Health Behavior and Associated Factors in Young Adult Cancer Patients

The relationship between health behaviors and quality of life: the mediating roles of activities of daily living and psychological distress

Objective

The aim of this study is to examine the role of activities of daily living performance (ADLs) and psychological distress in mediating the process by which health behaviors affect QOL.

Methods

A non-probabilistic study was conducted among 1,065 older adult people older than 60 years. Participants were assessed using the Barthel Index, Functional Activities Questionnaire (FAQ), Kessler Psychological Distress Scale (K10), Australian Active Survey, and EQ-VAS score. The SPSS22.0 software was used to analyze the differences in QOL scores among older adults with different demographic characteristics. Pearson correlation analysis was used to analyze the correlation between health behaviors, psychological distress, ADLs, and QOL. Amos23.0 software was used to construct structural equation model (SEM) to analyze the path of health behavior affecting QOL and the mediating role of BADLs, IADLs and psychological distress.

Results

(1) The direct effect of health behaviors on QOL was not significant in the model; (2) ADLs had multiple mediating effects on the relationship between health behaviors and QOL, and the incidence of ADL limitation was negatively correlated with the reported QOL in the older adult; (3) Psychological distress had a significant mediating effect on the relationship between health behaviors and QOL.

Conclusion

The results of this study elucidated the mechanisms of the correlation between health behaviors and QOL, and added to the existing literature. In addition, these mediating factors and indirect pathways have been identified as targets for intervention to improve the QOL of older adult individuals, which is important for achieving healthy aging.

The Emotional Impact of a Cancer Diagnosis: A Qualitative Study of Adolescent and Young Adult Experience

The biographical disruption that occurs in adolescents and young adults following a cancer diagnosis can affect various important psychosocial domains including relationships with family and friends, sexual development, vocational and educational trajectories, and physical and emotional wellbeing. While there is evidence of the physical impact of cancer during this period, less is known about the impact on emotional wellbeing and especially on the barriers for young people accessing help and support. We aimed to obtain a more in-depth understanding of young people's experiences of their diagnosis, treatment, psychological impact, and range of resources they could or wanted to access for their mental health. We conducted an in-depth qualitative study using semi-structured interviews with 43 young people who had developed cancer aged 16 to 39 years and were either within 6 months of diagnosis or 3-5 years after treatment had ended. Framework analysis identified three themes: the emotional impact of cancer (expressed through anxiety, anger, and fear of recurrence); personal barriers to support through avoidance; and support to improve mental health through mental health services or adolescent and young adult treatment teams. We showed the barriers young people have to access care, particularly participant avoidance of support. Interrupting this process to better support young people and provide them with flexible, adaptable, consistent, long-term psychological support has the potential to improve their quality of life and wellbeing.

Adherence to the World Cancer Research Fund/American Institute for Cancer Research recommendations for cancer prevention in adolescent and young adult (AYA) cancer survivors: results from the SURVAYA study

PURPOSE

For adolescent and young adult (AYA) cancer survivors with a good prognosis, having a healthy lifestyle prevents morbidity and mortality after treatment. The aim of this study was to investigate the prevalence of (un)healthy lifestyle behaviors and related determinants in AYA cancer survivors.

METHODS

A population-based, cross-sectional study was performed among long-term (5-20 years) AYA cancer survivors (18-39 years old at diagnosis) registered within the Netherlands Cancer Registry. Self-reported questionnaires data about health behaviors were used to calculate the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) adherence score. Associations between the score and clinical/sociodemographic determinants of (un)healthy behaviors were investigated using logistic regression models.

RESULTS

The mean WCRF/AICR score was low to moderate, 3.8 ± 1.2 (0.5-7.0) (n = 3668). Sixty-one percent adhered to "limit the consumption of sugar sweetened drinks," 28% to "be a healthy weight," 25% to "fruit and vegetable consumption," and 31% to "limit alcohol consumption." Moderate and high adherence were associated with being a woman (ORmoderate = 1.46, 95% CI = 1.14-1.85, and ORhigh = 1.87, 95% CI = 1.46-2.4) and highly educated (ORmoderate = 1.54, 95% CI = 1.30-1.83, and ORhigh = 1.87, 95% CI = 1.46-2.4). Low adherence was associated with smoking (ORmoderate = 0.68, 95% CI = 0.50-0.92, and ORhigh = 0.30, 95% CI = 0.21-0.44) and diagnosis of germ cell tumor (ORmoderate = 0.58, 95% CI = 0.39-0.86, and ORhigh = 0.45, 95% CI = 0.30-0.69).

CONCLUSIONS

Adherence to the 2018 WCRF/AICR lifestyle recommendations was low to moderate, especially regarding body weight, fruit, vegetables, and alcohol consumption. Men, current smokers, lower-educated participants, and/or those diagnosed with germ cell tumors were less likely to have a healthy lifestyle.

IMPLICATIONS FOR CANCER SURVIVORS

Health-promotion programs (e.g., age-specific tools) are needed, focusing on high-risk groups.

Reported Mental Health, Diet, and Physical Activity in Young Adult Cancer Survivors

Young adult (YA) cancer survivors are at increased risk for chronic diseases and face age-dependent stressors that may hinder their ability to maintain healthy lifestyle behaviors. This study examined associations between reported mental health, eating beliefs, and health behaviors in YA cancer survivors. YA cancer survivors aged 18-39 years (n = 225) completed a self-administered REDCap^® survey, including the Perceived Stress Scale 10, PROMIS^® Anxiety and Depression, Eating Beliefs Questionnaire, National Health and Nutrition Examination Survey Dietary Screener Questionnaire, Godin-Shephard Leisure-Time Physical Activity Questionnaire, and demographic and diagnosis-related questions. Descriptive statistics, bivariate analyses, and multiple linear regression were performed. Participants were mean 31.3 years old and 3.7 years post-treatment; 77.3% were women. Most participants reported White (78%) or Black or African American (11.2%) race and non-Hispanic ethnicity (84%). Adjusting for covariates, perceived stress, anxiety, and depression were associated with increased added sugar intake (p < 0.001) and eating beliefs (p < 0.001). Perceived stress and depression were associated with reduced vegetable intake (p < 0.05). There were no associations with fruit intake or physical activity in the adjusted models. Health behavior interventions for this population may address psychosocial needs by including a stress management or mind-body component. Further research including direct measures of health behaviors is warranted.

Effectiveness of mHealth diet interventions in cancer survivors: A systematic review and meta-analysis of randomized controlled trials

Objective

To evaluate the effects of mobile health (mHealth) diet interventions on cancer survivors' diet intake, weight change, waist circumference, hip circumference, and quality of life (QoL).

Methods

The PubMed, Embase, Web of Science, Cochrane Library, Scopus, ProQuest, China National Knowledge Infrastructure, Wanfang, and SinoMed databases were searched from their inception to September 25, 2022. Randomized controlled trials (RCTs) on the effects of mHealth diet interventions in cancer survivors were identified. Two researchers independently selected the included studies and appraised their quality. The methodological quality of the included studies was assessed using the Revised Cochrane risk-of-bias tool for RCTs (RoB2).

Results

A total of 15 RCTs involving 2363 cancer survivors were included. MHealth diet interventions significantly improved fruit and vegetable intake (standardized mean difference [SMD] ​= ​0.19, 95% confidence interval [CI] [0.05, 0.33], P ​< ​0.01), and QoL (SMD ​= ​0.13, 95% CI [0.01, 0.26], P ​= ​0.04) and reduced fat intake (SMD ​= ​-0.22, 95% CI [-0.34, -0.11], P ​< ​0.01), weight (SMD ​= ​-0.35, 95% CI [-0.48, -0.22], P ​< ​0.01), waist circumference (MD ​= ​-1.43, 95% CI [-2.33, -0.53], P ​< ​0.01), and hip circumference (MD ​= ​-3.54, 95% CI [-4.88, -2.19], P < 0.01) in cancer survivors. No significant differences were observed in energy intake (P ​= ​0.46) or whole grain intake (P ​= ​0.14).

Conclusions

MHealth diet interventions may be an effective strategy for cancer survivors. Large-scale RCTs with rigorous study designs are needed to examine the effect of diet intervention delivered via mHealth.