Introduction: The World Health Organization’s Well-Being Index (WHO-5) is a five-item scale designed to measure psychological well-being and is considered effective in detecting depressive symptoms. This scale was translated and validated in more than 30 languages and is used in clinical practice and research worldwide. In Portugal, validation of this scale has yet to be done. This study aimed to analyse the psychometric performance of the WHO-5 scale in the setting of a Portuguese adolescent population. Methods: An observational cross-sectional survey-based study was carried out to assess the emotional state of adolescents resorting to the WHO-5 scale. A sample of 1,916 elementary and secondary school students from grades 7–12 was used. Results: The WHO-5 median score was 17 [14–20], and the best scores were found in males (p < 0.001), in those with no health issues (p < 0.001), those who slept well (p < 0.001), those who practiced sports (p < 0.001), and those who had no difficulties making friends (p < 0.001). Results from the answers to the WHO-5 questionnaire showed good internal consistency with a Cronbach alpha value of 0.80, and a confirmatory factor analysis supported the unidimensional structure of the questionnaire, which was consistent with a valid scale for the study sample. Conclusion: This study showed that the Portuguese version of the WHO-5 can assess psychological well-being in adolescents. The WHO-5 is a simple and readily useable scale that can be applied in routine consultations for screening the emotional state of adolescents and early detection of signs of mental health problems.

Introdução: O índice de bem-estar da Organização Mundial de Saúde (WHO-5) é uma escala com 5 itens que foi projetada para medir o bem-estar psicológico e foi considerada eficaz na deteção de sinais de depressão. Esta escala foi traduzida em mais de 30 línguas e é usada na prática clínica e em investigação em todo o mundo. Em Portugal a validação desta escala ainda não foi realizada. O objetivo desde estudo é analisar o desempenho psicométrico da escala WHO-5 numa população adolescente portuguesa.Método: Estudo transversal observacional baseado em questionários, para avaliar o estado emocional de adolescentes recorrendo à escala WHO-5. Foi obtida uma amostra de 1916 estudantes do ensino básico e secundário, do 7º aos 12º anos de escolaridade.Resultados: A pontuação mediana da WHO-5 foi de 17 [14–20] e as pontuações mais altas foram encontradas em adolescentes do género masculino (p < 0.001), naqueles sem problemas de saúde (p < 0.001), que dormiam melhor (p < 0.001), que praticavam desporto (p < 0.001) e naqueles que não tinham dificuldade em fazer amigos (p < 0.001). Os resultados do questionário WHO-5 demonstraram uma boa consistência interna, com valor de alfa de Cronbach de 0.80 e a análise fatorial confirmatória suportou a unidimensionalidade do questionário, que em conjunto permitiu concluir pela validez da escala nesta amostra.Conclusão: Este estudo concluiu que a versão portuguesa do WHO-5 pode ser utilizada para avaliar o bem-estar psicológico de adolescentes. A WHO-5 é uma escala simples e de aplicação fácil, que pode ser usada em consultas de rotina para rastrear o estado emocional dos adolescentes e detetar precocemente sinais de problemas de saúde mental.

Palavras ChaveWHO-5, Desempenho psicométrico, Versão portuguesa, População adolescente

According to World Health Organization (WHO), quality of life assesses individuals’ perceptions of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and concerns [1]. It is a complex concept that includes health and psychological well-being dimensions [2]. As follows, one of the fundamental factors that positively influences quality of life is good mental health. Concerns about children and adolescents’ mental health continue to increase despite more awareness into the issue.

According to data provided by Global Health Data Exchange, it is estimated that 1 in 7 children aged 10–19 years’ experience mental health conditions worldwide. Nevertheless, these remain unrecognized and untreated in many cases [3]. The most common mental health conditions in adolescents are anxiety disorders. It is estimated that 3.6% of 10- to 14-year-olds and 4.6% of 15- to 19-year-olds experience anxiety [3]. Depression is estimated to occur among 1.1% of adolescents aged 10–14 years, and 2.8% of 15- to 19-year-olds [3]. In Portugal, most adolescents consider themselves happy (81.7%), but from those who do not feel as happy, about 27.6% feel worried several times a day, every day [4]. Also, Portuguese adolescents feel nervous (13.6%), irritable (12.6%), sad (9.2%), and afraid (6.3%) daily [4]. Adolescents who suffer from mental health conditions are particularly at risk for social exclusion, discrimination, stigma (affecting readiness to seek help), educational difficulties, risk-taking behaviours, physical ill-health, and human rights violations [3]. On the other hand, children and adolescents who are happy and confident are more likely to reach adulthood with a better quality of life and show higher resilience towards hardship [5]. Early assessment, intervention, and promotion of positive mental health may empower young people as they develop into adults.

The five-item World Health Organization’s Well-Being Index (WHO-5) is a short and generic global rating scale, derived from WHO-10 by the Psychiatric Research Unit, Mental Health Centre North Zealand, Hillerød, Denmark [1, 6]. This scale was designed to measure psychological well-being, has adequate validity both as a screening tool for depression and as an outcome measure in clinical trials, and has been applied successfully as a generic scale for well-being across a wide range of study fields [6]. Nevertheless, this scale has been used extensively in adults, and only a few studies were published in the paediatric population [7‒11]. Since its publication in 1998, it has been translated into more than 30 languages and used in research studies globally [1, 6‒10]. The Portuguese version was developed by the same group who designed the original scale and is available online [12]. Although previously applied to adolescents in Portugal, the psychometric properties of this version have not yet been examined in that specific population [9‒11, 13].

The main purpose of this study was to analyse the psychometric properties of the Portuguese version of the WHO-5 well-being index in a Portuguese adolescent population. The scale construct validity, internal consistency, and unidimensional structure were assessed. Another aim was to assess the relationship between psychosocial traits and general well-being.

Study Design and Sample

We performed a post hoc analysis on a study that was aimed at assessing adolescent internet addiction and the role of parental control [9]. This cross-sectional survey-based study was conducted in a regional subset of Portugal (Cova da Beira) and included adolescent students attending public schools. Both elementary and secondary schools, accounting for 3,788 students from grades 7 through 12, were invited to participate. A total of 1,916 eligible responses were obtained.

Instrument

The questionnaire comprised three sections: (1) questions on sociodemographic factors, health-related aspects, and lifestyle habits; (2) a validated scale assessing the risk of internet addiction; (3) the WHO-5 scale for well-being. The WHO-5 scale only has positively worded questions. Measuring positive well-being rather than depressive symptoms is more gainful since it is considered better accepted by patients and more effective in detecting depression [14] The respondents were asked to rate how well each item applied to them in the last 14 days. Each of the five items could be scored from 0 (“none of the time”) to 5 (“all of the time”). The final score was obtained by adding the five individual scores, with results ranging from 0 to 25. A score below 13 suggests poor well-being [1, 12, 15] and is an indication for testing for depression [1, 15].

Procedure

Approval by the Portuguese Ministry of Education and the Portuguese Data Protection Authority was obtained before the study. Written consent was obtained from all participants or, where relevant, from their legal guardians. Participants answered a questionnaire under their class teacher’s supervision. Respondents with unsigned consent forms and participants older than 17 years and 365 days were excluded from the study. Data collection was performed between September and October 2017.

Statistical Analysis

General sociodemographic, psychosocial traits and behavioural data were collected for the main study, detailed and discussed in a previous publication [9]. For this secondary analysis, we examined the WHO-5 questionnaire scores alongside data on age, sex, medical history, and social behaviours. Specifically, we focused on participant’s ability to make friends easily, their engagement in sports, and any reported sleep problems. The independent samples of the t-test were conducted to compare groups. Emotional well-being was scored using the Portuguese version of the WHO-5 (shown in online supplement 1; for all online suppl. material, see https://doi.org/10.1159/000543728) [12].

We used confirmatory factor analysis (CFA) to test the structure of the construct WHO-5. Parallel analysis was used to identify the number of dimensions/factors to retain in principal component analysis (PCA). We used PCA for categorical variables, which allowed us to produce numerical values for PCA and reduce our data’s dimensionality. We used the minimum average partial method to achieve the same goals for redundancy. The unidimensionality of the WHO-5 scale was tested with parallel analysis [16, 17] and the minimum average partial method [18‒20], complemented by a principal component analysis for categorical variables [21].

CFA for categorical variables was conducted since the present study aims to validate a hypothesized measurement model [22]. The analysis was performed with version 4.2.1 of the software R [23] using packages Lavaan version 0.6.12 [24], psych [25], and semPlot [26]. Model fit was assessed by goodness of fit measures – Goodness-of-Fit Index (GFI), Incremental Fit Index (IFI), Tucker-Lewis index (TLI), with a cut-off value close to 0.95 or above [27], and badness of fit measures – root mean square residual and root mean square error of approximation (RMSEA), with cut-off values below 0.08 and 0.06, respectively [27].

A total of 1,916 eligible responses were obtained. The mean age was 15 years (SD = 1.8), with a slight predominance of female (53%) participants. The median z-score of body mass index was −.24. The WHO-5 median score in our sample was 17 [IQR 14–20], with 172 (9%) scoring below 13. A CFA was conducted with a sample size of 1,701 after the case wise deletion of missing data. This size is way above the minimum of 200, which maximizes the decrease in the standard deviation of the RMSEA [28]. The model, estimated with maximum likelihood, has ten parameters (q: 5-factor loadings and five measurement error variances), which results in a ratio of 170.1 observations per estimated parameter (N:q), well above the threshold of 10:1 for maximum likelihood estimated models [29]. Figure 1 depicts the final model of CFA, which includes five observed variables, five measurement error terms, and one construct, WHO-5. The initial model is shown in online supplement 2.

Fig. 1.

Final CFA model of WHO-5.

Fig. 1.

Final CFA model of WHO-5.

Close modal

The unidimensionality of the WHO-5 scale in Portuguese was confirmed as parallel analysis, minimum average partial method, and principal component analysis for categorical variables all converged to the solution of one component/factor. Results in Table 1 indicate that most variables exhibit moderate to high polychoric correlations. In this model, all factors loading were good. To further examine the validity of the target model presented in Figure 1, we used CFA techniques to analyse it. Results in Table 2 show that the model fit is slightly outside the acceptable criteria for fit recommended by Schumacker and Lomax [22]. As the fit was unsatisfactory, the model was modified [22] based on modification indexes (MI), which measure how much the reduction will be on the discrepancy between the model and data when parameters are added or freed or when equality constraints are relaxed in the model of Sörbom [30]. The use of MI must be done with caution, as mentioned by MacCallum and colleagues [31], so MI were not used to change the structural model proposed by theory, allowing only the manifest variables to covary. In the modified model, two pairs of measurement errors were allowed to covary. Table 2 shows that the measures of the modified model reflect a good fit. The Cronbach’s alpha, a measure of internal consistency, was 0.80, consistent with the high internal consistency of the WHO-5 questions. The resulting model with unstandardized parameter estimates is provided in Figure 1.

Table 1.

Means, standard deviations, polychoric correlations, and loadings of the WHO-5 variables

Table 1.

Means, standard deviations, polychoric correlations, and loadings of the WHO-5 variables

Close modal
Table 2.

Fit measures of the initial and final models of WHO-5

Measurechi sqdfp valueGFIIFITLIRMRRMSEAComposite reliabilityAlphaOmega
Initial model WHO-5 82.72 0.00 0.98 0.97 0.94 0.05 0.09 0.79 0.80 0.79 
Final model WHO-5 8.76 0.03 1.00 1.00 0.99 0.02 0.03 0.79 0.80 0.79 
Measurechi sqdfp valueGFIIFITLIRMRRMSEAComposite reliabilityAlphaOmega
Initial model WHO-5 82.72 0.00 0.98 0.97 0.94 0.05 0.09 0.79 0.80 0.79 
Final model WHO-5 8.76 0.03 1.00 1.00 0.99 0.02 0.03 0.79 0.80 0.79 

Standardized estimates are presented in Table 3 and standard errors. Overall, the results obtained with the CFA were acceptable and indicated a good fit model, thus showing that the WHO-5 scale is valid for our studied population. As shown in Table 4, the best WHO-5 scores were found in males (p < 0.001), in those with no health issues (p < 0.001), who slept well (p < 0.001), who practiced sports (p < 0.001), and those who had no difficulties making friends (p < 0.001).

Table 3.

Standardized coefficients for the final model for the WHO-5 variables

VariableStandardized coefficientSE
1. I have felt cheerful in good spirits. [Senti-me alegre e bem disposto/a] 0.79 0.02 
2. I have felt calm and relaxed. [Senti-me calmo/a e tranquilo/a] 0.64 0.02 
3. I have felt active and vigorous. [Senti-me activo/a e enérgico/a] 0.67 0.02 
4. I woke up feeling fresh and rested. [Acordei a sentir-me fresco/a e repousado/a] 0.70 0.02 
5. My daily life has been filled with things that interest me. [O meu dia-a-dia tem sido preenchido com coisas que me interessam] 0.56 0.02 
VariableStandardized coefficientSE
1. I have felt cheerful in good spirits. [Senti-me alegre e bem disposto/a] 0.79 0.02 
2. I have felt calm and relaxed. [Senti-me calmo/a e tranquilo/a] 0.64 0.02 
3. I have felt active and vigorous. [Senti-me activo/a e enérgico/a] 0.67 0.02 
4. I woke up feeling fresh and rested. [Acordei a sentir-me fresco/a e repousado/a] 0.70 0.02 
5. My daily life has been filled with things that interest me. [O meu dia-a-dia tem sido preenchido com coisas que me interessam] 0.56 0.02 
Table 4.

Descriptive analysis and independent t-test to compare gender, health issues, sleeps well, practice sports, and hard to make friends

VariableN%WHO-5.1WHO-5.2WHO-5.3WHO-5.4WHO-5.5WHO-5
Gender 
 Male 872 46 3.86*** 3.76*** 3.63*** 3.09*** 3.54*** 71.51*** 
 Female 1,008 53 3.51 3.15 3.16 2.69 3.28 63.13 
Health issues 
 No 1,422 75 3.71*** 3.50*** 3.44*** 2.93** 3.42** 67.96*** 
 Yes 445 24 3.56 3.19 3.18 2.70 3.34 63.85 
Sleeps well 
 No 171 2.99*** 2.67*** 2.89*** 1.89*** 2.95*** 53.61*** 
 Yes 1,677 89 3.75 3.52 3.44 2.99 3.45 68.56 
Practices sports 
 No 861 46 3.59*** 3.35** 3.17*** 2.78** 3.23 64.53*** 
 Yes 1,017 54 3.75 3.51 3.56 2.95 3.54 69.22 
Hard to make friends 
 No 1,602 85 3.76*** 3.51*** 3.48*** 2.97*** 3.47 68.73*** 
 Yes 271 14 3.14 3.00 2.82 2.34 3.02 57.28 
VariableN%WHO-5.1WHO-5.2WHO-5.3WHO-5.4WHO-5.5WHO-5
Gender 
 Male 872 46 3.86*** 3.76*** 3.63*** 3.09*** 3.54*** 71.51*** 
 Female 1,008 53 3.51 3.15 3.16 2.69 3.28 63.13 
Health issues 
 No 1,422 75 3.71*** 3.50*** 3.44*** 2.93** 3.42** 67.96*** 
 Yes 445 24 3.56 3.19 3.18 2.70 3.34 63.85 
Sleeps well 
 No 171 2.99*** 2.67*** 2.89*** 1.89*** 2.95*** 53.61*** 
 Yes 1,677 89 3.75 3.52 3.44 2.99 3.45 68.56 
Practices sports 
 No 861 46 3.59*** 3.35** 3.17*** 2.78** 3.23 64.53*** 
 Yes 1,017 54 3.75 3.51 3.56 2.95 3.54 69.22 
Hard to make friends 
 No 1,602 85 3.76*** 3.51*** 3.48*** 2.97*** 3.47 68.73*** 
 Yes 271 14 3.14 3.00 2.82 2.34 3.02 57.28 

p values of t tests.

**p < 0.01.

***p < 0.001.

This analysis of the Portuguese version of the WHO-5 index on a sample of adolescents showed good internal validity, with Cronbach’s alpha value of 0.80. This indicates that the answers for each question are consistent and do not overlap, thus conferring a high internal consistency to this model. Acceptable to high internal consistency was also found in previous studies with clinical and community samples of various age groups [14, 32‒38]. Particularly in the adolescent population, the Cronbach’s alpha values ranged from 0.7 in Ghana [34], 0.78 across several European countries [35], and 0.85 in the Netherlands [36].

The CFA results support the unidimensional structure of the questionnaire, as described by other authors [5, 30, 31, 34, 35]. After modification, the final model showed good fit measures, with TLI, GFI, and IFI values >0.95 and root mean square residual and RMSEA <0.08. In the PCA, factor loading for the items ranged from 0.77 to 0.83. These results confirm that the WHO-5 has a unidimensional structure, with validity and consistency criteria to evaluate general well-being in Portuguese adolescents.

Adolescence is one of the most formative phases of human development, with selective physical, cognitive, emotional, and social maturation. It is also the time to seek the balance between risky and protective behaviour, personality education, consolidation of social roles, and lifestyle choices. The WHO-5 median score in our sample was corroborated with previous studies conducted in our country [11]. To explain the high levels of well-being observed in adolescents, several studies suggest that throughout life, there might be a slight decline in positive affection attributed to the focus on post-materialist goals that favour younger generations [39]. However, 9% of adolescents scored below 13, which indicates poor well-being and a potentially higher risk of developing depressive symptoms. Previous studies demonstrated that the WHO-5 had good diagnostic accuracy for depression and could be applied to adolescents [8]. Adolescents who test positive may, nonetheless, still need careful diagnostic evaluation for depression [40].

Also, in line with previous studies [8, 41], we reported higher WHO-5 scores in male adolescents, which suggests they experience a better well-being state than their female counterparts. Evidence tells us that many reasons may be behind this trend, a significant part of it being due to different stages of development and maturation. Young males start developing their personality more on a personal note, rather than a social one, whereas young females usually prioritize their social sense of identity. Females are also more emotional, have more internalization behaviours [11, 39, 42], and show reflective mindsets early on. At the same time, male adolescents usually mature later keeping a proactive, externalized, and simpler way of thinking for a longer period [11]. The latter may induce a general prolonged feeling of well-being when compared to girls of the same age. Interestingly, these differences in gender characteristics are not constant but rather fluid from adolescence into adulthood, with a tendency to decrease with age [11].

Other important aspects that we reported having better scores in WHO-5 are having no problems in sleeping and practicing sports. Quality of sleep and physical exercise are associated with good health and emotional outcomes during adolescence. Conversely, lack of sleep is often related to poorer health and emotional well-being, with increased self-criticism, internalizing symptoms, and impairment of cognitive functions, among others [43]. Regarding physical exercise, a clear benefit in health and wellness has been described in people who are physically active and practice sports. Our study further corroborates these findings with adolescents mentioning the practice of sports having higher scores on WHO-5 when compared to those who do not have sports habits. On another note, we saw that those who mentioned not having problems in befriending others scored higher on WHO-5. It has also been proved that people with a better social network and peer support frequently show better well-being and report a higher level of self-esteem [11]. Furthermore, a positive association between social competences and well-being has been reported, with social networking being very important for the natural development of adolescents [44]. The development of social competences allows for better establishing a network of friends, which is thought to increase the general well-being of young people [44].

As mentioned before, mental health issues are increasing among adolescents, and as such, it is important to raise awareness of these conditions among physicians who care for children and adolescents, knowing that early detection is crucial for successful management.

Recent evidence suggests that anxiety and depression levels among adolescents have increased in the past few years, mostly after the COVID-19 pandemic [45, 46]. Also, the WHO-5 median score has been declining in Portugal [47] and worldwide [48]. Moreover, in Portugal, some studies reported an increase in depressive symptoms, 11.2% vs. 15.4% before and after the COVID-19 pandemic, respectively [49]. Therefore, more than ever, it is imperative to be aware of these problems and have adequate tools to screen them.

Since this scale can be used as a screening tool for depression and as an outcome measure of well-being, there is a growing field of research around it, which can be extended to other population contexts [6, 9, 10, 13]. It is also important to highlight that patients who had scores <13 should be further investigated to confirm a diagnosis of depression, to rule out normal distress symptoms, or organic causes for depression.

Regarding the nature of this study, some limitations must be considered. Results from this research derived from an ad hoc analysis study, which pertained to a larger study on our selected sample population. Moreover, the sample population corresponds to a subset of adolescents from a specific Portuguese region, so generalization must be done carefully. Finally, we must consider response bias since results were based on self-reported surveys by adolescents.

Besides these limitations, some strengths should also be mentioned. We analysed a sample with a considerable size which strengthened our results, contributing to a smaller margin of error and greater accuracy of the results. To the best of our knowledge, this is the first study addressing the WHO-5 properties in Portuguese adolescents.

A few major findings from this study include (1) the positive outcomes of the current study indicate that the wording and response format of the WHO-5, initially designed for adults, is also appropriate for adolescents; (2) a positive association between certain behaviours in adolescence and improved well-being, such as easy socialization, sports practice, or sleeping well; (3) female adolescents appear more susceptible to poorer well-being, likely due to more internalized and emotional behaviour. This pattern seems to be more characteristic in this phase of their lives when compared to male adolescents.

In conclusion, our findings showed good internal consistency and unidimensionality of the WHO-5 for Portuguese adolescents. It also provided an overview of the general well-being of the study population. Fostering healthy habits and lifestyles in adolescents can be impactful in their well-being and should opportunistically be encouraged by all healthcare professionals. Further implications of our work suggest that the WHO-5 is a simple and readily useable scale that can be applied in routine appointments by family doctors or general paediatricians. It is also a suitable tool that can be used both in clinical practice and research for screening the emotional state of adolescents and early detection of signs of mental health issues.

This study protocol was reviewed and approved by Portuguese Ministry of Education and the Portuguese Data Protection Authority before the beginning of the study. Written consent was obtained from all participants or, where needed, from their legal guardians to participate in the study.

The authors have no conflicts of interest to declare.

This research was supported by FCT – Fundação para a Ciência e a Tecnologia, IP, Project UIDB/04630/2020, DOI identifier 10.54499/UIDB/04630/2020.

Paula Saraiva Carvalho, Miguel Vieira Martins, and Sofia Ferreira designed the experiments. Paula Saraiva Carvalho, Miguel Vieira Martins, and Isabel Azevedo wrote the first draft with contributions from Sofia Ferreira. Miguel Vieira Martins and Sofia Ferreira collected the data. Ricardo Rodrigues analysed the data. All authors reviewed and contributed to the subsequent drafts of the manuscript. All authors approved the final manuscript.

The data supporting this study’s findings are available on request from the corresponding author.

1.
Psykiatric Center North Zealand
.
Psychiatric research unit. About the WHO-5
.
Hillerød Psychiatr Res Unit
.
2024
. [Internet] [cited 2024 Sep 28]. Available from: https://www.psykiatri-regionh.dk/who-5/about-the-who-5/Pages/default.aspx
2.
World Health Organization
.
Division of mental health and prevention of substance abuse. Programme on mental health: WHOQOL user manual: 2012 revision
.
Geneva
:
World Health Organization
;
2012
.
3.
World Health Organization
.
Mental health of adolescents [Internet]
.
Geneva
:
World Health Organization
;
2021
. [cited 2024 Sep 29]. Available from: https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health
4.
Gaspar de Matos
M
,
Aventura Social
E
.
A saúde dos adolescentes portugueses após a recessão: dados nacionais do estudo HBSC 2018
.
Lisboa
:
Faculdade de Motricidade Humana
;
2018
.
5.
Barrett
PM
,
Lock
S
,
Farrell
LJ
.
Developmental differences in universal preventive intervention for child anxiety
.
Clin Child Psychol Psychiatry
.
2005
;
10
(
4
):
539
55
.
6.
Topp
CW
,
Østergaard
SD
,
Søndergaard
S
,
Bech
P
.
The WHO-5 Well-Being Index: a systematic review of the literature
.
Psychother Psychosom
.
2015
;
84
(
3
):
167
76
.
7.
Blom
EH
,
Bech
P
,
Högberg
G
,
Larsson
JO
,
Serlachius
E
.
Screening for depressed mood in an adolescent psychiatric context by brief self-assessment scales: testing psychometric validity of WHO-5 and BDI-6 indices by latent trait analyses
.
Health Qual Life Outcomes
.
2012
;
10
(
1
):
149
.
8.
Allgaier
AK
,
Pietsch
K
,
Frühe
B
,
Prast
E
,
Sigl-Glöckner
J
,
Schulte-Körne
G
.
Depression in pediatric care: is the WHO-Five Well-Being Index a valid screening instrument for children and adolescents
.
Gen Hosp Psychiatry
.
2012
;
34
(
3
):
234
41
.
9.
Martins
MV
,
Formiga
A
,
Santos
C
,
Sousa
D
,
Resende
C
,
Campos
R
, et al
.
Adolescent internet addiction: role of parental control and adolescent behaviours
.
Int J Pediatr Adolesc Med
.
2020
;
7
(
3
):
116
20
.
10.
Mendes
J
,
Martins
MV
,
Azevedo
I
,
Patrício
P
,
Ferreira
S
.
Deliberate self-harm in adolescence: a cross-sectional study
.
REVNEC
.
2024
;
33
(
1
):
12
20
.
11.
Pereira Simões
R
,
Santos
JC
,
Façanha
J
,
Erse
M
,
Loureiro
C
,
Marques
LA
, et al
.
Promoção do bem-estar em adolescentes: contributos do projeto +Contigo
.
Port J Public Health
.
2018
;
36
(
1
):
41
9
.
12.
Psychiatric Research Unit
.
Mental health Centre North Zealand
.
Índice de bem-estar OMS (cinco)
.
Hillerød: Psychiatric Research Unit
;
1998
. (WHO-5): versão de 1998 [Internet] [cited 2024 Sep 28]. Available from: https://www.psykiatri-regionh.dk/who-5/Documents/WHO5_Portuguese.pdf
13.
Gusmão
R
.
Depressão: detecção, diagnóstico e tratamento. Lisboa: Faculdade de Ciências Médicas da Universidade Nova de Lisboa
.
Tese de Doutoramento
;
2005
.
14.
de Souza
CM
,
Hidalgo
MPL
.
World Health Organization 5-item well-being index: validation of the Brazilian Portuguese version
.
Eur Arch Psychiatry Clin Neurosci
.
2012
;
262
(
3
):
239
44
.
15.
World Health Organization
.
Regional Office for Europe. Wellbeing measures in primary health care: the DepCare Project: report on a WHO meeting [Internet]
.
Copenhagen
:
Regional Office for Europe
;
1998
. [cited 2024 Sep 29]. Available from: https://iris.who.int/handle/10665/349766
16.
Dinno
A
.
Horn’s test of principal components/factors (R package version 1.5.2)
.
2024
[Internet] [cited 2024 Sep 28]. Available from: https://cran.r-project.org/web/packages/paran/paran.pdf
17.
Horn
JL
.
A rationale and test for the number of factors in factor analysis
.
Psychometrika
.
1965
;
30
(
2
):
179
85
.
18.
Brian
P
.
O’Connor
.
Package “EFA.dimensions”: exploratory factor analysis functions for assessing dimensionality
.
2024
[Internet] [cited 2024 Sep 28]. Available from: https://cran.r-project.org/web/packages/EFA.dimensions/EFA.dimensions.pdf
19.
Velicer
WF
.
Determining the number of components from the matrix of partial correlations
.
Psychometrika
.
1976
;
41
(
3
):
321
7
.
20.
Velicer
WF
,
Eaton
CA
,
Fava
JL
.
Construct explication through factor or component analysis: a review and evaluation of alternative procedures for determining the number of factors or components
.
Problems and solutions in human assessment
.
Boston, MA
:
Springer
;
2000
. p.
41
71
.
21.
Mair
P
,
de Leeuw
J
,
Groenen
PJF
.
Package “Gifi”: multivariate analysis with optimal scaling
.
2022
[Internet] [cited 2024 Sep 28]. Available from: https://cran.r-project.org/web/packages/Gifi/Gifi.pdf
22.
Schumacker
R
,
Lomax
R
.
A beginner’s guide to structural equation modeling
.
New York, NY
:
Taylor and Francis
;
2010
.
23.
R Core Team
.
R: a language and environment for statistical computing
.
2022
[Internet] [cited 2024 Sep 28]. Available from: https://www.r-project.org/
24.
Rosseel
Y
.
lavaan: an R package for structural equation modeling
.
J Stat Softw
.
2012
;
48
(
2
):
1
36
.
25.
Revelle
W
.
Package “psych”: procedures for psychological, psychometric, and personality research
.
2024
[Internet] [cited 2024 Sep 28]. Available from: https://cran.r-project.org/web/packages/psych/psych.pdf
26.
Epskamp
S
,
Stuber
S
,
Nak
J
,
Veenman
M
,
Jorgensen
TD
.
Package “semPlot”: path diagrams and visual analysis of various SEM packages’ output
.
2022
[Internet] [cited 2024 Sep 28]. Available from: https://cran.r-project.org/web//packages/semPlot/semPlot.pdf
27.
Hu
LT
,
Bentler
PM
.
Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives
.
Struct Equ Model
.
1999
;
6
(
1
):
1
55
.
28.
Jackson
DL
.
Sample size and number of parameter estimates in maximum likelihood confirmatory factor analysis: a Monte Carlo investigation
.
Struct Equ Model
.
2001
;
8
(
2
):
205
23
.
29.
Kline
RB
.
Principles and practice of structural equation modeling
. 3rd ed.
New York, NY
:
The Guilford Press
;
2011
.
30.
Sörbom
D
.
Model modification
.
Psychometrika
.
1989
;
54
(
3
):
371
84
.
31.
MacCallum
R
,
Roznowski
M
,
Necowitz
L
.
Model modifications in covariance structure analysis: the problem of capitalization on chance
.
Psychol Bull
.
1992
;
111
(
3
):
490
504
.
32.
Löve
J
,
Andersson
L
,
Moore
CD
,
Hensing
G
.
Psychometric analysis of the Swedish translation of the WHO well-being index
.
Qual Life Res
.
2014
;
23
(
1
):
293
7
.
33.
Lucas‐Carrasco
R
.
Reliability and validity of the Spanish version of the World health organization-five well-being index in elderly
.
Psychiatry Clin Neurosci
.
2012
;
66
(
6
):
508
13
.
34.
Adjorlolo
S
,
Anum
A
.
Positive and negative psychosis risk symptoms among adolescents in Ghana
.
Int J Adolesc Youth
.
2021
;
26
(
1
):
307
20
.
35.
Cosma
A
,
Költő
A
,
Chzhen
Y
,
Kleszczewska
D
,
Kalman
M
,
Martin
G
.
Measurement invariance of the WHO-5 well-being index: evidence from 15 European countries
.
Int J Environ Res Public Health
.
2022
;
19
(
16
):
9798
.
36.
de Wit
M
,
Pouwer
F
,
Gemke
RJBJ
,
Delemarre-van de Waal
HA
,
Snoek
FJ
.
Validation of the WHO-5 Well-Being Index in adolescents with type 1 diabetes
.
Diabetes Care
.
2007
;
30
(
8
):
2003
6
.
37.
Low
KY
,
Pheh
KS
,
Tan
CS
.
Validation of the WHO-5 as a screening tool for depression among young adults in Malaysia
.
Curr Psychol
.
2023
;
42
(
10
):
7841
4
.
38.
Dadfar
M
,
Momeni Safarabad
N
,
Asgharnejad Farid
AA
,
Nemati Shirzy
M
,
Ghazie pour Abarghouie
F
.
Reliability, validity, and factorial structure of the World health organization-5 well-being index (WHO-5) in Iranian psychiatric outpatients
.
Trends Psychiatry Psychother
.
2018
;
40
(
2
):
79
84
.
39.
Diener
E
.
Assessing subjective well-being: progress and opportunities
.
Soc Indic Res
.
1994
;
31
(
2
):
103
57
.
40.
Christensen
KS
,
Haugen
W
,
Sirpal
MK
,
Haavet
OR
.
Diagnosis of depressed young people--criterion validity of WHO-5 and HSCL-6 in Denmark and Norway
.
Fam Pract
.
2015
;
32
(
3
):
359
63
.
41.
Bisegger
C
,
Cloetta
B
,
von Rueden
U
,
Abel
T
,
Ravens-Sieberer
U
,
European Kidscreen Group
.
Health-related quality of life: gender differences in childhood and adolescence
.
Soz Praventivmed
.
2005
;
50
(
5
):
281
91
.
42.
Gaspar de Matos
M
,
Simões
C
,
Tomé
G
,
Silva
M
,
Gaspar
T
,
Diniz
JA
, et al
.
Aventura Social & Saúde indicadores de saúde de adolescentes portugueses: relatório preliminar HBSC 2006
.
Lisboa
:
Faculdade de Motricidade Humana
;
2007
.
43.
Hosker
DK
,
Elkins
RM
,
Potter
MP
.
Promoting mental health and wellness in youth through physical activity, nutrition, and sleep
.
Child Adolesc Psychiatr Clin N Am
.
2019
;
28
(
2
):
171
93
.
44.
Diener
E
,
Fujita
F
.
Resources, personal strivings, and subjective well-being: a nomothetic and idiographic approach
.
J Pers Soc Psychol
.
1995
;
68
(
5
):
926
35
.
45.
Singh
S
,
Roy
D
,
Sinha
K
,
Parveen
S
,
Sharma
G
,
Joshi
G
.
Impact of COVID-19 and lockdown on mental health of children and adolescents: a narrative review with recommendations
.
Psychiatry Res
.
2020
;
293
:
113429
.
46.
Racine
N
,
McArthur
BA
,
Cooke
JE
,
Eirich
R
,
Zhu
J
,
Madigan
S
.
Global prevalence of depressive and anxiety symptoms in children and adolescents during COVID-19: a meta-analysis
.
JAMA Pediatr
.
2021
;
175
(
11
):
1142
50
.
47.
Francisco
R
,
Branquinho
C
,
Noronha
C
,
Moraes
B
,
Rodrigues
NN
,
Gaspar de Matos
M
.
Insatisfeitos com a vida ou em risco de depressão? Um estudo com adolescentes do 3.o ciclo do ensino básico e do ensino secundário
. In:
Gaspar de Matos
M
,
Branquinho
C
,
Rodrigues
NN
, editors.
Observatório Escolar: Monitorização e Ação: Saúde Psicológica e Bem-estar
.
Lisboa
:
Observatório da Saúde Psicológica e do Bem-estar
;
2023
.
48.
McKelvie-Sebileau
P
,
Gerritsen
S
,
Swinburn
B
,
D’Souza
E
,
Tipene-Leach
D
.
Nourishing Hawke’s Bay: He wairua tō te kai–food security, health behaviours and wellbeing in children in regional New Zealand
.
J R Soc N Z
.
2022
;
52
(
4
):
357
75
.
49.
Pedro
M
,
Caldas
M
,
Penas
J
,
Marques
B
.
Impact of the COVID-19 pandemic on mental health in childhood and adolescence: the reality of a Portuguese school
.
Cureus
.
2022
;
14
(
9
):
e29049
.