Physical activity participation and barriers for people with multiple myeloma

Purpose

This study aims to examine, for people treated for multiple myeloma, (1) differences between prediagnosis and postdiagnosis levels of physical activity, (2) perceived barriers and likelihood of attending a physical activity program, and (3) factors that influence whether or not respondents are meeting physical activity guidelines.
Methods

This was a quantitative cross-sectional study; data were gathered from a larger Australian population-wide survey. Respondents completed the survey in hard copy, online, or over the telephone. Demographic and clinical variables included age, gender, locality, time since diagnosis, and marital status. The Godin Leisure-Time Questionnaire measured physical activity; barriers and likelihood of participating in a physical activity program were assessed using a five-point Likert scale. Data were analyzed using descriptive, bivariate, and multivariate analyses.
Results

Of the 229 respondents, 53.1 % were male, 42 % aged 60–69 years, and 75.7 % were married or in a de facto relationship. Participation in physical activity declined significantly from prediagnosis levels. Fatigue, injuries, and pain were the strongest perceived barriers to participation; 41 % reported they were likely to attend an exercise program if offered. Respondents who were sufficiently active before diagnosis were 4.79 times more likely to be sufficiently active posttreatment.
Conclusions

People with multiple myeloma reported very low levels of physical activity across all levels of intensity; however, they were interested in attending a physical activity program. To increase physical activity among people with multiple myeloma, interventions should target perceived barriers with a particular focus on those who were not physically active prior to diagnosis.

Perceived benefits and barriers to exercise for recently treated patients with multiple myeloma: a qualitative study

Abstract
Background: Understanding the physical activity experiences of patients with multiple myeloma (MM) is essential to inform the development of evidence-based interventions and to quantify the benefits of physical activity. The aim of this study was to gain an in-depth understanding of the physical activity experiences and perceived benefits and barriers to physical activity for patients with MM.
Methods: This was a qualitative study that used a grounded theory approach. Semi-structured interviews were conducted in Victoria, Australia by telephone from December 2011-February 2012 with patients who had been treated for MM within the preceding 2 – 12 months. Interviews were transcribed and analysed using the constant comparison coding method to reduce the data to themes. Gender differences and differences between treatment groups were explored.
Results: Twenty-four interviews were completed. The sample comprised 13 females (54%), with a mean age of 62 years (SD = 8.8). Sixteen (67%) participants had received an autologous stem cell transplant (ASCT). All participants currently engaged in a range of light to moderate intensity physical activity; walking and gardening were the most common activities. Recovery from the symptoms of MM and side effects of therapy, psychological benefits, social factors and enjoyment were important benefits of physical activity. Barriers to physical activity predominately related to the symptoms of MM and side effects of therapy, including pain, fatigue, and fear of infection. Low self- motivation was also a barrier. Women participated in a more diverse range of physical activities than men and there were gender differences in preferred type of physical activity. Women were more likely to report psychological and social benefits; whereas men reported physical activity as a way to keep busy and self- motivation was a barrier. Patients treated with an ASCT more often reported affective benefits of participation in physical activity and fatigue as a barrier. Patients treated with other therapies (e.g., chemotherapy, radiotherapy) were more likely to report pain as a barrier.
Conclusions: Patients with MM experience debilitating effects of their condition and therapy, which influences their level and intensity of physical activity participation. Physical activity programs should be individualised; take into consideration gender differences and the impact of different types of therapy on physical activity; and focus on meeting the psychological, coping and recovery needs of patients.

Dichloroacetate inhibits aerobic glycolysis in multiple myeloma cells and increases sensitivity to bortezomib

Background:
Dichloroacetate (DCA), through the inhibition of aerobic glycolysis (the ‘Warburg effect’) and promotion of pyruvate oxidation, induces growth reduction in many tumours and is now undergoing several clinical trials. If aerobic glycolysis is active in multiple myeloma (MM) cells, it can be potentially targeted by DCA to induce myeloma growth inhibition.

Methods:
Representative multiple myeloma cell lines and a myeloma-bearing mice were treated with DCA, alone and in combination with bortezomib.

Results:
We found that aerobic glycolysis occurs in approximately half of MM cell lines examined, producing on average 1.86-fold more lactate than phorbol myristate acetate stimulated-peripheral blood mononuclear cells and is associated with low-oxidative capacity. Lower doses of DCA (5–10 mM) suppressed aerobic glycolysis and improved cellular respiration that was associated with activation of the pyruvate dehydrogenase complex. Higher doses of DCA (10–25 mM) induced superoxide production, apoptosis, suppressed proliferation with a G0/1 and G2M phase arrest in MM cell lines. In addition, DCA increased MM cell line sensitivity to bortezomib, and combinatorial treatment of both agents improved the survival of myeloma-bearing mice.

Conclusion:
Myeloma cells display aerobic glycolysis and DCA may complement clinically used MM therapies to inhibit disease progression.

Physical activity preferences for people living with multiple myeloma : a qualitative study.

Although physical activity (PA) has significant benefits for people living with multiple myeloma (MM), participation rates are low. Examination of PA preferences will provide important information to clinicians and assist in the development of interventions to increase participation in PA for people living with MM. OBJECTIVE: The aim of this study is to gain an in-depth understanding of the PA preferences for people living with MM, including the preferred role of clinicians. METHODS: Semistructured interviews were conducted with patients treated for MM within the preceding 2 to 12 months. Interviews were analyzed using content analysis, where coding categories were derived directly from the text data. RESULTS: Twenty-four interviews were conducted (women, 54%; age: mean [SD], 62 [8.8] years); 16 (67%) participants had an autologous stem cell transplant. Light- to moderate-intensity PA during and after treatment was feasible, with the strongest preference for a program 2 to 8 months after treatment. The timing of information delivery was important, as was input from clinicians and organizations with knowledge of MM. Preferences for location, structure, and timing of programs varied. CONCLUSIONS: Low- to moderate-intensity PA after treatment is likely to interest people with MM. Programs need to be flexible and consider individual differences in PA preferences, functional status, and treatment schedules. IMPLICATIONS: An individually tailored PA program should form part of clinical care, involving clinicians and organizations with expertise in MM. Options for home-based PA are also important. Further research, including a population-based study of people living with MM, is necessary to further quantify PA preferences.

Leukemia risk associated with low-level benzene exposure

Background: Men who were part of an Australian petroleum industry cohort had previously been found to have an excess of lympho-hematopoietic cancer. Occupational benzene exposure is a possible cause of this excess.

Methods: We conducted a case-control study of lympho-hematopoietic cancer nested within the existing cohort study to examine the role of benzene exposure. Cases identified between 1981 and 1999 (N = 79) were age-matched to 5 control subjects from the cohort. We estimated each subject's benzene exposure using occupational histories, local site-specific information, and an algorithm using Australian petroleum industry monitoring data.

Results: Matched analyses showed that the risk of leukemia was increased at cumulative exposures above 2 ppm-years and with intensity of exposure of highest exposed job over 0.8 ppm. Risk increased with higher exposures; for the 13 case-sets with greater than 8 ppm-years cumulative exposure, the odds ratio was 11.3 (95% confidence interval = 2.85-45.1). The risk of leukemia was not associated with start date or duration of employment. The association with type of workplace was explained by cumulative exposure. There is limited evidence that short-term high exposures carry more risk than the same amount of exposure spread over a longer period. The risks for acute nonlymphocytic leukemia and chronic lymphocytic leukemia were raised for the highest exposed workers. No association was found between non-Hodgkin lymphoma or multiple myeloma and benzene exposure, nor between tobacco or alcohol consumption and any of the cancers.

Conclusions: We found an excess risk of leukemia associated with cumulative benzene exposures and benzene exposure intensities that were considerably lower than reported in previous studies. No evidence was found of a threshold cumulative exposure below which there was no risk.

Health watch exposure estimates:do they underestimate benzene exposure

A nested case–control study found that the excess of leukemia, identified among the male members of the Health Watch cohort, was associated with benzene exposure. Exposure had been retrospectively estimated for each individual occupational history using an algorithm in a relational database. Benzene exposure measurements, supplied by Australian petroleum companies, were used to estimate exposure for specific tasks. The tasks carried out within each job, the products handled, and the technology used, were identified from structured interviews with contemporary colleagues. More than half of the subjects started work after 1965 and had an average exposure period of 20 years. Exposure was low; nearly 85% of the cumulative exposure estimates were at or below 10 ppm-years. Matched analyses showed that leukemia risk increased with increasing cumulative benzene exposures and with increasing exposure intensity of the highest-exposed job. Non-Hodgkin lymphoma and multiple myeloma were not associated with benzene exposure. A reanalysis reported here, showed that for the 7 leukemia case-sets with greater than 16 ppm-years cumulative exposure, the odds ratio was 51.9 (5.6–477) when compared to the 2 lowest exposed categories combined to form a new reference category. The addition of occasional high exposures, e.g. as a result of spillages, increased exposure for 25% of subjects but for most, the increase was less than 5% of total exposure. The addition of these exposures reduced the odds ratios. Cumulative exposures did not range as high as those in comparable studies; however, the recent nature of the cohort and local handling practices can explain these differences.

The health watch case - control study of leukemia and benzene:the story so far

A case–control study nested in the Health Watch cohort of petroleum industry workers, investigated whether the excess of lymphohematopoetic cancers, identified among male members of the Health Watch cohort, was associated with benzene exposure. Cases of non-Hodgkin’s lymphoma (n=31),multiple myeloma (n=15), and leukemia (n=33)were identified between 1981 and 1999. Cases were age-matched to five controls. Exposure was retrospectively estimated for each occupational history using an algorithm in a relational database. Benzene exposure measurements, supplied by Australian petroleum companies, were used to estimate exposure for specific tasks. The tasks carried out within the job, the products handled, and the technology used,were identified from interviews with contemporary colleagues. More than half of the subjects started work after 1965 and had an average exposure period of 20 years. Exposure was low, 85% of the cumulative exposure estimates were<10 ppm years. Matched analyses showed that non-Hodgkin’s lymphoma and multiple myeloma were not associated with benzene exposure. Leukemia risk, however, was significantly increased for the subjects with greater than 16 ppm years cumulative exposure, odds ratio (OR) 51.9 (5.6–477) or with greater than 0.8 ppm intensity of highest exposed job. Cumulative exposures were similar to those found in comparable studies.The inclusion of occasional high exposures, for example, as a result of spillages, reduced the ORs, when the exposure was treated as either a continuous or a categorical variable. Our data demonstrate a strong association between leukemia and modest benzene exposure. The choice of cut-point and reference group has a marked effect on the ORs, but does not change the overall conclusions.

Increasing BMI was associated with increasing risk for overall cancer incidence and mortality in middle-aged women

Question: In middle-aged women, what is the association between body mass index (BMI) and cancer incidence and mortality?METHODSDesign: Prospective cohort study with mean follow-up of 5.4 years for cancer incidence and 7.0 years for cancer mortality.Setting: Population-based study in England and Scotland, United Kingdom.Patients: 1 222 630 women 55 to 64 years of age (mean 56 y) who had no history of cancer at baseline.Risk factors: BMI at baseline, divided into 5 categories (< 22.5, 22.5 to 24.9, 25.0 to 27.4, 27.5 to 29.9, and ≥ 30 kg/m2).Outcomes: Cancer incidence and mortality, overall and for 17 specific types of cancer, identified through linkage with the National Health Service central registers.Main results: Increasing BMI was associated with increasing risks for all cancers, endometrial cancer, esophageal adenocarcinoma, kidney cancer, leukemia, postmenopausal breast cancer, multiple myeloma, pancreatic cancer, non-Hodgkin lymphoma, and ovarian cancer; and with decreasing risks for esophageal squamous cell carcinoma, lung cancer, and premenopausal breast cancer (Table). Risks for stomach, colorectal, cervical, bladder, and brain cancer and malignant melanoma did not vary by BMI. Patterns for cancer mortality were similar to those for cancer incidence: Relative risk for death from any type of cancer was 1.06 (95% CI 1.02 to 1.10) per 10-unit increase in BMI. In postmenopausal women, the estimated proportion of cancer attributable to being overweight or obese (BMI ≥ 25 kg/m2) was 5% for all cancers and about 50% for endometrial cancer and esophageal adenocarcinoma.Conclusions: In middle-aged women, increasing body mass index was associated with increasing risk for cancer incidence and mortality overall. High body mass index increased risk for some types of cancer but reduced risk for other types.