Assessing psychological symptom networks related to HIV-positive duration among people living with HIV: a network analysis

Network evolution of core symptoms after lung cancer thoracoscopic surgery:A dynamic network analysis

OBJECTIVES

To investigate relationships between various symptoms occurring 1-2 and 5-6 days following days after thoracoscopic surgery, to identify core symptoms, and to monitor changes in core symptoms over time following lung cancer thoracoscopic surgery.

METHODS

We evaluated symptoms using the Anderson Symptom Scale (Chinese version) and the Lung Cancer-Specific Symptoms Template in 214 lung cancer patients hospitalized in the Department of Thoracic Surgery of a provincial hospital in Jiangsu Province from March 2023 to September 2023. Data was collected at 1-2 days and 5-6 days postoperatively. Symptom networks were constructed for each time point, and centrality indicators were analyzed to identify core symptoms while controlling for influencing factors.

RESULTS

According to the network analysis, fatigue (rs = 26.00、rc = 0.05、rb = 1.02) had the highest strength, closeness, and betweenness in the symptom network 1-2 days after lung cancer surgery. At 5-6 days after surgery, shortness of breath (rs = 27.00) emerged as the symptom with the highest strength, fatigue (rc = 0.04) had the highest closeness, and cough (rb = 1.08) ranked highest in betweenness within the symptom network.

CONCLUSION

Fatigue stands out as the most core symptom in the network 1-2 days after lung cancer surgery. Shortness of breath, fatigue and cough are the most core symptoms in the symptom network 5-6 days after surgery. Therefore, clinical staff can improve the postoperative symptom experience of lung cancer patients by developing symptom management programmes tailored to these core symptoms.

Core and bridge symptoms of demoralization in Chinese female cancer patients: a network analysis

Objective

In this study, we explore the core and bridge symptoms of demoralization in female cancer patients in China, and provide a basis for precise psychological intervention among female cancer patients.

Methods

This study used a cross-sectional survey. Participants were recruited from three third-class hospitals in Jiangsu Province from June 2022 to June 2023 using the convenience sampling method. The severity of each symptom of demoralization was investigated in female cancer patients using the Demoralization Scale (DS). Network analysis was performed using the R language to identify core and bridge symptoms in the network and further explore some characteristic edge connections in the network.

Results

The network structure model of demoralization had strong accuracy and stability. In the network, the symptoms with the highest strength centrality were "Discouragement" (C3, strength=2.19), "No self-worth" (A3, strength=1.21), "Don't want to live" (A5, strength=1.20), "Hopeless" (D4, strength=0.81), and "Vulnerability" (B3, strength=0.74), respectively. The bridge strength analysis identified "Hopeless" (D4, bridge strength=0.92), "Discouragement" (C3, bridge strength=0.85), "No self-worth" (A3, bridge strength=0.75), "Poor spirits" (E2, bridge strength=0.71), and "Vulnerability" (B3, bridge strength=0.69) as the bridge symptoms. The strongest edge connections of all dimensions were "No self-worth" and "Worthless" (A3-E6, edge weighting=0.27), "Poor spirits" and "Loss of emotional control" (E2-D1, edge weighting=0.22), "Discouragement" and "Vulnerability" (C3-B3, edge weighting=0.14), and "Hopeless" and "No meaning of survival" (D4-A4, edge weighting=0.12).

Conclusion

"Discouragement (C3)", "No self-worth (A3)", "Hopeless (D4)", and "Vulnerability (B3)" are both core symptoms and bridge symptoms. These symptoms can not only trigger a patient's demoralization but also stimulate more severe symptom clusters through interactions. The early recognition of and intervention regarding these symptoms could be important for the prevention and treatment of demoralization among female cancer patients.

Longitudinal relationships in the psychopathology of depressive symptoms in middle-aged and older adults in China

OBJECTIVES

To develop symptom networks and examine the longitudinal relationships of depressive symptoms among middle-aged and older adults in China.

METHOD

This study used three-wave data from the China Health and Retirement Longitudinal Study (2013 (T1), 2015 (T2), and 2018 (T3)). Depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D). A multilevel vector autoregression model (VAR) was used to identify ten depressive symptoms dynamically interacting with each other over time.

RESULTS

A total of 3,558 participants were included in the final analysis. The strongest direct effects were 'D10: felt fearful' -> 'D6: felt everything I did was an effort' (β = 0.14). 'D10: felt fearful' reported the largest value of out-predictability (r = 0.064) and out-strength (r = 0.635). 'D3: felt depressed' reported the largest value of in-predictability (r = 0.077) and in-strength (r = 0.545). Substantial heterogeneity in the network may stem from an individual's sex and place of residence.

CONCLUSIONS

'Felt fearful' was the strongest predictor compared to the other nine depressive symptoms based on node centrality. Our study suggests that, after understanding the causes of fear, strategies to reduce fear should be incorporated into multimodal interventions for middle-aged and older adults with depressive symptoms.

Development and Validation of a New Comprehensive Assessment Scale of HIV-Related Psychological Distress in China: A Methodological Study

ABSTRACT

Instruments evaluating HIV-related psychological distress (HRPD) in people living with HIV may lack sensitivity to capture patients' psychological burden. We developed a comprehensive scale measuring HRPD and evaluated its psychometric properties. A mixed-method study was conducted from July 2021 to April 2022; it involved a literature review, semistructured interviews (n = 15), three rounds of panel discussions, two rounds of Delphi studies (n = 20), a pilot test (n = 20) to generate new scale items, and a cross-sectional survey (n = 659) to evaluate the psychometric properties of the HIV-related psychological distress scale. The scale contains 22 items across 4 subscales (i.e., disease-related distress, treatment adherence distress, identity distress, and disclosure distress). The confirmatory factor analysis revealed high goodness of fit (χ2/df = 2.412, comparative fit index = 0.916, incremental fit index = 0.917, and Tucker‒Lewis index = 0.902), showing that the HIV-related psychological distress scale is a reliable (Cronbach's α = 0.871 overall) and valid scale for evaluating HRPD in China and can be used to dynamically evaluate and monitor HRPD levels during patient follow-up.

Identification of age differences in cancer-related symptoms in women undergoing chemotherapy for breast cancer in China

BACKGROUND

Both contextual and cancer-related factors could be identified as causes of the interindividual variability observed for symptoms experienced during breast cancer treatment with chemotherapy. Understanding age differences and the predictors of latent class memberships for symptom heterogeneity could contribute to personalized interventions. This study aimed to identify the role of age differences on cancer-related symptoms in women undergoing chemotherapy for breast cancer in China.

METHODS

A cross‑sectional survey was conducted among patients with breast cancer in three tertiary hospitals in central China between August 2020 to December 2021. The outcomes of this study included sociodemographic and clinical characteristics, Patient-Reported Outcomes Measurement Information System (PROMIS)-57 and PROMIS-cognitive function short form scores.

RESULTS

A total of 761 patients were included, with a mean age of 48.5 (SD = 11.8). Similar scores were observed across age groups for all symptoms except for fatigue and sleep disturbance domains. The most central symptoms varied among each group, and were fatigue, depression, and pain interference for the young-aged, middle-aged, and elderly-aged groups, respectively. In the young-aged group, patients without health insurance (OR = 0.30, P = 0.048) and in the fourth round of chemotherapy or above (OR = 0.33, P = 0.005) were more likely to belong to low symptom classes. In the middle-aged group, patients in menopause (OR = 3.58, P = 0.001) were more likely to belong to high symptom classes. In the elderly-aged group, patients with complications (OR = 7.40, P = 0.003) tended to belong to the high anxiety, depression, and pain interference classes.

CONCLUSIONS

Findings from this study indicated that there is age-specific heterogeneity of symptoms present for Chinese women being treated for breast cancer with chemotherapy. Tailored intervention should consider the impact of age to reduce patients' symptom burdens.

Cancer-related symptoms among young and middle-aged women undergoing chemotherapy for breast cancer: Application of latent class analysis and network analysis

PURPOSE

To identify subgroups and symptom networks of cancer-related symptoms for women under 60 years who are undergoing chemotherapy for breast cancer.

METHODS

A cross-sectional survey in Mainland China was conducted between August 2020 and November 2021. Participants completed questionnaires that collected demographic and clinical characteristics and featured the PROMIS-57 and the PROMIS-Cognitive Function Short Form.

RESULTS

A total of 1033 participants were included in the analysis, and three-class model was identified: "severe symptom group" (17.6%; Class 1), "moderately severe anxiety, depression, and pain-interference group" (38.0%; Class 2), and "mild symptom group" (44.4%; Class 3). Patients who were in menopause (OR = 3.05, P < .001), undergoing a combination of medical treatments (OR = 2.39, P = .003), and who had experienced complications (OR = 1.86, P = .009) were more likely to belong to Class 1. However, having two or more children increased the likelihood of belonging to Class 2. Additionally, network analysis showed that severe fatigue level was the core symptom among the full sample. As for Class 1, feeling helpless and severe fatigue level were the core symptoms. Regarding Class 2, the impact of pain interfere on the ability to participate in social activities and feeling hopeless were found to be the targeted symptoms for intervention.

CONCLUSION

Menopause, receiving a combination of medical treatments, and experiencing complications characterize the group with the most symptom disturbance. Moreover, different interventions should be performed for core symptoms in patients with varied symptom disturbances.

Unraveling the central and bridge psychological symptoms of people living with HIV: A network analysis

Background

People living with HIV (PLWH) experience multiple psychological symptoms. Few studies have provided information on central and bridge psychological symptoms among PLWH. This information has implications for improving the efficiency and efficacy of psychological interventions. Our study aimed to identify the central and bridge psychological symptoms of PLWH and to explore the interconnectedness among symptoms and clusters.

Methods

Our study used data from the HIV-related Symptoms Monitoring Survey, a multisite, cross-sectional study conducted during 2017-2021. We used R to visualize the network of 16 symptoms and analyzed the centrality and predictability indices of the network. We further analyzed the bridge symptoms among the three symptom clusters.

Results

A total of 3,985 participants were included in the analysis. The results suggested that sadness had the highest strength (r S = 9.69) and predictability (70.7%) compared to other symptoms. Based on the values of bridge strength, feeling unsafe (r bs = 0.94), uncontrollable worry (r bs = 0.82), and self-abasement (r bs = 0.81) were identified as bridge symptoms. We also found a strong correlation between sadness and self-abasement (r = 0.753) and self-loathing and self-blame (r = 0.744).

Conclusion

We found that sadness was the central psychological symptom of PLWH, indicating that sadness was the center of the psychological symptom network from a mechanistic perspective and could be a target for intervention. Deactivating bridge symptoms, including "feeling unsafe," "self-abasement," and "uncontrollable worry," could be more effective in preventing symptom activation from spreading (e.g., one symptom activating another).

Exploring core mental health symptoms among persons living with HIV: A network analysis

CONTEXT

Persons living with HIV (PLWH) commonly experience mental health symptoms. However, little is known about the core mental health symptoms and their relationships.

OBJECTIVE

This study aimed to evaluate the prevalence of various mental health symptoms and to explore their relationships in symptom networks among PLWH.

METHODS

From April to July 2022, we recruited 518 participants through convenience sampling in Beijing, China, for this cross-sectional study. Forty mental health symptoms, including six dimensions (somatization symptoms, negative affect, cognitive function, interpersonal communication, cognitive processes, and social adaptation), were assessed through paper-based or online questionnaires. Network analysis was performed in Python 3.6.0 to explore the core mental health symptoms and describe the relationships among symptoms and clusters.

RESULTS

Of the 40 mental health symptoms, the most common symptoms were fatigue (71.2%), trouble remembering things (65.6%), and uncertainty about the future (64.0%). In the single symptom network, sadness was the most central symptom across the three centrality indices (r_S = 0.59, r_C = 0.61, r_B = 0.06), followed by feeling discouraged about the future (r_S = 0.51, r_C = 0.57, r_B = 0.04) and feelings of worthlessness (r_S = 0.54, r_C = 0.53, r_B = 0.05). In the symptom cluster network, negative affect was the most central symptom cluster across the three centrality indices (r_S = 1, r_C = 1, r_B = 0.43).

CONCLUSION

Our study provides a new perspective on the role of each mental health symptom among PLWH. To alleviate the mental health symptoms of PLWH to the greatest extent possible and comprehensively improve their mental health, we suggest that psychological professionals pay more attention to pessimistic mood and cognitive processes in PLWH. Interventions that apply positive psychology skills and cognitive behavioral therapy may be necessary components for the mental health care of PLWH.

Association between HIV duration and symptom distress among middle-aged and elderly people with HIV-infected in China: a cross-sectional study

Background

Debate has persisted regarding whether PLWH with longer HIV durations have lower levels of prevalence and severity of symptoms compared with their newly diagnosed counterparts. Whether and how the HIV duration impact the symptom distress among middle-aged and older PLWH has not been explored clearly.

Methods

The patients with HIV-infected aged more than 40 years old were included from seven designated medical institutions of seven regions in China. Outcome was the score of symptom distress. We used the multiple regression model to calculate adjusted Coefficient of Regression (β) with 95% CI in this study.

Results

Among 210 participants (mean age 50.8 years; 71.0% male; 68.1% at asymptomatic stage) in the study, the median number of symptoms was 5. Of all symptoms reported, the most distressed symptoms were sleep disturbance (33.33%), followed by memory loss (31.90%), fatigue (26.67%), slow reactions (22.86%), and vision blur (21.90%). All participants were divided into four groups according to HIV duration, and the median of total score of symptom ditress among all participants was 0.1(0.0,0.9). Difference of total scores and clusters’ scores of symptom distress among four HIV duration groups were statistically significant. 51 participants with 6–10 years HIV duration were more likely to be higher level of education, at asymptomatic stage and have higher CD4 + T cell count. After adjustment for gender, age, race, education, marital status, employment, family income, region, stage of disease and CD4 + T cell count, the score of symptom distress among participants with 6–10 years HIV duration had was higher with the extension of HIV duration. Specially in physical symptoms and psychological symptoms,participants with 6–10 years HIV duration reported the persisting worse burdensome.

Conclusions

HIV duration with 6–10 yearsmay be a key period that the medical team needs to pay special attention to among middle-aged and elderly PLWH. There is a need to provide medical and psychosocial services targeting middle-aged and elderly PLWH according to their changing symptom distress.

Trial registration

Clinicaltrials.gov: ChiCTR2100046225. Registered 11 May 2021.

Identifying subtypes of HIV/AIDS-related symptoms in China using latent profile analysis and symptom networks

The identification of subgroups of people living with HIV in China based on the severity of symptom clusters and individual symptoms is crucial to determine group-specific symptom management strategies. Participants reported 27 highly prevalent HIV/AIDS-related symptoms. Latent profile analysis based on symptom severity was used to identify person-centered subtypes of HIV/AIDS-related symptoms. Symptom networks were compared among subgroups identified by latent profile analysis. A total of 2927 eligible people living with HIV (PWH) were included in the analysis. Five profiles were identified: "Profile 1: all low symptom severity" (n₂ = 2094, 71.54%), "Profile 2: medium symptom severity with syndemic conditions" (n₃ = 109, 3.72%), "Profile 3: medium symptom severity with low functional status" (n₁ = 165, 5.64%), "Profile 4: medium symptom severity in transitional period" (n₄ = 448, 15.31%), and "Profile 5: all high symptom severity" (n₅ = 111, 3.79%). Except for Profile 1 and Profile 5, the symptom severity was similar among the other three profiles. Profiles 1 (2.09 ± 0.52) and 4 (2.44 ± 0.66) had the smallest ∑s values, and Profiles 2 (4.38 ± 1.40) and 5 (4.39 ± 1.22) had the largest ∑s values. Our study demonstrates the need for health care professionals to provide PWH with group-specific symptom management interventions based on five profiles to improve their physical and psychological well-being. Future studies should be conducted in different contexts using different symptom checklists to further validate our results.

Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis

BACKGROUND

Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have explored the symptom networks of multidimensional symptom experiences in cancer survivors. The objectives of this study were to generate symptom networks of multidimensional symptom experiences in cancer survivors and explore the centrality indices and density in these symptom networks METHODS: Data from 1065 cancer survivors were obtained from the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory was used to assess the prevalence and severity of 13 cancer-related symptoms. We constructed contemporaneous networks with all 13 symptoms after controlling for covariates.

RESULTS

Distress (r_s  = 9.18, r_c  = 0.06), sadness (r_s  = 9.05, r_c  = 0.06), and lack of appetite (r_s  = 9.04, r_c  = 0.06) had the largest values for strength and closeness. The density of the "less than 5 years" network was significantly different from that of the "5-10 years" and "over 10 years" networks (p < 0.001). We found that while fatigue was the most severe symptom in cancer survivorship, the centrality of fatigue was lower than that of the majority of other symptoms.

CONCLUSION

Our study demonstrates the need for the assessment of centrality indices and network density as an essential component of cancer care, especially for survivors with <5 years of survivorship. Future studies are warranted to develop dynamic symptom networks and trajectories of centrality indices in longitudinal data to explore causality among symptoms and markers of interventions.