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. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: J Cancer Surviv. 2021 Mar 13;16(2):233–256. doi: 10.1007/s11764-021-01013-x

A Systematic Scoping Review of Post-Treatment Lifestyle Interventions for Adult Cancer Survivors and Family Members

Katrina R Ellis 1, Dolapo Raji 2, Marianne Olaniran 3, Candice Alick 4, Darlene Nichols 5, Marlyn Allicock 3
PMCID: PMC8564800  NIHMSID: NIHMS1694835  PMID: 33713302

Abstract

Purpose.

Supporting the health of cancer survivors and their families from diagnosis through survivorship is a recognized priority. However, the extent to which health promotion efforts after the completion of acute treatment attend to the needs of adult survivors and families is unclear. This systematic scoping review summarizes the key characteristics of post-treatment lifestyle interventions aiming to improve diet, physical activity, and/or weight-related outcomes for adult cancer survivors and family members.

Methods.

We retrieved relevant studies from six databases using keywords. Studies were appraised for quality and limited to English-language, peer-reviewed journal articles published in or after 2005.

Results.

A total of 2,376 articles were obtained from the databases; 14 main articles (and 2 supplemental articles) representing 14 unique interventions were retained for our analysis. Most interventions were designed to modify aspects of participant diet and physical activity (in combination) or physical activity alone; cited Social Cognitive Theory as a guiding or interpretative framework; typically included survivors of multiple cancer types; and were limited to one type of familial relationship (e.g., spouse/partner, sister). Where reported, intervention samples were predominantly White.

Conclusions.

Few post-treatment interventions concurrently target cancer survivor and family member’s positive lifestyle behaviors. Positive findings highlight the potential for expanding this area of intervention research and increasing understanding of individual and familial factors that contribute to successful post-treatment family interventions.

Implications for Cancer Survivors.

Promoting cancer survivors’ healthy behaviors within the family context could capitalize on existing support networks and improve the health of family members in supportive roles.

Keywords: Cancer survivors, Family intervention, Post-treatment, Physical activity, Diet, Weight

INTRODUCTION

Many individuals make renewed commitments to health and well-being after a cancer diagnosis [1, 2]. These efforts often include a desire to increase engagement in behaviors that promote and sustain their health [37]. Research has shown that regular physical activity, a nutritious diet, and maintaining a healthy weight can have a positive impact on cancer survivor outcomes, such as quality of life and mental health (e.g., depression, distress) [8, 9]. The Cancer Survivorship Quality Framework [10] identifies health promotion (particularly weight management, diet, and physical activity) as a key individual factor and family/caregiver relationships as a key interpersonal factor that influences survivor health outcomes. Promoting survivors’ healthy behaviors within the family context could capitalize on interpersonal resources found in existing social networks [11, 12].

Family members are often a primary source of informal support for individuals during and after cancer treatment [1315]. Common areas of family support include patient-provider communication [16], medical decision-making [17, 18], and symptom management [19, 20]. While providing this support, many family members may be managing health conditions of their own and working to maintain or improve their engagement in health-promoting behaviors [2123]. Consequently, it is useful to understand the degree to which interventions have focused simultaneously on improving survivor and family member healthy behavior engagement.

Each phase of the cancer continuum provides challenges and opportunities for promoting well-being among individuals and family members. Previous systematic reviews have identified low adherence to diet, physical activity, and other recommended lifestyle behaviors among cancer survivors [24]; opportunities to enhance interventions for families at higher risk of early-onset breast cancer [25]; flexible and innovative ways to support survivors and intimate partners through online mechanisms [26]; and, mixed evidence on associations between social support (e.g., perceptions of support, functional support, relationship quality) and cancer survivor physical activity [27]. Other relevant reviews of broader areas of literature that include, but do not specifically focus on, cancer survivors have synthesized information in areas such as exercise in spouse caregiver/care recipient dyads (multiple health conditions, including cancer) [28] and interventions for chronically ill adults and their caregivers delivered via technology (e.g., text messaging, internet) [29]. To our knowledge, there has not been a systematic examination of diet, physical activity and weight-related interventions specifically for cancer survivors and family members after the completion of acute cancer treatment (i.e., surgery, radiation, chemotherapy). There is a need for greater understanding of interventions that focus on health promotion in this population [30, 31].

Purpose

The purpose of this scoping review is to summarize the characteristics and outcomes of lifestyle interventions aimed to improve diet, physical activity, or weight management outcomes for post-treatment adult cancer survivors and family members. Data from interventions with a broad range of research designs (e.g., randomized controlled trials (RCTs), quasi-experimental, pre-experimental) are included to capture the scope of intervention approaches. Identified strengths, challenges, and gaps in current lifestyle intervention research with survivors and family members can highlight opportunities to build upon existing evidence and pinpoint future directions for this research.

METHODS

Study Design

A scoping review is a type of knowledge synthesis designed to meticulously explore the scope of a field of evidence for heterogeneous studies in a possibly comprehensive manner. We used the methodological framework and guidelines for scoping reviews published by Joanna Briggs Institute (JBI) based on earlier recommendations described by Arksey and O’Malley [32] and subsequent updates proposed by Levac and colleagues [33]. The five stages of the scoping review were: 1) identifying the research question; 2) locating relevant studies with a focus on breadth and depth (i.e., search strategy); 3) selecting studies based on established criteria (i.e., data management and study selection); 4) retrieving relevant data from selected studies (i.e., data extraction), and 5) synthesizing and reporting the results and conducting a quality appraisal. These stages incorporate an iterative method with inclusion and exclusion criteria to search the literature extensively, a quality assessment of included articles, descriptive analysis of article data, and qualitative content review. Our reporting aligns with the adapted Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) [34]. The methodology selected for our study reflects an inclusive approach that provides a rich understanding of the state of the existing evidence on lifestyle interventions for cancer survivors and family members.

Search Strategy

An experienced librarian (DN), in consultation with a health science informationist, conducted comprehensive literature searches in CINAHL and PsycInfo (both on the EBSCOhost platform), PubMed, Embase, Scopus, and the Web of Science using keywords and database-specific controlled vocabulary terms where available. The protocol for the search was registered with Open Science Framework (OSF, 2020). The searches were conducted between January 14 and February 17 of 2020. Results were limited to English-language peer-reviewed journal articles published in or after 2005. This starting date coincides with the publication of several reports drawing attention to the critical need to support the health and well-being of the growing cancer survivor population: “A National Action Plan for Cancer Survivorship: Advancing Public Health Strategies” published by the Centers for Disease Control and Prevention (CDC) and the Lance Armstrong Foundation in 2004 [35]; “Living Beyond Cancer” a 2004 summary of work by the President’s Cancer Panel [36]; and, “From Cancer Patient to Cancer Survivor: Lost in Transition” originally published by the Institute of Medicine and National Research Council 2005 and based on expert committee work conducted between 2004 and 2005 [37]. Since that time, survival rates have improved [38] and the number of individuals living with a history of cancer in the United States has increased from approximately 10 million to 16 million people [39].

Searches incorporated extensive terms to capture the concepts of diet, human body weight, physical activity, family support, cancer, and survivorship: for example, diet, healthy diet, vegetables, raw foods, nutrients, fruits, portion size, serving size, food preferences, healthy eating, exercise, fitness program, exercise therapy, physical conditioning, endurance training, exercise tolerance, muscle stretching exercises, gardening, swimming, running, walking, dancing, yoga, sports, body weight changes, weight reduction programs, weight gain, weight loss, body weight maintenance, overweight, obesity, aftercare, rehabilitation, continuity of patient care, cancer survivors, postoperative period, post-treatment, quality of life, family, social support, caregivers, spouses, nuclear family, family relations, psychosocial support systems, cancer, and neoplasms.

Data Management and Study Selection

We downloaded articles meeting our search criteria into Endnote. We also created a database in Microsoft Excel for data entry and management, which we used to monitor the process of tracking and removing inner and external duplicates from the pool of our data. Once we had a de-duplicated Endnote library, we uploaded the library to DistillerSR to complete title and abstract screening and full text review. The title and abstract of every retrieved literature were independently reviewed and screened by two study team members to determine studies to be assessed further. When discrepancies among team members occurred, discussion between the team members or a third study team member resolved discrepancies. We repeated the same process to screen the full text of all potentially relevant articles.

Article selected for inclusion in the review met the following criteria: 1) the study was peer-reviewed; 2) the article was published from 2005 onward; 3) the sample included adult cancer survivors ≥18 years of age and family members of any age; 4) the intervention sought to address weight or weight management, improve physical activity, and/or improve nutrition after the end of curative treatment; 5) intervention outcomes included at least one of the following: (a) anthropometric assessment, for example, body weight, body mass index (BMI), body fat, waist measurements; (b) weight-, physical activity-, or nutrition-related constructs (e.g., knowledge, behavior, efficacy, beliefs); and, 6) an English language version of the full text of the article was available. We conducted a pilot test for our study selection process from a random sub-sample of articles; a high level of inter-rater reliability (97.5%) was achieved, which demonstrated consistency and validity of our screening process.

Data Extraction and Quality Appraisal

The study team developed and used a data extraction and quality appraisal spreadsheet in Google Sheets to provide a clear and systematic description of the articles included in the study. The extracted data included but was not limited to study characteristics (e.g., author, publication year), study location, demographics, cancer type, the presence of clarifying commonly used terms such as ‘survivors’ and ‘supporters’, outcome measures, intervention findings. We also created a study codebook to help guide the collection of data to answer the research questions.

The data extraction and quality assessment spreadsheet was refined through pilot testing among team members (KE, DR, MA, MO, CA). To assess reliability, the team independently extracted data, which was followed by a team meeting for discussion and feedback on discrepancies. Upon completing the pilot tests, a high level of inter-rater reliability was achieved for data extraction and quality appraisal (89.69% and 83.33%, respectively). According to the studies reported by Belur et al. 2018, coder agreement above 80% is generally viewed as acceptable [40].

Several steps were undertaken if data being extracted for the review were determined to be missing from the source articles (i.e., main study article). First, the study team created a separate table that noted all the missing characteristics, and the lead author (KRE) verified whether data were missing from the main study article. Next, with the assistance of the experienced librarian (DN), two study team members (KRE & DR) searched for the missing data in other manuscripts referenced in the main study article, reviewed supplemental materials provided with the article (if available), articles that cited the main study article, and articles citing the same grant/funding source. Additional articles were included as supplemental articles if they provided information that complimented and/or added to information provided in the main study article. If data were not located, attempts were made to contact the corresponding author. In these requests, the study team prioritized missing data focused on sample and intervention characteristics. The study team made two attempts to contact the corresponding author via email and request the missing data.

Quality appraisal was conducted following best practices for scoping reviews [32]. We assessed study quality using a 12-point checklist, with one point awarded for each of the criteria met. Our quality assessment checklist was created by modifying Jinks and colleagues’ (2011) quality assessment checklist to fit the purposes of this review [41]. Our modifications included assessment criteria that reflected the description of study designs in our review, such as intervention settings, strengths and limitations, and the likelihood of biases. A detailed summary of the checklist is provided in Table 3.

Table 3:

Quality assessment

Article (Author, Year)
Assessment
(1=present; 0=absent)
Anton et al. 2013 Barber 2013 Cadmus-Bertram et al. 2019 Conlon et al. 2015
Demark-Wahnefried et al. 2014 James et al. 2015 Knobf et al. 2018
Manne et al. 2019 Pisu et al. 2017
Porter et al. 2018
Ross Zahavich et al. 2012 St. George et al. 2019 Stoutenberg et al. 2016 Winters-Stone et al. 2016
Research question/objectives/hypothesis are clear and appropriate 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Clear overview of intervention is given with use of appropriate outcome measures 0 0 1 1 1 1 1 1 1 1 1 1 1 1
Sample size is given 0 1 1 1 1 1 1 1 1 1 1 1 1 1
Randomization method is used in sample selection 0 0 1 0 1 1 0 1 0 1 0 1 0 1
Attrition rate from the intervention is recorded 0 1 0 1 1 1 1 1 0 1 0 0 1 1
Data analysis is adequately described and rigorous 0 0 1 1 1 1 1 1 1 1 1 1 1 1
Outcomes of the interventions are clearly described 0 0 1 1 1 1 1 1 1 1 1 1 1 1
Ethical issues mentioned 1 0 1 1 1 1 1 1 1 1 1 1 1 1
Description of intervention setting where contents are delivered 0 0 1 1 1 1 0 1 1 1 1 1 1 1
Strengths AND limitations mentioned or acknowledged 1 1 1 1 1 1 1 1 1 1 1 1 1 1
The likelihood of biases mentioned 1 1 1 1 1 1 0 1 0 1 1 1 0 1
Conclusions supported by the results 0 1 1 1 1 1 1 1 1 1 1 1 1 1
Quality Score (out of 12) 4 6 11 11 12 12 9 12 9 12 10 11 10 12

RESULTS

The search strategy yielded 2,376 studies. A total of 73 abstracts were obtained from the databases that met our inclusion criteria based on title and abstract review. After examining full text articles and supplementary materials (as applicable), 14 main study articles and 2 supplemental articles representing 14 interventions were retained for our study. A detailed summary of the search and study selection process is in Figure 1. Sample and intervention characteristics are summarized in Tables 1 & 2. Quality assessment information can be found in Table 3. The information included in the tables is discussed below.

Figure 1.

Figure 1.

Flow chart of study selection process

Table 1.

Study & Intervention Characteristics

Author/ Year Intervention Name Intervention
Setting
Sample Characteristics Cancer Type and Stage Study Focus Purpose
Diet Physical Activity Weight
Anton et al. 2013 Strong Survivors Nutrition and Exercise Program for Cancer Survivors and Caregivers (SS) Not reported (NR) Sample Size
12 participants (NR survivors, NR family members)

Sample Size
-Mean age: NR
-Sex: NR
-Race: NR

Family members
-Relationship type(s): spouses/partners
-Age: Range 27–73
-Sex: 50% male, 50% female
-Race: NR
Type(s)
Uterine, prostate, breast, leukemia, testicular

Stage
0-IIIB
X X Explore cancer caregivers’ perceptions of participating in a structured exercise and nutrition program with cancer survivors.
Barber 2013 FitSTEPS for Life® (FSFL) Community-based exercise site Sample Size
101 participants (62 survivors, 39 caregivers)

Survivors
-Mean age: 65.2
-Sex: 79% female, 21% male
-Race: White=81%, African American=7%, Hispanic/Latino=5%, Asian/other=5%

Family members
-Relationship type(s): spouses, parents, children, siblings, relative
-Mean age: 62.1
-Medical conditions: 17 hypertension, 15 high cholesterol, 9 arthritis, 3 diabetes, 3 heart disease
-Sex: 74% female, 26% male
-Race: White=83%, African American =11%, Hispanic/Latino=6% (n=36 reporting)
Type(s)
Breast, lung, cervical, endometrial, colorectal, liver, gastric, lymphoma, myeloma, leukemia, melanoma, skin, sarcoma, head, neck, kidney, prostate, brain

Stage
I-IV
X Examine associations between cancer survivor and caregiver social support, self-efficacy for physical activity, physical activity behavior, and quality of life.
Cadmus-Bertram et al. 2019 NR Clinic; home; internet application, online, web-based platform; smartphone app; work site; email 25 dyads (25 survivor, 25 support partner dyads)

Survivors
-Mean age: 54.4
-Sex: 96% female
-Race: White=94%, Hispanic=2%, Black=2%, Multiracial=2%

Family members
-Family relationship type(s): spouses, relative (broad reference)
Breast and colorectal cancer.

Stage
I-III
X Test the feasibility of augmenting survivorship care planning with a multi-level physical activity intervention.
Conlon et al. 2015 Bronx Oncology Living Daily (BOLD) Healthy Living (BHL) Program Church; clinic; community-based Sample Size
83 participants (66 cancer survivors, 17 cancer co-survivors)

Survivors
-Mean age: 59.0
-Sex: 93.9% female
-Race: African American=45.4%, White=10.6%, Hispanic=31.8%, Other=12.1%

Family members
-Relationship type(s): NR (study reported co-cancer survivors as family members, friends, anyone who acts as support)
-Mean age: 66.4
-Sex: 100% female
-Race: African American=94.1%, Hispanic=5.9%
Type(s)
Breast, gynecological, lung.

Stage
NR
X X Facilitate behavior change among cancer survivors to reduce diabetes risk and improve health-related quality of life through nutrition education and physical activity.
Demark-Wahnefried et al. 2014 DAMES (Daughters And MothErS Against Breast Cancer) Home, print materials Sample Size
68 dyads (68 mother, 68 daughter dyads)

Survivors
-Mean age: 61.3
-Sex: 100% female
-Race: Non-Hispanic White=74%, African American=18%, Hispanic White=7%, Asian=1%

Family members
-Relationship type(s): mother/daughter
-Mean age: 32.9
-Sex: 100% female
-Race: NR
Type(s)
Breast

Stage
0-III
X X X Explore the feasibility of a mother-daughter weight loss intervention and evaluate individual approach vs. team-based approaches to achieving diet and exercise goals and reductions in body mass index (BMI).
James et al. 2015







Supplemental article:
Stacey et al. 2016
The Exercise and Nutrition Routine Improving Cancer Health (ENRICH) Home, group based sessions (community) Sample Size
133 participants (96 survivors, 24 caregivers, 12 both cancer survivors and caregivers, 1 missing)

Survivors
-Mean age: control group 58.1 and intervention group 56.2
-Sex: control 74.1% female, intervention 56.2% female
-Race: NR

Family members
-Relationship type(s): spouses, relative/friend
-Mean age & sex: NR
-Race: NR
Type(s)
Breast, prostate, colorectal, melanoma, non-Hodgkins lymphoma, leukemia, ovarian, and thyroid

Stage
NR
X X X Report findings of a theory-based, group-delivered, face-to-face multiple health behavior change intervention on behavioral outcomes among survivors and caregivers.
Knobf et al. 2018 Healthy Sisters - Intervention for Women of Color Breast Cancer Survivors (WCBCS) NR Sample Size
40 participants (30 survivors, 10 partners)

Survivors
-Mean age: 55.7
-Sex: 100% female
-Race: African American=87.5%, White=2.5%, Hispanic=10%

Family members
-Relationship type(s): siblings
-Mean age: 55.7
-Sex: 100% female
-Race: African American=80%, White=10%, Hispanic=10%
Type(s)
Breast

Stage
NR
X X Examine feasibility and preliminary efficacy of a culturally grounded lifestyle intervention focused on functional ability, quality of life, and health behaviors.
Manne et al. 2019



Supplemental article:
Myers-Virtue et al. 2015
General Health and Wellness (GHW) Clinic Sample Size
132 couples (132 survivors, 132 spouses)

Survivors
-Mean age: 60.7
-100% male
-Race: White=78%, African American=17%, Hispanic=3%, Asian=0.8%, Other=0.8%

Family members
-Relationship type(s): spouse/partners
-Mean age: 57.1
-Sex: 100% female
-Medical conditions: elevated levels of cancer-specific distress
-Race: White=76%, African American=16%, Hispanic=5%, Asian=2%, Other=0.8%
Type(s)
Prostate

Stage
I-III
X X Explore the degree of correspondence between physical activity and fruit and vegetable consumption among prostate cancer survivors and spouses using baseline data from an RCT, from which the GHW intervention was a comparison study arm.
Pisu et al. 2017 Restoring Health in You (and Your Partner) through Movement (RHYTHM) Community-based dance studio Sample Size
31 couples (31 survivors, 31 partners)

Survivors
-Mean age: 57.9
-Sex: 100% female
-Race: White=77.4%, African American=22.6%

Family members
-Relationship type(s): spouses/partners
-Mean age: 60.7%
-Sex: 100% male
-Race: White=77.4%, African American=22.6%
Type(s)
Endometrial, ovarian, breast, colorectal

Stage
NR
X Assess feasibility, acceptability and impact of a ballroom dance intervention on improving quality of life and relationship outcomes in cancer survivors and their partners.
Porter et al. 2018 Move2Health Home-based via video-conference Sample Size
20 dyads (20 survivors, 20 partners)

Survivors
-Mean age: 63.0
-Sex: 70% female
-Race (intervention): White=44.4%, African American=22.2%, More than 1 race=33.3%. (control): White=100%

Family members
-Relationship type(s): spouses/partners
-Mean age: 62.8
-Sex: 35% female
-Race (intervention): White=55.6%, African American =11.1%, More than one race=33.3%. (control): White=81.8%, More than 1 Race=18.2%
Type(s)
Breast and prostate

Stage
I-IV
X Determine the acceptability of a couple-based PA intervention delivered via videoconference and the feasibility of conducting a randomized controlled trial testing the intervention among breast and prostate cancer survivors and their partners.
Ross Zahavich et al. 2012 Yoga Thrive Class-based (location not specified) Sample Size
25 participants (15 survivors, 10 support persons: 9 spouse, 1 friend)

Survivors
-Mean age: 64.5
-Sex: 100% male
-Race: NR

Family members
-Relationship type(s): spouse/friend
-Mean age: 60.6
-Sex: 100% female
-Race: NR
Type(s)
Prostate

Stage
NR
X Examine the feasibility and benefit of a therapeutic yoga program offered to prostate cancer survivors and their support persons.
St. George et al. 2019 NR Mobile device use (digital health intervention) Sample Size
46 participants (a subset of 21 participants completed individual interviews)

Survivors
-Mean age: 66.1
-Sex: 100% female
-Race: Hispanic=34%, non-Hispanic black=33%, non-Hispanic white=33%

Family members
-Relationship type(s): parent/adult child, grandparent/grandchild
-Mean age (adult children): 39.9; (grandchildren): 12.7
-Sex: NR
-Race (adult children): Mean Hispanic=2.2, Mean non-Hispanic Black=2.5, Mean non-Hispanic White=2.2. (grandchildren): Mean Hispanic=3.6, Mean non-Hispanic Black=5.6; Mean non-Hispanic White=2.3
Type(s)
Breast, endometrial, or ovarian

Stage
I-III
X X X Design a multigenerational digital lifestyle intervention to improve physical activity, diet and weight among racially and ethnically diverse overweight and obese women cancer survivors by encouraging positive healthy behaviors in their family members (children and grandchildren).
Stoutenberg et al. 2015 Integrated Wellness Program Clinic Sample Size
20 participants (16 survivors, 4 caregivers)

Survivors
-Mean age: 62.5
-Sex: 75% female, 25% male
-Race: White=75%, African American=10%, Hispanic=15%

Family members
-Relationship type(s): NR
-Mean age: data combined with survivors
-Sex: NR
-Race: NR
Type(s)
Breast, prostate, gastric, multiple myeloma, pancreatic, and more than one cancer type ( i.e., multiple cancer)

Stage
NR
X X Assess the effectiveness of the Integrative Wellness Program on improving physical activity, nutrition, sleep hygiene, and quality of life program completers.
Winters-Stone et al. 2016 The Exercise Together Project Oregon Health & Science
University (OHSU)
Sample Size
64 couples (64 survivors, 64 spouses)

Survivors
-Mean age: Intervention (70.6), control (72.9)
-Sex: 100% male
-Race: Intervention 91%=Caucasian, 97%=Non-Hispanic, Control 94%=Caucasian, 94%=Non-Hispanic

Family members
-Family relationship type(s): spouses
-Mean age: Intervention (66.5), control (69.7)
-Sex: 100% female
-Race: Intervention 91%=Caucasian, 97%=Non-Hispanic, Control 94%=Caucasian, 94%=Non-Hispanic
Type(s)
Prostate

Stage
NR
X X Determine the feasibility and preliminary efficacy of a couples-based approach to exercise training for couples coping with prostate cancer.
Author/Year Intervention Name Study
Design
Intervention Duration & Follow-Up Period Brief Description of Intervention Content
Anton et al. 2013 Strong Survivors Nutrition and Exercise Program for Cancer Survivors and Caregivers (SS) Pre-experimental Duration
12 weeks

Follow-Up
6 months
Basic nutrition and exercise to benefit the physical and psychosocial health of cancer survivors and cancer caregivers.
Barber 2013 FitSTEPS for Life® (FSFL) Quasi-experimental Duration
NR

Follow-Up
1 month
Individually tailored and supervised community-based exercise program for cancer survivors and caregivers.
Cadmus-Bertram et al. 2019 NR Randomized controlled pilot trial Duration
12 weeks

Follow-Up
NR
The control group received a care plan, printed copy of national dietary guidelines, and standardized emails during an 8-week period. The intervention group received a care plan, 12-week physical activity module and Fitbit trackers.
Conlon et al. 2015 Bronx Oncology Living Daily (BOLD) Healthy Living (BHL) Program Pre-experimental; pilot program Duration
1 year

Follow-Up
NR
Weekly group nutrition education and exercise classes (60 to 75 minutes) for 4 weeks or 12 weeks. At-home class materials and physical activities provides to people who missed group sessions.
Demark-Wahnefried et al. 2014 DAMES (Daughters And MothErS Against Breast Cancer) Three-arm randomized controlled trial Duration
1 year

Follow-Up
6, 12 months
Arm 1: tailored diet and exercise intervention delivered to individuals in dyads

Arm 2: tailored diet and exercise intervention emphasizing a team-based approach among dyads

Arm 3: Standardized diet and exercise materials

All arms received a personalized workbook, informational mailings on a bimonthly basis over the course of a year on exercise and diet (e.g., portion control, nutritious diets, aerobic activity, strength training).
James et al. 2015



Supplemental article: Stacey et al. 2016
The Exercise and Nutrition Routine Improving Cancer Health (ENRICH) Randomized controlled trial Duration
8 weeks

Follow-Up
20 weeks, 12 months
Information and activities focused on healthy eating, maintaining a healthy weight, a home-based walking program and resources, and a home based resistance training program with information and resources using a mix of didactic information delivery and practical activities.
Knobf et al. 2018 Healthy Sisters - Intervention for Women of Color Breast Cancer Survivors (WCBCS) Feasibility study Duration
6 weeks

Follow-Up
3, 6 months
Symptom identification and management; physical activity benefits, recommendations, and safety; nutrition choices and strategies; group empowerment and peer support, community resources; health goals; prayer at all sessions.
Manne et al. 2019




Supplemental article:
Myers-Virtue et al. 2015
General Health and Wellness (GHW) Randomized controlled trial Duration
5 weeks

Follow-Up
3, 6 months
Audio-recorded couples’ sessions and a booster call focused on healthy lifestyles, including: dietary assessment, setting goals, adopting a plant-based diet, relaxation, and increasing regular activity.
Pisu et al. 2017 Restoring Health in You (and Your Partner) through Movement (RHYTHM) Randomized controlled trial with waitlist control Duration
12 weeks (avg - 14.7 weeks; max - 19 weeks)

Follow-Up
NR
Couples were taught dances (e.g., Foxtrot, Waltz, Cha-Cha and East Coast Swing) and were expected to practice 5 times per week to increase their physical activity.
Porter et al. 2018 Move2Health Randomized controlled trial with waitlist control Duration
2 months

Follow-Up
2 months
Videoconference sessions that included training in communication skills to help couples identify and use effective social support strategies, engage in joint decision making about goals and plans for increasing physical activity, and work through barriers to behavior change.
Ross Zahavich et al. 2012 Yoga Thrive Feasibility study including an adherence and maintenance phase Duration
14 weeks

Follow-Up
7, 14 weeks
Class-based therapeutic yoga program offered to all prostate cancer survivor participants and their support persons and a maintenance phase involving self-selected physical activity.
St. George et al. 2019 NR Pre-experimental design using the Integrate, Design, Assess, and Share
(IDEAS) framework to guide intervention development.
Duration
12 months

Follow-Up
NR
Didactic content for improving diet and physical activity behaviors (e.g., recipes, exercises), setting and monitoring goals, and enhancing communication. Integrated behavior change and intrinsic motivation-related elements from social cognitive theory (e.g., goal setting, self-regulation, autonomy) and characteristics of positive family relationships from family systems theory (e.g., communication).
Stoutenberg et al. 2015 Integrated Wellness Program Pre-experimental; pilot program Duration
1 year

Follow-Up
NR
Knowledge about the benefits of different health practices such as resistance and cardiovascular exercises, eating habits, and mindfulness technique and applied experiences (i.e., practicing exercises).
Winters-Stone et al. 2016 The Exercise Together Project Randomized controlled trial Duration
6 months
Follow-Up
3, 6 months
Couples attend group strength-training exercise sessions led by an exercise physiologist with spouse/partners as training partners.

Table 2.

Intervention Goals, Measures and Findings

Author/Year Intervention Name Intervention Goals Measures Key Findings
Anton et al. 2013 Strong Survivors Nutrition and Exercise Program for Cancer Survivors and Caregivers (SS) Diet
Provide education on basic nutrition in the management of many physical and psychosocial issues related to cancer survivorship and cancer caregiving

Physical Activity Educate survivors and caregivers on the techniques and importance of exercise in the management of the many physical and psychosocial issues related to cancer survivorship and cancer caregiving
Diet & Physical Activity
Semi-structured interview guide, with questions regarding participant experience in the program, including benefits and drawbacks; physical activity and nutrition behaviors, barriers, facilitators and changes; and influence of program on caregiving experience
Caregivers
Caregivers reported that the program helped them spend more quality time with the care recipient; caregivers derived physical and psychological benefits from the program; the program served as an additional source of support for caregivers; and, the program helped to improve caregiver skills and abilities.

Survivors
Not reported
Barber 2013 FitSTEPS for Life® (FSFL) Physical Activity
Improve self-efficacy for physical activity, physical activity behavior, and perceptions of social support for physical activity participation
Physical Activity
-Social Support and Exercise Survey (Sallis)
-Exercise Confidence Survey (Sallis)
-8-Foot Up-and-Go
-Medical Outcomes Survey Short Form 8 (SF-8)
Survivors and Caregivers
Higher physical QoL among caregivers; No significant differences in social support, self-efficacy for PA, PA, or mental QOL in cancer survivors or their caregivers at the one-month follow-up visit.
Cadmus-Bertram et al. 2019 NR Physical Activity
To increase survivors’ and supporters’ physical activity

Weight: Though not part of the specific study goal, weight change was reported
Physical Activity
ActiGraph GT3X+ accelerometer

Weight
Digital scale
Survivors and Support Partners*
Increase in physical activity, daily steps among survivors and support partners in the intervention; Intervention group lost 1.8kg compared with the comparison group.

*results not separated by group
Conlon et al. 2015 Bronx Oncology Living Daily (BOLD) Healthy Living (BHL) Program Diet & Physical Activity
To support behavior change that reduces cancer survivor diabetes risk and improves their health-related quality of life and increase community capacity to support the health of survivors transitioning from active treatment.
Quality of Life
2 items from 36-Item Short Form Health Survey (SF-36)

Weight
Anthropometric measurements of height, weight, and waist circumference
Survivors and Family Members
There were no statistically significant changes in BMI; however, mean waist circumference significantly improved among participants in the 12-week program. Most participants reported that the program helped them to meet their short-term goals.
Demark-Wahnefried et al. 2014 DAMES (Daughters And MothErS Against Breast Cancer) Weight
Promote weight loss in overweight and obese mothers recently diagnosed with breast cancer and their daughters who were also overweight or obese.
Diet
-24-hour dietary recalls using the interactive Nutrition Data System Revised software
-Healthy Eating Index

Physical Activity
-Cardiopulmonary exercise test (CPET)
-Leisure-Time Exercise Questionnaire

Clinical Assessments
Height, weight, BMI, systolic and diastolic blood pressure, cardiopulmonary exercise test to assess exercise capacity (VO2peak), oxyhemoglobin saturation.

Health-Related Quality of Life
36-Item Short Form Health Survey (SF-36)

Self-Efficacy
2 items developed by study team.

Social Support
Sallis et al. validated scales measuring social support for diet and exercise change.
Survivors (Mothers)
There were significant reductions in BMI, weight and waist circumference among mothers in the individual arm vs. the control arm. Mothers in the individual arm lost a clinically-significant amount of weight.

Daughters
There were significant reductions in waist circumference among daughters in the individual vs. the control arm. Daughters in the individual arm lost a clinically-significant amount of weight.

Dyads
Compared to dyads in the control group, dyads in the individual and team arms reported more physical activity per week and exercise capacity.
James et al. 2015






Supplemental article: Stacey et al. 2016
The Exercise and Nutrition Routine Improving Cancer Health (ENRICH) Diet, Physical Activity, & Weight
To improve pedometer-assessed PA, weight, and subsequently body mass index, and vegetable consumption
Diet
Food frequency questionnaire (FFQ)

Physical Activity
Sealed pedometer to measure step counts during various types of physical activity.

Self-Efficacy
9-item scale (Plotnikoff, et al.)

Behavior Goals
1-item scale (Courneya, et al.)

Outcome Expectations
5-item scale (Plotnikoff, et al.)

Impediments
5-item scale (Plotnikoff, et al.)

Social Support
2-item scale (Courneya, et al.)
Survivors and Carers*
There was a significant increase in mean daily steps and daily vegetable consumption. Higher step count at follow-ups vs. baseline intervention group; lower step count at follow-ups vs. baseline in control groups. Weight loss was also reported at follow-ups. Behavioral goals were a significant mediator.

*results not separated by group
Knobf et al. 2018 Healthy Sisters - Intervention for Women of Color Breast Cancer Survivors (WCBCS) Physical Activity & Diet
Improve functional ability, quality of life, and health lifestyle behaviors, including physical activity and nutrition.
Physical Activity & Diet
The Health Promoting Lifestyle Profile II (assesses health responsibility, physical activity, nutrition, interpersonal relations, spiritual growth, and stress management)

Functional Ability
Medical Outcomes Short Form (MOS-SF36)

Quality of Life
The Functional Assessment of Cancer Therapy-Breast (Version 4) (FACT-B)

Empowerment
Self-Efficacy for Exercise Scale
Survivors
There were significant increases in self-efficacy to engage in physical activity, health lifestyle behaviors (overall), physical activity, nutrition, and stress management.

Family Members
There were significant increases in healthy lifestyle behaviors (overall), nutrition, and health responsibility.
Manne et al. 2019








Supplemental article:
Myers-Virtue et al. 2015
General Health and Wellness (GHW) Diet & Physical Activity
To improve the adoption and maintenance of a healthy lifestyle through nutrition education and goal setting, and engaging in regular physical activity.
Diet
An 8-item self-report assessment (Borger, et al.)

Physical Activity
Godin Leisure Time Exercise Questionnaire

Partner Support
A 5-item measure (Butterfield and Lewis, 2002)

Cancer-Related Distress
The Impact of Events Scale (IES; Horwitz, et al.)

Depression
The Patient Health Questionnaire-9 (PHQ-9)

General Psychological Adjustment
The Mental Health Inventory-38 (Veit & Ware,)
Survivors and Partners
Baseline findings* showed significant adherence for meeting physical activity guidelines but in terms of fruit and vegetable guidelines, there was no statistical significance.

*baseline findings from the supplemental article were not as a result of intervention effects. Manne et al, on the other hand, did not report intervention effects for lifestyle behaviors.
Pisu et al. 2017 Restoring Health in You (and Your Partner) through Movement (RHYTHM) Physical Activity Increase physical activity and improve relationship functioning and quality of life. Physical Activity
Godin Leisure Time Exercise Questionnaire

Functional Capacity
6 Minute Walk Test

Quality of Life
36-Item Short Form Health Survey (SF-36)

Relationship Functioning
-Dyadic Trust Scale
-Dyadic Adjustment Scale (DAS-7)
-3-item Perceived Self-Disclosure Scale
Survivors
Improved physical activity, functional capacity, mental quality of life, vitality, social functioning, and mental health among survivors in treatment vs. control group.

Partners
No significant differences between treatment and control groups.
Porter et al. 2018 Move2Health Physical Activity
Increase physical activity by leveraging partner social support for behavior change.
Physical Activity
Godin Leisure-Time Exercise Questionnaire

Partner Support
A 15-item scale that measures partner support for exercise habits (Sallis, et al.)

Quality of Life
Functional Assessment of Cancer Therapy-General (FACT-G physical wellbeing subscale; survivors)
Survivors and Partners
Dyadic communication skills and communal coping enhanced greater participation in physical activity. Survivors and partners reported improved physical activity and physical well-being.
Ross Zahavich et al. 2012 Yoga Thrive Physical Activity
Increase physical activity adherence by incorporating social support
Physical Activity
Godin’s Leisure Score Index (LSI) of the Godin Leisure Time Exercise Questionnaire

Quality of Life
-Functional Assessment of Cancer Therapy–Prostate Scale (FACT-P; survivors)
-Short Form Health Survey (SF-12; support persons)

Fatigue
-Functional Assessment of Cancer Therapy–Fatigue scale (FACT-F; survivors)
-Fatigue Severity Scale (FSS; support persons)

Perceived Social Support
Social Provisions Scale (SPS; survivors only)

Fitness
Canadian Physical Activity, Fitness and Lifestyle Approach (CPAFLA; survivors only)

Stress, Mood & Fatigue Thermometer
Thermometer Scale
Survivors and Support Persons
Improved stress, fatigue and mood; no significant changes in quality of life or fatigue. Higher perceived social support among survivors when survivor and support person participated together.
St. George et al. 2019 NR Diet
Dietary intake of at least 2.5 cups per day of fruits and vegetables

Physical Activity
Engage in regular physical activity (≥ 150 minutes of moderate activity per week)

Weight
Achieve and maintain a healthy weight (i.e., “normal” BMI)
Diet
Block Fruit/Vegetable/Fiber and Fat Intake Screeners
Physical Activity
-International Physical Activity Questionnaire – Short Form (IPAQ-SF)
-Metabolic equivalent of task (MET) scores for moderate and vigorous physical activity

Weight
Body-mass index (BMI)

Family Functioning
Family Environment Scale (FES)
Survivors
Low fruit intake, moderate vegetable intake, and high levels of moderate physical activity was reported among survivors.

Family Members
Not reported
Stoutenberg et al. 2015 Integrated Wellness Program Diet
To engage in an active learning process that improves participants’ knowledge and self-efficacy in making healthy dietary decisions.

Physical Activity:
To improve participants’ knowledge and self-efficacy in making healthy decisions to engage in physical activity.
Diet
-Self-Efficacy and Eating Habits Survey
-Starting the Conversation (STC, an eight-item simplified food frequency instrument)

Physical Activity
-Godin Leisure–Time Survey
-Self-Efficacy and Exercise Habits Survey

Sleep
The Pittsburgh Sleep Quality Index (PSQI)

Quality of Life
Short-Form Health Survey (SF-36)
Survivors and Caregivers*
Increased self-efficacy in adopting healthy dietary behaviors; no significant result was reported in physical activity attitudes.

*results not separated by group
Winters-Stone et al. 2016 The Exercise Together Project Physical Activity & Weight
To facilitate partnered exercise as an activity for improving muscle strength, bone mass, body composition, and relationship quality.
Physical Activity
-Physical Performance Battery (PPB)
-CHAMPS questionnaire
-1-repetition maximum test (1-RM)

Weight
Body composition (lean and fat mass)

Fatigue
Piper Fatigue Scale

Depression
Center for Epidemiological Studies-Depression (CES-D)

Mental & Physical Health
Short-Form 36
Survivors
-Increase in moderate-vigorous intensity physical activity

Partners
-No significant increase in physical activity was reported
-Slight increase in lean mass was reported
There was an overall decrease in percentage body fat*

*result not separated by group

Sample Characteristics

Sample Size

The number of families (i.e., survivor and family member enrolled) included in the studies ranged from 9 to 132. Some interventions allowed individuals to enroll alone or with a family member, while others required a survivor and a family member. The number of survivors represented in studies ranged from 16 to 132; the number of family members represented ranged from 4 to 132. The number of family member types (i.e., siblings, children, spouses, etc.) included in the interventions ranged from 1 to 5. Where reported, the mean age ranged from 54.4 to 72.9 years for survivors and 12.7 to 69.7 years for family members. Females made up the majority of the survivor sample in 71.5% of interventions (n=10) [4252]; in 50% (n=7) of interventions, family members were primarily female [42, 4446, 5356].

Family Relationships

In half of the studies (50%, n=7), familial relationships between survivors and family members were limited to one type of familial relationship such as spouse/partner or mother/daughter [4548, 53, 5557], while others included mixed types of relationships (37.7%, n=5) [42, 43, 49, 50, 52, 54]. Overall, most studies (64.3%, n=9) included spouses or partners [42, 43, 47, 48, 50, 5257]. Parent/child (14.3%, n=2) [42, 45], sibling (14.3%, n=2) [42, 46], and grandparent/ grandchild relationships (7.1%, n=1) [49] were also observed. Relationship type was not specified in two interventions (14.3%, n=2) [44, 51]. Though not a focus of this scoping review, a few studies (21.4%, n=3) [44, 50, 52, 54] also included non-family members (i.e., friends).

Cancer Type, Stage, and Time Since Treatment

Five of the interventions focused on a single cancer type, either breast cancer (14.3%, n=2) [45, 46] or prostate cancer (21.4%, n=3) [5356]. In a majority of interventions, however, multiple cancer types were represented (64.3%, n=9) [4244, 4749, 51, 52, 57, 58]. Survivors of breast cancer were included in most of the studies (78.6%, n=11) [4252, 57]; other cancer types represented were colorectal (28.6%, n=4) [42, 43, 47, 50, 52], endometrial (21.4%, n=3) [42, 47, 49], leukemia (21.4%, n=3;) [42, 50, 52, 57], ovarian (21.4%, n=3) [47, 49, 50, 52], myeloma (14.3%, n=2) [42, 51], lung (14.3%, n=2) [42, 44], gastric (14.3%, n=2) [42, 51], lymphoma (14.3%, n=2) [42, 50, 52], melanoma (14.3%, n=2) [42, 50, 52], uterine (7.1%, n=1) [57], testicular (7.1%, n=1) [57], cervical (7.1%, n=1) [42], liver (7.1%, n=1) [42], skin (7.1%, n=1) [42], sarcoma (7.1%, n=1) [42], head/neck (7.1%, n=1) [42], kidney (7.1%, n=1) [42], brain (7.1%, n=1) [42], thyroid (7.1%, n=1) [50, 52], pancreatic (7.1%, n=1) [51], and unspecified gynecological cancers (7.1%, n=1) [44]. The stage of cancer across all studies ranged from 0-IV; cancer stage was not reported in half of the studies (50%, n=7) [44, 46, 47, 51, 52, 54, 55, 59]. Time since treatment was reported in three studies (21.4%, n=3) [53, 54, 56, 57]; it ranged from 6 to 12 months and overall time since diagnosis was reported in 5 studies ranging from 24 months to 60 months (37.5%, n=5) [44, 45, 47, 50, 52, 54].

Family Medical History

Very few studies reported physical and/or mental health conditions of family members (14.3%, n=2). Of these two studies, one reported cancer-related distress of family members [53, 56]. The other reported the prevalence of hypertension, high cholesterol, arthritis, diabetes, heart disease among family members [42].

Race and Ethnicity

Racial and ethnic composition was reported for cancer survivors and/or family members in most of the intervention studies (78.6%, n=11) [4249, 53, 55, 56]. All studies had more than one racial or ethnic group; however, many studies included a primary racial group, representing over 50% of the sample. For example, in 50% (n=7) studies, the population sample for survivors and family members were predominantly White (50%, n=7) [42, 43, 45, 47, 48, 51, 53, 56]; in 14.3% (n=2) the study sample was predominantly African American [44, 46]; in 7.1% (n=1) the study sample was predominantly Hispanic (excluding non-Hispanic White or non-Hispanic Black race) [49]; and, in 7.1% (n=1) the study sample was predominantly non-Hispanic, non-White [55].

Study Design

Study Type & Theoretical Framework

Half of the intervention study design types were RCTs (50%, n=7) [43, 45, 47, 48, 50, 52, 53, 55, 56] and one study employed a quasi-experimental design (7.1%, n=1) [42]. A theoretical framework or model was discussed in most of the intervention studies (71.4%, n=10) [42, 4453, 56]. The theories included: social cognitive theory (35.7%, n=5) [42, 45, 4952]; interdependence theory (21.4%, n=3) [45, 48, 53, 56]; theory of communal coping (14.3%, n=2) [45, 48]; socio-ecological framework (7.1%, n=1) [44]; transtheoretical model of behavior change (7.1%, n=1) [45]; cognitive interaction (7.1%, n=1) [47]; health belief model (7.1%, n=1) [51]; intimacy model (7.1%, n=1) [47]; self-determination theory (7.1%, n=1) [49]; chronic disease self-management model (7.1%, n=1) [50, 52]; and, family systems theory (7.1%, n=1) [49]. Most of the studies reported more than one theory in their study designs (42.9%, n=6) [45, 4752], and a few others reported one theory (28.6%, n=4) [42, 44, 46, 53, 56].

Measurement

A variety of measures captured social support and social interactions believed to be associated with the health behavior engagement, including interpersonal trust in relationships, relationship quality, level of agreement, cohesion, expressiveness, and conflict, among others. Most studies measured perceived social support in some capacity (57.1%, n=8) [42, 4649, 5356]. Measures used included the Social Support and Exercise Survey (14.3%, n=2) [42, 48], Dyadic Trust and Dyadic Adjustment Scale (7.1%, n=1) [47], Spiritual Growth and Interpersonal Relations Subscale (7.1%, n=1) [46], Social Provisions Scale (7.1%, n=1) [54], a 5-item measure adapted from Butterfield and Lewis (7.1%, n=1) [53, 56], a 15-item Mutuality Scale (7.1%, n=1) [55], and the Family Environment Scale (7.1%, n=1) [49].

Intervention Characteristics

Settings

Intervention settings were varied and in some instances, included multiple locations. Interventions occurred at academic settings (7.1%, n=1) [55], medical clinics (35.7%, n=5) [43, 44, 47, 51, 53, 56], participant homes (28.6%, n=4) [43, 45, 48, 52, 58], via internet or other web-based platforms (14.3%, n=2) [43, 49], church (7.1%, n=1) [44] and other community-based locations (28.6%, n=4) [42, 44, 47, 54]. Some or all of the settings where interventions occurred were not reported or unclear in a few cases (14.3%, n=2) [46, 57].

Content, Modality & Duration

Intervention content included nutrition and exercise programs or classes either as an individual or as a group (28.6%, n=4) [42, 44, 47, 57]; some targeted improving knowledge about healthy eating habits using dietary guidelines, and the delivery of informational materials/sessions about healthy eating habits in combination with physical activity (28.6%, n=4) [43, 45, 5052]. Other modalities included audio/video-recorded sessions with a focus on dietary assessment and setting goals for increasing physical activity (14.3%, n=2) [48, 53, 56]; exercise sessions only (14.3%, n=2) [54, 55]; a face-to-face interactive design (7.1%, n=1) [46]; and, digital health intervention design (7.1%, n=1) [51]. The average duration of an intervention was 23.5 weeks, with a range of 6 to 52 weeks (based on available data from 13/14 studies).

Outcomes

Several studies were designed to modify aspects of participant diet and physical activity in combination (35.7%, n=5) [44, 46, 51, 53, 57] and three studies examined diet, physical activity and weight (21.4%, n=3)[45, 49, 50, 52]. A number of studies also focused exclusively on physical activity-related outcomes (35.7%, n=5) [42, 43, 47, 48, 54]. No studies focused on diet alone.

Most of the studies reported an increase in knowledge and self-efficacy, leading to significant improvements in physical activity, weight management, and/or improved diet quality (64.3%, n=9) [42, 43, 47, 48, 5054, 56, 57]. A study (7.1%, n=1) [44] focused on behavior changes to reduce diabetes risk in cancer survivors through nutrition education and physical activity showed no statistically significant changes in body mass index but reported improved mean waist circumference in those completing a 12-week (vs. 4-week) program.

One study focused on improved physical functioning (e.g., decreased fatigue, increased muscle strength) and body composition as measured by the total amount of muscle and percent body fat (7.1%, n=1) [55]. This study reported similar improvements in upper and lower body strength for both survivors and partners, but only survivors reported an increase in moderate-vigorous intensity physical activity [55]. Another study focused on promoting a nutrient-rich, low-energy density diet; improving physical activity by encouraging exercise; and improved weight-related outcomes as measured by body mass index, overall weight, and waist circumference in overweight or obese women (7.1%, n=1) [45]. This study showed improvements in diet quality and decreased daily caloric intake that were associated with better weight-related outcomes for survivors, while diet quality was not significantly associated with any weight-related outcomes for family members [45]. Survivors in the Knobf study (2018) reported improvements in physical activity and nutrition and partners showed an increase in nutrition and significant changes in total healthy lifestyle [46].

Quality Assessment

Table 3 presents the quality assessment of 14 articles included in this review. Quality assessment scores ranged from 4 to 12 (of 12 possible points) with a mean score of 10.1. The majority of the studies scored 10 or greater (71.4%, n=10) [4345, 48, 49, 51, 52, 5456]. Across all studies, the lowest scoring area of quality assessment was use of a randomization method (50%, n=7) [43, 45, 48, 49, 52, 55, 56], followed by reporting of the intervention attrition rate (64.3%, n=9) [42, 4446, 48, 51, 52, 55, 56], and discussing the likelihood of study bias (78.6%, n=11) [4245, 48, 49, 52, 5457]. Clear and appropriate research questions, objectives, and/or hypotheses was a noted strength of all studies in this review.

DISCUSSION

This review summarized information on study design, sample characteristics, measures, intervention content and duration, quality assessment, and outcomes of lifestyle interventions for post-treatment cancer survivors and family members. Regular physical activity, maintaining a healthy weight, and consuming diets rich in fruits and vegetables have been associated with better physical functioning throughout the continuum of cancer care and improved quality of life for cancer survivors [8, 9]. Cancer is not usually experienced in isolation [60]; cancer survivors often deal with the challenges of cancer diagnosis and treatment alongside a family member [61]. Thus, lifestyle interventions centered within the family context can facilitate mutual engagement in health-promoting behaviors.

In the United States, cancers of the breast and prostate are the most prevalent among women and men, respectively [62]. In this review, five of the fourteen intervention studies (35.7%) focused on either breast cancer or prostate cancer (alone), and more than half of the included survivors of more than one type of cancer. Thus, the survivor populations included in this review reflect broader prevalence data. Very few studies provided information on the health/medical history of the family members included in the intervention, so it is unclear whether family members in the study resemble broader population trends in physical and mental health. Most studies reported improvements in physical activity, weight management, and/or improved diet quality. When reviewing studies, it was often not clear whether results differed based on survivor or family member role. Where reported, a few studies showed different outcomes for cancer survivors and family members (21.4%, n=3) [45, 46, 55]. More information about the medical history of family members, and similarities and differences in intervention outcomes for survivors and family members, could be useful for informing future interventions.

While the concept of family is often broadly defined, its operationalization in intervention research with adult cancer survivors remains narrow. The primary familial relationship observed in our review was the spouse/intimate partner relationship; other relationships such as parent/child and sibling relationships were represented to a lesser extent. Research shows that adult cancer survivors in marital or committed relationships may cope better with the challenges of a cancer diagnosis and treatment than their unmarried counterparts [60, 63]. These findings are often attributed to the support for managing cancer-related challenges provided within a spousal/intimate partner relationship. For example, a recent systematic review of couple-based intervention studies for couples coping with cancer found that interventions focusing on facilitating coping through communication yielded promising results [64].

Though few, studies in this review with non-spousal family members highlight how researchers have moved beyond spousal relationships when designing and implementing lifestyle interventions. Frameworks and models like the socioecological model and family health model recognize the family as health producers [65]. The influence of family on individual health outcomes is attributed to shared values, behaviors, routines, and decisions not exclusive to spouse/partner dyads [66, 67]. As this work continues, it will be helpful to determine how relationship type influences mechanisms of change (e.g., communication, type and availability of support) and how to best tailor intervention components to reflect the spousal and non-spousal relationship dynamics.

One rationale for family-based interventions is that close or intimate relationships provide support to help or facilitate control of behaviors and individual self-management [68]. Social support, a predictor of improved health outcomes [69], was commonly assessed across intervention studies by different measures specific to physical activity, dietary change, and cancer type (e.g., the Sallis Social Support and Exercise Survey). Of the five interventions in this review that included spouse/partner relationships (exclusively), two reported associations between partner support and physical activity [47, 48] and one reported associations between spouse/partner trust and physical activity and diet [53, 56]. Understanding the degree to which relationship functioning – beyond social support - may influence participation in interventions and impact the effectiveness is critical [70]. Characteristics of relationship functioning such as trust, happiness, cohesion, conflict, communication, or expressiveness were not consistently measured in the studies included in this review. Differences in relationship characteristics among families (e.g., communication or lack thereof, cohesion, etc.) may help explain inconsistencies in the results of family-based interventions. For example, poor marital satisfaction or marital adjustment among a couple is less likely to lead to collaborative or supportive behaviors to illness management [71]. Moving forward, interventions should consider targeting constructs that strengthen relationship quality and measure relationship quality-related constructs to identify if interventions have influenced these constructs and to evaluate the association between the constructs and the health outcome.

Several interventions in the review sought to support physical activity, nutrition and/or weight management with family members and other supporters identified as family caregivers [42, 5052, 57]. Cancer survivors and their family caregivers may experience increased depression, uncertainty, and anxiety [72]. There is increased awareness of the challenges associated with cancer caregiving, even after acute treatment ends. As often happens during treatment, cancer caregiver support for survivors after the completion of cancer treatment may be complicated by other competing priorities [73]. Several studies have indicated that the burdens associated with caregiving can contribute to employment-related problems, time-constraints, and financial pressures [74], all of which can influence caregivers’ ability to engage in lifestyle behaviors that support their health and well-being. Interventions that attend to the needs of survivors and those in caregiving roles have the potential to mitigate negative behavioral, psychological, and physiological effects that cancer/caregiving can have on this population [73].

Racial and ethnic disparities in cancer survivorship, specifically poorer outcomes among populations of color, are well documented [62]. Yet communities of color remain underrepresented in cancer interventions, and few studies incorporate culturally appropriate strategies to address cancer inequities [30, 75] or the concurrent health needs of family members [76]. In our review, where reported, half of the studies included predominantly White samples (50%, n=7). Only a few studies included predominantly non-White samples; these samples were primarily African American (14.3%, n=2), Hispanic/Latino (7.1%, n=1), or non-Hispanic/Latino, non-White (7.1%, n=1). Kreuter and colleagues [77] argue that programs using culturally appropriate strategies that are peripheral (e.g., package materials that appeal to the group), evidential (e.g., information, data, experiences specific to that group), linguistic (e.g., words commonly used by the specific group), constituent-involving (e.g., using experiences of a member of the target group through lay helpers or patient navigators), and sociocultural (e.g., concepts that are meaningful and reflect the knowledge of the group’s culture) can help address inequities in cancer care [77].

A few studies in our review documented how their program design attended to issues of cultural appropriateness. Conlon and colleagues [44] included cultural tailoring in the curriculum modules to address the psychosocial needs of minority survivors using informational, practical, supportive, and spiritual strategies. Knobf and colleagues [46] reported that cultural tailoring within their 6-week healthy lifestyle intervention focused information, support and addressing barriers to improved physical and emotional survivorship outcomes. This intervention included prayers at each weekly session (i.e., sociocultural strategy), presentations about breast cancer and women of color (i.e., informational strategy), and an African American exercise physiologist who lived in the local community to give information about physical activity and local resources (i.e., informational and constituent-involving strategy). While they did not explicitly evaluate these cultural strategies, Knobf et al. [46] suggested that these approaches likely contributed to improvements in the participants adopting healthy lifestyle behaviors. Other studies [42, 43] in our review mentioned individual-level tailoring of intervention components but did not describe any aspects of cultural tailoring. Moving forward, increased focus on the cultural appropriateness of interventions can help to ensure that interventions designed are relevant, appropriate, and applicable to the needs, contexts, and experiences of the target population, particularly populations of color [77, 78].

Limitations

Our search strategy was limited to articles published in the English language, so we may have overlooked non-English articles with potential findings relevant for more generalizable conclusions. The search was also limited to six databases (CINAHL, PubMed, PsycInfo, Web of Science, Scopus, and Embase), and it is possible that other relevant work could have been identified from other sources. Finally, our review focused on peer-reviewed journal articles to the exclusion of reports, white papers, or other methods of dissemination that programs – particularly those in non-academic settings – may use to share their findings.

Conclusion

Cancer is a significant life event for individuals who are diagnosed and their loved ones. Family members, often the primary support givers, may be experiencing their own health issues. A family-focused approach to cancer survivorship could improve key lifestyle behaviors such as physical activity, diet, and weight management associated with cancer and chronic disease for survivors and other members of their family system. The majority of studies reviewed included dyads (i.e., two family members) and did not extend to larger family systems. As a whole, studies show promise for improving lifestyle behaviors in the short-term; however, future interventions should aim to sustain behavior change through relevant individual and family-level processes. In addition, the majority of studies included White participants. If equity in cancer outcomes is to be achieved, more studies focused on non-White populations, many of whom are disproportionately burdened by most cancer, are needed. These studies would likely benefit from employing known strategies to enhance cultural appropriateness. Taken together, programs that target survivors and their family members can capitalize on existing social networks while promoting health and well-being for all involved.

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