| Literature DB >> 27547287 |
Amy Schleper1, Debra K Sullivan1, J Brantley Thrasher2, Jeffrey M Holzbeierlein2, Jennifer Klemp3, Christie Befort4, Jill M Hamilton-Reeves5.
Abstract
Obese men have a higher rate of prostate cancer-related death than non-obese men, and obesity increases the risk of prostate cancer progression and biochemical recurrence. The purpose of this study was to assess needs and interests of men for a technology-driven weight loss intervention to reduce prostate cancer risk. We distributed a survey collecting demographic characteristics, health history, exercise and eating habits (and perception of those habits), current and prior attempts of health behavior change, and technology use. Survey answers were summarized by count and percent of total respondents. Completed surveys (N = 109) described men with a family history of prostate cancer (25%), a history of elevated prostate specific antigen (26%), and prostate cancer survivors (22%). We compared body mass index (BMI) to perception of weight; overweight and obese men perceived their weight as more normal than their BMI category suggests. Most men reported their diet needed minor improvement (74%), and 65% of men reported they are either currently trying to lose weight or interested in weight loss. Most respondents access the internet (92%), while text messaging (60%) and smartphone application use (40%) are less frequent, especially in men over 60. Our results revealed a need and willingness for lifestyle modification and suggest a need for evidence-based weight loss strategies and for addressing the misperception of weight status. A male-tailored intervention that implements technology could improve energy balance, hold men accountable to healthy behavior change, and promote dietary patterns in order to reduce prostate cancer risk.Entities:
Keywords: awareness; diet; health behavior; men; nutrition; physical activity; prevention; prostate cancer; risk; survey; technology; weight management
Year: 2016 PMID: 27547287 PMCID: PMC4991822 DOI: 10.5539/cco.v5n1p43
Source DB: PubMed Journal: Cancer Clin Oncol ISSN: 1927-4858
Demographics and medical history
| Participant characteristics (number of | Mean ± SD or n (%) | Participant characteristics | n (%) |
|---|---|---|---|
| Age (n=101) | 67± 14 | Rural vs. Urban (n = 102) | |
| Race & ethnicity (n=103) | Metro | 83 | |
| White non-Hispanic | 97 (94%) | Non-metro | 19 |
| Hispanic or Latino | 0 (0%) | Family history of prostate cancer (n = 103) | 26 |
| American Indian/Alaska Native | 1 (1%) | History of prostate-specific antigen (PSA) | 27 |
| Black or African American | 2 (2%) | Personal history of prostate cancer (n = 101) | 22 |
| Asian | 1 (1%) | Most recent PSA level (n = 102) | |
| Native Hawaiian /Pacific Islander | 1 (1%) | Below or equal to 10 ng/ml | 56 |
| “Mixed” | 1 (1%) | Between 10 ng/ml and 20 ng/ml | 4 (4%) |
| Marital Status (n =104) | Greater than 20 ng/ml | 0 (0%) | |
| Single | 6 (6%) | Do not know | 36 |
| Married | 92 (88%) | Never been checked | 6 (6%) |
| Divorced/Separated | 1 (1%) | How long ago PSA checked (n =100) | |
| Widowed | 5 (5%) | Within past month | 12 |
| Live alone (n=103) | 13 (13%) | Within past 3 months | 25 |
| Education level (n =103) | Between 6 and 12 months ago | 34 | |
| Less than high school | 1 (1%) | More than 1 year ago | 20 |
| High school | 10 (10%) | Never | 9 (9%) |
| Some college | 34 (33%) | Employment status (n =102) | |
| Bachelors | 27 (26%) | Full-time (>35 hrs/week) | 40 |
| Masters | 20 (19%) | Part-time (<35 hrs/week) | 6 (6%) |
| Doctoral | 11 (11%) | Unemployed | 1 (1%) |
| Retired | 55 |
Weight status, perceptions, and weight loss
| Participant characteristics | Mean ± SD or n (%) | Participant characteristics | n (%) |
|---|---|---|---|
| BMI (n = 105) | 29.5 ± 5.92 | Perception of weight (n = 102) | |
| Normal weight (BMI 18.5-24.9) | 16 (15%) | Too skinny | 1 (1%) |
| Overweight (BMI 25.0-29.9) | 50 (48%) | About the right weight | 29 (28%) |
| Obese (BMI ≥ 30.0) | 39 (37%) | A little overweight | 50 (49%) |
| Currently trying to lose weight (n = 104) | 39 (38%) | Too heavy | 22 (22%) |
| Not currently trying to lose weight, but | 29 (48%) | Weight loss methods (n = 69) [ | |
| Physician advice to lose weight (n = 104) | 44 (42%) | Diet on own without assistance | 54 (78%) |
| Prior weight loss (n = 105) | Commercial program | 6 (9%) | |
| 1-2 attempts | 27 (26%) | Diet book or self-help book | 5 (7%) |
| 3-4 attempts | 25 (24%) | Internet program | 3 (4%) |
| 5-6 attempts | 4 (4%) | Smartphone Application | 3 (4%) |
| > 6 attempts | 19 (18%) | Exercise | 44 (64%) |
| Never tried | 30 (29%) | Medications | 5 (7%) |
| Prior weight loss of more than 10 lbs. (n = 60) | Surgery | 3 (4%) | |
| 1-2 times | 30 (50%) | Drinks and/or supplements | 2 (3%) |
| 3-4 times | 21 (35%) | ||
| 5-6 times | 4 (7%) | ||
| > 6 times | 5 (8%) |
Respondents could choose more than one weight loss method
Self-reported physical activity
| Participant characteristics | n (%) |
|---|---|
| Current PA level (n = 103) [ | |
| Vigorous | 30 (29%) |
| Moderate | 54 (52%) |
| Sedentary | 19 (18%) |
| Perception of PA compared to others same age (n = 104) | |
| More active | 52 (50%) |
| About as active | 42 (40%) |
| Less active | 10 (10%) |
| PA location (n=104) [ | |
| Home | 53 (51%) |
| Gym, community center, etc. | 36 (35%) |
| Outdoors | 55 (53%) |
| No intentional PA | 6 (6%) |
| Other | 10 (10%) |
| Occupational PA (n=103) | |
| Heavy labor/manual work | 6 (6%) |
| Walking with some light lifting | 31 (30%) |
| Sitting/standing with some walking | 28 (27%) |
| Mainly sitting | 19 (18%) |
| Other | 19 (18%) |
Survey question adapted from Gill, D. P., G. R. Jones, G. Zou, and M. Speechley. 2012. Using a single question to assess physical activity in older adults: a reliability and validity study. BMC Medical Research Methodology 12:20. doi:10.1186/1471-2288-12-20.
Respondents could choose more than one PA location.
Self-reported technology use
| Participant characteristics | n (%) |
|---|---|
| Internet frequency (browse/surf; n = 108) | |
| Daily | 71 (66%) |
| 1-3×/week | 20 (19%) |
| 1-3×/month | 2 (2%) |
| Rarely | 6 (6%) |
| Do not use | 9 (8%) |
| Internet use location (n = 100) [ | |
| Home | 91 (91%) |
| Phone | 34 (34%) |
| Work/office | 23 (23%) |
| iPad | 1 (1%) |
| E-mail use (n = 108) | |
| Daily | 80 (74%) |
| 1-3×/week | 14 (13%) |
| 1-3×/month | 1 (1%) |
| Rarely | 6 (6%) |
| Do not use | 7 (6%) |
| Text messaging frequency (n = 108) | |
| Daily | 27 (25%) |
| 1-3×/week | 20 (19%) |
| 1-3×/month | 5 (5%) |
| Rarely | 13 (12%) |
| Do not use | 43 (40%) |
| Smartphone Application use (n = 108) | |
| Yes | 43 (40%) |
| No | 65 (60%) |
| Health-related smartphone application | 10 (9%) |
Respondents could choose more than one location of internet use
Self-reported diet
| Participant characteristics | n (%) |
|---|---|
| Primary grocery shopper (n = 104) | |
| Self | 31 (30%) |
| Spouse | 56 (54%) |
| Caregiver | 1 (1%) |
| Self & spouse (both) | 16 (15%) |
| Primary cook (n = 105) | |
| Self | 27 (26%) |
| Spouse | 71 (68%) |
| Caregiver | 1 (1%) |
| Eat out most of the time | 2 (2%) |
| Self & spouse (both) | 4 (4%) |
| Perception of current diet (n = 103) | |
| Healthy, with no change needed | 18 (17%) |
| Healthy, with minor change needed | 76 (74%) |
| Needs change, and want to change | 6 (6%) |
| Not healthy, and do not want to change | 3 (3%) |