Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors: a latent profile analysis

Shim, Eun Jung; Jeong, Donghee; Moon, Hyeong‐Gon; Noh, Dong Young; Jung, Sung Eun; Lee, Eun-Sook; Kim, Zisun; Youn, Hyun Jo; Cho, Jihyoung; Lee, Jung Eun

doi:10.1007/s11136-019-02330-6

Cited by 13 publications

(9 citation statements)

References 47 publications

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“…Cai et al [ 38 ] reported that three profiles of social relationships were identified in Chinese breast cancer patients undergoing chemotherapy and emphasized the significance of developing tailored interventions for individuals in the high-risk group. In addition, Shim et al [ 39 ] categorized breast cancer patients based on their depression symptoms using the LPA approach and suggested that targeted psychological interventions should be conducted based on the specifics of different classes. The results of the current study indicated three latent patterns of social constraints: class 1-the low social constraints group (51.9%), class 2-the moderate social constraints group (35.3%), and class 3-the high social constraints group (12.8%).…”

Section: Discussionmentioning

confidence: 99%

Profiles of social constraints and associated factors among breast cancer patients: a latent profile analysis

Cui

Wang

2022

BMC Psychiatry

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Background The present study aimed to identify profiles of social constraints among Chinese breast cancer patients and to explore the variables associated with these patterns. Methods The study recruited 133 Chinese breast cancer patients in Liaoning Province, China, between June 2021 and February 2022. The questionnaire package included the Social Constraints Scale (SCS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), and the Social Impact Scale (SIS). The methods of statistical analysis used included latent profile analysis (LPA) and multinomial logistic regression. Results Three latent patterns of social constraints were found: class 1-the low social constraints group (51.9%), class 2-the moderate social constraints group (35.3%), and class 3-the high social constraints group (12.8%). Patients with high social support were more likely to report a low level of social constraint, while patients with a greater fear of progression were more likely to report a moderate or high level of social constraints. Significant differences existed among the latent classes identified by reference to social constraint in terms of education. Conclusion These results suggest that breast cancer patients’ perceptions of social constraints vary and exhibit individual differences. Health care providers should take into account patients’ fear of progression as well as their social support when developing interventions for patients with a high level of social constraints.

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Section: Discussionmentioning

confidence: 99%

Profiles of social constraints and associated factors among breast cancer patients: a latent profile analysis

Cui

Wang

2022

BMC Psychiatry

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“…In recent years, a growing number of studies employed LPA to explore the profiles of depressive symptoms in clinical [ 11 , 12 ] and non-clinical samples [ 13 , 14 ]. For instance, Saracino et al (2020) identified a four-class solution among patients with cancer, which were termed as the “no/low symptoms” group, “mild depressive symptoms” group, “patterned response” group, and “moderate depressive symptoms” group [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Profiles of depressive symptoms and influential factors among people living with HIV in China

et al. 2023

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Background Depressive symptoms are highly prevalent among people living with HIV (PLWH). We leveraged Latent Profile Analysis (LPA) to identify profiles of depressive symptoms among PLWHs. We also investigated differences in psychological factors of interest, demographic characteristics, and HIV-related factors across patients’ profiles. Methods A cross-sectional study was conducted at one hospital and two designated prison facilities in Hunan province, China. A total sample of 533 PLWHs (320 recruited from the hospital, 213 recruited from prisons) completed the survey. Depressive symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ-9). Family function, resilience, childhood trauma, demographic characteristics, and HIV-related factors were also evaluated. We conducted LPA and multinomial logistic regression analyses to: 1) identify distinct profiles for depressive symptoms; 2) identify demographic characteristics, and HIV-related, and psychological factors predicting PLWHs’ likelihood to express a specific profile. Results We identified three distinct profiles of depressive symptoms among PLWHs: severe symptoms (11.8%), moderate symptoms (40.5%), and low/no symptoms (47.7%). Moderate/ severe family dysfunction, low resilience, experiencing emotional abuse and neglect were more likely to fall in the “severe symptoms” rather than the “low/no symptoms” profile. In addition, severe family dysfunction, low resilience, and experiencing emotional neglect indicated a higher likelihood of being classified in the “moderate symptoms” profile, compared to the “low/no symptoms” profile. Conclusion Identifying profiles of depressive symptoms among PLWHs using the PHQ-9 items allows for understanding of the distinct paths of development of depressive symptoms and for developing tailored prevention and intervention programs for PLWHs.

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“…), lower self-esteem and self-efficacy, all leading to alterations in the emotional well-being. Sociodemographic factors could also be responsible, including age [9][10][11], marital status [12], educational level and financial income [13]: young single women with lower educational level and lower financial support tend to exhibit higher levels of anxiety and depression among breast cancer patients [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Clinical and genetic factors associated with anxiety and depression in breast cancer patients: a cross-sectional study

et al. 2021

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Background Despite the progress in assessment and treatment of breast cancer, being diagnosed with it or receiving chemotherapy treatment is still conceived as a traumatic experience. Women develop negative thoughts about life and death with detrimental effects on their daily physical functioning/activities, emotional state and overall quality of life. The aim of our study was to evaluate the level of anxiety and depression among breast cancer patients receiving chemotherapy and explore the correlation between these psychological disorders, clinical, sociodemographic and genetic factors. Methods A cross-sectional study was conducted among breast cancer patients undergoing intravenous chemotherapy at the oncology outpatient unit of Hôtel-Dieu de France hospital (November 2017–June 2019; Ethical approval number: CEHDF1016). All patients gave their written informed consent and completed several validated scales, including the Hospital Anxiety and Depression scale (HADS) for the assessment of anxiety and depression. Sleep quality, insomnia, cognitive function, fatigue and pain were also evaluated. Genotyping for certain gene polymorphisms (CLOCK, PER2, CRY2, OPRM1, ABCB1, COMT, DRD2) was performed using the Lightcycler® (Roche). Results A total of 112 women was included. The prevalence of depression was 43.4%, and 56.2% of the patients reported anxiety (based on the HADS classification). Multivariable analysis showed that higher cognitive scores and taking fosaprepitant were significantly associated with lower depression and anxiety scores. Moreover, being married compared to single was also associated with lower depression scores, whereas higher PSQI scores (worse sleep quality) and having the PER2 AA variant genotype compared to GG were significantly associated with higher depression scores. Finally, reporting a more severe insomnia and having the COMT Met/Met genotype were significantly associated with a higher anxiety score. Conclusions Our study demonstrated a strong relationship between depression scores and cognitive impairment, sleep quality, marital status, fosaprepitant intake, and PER2 polymorphism, while anxiety scores were correlated to cognitive impairment, insomnia severity, fosaprepitant intake, and COMT polymorphism. The association with PER polymorphism was not previously reported. Identification of genetic and clinical risk factors for anxiety and depression would help clinicians implement an individualized management therapy aiming at preventing and alleviating the burden of these symptoms in breast cancer patients, hence improving their overall quality of life.

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Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors: a latent profile analysis

Cited by 13 publications

References 47 publications

Profiles of social constraints and associated factors among breast cancer patients: a latent profile analysis

Profiles of social constraints and associated factors among breast cancer patients: a latent profile analysis

Profiles of depressive symptoms and influential factors among people living with HIV in China

Clinical and genetic factors associated with anxiety and depression in breast cancer patients: a cross-sectional study

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