scholarly journals Older people’s beliefs on prevention and etiology of cancer in Poland. Implications for health promotion

2015 ◽  
Vol 78 (3) ◽  
pp. 289-296
Author(s):  
Małgorzata Synowiec-Piłat
Keyword(s):  
Older Adults ◽  
Health Promotion ◽  
Cancer Incidence ◽  
Mortality Rates ◽  
Control Beliefs ◽  
External Locus ◽  
Raising Awareness ◽  
Oncology Care ◽  
The Impact ◽  
Interview Questionnaire

AbstractIntroduction: Poland is among the countries with the highest mortality rates from cancer, and 75% of deaths from cancer occur after the age of 60. In the case of cancer, particular attention should be paid to beliefs people have in society.Aim of research: To learn about older people’s beliefs about the importance of preventive oncology care, individual’s responsibility for getting cancer, and the etiology of cancer. We analyzed the association between beliefs about cancer and the age of the respondents.Materials and Methods: The study was carried out in 2012 with a sample of 910 adult residents of Wrocław. An interview questionnaire was used. The article presents data on older adults (aged older than 56 years) (N = 188).Results: The vast majority of respondents recognize the need to engage in preventive oncology care. Only 5% of respondents hold fatalistic beliefs, 50% of older adults believe that “if someone is sick with cancer, it does not depend on them”. An association was confirmed that the oldest adults (65 years and older) are more likely to agree with the above statement, 34% disagree with the belief that “if someone is sick with cancer it depends largely on the lifestyle and the environment”.Discussion: In developing strategies for cancer prevention aimed at older adults, special attention should be paid to raising awareness about the impact of lifestyle on cancer incidence, increasing the sense of responsibility for their health, and reducing older adult’s “external locus of control” beliefs.

Predicting future cancer incidence by age and gender.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 1559-1559 ◽  
Author(s):  
Wesley B. Garner ◽  
Benjamin D. Smith ◽  
Jacob Ezra Shabason ◽  
Grant Richard Williams ◽  
Michelle Y. Martin ◽  
...  
Keyword(s):  
Older Adults ◽  
Cancer Incidence ◽  
The United States ◽  
Incidence Rates ◽  
Population Projections ◽  
Age And Gender ◽  
Total Cancer ◽  
And Gender ◽  
The Impact ◽  
Cancer Incidence Rates

1559 Background: Cancer remains a substantial and unique burden on society. While the impact of changing demographics on cancer incidence has previously been characterized (Smith et al, JCO, 2009), this has not been done with updated population data. Our objective was to update projections on the number of new cancer diagnoses in the United States by age and gender through 2040. Methods: Population-based cancer incidence data were obtained using SEER 18 delay-adjusted data. Population estimates were made by age, race, and gender using the 2010 US Census data population projections to calculate future cancer incidence rates. Trends in age- adjusted incidence rates for 23 cancer types were calculated as previously described (Edwards et al, Cancer, 2014). Results: From 2020 to 2040 the projected total cancer incidence will increase by almost 30% from 1.86 million to 2.4 million. This increase is due to the projected increase in population growth, particularly in older individuals. The population of older adults will represent a growing proportion of total cancer diagnoses. Specifically, patients ≥65 years old will make up 69% of all new cancer diagnoses, while 13% of new diagnoses will be in patients ≥85 years old by 2040 (see Table). Cancer diagnoses in females are projected to rise 27%, while male cancer diagnoses are projected to increase by 32% from 2020 to 2040. The incidence rates for lung, colorectal, and prostate cancer are expected to decline, while those for thyroid, liver, melanoma and myeloma are expected to increase. Conclusions: The landscape of cancer care will continue to change over the next several decades. The burden of disease will remain substantial and will continue to disproportionately affect older adults. The growing proportion of older cancer patients and changes in site-specific cancer incidence rates remain of particular interest. These projections should help guide future health policy and research priorities. [Table: see text]

Future of Cancer Incidence in the United States: Burdens Upon an Aging, Changing Nation

2009 ◽  
Vol 27 (17) ◽  
pp. 2758-2765 ◽  
Author(s):  
Benjamin D. Smith ◽  
Grace L. Smith ◽  
Arti Hurria ◽  
Gabriel N. Hortobagyi ◽  
Thomas A. Buchholz
Keyword(s):  
United States ◽  
Older Adults ◽  
Cancer Incidence ◽  
The United States ◽  
Census Bureau ◽  
Incidence Rates ◽  
Population Projections ◽  
Demographic Changes ◽  
Younger Adults ◽  
The Impact

Purpose By 2030, the United States' population will increase to approximately 365 million, including 72 million older adults (age ≥ 65 years) and 157 million minority individuals. Although cancer incidence varies by age and race, the impact of demographic changes on cancer incidence has not been fully characterized. We sought to estimate the number of cancer patients diagnosed in the United States through 2030 by age and race. Methods Current demographic-specific cancer incidence rates were calculated using the Surveillance Epidemiology and End Results database. Population projections from the Census Bureau were used to project future cancer incidence through 2030. Results From 2010 to 2030, the total projected cancer incidence will increase by approximately 45%, from 1.6 million in 2010 to 2.3 million in 2030. This increase is driven by cancer diagnosed in older adults and minorities. A 67% increase in cancer incidence is anticipated for older adults, compared with an 11% increase for younger adults. A 99% increase is anticipated for minorities, compared with a 31% increase for whites. From 2010 to 2030, the percentage of all cancers diagnosed in older adults will increase from 61% to 70%, and the percentage of all cancers diagnosed in minorities will increase from 21% to 28%. Conclusion Demographic changes in the United States will result in a marked increase in the number of cancer diagnoses over the next 20 years. Continued efforts are needed to improve cancer care for older adults and minorities.

scholarly journals Changes in cancer incidence and mortality in Australia over the period 1996–2015

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Qingwei Luo ◽  
Julia Steinberg ◽  
Dianne L. O’Connell ◽  
Paul B. Grogan ◽  
Karen Canfell ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Cancer Incidence ◽  
Mortality Rates ◽  
Unknown Primary ◽  
Australian Study ◽  
Cancer Incidence Rate ◽  
Cancer Rate ◽  
Female Breast ◽  
Incidence And Mortality ◽  
The Impact

Abstract Objective A previous Australian study compared the observed numbers of cancer cases and deaths in 2007 with the expected numbers based on 1987 rates. This study examines the impact of cancer rate changes over the 20-year period 1996–2015, for people aged under 75 years. Results The overall age-standardised cancer incidence rate increased from 350.7 in 1995 to 364.4 per 100,000 in 2015. Over the period 1996–2015, there were 29,226 (2.0%) more cases (males: 5940, 0.7%; females: 23,286, 3.7%) than expected numbers based on 1995 rates. Smaller numbers of cases were observed compared to those expected for cancers of the lung for males and colorectum, and cancers with unknown primary. Larger numbers of cases were observed compared to those expected for cancers of the prostate, thyroid and female breast. The overall age-standardised cancer mortality rate decreased from 125.6 in 1995 to 84.3 per 100,000 in 2015. During 1996 to 2015 there were 106,903 (− 20.6%) fewer cancer deaths (males: − 69,007, − 22.6%; females: − 37,896, − 17.9%) than expected based on the 1995 mortality rates. Smaller numbers of deaths were observed compared to those expected for cancers of the lung, colorectum and female breast, and more cancer deaths were observed for liver cancer.

scholarly journals Confusion and a cough: an experience of COVID-19 in dementia patients

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S25-S25
Author(s):  
Emily Giles
Keyword(s):  
Older Adults ◽  
Patient Group ◽  
Mortality Rates ◽  
University Hospital ◽  
Patient Demographic ◽  
Atypical Symptoms ◽  
Dementia Patients ◽  
Risk Stratification Tool ◽  
Specific Symptoms ◽  
The Impact

AimsTo assess the clinical presentation and outcomes of COVID-19 positive patients with dementia and to evaluate the suitability of the “4C mortality score.” Older adults with dementia are a vulnerable patient group therefore it was predicted that this patient demographic would have poorer outcomes and high mortality rates. Ward 24 is an organic old age psychiatry ward in University Hospital Monklands, Lanarkshire for patients with advanced dementia. Older adults have been found to have atypical presentations and non-specific symptoms in COVID-19, however given COVID is still a new and evolving disease, little is known about the impact on dementia patients. The 4C mortality score was designed to predict in-hospital mortality for hospitalised COVID-19 patients using a number of clinical parameters.MethodData were collected retrospectively from all inpatients on ward 24 testing positive for COVID-19 between October and December 2020. Data were collected using online MIDIS entries, paper notes, NEWS charts and Clinical Portal. A 4C mortality score was calculated for each patient using an online calculator based on the data collected.Result15 patients tested positive for COVID-19; 47% male and 53% female, age range between 64 and 92 years old. 67% of patients had 3 or more comorbidities and 89% had either a high or very high 4C mortality score. Mortality from COVID-19 was 13% and 20% of patients required oxygen. 27% of patients were asymptomatic, these patients also had the lower risk mortality scores. 67% presented with pyrexia, 33% had a cough and 13% had breathlessness. Non-specific symptoms were also seen; 53% had fatigue, 20% had diarrhoea and 20% had unresponsive episodes. Post COVID delirium was seen in 20% of patients.ConclusionMortality rates were lower than expected, indicating that the 4C mortality score might not be appropriate to use in this patient demographic due to confounding factors. Atypical symptoms were common in patients, with a variability of clinical presentations within the patient demographic. These findings suggest the importance of having a low threshold for COVID-19 infection even in the absence of typical symptoms. Development of an alternative risk stratification tool would be beneficial for this patient group, with further studies needed on a larger scale to facilitate this.

Control Beliefs and Dehumanization

2017 ◽  
Vol 76 (2) ◽  
pp. 81-86 ◽  
Author(s):  
Benoit Testé
Keyword(s):  
Locus Of Control ◽  
Control Beliefs ◽  
Western Society ◽  
External Control ◽  
Social Perceptions ◽  
External Locus ◽  
Internal Locus Of Control ◽  
External Locus Of Control ◽  
The Mind ◽  
The Impact

Abstract. The present research examined the impact of the expression of internal versus external control beliefs on attributions of humanness. Building on previous findings on the cultural norm of internality and the dehumanization of others in social perceptions, we hypothesized that, in a Western society, an individual’s expression of an internal locus of control (i.e., internality) results in a greater degree of humanization of that individual by others than an individual’s expression of an external locus of control (i.e., externality). Two studies examined the effect of a target’s expression of internality (vs. externality) on the attribution or denial of humanness to that target. We measured the targets’ degree of humanization via the mentalization of each target, assessed using the Mind Attribution Scale, and via attributions of uniquely vs. nonuniquely human characteristics (emotions in Study 1, traits in Study 2). Participants also judged the target’s likability. In line with our hypothesis, the target’s expression of internality (compared to externality) consistently resulted in the participants making stronger attributions of humanness to the target. In addition, covariance analyses showed that the participants ascribed more humanness to targets with an internal than with an external locus of control, independent of the target’s likability.

scholarly journals Assessing Progress in Reducing the Burden of Cancer Mortality, 1985-2005

2014 ◽  
Vol 32 (5) ◽  
pp. 444-448 ◽  
Author(s):  
Samir Soneji ◽  
Hiram Beltrán-Sánchez ◽  
Harold C. Sox
Keyword(s):  
Lung Cancer ◽  
Cancer Incidence ◽  
Cancer Mortality ◽  
Lung Cancer Mortality ◽  
Mortality Rates ◽  
Years Of Life Lost ◽  
Average Person ◽  
Two Factors ◽  
The Impact ◽  
Cvd Mortality

Purpose Measuring the effect of cancer interventions must take into account rising cancer incidence now that people live longer because of declines in mortality from cardiovascular disease (CVD). Cancer mortality rates in the population do not accomplish this objective. We sought a measure that would reveal the effects of changing mortality rates from other diseases. Methods We obtained annual breast, colorectal, lung, and prostate cancer mortality rates from the Surveillance, Epidemiology, and End Results registries; we obtained noncancer mortality rates from national death certificates, 1975 to 2005. We used life-table methods to calculate the burden of cancer mortality as the average person-years of life lost (PYLL) as a result of cancer (cancer-specific PYLL) and quantify individual—and perhaps offsetting—contributions of the two factors that affect cancer-specific PYLL: mortality rates as a result of cancer and other-cause mortality. Results Falling cancer mortality rates reduced the burden of mortality from leading cancers, but increasing cancer incidence as a result of decreasing other-cause mortality rates partially offset this progress. Between 1985 and 1989 and between 2000 and 2004, the burden of lung cancer in males declined by 0.1 year of life lost. This decline reflects the sum of two effects: decreasing lung cancer mortality rates that reduced the average burden of lung cancer mortality by 0.33 years of life lost and declining other-cause mortality rates that raised it by 0.23 years. Other common cancers showed similar patterns. Conclusion By using a measure that accounts for increased cancer incidence as a result of improvements in CVD mortality, we find that prior assessments have underestimated the impact of cancer interventions.

scholarly journals Factors that influence implementation at scale of a community-based health promotion intervention for older adults

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Joanie Sims-Gould ◽  
Heather A. McKay ◽  
Christa L. Hoy ◽  
Lindsay Nettlefold ◽  
Samantha M. Gray ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Promotion ◽  
Older Adult ◽  
Contextual Factors ◽  
Scale Up ◽  
Project Team ◽  
Successful Implementation ◽  
Evidence Based ◽  
Health Promotion Intervention ◽  
The Impact

Abstract Background Despite the many known benefits of physical activity (PA), relatively few older adults are active on a regular basis. Older adult PA interventions delivered in controlled settings showed promising results. However, to achieve population level health impact, programs must be effectively scaled-up, and few interventions have achieved this. To effectively scale-up it is essential to identify contextual factors that facilitate or impede implementation at scale. Our aim is to describe factors that influence implementation at scale of a health promotion intervention for older adults (Choose to Move). This implementation evaluation complements our previously published study that assessed the impact of Choose to Move on older adult health indicators. Methods To describe factors that influenced implementation our evaluation targeted five distinct levels across a socioecological continuum. Four members of our project team conducted semi-structured interviews by telephone with 1) leaders of delivery partner organizations (n = 13) 2) recreation managers (n = 6), recreation coordinators (n = 27), activity coaches (n = 36) and participants (n = 42) [August 2015 – April 2017]. Interviews were audio-recorded and professionally transcribed and data were analyzed using framework analysis. Results Partners agreed on the timeliness and need for scaled-up evidence-based health promotion programs for older adults. Choose to Move aligned with organizational priorities, visions and strategic directions and was deemed easy to deliver, flexible and adaptable. Partners also noted the critical role played by our project team as the support unit. However, partners noted availability of financial resources as a potential barrier to sustainability. Conclusions Even relatively simple evidence-based interventions can be challenging to scale-up and sustain. To ensure successful implementation it is essential to align with multilevel socioecological perspectives and assess the vast array of contextual factors that are at the core of better understanding successful implementation.

Efficacy of Healthy Aging Interventions for Adults With Intellectual and Developmental Disabilities: A Systematic Review

2020 ◽  
Author(s):  
Flavia H Santos ◽  
Johanna Zurek ◽  
Matthew P Janicki
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Health Promotion ◽  
Developmental Disabilities ◽  
Social Inclusion ◽  
Healthy Aging ◽  
Small Sample ◽  
Intellectual And Developmental Disabilities ◽  
Intrinsic Factors ◽  
The Impact

Abstract Background and Objectives There is a lack of information on intervention strategies employed for health promotion and disease prevention for older adults with intellectual and developmental disabilities (IDD), who usually experience poorer health compared to their peers without IDD. We carried out the first systematic review to scrutinize the impact of intrinsic factors (e.g., cognitive, mental, and physical health, etc.), on health status of older adults with IDD. Research Design and Methods To assess the efficacy of such interventions, we examined 23 articles including prospective ‘healthy aging’ interventions designed for adults with IDD. Searches were carried out in the databases Web of Science; Scielo; PsycINFO in April 2020. Articles were organized in thematic areas: (1) Physical activity and health nutrition (n=10); (2) Health education and health screening (n=6); (3) Social inclusion and community participation (n=3); and (4) Multi-components (n=4). Except for five RCT studies, the designs were mainly non-randomized, involving small sample sizes (Nrange = 8 to 379 participants), and lacking follow up. Results The studies included 2,398 men and women with IDD (ranging in age from 18 to 86 years [mean age: 44.3 yrs.]). Overall, intervention outcomes were mostly positive, however some negative outcomes were reported. Discussion and Implications In brief, healthy aging interventions for people with IDD remain scarce, incipient, and sporadic. We recommend that more attention needs to be given to active health promotion with people with IDD as a program practice among organizations and as a focal public policy among governments.

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