The Impact of Cancer Diagnosis on the Lifestyle and Habits of Patients Served at a Veterans Administration Hospital

Jazieh, Abdul Rahman; Foraida, M.; Ghouse, Masood; Khalil, Maisaa; Kopp, Monica; Savidge, Mildred A.

doi:10.1207/s15430154jce2103_12

Cited by 12 publications

(8 citation statements)

References 10 publications

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“…Systematically identifying and addressing patients' individual HRF profiles may have a great potential for at least two reasons: Firstly, it may simultaneously serve primary and secondary prevention purposes by preventing the onset of chronic diseases in patients who have not been diagnosed with chronic diseases yet, and by improving treatment success and prognosis in patients with chronic diseases. Although a large part of the general hospital patients is expected to have been diagnosed with chronic diseases in the past, our study supports previous findings showing that routine health care alone may not be sufficient for patients with chronic diseases to change their lifestyle [68,69]. Secondly, systematic multiple HRF screening and intervention may provide the means to reach most patients, including those most in need, namely male, older, lower educated, and unemployed patients as indicated by our findings.…”

Section: Discussionsupporting

confidence: 88%

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention

et al. 2019

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Background:Little is known about the clustering of behavioral health risk factors (HRFs), namely the occurrence of 16 specific combinations of tobacco smoking, at-risk alcohol use, overweight and physical inactivity in general hospital patients. Furthermore, social inequalities in HRFs, health and life expectancy are a major concern in public health. In order to establish the need for screening and intervention in general hospital care, the study aimed to determine the co-occurrence of HRFs in patients in four medical departments, and to investigate differences by gender, age and socio-economic characteristics. Methods: Over 17 months, a systematic multiple HRF screening was conducted at one general hospital in northeastern Germany. In total, 6251 18-64 year old patients (92% of eligibles) participated. Proportions and confidence intervals were calculated for all 16 HRF profiles stratified by department, gender, age group, school education, and employment status. Results: In total, 92.2% of the participants (58.6% male) reported ≥1 HRF, and 65.7% ≥2 HRFs. Men (71.2%), patients aged 35-49 (67.9%) and 50-64 years (69.5%), lower educated (79.0%), and unemployed (77.8%) patients had larger proportions of ≥2 HRFs than their counterparts. In all departments, the most common HRF profiles included overweight. HRF profiles that included alcohol and/ or smoking were more common in ear-nose-throat and trauma surgery than in internal medicine and general surgery patients. Men had higher rates concerning almost all HRF profiles including ≥2 HRFs and alcohol; women concerning profiles that included ≤2 HRFs and inactivity. In older patients, profiles with ≥2 HRFs including overweight; and in younger patients, profiles with smoking and/or alcohol were more common. In lower educated patients, profiles with ≥2 HRFs including inactivity; and in higher educated patients profiles with ≤2 HRFs including alcohol were more common. Compared to others, unemployed patients had higher rates of profiles with ≥3 HRFs including smoking. Conclusions: Two in three patients require interventions targeting two or more HRFs. The findings help to develop screening and brief intervention for patients with specific health risk profiles, that can reach most patients, including those most in need and those most hard to reach, with socio-economically disadvantaged people in particular. Registry: clinicaltrials.gov: NCT01291693.

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Section: Discussionsupporting

confidence: 88%

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention

et al. 2019

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“…However, the modification of certain habits is clearly difficult. According to Jazieh et al (8), less than a quarter of all patients with antecedents of cancer (mean age 68 years) modified their habit in a positive way. Smoking tobacco generates addiction as a result of its nicotine content, which acts upon the central nervous system, causing both physical and psychological dependency.…”

Section: Discussionmentioning

confidence: 99%

Changes in smoking habit among patients with a history of oral squamous cell carcinoma (OSCC)

Poveda-Roda¹,

Bagán²,

Jiménez-Soriano³

et al. 2010

Med Oral

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Objective: To determine the changes in smoking habit among patients with oral squamous cell carcinoma (OSCC) diagnosed and treated in the Service of Stomatology (Valencia University General Hospital. Valencia, Spain). Material and methods: The study involved 123 patients with a history of OSCC interviewed by telephone on their smoking habits at the time of the diagnosis and modifications in habits subsequently. The mean age at diagnosis was 60 years and 9 months (standard deviation, SD ± 12 years and 2 months). Males predominated (61.8%) over females (38.2%). The mean time from the diagnosis of OSCC to the survey was 4 years and 6 months (SD ± 3 years and 6 months). Results: Almost one-half of the patients (45.5%) were active smokers at the time of the diagnosis, with a mean duration of the habit of 34.9 years (SD ± 12 years and 7 months). In turn, 19.5% of the patients were ex-smokers at diagnosis, with an average of 13 years and 9 months (SD ± 9 years and 4 months) from smoking cessation to the development of cancer. A total of 57.1% of the smokers abandoned the habit at diagnosis, 8.9% continued to smoke to the same extent as before, and 33.9% reduced smoking. Conclusion: A full 44.4 % of our patients diagnosed with OSCC continued to smoke despite warnings of the risks, and although the majority claimed to have reduced their smoking habit, interventional strategies would be indicated to help ensure complete smoking cessation.

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“…Unfortunately, survivors who are older, male, or less educated may be less likely to engage in health promoting behavior changes [40,41]. Additionally, a study of survivors receiving care at a VA clinic indicated that after cancer diagnosis, only 35% of survivors increased their fruit and vegetable consumption; furthermore, 43% of survivors actually decreased their physical activity [42]. With incomplete adherence to healthy diet and exercise recommendations, achieving and maintaining a healthy body size may be challenging for many survivors.…”

Section: Discussionmentioning

confidence: 99%

Longitudinal assessment of BMI in relation to ADT use among early stage prostate cancer survivors

et al. 2009

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The Impact of Cancer Diagnosis on the Lifestyle and Habits of Patients Served at a Veterans Administration Hospital

Abstract: Although many veterans may adopt healthier habits after cancer diagnosis, a larger portion of them do not, which highlights the need for further evaluation and implementation of educational interventions.

Cited by 12 publications

References 10 publications

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention

Changes in smoking habit among patients with a history of oral squamous cell carcinoma (OSCC)

Longitudinal assessment of BMI in relation to ADT use among early stage prostate cancer survivors

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