Perceptions of unintentional weight loss among cancer survivors.

2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 138-138 ◽  
Author(s):  
Alexandra Katherine Zaleta ◽  
Shauna McManus ◽  
Thomas William LeBlanc ◽  
Joanne S Buzaglo
Keyword(s):  
Weight Loss ◽  
Cancer Survivors ◽  
Weight Status ◽  
Online Survey ◽  
Health Care Team ◽  
Healthy Weight ◽  
Unintentional Weight Loss ◽  
Weight Category ◽  
Perceived Weight ◽  
The Impact

138 Background: Unintentional weight loss (WL) can be a disruptive symptom of cancer, yet its psychosocial impact is not well understood. We examined cancer survivors’ experiences with unintentional WL. Methods: 320 cancer survivors completed an online survey, provided demographic, health, and unintentional WL history, and rated (0 = not at all; 4 = extremely) 19 statements about WL outcomes. We examined bivariate associations between weight status, unintentional WL, and WL outcomes. Results: Participants were 90% White; mean age = 58.8 years, SD= 11; 41% breast cancer, 23% blood cancer, 8% prostate cancer, mean time since diagnosis = 6.0 years, SD= 5; 18% metastatic, 22% current recurrence/relapse, 51% remission. 55 participants (17%) reported unintentional WL in the past 6 months (mean = 16lbs; range = 2-70; mean BMI = 27.6, SD= 6.3). These participants were less likely to be in disease remission ( p< .05). Participants with unintentional WL tended to underestimate their weight category (e.g., of BMI-classified healthy weight participants, 26% believed they were underweight); κ = -.17, p< .01. 51% of participants felt (somewhat to extremely) positive about WL, 49% said their health care team was supportive of WL; these statements were more strongly endorsed by people describing themselves as overweight ( ps < .05). 27% believed WL caused physical weakness, 23% said WL resulted in lost control over nutrition/eating, 16% said WL made them feel like a burden, 14% said WL caused them to lose their identity; these statements were more strongly endorsed by people describing themselves as underweight ( ps < .01). 20% viewed their WL as a sign of approaching end of life, 13% believed WL meant they would not be able to continue treatment; these views did not differ by perceived weight status. Conclusions: Many cancer survivors experience unintentional weight loss and associate their weight loss with negative outcomes. Survivors also often underestimate their weight status, which is notable given that personal views of one’s weight status, not BMI-derived weight status, is associated with beliefs about the impact of unintentional weight loss. Our findings suggest that people believe unintentional WL meaningfully affects their quality of life.

Unintentional weight loss, its associated burden, and perceived weight status in people with cancer

2019 ◽  
Vol 28 (1) ◽  
pp. 329-339 ◽  
Author(s):  
Eva Y. N. Yuen ◽  
Alexandra K. Zaleta ◽  
Shauna McManus ◽  
Joanne S. Buzaglo ◽  
Thomas W. LeBlanc ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Status ◽  
Unintentional Weight Loss ◽  
Perceived Weight

Effect of weight history on ability to lose weight after a 6-month randomized controlled weight loss trial in overweight breast cancer survivors: The Lifestyle, Exercise and Nutrition (LEAN) study.

2016 ◽  
Vol 34 (3_suppl) ◽  
pp. 174-174
Author(s):  
Tara Beth Sanft ◽  
Maura Harrigan ◽  
Brenda Cartmel ◽  
Mary Playdon ◽  
Yang Zhou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Weight Loss ◽  
Cancer Survivors ◽  
Usual Care ◽  
Breast Cancer Survivors ◽  
Healthy Weight ◽  
Counseling Intervention ◽  
Weight History ◽  
The Impact ◽  
Over Time

174 Background: Because obesity portends a higher risk of breast cancer mortality, achieving a healthy weight is recommended for breast cancer survivors. The impact of weight history on the ability to lose weight is unclear. We previously reported a 6.2 + 0.7% vs. 2.1 + 0.9% weight loss (p = .0003) in 100 breast cancer survivors randomized to a 6-month weight loss intervention vs. usual care. We examined whether weight history modified the effect of the intervention on body weight changes. Methods: Breast cancer survivors with a BMI > 25 kg/m2were randomized to usual care or 6-month, 11-session diet and exercise-counseling intervention. Baseline and 6 month weight and height were measured; weight at ages 18 and 35, 5 years and 1 year before and at diagnosis were self-reported. We defined weight history as: 1) change in weight between each time point and baseline; and 2) duration of obesity (i.e., number of years of having a BMI > 30 between age 18 and baseline). Generalized linear models were used to evaluate mean changes at 6 months between the intervention and usual care groups, adjusted and stratified by weight history variables. Results: Mean age and time since diagnosis were 59 + 7 years and 2.9 + 2.1 years, respectively. BMI increased over time (age 18 BMI = 21.8 + 2.9; baseline BMI = 32.4 + 6.5). Number of years being obese was 5.3 + 8.2 years (range 0-40 years). BMI at baseline, change in BMI from various time points to baseline, and years of obesity did not modify weight loss results. After adjusting for weight history, women randomized to intervention vs. usual care lost 6.1 + 0.7% vs. 2.0 + 0.9%, p = .0006, respectively. Conclusions: Participants reported a history of steady weight gain over time. The duration of obesity did not modify weight loss results. Weight history did not hinder survivors’ ability to lose clinically meaningful weight via a structured intervention.

scholarly journals Delivery of the National Child Measurement Programme in England

2020 ◽  
pp. 1-21
Author(s):  
Martin Čadek ◽  
Stuart W. Flint ◽  
Ralph Tench
Keyword(s):  
Public Health ◽  
Local Government ◽  
Best Practice ◽  
Online Survey ◽  
The Other ◽  
Service Availability ◽  
Healthy Weight ◽  
Weight Category ◽  
Convenience Sampling

Abstract Objective: The National Child Measurement Programme (NCMP) is a mandatory initiative delivered in England to children in reception and year 6. To date, no research has explored the methods used to deliver the NCMP by Local Government Authorities (LGA) across England. Design: An online survey was administered between February 2018 and May 2018 to explore the delivery of the NCMP across the 152 LGAs in England and disseminated using non-probability convenience sampling. Setting: LGAs received an anonymous link to the survey. Participants: A total of 92 LGAs participated in the survey. Results: Most LGAs who responded provide result feedback (86%), a proactive follow-up (71%) and referrals to services (80%). Additionally, 65% of the authorities tailor Public Health England specimen result letters to suit their needs, and 84% provide attachments alongside. Out of 71% of LGAs who provide proactive follow-up, 19 (29%) provide the proactive follow-up only to upper weight categories, and only 4 (6 %) include Healthy Weight category with other categories in proactive follow-up. Regarding the service availability for children, out of 80% of LGAs who indicated that services are available, 32 (43%) targeted solely upper weight categories while the other 42 (57%) offered services across all weight categories. Finally, most LGAs (88%) commission providers to manage various parts of the NCMP. Conclusions: The results show that LGAs in England localise the NCMP. Further guidance regarding standards of best practice would help LGAs to find the most suitable localisation out of various options that exist across other LGAs.

scholarly journals Modelling the Association between Core and Discretionary Energy Intake in Adults with and without Obesity

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 683 ◽  
Author(s):  
Mackenzie Fong ◽  
Ang Li ◽  
Andrew Hill ◽  
Michelle Cunich ◽  
Michael Skilton ◽  
...  
Keyword(s):  
Energy Intake ◽  
Weight Control ◽  
Weight Status ◽  
Weight Maintenance ◽  
Dietary Guidelines ◽  
Healthy Weight ◽  
Dietary Recommendations ◽  
Food Diary ◽  
Core Energy ◽  
The Impact

Background: Many dietary recommendations for weight control rely on the assumption that greater core food intake will displace intake of energy-dense discretionary foods and beverages. However, there is little evidence to support these assumptions. This study examined the naturalistic relationship between daily core and discretionary energy intake, and with discretionary food and discretionary beverage intake, separately. The impact of weight status on these associations was also examined. Method: One hundred participants completed a four-day (non-consecutive) estimated food diary. Discretionary foods and beverages were identified by reference to the Australian Dietary Guidelines. Non-discretionary items were considered core items. Simultaneous-equation random effects models using disaggregated dietary data controlling for sociodemographic variables were used to determine the association between various dietary components. Result: Core energy intake correlated negatively with discretionary energy intake (cross-equation correlation, ρ = −0.49 (95% CI: −0.57, −0.39)). Its correlation with discretionary foods (−0.47 (−0.56, −0.37)) was stronger than that with discretionary beverages (−0.19 (−0.30, −0.07)) The correlation between core energy intake and discretionary energy intake was significantly stronger in participants who did not have obesity (−0.67 (−0.71, −0.50)) than those with obesity (−0.32 (−0.46, −0.17)) (p = 0.0002). Conclusions: Core and discretionary energy intake share an inverse and potentially bidirectional, relationship that appears to be stronger with discretionary foods than discretionary beverages. These relationships were significantly weaker in participants with obesity which may indicate less precise dietary compensation in these individuals. While strategies that promote greater intake of core foods may assist with weight maintenance in individuals of healthy weight, its impact in individuals with obesity may be limited. These strategies should be accompanied by direct messages to reduce commensurately the intake of discretionary items, with special attention paid to discretionary beverage consumption.

scholarly journals Pathways from Food Insecurity to Health Outcomes among California University Students

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1419 ◽  
Author(s):  
Suzanna M. Martinez ◽  
Michael A. Grandner ◽  
Aydin Nazmi ◽  
Elias Ruben Canedo ◽  
Lorrene D. Ritchie
Keyword(s):  
College Students ◽  
Food Insecurity ◽  
Undergraduate Students ◽  
Weight Status ◽  
Online Survey ◽  
Student Characteristics ◽  
Poor Health ◽  
Self Rated Health ◽  
The Past ◽  
The Impact

The prevalence of food insecurity (FI) among college students is alarmingly high, yet the impact on student health has not been well investigated. The aim of the current study was to examine the simultaneous relationships between food insecurity and health-related outcomes including body mass index (BMI) and overall health in a college student population. Randomly sampled students in the University of California 10 campus system were invited to participate in an online survey in spring 2015. The analytic sample size was 8705 graduate and undergraduate students. Data were collected on FI in the past year, daily servings of fruits and vegetables (FV), number of days in the past week of enough sleep and moderate- to vigorous-intensity physical activity (MVPA), height and weight, self-rated health, and student characteristics. Using path analysis, mediated pathways between FI, BMI, and poor health were examined through FV intake, number of days of MVPA and enough sleep. Analyses controlled for student characteristics. Mean BMI was 23.6 kg/m2 (SD, 5.0), and average self-rated health was good. FI was directly and indirectly related to higher BMI and poor health through three pathways. First, FI was related to fewer days of enough sleep, which in turn was related to increased BMI and poor health. Second, FI was related to fewer days of MVPA, which in turn was related to increased BMI and poor health. Third, FI was related to fewer daily servings of FV, which in turn was related to poor health. FI is associated with poor health behaviors among college students, which may contribute to higher weight status and poor health. These findings highlight the importance of food security for a healthy college experience.

Body mass index (BMI) and its impact on quality of life (QOL) in childhood leukemia survivors.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 9606-9606
Author(s):  
Anne Hudson Blaes ◽  
Kevin Scott Baker ◽  
Jill Lunsford Lee ◽  
Catherine Moen ◽  
Daniel A. Mulrooney ◽  
...  
Keyword(s):  
Physical Functioning ◽  
Weight Status ◽  
Childhood Leukemia ◽  
Short Form ◽  
Statistical Tests ◽  
Age At Diagnosis ◽  
Cell Transplant ◽  
Healthy Weight ◽  
Sf 36 ◽  
The Impact

9606 Background: Obesity after childhood cancer carries implications for survivors’ future health risks; however little is known about the impact of weight after treatment on QOL. Methods: Adult survivors of childhood leukemia in remission (51% male) completed the Health Related QOL Short Form (SF-36) between 2006-2012. Standard BMI cut points were assessed at the time of survey completion. 97% received treatment with chemotherapy, 55.6% stem cell transplant (SCT), 27.8% were in remission from a second cancer. The impact of demographic (age at diagnosis, current age, gender), treatment [radiation therapy, SCT, total body irradiation (TBI), cranial radiation, disease characteristics, history of relapse] were explored. For each subscale, linear regression models were performed. All statistical tests were two-sided, P-values < 0.05 considered statistically significant. Results: 73 survivors diagnosed at a median age of 9.0 (1.0-27.0) years and surveyed at a median of 17.4 (2.5-34.7) years later completed SF-36. 75.6% had received a median dose of 1800 (800-8750) cGy of radiation. The distribution of BMI was underweight <18.5 (9.6%), normal 18.5-24.9 (42.5%), overweight 25-29.9 (27.4%), or obese >30 (20.6%). Consistent with previous studies, those who received whole brain radiation had greater BMI at the time of survey than those who did not receive radiation and those who received TBI (F=2.52, p=0.065). In analyses adjusted for age at diagnosis and time since diagnosis, the reported vitality (fatigue) for those who were obese (mean 45.0+/-8.9) or underweight (45.8+/-9.5) was significantly lower (p=0.002) than normal (55.7+/-10.4) or overweight (50.4+/-10.0), and those who were underweight (39.0+/-13.3) also reported poor physical functioning (endurance and strength) (p=0.038) compared with the others (52.3+/-8.1 normal weight, 49.5+/-11.7 overweight, 47.1+/-9.0 obese). Conclusions: Weight management in leukemia survivors is problematic with 48% of our sample being overweight or obese. Weight status is associated with QOL, impacting survivors’ fatigue and physical functioning. Interventions to help survivors achieve a healthy weight after cancer treatment are needed, and may lead to improvements in QOL.

Long-Term Weight Loss Maintenance on a Nutrient-Dense, Plant-Rich (NDPR) Diet

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Deana M Ferreri ◽  
Joel Fuhrman ◽  
Michael D. Singer
Keyword(s):  
Weight Loss ◽  
Online Survey ◽  
Weight Regain ◽  
Weight Loss Maintenance ◽  
Healthy Weight ◽  
Health Goal ◽  
Public Health Goal ◽  
Insight Into ◽  
Lower Adherence

Background: Obesity increases risk of diabetes, heart disease and cancer; a healthy weight reduces these risks, however weight loss efforts are prone to failure. Developing methods to promote weight loss maintenance is an important public health goal. We report on weight loss maintenance in individuals who followed a nutrient-dense, plant-rich (NDPR) diet. NDPR guidelines focus on increasing micronutrient density and avoidance of processed, highly palatable foods. Methods: Patients of a private family medical practice and members of a NDPR diet internet community (2273) completed an online survey providing information on length of time following a NDPR diet and body weight at several time points. Results: In respondents with pre-diet BMI ≥ 25 who had been following a NDPR diet for at least 2 years, those who reported adhering to NDPR guidelines in at least 80% of meals lost significantly more weight than those reporting lower adherence. Weight lost during year 1 was maintained at 2 and 3 years, and in respondents with initial BMI in the obese range (≥ 30), those losses were significantly greater in respondents who reported at least 80% adherence compared to 50-79% (56 lb. vs. 34 lb.) at 3 years. Between 1 year and 3 years, a low rate (19%) of weight regain ( ≥ 5 lb.) was reported among respondents 80-100% adherent to NDPR guidelines. Conclusions: Weight loss and maintenance for a period of 3 years was observed in this self-selected group, and respondents who reported 80-100% adherence lost significantly more weight than those who reported 50-79% adherence to NDPR guidelines. Individuals achieved substantially greater weight loss than that commonly observed in weight loss intervention studies. An intervention study, which would provide further insight into the influence of the NDPR guidelines on weight loss and maintenance, is warranted.

scholarly journals TSH and free triiodothyronine concentrations are associated with weight loss in a lifestyle intervention and weight regain afterwards in obese children

2013 ◽  
Vol 168 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Barbara Wolters ◽  
Nina Lass ◽  
Thomas Reinehr
Keyword(s):  
Weight Loss ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Lifestyle Intervention ◽  
Weight Status ◽  
Weight Regain ◽  
Regression Analyses ◽  
Obese Children ◽  
Free Triiodothyronine ◽  
The Impact

ObjectiveThe impact of thyroid hormones on weight loss in lifestyle interventions and on weight regain afterwards is unknown. Therefore, we studied the relationships between TSH, free triiodothyronine (fT3), free thyroxine (fT4), and weight status, as well as their changes during and after a lifestyle intervention in obese children.Materials and methodsWe evaluated the weight status as BMI–SDS in 477 obese children (mean age 10.6±2.7 years, 46% male, mean BMI 28.1±4.5 kg/m2) participating in a 1-year lifestyle intervention in a 2-year longitudinal study. Changes in BMI–SDS at 1 and 2 years were correlated with TSH, fT3, and fT4concentrations at baseline and their changes during the intervention.ResultsA decrease in BMI–SDS during the intervention period (−0.32±0.38;P<0.001) was significantly positively associated with baseline TSH and fT3in multiple linear regression analyses adjusted for age, sex, pubertal stage, and baseline BMI–SDS. An increase in BMI–SDS after the end of the intervention (+0.05±0.36;P=0.011) was significantly related to the decreases in TSH and fT3during the intervention in multiple linear regression analyses adjusted for change in BMI–SDS during the intervention. In contrast to children with weight maintenance, children with weight regain after the end of the intervention demonstrated a decrease in their TSH levels (−0.1±1.6 vs +0.2±1.6 mU/l;P=0.03) and fT3(−0.2±1.1 vs +0.3±1.6 pg/ml;P<0.001) during the intervention.ConclusionsThe decreases in TSH and fT3concentrations during the lifestyle intervention were associated with weight regain after the intervention. Future studies should confirm that the decreases in TSH and fT3levels associated with weight loss are related to the change in metabolism such as resting energy expenditure.

scholarly journals 4098 Health and HIV: Weight status associations with multiple co-morbidities

2020 ◽  
Vol 4 (s1) ◽  
pp. 133-133
Author(s):  
Kierra Renee Butler ◽  
Faye R. Harrell ◽  
Jeffrey Robinson ◽  
Bridgett Rahim-Williams ◽  
Wendy A. Henderson
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Highly Active Antiretroviral Therapy ◽  
Weight Status ◽  
Latent Class ◽  
Healthy Weight ◽  
Shortness Of Breath ◽  
Personalized Care ◽  
Co Morbidity ◽  
Gi Symptoms

OBJECTIVES/GOALS: Highly Active Antiretroviral Therapy (HAART) is beneficial for managing HIV infection, however the long-term use of HAART may be problematic for healthy weight maintenance. The aim of the study was to investigate the association of race, weight status, and co-morbidities among individuals with HIV. METHODS/STUDY POPULATION: Self-reported data from 283 participants who completed the Symptom Checklist, the Co-Morbidity Questionnaire, and the Sociodemographic Questionnaire were included in the data analyses. Data were analyzed using Latent Class Analysis on JMP 13. Approximately 50% of participants self-identified as Black, 69% as male, and 35% as having AIDS. Participants’ age ranged from 25 to 66 years (mean age = 43.70 years, SD = 8.14). Participants were grouped by race (self- reported Black or non-Black), and then each group was clustered based on the top three most prevalent symptoms. The clusters identified were least symptomatic, weight gain, and weight loss. RESULTS/ANTICIPATED RESULTS: The non-Black weight gain cluster reported a higher incidence of AIDS (70.6% vs 38.2%), nausea (70.6% vs 17.6%), diarrhea (70.6% vs 26.5%), and shortness of breath (58.8% vs 20.6%) compared to the Black weight gain cluster. The Black weight loss cluster reported a higher incidence of cardiovascular symptoms including chest palpitations (42.2% vs 2.7%), chest pain (44.4% vs 8.1%), and shortness of breath (73.3% vs 35.1%) and a higher incidence of all GI symptoms with the most prominent being diarrhea (71.1% vs 48.6%) compared to the non-Black weight loss cluster. DISCUSSION/SIGNIFICANCE OF IMPACT: Future studies supporting these results will assist practitioners to target treatments that may prevent adverse health outcomes for individuals with HIV on HAART. Further studies will also assist with setting standards that allow practitioners to provide personalized care for individuals with HIV on HAART.

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