Keywords
Hypertension, Depression, Mental Health, Health Surveys, Peru
Hypertension, Depression, Mental Health, Health Surveys, Peru
Diagnoses of arterial hypertension (HTA) among other chronic non-communicable diseases are common1. It necessarily requires a change of lifestyle that favors the adherence to pharmacological and psychological treatments, to reduce the development of cardiovascular diseases or psychological problems which complicates the patient’s health condition. An international study based on various surveys and reviews from 200 countries indicated that HTA cases worldwide have increased by 90% over the last four decades, with issues mostly identified in low- and middle-income countries2. In Peru, the prevalence of HTA has increased in recent years: 2016 (8.6%), 2017 (8.7%), 2018 (9.5%) and 2019 (10.2%)3. This increase is due to a rise in the population of older people and various lifestyle factors (such as food, minimal physical activity, alcohol consumption, among others)3.
There is also evidence that patients with HTA have a higher incidence of emotional disorders, mainly depressive symptomatology (anxiety or stress), which interferes with their clinical treatment, leading to poor prognosis (not following the doctor’s instructions regarding medicines, minimal personal care) and preventing the acquisition of desirable behaviors to improve their quality of life4. A recent study in the Peruvian population indicated that depressive symptoms are most likely to occur in the first year of diagnosis of hypertension5. This reinforces the importance of considering evaluation by mental health professionals in improving primary care in persons diagnosed with HTA in Peru.
Several studies have indicated that clinical interventions should primarily focus on depressive in patients with HTA4,6. Patients diagnose with HTA normally experience negative emotions due to the fact that they have to consume the drugs prescribed for treatment for the rest of their lives or for a very long period, these emotions are more powerful in situations where their condition is severe, and may generate feelings of loss of control or fear of failure, thus making it more likely that those with HTA condition can develop some emotional disturbances7. These emotions are also related to the economic expenses involved in treatment (especially in low and middle-income countries) and the decrease in social interaction with friends or family1. Ignoring negative emotions may result in physical disorders. These are likely to decrease adherence to treatments where psychological support is needed, especially the ones associated with risky behaviors such as alcohol consumption4,8.
Therefore, the research aimed to explore the network dynamics of depressive symptomatology in Peruvian adults with arterial hypertension from a network analysis approach, which allows a broad understanding of the interactions and the bridges of connection between the depressive symptoms and the study population.
A secondary cross-sectional study was conducted based on data from ENDES 2019, which is a national representative survey that collects information on chronic non-communicable diseases and gives access to diagnostic and treatment services in Peru. ENDES design includes a two-stage random sampling technique, differentiated for rural and urban areas. In rural areas, the primary sampling units were groups of 500–2000 individuals and the secondary sampling units were the households within each of these groups. On the other hand, in urban areas, the sampling units consisted of blocks or groups of blocks with more than 2,000 individuals and an average of 140 households, and the secondary sampling units were the same as in rural settings from 36,760 sampled households, 34971 persons aged 15 and older were surveyed with the Health questionnaire. Details of data sampling, processing and collection are contained in the ENDES technical report produced by the National Institute of Statistics and Data Processing (INEI).
Our sample included men and women over the age of 17 diagnosed with HTA. The diagnostic criteria for HTA were those with systolic blood pressure greater than and/or equal to 140 mmHg and/or a diastolic blood pressure greater than and/or equal to 90 mmHg9, and had completed the Patient Health Questionnaire (PHQ-9)10. Exclusion criteria were those who met the diagnostic criteria for hypertension, or did not report any blood pressure measurements, or who omitted any PHQ-9 questions. This allows evaluation of each of the nine DSM-IV depression criteria. PHQ-9 has four response options (0 = nothing at all, 1 = several days, 2 = more than half of days, and 3 = almost every day) and assesses the presence of depressive symptomatology in the last two weeks, the overall response score is in the range of 0 to 27.
A total of 2915 participants were included in this study, of whom 1106 (37.94%) were male, and 1809 (63.06%) were female. The mean age was 57.9 years (standard deviation: 16.9), with 1456 (49.88%) being older adults (55 years old and over). Of these, 1144 (39.24%) had completed primary education, 844 (28.95%) secondary, 637 (21.75%) higher and 290 (9.94%) did not answer. Regarding the participants native language, 2106 (72.24%) indicated Spanish, 688 (23.6%) Quechua and 121 (4.16%) a different native language.
For the analysis of the data, the graph package version 1.6.511 was used in the statistical software R version 4.0.3, which allows estimation of a Gaussian chart model (GGM) of a regularized partial correlation network to model the interaction between the components of PHQ-9 as autonomous entities, which are represented as circles, called “nodes”. Nodes are connected by lines, called “borders.” Borders in GGM can be understood as conditional dependency relationships between elements. If two items are connected to the resulting network, they are dependent after all other items are adjusted. This analysis presents statistical coefficients of effect size (≤ 0,1 = small; > 0,1 to < 0,5 = moderate; ≥ 0,5 = large) to determine network connections. The precision of the edge weights was estimated to provide greater stability to the results, with a precision of 95% of the confidence intervals through Bootstrapping of 5000 samples around each edge in the network10. Also considered were the most commonly used centrality indices in psychological networks: force, proximity, intermediation12.
In Table 1, the mean scores for each item of the PHQ-9 are shown13. This shows that people with arterial hypertension have a higher level of “Depressed mood”. The item also reports that there is a more significant measure of force in terms of other depressive symptoms. Another essential item on the web was Tired or little energy. The elements of lower centrality were “Moving/restless” and “Appetite change”.
Figure 1 shows the network chart of PHQ-9 in Peruvian adults with arterial hypertension, where most of the elements are positively associated with a total of 32 possible edges, in which the highest magnitude associations are found with “Moving/ restless” (PH8) and “Suicidal thoughts” (PH9). Also highlighted is the relationships between “Moving/ restless” (PH8) “Interest loss” (PH1) and “Depressed mood” (PH2), and the connection of “Feelings of worthlessness” (PH6) and “Trouble concentrating” (PH7). Other measures of centrality have highlighted greater closeness (1.57) and brokering (1.12) in reagent 6. Figure 2 shows the PHQ-9 network estimated border weight confidence intervals.
Regarding the accuracy of network connection magnitudes calculated by Bootstrap analysis, the analysis indicates that there is a high precision with the dependent intervals of the evaluated network.
This research aimed to explore the dynamics of depression symptoms in adults having Pulmonary arterial hypertension (PAH). This study is the first to use network analysis for PHQ-9 in the Latin American region such as Peru, although several researches have considered network analysis for psychopathological symptoms which may be up to 13 items. Several network trainings on depression symptoms have been evaluated using diverse clinical samples such as chronic pain, depression, bipolar disorder, cancer, but it had been assumed that network analysis has not been performed on Spanish speaking individuals with HTA14.
Therefore, the importance of identifying the deduced components such as chronic pain, depression, bipolar, disorder, and cancer with a greater focus on evaluating would make it possible to strengthen clinical effectiveness for future interventions in patients diagnosed with HTA. This would be considered only to highlight the strength of the node as the main centeredness index due to its stability10. In this sense, the results revealed that the elements with the most centrality are the items of “depressive mood” and “fatigue or energy loss”, this indication may suggest that these symptoms are probably more prevalent in adults diagnosed with HTA. The results are consistent with the McWilliams et al.’s15 network study in a sample of patients with chronic pain, which indicated the importance of such symptoms. Other longitudinal network studies have also reinforced the centrality of the “depressed state” symptom16,17. Furthermore, a recent systematic study of psychopathological networks12 also reported transversal and longitudinal studies of depressive and anxious symptomatology, where the depressive mood symptom has greater network centrality. Therefore, health professionals may consider these symptoms as being in a negative emotion mood, they can also be indicators for resistance to clinical treatment18.
These findings are similar to previous PHQ-9 network studies in cancer patients19, which indicate a greater centrality in reagent 4 (energy loss), which may suggest an indirect relationship of this symptom in people with an irreversible chronic disease.
In conclusion, the most central reagents in the network (2 and 4) with the most connections report a moderate relationship and are relatively close to the system. These network findings suggest possible routes of greater concentration and dynamism in the process of depressive symptomatology that at a higher level and prevalence, it is more likely to activate the interactive development of the various symptoms of PHQ-9, which may even lead to a depressive episode. Those reagents could have a more significant influence on the components with greater online covariance such as “Psychomotor issues,” “suicidal ideation,” and “anhedonia.” Therefore, the results will contribute to developing personalized treatments aimed at patients with specific depressive symptoms have also been diagnosed with HTA.
However, the research has the following limitations; for example, the study is cross-sectional, which does not allow inference of whether a given node is caused or caused by another node to which it is connected, considering that they are non-directed networks. Another point is the selected small sample of a national survey, which also does not allow for generalization of the results to other patients with physical disorders.
Zenodo: ENDES2019 Dataset with interpretation on depressive symptomatology in Peruvian adults with HTA. http://doi.org/10.5281/zenodo.438403513.
This project contains the following underlying data:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
All informed consent was obtained for experimentation with human subjects. All the participation was utterly consensual, unspecified, and voluntary.
Cristian Antony Ramos-Vera: Conceptualization, Formal Analysis, Methodology, Validation, Visualization, Writing-Original Draft Preparation; Jonatan Banos-Chaparro: Data Curation, Investigation, Formal Analysis, Writing-Original Draft Preparation; Roseline Oluwaseun Ogundokun: Resource, Methodology, Supervision, Writing-Review, and Editing
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
References
1. Contreras A, Nieto I, Valiente C, Espinosa R, et al.: The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review.Psychother Psychosom. 2019; 88 (2): 71-83 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Rahul Shidhaye: Epidemiology, public mental health, depression, health services research Rachana Parikh: Global Mental Health, Adolescent Health, Epidemiology, Health Systems research.
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
References
1. Villarreal-Zegarra D, Copez-Lonzoy A, Bernabé-Ortiz A, Melendez-Torres GJ, et al.: Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): A measurement invariance study across groups by demographic characteristics.PLoS One. 2019; 14 (9): e0221717 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Clinical psychiatry, suicide, psychopharmacology, history of psychiatry.
Alongside their report, reviewers assign a status to the article:
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