key: cord-1048210-y3utefw9 authors: Ames-Guerrero, R. J.; Barreda-Parra, V. A.; Huamani-Cahua, J. C. title: Psychometric properties and factor invariance for the General Health Questionnaire (GHQ-28): study in Peruvian population exposed to the COVID-19 pandemic. date: 2020-11-13 journal: nan DOI: 10.1101/2020.11.10.20229435 sha: 5d65c65d82b738d37cd2daa23cc6461127fd96b3 doc_id: 1048210 cord_uid: y3utefw9 Abstract Large-scale epidemics are known to significantly disrupt the mental health and perceived well-being of most populations. In spite of the wide range of screening tools, there are not many reliable and widespread tools for the identification of psychological symptoms in non-clinical populations during a health crisis. Objective: The aim of this study was to conduct a psychometric analysis of the Goldberg's GHQ-28 (1) through a sample of Peruvian adults using confirmatory factor analysis. Materials and methods: 434 individuals have been examined, studying the goodness and structure of the Goldberg GHQ-28 questionnaire. Result: We found high reliability indicating optimal values ( by Cronbach = .829), also there are four correlated factors that show strict invariance among the 28 items. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were used to examine the structure of the subscales. There are high levels of anxiety (X=1.01) and social dysfunction (X=1.21) in the assessed sampling. Conclusion: The factorial structure obtained in this study is similar to that originally described by the researchers involved in the original questionnaire. It is concluded that GHQ-28 is suitable to explore prevalence of psychopathologies in emergency contexts and social isolation for general non-psychiatric population. Keywords: Mental Health, Primary Health, Psychological screening, GHQ-28 questionnaire Health, understood as a "sense of general well-being and not just the absence of disease", as mentioned by the WHO, is an essential condition for the continuity and integral development of individuals. Maintaining adequate overall health in crisis contexts then becomes a growing challenge for health managers on a global scale. In this context, it should be noted that while there are sustained efforts to implement public protection strategies to improve COVID-related infections,19, reports of prevalence of mental illness due to emotional instability have been increasing throughout the period of the first coronavirus outbreak, this exposes the population to the development of psychopathologies and states of deterioration of mental health (3) (4) (5) Previous studies emphasize the importance of identifying in early stages the psychological symptoms of nonpsychiatric population in order to reduce the probability of developing mental disorders and the chronology of clinical symptoms (6, 7) . However, despite the extensive list of psychological health screening instruments, there are some diagnostic accuracy problems (8) . Within the considerations to choose one instrument of psychological symptom screening over another, For example, criteria of scientific rigor are found to ensure that the instrument has the reliability and validity necessary to optimally integrate the diagnosis and treatment, in addition to containing criteria for adaptation of the content (9) . Accurate diagnosis in mental health is critical to guiding treatment programs (6) . While the standard diagnostic guidelines "gold standard" for psychiatric evaluation are the most appropriate, the psychological screenings provide rapid and low-cost diagnostic support for the identification of cases. It is worth mentioning that the use of the General Health Questionnaire (GHQ-28) has been extended to a wide variety of diseases and clinical diagnoses as a self-perceived health evaluation tool. This tool was previously used to identify psychosocial problems related to stressful life events in primary care services, such as in the treatment of chronic diseases whose data on individual variables (age, sex, activity, socioeconomic and cultural level) make it possible to determine the prevalence of health indicators. Although there are multiple previous validations on the psychometric properties of GHQ-28 with psychiatric patients and/or with physical disease, few studies base their exploration on normal population. In the literature, we found validation studies of the GHQ-28 questionnaire in North America with patients diagnosed with physical deterioration (10) ; endocrinological diseases in samples from patients with drug addiction (11) as opioid dependence (12) . Additionally, we found studies in military samples for example: Farhood et all validated Arabic versions in war-exposed civilians (13) , as well as predictive validity studies of GHQ-28 in patients with substance use disorders in therapeutic communities (14) in Spanish-speaking countries. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020. 11.10.20229435 doi: medRxiv preprint Previous studies have shown the use of confirmatory and exploratory analysis factors to study the psychometric properties of the questionnaire. In particular, we found a reference study described by Prady et all. , who analyses multi-ethnic samples of pregnant women using confirmatory and exploratory analysis for a longitudinal study (15) ; Similarly, we found confirmatory analysis studies of GHQ-28 with non-clinical samples in adults of the armed forces in South Africa (16) and population with coronary heart disease in Norway, basing the analysis on configural invariances, metrics and scalars for an experimental study design (17) . The clinical evaluation process applied in various populations entails challenges related to the translation and adaptation of the instrument. One relevant aspect to consider are the ethnic and semantic differences in content that might have an "unexpected" response in the results (15) . The rapid identification of emotional problems in a single instrument makes it necessary to validate the Goldberg general health questionnaire (GHQ-28). Therefore, it is conceivable that due to the inherent complexities of nature and cultural differences it is appropriate to validate the general health instrument in a non-discretionary population under conditions of global emergency. Materials and Methods Table 1 shows the characteristics of the study sample. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint Fully filled instruments were considered valid and the exclusion criteria were under 18 years of age, and those who scored high in bias for social desirability. Prior to the beginning of the study, approval was obtained from the local ethics committee of the Catholic University of Santa Maria, in addition to the written consent of each participant. The General Health Questionnaire (GHQ-28) GHQ-28 is a self-administered general health questionnaire for the detection of mental disorders, which contains 28 itemes. Participants were asked about the symptoms and/or discomfort they had experienced recently (in recent weeks) during the coronavirus pandemic. Each item is graded on a 4-point scale to identify the severity of symptoms between 0 and 3 ("Not at all", "No more than usual", "More than usual" and "Much more than usual"). This version contains 4 subscales: somatic symptoms, anxiety, insomnia, social dysfunction, and severe depression (1). The general health questionnaire (GHQ-28) was converted to a virtual format to facilitate filling and reduce the risk of infection of researchers. Those who decided to fill in the tool, received information to . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint participate in the study, for this it was requested their informed consent where they were explained the objective of the investigation and the implicit risks. To perform the psychometric analysis of the Goldberg questionnaire (GHQ-28), the descriptive data (mean, standard deviation, asymmetry, kurtosis and item-test correlation) we used the software JASP, considering a threshold of ± 2 to identify asymmetric values from normal values (17) . Subsequently, the internal structure of the instrument was evaluated through the Confirmatory Factor We performed a multigroup CFA, from that, four types of invariance were used: configural, weak, strong and strict (restricting factor loads, intercepts and variances of errors), the criteria used were the difference in the square Chi, as well as the comparative adjustment indices proposed by Millsap et all., (21) values lower than .010 in the CIF and of .015 in the RMSEA are considered indicators of equivalence for the models. Finally, the reliability of the internal consistency was evaluated with the Cronbach and Omega Alpha coefficient of McDonald (ω) (22) , as well as the average extracted variance (AEV), whose value exceeds 0.5 provides evidence of convergent internal validity (23). The confirmatory Factor Analysis and exploratory analysis allowed to assess the structure of the (GHQ-28) sub-scales in Peruvian population not psychiatric. In Table 2 , the quantitative analysis is shown, we found that global averages varied for the subscales of anxiety/insomnia and social dysfunction, whose means are high and are between (M= 1.01; DE = 0.885) and (M= 1.21; DE = 0.942) for items (1, 5, 8, 9, 10, 11, 15, 16, 17, 18, 20, 21) . And the other group, formed by the items (2, 3 . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint Table 3 shows the goodness-of-fit index of GHQ-28. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint In Table 5 , the invariance of the four correlated factors from the CFA (confirmatory factor analysis) is shown. We found strict invariance, it is to be noted that the factorial loads are similar in the group of participants with diagnosis of psychological disorder and non-psychological cases, as well as in the group according to level of studies. However, according to gender (men and women), . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020. 11.10.20229435 doi: medRxiv preprint In addition, the mean of the extracted variance (AVE> 0.5) was included, indicating convergent validity, where the factors (somatic symptoms and social dysfunction) do not meet this criterion. In this study, the psychometric properties of the Goldberg general health questionnaire for non-psychiatric population were determined in the Spanish version for Peruvian adults using confirmatory factor analysis. This analysis would indicate that the internal factorial structure of the instrument according to the four-factor model yielded an adequate fit. Consistent with our findings, the factor analysis of previous studies also reported the construct validity of four factors with samples from different patients. The various versions found confirm that the four-factor model, such as: Malaysian version with patients with drug addiction, diabetes and normal population (9) , in the Spanish version to patients with fibromyalgia (18) , in the Norwegian version to patients who suffered a cerebrovascular accident, with some differences in the factor structure compared to the original version by Goldberg and Hillier (17) , also in the Spanish version with patients diagnosed of opiate dependence. However, despite the fact that the 4-factor model is significantly greater than the 3-factor model, as proposed by Goldberg and Hillier(12) , the proper fit of the original instrument was not achieved. It should be noted that the studies conducted on non-clinical samples of different ethnicities did not obtain a good statistical fit. For example, the three-factor structure fit better than the four-factor scale in a South African black sample of military employees. (16) , and the five-factor structure had a better fit in a sample of maternal women of diverse ethnicity and languages in the United Kingdom (fifteen). However, in recent studies with clinical and non-clinical samples, psychological health has been evaluated with the four-factor GHQ-28, according to the original version of Goldberg 1972 and Goldberg and Hillier 1979(19-21) . It is necessary to point out that with regard to invariance, this is the first study to examine the measurement invariance of the GHQ-28 of four factors in the three groups formed: a) gender, b) diagnosis and c) latest studies. Strict invariance is accepted in the group of participants with a . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint diagnosis of psychological disorder and non-psychological cases and in the group of recent studies carried out, that is, it is accepted that factor loadings, factor weights and intercepts are similar in each group. Additionally, strict variance is found according to gender, finding statistically significant differences (median effect size) in two factors, somatic symptoms and anxiety / insomnia, however the other two factors: social dysfunction and severe depression show no differences. (22) Acceptable values between .70 and .83 were reported in a sample of military in South Africa (16) and values between .719 and .881 in the Norwegian version with patients who suffered a stroke (17) . In this study, GHQ-28 was applied during the COVID-19 coronavirus pandemic, just as it was applied in other countries for the detection of psychological problems in the general population. In the sample of Peruvian participants, 40.8% reported psychological problems and obtained higher means in the subscales of anxiety and insomnia and social dysfunction, 61.3% of the total population were women. Being a woman was associated with a higher risk of suffering from anxiety and insomnia and somatic symptoms(3). These results are similar to those reported by a study reported in China (21), 42.65% had a high prevalence of psychological problems (GHQ-28 48.3% on the subscale of depression, 22.6% in the anxiety subscale and 19.4% in a combination of both, with a higher risk in the group of 18 and 39 years, students and technical and professional employees, 56.09% were men. Higher percentages were found in Poland with mixed samples and higher participation of women. In the sample of medical and non-medical professionals, psychological problems were moderate (total score GHQ-28> 24) in 60.8% of the medical group vs 48% of the non-medical group, in two subscales, somatic symptoms and anxiety and insomnia, with a higher risk for women, 74.4% of the non-medical group were women (twenty). In another longitudinal study in Poland with an alcohol consuming population, compared with the group that did not consume alcohol (27.8%), no differences were found in the somatic and anxiety/ insomnia subscale, with a higher risk of suffering from depressive symptoms and worse mental health in participants who consumed more alcohol than before, during the pandemic, 78% of the total population were women (19) . In summary, except in China with a relatively higher percentage of male participants (56.09%), depressive symptoms are not significant in the normal population, in all samples with a higher . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint participation of women, symptoms of anxiety and insomnia were reported as a consequence of the pandemic. In another study conducted before the pandemics, there was a higher participation of men (83.6%) with a higher average (12, 42) in the social dysfunction subscale (16) . These studies confirm that gender is an elemental factor associated with anxiety, insomnia and somatic symptoms. In the review of the literature, we found no evidence of the validation of the GHQ-28 in the Latin American population, so we consider that this study is a contribution to the theoretical and empirical knowledge of the instrument. Unlike other questionnaires, this study examines the invariance of four factors by gender, diagnosis (psychological disorder and no psychological case) and educational level (secondary, university studies, undergraduate and graduate). These findings represent a significant input to suggest the use of the GHQ-28 in the identification of the general psychological health status, which, according to the analysis carried out, must take into account the gender, age and educational level approach that could serve as a predictive instrument in contexts of global uncertainty. Although the results are not conclusive, the evaluation of anxiety with other instruments (different from the GHQ-28) concluded similar patterns, finding differences by gender, with a higher percentage of women reporting anxiety symptoms above the cut-off point (2. 3) and others who did not report gender differences in anxiety to coronavirus (24) . Our findings were consistent with Huang's Asian study. (26) who suggests a high correlation between anxiety, somatization and the coexistence of insomnia symptoms in the general population (> 0.75). Among the possible limitations, the validation of the GHQ-28 cannot be considered representative of the entire Peruvian population, given the non-probabilistic nature of the sample, the non-inclusion of participants of various ethnicities and languages; Future studies could focus on the population with low economic resources, in marginal urban areas, with low academic achievements, and without connection to wireless networks. Even though, it is not a random and large population-based study, our sample represents Peruvians from various departments of Peru. The factorial structure of the GHQ-28 confirms the four-factor model, especially suitable for working in the Peruvian context with an adult population. An important strength of the study is that the instrument presents factorial invariance and can be useful for psychological evaluation, it has also been shown that it presents adequate reliability for this population. Therefore, the questionnaire is useful for making diagnostic assumptions in people seeking help and who may require psychotherapeutic support. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint RAG. conceived and designed the study. RAG, JHC, ABP collected the data, JHC analyzed and interpreted the data. All authors participate in the writing and approval of the final version of the article. This study had no funding The authors report that the research was conducted in the absence of any commercial or financial implications that could be considered a potential conflict of interest. Research approaval was obtained from the ethics committee of the Catholic University of Santa María (ref. No. 167-2020), the participants gave consent before being included in the study. Psychological problems associated with coping strategies: a web-based study in Peruvian population during the COVID-19 pandemic Impact of the COVID-19 Pandemic on Mental Health and Quality of Life among Local Residents in Liaoning Province, China: A Cross-Sectional Study A literature review of 2019 Novel Coronavirus during the early outbreak period: Epidemiology, causes, clinical manifestation and diagnosis Diagnosis of nonpsychotic patients in community clinics The use of the General Health Questionnaire (GHQ-28) to estimate prevalence of psychiatric disorder in early pregnancy Thresholds and accuracy in screening tools for early . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprint The copyright holder for this this version posted Furthering the reliable and valid measurement of mental health screening, diagnoses, treatment and outcomes through health information technology The Validation of the GHQ-28 and the use of the MMSE in Neurological In-Patients Construct validity of symptom checklist-90-revised (SCL-90-R) and general health questionnaire-28 (GHQ-28) in patients with drug addiction and diabetes, and normal population Propiedades psicométricas del GHQ-28 en pacientes con dependencia a opiáceos Validation of an Arabic version of the GHQ-28 against the beck depression inventory for screening for depression in war-exposed civilians Predictive Outcome Validity of General Health Questionnaire (GHQ-28) in Substance Abuse Patients Treated in Therapeutic Communities The psychometric properties of the subscales of the GHQ-28 in a multi-ethnic maternal sample: Results from the Born in Bradford cohort A confirmatory factor analysis of the general health questionnaire-28 in a black South African sample The General Health Questionnaire-28 (GHQ-28) as an outcome measurement in a randomized controlled trial in a Norwegian stroke population Cuestionario de Salud General (GHQ-28) The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis survey: An R package for complex survey analysis of structural equation models Package ' semTools ' R topics documented Power analysis and determination of sample size for covariance structure modeling Investigating factorial invariance in longitudinal data El coeficiente Omega: un método alternativo para la estimación de la confiabilidad Evaluating Structural Equation Models with Unobservable Variables and . CC-BY-NC-ND 4.0 International license Measurement Error El cuestionario general de salud (GHQ-28) en pacientes con fibromialgia: propiedades psicométricas y adecuación. Clin y Salud Alcohol consumption reported during the COVID-19 pandemic: The initial stage Mental Health of Medical and Non-Medical Professionals during the Peak of the COVID-19 Pandemic: A Cross-Sectional Nationwide Study Psychosocial and coping responses toward 2019 coronavirus diseases (COVID-19): a cross-sectional study within the Chinese general population Validación del Cuestionario de Salud General de Goldberg (versión 28 ítems) en consultas de atención primaria The loneliness pandemic: Loneliness and other concomitants of depression This study was part of a series of investigations on mental health. We thank the teachers and students who were involved in the development of this study. The authors declare no conflict of interest. It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) preprintThe copyright holder for this this version posted November 13, 2020. ; https://doi.org/10.1101/2020.11.10.20229435 doi: medRxiv preprint