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Revista Española de Sanidad Penitenciaria

versión On-line ISSN 2013-6463versión impresa ISSN 1575-0620

Rev. esp. sanid. penit. vol.21 no.3 Barcelona  2019  Epub 24-Feb-2020

https://dx.doi.org/10.4321/s1575-06202019000300004 

Original Articles

Mental health, positive affectivity and wellbeing in prison: a comparative study between young and older prisoners

Salud mental, afectividad positiva y bienestar en prisión: un estudio comparativo entre jóvenes y mayores presos

S Chiclana1  , R Castillo-Gualda2  , D Paniagua3  , R Rodríguez-Carvajal4 

1Cuerpo Superior de Instituciones Penitenciarias. Secretaría General de Instituciones Penitenciarias. Madrid.

2Docente en la Facultad de Educación y Salud. Universidad Camilo José Cela. Madrid.

3Docente en la Facultad de Psicología. Universidad de Complutense de Madrid. Madrid.

4Docente en la Facultad de Psicología. Universidad Autónoma de Madrid. Madrid.

ABSTRACT

Objectives

To explore sociodemographic, psychological and psychopathological characteristics, as well as to evaluate the behaviour in an inmate sample.

Materials and methods

There is a total sample of 182 young and elderly inmates of the Madrid III Prison. The investigation has been carried out with a battery of self-report psychological questionnaires and objective measurements obtained through the prison files. Comparisons of means were made to see if there are significant differences between the two groups (young and elderly inmates) in the variables analysed.

Results

The analysis shows that there are no significant differences in wellbeing between young and elderly inmates. However, young people have higher levels of psychological distress, more presence of negative emotions and have a more maladjusted behaviour in prison (they consume more cannabis and have more disciplinary records). Older people better regulate their emotions, adopt better the perspectives of others, showing themselves to be friendlier.

Conclusions

The elderly inmates in prison, compared with the youngest, have a better psychological adjustment, more internal resources and a better adaptation to the prison environment despite of no differences in related variables such as time in prison.

Keywords: young adult; aged; prisons; mental health; emotions

RESUMEN

Objetivos

Explorar las características sociodemográficas, psicológicas y psicopatológicas, así como evaluar la conducta de una muestra de internos.

Materiales y métodos

Se cuenta con una muestra total, entre jóvenes y mayores, de 182 internos del Centro Penitenciario Madrid III. La investigación se ha llevado a cabo con una batería de cuestionarios psicológicos de autoinforme y medidas objetivas obtenidas a través de los expedientes penitenciarios. Se realizaron comparaciones de las medias para ver si existen diferencias significativas entre los dos grupos (jóvenes y mayores) en las variables analizadas.

Resultados

El análisis muestra que no existen diferencias significativas en los niveles de bienestar de jóvenes y mayores. Sin embargo, los jóvenes muestran grados más elevados de malestar psicológico, presentan más emociones negativas y una conducta más desadaptada en la prisión (consumen más cannabis y tienen más expedientes disciplinarios). Las personas mayores regulan mejor sus emociones, adoptan mejor las perspectivas de otros, mostrándose además más amables.

Conclusiones

Las personas mayores que están en prisión, comparados con los más jóvenes, presentan un mejor ajuste psicológico, más recursos internos y un mejor nivel de adaptación al medio penitenciario, a pesar de no existir diferencias en variables asociadas como, por ejemplo, el tiempo en prisión.

Palabras clave: adulto joven; anciano; prisiones; salud mental; emociones

INTRODUCTION

Young adults and the elderly make up 23.11% and 4.26% of the prison population respectively1. Although they are not very numerous, they are a priority for the Prison Administration: both have specific intervention programmes regulated by a section of the Prison Regulations2, (Reglamento Penitenciario) for young adults and directives3, in the case of older prisoners.

There are few scientific publications in Spain on old age in the prison setting, and the most relevant study in this area was carried out in 2009 by the Secretary General of Prisons4, but it does not include any analysis of psychological variables. On an international level, research has focused specifically on the incidence of physical and mental diseases5-6, analysis of inmate needs7 and on problems of adaptation to the prison environment8-10. Few research studies have focused on variables such as stress and depression (see review 11), suicide12-13 or the symptoms of posttraumatic stress14. Nor is there are any research on wellbeing, psychological resources or the presence of positive emotions presented by older inmates. As for young adults, there is little in the way of research that explores individuals’ positive characteristics, what there is tends to focus more on recidivism and criminological needs15-16, misconduct in prison17-19 or the existence of psychopathological disorders20-21.

Studies on the prison environment show that older people have more mental and physical illnesses than the prison population under 60 years of age and elderly people who live in non-prison settings5 22-24. One third of older people in prison need help in their daily lives10, and the high prevalence of depression is linked to the presence of chronic diseases and the subjective perception of not being cared for according to one’s needs25. After natural death, suicide is the second most common cause of mortality amongst members of the Spanish prison population over 604. In view of this data, it would appear that older inmates’ quality of life and adaptation are worse than they are for young adults. However, the concept of health proposed by Keyes not only includes aspects related to sickness, but also wellbeing and other positive aspects of a person. The studies have also compared older adults over 60 to the rest of the population, but not to the youngest members of the institution, who form a collective with certain psychological characteristics and specific problems of adaptation to prison life26.

Studies of the population outside prison show that despite old age bringing about a physical and mental decline, there are no significant differences in terms of subjective wellbeing and satisfaction with life that depend on age27-28. Furthermore, no differences are observed between the elderly who live at home and those who live in retirement homes29. Mazquez-Gonzalez et al. 30 conclude that older people are more able to control their emotions and optimise their emotional experiences, and that the number of negative emotions decreases with age while the positive ones are maintained, and may even increase. The prison sample has shown that the elderly present lower levels of psychological distress31, and fewer symptoms of posttraumatic stress14. This contradicts the myth that the elderly are unhappier than young people and may be explained by the socioemotional theory proposed by Carstensen32-34. This model states that elderly people are more selective about choosing their interactions so as to optimise their emotional regulation processes and so create greater wellbeing. Furthermore, time is perceived as limited and goals are more adequately selected in order to maximise satisfaction with life, by doing things such as improving the relationships they consider to be interesting35-38. This selection process enables negative emotions to be less frequent and the positive ones to be boosted.

This study sets out to explore the mental health, wellbeing, emotions and adaptation to the prison environment of the youngest and oldest prison inmates. In line with Carstensen’s theoretical socioemotional model, the hypothesis is put forward that the elderly in prison present more positive emotions and less negative ones, higher levels of wellbeing and better adaptation to prison, in comparison to the group of young inmates.

MATERIAL AND METHOD

Participants

The sample was made up of 182 inmates of the Madrid III Prison: 94 of them were under 30 years of age; and 88 were over 50. All the participants were male, as this prison does not house female inmates. Although the Prison Regulations (Reglamento Penitenciario) considers young people to be those up to 21 years of age and, exceptionally, up to 25, inmates of up to 29 were also included, because the Prisons Treatment Programme (Programa de tratamiento de Instituciones Penitenciaras) includes participants in this age range. As regards the older population, international studies with the elderly in prison usually include inmates from 50 years of age upwards, as the physical and mental health of an inmate at this age is considered to be equivalent to about 10 to 15 years more than a person living in the community39-41.

Procedure

The prison computer system (SIP, in Spanish) was used to select all the inmates under 30 years of age and those over 50 in Madrid III Prison. The inclusion criterion is therefore age, since there are no exclusion criteria. An information meeting was held with all the young and elderly inmates of the prison in which they were informed that research was going to be carried out to study the psychological characteristics of the inmates according to age. They were informed that the data would be processed anonymously, and that it was necessary to sign an informed consent to participate. They were told about all the relevant information to be collected in the study and they were informed of their rights and obligations as participants. It was also mentioned that the data would be obtained by completing a self-report questionnaire and from their prison records. Of the total population of young and elderly inmates (296), 182 finally gave their consent. 94 of those were young adults from 18 to 29 years of age, and 88 were elderly inmates of 50 years.

This is a non-experimental transectional descriptive research project, of natural groups, the independent variable of which is age.

This research project received permission from the Support Unit of the Secretary General of Spanish Prisons.

Below are the dependent variables included in the study and the way in which they have been measured:

  • Socio-demographic and mental health variables: age, nationality, marital status, number of offspring, educational level, profession, drug consumption psychiatric background (measured via an ad hoc questionnaire).

  • Prison variables: the length of stay in prison, the number of disciplinary proceedings and penalties were obtained from the prison records.).

  • Psychological variables (collected with self-report tests):

    - Wellbeing: measured using the Psychological Wellbeing Questionnaire42-43: made up of 29 items in a Likert five option format. The following are evaluated: self-acceptance, personal growth, purpose in life, positive relationships, environmental mastery and autonomy.).

    - Psychological distress: evaluated via the Brief Symptom Inventory (BSI) 44-45 , made up of 53 items, which measure the psychopathological state of the subjects with a five-point Likert scale. It consists of the following scales: somatisation, obsession-compulsion, sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, psychoticism and a global score.

    - Emotions: The Positive and Negative Affect Schedule, (PANAS)46-47 is used to measure negative and positive affect in two scales of ten items, evaluating the affects overall and in the final week.

    - Personality: The Big Five Inventory (BFI)48, made up of 44 items, is used with a five-point Likert scale of answers to measure neuroticism, extroversion, openness to experience, kindness and responsibility.

    - Emotional intelligence: evaluated using the profile of emotional competence (PEC)49-50. Contains the self-awareness of intrapersonal and interpersonal emotional competences. Consists of 50 items distributed on a Likert scale with a range of 1-5.

    - Problem-solving capacity: evaluated using the Social Problem Solving Inventory-Revised (SPSI-R)51-52. Consists of 25 items on a Likert scale from 0 to 4. In this study, the scales that evaluate rational problem solving and the impulsivity/ carelessness style were used.

    - Resilience: measures using the brief resilience scale (BRS)53-54, a self-reporting instrument of six items that are scored on a five-point Likert scale.

    - Coping strategies: uses the coping strategies scale called Situated Coping Questionnaire for Adults, SCQA 55, made up of 40 items with a five-point Likert scale. The strategies of rumination, emotional expression, self-blaming, self-isolation, thinking avoidance, help-seeking, problem solving and positive thinking in different situations are assessed.

    - Perceived social support: the subjective social support of family and friends was analysed using the perceived social support scale 56-57, which consists of ten items on a Likert scale, with scores from 1 to 4.

    - Empathy: empathy is assessed using the interpersonal reactivity index (IRI)58-59, including cognitive and emotional factors via 28 items, with a 5-point Likert scale. The dimensions of perspective-taking and concern were used for this study.

    - Self-esteem: evaluated using the self-esteem scale 60-61, consisting of ten items scored from 1 to 4 on a Likert scale.

    - Personality disorders: only the screening questions for antisocial and borderline personality disorder from the assessment questionnaire (International Personality Disorder Examination, IPDE)62 were used.

The two samples were compared using the Chi-square test (χ2) for the categorical variables while Student’s t-test was used for the continuous variables.

RESULTS

The socio-demographic characteristics of the sample Table 1 more inmates with Spanish nationality (χ2=8.49 (3); p=0.037) and a larger number of graduates (χ2=9.99; p=.019) amongst the elderly. There are more single people amongst the young adults, and more married persons and divorcees amongst the older inmates (χ2=39.72; p <.001), who also have more offspring (χ2=31.24; p <.001). Finally, older inmates have paid more Social Security contributions (t(73.96)=4.14; p <.001).

Table 1 Socio-demographic variables 

Age ≤30 Age ≥50
M (d.t.)/% M (d.t.)/% t/c2 (gl) p
1. Age 26.15 (2.20) 55.85 (5.36) 48.48 (115.48) <0.001 *
2. Nationality 8.49 (3) 0.037†
2.1. Spanish 52.10% 70.80%
2.2. Rest of Europe 12.80% 12.10%
2.3. Latin America 23.40% 11.40%
2.4. Other countries 11.70% 5.70%
3. Educational level 9.99 (3) 0.019†
3.1. Uncompleted primary 25.50% 30.30%
3.2. Completed primary 21.30% 12.40%
3.3. Secondary 42.60% 33.70%
3.4. University 8.50% 23.60%
4. Marital status 39.72 (3) <0.001*
4.1. Single 61.70% 19.10%
4.2. Married 28.70% 40.40%
4.3. Divorced 8.50% 38.20%
4.4. Widowers 1.10% 2.20%
5. Number of offspring 31.24 (2) <0.001*
5.1. No children 34.00% 6.70%
5.2. One child 23.40% 19.10%
5.3. Two or more children 42.60% 74.20%
6. Psychiatric background 77.70% 86.50% 1.63 (1) 0.201
7. Time in prison (months) 36.57 (49.33) 49.08 (75.90) 1.27 (138.92) 0.205
8. Years of SS contributions 3.36 (6.81) 23.77 (40.47) 4.13 (73.96) <0.001*

Note. *p <0,01; †p <0,05; M(d.t)/%: media (desviacion tipica)/porcentaje; t/χ2 (gl): t student/chi cuadrado (grados de libertad); p: indice de significacion

Young inmates stand out for having higher scores in the global variable of psychological distress (t(178.94)=2.75; p=.006; d=.41), and in the sub-scales of obsession -compulsion (t(181)=2.41; p=.017; d=.36), anxiety t(168.94=3.99; p <.001; d=.59), aggressiveness- hostility (t(173.73)=2.87; p=.005; d=.42), phobic anxiety (t(167.13)=3.22; p=.002; d=.47), paranoid ideation (t(175.90)=3.29; p=.001; d=.49) and psychoticism (t(179.15)=2.07; p=.040; d=.40). They also regularly present more negative affects (t(181)=2.35; p=.020; d=.35). Older inmates have higher scores than young ones in variables of emotional regulation (t(181)=2.07; p=.040; d=.31), in empathic perspective taking (t(181)=2.09; p=.038; d=.31) and in the variable of agreeableness (t(181)=2.45; p=.015; d=.36) (Table 2).

Table 2 Medidas de salud mental 

Age ≤ 30 Age ≥ 50
M d.t. M d.t. t-student gl p d-cohen
1. Psychological wellbeing
1.1.Self-acceptance 16.68 5.35 16.80 5.63 -0.14 181.00 0.886 -0.02
1.2. Positive relationships 15.60 4.84 16.97 5.03 -1.88 181.00 0.062 -0.28
1.3. Autonomy 17.44 5.31 18.70 5.93 -1.52 181.00 0.131 -0.22
1.4. Environmental mastery 18.50 4.54 19.12 5.00 -0.88 181.00 0.377 -0.13
1.5. Personal growth 17.32 4.32 17.58 4.79 -0.39 181.00 0.694 -0.06
1.6. Purpose in life 22.23 5.92 22.37 6.72 -0.15 181.00 0.884 -0.02
1.7. Total 107.77 22.06 111.54 26.92 -1.04 181.00 0.300 -0.15
2. Psychological distress
2.1. Somatisation 3.78 4.50 3.17 3.93 0.97 181.00 0.333 0.14
2.2. Obsession-compulsion 5.40 4.93 3.78 4.17 2.41 181.00 0.017* 0.36
2.3. Depression 5.40 4.94 4.47 4.75 1.30 181.00 0.195 0.19
2.4. Anxiety 4.95 4.58 2.63 3.17 3.99 165.94 0.000† 0.59
2.5. Aggressiveness-hostility 3.39 3.66 2.01 2.81 2.87 173.73 0.005† 0.42
2.6. Phobic anxiety 2.35 2.81 1.19 2.02 3.22 169.13 0.002† 0.47
2.7. Paranoid ideation 2.56 2.64 1.40 2.10 3.29 175.90 0.001† 0.49
2.8. Interpersonal sensitivity 1.89 2.69 1.25 1.94 1.87 169.31 0.063 0.28
2.9. Psychoticism 3.47 3.38 2.51 2.89 2.07 179.15 0.040* 0.31
2.10. Total 37.84 31.55 25.94 26.80 2.75 178.94 0.006† 0.41
3. Affectivity
3.1. Positive affects final week 30.99 11.00 28.09 11.16 1.77 181.00 0.079 0.26
3.2. Negative affects final week 17.38 6.79 15.61 7.41 1.69 181.00 0.093 0.25
3.3. Positive affects generally 31.02 11.91 27.69 12.38 1.86 181.00 0.065 0.27
3.4. Negative affects generally 17.20 8.24 14.46 7.50 2.35 181.00 0.020* 0.35
4. Problem solving
4.1. Rational problem solving 12.85 5.90 14.27 5.18 -1.73 181.00 0.086 -0.26
4.2. Careless/impulsive style 5.67 3.88 5.69 4.18 -0.03 181.00 0.980 0.00
5. Emotional intelligence
5.1. Intrapersonal emotional competence
5.1.1. Identification of emotions 19.02 7.78 20.92 7.05 -1.73 181.00 0.086 -0.26
5.1.2. Understanding of emotions 20.35 6.29 20.83 6.41 -0.51 181.00 0.609 -0.08
5.1.3. Expression of emotions 18.36 4.93 19.33 4.67 -1.36 181.00 0.177 -0.20
5.1.4. Regulation of emotions 22.86 7.76 25.10 6.83 -2.07 181.00 0.040* -0.31
5.1.5. Use of emotions 17.99 7.39 19.54 6.89 -1.47 181.00 0.145 -0.22
5.2. Interpersonal emotional competence
5.2.1. Identification of other people's emotions 20.31 4.50 20.15 4.88 0.23 181.00 0.815 0.03
5.2.2. Understanding of other people's emotions 18.35 3.95 18.42 3.98 -0.11 181.00 0.912 -0.02
5.2.3. Empathy with other people's emotions 13.66 3.76 13.85 3.85 -0.35 181.00 0.730 -0.05
5.2.4. Regulation of other people's emotions 16.97 7.39 18.70 6.86 -1.64 181.00 0.103 -0.24
5.2.5. Use of other people's emotions 12.26 6.66 11.57 6.39 0.71 181.00 0.481 0.10
6. Empathy
6.1. Perspective taking 16.54 4.37 17.91 4.47 -2.09 181.00 0.038* -0.31
6.2. Empathic concern 21.74 5.50 22.30 5.53 -0.69 181.00 0.494 -0.10
6.3. Total 38.29 8.10 40.21 8.61 -1.56 181.00 0.121 -0.23
7. Resilience
7.1. Resilience 19.43 4.97 20.65 4.31 -1.78 181.00 0.077 -0.26
8. Self-esteem
8.1. Self-esteem 18.77 5.56 19.22 4.77 -0.60 181.00 0.551 -0.09
9. Perceived social support
9.1. Perceived social support 30.95 6.30 31.48 5.65 -0.61 181.00 0.546 -0.09
10. Personality
10.1. Extroversion 3.34 0.72 3.36 0.58 -0.18 171.51 0.859 -0.03
10.2. Agreeableness 3.79 0.59 3.99 0.51 -2.45 181.00 0.015* -0.36
10.3. Organised-conscientious 3.81 0.64 3.97 0.60 -1.68 181.00 0.096 -0.25
10.4. Neuroticism 2.45 0.67 2.32 0.60 1.34 181.00 0.183 0.20
10.5. Openness to experience 3.49 0.84 3.70 0.75 -1.81 181.00 0.072 -0.27
11. Coping strategies
11.1. Emotion-focused coping
11.1.1. Rumination 16.76 4.52 17.30 4.79 -0.80 181.00 0.427 -0.12
11.1.2. Emotional expression 12.93 4.19 12.58 4.41 0.54 181.00 0.592 0.08
11.1.3. Self-blaming 15.33 5.23 16.01 4.73 -0.92 181.00 0.357 -0.14
11.1.4. Total 45.01 11.27 45.90 11.95 -0.52 181.00 0.605 -0.08
11.2. Social-focused coping
11.2.1. Self-isolation 12.76 4.85 13.11 4.81 -0.50 181.00 0.618 -0.07
11.2.1. Help-seeking 14.00 4.99 14.58 4.48 -0.83 181.00 0.407 -0.12
11.2.3. Total 26.76 7.11 27.70 6.64 -0.92 181.00 0.357 -0.14
11.3. Problem-focused coping
11.3.1. Thinking avoidance 15.89 4.84 14.93 4.70 1.36 181.00 0.175 0.20
11.3.2. Problem solving 17.34 4.98 18.19 4.37 -1.23 181.00 0.222 -0.18
11.3.3. Positive thinking 19.74 5.27 20.33 4.61 -0.79 181.00 0.429 -0.12
11.3.4. Total 52.98 12.33 53.45 10.99 -0.27 181.00 0.786 -0.04
12. Personality disorders
12.1. Antisocial personality disorder 2.28 1.55 1.89 1.26 1.86 181.00 0.065 0.28
12.2. Borderline personality disorder 2.62 2.24 2.38 1.91 0.76 181.00 0.447 0.11

Note. Tamano del efecto (d-cohen):M1-M2 / desviacion estandar muestral promedio de las dos muestras.

Note. *p <0,01; †p <0,05; M(d.t)/%: media (desviacion tipica)/porcentaje; t/χ2 (gl): t student/chi cuadrado (grados de libertad); p: indice de significacion

The results for adaptation to the prison setting in (Table 3) show that young inmates receive more disciplinary proceedings (χ2=4.23; p=.05) and consume more cannabis (χ2=6.72; p=.01).

Table 3 Consumption of drugs and behaviour in prison 

Variable Young adults (94) Elderly (89) c2 (gl=1) p
Self-reported drug consumption
Alcohol 14 (14.90%) 8 (9.00%) 1.50 0.22
Cannabis 17 (18.10%) 5 (5.60%) 6.72 0.01*
Cocaine 3 (3.20%) 2 (2.20%) 0.15 0.65
Heroin 1 (1.10%) 0 (0.00%) 0.95 0.32
Tranquilisers 27 (28.70%) 25 (28.10%) 0.01 0.92
Amphetamines 1 (1.10%) 1 (1.10%) 0.00 0.96
Designer drugs 2 (2.10%) 1 (1.10%) 0.29 0.59
At least one substance 45 (47.90%) 35 (39.30%) 1.36 0.24
Behaviour in prison
Penalties 4 (4.30%) 3 (3.40%) 0.10 0.75
Disciplinary proceedings 14 (14.90%) 5 (5.60%) 4.23 0.05†

Note. *p <,01; †p <,05; χ2 (gl=1): chi cuadrado (grados de libertad=1)

DISCUSSION AND CONCLUSIONS

Firstly, the results of this study show that young people show higher levels of psychological distress, especially in anxiety, and that negative emotions are more common. However, there are no differences in levels of wellbeing. These results match Keyes’ complete state model of mental health63-64, where wellbeing and distress are two related but mutually independent dimensions65. This data also corroborates Carstensen’s socioemotional theory and the research carried out on the non-prison population28 30 66-67. International research on prisons31, has brought to light similar results, which are shown here for the first time in Spain. What is striking is that Carstensen’s findings can be observed in prison samples, since the presence of physical and mental disease and low participation in daily activities are more marked than in samples in the community.

The results also show that inmates of 50 or more years of age regulate their emotions better, are more competent in seeing other people’s points of view and are more agreeable and respectful. This study supports previous ones that show that the elderly have greater ability in managing emotions when compared to young adults68. Results taken from the non-prison population also support the notion that older people have more orientation towards others than young people69, although there is no previous research comRev paring this phenomenon in the prison setting. The non-existence of significant differences in perceived social support strikes a contrast with research that has highlighted less perceived support amongst the elderly4 70, although it does match a study carried out in Madrid VI71, Prison, in which 71% of inmates of 60 years of age defined their family relationships as good or very good, and 86.67% stated that they maintained strong links with other members of the family or friends.

In line with Carstensen’s theoretical model, it is likely that older people maintain fewer relationships with others, but the quality they give to them leads to there being no difference between the perceived social support of young adults and older people. In this context, a research study that analysed social relationships according to age in the prison and non-prison populations showed that all the older people, prisoners and general public, had fewer but closer relationships72.

The level of adaptation to surroundings showed more cannabis consumption and more disciplinary proceedings amongst young adults, which would indicate that they are less well adapted to prison. It seems logical that those who present a higher degree of psychological distress and more negative emotions consume more drugs and commit more offences, perhaps as a fruitless strategy to reduce their levels of anxiety. The data shows a reality that matches the literature: the behaviour of young people is more disruptive73-74 and they consume more drugs75-76, which are types of behaviour frequently seen amongst older inmates4 71.

Time spent in prison does not seem to be a variable that influences psychological states or adaptation to surroundings, since, as shown above, the average length of stay in prison in these cases is very similar for both young and older inmates and despite this there are differences between the two groups. This data also matches other studies carried out in Spain77.. On the other hand, it should be pointed out that the results for the socio-demographic situation are similar to those of other researchers for older people4 and young adults78 in prison. Other research studies have repeatedly shown that the environments that inmates come from are unfavourable, with few opportunities for education or to access skilled work.

This study provides further knowledge about the characteristics of young and older inmates in prison, in particular in the Madrid III Prison. A more exhaustive analysis of the psychological profile and other behavioural variables shows that the psychological functioning of older inmates in comparison to that of inmates of 30 years of age is better than what might be expected according to the research carried out on this type of population. The differences observed may be determined because most studies have measured the quality of life and levels of wellbeing, including the incidence of physical and mental diseases, without exploring psychosocial variables. However, health should be understood as a complete state of physical, mental and social wellbeing, and not just as the absence of distress or disease79.

This work has some limitations. Firstly, the characteristics of the sample: they are all male and from one single prison. On the other hand, the use of selfreporting resources to assess psychopathological and personality disorders show low levels of reliability, and so it would be interesting to have resources that are adapted to this type of population.

The findings shown here have important repercussions for prison treatment. The psychological imbalances, combined with cannabis consumption, gives an idea of the vulnerable mental health of young adults health. To date the therapeutic intervention habitually practiced with young people80, the Prosocial thinking programme (Programa de pensamiento prosocial), only covers cognitive skills. The results obtained from this study indicate that it would be highly recommendable for treatment programmes to include units to work on other skills that enable young adults to improve their wellbeing and reduce psychopathological symptoms, by developing and boosting their emotional skills, personal resources and variables, and focusing on personal development and growth.

REFERENCES

1. Ministerio del Interior. Estadística penitenciaria. (Internet). (fecha de acceso 29 Mar 2018). Disponible en: http://www.institucionpenitenciaria.es/web/portal/documentosLinks ]

2. Ministerio de Justicia e Interior. Real Decreto 190/1996, de 9 de febrero, por el que se aprueba el Reglamento Penitenciario. BOE. 15 Feb 1996;40:5380-435. [ Links ]

3. Ministerio del Interior. Instrucción 8/2011 TyGP del Ministerio del Interior sobre Atención Integral a las Personas Mayores en el Medio Penitenciario. (Internet). Ministerio del Interior. Secretaría General de Instituciones; 2011. (fecha de acceso 15 Abr 2018). Disponible en: http://www.institucionpenitenciaria.es/web/export/sites/default/datos/descargables/instruccionesCirculares/CIRCULAR_8-2011.pdfLinks ]

4. Andujar S, Barrios LF, Cáceres JM, Lerín F, Martín M. Análisis de la ancianidad en el medio penitenciario. Madrid: Ministerio del Interior. Secretaría General de Instituciones Penitenciarias; 2009. [ Links ]

5. Fazel S, Hope T, O'Donnell I, Piper M, Jacoby R. Health of elderly male prisoners: worse than the general population, worse than younger prisoners. Age ageing. 2001;30:403-7. [ Links ]

6. Kingston P, Le Mesurier N, Yorston G, Wardle S, Heath L. Psychiatric morbidity in older prisoners: unrecognized and undertreated. Int Psychogeriatr. 2011;23:1354-60. [ Links ]

7. O'Hara K, Forsyth K, Webb R, Senior J, Hayes AJ, Challis D, et al. Links between depressive symptoms and unmet health and social care needs among older prisoners. Age ageing. 2016;45:158-63. [ Links ]

8. Crawley E, Sparks R. Is there life after imprisonment? How elderly men talk about imprisonment and release. Criminol Crimin Justic. 2006;6:63-82. [ Links ]

9. Potter E, Cashin A, Chenoweth L, Jeon YH. The healthcare of older inmates in the correctional setting. Int J Prison Health. 2007;3:204-13. [ Links ]

10. Hayes AJ, Burns A, Turnbull P, Shaw JJ. The health and social needs of older male prisoners. Int J Geriatr Psych. 2012;27:1155-62. [ Links ]

11. Baidawi S, Trotter C. Psychological distress among older prisoners: a literature review. J Forensic Soc Work. 2016;5:234-57. [ Links ]

12. Barry LC, Wakefield DB, Trestman RL, Conwell Y. Disability in prison activities of daily living and likelihood of depression and suicidal ideation in older prisoners. Int J Geriatr Psych. 2017;32:11419. [ Links ]

13. Pratt D, Piper M, Appleby L, Webb R, Shaw J. Suicide in recently released prisoners: a population-based cohort study. Lancet. 2006;368:119-23. [ Links ]

14. Maschi T, Gibson S, Zgoba KM, Morgen K. Trauma and life event stressors among young and older adult prisoners. J Correct Health Car. 2011;17:160-72. [ Links ]

15. Redondo S, Andrés-Pueyo A. La psicología de la delincuencia. Papeles psicólogo. 2007;28:147-56. [ Links ]

16. Andrews D, Bonta J. The Psychology of Criminal Conduct. 5ª ed. Cincinnati: Anderson Publishing Co; 2010. [ Links ]

17. Steiner B, Butler HD, Ellison JM. Causes and correlates of prison inmate misconduct: A systematic review of the evidence. J Crim Just. 2014;42:462-70. [ Links ]

18. Cihan A, Sorensen J, Chism KA. Analyzing the offending activity of inmates: Trajectories of offense seriousness, escalation, and de-escalation. J Crim Just. 2017;50:12-8. [ Links ]

19. Valentine CL, Mears DP, Bales WD. Unpacking the relationship between age and prison misconduct. J Crim Just. 2015;43:418-27. [ Links ]

20. Rösler M, Retz W, Retz-Junginger P, Hengesch G, Schneider M, Supprian T, et al. Prevalence of attention deficit-/hyperactivity disorder (ADHD) and comorbid disorders in young male prison inmates. Eur Arch Psychiatry Clin Neurosci. 2004;254:365-71. [ Links ]

21. Teplin LA, Abram KM, McClelland GM, Dulcan MK, Mericle AA. Psychiatric disorders in youth in juvenile detention. Arch Gen Psychiat. 2002;59:1133-43. [ Links ]

22. Baillargeon J, Black SA, Pulvino J, Dunn K. The disease profile of Texas prison inmates. Ann Epidemiol. 2000;10:74-80. [ Links ]

23. Binswanger IA, Krueger PM, Steiner JF. Prevalence of chronic medical conditions among jail and prison inmates in the USA compared with the general population. J Epidemiol Community Health. 2009;63:912-9. [ Links ]

24. Davoren M, Fitzpatrick M, Caddow F, Caddow M, O'Neill C, O'Neill H, et al. Older men and older women remand prisoners: mental illness, physical illness, offending patterns and needs. Int Psychogeriatr. 2015;27:747-55. [ Links ]

25. Murdoch N, Morris P, Holmes C. Depression in elderly life sentence prisoners. Int J Geriatr Psychiatry. 2008;23:957-62. [ Links ]

26. Harris F, Hek G, Condon L. Health needs of prisoners in England and Wales: the implications for prison healthcare of gender, age and ethnicity. Health Soc Care Community. 2007;15:56-66. [ Links ]

27. Fernández-Ballesteros R. Active aging: The contribution of psychology. Gottinger: Hogrefe Publishing; 2008. [ Links ]

28. Charles ST, Carstensen LL. Social and emotional aging. Annu Rev Psychol. 2010;61:383-409. [ Links ]

29. Fernández-Ballesteros R, Zamarrón MD, Maciá A. Calidad de vida en la vejez en distintos contextos. Madrid: INSERSO; 1996. [ Links ]

30. Márquez-Gónzalez M, Izal M, Montorio I, Pérez G. Emoción en la vejez: una revisión de la influencia de los factores emocionales sobre la calidad de vida de las personas mayores. Rev Esp Geriatr Gerontol. 2004;39:46-53. [ Links ]

31. Baidawi S. Older prisoners: psychological distress and associations with mental health history, cognitive functioning, socio-demographic, and criminal justice factors. Int Psychogeriatr. 2016;28:385-95. [ Links ]

32. Carstensen LL. Motivation for social contact across the life span: A theory of socioemotional selectivity. Nebr Symp Motiv. 1993;40:209-54. [ Links ]

33. Carstensen LL, Isaacowitz DM, Charles ST. Taking time seriously: A theory of socioemotional selectivity. Am Psychol. 1999;54:165-81. [ Links ]

34. Carstensen LL. The influence of a sense of time on human development. Science. 2006;312:1913-5. [ Links ]

35. Carstensen LL. Social and emotional patterns in adulthood: support for socioemotional selectivity theory. Psychol Aging. 1992;7:331-8. [ Links ]

36. Carstensen LL, Fredrickson BL. Influence of HIV status and age on cognitive representations of others. Health Psychol. 1998;17:494-503. [ Links ]

37. Fredrickson BL, Carstensen LL. Choosing social partners: How old age and anticipated endings make people more selective. Psychol Aging. 1990;5:335-47. [ Links ]

38. Gross JJ, Carstensen LL, Pasupathi M, Tsai J, Skorpen CG, Hsu AY. Emotion and aging: Experience, expression, and control. Psychol Aging. 1997;12:590-9. [ Links ]

39. Morton JB. An administrative overview of the older inmate. Washington, DC: National Institute of Corrections; 1992. [ Links ]

40. Anno BJ, Graham C, Lawrence JE, Shansky R, Bisbee J, Blackmore J. Correctional health care: Addressing the needs of elderly, chronically ill, and terminally ill inmates. Middletown, CT: Criminal Justice Institute; 2004. [ Links ]

41. Mitka M. Aging prisoners stressing health care system. JAMA. 2004;292:423-4. [ Links ]

42. Ryff CD. Happiness is everything, or is it? Explorations on the meaning of psychological wellbeing. J Pers Soc Psychol. 1989;57:1069-81. [ Links ]

43. Díaz D, Rodríguez-Carvajal R, Blanco A, Moreno-Jiménez B, Gallardo I, Valle C, et al. Adaptación española de las escalas de bienestar psicológico de Ryff. Psicothema. 2006;18:572-7. [ Links ]

44. Derogatis LR, Melisaratos N. The brief symptom inventory: an introductory report. Psychol Med. 1983;13:595-605. [ Links ]

45. Aragón N, Bragado MC, Carrasco I. Fiabilidad y estructura factorial del "Inventario breve de síntomas" (Brief Symptom Inventory, BSI) en adultos. Psicol Conduct. 2000;8:73-83. [ Links ]

46. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54:1063-70. [ Links ]

47. Sandín B, Chorot P, Lostao L, Joiner TE, Santed MA, Valiente RM. Escalas PANAS de afecto positivo y negativo: validación factorial y convergencia transcultural. Psicothema. 1999;11:37-51. [ Links ]

48. Benet-Martinez V, John OP. Los Cinco Grandes across cultures and ethnic groups: Multitrait-multimethod analyses of the Big Five in Spanish and English. J Pers Soc Psychol. 1998;75:729-50. [ Links ]

49. Brasseur S, Grégoire J, Bourdu R, Mikolajczak M. The profile of emotional competence (PEC): Development and validation of a self-reported measure that fits dimensions of emotional competence theory. Plos One. 2013;8:e62635. [ Links ]

50. Páez D, Puente A, Martínez F, Ubillos S, Filella G, Sánchez, F. Estructura del perfil de competencias emocionales (PEC) y su relación con el bienestar, la salud y el estrés laboral, así como con formas de regulación en una muestra española. En: Soler JL, Aparicio L, Chica O, Escolano E, Rodríguez A. Inteligencia Emocional y Bienestar II: reflexiones, experiencias profesionales e investigaciones. Zaragoza: Universidad San Jorge Ed; 2016. p. 676-89. [ Links ]

51. D'Zurilla TJ, Nezu A. Social problem solving in adults. En: Kendall PC, ed. Advances in cognitive-behavioral research and therapy. Vol. 1. New York: Academic Press; 1985. p. 201-74. [ Links ]

52. Maydeu-Olivares A, Rodriíguez-Fornells A, Gómez-Benito J, D'Zurilla TJ. Psychometric properties of the spanish adaptation of the social problem-solving inventory-revised (SPSI-R). Pers Indiv Differ. 2000;29:699-708. [ Links ]

53. Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15:194-200. [ Links ]

54. Rodríguez-Rey R, Alonso-Tapia J, Hernansaiz Garrido H. Reliability and Validity of the Brief Resilience Scale (BRS) Spanish Version. Psychol Assessment. 2015;28:101-10. [ Links ]

55. Alonso-Tapia J, Rodríguez-Rey R, Garrido-Hernansaiz H, Ruiz M, Nieto C. Coping assessment from the perspective of the person-situation interaction: Development and validation of the Situated Coping Questionnaire for Adults (SCQA). Psicothema. 2016;28:479-86. [ Links ]

56. Basabe N. Salud, Factores Psicosociales y Cultura. En: Páez D, Fernandez I, Ubillos S, Zubieta E, eds. Psicología social, cultura y educación. Madrid: Pearson; 2004. p. 891-913. [ Links ]

57. Altamirano Z. El bienestar psicológico en prisión: antecedentes y consecuencias. Tesis doctoral. Madrid: Dpto. de Psicología Biológica y de la Salud. Facultad de Psicología. Universidad Autónoma de Madrid; 2013. [ Links ]

58. Davis MH. A multidimensional approach to individual differences in empathy. JSAS Catalog Sel Doc Psychol. 1980;10.85:1-17. [ Links ]

59. Pérez-Albéniz A, De Paúl J, Etxeberría J, Montes MP, Torres E. Adaptación de interpersonal reactivity index (IRI) al español. Psicothema. 2003;15:267-72. [ Links ]

60. Rosenberg M. La autoimagen del adolescente y la sociedad. Buenos Aires: Paidós; 1965. [ Links ]

61. Vázquez-Morejón AJ, Jiménez R, Vázquez-Morejón R. Escala de autoestima de Rosenberg: fiabilidad y validez en población clínica española. Apuntes Psicol. 2004;22:247-55. [ Links ]

62. Organización Mundial de la Salud. I.P.D.E. Examen internacional de los trastornos de la personalidad. Módulo C.I.E.-10 Madrid: Meditor; 1996. [ Links ]

63. Keyes CL. The mental health continuum: From languishing to flourishing in life. J Health Soc Behav. 2002;43:207-22. [ Links ]

64. Keyes CL. Mental illness and/or mental health? Investigating axioms of the complete state model of health. J Consult Clin Psych. 2005;73:539-48. [ Links ]

65. Avia MD, Vázquez C. Optimismo inteligente. Madrid: Alianza Editorial; 2018. [ Links ]

66. Hudson NW, Lucas RE, Donnellan MB. Getting older, feeling less? A cross-sectional and longitudinal investigation of developmental patterns in experiential well-being. Psychol Aging. 2016;31:847-61. [ Links ]

67. Fernandez Ballesteros R, Ruiz MA, Garde S. Emotional expression in healthy women and those with breast cancer. Brit J Health Psych. 1998;3:41-50. [ Links ]

68. Chen Y, Peng Y, Fang P. Emotional intelligence mediates the relationship between age and subjective well-being. Int J Aging Hum Dev. 2016;83:91-107. [ Links ]

69. Cardenal V, Fierro A. Sexo y edad en estilos de personalidad, bienestar social y adaptación social. Psicothema. 2001;13:118-26. [ Links ]

70. De Smet S, De Donder L, Ryan D, Van Regenmortel S, Brosens D, Vandevelde S. Factors related to the quality of life of older prisoners. Qual Life Res. 2017;26:1571-85. [ Links ]

71. Pastor E, Torres M. Administración penitenciaria en España ante las necesidades de las personas mayores. Rev Venez Gerenc. 2017;22:137-56. [ Links ]

72. Bond GD, Thompson LA, Malloy DM. Lifespan differences in the social networks of prison inmates. Int J Aging Hum Dev. 2005;61:161-78. [ Links ]

73. Kuanliang A, Sorensen JR, Cunningham MD. Juvenile inmates in an adult prison system: Rates of disciplinary misconduct and violence. Crim Justice Behav. 2008;35:1186-201. [ Links ]

74. Blowers AN, Blevins KR. An examination of prison misconduct among older inmates. J Crim Just. 2014;38:96-112. [ Links ]

75. Arndt S, Turvey CL, Flaum M. Older offenders, substance abuse, and treatment. Am J Geriatric Psychiat. 2002;10:733-9. [ Links ]

76. Omolade, S. The needs and characteristics of older prisoners: Results from the Surveying Prisoner Crime Reduction (SPCR) survey. Analytical summary. London: Ministry of Justice; 2014. [ Links ]

77. Kirchner T. Estrategias de afrontamiento y nivel de psicopatología en jóvenes presidiarios: relación con el tiempo de reclusión y situación penitenciaria. Acción psicológica. 2003;2:199-211. [ Links ]

78. López MJ, Garrido V. La psicología de la delincuencia juvenil: explicación y predicción. En: Garrido V. Manual de intervención educativa en readaptación social. Valencia: Tirant lo Blanch; 2005. p. 47-73. [ Links ]

79. Organización Mundial de la Salud. Constitución de la Organización Mundial de la Salud (Internet). OMS; 1948. (Actualizada en: Documentos básicos. 48ª ed. OMS; 2014. p. 1-18). (fecha de acceso 20 Abr 2018). Disponible en: https://apps.who.int/gb/bd/ PDF/bd48/basic-documents-48th-edition-sp.pdfLinks ]

80. Corrochano G, Espartero P. Intervención con jóvenes en prisión. Infanc Juvent Ley. 2013;4:30-8. [ Links ]

Received: June 18, 2018; Accepted: March 27, 2019

Correspondence: Raquel Rodríguez-Carvajal Facultad de Psicología. Universidad Autónoma de Madrid. 28049 Madrid. E-mail: raquel.rodriguez@uam.es

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