Highlights
- •Personalized omega-3LC dietary intervention is feasible and acceptable as a self- management strategy.
- •Personalized meal plans with high dietary omega-3LC were effective in alleviating pain and psychoneurological symptoms in breast cancer survivors.
Abstract
Background
Aims
Methods
Results
Conclusion
Introduction
- Bouchard L.C.
- Antoni M.H.
- Blomberg B.B.
- Stagl J.M.
- Gudenkauf L.M.
- Jutagir D.R.
- Diaz A.
- Lechner S.
- Gluck S.
- Derhagopian R.P.
- Carver C.S.
- Ruiz-Vozmediano J.
- Lohnchen S.
- Jurado L.
- Recio R.
- Rodriguez-Carrillo A.
- Lopez M.
- Mustieles V.
- Exposito M.
- Arroyo-Morales M.
- Fernandez M.F.
- George S.M.
- Neuhouser M.L.
- Mayne S.T.
- Irwin M.L.
- Albanes D.
- Gail M.H.
- Alfano C.M.
- Bernstein L.
- McTiernan A.
- Reedy J.
- Smith A.W.
- Ulrich C.M.
- Ballard-Barbash R.
- He K.
- Liu K.
- Daviglus M.L.
- Jenny N.S.
- Mayer-Davis E.
- Jiang R.
- Steffen L.
- Siscovick D.
- Tsai M.
- Herrington D.
- Martinez N.
- Herrera M.
- Frias L.
- Provencio M.
- Perez-Carrion R.
- Diaz V.
- Morse M.
- Crespo M.C.
- Durán A.M.
- Salto L.M.
- Câmara J.
- Basu A.
- Paquien I.
- Beeson W.L.
- Firek A.
- Cordero-MacIntyre Z.
- De León M.
- He K.
- Liu K.
- Daviglus M.L.
- Jenny N.S.
- Mayer-Davis E.
- Jiang R.
- Steffen L.
- Siscovick D.
- Tsai M.
- Herrington D.
- Sanchez-Villegas A.
- Alvarez-Perez J.
- Toledo E.
- Salas-Salvado J.
- Ortega-Azorin C.
- Zomeno M.D.
- Vioque J.
- Martinez J.A.
- Romaguera D.
- Perez-Lopez J.
- Lopez-Miranda J.
- Estruch R.
- Bueno-Cavanillas A.
- Aros F.
- Tur J.A.
- Tinahones F.J.
- Lecea O.
- Martin V.
- Ortega-Calvo M.
- Vazquez C.
- Pinto X.
- Vidal J.
- Daimiel L.
- Delgado-Rodriguez M.
- Matia P.
- Corella D.
- Diaz-Lopez A.
- Babio N.
- Munoz M.A.
- Fito M.
- Garcia de la Hera M.
- Abete I.
- Garcia-Rios A.
- Ros E.
- Ruiz-Canela M.
- Martinez-Gonzalez M.A.
- Izquierdo M.
- Serra-Majem L.
U.S. Department of Agriculture, 2016. Retrieved from https://ndb.nal.usda.gov/ndb (February, 2022).
U.S. Food and Drug Administration. (2017). FDA News Release: FDA and EPA issue final fish consumption advice. Retrieved from: https://www.fda.gov/news-events/press-announcements/fda-and-epa-issue-final-fish-consumption-advice (February, 2022).
Methods
Study Design
U.S. Food and Drug Administration. (2017). FDA News Release: FDA and EPA issue final fish consumption advice. Retrieved from: https://www.fda.gov/news-events/press-announcements/fda-and-epa-issue-final-fish-consumption-advice (February, 2022).


Participants and setting
Procedure
Phase I
Phase II
Outcome Measures
Feasibility and receptivity
Self-reported psychoneurological symptoms (PNS)
- •Pain: The Brief Pain Inventory (BPI) short form is a pain assessment tool that has well-established reliability and validity for adult patients in trajectory studies of cancer and its symptoms (Caraceni, 2001;Daut et al., 1983). The arithmetic mean of the four severity items were used as a measure of pain severity, and the arithmetic mean of the seven interference items were used as a measure of pain interference. Total Pain scores were calculated by summing four severity items and seven interference items.
- •Depressive symptoms: Depressive symptoms are measured in people with cancer using the Center for Epidemiological Studies Depression scale (CES-D) (Radloff, 1977), a 20-item self-report instrument comprised of factors for depressive affect, somatic symptoms, positive affect, and interpersonal relations. Participants reported the extent to which they experienced each symptom in the preceding week using a 4-point scale. The depressive index was calculated by summing the scores of all 20 items.
- •Fatigue: The Brief Fatigue Inventory (BFI) is a 9-item, 11-point Likert scale (0-10) used to assess cancer-related fatigue and its impact on daily functioning. The three severity items and six interference items were tapped into single dimensions of fatigue severity and interference measures (Mendoza et al., 1999). A total fatigue score was calculated by summing all nine items. The BFI has demonstrated excellent reliability in clinical trials, with Cronbach's alpha ranging from 0.82 to 0.97 (Mendoza et al., 1999)
- •Sleep disturbance: The 21-item General Sleep Disturbance Scale (GSDS) consists of items evaluating various aspects of sleep disturbance over the past week (Carney et al., 2011;Lee et al., 1999). Items were rated on a scale ranging from 0 (never) to 7 (every day). All items are summed to generate a total score ranging from 0 (no sleep disturbance) to 147 (extreme sleep disturbance). The reported Cronbach's alpha for the GSDS in the cancer population was 0.82 (Lee et al., 1999).
- •Perceived stress: This was measured to account for the potential impact of stress on PNS, inflammation, and gut microbiome using the Perceived Stress Scale (PSS) (Kain et al., 2000). The PSS measures the degree to which situations in one's life are appraised as stressful. The 10 items are general in nature and focus on situations in the past month. A summary score was calculated to generate the PSS score.
- •Salivary sample collection: To quantify inflammatory biomarkers, passive drool was collected in saliva collection kits at baseline and the third visit, kept on ice, and delivered to the University of Connecticut School of Nursing Biobehavioral Research Laboratory for storage and analysis. Saliva samples were analyzed using Simple Plex Cartridge (Multiplex) Kit (Proteinsimple, San Jose, CA) according to the manufactory protocol. Results of Inflammatory biomarkers were not the focus of this feasibility report therefore were not reported in this manuscript.
Statistical Analysis
Results
Feasibility and Receptivity
Recruitment and receptivity (Fig. 2)
Adherence to personalized meal plan

Adherence to fish intervention
All (N = 33) | High omega-3LC (n = 20) | Low omega-3LC (n = 13) | p | |
---|---|---|---|---|
Fish log returned | 1.00 | |||
Yes | 31 (93.9%) | 19 (95.0%) | 12 (92.3%) | |
No | 2 (6.1) | 1 (5.0%) | 1 (7.7%) | |
Interventional fish consumed | 1.00 | |||
100% | 23 (69.7%) | 14 (73.6%) | 9 (69.2%) | |
70%-99.9% | 8 (24.2%) | 5 (25.0%) | 3 (23.1%) |
Feasibility of salivary sample collection
Safety related to interventional procedures
Demographic and Clinical Characteristics
Demographic | All(N = 46) | High omega-3LC (n = 27) | Low omega-3LC (n = 19) | p |
---|---|---|---|---|
Age | 59.3 ± 11.8 | 59.2 ± 12.0 | 59.5 ± 11.9 | .77 |
Race | .27 | |||
White | 37 (80.4%) | 23 (96.3%) | 14 (73.7%) | |
Black | 3 (6.5%) | 1 (3.7%) | 2 (10.5%) | |
Latino | 2 (4.3%) | 2 (7.4%) | 0 (0%) | |
Other | 4 (87.0%) | 1 (3.7%) | 3 (15.8%) | |
BMI | 29.1 ± 6.6 | 21.1 ± 6.5 | 30.5± 6.7 | .31 |
Education | .16 | |||
Some college or less | 15 (32.6%) | 7 (25.9%) | 8 (42.1%) | |
College degree | 17 (37.0%) | 13 (48.2%) | 4 (21.1%) | |
Master or Ph.D. | 14 (30.4%) | 7 (25.9%) | 7 (36.8%) | |
Marital status | 1.00 | |||
Married | 29 (63%) | 17 (62.9%) | 12 (63.2%) | |
Other | 17 (37%) | 10 (37.0%) | 7 (36.8%) | |
Physical activity | .53 | |||
Sedentary | 26 (56.5%) | 15 (55.6%) | 11 (57.9%) | |
Moderate | 19 (41.3%) | 12 (44.4%) | 7 (36.8%) | |
Strenuous | 1 (2.2%) | 0 (0%) | 1 (5.3%) | |
Surgery | .84 | |||
Lumpectomy | 3 (13.0%) | 3 (11.1%) | 3 (15.8%) | |
Lumpectomy + lymph nodes removal | 14 (30.4%) | 9 (33.3%) | 5 (26.3%) | |
Mastectomy | 26 (56.5%) | 15 (55.6%) | 11 (57.9%) | |
Chemotherapy | .72 | |||
Yes | 24 (52.2%) | 13 (48.1%) | 11 (57.9%) | |
No | 22 (47.8) | 14 (51.9%) | 8 (42.1%) | |
Radiation | .95 | |||
Yes | 30 (65.2%) | 17 (63.0%) | 13 (68.4%) | |
No | 16 (34.8%) | 10 (37.0%) | 6 (31.6%) | |
BC maintenance medication | 1.00 | |||
Yes | 21 (45.7%) | 12 (44.4%) | 9 (47.4%) | |
No | 25 (54.3%) | 15 (55.5%) | 10 (52.7%) | |
Baseline fish consumption | .69 | |||
≤Once/week | 32 (69.6%) | 20 (74.1%) | 12 (63.2%) | |
Twice/week | 11 (23.9%) | 5 (18.5%) | 6 (31.6%) | |
≥ 3 times/week | 3 (6.5%) | 2 (7.4%) | 1 (5.3%) |
Psychoneurological symptoms at baseline
All (N = 46) | High omega-3LC (n = 27) | Low omega-3LC (n = 19) | p | |
---|---|---|---|---|
Stress (PSS) | 14.7 ± 7.2 | 13.9 ± 6.3 | 15.7 ± 8.4 | .45 |
Sleep disturbance (GSDS) | 42.7 ± 12.9 | 45.4 ± 13.1 | 38.9 ± 11.8 | .27 |
Depression (CES-D) | 13.0 ± 9.5 | 12.8 ± 8.5 | 13.4 ± 11.0 | .08 |
Pain (BPI) | ||||
BPI severity | 2.5 ± 1.9 | 2.5 ± 2.0 | 2.4 ± 1.9 | .85 |
BPI interference | 2.0 ± 2.6 | 2.1 ± 2.2 | 1.9 ± 1.9 | .69 |
BPI total | 2.9 ± 1.8 | 2.9 ± 1.9 | 2.8 ± 1.6 | .72 |
Fatigue (BFI) | ||||
BFI severity (sum) | 4.6 ± 2.2 | 4.9 ± 2.2 | 4.2 ± 2.1 | .72 |
BFI interference (sum) | 3.1 ± 2.5 | 3.0 ± 2.5 | 3.2 ± 2.5 | .77 |
BFI total | 3.7 ± 2.2 | 3.8 ± 2.2 | 3.7 ± 2.2 | .91 |
Effect of dietary intervention on PNS

Mean (± SD) pre-post changes | p | Cohen's d | 95% Confidence interval | |
---|---|---|---|---|
Stress (PSS) | –2.58 (± 6.34) | <.05 | 0.41 | 0.14-0.67 |
Sleep disturbance (GSDS) | –7.61 (± 17.59) | <.05 | 0.43 | -0.10=0.86 |
Depression (CES-D) | –3.82 (± 6.90) | <.01 | 0.55 | 0.32-0.86 |
Pain (BPI total) | –4.58 (± 19.24) | .09 | 0.24 | -0.08-0.66 |
Fatigue (BFI total) | –9.15 (± 21.80) | <.05 | 0.42 | 0.08-0.88 |
Effect of dietary intervention on nutrition consumption

Discussion
- Aycinena A.C.
- Valdovinos C.
- Crew K.D.
- Tsai W.Y.
- Mata J.M.
- Sandoval R.
- Hershman D.
- Greenlee H.
- Koutoukidis D.A.
- Beeken R.J.
- Manchanda R.
- Burnell M.
- Ziauddeen N.
- Michalopoulou M.
- Knobf M.T.
- Lanceley A.
- McCarroll M.L.
- Armbruster S.
- Pohle-Krauza R.J.
- Lyzen A.M.
- Min S.
- Nash D.W.
- Roulette G.D.
- Andrews S.J.
- von Gruenigen V.E.
- Zuniga K.E.
- Parma D.L.
- Munoz E.
- Spaniol M.
- Wargovich M.
- Ramirez A.G.
- Zuniga K.E.
- Parma D.L.
- Munoz E.
- Spaniol M.
- Wargovich M.
- Ramirez A.G.
Limitations
Conclusion
Implications for Practice
U.S. Department of Agriculture, 2016. Retrieved from https://ndb.nal.usda.gov/ndb (February, 2022).
Conflict of interest
Acknowledgments
Appendix. Supplementary materials
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