GC) is difficult to accurately predict. In particular, social factors are not frequently used in the prognostic assessment of early stage GC. Therefore, this study aimed to combine the clinical indicators and social factors to establish a predictive model for early stage GC based on a new scoring system. A total of 3647 patients with early stage GC from the Surveillance, Epidemiology, and End Results database were included in this study. A Kaplan-Meier survival analysis was used to compare differences in prognosis between different marital status, as an innovative prognostic indicator. Univariate and multivariate analyses were used to screen available prediction factors and then build a nomogram using the Cox proportional hazard regression model. The univariate analysis and multivariate analysis revealed that age at diagnosis, sex, histology, stage_T, surgery, tumor size, and marital status were independent prognostic factors of overall survival. Both the C-index and calibration curves confirmed that the nomogram had a great predictive effect on patient prognosis in training and testing sets. This nomogram based on clinical indicators and marital status can effectively help patients with early stage GC in the future.

Social Support of Organ Donor Families in China: A Quantitative and Qualitative Study

Background: Donor families experienced a difficult time during and after the process of organ donation. There is a necessity to understand the support they received and what they need to help them get through a painful time. This study aimed to investigate the social support level and social support needs of the donor families in China. Methods: A cross-sectional study was conducted among 102 donor families using a questionnaire to investigate their demographics and social support level. To further understand their social support needs, in-depth interviews were conducted among 9 donor families. Results: Findings of the study showed that (1) Most of the family members (74, 72.6%) lacked social support, and only a small number of families (28, 27.5%) received sufficient social support (2). The coping style had an impact on the overall social support level (P = 0.014) (3). There was a lack of emotional support, information support and material support toward the donor's family members. Both emotional support and material support are significantly needed. Conclusions: The overall social support level remained insufficient and the utilization degree of social support was low. Organ donor families are in desperate need of material and emotional support. The level of social support is largely influenced by the donor familie's coping style. Compared with a negative coping style, donor families who adopted a positive coping style acquire more social support.

Community identification, social support, and loneliness: The benefits of social identification for personal well-being

Levels of loneliness across the world have reached epidemic proportions, and their impact upon population health is increasingly apparent. In response, policies and initiatives have attempted to reduce loneliness by targeting social isolation among residents of local communities. Yet, little is known about the social psychological processes underpinning the relationships between community belonging, loneliness, and well-being. We report three studies which apply the Social Identity Approach to Health to examine the mechanisms underpinning the relationships between community identity, health, and loneliness. Hypotheses were tested through secondary analyses of the 2014-2015 UK Community Life Survey (N = 4,314) as well as bespoke household surveys in a more (N = 408) and less (N = 143) affluent community at high risk of loneliness. Studies 1 and 2a demonstrated that the relationship between community identification and well-being was mediated by increased social support and reduced loneliness. In Study 2b, community identification predicted well-being through reduced loneliness, but not through social support. Our results are the first to evidence these relationships and suggest that community-level interventions that enhance community identification and peer support can promote a potential Social Cure for loneliness.

The perceived social support by Iranian women with breast cancer: a qualitative study

BACKGROUND

Social support has an important role in improving health outcomes and is considered as one of the crucial aspects of the modern care in cancer patients. Therefore, this article aims to explain the perceived experiences of women suffering from breast cancer towards social support.

METHODS

In this qualitative study, 22 women with breast cancer were selected through purposive sampling from 5 hospitals affiliated to Urmia University of Medical Sciences. The data were collected through semi-structured interviews and were analyzed by the Conventional Qualitative Content Analysis and Graneheim's and Lundman's approach, using MAXQDA software, version 10.

RESULTS

After completion of the analyzing process, 6 categories were appeared including "creating an empathic atmosphere by family and community," "being in relationship with others," "adaption to disease," "giving meaning to life," "satisfaction with the role of healthcare providers," and "the impact of others support in fighting with the disease."

CONCLUSION

According to the findings, good social support during the illness can result in the spiritual, mental, and physical well-being of the patients and is one of the most effective factors in fighting the disease and feeling of recovery. The findings of this study can be used to develop plans to help the patients to achieve more support from the family, healthcare providers, and the community and even providing the required supportive care for this group of women.

Impact of individual- and area-level race/ethnicity on illness intrusiveness among cancer survivors

Many cancer survivors experience illness intrusion or disruption in various life domains from cancer. The socioecological model posits that individual health status is produced by the interaction of individual biology and their surrounding physical, social, and cultural environment. Despite evidence of the need to consider such hierarchical influences, little is known about the impact of area-level factors on cancer-related outcomes, including illness intrusiveness. Data from 993 breast, colorectal, and prostate cancer survivors within the first year of completing treatment were analyzed. Individual-level data for the Illness Intrusiveness Ratings Scale were linked to census tract-level data to characterize neighborhood conditions. Logistic regression modeled the association between individual-level variables, neighborhood-level racial composition, and the interaction between individual and area-level race on illness intrusiveness. A significant number of survivors (232, 23.4%) reported relatively high illness intrusiveness (score >28). The model including the interaction between area- and individual-level race exhibited significantly improved model fit (p < .05). The final model showed that racial minorities living in areas with a higher percentage of racial minorities had higher odds of greater illness intrusion when compared to Whites living in areas with a low percentage of racial minorities (adjusted odds ratio: 1.65, confidence interval: 1.01, 2.68). Results suggest that area-level factors can have profound effects on survivors' processing of their past cancer experience. Findings may support the collective resources model which posits that the effect of area deprivation is greater in certain sociodemographic groups who may find it difficult to seek resources outside of their living area.

Social support and breast cancer screening in rural Appalachia

PURPOSE

Women in the Appalachian region have a high mortality rate attributable to cancer in spite of lower incidence of cancer compared with the general US population. Empirical evidence suggests that social support influences cancer outcomes, including adherence to screening guidelines and treatment recommendations. The purpose of this study is to examine the impact of social support on breast cancer screening patterns in a sample of rural Appalachian women.

METHODS

This paper reports the results of analyses of baseline cross-sectional data on breast cancer screening collected during a community-based group-randomized trial. We used the 2010 National Health Institute Survey questionnaires and the Medical Outcomes Study Social Support Survey to assess screening behavior and perceived social support, respectively. Data were analyzed using ANCOVA and ANOVA to assess the mean social support on breast cancer screening patterns (frequently, irregularly, and rarely/never) and relevant sociodemographic variables.

FINDINGS

Of the eligible participant records analyzed (N = 289), 50% were married, 36% were employed, 20% attended college, 40% had no mammogram in 6 years, and 20% never had mammograms. Overall social support score was high at 73.1 (SD = 18.2). Association between breast cancer screening patterns and social support scores was not statistically significant at α < 0.05 (P value = 0.09).

CONCLUSIONS

Although social support as it measured in this study does not show significant associations with screening patterns, it is important to understand how social network structures may influence screening patterns. Familial and social roles/responsibilities that result in reported social support may also be the barrier to cancer screening and other prevention health behaviors.

Gender inequalities in the association between area deprivation and perceived social support: a cross-sectional multilevel analysis at the municipality level in Germany

OBJECTIVES

To investigate the association between area deprivation at municipality level with low perceived social support, independent of individual socioeconomic position and demographic characteristics. To assess whether there are gender inequalities in this association.

DESIGN

Cross-sectional multilevel analysis of survey data.

SETTING

Germany.

PARTICIPANTS

3350 men and 3665 women living in 167 municipalities throughout Germany participating in the 'German Health Interview and Examination Survey for Adults' (DEGS1 2008-2011) as part of the national health monitoring.

OUTCOME

Perceived social support as measured by Oslo-3 Social Support Scale.

RESULTS

Prevalence of low perceived social support was 11.4% in men and 11.1% in women. Low social support was associated in men and women with sociodemographic characteristics that indicate more disadvantaged living situations. Taking these individual-level characteristics into account, municipal-level deprivation was independently associated with low perceived social support in men (OR for the most deprived quintile: 1.80 (95% CI 1.14 to 2.84)), but not in women (OR 1.22 (95% CI 0.78 to 1.90)).

CONCLUSION

The results of our multilevel analysis suggest that there are gender inequalities in the association of municipal-level deprivation with the prevalence of low perceived social support in Germany independent of individual socioeconomic position. Community health interventions aiming at promotion of social support among residents might profit from a further understanding of the observed gender differences.

The sociology of cancer: a decade of research

Biomedicine is often presented as the driving force behind improvements in cancer care, with genomics the latest innovation poised to change the meaning, diagnosis, treatment, prevention and lived experience of cancer. Reviewing sociological analyses of a diversity of patient and practitioner experiences and accounts of cancer during the last decade (2007-17), we explore the experiences of, approaches to and understandings of cancer in this period. We identify three key areas of focus: (i) cancer patient experiences and identities; (ii) cancer risk and responsibilities and (iii) bioclinical collectives. We explore these sociological studies of societal and biomedical developments and how sociologists have sought to influence developments in cancer identities, care and research. We end by suggesting that we extend our understanding of innovations in the fields of cancer research to take better account of these wider social and cultural innovations, together with patients, activists' and sociologists' contributions therein.

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps

Adverse neighborhood conditions play an important role beyond individual characteristics. There is increasing interest in identifying specific characteristics of the social and built environments adversely affecting health outcomes. Most research has assessed aspects of such exposures via self-reported instruments or census data. Potential threats in the local environment may be subject to short-term changes that can only be measured with more nimble technology. The advent of new technologies may offer new opportunities to obtain geospatial data about neighborhoods that may circumvent the limitations of traditional data sources. This overview describes the utility, validity and reliability of selected emerging technologies to measure neighborhood conditions for public health applications. It also describes next steps for future research and opportunities for interventions. The paper presents an overview of the literature on measurement of the built and social environment in public health (Google Street View, webcams, crowdsourcing, remote sensing, social media, unmanned aerial vehicles, and lifespace) and location-based interventions. Emerging technologies such as Google Street View, social media, drones, webcams, and crowdsourcing may serve as effective and inexpensive tools to measure the ever-changing environment. Georeferenced social media responses may help identify where to target intervention activities, but also to passively evaluate their effectiveness. Future studies should measure exposure across key time points during the life-course as part of the exposome paradigm and integrate various types of data sources to measure environmental contexts. By harnessing these technologies, public health research can not only monitor populations and the environment, but intervene using novel strategies to improve the public health.