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Article

Relationship between Sports Practice, Physical and Mental Health and Anxiety–Depressive Symptomatology in the Spanish Prison Population

by
María Penado Abilleira
1,
María-Paula Ríos-de-Deus
2,
David Tomé-Lourido
3,
María-Luisa Rodicio-García
2,
María-José Mosquera-González
4,
Daniel López-López
5,* and
Juan Gómez-Salgado
6,7
1
Facultad de Ciencias de la Salud, Universidad Internacional de la Rioja, 26004 Logroño, Spain
2
Department of Specific Didactics, Research, and Diagnose Methods, Grupo de Investigación FORVI (Formación y Orientación para la Vida), Universidade da Coruña, 15071 A Coruña, Spain
3
Department of Psychology, Universidade da Coruña, 15071 A Coruña, Spain
4
Department of Physical and Sport Education, Grupo de Investigación FORVI (Formación y Orientación para la Vida), Universidade da Coruña, 15179 A Coruña, Spain
5
Research, Health and Podiatry Group, Department of Health Sciences, Faculty of Nursing and Podiatry, Industrial Campus of Ferrol, Universidade da Coruña, 15403 Ferrol, Spain
6
Department of Sociology, Social Work and Public Health, Universidad de Huelva, 21071 Huelva, Spain
7
Safety and Health Postgraduate Programme, Universidad Espíritu Santo, Guayaquil 092301, Ecuador
*
Author to whom correspondence should be addressed.
Healthcare 2023, 11(6), 789; https://doi.org/10.3390/healthcare11060789
Submission received: 2 February 2023 / Revised: 25 February 2023 / Accepted: 3 March 2023 / Published: 7 March 2023
(This article belongs to the Special Issue Health in Prison)

Abstract

:
The objective of this study was to evaluate, in a group of Galician inmates, if there were variations in the levels of physical and mental health and anxiety–depressive symptomatology, depending on the sports’ practice performed. The relationship between these constructs was also investigated. The sample was composed of 509 people deprived of liberty in prisons in the Autonomous Community of Galicia, Spain. A quantitative methodology was used, with the questionnaire as an information collection instrument, Student’s t-tests, Pearson’s correlation analysis and a stepwise regression analysis were carried out. The results indicated that those who performed physical activity during their stay in prison had higher levels of physical and mental health, as well as lower indicators of anxiety–depressive symptoms. People who did not practice sports showed a decrease in their perceived health levels when compared to those perceived in their pre-prison stage. A negative association was shown between perceived health levels and anxiety–depressive symptomatology. Perceived physical health, alone, explained 35% of the variance in perceived mental health. These results add to knowledge about the relationships between perceived health, anxiety–depressive symptoms and sports practice in the group of people deprived of liberty, highlighting the importance of promoting physical activity in penitentiary institutions.

1. Introduction

Throughout the last few decades, the scientific literature has collected abundant evidence about the benefits that the practice of physical and sports activities have for people’s health [1]. In terms of physical health, regular physical activity is effective in preventing at least twenty-five chronic medical conditions, with a risk reduction that ranges from 20 to 30% [2,3,4]. The mere fact that people become a little more active in their day to day lives, without reaching the recommendations of one hundred and fifty minutes of physical activity per week from the different international agencies, already implies health benefits [1]. This improvement in health, caused by physical activity, is independent of educational or economic levels [5].
In the same vein, there are many scientific publications that reflect the importance of exercise in adults: not only to improve physical health levels, but also regarding mental health levels [6,7]. Specifically, a wide range of positive results have been identified, regarding sports participation in relation to social, psychological and psychosocial health, such as perceived social support, the sense of belonging or a greater self-esteem [6]. These health benefits that derive from the practice of physical activity and sports have also been found in other age groups, such as in children [8], adolescents [9] or the elderly [10].
Regarding the prison population, inmates usually have worse levels of physical and mental health, tending to suffer from chronic physiological and psychological disorders [11]. In terms of physical health, inmates are disproportionately affected by risk factors for cardiovascular diseases [12] and tend to be obese through rapid weight gain during their stay in prison [13,14].
However, different investigations have shown that structured physical activity can improve cardiovascular risk levels and obesity during hospitalization [14,15]. Similarly, it has also been proven that the practice of physical activity in prison improves the well-being perceived by inmates as well as reducing their levels of depression. The promotion of physical activity is also established as a critical component in older inmates when maintaining a good lifestyle in prison, preventing the onset of the previously mentioned diseases [16].
On the other hand, in relation to mental health, although prison inmates tend to come from socially disadvantaged environments, presenting poor health indicators linked to their situations of social exclusion, detention centers may offer an opportunity to combat these inequalities through health promotion programs [17]. In the international context, there are numerous interventions based on sport and physical activity carried out in prisons with the purpose of improving the levels of inmates’ psychological well-being and reducing mental symptoms [4,18,19,20]. In general, these interventions usually last between six weeks and nine months, and as a general conclusion, it has been established that they provide a positive impact on the psychological well-being of inmates [20]. Physical activity in prison leads to reduced despair among inmates [21], becoming a coping strategy to deal with incarceration and decrease levels of anxiety and depression [22].
As for the prison population of women, the benefits of physical activity are the same as for men in terms of physical and mental health, allowing them to develop a positive social identity and favoring social relationships [3,23,24]. However, the participation of inmates in these activities is very low compared to the levels of physical exercise performed by men, or those recommended for society in general, due to the many obstacles that exist when it comes to participating in physical activities in prison [25]. Among these obstacles, the institutional system itself stands out: the internal functioning, family demands or the need to work in prison, lead to limited time available for sports [26].
In the Spanish context, over the years, legislation has evolved and been adapted to conceive of sports as a habitual activity in prison, aimed at achieving the re-education and social reintegration of inmates [27,28,29]. Therefore, over the last few years, different projects have been carried out implementing proposals to promote physical activities and sports in prisons [30].
The purpose of these programs is to enhance the cardiovascular health of inmates [31], establish a health education system [32], develop maps of assets for health in young inmates [33], learn about the role of sports in prison for social rehabilitation [34], assess the satisfaction and perception of this population with sports programs that seek to promote their reintegration [35,36] or promote the values of responsibility, commitment and enthusiasm [37].
The review of the existing literature reveals the interest in the subject and that more and more there is a tendency to work with specific groups within the prison. It will be necessary to look for references that make it possible to compare what happens in different institutions, since each of them has its own operating dynamics and this can condition moods to the point of wanting to go to prison, as was stated by some inmates, recidivists, in order to have a more orderly, controlled and safe life. A novelty compared with previous studies is having used the sports practice variable prior to entering prison to see to what extent it provided relevant information to the works published to date, in addition to providing data from the Autonomous Community of Galicia.
The objective of this research was to analyze whether there are variations in the levels of physical health, mental health and anxiety–depressive symptomatology, in people who were inmates in Galician prisons, depending on the sports practice carried out before and after their entry into prison and above all, we wanted to inquire about the relationships between physical health, mental health and anxiety–depressive symptoms during the duration of the sentence.

2. Method

2.1. Participants

The sample was made up of 509 participants (88.2% men and 11.8% women) interned in penitentiary institutions in the Autonomous Community of Galicia. The ages ranged between 19 and 74 years (M = 40.85; SD = 10.55), with women being slightly younger than men, but without these differences being considered significant.
Regarding criminal variables, men and women presented differential traits with respect to whether it was the first time they were imprisoned or, on the other hand, whether they were repeat offenders and if the sentence imposed contemplated the commission of a single crime or several (x2 = 343.365, p < 0.01). A greater recidivism and greater probability of committing multiple crimes were observed in male inmates (see Table 1).
For the classification of the crimes committed by the inmates, the International Classification of Crime for Statistical Purpose (UNODC, 2015) provides the following categories of Level 1 crimes (see Table 2).
In addition to the previous categories, an extra category (number 12) was established that includes the commission of crimes against a partner, ex-partner or person linked with the same bond or emotional relationship by a man and that constitutes a specific typology of the Spanish judicial environment called gender violence.
Regarding the type of crime committed by men and women, the most common in both genders were crimes against property that involved the use of violence (theft and robbery) followed by crimes against public health or that are considered acts with psychoactive substances (drug trafficking). Since women cannot commit acts of gender violence, no data were obtained in this criminal typology that allowed comparisons with men.
The high percentage of men who claim to commit crimes that cause harm or intend to cause harm (injuries and threats) is noteworthy, while more women claim to commit acts involving fraud, deceit or corruption (see Table 3).
Regarding the criminal variables considered quantitative, results indicated that there were no differences in the sample of men and women studied based on the number of times they were in prison, the age when they were admitted for the first time, sentence time and time served. Significantly longer sentences were observed for men than for women (t = 2.809; gl. = 419; p = 0.005 < 0.05). It was not possible to carry out comparative analyses due to the difference in the size of the samples (see Table 4).

2.2. Instruments

Physical health was assessed through an item formulated as follows “How would you rate your physical health before entering prison?” with 4 options, where 1 = bad; 2 = average; 3 = good; and 4 = very good. Mental health was measured with a similar item.
Regarding the measurement of anxiety–depressive symptomatology, anxiety was assessed through the State-Trait Anxiety Inventory (STAI) [38] which assesses state and trait anxiety through 40 items (20 for each subscale). Specifically, it was used in its translation into Spanish [39]. The response scale is a Likert-type scale from 0 to 3. In the state anxiety subscale, the response ranges from 0 = not at all, 1 = somewhat, 2 = moderately so to 3 = very much so; meanwhile, in the trait anxiety subscale, the response range is: 0 = almost never, 1 = sometimes, 2 = often and 3 = almost always
Depression symptoms were measured with the Spanish adaptation of the Beck-II Depression Inventory [40], the original instrument being created by Beck, Steer and Brown (1996). The Spanish version has 21 items with four response alternatives.
Finally, the practice of sport in the penitentiary and before entering it, the time spent in prison, if it was your first time in prison, at what age did you enter prison, as well as the sociodemographic data on sex and age, were evaluated by means of an ad hoc questionnaire.
The validity of the information given was due to the attention paid by the research team, which in practical terms involved carrying out an interview instead of applying a questionnaire, by standing next to the inmate and explaining if necessary what the question that was asked meant. What, at first, seemed to be an inconvenience became a very relevant source of information that allowed us to support everything that is narrated here with an exact reflection of reality, as indicated in the following section.

2.3. Procedure

In order to access the population under study, it was necessary to make the corresponding permit application to the General Secretariat of Penitentiary Institutions (Ministry of Interior). To formalize this request, among other data, we had to provide all the information related to the research project that we intended to carry out: objectives, lines of research, tools for information collection and temporary planning of field work.
Once the authorization was granted by the Ministry of the Interior, the person in charge of training in the penitentiary was contacted, who was also provided with a presentation letter for its dissemination; this included the objectives of the study, the data to be collected and the informed consent form to be filled in by those people who were willing to collaborate.
The field work was carried out throughout the months of July and August, and the data collection instruments were administered once the training activities with the inmates were completed, respecting the hours of access to the penitentiary. This was carried out in small groups, always following the instructions of the person in charge of training, who called on the different modules to allow access and sent the inmates to the room used for the data collection.
The initial research design contemplated the application of the questionnaire prepared for this purpose and the use of the scales in a group; however, in practice, it had to be performed in a more individualized way, since many inmates constantly needed help to fill it out, which made completion difficult.
The study was approved by the Ethics Committee of the University to which the authors belong and followed the recommendations of the Declaration of Helsinki and the General Data Protection Regulation (2016/679), approved by the European Parliament and the Council of the European Union.

2.4. Data Analysis

Data analyses were carried out with the statistical package IBM SPSS Statistics version 25. They were executed sequentially, beginning with the calculation of the descriptive statistics of the variables under study. Then, comparisons of means were made based on sports practice, by comparing groups with Student’s t-test. Subsequently, correlation analyses were performed between the different variables of the study using the Pearson correlation coefficient. Finally, a stepwise regression analysis was carried out with the objective of determining to what extent mental health in prison was explained by physical health and anxiety–depressive symptomatology.

3. Results

3.1. Descriptive Statistics

Table 5 shows the descriptive statistics (mean, standard deviation, minimum and maximum) in the following variables: physical health, mental health, anxiety and depression. The inmates presented moderately high scores in the perception of physical and mental health, both before entering prison and afterwards. The indicators of anxiety and depression were low.
Below, we present the comparisons made in the levels of physical and mental health, before and during their internment, indicated by the inmates, depending on whether or not they practiced sports in prison. Table 6 shows the descriptive statistics of these variables for the two groups: those who practiced sports and those who did not. For this, it was considered that those inmates who indicated doing so at least 3 h a week practiced sports. The distribution of the sample was quite balanced with 41% indicating that they met that standard and 59% indicating that they did more hours of sports.
-
Intergroup comparisons before entering prison
There were no significant differences between the group of inmates who practiced sports in prison and the group that did not practice sports prior to imprisonment, both for physical health (t (437) = 0.382; p = 0.703) and for mental health (t (434) = 0.882; p = 0.378).
-
Intergroup comparisons after entering prison
There were significant differences in the levels of physical and mental health after entering prison. The group of inmates who practiced sports in prison had higher levels of physical health (t (248.643) = 7.49; p < 0.001; d = 0.81) and mental health (t (434) = 5.009; p < 0.001; d = 0.79).
-
Intragroup comparisons
Regarding the differences in the levels of physical and mental health within each of the groups, the group of inmates who practiced sports in prison (Figure 1), did not show statistically significant differences between the levels prior to entering prison and the levels shown during imprisonment, both for physical health (t (296) = 1.946; p = 0.053) and for mental health (t (296) = 1.958; p = 0.051).
On the other hand, the group of inmates who did not practice sports in prison showed a significant decrease in their levels of physical health (t (138) = 5.419; p < 0.001) and mental health (t (134) = 4.477; p < 0.001).
Regarding the levels of physical and mental health prior to their stay in prison, the group of inmates who practiced sports had higher levels of physical health (M = 2.95; SD = 1) and mental health (M = 2.89; SD = 1.01) than the group of inmates who did not perform any sport, both in physical health indicators (M = 2.45; SD = 1.01) and in mental health indicators (M = 2.56; SD = 1.07). The differences found in relation to physical health (t (432) = 4.973; p < 0.001) and mental health (t (331,627) = 3.208; p < 0.01; d = 0.83) were statistically significant.

3.2. Comparisons in Anxiety and Depression in Those Who Say They Practice Sports and Those Who Do Not

Table 7 shown similar findings to the previous section, the levels of anxiety and depression of the inmates shown in Table 1 were also analyzed according to sports practice. These comparisons can be found in Table 3.
The group of inmates who practiced sports during imprisonment had lower levels of state anxiety, trait anxiety and depression than the group of inmates who did not play sports. These differences are statistically significant.

3.3. Correlation Analysis

The correlations among the variables, state anxiety, trait anxiety, depression and physical health in prison and mental health in prison, are shown in Table 4. The dimensions of anxiety and depression correlate with each other positively and significantly. In turn, these variables correlate with physical and mental health in a negative and significant way (see Table 8).

3.4. Regression Analysis

The initial model of the multiple linear regression analysis (Table 5) only included, as a predictor variable, physical health with a positive direction. Subsequently, trait anxiety and state anxiety, with a negative direction, were included in a second and third model. The changes in adjusted R2 were significant, while the final model explains 49% of the mental health variance. The depression variable was not a significant predictor (see Table 9).

4. Discussion

In the present investigation, we wanted to know the degree of physical and mental health as well as anxiety–depressive symptoms in a group of inmates in prisons belonging to the Autonomous Community of Galicia, Spain. We also wanted to know if these levels varied depending on the practice of sports carried out in prison and before their entry into it. In addition, the relationships between these variables were analyzed.
The results indicate that those inmates who performed physical activity in prison showed higher levels of perceived physical and mental health, as well as lower indicators of anxiety and depression. These results are in line with previous scientific literature that has highlighted the benefits of physical activity to improve physical and mental health indicators [2,3,6,18].
The group of inmates who did not perform physical activity in prison worsened their perceived levels of physical and mental health, which did not occur with inmates who did practice sports. These results favor the thesis, widely reinforced by research, that physical inactivity is a risk factor for both physical and mental health [41,42,43].
Regarding the relationships between the variables: physical health, mental health and anxiety–depressive symptoms, the correlation analysis shows a positive relationship between physical health perception and mental health perception. These results are consistent with the scientific literature previously mentioned, as sports performance is substantially associated with mental health [44], a factor that has special importance in the prison population [4,21,45]. The correlation analysis also reflects the existence of negative relationships between the perception of physical health and the perception of mental health with anxiety–depressive symptomatology, as confirmed in previous studies [3,46,47,48,49].
The establishment of the relationships between perceived physical and mental health with anxiety–depressive symptomatology is essential in those inmates diagnosed with a mental disorder, since investigations show how the practice of physical activity also clearly improves their physical and mental health, both in the general population [7] and in prison inmates [19]. Hence the need for research work, perhaps of a more qualitative nature, that allows for enquiries about subjects in the population affected by inherent situations of deprivation, groups that are very difficult to reach with this type of study.
Finally, the results of the regression analysis indicated that the perceived mental health in the inmates is explained to a greater extent by the perceived physical health, which is in line with the existing scientific literature, highlighting the relationship between the attitude towards physical health itself and the perception of mental health [3,50]. In this respect, physical activity is considered as the major factor responsible for the indirect effects between both constructs [51].
Among the limitations of this study, we should mention the impossibility of establishing causal relationships, due to the non-manipulative nature of the investigation, as well as not having measured health through objective indicators, but through questions addressed to inmates about their perceptions of it. However, other previous studies on health perception also evaluate this construct in a similar way [5].
Another limitation has to do with the sample used, which was of an incidental nature, as they were the subjects who voluntarily enrolled in the study. It is considered broad for this type of study; but, even so, it was not balanced by gender because in Galicia there are very few female inmates, and this makes it impossible to establish comparisons based on gender.

5. Conclusions

The main conclusion we reached with this study is the difficulty involved in working in prison contexts. A feature of this was the bureaucratic procedures that must be faced from the moment the idea arose, until the permit was obtained; we must add that you were always in the hands of the officials who, as they change daily, you then had to explain again what you were doing there at all hours.
The fact that the inmates have such great mobility meant that you cannot continue working with the same inmate for two weeks in a row, because either he was on trial, on leave, was transferred to another prison or was in a compulsory activity. You have to constantly adapt to the situation.
Each center has its own dynamic of action, which means that different plans had to be used to reach the same end.
The difficulty of working there meant that by having access we tried to reach the majority of inmates and collect the greatest quantity of data, and this can turn against the investigation itself.
This article is a part of a much more complete and complex investigation.
Regarding the subject studied, which seemed very obvious from the outset, it has allowed us to see that there are a multitude of variables that affect it, from the type of center, whether that is more or less crowded, the type of inmates, the prison conditions, the climate that is in it, etc.; all of which may vary the results.
Hence, at this point, it can be concluded that a comparative investigation would be necessary to draw conclusions about the variables that are common and, from there, to investigate each case in depth.
Future lines of research can focus on confirming the present results in the Galician prison population through studies with stratified samples and according to the object of study, which allow for the establishment of a higher degree of causality, more qualitative methodologies and data triangulation.
It would also be important to expand the sample to other Spanish prisons in which there are more women, or to evaluate the levels of physical health through objective indicators.
The studies carried out in recent years are leading to the analysis of cases and groups with a determined casuistry, which may be more effective for progress in the field and contribute to the central objective of achieving the social and labor reintegration of the internees.

Author Contributions

Conceptualization, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., M.-J.M.-G., D.L.-L. and J.G.-S.; Methodology, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., D.L.-L. and J.G.-S.; Formal analysis, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., M.-J.M.-G., D.L.-L. and J.G.-S.; Investigation, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., M.-J.M.-G., D.L.-L. and J.G.-S.; Data curation, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G. and M.-J.M.-G.; Writing—original draft, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., M.-J.M.-G., D.L.-L. and J.G.-S.; Writing—review and editing, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., M.-J.M.-G., D.L.-L. and J.G.-S.; Supervision, M.P.A., M.-P.R.-d.-D., D.T.-L., M.-L.R.-G., M.-J.M.-G., D.L.-L. and J.G.-S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

All methods were compiled in agreement with the relevant regulations and guidelines, the World Medical Association in the Declaration of Helsinki, in their actually revision, was carried into account to preserve the ethical principles for experimentation in humans subjects. This research was approved by the university’s Institutional Review Board with record number 23/2015.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data supporting reported results of this article are available from the author ([email protected]) in the Grupo de Investigación FORVI (Formación y Orientación para la Vida), Universidade da Coruña.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Warburton, D.E.R.; Bredin, S.S.D. Health Benefits of Physical Activity: A Systematic Review of Current Systematic Reviews. Curr. Opin. Cardiol. 2017, 32, 541–556. [Google Scholar] [CrossRef]
  2. Rhodes, R.E.; Janssen, I.; Bredin, S.S.D.; Warburton, D.E.R.; Bauman, A. Physical Activity: Health Impact, Prevalence, Correlates and Interventions. Psychol. Health 2017, 32, 942–975. [Google Scholar] [CrossRef]
  3. De Marco, M.; Meek, R. The Perceived Impact of Sport and Physical Activity Programmes: An Interpretative Phenomenological Analysis of the Experiences of Gym Orderlies in a UK Women’s Prison. In Sport, Physical Activity and Criminal Justice; Routledge: London, UK, 2022; pp. 136–149. [Google Scholar] [CrossRef]
  4. García, B.; Orlando, O.; Gallardo, B.M.; Omar, D.; Mego Núñez, O. La Actividad Deportiva y Su Influencia En La Resocialización Del Interno En El Establecimiento Penitenciario Piura—2018; Universidad Señor de Sipán: Chiclayo, Peru, 2021. [Google Scholar]
  5. Coenders, F.; van Mensvoort, C.; Kraaykamp, G.; Breedveld, K. Does Sport-Participation Improve Health? A Panel Analysis on the Role of Educational Attainment, Economic Deprivation and Work–Family Load. Eur. J. Sport Soc. 2017, 14, 45–59. [Google Scholar] [CrossRef] [Green Version]
  6. Andersen, M.H.; Ottesen, L.; Thing, L.F. The Social and Psychological Health Outcomes of Team Sport Participation in Adults: An Integrative Review of Research. Scand. J. Public Health 2019, 47, 832–850. [Google Scholar] [CrossRef] [PubMed]
  7. Czosnek, L.; Lederman, O.; Cormie, P.; Zopf, E.; Stubbs, B.; Rosenbaum, S. Health Benefits, Safety and Cost of Physical Activity Interventions for Mental Health Conditions: A Meta-Review to Inform Translation Efforts. Ment. Health Phys. Act. 2019, 16, 140–151. [Google Scholar] [CrossRef] [Green Version]
  8. Poitras, V.J.; Gray, C.E.; Borghese, M.M.; Carson, V.; Chaput, J.P.; Janssen, I.; Katzmarzyk, P.T.; Pate, R.R.; Connor Gorber, S.; Kho, M.E.; et al. Systematic Review of the Relationships between Objectively Measured Physical Activity and Health Indicators in School-Aged Children and Youth. Appl. Physiol. Nutr. Metab. 2016, 41, S197–S239. [Google Scholar] [CrossRef] [Green Version]
  9. Lubans, D.; Richards, J.; Hillman, C.; Faulkner, G.; Beauchamp, M.; Nilsson, M.; Kelly, P.; Smith, J.; Raine, L.; Biddle, S. Physical Activity for Cognitive and Mental Health in Youth: A Systematic Review of Mechanisms. Pediatrics 2016, 138, e20161642. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Möller, A.M.; Ansari, P.; Ebrahim, N.A.; Khoo, S. Physical Activity and Aging Research: A Bibliometric Analysis. J. Aging Phys. Act. 2016, 24, 476–483. [Google Scholar] [CrossRef] [Green Version]
  11. Mannocci, A.; Mipatrini, D.; D’Egidio, V.; Rizzo, J.; Meggiolaro, S.; Firenze, A.; Boccia, G.; Santangelo, O.E.; Villari, P.; La Torre, G.; et al. Health Related Quality of Life and Physical Activity in Prison: A Multicenter Observational Study in Italy. Eur. J. Public Health 2018, 28, 570–576. [Google Scholar] [CrossRef]
  12. Allami, M.; Yavari, A.; Karimi, A.; Masoumi, M.; Soroush, M.; Faraji, E. Health-Related Quality of Life and the Ability to Perform Activities of Daily Living: A Cross-Sectional Study on 1079 War Veterans with Ankle-Foot Disorders. Mil. Med. Res. 2017, 4, 37. [Google Scholar] [CrossRef] [Green Version]
  13. Choudhry, K.; Armstrong, D.; Dregan, A. Systematic Review into Obesity and Weight Gain within Male Prisons. Obes. Res. Clin. Pract. 2018, 12, 327–335. [Google Scholar] [CrossRef] [PubMed]
  14. Johnson, C.; Chaput, J.P.; Diasparra, M.; Richard, C.; Dubois, L. Influence of Physical Activity, Screen Time and Sleep on Inmates’ Body Weight during Incarceration in Canadian Federal Penitentiaries: A Retrospective Cohort Study. Can. J. Public Health 2019, 110, 198–209. [Google Scholar] [CrossRef]
  15. Mohan, A.R.M.; Thomson, P.; Leslie, S.J.; Dimova, E.; Haw, S.; McKay, J.A. A Systematic Review of Interventions to Improve Health Factors or Behaviors of the Cardiovascular Health of Prisoners During Incarceration. J. Cardiovasc. Nurs. 2018, 33, 72–81. [Google Scholar] [CrossRef] [PubMed]
  16. Wangmo, T.; Handtke, V.; Bretschneider, W.; Elger, B.S. Improving the Health of Older Prisoners: Nutrition and Exercise in Correctional Institutions. J. Correct. Health Care 2018, 24, 352–364. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Baybutt, M.; Dooris, M.; Farrier, A. Growing Health in UK Prison Settings. Health Promot. Int. 2019, 34, 792–802. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Martínez, L.M.; Ochoa, K.d.C.C. La Reinserción Social Como Derecho de Las Personas Privadas de La Libertad Para Una Vida Digna. Anu. DERECHO Comer. Int. Segur. Políticas Públicas 2023, 2, 1–10. [Google Scholar] [CrossRef]
  19. O’Toole, S.; Maguire, J.; Murphy, P. The Efficacy of Exercise Referral as an Intervention for Irish Male Prisoners Presenting with Mental Health Symptoms. Int. J. Prison. Health 2018, 14, 109–123. [Google Scholar] [CrossRef]
  20. Woods, D.; Breslin, G.; Hassan, D. A Systematic Review of the Impact of Sport-Based Interventions on the Psychological Well-Being of People in Prison. Ment. Health Phys. Act. 2017, 12, 50–61. [Google Scholar] [CrossRef]
  21. Cashin, A.; Potter, E.; Butler, T. The Relationship between Exercise and Hopelessness in Prison. J. Psychiatr. Ment. Health Nurs. 2008, 15, 66–71. [Google Scholar] [CrossRef]
  22. Buckaloo, B.J.; Krug, K.S.; Nelson, K.B. Exercise and the Low-Security Inmate: Changes in Depression, Stress, and Anxiety. Prison J. 2009, 89, 328–343. [Google Scholar] [CrossRef]
  23. Martín González, N.; Martinez Merino, N.; Usabiaga Arruabarrena, O.; Martos i García, D. (Re)Construcción de Identidades Sociales En Entornos Penitenciarios: Las Presas Deportistas. Rev. Psicol. Deporte 2019, 28, 59–66. [Google Scholar]
  24. Godoy Izquierdo, D.; Godoy, J.F.; López-Chicheri, I.; Martínez Delgado, A.; Gutiérrez Jiménez, S.; Vázquez Vázquez, L. Propiedades Psicométricas de La Escala de Autoeficacia Para El Afrontamiento Del Estrés (EAEAE). Psicothema 2008, 20, 155–165. [Google Scholar]
  25. Martinez-Merino, N.; Martín-González, N.; Usabiaga, O.; Martos-Garcia, D. Physical Activity Practiced by Incarcerated Women: A Systematic Review. Health Care Women Int. 2017, 38, 1152–1169. [Google Scholar] [CrossRef] [PubMed]
  26. Merino, N.M.; Gonzaléz, N.M.; Usabiaga, O.; García, D.M. Beneficios y Barreras Identificadas Por Las Presas Que Practican Actividad Física: Una Revisión Cualitativa de La Literatura (Benefits and Barriers Identified by Incarcerated Women Who Practice Physical Activity: A Qualitative Literature Review). Retos 2018, 34, 44–50. [Google Scholar] [CrossRef]
  27. Neubauer, A. El Deporte Como Vector Para La Integración Social de Los Colectivos Vulnerables En La Unión Europea. Cuad. Trab. Soc. 2023, 36, 37–47. [Google Scholar] [CrossRef]
  28. Castillo-Algarra, J.; García-Tardón, B.; Pardo, R.; Castillo Algarra, J. Sport in Spanish Prisons: Towards the Third Degree or the Third Half? Cult. Cienc. Deporte 2019, 14, 5–13. [Google Scholar] [CrossRef]
  29. Zubiaur González, M. ¿Se Puede Considerar El Deporte Como Un Instrumento de Integración Social de La Población Reclusa Española? Ágora Educ. Física Deporte 2017, 19, 1–18. [Google Scholar] [CrossRef] [Green Version]
  30. Martínez Antón, M. La Actividad Físico-Deportiva, Sus Beneficios En Centros Penitenciarios. Una Aplicación En El Centro Penitenciario de Burgos. Papeles Salmant. Educ. 2016, 20, 133–157. [Google Scholar] [CrossRef]
  31. Martínez-Delgado, M.M.; Ramírez-López, C. Cardiovascular Health Education Intervention in the Prison of Soria. Rev. Esp. Sanid. Penit. 2016, 18, 5–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Maestre-Miquel, C.; Zabala-Baños, C.; García, J.A.; Antolín, J.M. Health Education for Prevalent Problems in Prison, Ocaña-I Proyect (Spain). Rev. Esp. Sanid. Penit. 2016, 18, 86–94. [Google Scholar] [CrossRef]
  33. Vera-Remartínez, E.J.; Paredes-Carbonell, J.J.; Aviñó Juan-Ulpiano, D.; Jiménez-Pérez, M.; Araujo Pérez, R.; Agulló-Cantos, J.M.; Mora Notario, A. Sentido de Coherencia y Mapa de Activos Para La Salud En Jóvenes Presos de La Comunidad Valenciana En España. Glob. Health Promot. 2017, 24, 112–121. [Google Scholar] [CrossRef]
  34. Moscoso-Sánchez, D.; de Léséleuc, E.; Rodríguez Morcillo Baena, L.; González Fernández, M.T.; Pérez Flores, A.M.; Muñoz Sánchez, V.M. Expected Outcomes of Sport Practice for Inmates: A Comparison of Perceptions of Inmates and Staff. Rev. Psicol. Deporte 2017, 26, 37–48. [Google Scholar]
  35. De, D.; Tomás, M.; Robles, A.; Ortega Vila, G.; Durán González, L.J.; Javier, F.; Fuentes-Guerra, G.; Martín, J.F.; Concepción Jiménez Sánchez, A.; Robles Rodríguez, J. Evaluación de Un Programa Deportivo Orientado a La Promoción de Valores En Centros Penitenciarios Españoles. Rev. Iberoam. Psicol. Ejerc. Deporte 2019, 14, 41. [Google Scholar]
  36. Ortega, G.; Abad, M.T.; Giménez, F.J.; Durán, L.J.; Franco, J.; Jiménez, A.C.; Robles, J. Satisfacción de Los Internos de Centros Penitenciarios Con El Programa Deportivo Educativo de Baloncesto Desarrollado Por La Fundación Real Madrid. Cuad. Psicol. Deport. 2017, 17, 143–148. [Google Scholar]
  37. Llorach, M.; Soler, S.; de Martos-García, D. Barcelona -Centro Penitenciario Brians, U. El papel de la actividad física y el deporte en un modelo de participación y convivencia de un centro penitenciario. Rev. Española Educ. Física Deporte 2019, 426, 353–361. [Google Scholar] [CrossRef]
  38. Spielberger, C.D.; Gorsuch, R.L.; Lushene, R.E. STAI Manual for the State-Trait Anxiety Inventory. Self-Eval. Quest. 1970, 1, 1–24. [Google Scholar]
  39. Guillén-Riquelme, A.; Buela-Casal, G. Metaanálisis de Comparación Degrupos y Metaanálisis de Generalización de Lafiabilidad Delcuestionario State-Trait Anxiety Inventory (Stai). Rev. Esp. Salud Publica 2014, 88, 101–112. [Google Scholar] [CrossRef] [PubMed]
  40. Sanz Fernández, J.; Navarro, M.E.; Vázquez Valverde, C. Adaptación Española Del Inventario Para La Depresión de Beck-II (BDI-II): Propiedades Psicométricas En Estudiantes Universitarios. Análisis Modif. Conduct. 2003, 29, 239–288. [Google Scholar]
  41. Jacob, N.; Munford, L.; Rice, N.; Roberts, J. Does Commuting Mode Choice Impact Health? Health Econ. 2021, 30, 207–230. [Google Scholar] [CrossRef]
  42. Kokkinos, P. Physical Activity, Health Benefits, and Mortality Risk. ISRN Cardiol. 2012, 2012, 718789. [Google Scholar] [CrossRef] [Green Version]
  43. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Worldwide Trends in Insufficient Physical Activity from 2001 to 2016: A Pooled Analysis of 358 Population-Based Surveys with 1.9 Million Participants. Lancet. Glob. Health 2018, 6, e1077–e1086. [Google Scholar] [CrossRef] [Green Version]
  44. Chekroud, S.R.; Gueorguieva, R.; Zheutlin, A.B.; Paulus, M.; Krumholz, H.M.; Krystal, J.H.; Chekroud, A.M. Association between Physical Exercise and Mental Health in 1·2 Million Individuals in the USA between 2011 and 2015: A Cross-Sectional Study. Lancet Psychiatry 2018, 5, 739–746. [Google Scholar] [CrossRef] [PubMed]
  45. Meek, R.; Morgan, H.; Parker, A. The History and Development of Policy for Sport and Physical Activity in Youth and Adult Prisons. In Sport, Physical Activity and Criminal Justice; Routledge: London, UK, 2022; pp. 11–23. [Google Scholar] [CrossRef]
  46. Schuch, F.; Vancampfort, D.; Firth, J.; Rosenbaum, S.; Ward, P.; Reichert, T.; Bagatini, N.C.; Bgeginski, R.; Stubbs, B. Physical Activity and Sedentary Behavior in People with Major Depressive Disorder: A Systematic Review and Meta-Analysis. J. Affect. Disord. 2017, 210, 139–150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Ferro, M.A.; Van Lieshout, R.J.; Scott, J.G.; Alati, R.; Mamun, A.A.; Dingle, K. Condition-Specific Associations of Symptoms of Depression and Anxiety in Adolescents and Young Adults with Asthma and Food Allergy. J. Asthma 2016, 53, 282–288. [Google Scholar] [CrossRef] [Green Version]
  48. Toussaint, L.; Shields, G.S.; Dorn, G.; Slavich, G.M. Effects of Lifetime Stress Exposure on Mental and Physical Health in Young Adulthood: How Stress Degrades and Forgiveness Protects Health. J. Health Psychol. 2016, 21, 1004–1014. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Vancampfort, D.; Firth, J.; Schuch, F.B.; Rosenbaum, S.; Mugisha, J.; Hallgren, M.; Probst, M.; Ward, P.B.; Gaughran, F.; De Hert, M.; et al. Sedentary Behavior and Physical Activity Levels in People with Schizophrenia, Bipolar Disorder and Major Depressive Disorder: A Global Systematic Review and Meta-Analysis. World Psychiatry 2017, 16, 308–315. [Google Scholar] [CrossRef] [Green Version]
  50. Sickel, A.E.; Seacat, J.D.; Nabors, N.A. Mental Health Stigma: Impact on Mental Health Treatment Attitudes and Physical Health. J. Health Psychol. 2019, 24, 586–599. [Google Scholar] [CrossRef]
  51. Ohrnberger, J.; Fichera, E.; Sutton, M. The Relationship between Physical and Mental Health: A Mediation Analysis. Soc. Sci. Med. 2017, 195, 42–49. [Google Scholar] [CrossRef]
Figure 1. Sports practice in prison and physical and mental health.
Figure 1. Sports practice in prison and physical and mental health.
Healthcare 11 00789 g001
Table 1. Descriptive statistics of the sample based on criminal variables.
Table 1. Descriptive statistics of the sample based on criminal variables.
MenWomen
N%N%
First time in prison
YES23252.33456.7
NO21147.52440
Several crimes
YES10825.847.3
NO31174.25192.7
Table 2. UNODC Level 1 crime categories.
Table 2. UNODC Level 1 crime categories.
1.
Acts leading to death or intending to cause death
2.
Acts leading to harm or intending to cause harm to the person
3.
Injurious acts of a sexual nature
4.
Acts against property involving violence or threat against a person
5.
Acts against property only
6.
Acts involving controlled psychoactive substances or other drugs
7.
Acts involving fraud, deception or corruption
8.
Acts against public order, authority and provisions of the State
9.
Acts against public safety and state security
10.
Acts against the natural environment
11.
Other criminal acts not elsewhere classified
Table 3. Descriptive statistics of criminal categories according to gender.
Table 3. Descriptive statistics of criminal categories according to gender.
MenWomen
N%N%
Acts leading to death or intending to cause death4510.947.5
Acts leading to harm or intending to cause harm to the person6415.535.7
Injurious acts of a sexual nature112.7
Acts against property involving violence or threat against a person13733.12241.5
Acts against property only
Acts involving controlled psychoactive substances or other drugs9623.21324.5
Acts involving fraud, deception or corruption133.1611.3
Acts against public order, authority and provisions of the State30.723.8
Acts against public safety and state security20.5
Acts against the natural environment
Other criminal acts not elsewhere classified51.235.7
12389.2
Table 4. Descriptive statistics of the quantitative criminal variables according to gender.
Table 4. Descriptive statistics of the quantitative criminal variables according to gender.
MenWomen
NM (SD)NM (SD)
Times in prison4061.57 (3.89)531.15 (2.72)
Age when admitted to prison for the first time40930.76 (12.01)4933.39 (10.99)
Sentence time37192.62 (89.41)5056.04 (59.42)
Time served (in months)38946.95 (58.13)5531.05 (45.98)
Table 5. Descriptive statistics of the observed variables.
Table 5. Descriptive statistics of the observed variables.
VariableNMinimumMaximumMSD
Physical health before entering prison447142.761.04
Mental health before entering prison444152.771.04
Physical health in prison444142.670.92
Mental health in prison443152.490.98
State anxiety33702.951.400.64
Trait anxiety33402.751.280.54
Depression341052.0017.6910.85
Table 6. Descriptive statistics of physical and mental health based on sports practice.
Table 6. Descriptive statistics of physical and mental health based on sports practice.
VariablePractice SportsDo Not Practice Sports
Before PrisonIn PrisonBefore PrisonIn Prison
MSDMSDMSDMSD
Physical health2.741.062.890.842.781.012.20.918
Mental health2.81.032.650.932.71.072.161
Table 7. Comparisons in anxiety and depression levels.
Table 7. Comparisons in anxiety and depression levels.
VariableM (SD)tDegrees of FreedomBilateral Significance
State anxietyG1: 1.33 (0.59)2.258136.6860.026
G2: 1.53 (0.73)
Trait anxietyG1: 1.24 (0.53)2.3542890.019
G2: 1.4 (0.56)
DepressionG1: 16.69 (10.48)2.3063010.022
G2: 19.8 (11.43)
Note G1 = group of inmates who practiced sports during imprisonment; G2 = group of inmates who did not practice sports during imprisonment.
Table 8. Correlation analysis.
Table 8. Correlation analysis.
Variables12345
1. State anxiety10.750 **0.640 **−0.341 **−0.522 **
2. Trait anxiety0.750 **10.726 **−0.353 **−0.519 **
3. Depression0.640 **0.726 **1−0.454 **−0.543 **
4. Physical health in prison−0.341 **−0.353 **−0.454 **10.591 **
5. Mental health in prison−0.522 **−0.519 **−0.543 **0.591 **1
**. The correlation is significant at level 0.01.
Table 9. Regression analysis of mental health in prison.
Table 9. Regression analysis of mental health in prison.
SummaryM1M2M3
Adjusted R20.3550.4820.49
F113.952 ***96.435 ***66.546 ***
ΔR2 0.129 ***0.01 *
Predictor VariableBeta—M1Beta—M2Beta—M3
Physical health0.599 ***0.445 ***0.426 ***
Trait anxiety −0.39 ***−0.281 ***
State anxiety −0.155 *
Note. M = Model. *. Statistical significance at level 0.05. ***. Statistical significance at level 0.001.
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Penado Abilleira, M.; Ríos-de-Deus, M.-P.; Tomé-Lourido, D.; Rodicio-García, M.-L.; Mosquera-González, M.-J.; López-López, D.; Gómez-Salgado, J. Relationship between Sports Practice, Physical and Mental Health and Anxiety–Depressive Symptomatology in the Spanish Prison Population. Healthcare 2023, 11, 789. https://doi.org/10.3390/healthcare11060789

AMA Style

Penado Abilleira M, Ríos-de-Deus M-P, Tomé-Lourido D, Rodicio-García M-L, Mosquera-González M-J, López-López D, Gómez-Salgado J. Relationship between Sports Practice, Physical and Mental Health and Anxiety–Depressive Symptomatology in the Spanish Prison Population. Healthcare. 2023; 11(6):789. https://doi.org/10.3390/healthcare11060789

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Penado Abilleira, María, María-Paula Ríos-de-Deus, David Tomé-Lourido, María-Luisa Rodicio-García, María-José Mosquera-González, Daniel López-López, and Juan Gómez-Salgado. 2023. "Relationship between Sports Practice, Physical and Mental Health and Anxiety–Depressive Symptomatology in the Spanish Prison Population" Healthcare 11, no. 6: 789. https://doi.org/10.3390/healthcare11060789

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