Mental health and lifestyle in mental health nurses: a cross-sectional, nation-wide study from Uganda during COVID-19 times
Davy Vancampfort, James Mugisha
Received: 21 Feb 2022 - Accepted: 27 Jun 2022 - Published: 15 Jul 2022
Domain: Nursing education
Keywords: Physical activity, nursing, sleep, stress, trauma
©Davy Vancampfort et al. Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article: Davy Vancampfort et al. Mental health and lifestyle in mental health nurses: a cross-sectional, nation-wide study from Uganda during COVID-19 times. Pan African Medical Journal. 2022;42:210. [doi: 10.11604/pamj.2022.42.210.33928]
Available online at: https://www.panafrican-med-journal.com/content/article/42/210/full
Mental health and lifestyle in mental health nurses: a cross-sectional, nation-wide study from Uganda during COVID-19 times
Mental health and lifestyle in mental health nurses: a cross-sectional, nation-wide study from Uganda during COVID-19 times
Introduction: mental health nurses (MHNs) work in potentially high-stress settings, in particular in low-income countries during the COVID-19 pandemic the risk might be high. This multi-centre, cross-sectional study explored the prevalence of psychological distress and post-traumatic stress disorder (PTSD) symptoms among Ugandan MHNs and investigated associations between these mental health outcomes and lifestyle factors.
Methods: in this cross-sectional study, participants completed the Kessler-6 (K-6), PTSD checklist for DSM-5 (PCL-5), simple physical activity questionnaire (SIMPAQ), physical activity (PA) vital sign (PAVS), Pittsburgh sleep quality index (PSQI, and alcohol use disorder identification test-concise (AUDIT-C). Spearman Rho correlations and Mann Whitney U tests were applied.
Results: of 108 included MHNs (age =34.8±10.0 years; 55.6% female) 92.6% had psychological distress (K-6≥13), 44.4% elevated PTSD symptoms (PCL-%≥41), 74.1% was physically inactive (less than 150min/week on PAVS), 75.9% reported poor sleep quality (PSQI>-5) and 24.4% harmful drinking (AUDIT-C≥3 for women and -≥4 for men). SIMPAQ exercise correlated with K-6 (rho =-0.36, P<0.001) and PCL-5 (rho=-0.24, P=0.013), SIMPAQ walking with PCL-5 (rho =-0.31, P<0.001). Mental health nurses meeting the PA guidelines reported lower PCL-5 scores than those who did not (P<0.005).
Conclusion: in Uganda, the mental health burden is high during the COVID-19 pandemic among MHNs and associated with an unhealthy lifestyle. The effectiveness and efficacy of resilience programs for MHNs focusing on unhealthy lifestyle patterns should be explored.
Mental health nurses frequently face emotional adversity and work-related crises including exposure to violence, which can negatively impact their well-being and might result in psychological distress and even post-traumatic stress disorder (PTSD) symptoms [1,2]. An insufficient number of staff and consequently a high workload, time pressure, and role ambiguity might compound the mental burden among mental health nurses even more [3,4]. Psychological distress and symptoms of PTSD can affect the capacity for therapeutic work, professional relationships, and overall work performance . While pre-COVID-19 rates already indicated a prevalence of 5 to 10% for severe depression, anxiety, or stress among mental health nurses from high-income countries , this figure rose up to 30% following the first COVID-19 wave [7-9]. Recent reports highlighted challenges in providing care and treatment while wearing personal protective equipment and maintaining social distancing with patients who may not have the capacity to understand guidelines, and within environments that are often unsuitable and unadaptable as the most important reasons [7,8]. To date, data on mental health nurses´ psychological distress and PTSD levels from low-income countries such as Uganda were lacking pre-COVID-19. One might expect that the prevalence was already very high due to the fact that the mental health care system in low-income countries such as Uganda was even before COVID-19 under severe strain due to a lack of human resources, poor working conditions, and poor management . A recent study among Ugandan health care workers following the first COVID-19 wave and including doctors, clinical officers, nurses, midwives, radiographers, but also cleaners, drivers, administrators, laboratory personnel, and support staff working in the regional referral hospitals indicated that 44% experienced psychological distress .
The most common concerns reported included fear of COVID-19 infection at the workplace (81%), stigma from colleagues (79%), lack of workplace support (63%), and inadequate availability of personal protective equipment (PPE) (56%) . Data focusing on psychological distress and PTSD symptoms among mental health nurses working in general hospitals are however lacking. In order to address the detrimental impacts of workplace-related psychological distress and PTSD symptoms among mental health nurses, there has been very recently growing attention in high-income countries such as Australia on supporting resilience [5,6,12-14], defined as a process of recovery following adverse events, which involves cognitive, affective, and behavioral self-regulatory responses that support positive adaptation and restoration of psychological well-being and functioning . Existing resilience programs currently focus however mainly on collegial peer group interaction and cognitive-behavioral strategies such as managing negative self-talk and promoting positive self-talk . Future research could also explore the role of supporting a healthy and active lifestyle as part of a resilience program. However, before the effectiveness and efficacy of lifestyle programs in order to reduce psychological distress and PTSD symptoms among mental health nurses should be explored, it is of added value to investigate, as a first step, cross-sectional associations between psychological distress and PTSD symptoms and lifestyle factors in this population at risk. To the best of our knowledge, such data are currently lacking in the international literature. In order to fill the current gaps in the literature, this cross-sectional study aimed: a) to explore levels of psychological distress and PTSD symptoms among Ugandan mental health nurses working in the regional referral hospitals during the COVID-19 pandemic, and b) to investigate associations between psychological distress and PTSD symptom levels and sedentary levels, physical activity levels, sleep quality, and other lifestyle factors such as smoking and harmful drinking. We hypothesize that high levels of psychological distress and PTSD symptoms among Ugandan mental health nurses are associated with being more sedentary and physically inactive, poor sleep quality, and the presence of unhealthy lifestyle factors such as smoking and harmful drinking.
Study design: we conducted a cross-sectional study exploring the prevalence of psychological distress and post-traumatic stress disorder symptoms among Ugandan mental health nurses and investigated associations between these mental health outcomes and lifestyle factors.
Study setting: data were collected in 8 regional referral hospitals across Uganda.
Study population: all nurses working in the mental health wards of the included regional referral hospitals were invited to complete the questionnaires on one of two days the research team visited the regional referral hospitals.
Study sampling: data were collected in a random selection of 8 of the 13 regional referral hospitals across Uganda. We used Research Randomizer. All regional referral hospitals were given a number. Thirteen sets of numbers were created, and all centers were at random allocated to 0 (not included) or 1 (included). This way, 7 regional referral hospitals were at random given a number 1 and selected. In a second round, for the 6 remaining regional referral hospitals, a new set of numbers was created leaving 2 potential regional referral hospitals as we're given a number 1. In a final round, 1 of the 2 regional referral hospitals was randomly selected, giving a total of 8 regional referral hospitals. All nurses working in the mental health wards of the 8 selected regional referral hospitals were invited on one of two days the research team visited the regional referral hospitals.
Study variables: all participants were requested to complete the Kessler - 6 (Kessler et al., 2002), PTSD checklist for the DSM-5 (Blevins et al., 2015), simple physical activity questionnaire , physical activity vital sign , Pittsburgh sleep quality index , and alcohol use disorder identification test-concise , and were asked about their smoking habits.
Kessler-6 (K-6): the K-6 (Kessler et al., 2002) is a self-report assessment tool that measures psychological distress in the past 30 days using 6 short items on a 5-point likert scale ranging from 1 (all the time) to 5 (none of the time). The K-6 is also used to identify individuals with increased psychological distress drawing from depressive- and anxiety-related symptoms, with a cut-off of 13 indicating severe psychological distress (Kessler et al., 2002). The K-6 is a valid instrument that is moderate-to strongly correlated (r=0.65) to other golden-standard assessments Kessler et al., 2003.
Post-traumatic stress disorder checklist for the DSM-5 (PCL-5): the PCL-5 is a self-report assessment tool that measures symptoms of post-traumatic stress according to the DSM-5 (association, 2013) during the past month with the aim of monitoring symptom change, screening individuals for PTSD, or making a provisional PTSD diagnosis (Blevins et al., 2015). The PCL-5 contains 20 items that are scored on a 5-point likert scale, ranging from 0 (not at all) to 4 (extremely). This tool provides an indication for PTSD and a severity score (0-80) with higher scores indicating higher severity. A cut-off score of 41 is recommended for providing a provisional diagnosis of PTSD in first responders (Morrison et al., 2021). The PCL-5 has good psychometric properties and is a sound measure of DSM-5 PTSD symptoms (Blevins et al., 2015). It has a strong internal consistency (ɑ=0.94), test-retest reliability (r=0.82), and validity (Blevins et al., 2015).
Simple physical activity questionnaire (SIMPAQ): the SIMPAQ  assesses physical activity and sedentary levels among populations at high risk for physical inactivity. More in detail, it estimates time spent in bed (min/day), time spent sedentary during waking hours (min/day), time spent walking (min/day), time spent in structured exercise (min/day), and time spent in incidental or non-structured physical activity (min/day) during the past week. The sum of the hours recorded in the SIMPAQ items should add to approximately 24-hours, providing interviewers with an opportunity to clarify with participants if significant under or over-reporting has occurred (e.g, a total of <18 hours or >30 hours accounted for). In this study, we focus on the time spent sedentary, time spent walking, time spent in structured exercise, and time spent in incidental or non-structured physical activity. Previous research in Uganda demonstrated the questionnaire is reliable  while the validity has been demonstrated in a 23-country validation study .
Physical activity vital sign (PAVS): the PAVS  comprises two simple questions. The first question is: “On average, how many days per week do you engage in moderate to vigorous physical activity like a brisk walk?” It was explained to the health care professionals that this means that due to being active their heart rate increased, and they breathed more deeply and faster than normal, with some maybe even experiencing sweating. The second question is: “On those days, how many minutes do you engage on average in physical activity at this level?” Next, the two responses were multiplied to calculate the minutes per week of self-reported moderate to vigorous physical activity. The total score was used as a dichotomous outcome in order to investigate whether nurses were achieving the internationally recommended target of 150 minutes per week of moderate to vigorous physical activity. The PAVS has been validated  and used before in Ugandan physical activity studies in mental health nurses [22,23].
Pittsburgh sleep quality index (PSQI): the 19-item PSQI  assesses subjective sleep quality in the last month. Items are categorized into seven components: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, sleep medication, and daytime dysfunction. The possible score range for each component is 0 (no difficulty) to 3 (severe difficulty). The seven component scores are summed to produce a global score; higher scores represent poorer subjective sleep quality. The total score was used as a continuous measure but also as a dichotomous outcome in order to explore the differences between poor and good sleepers. Previous research demonstrated that a global PSQI score >5 yields a diagnostic sensitivity of 89% and specificity of 86.5% (к=0.75, p ≤0.001) in distinguishing “good” from “poor” sleepers. Therefore, “good sleep” can be defined as a global PSQI score of 0 to 5 and “poor sleep” as a global PSQI scores of 6 to 12 .
Harmful drinking: alcohol use disorder identification test-concise (AUDIT - C). Alcohol use was measured with the AUDIT-C (AUDIT questions 1-3) . The questions assessed frequency of drinking, the typical number of drinks consumed on a drinking day, and frequency of binge-drinking during the past 12 months. Responses to each item were scored from 0 to 4. A score on the AUDIT-C of 3 or greater is considered positive in women, 4 or greater for men. The AUDIT-C is a sensitive tool to assess harmful drinking in Uganda .
Smoking: participants were asked whether they smoked or not, and if so, how many cigarettes they smoke per day on average.
Power analysis: first, a power analysis using G*power (22.214.171.124)  for simple correlation analyses was executed. This power analysis demonstrated that a sample size of 84 participants should be sufficient in order to detect a small effect (r= 0.30)  with a statistical power of 80% and a significance level of 0.05. This power is valid for the correlation analyses. Group comparisons were carried out on an exploratory basis.
Data collection: data were collected between January 2021- March 2021 following the first wave of COVID-19 and between September and November 2021 following the second wave of COVID-19. Patients, who were willing to participate, completed the questionnaire before a workshop on self-care.
Statistical analyses: normality was tested by means of the Shapiro-Wilk test and data were, except for age, found not to be normally distributed. All data except age are presented as medians and interquartile ranges. Missing data were replaced by the median of the nearby points. In case, Associations between lifestyle measures and mental health outcomes were investigated with Spearman Rho correlations with non-parametric 95% boot strap confidence intervals (CIs). To interpret the strength of correlation, we used Cohen cut-off points of 0.10, 0.30, and 0.50: with r < 0.30 considered as a small correlation, 0.30 ≤ r < 0.50 as a medium correlation, and r 0.50 as a large correlation . Differences in mental health outcomes between those who did and did not meet the minimum physical activity recommendation of at least 150 min of moderate to vigorous physical activity per week, between poor and good sleepers, between hazardous and non-hazardous drinkers and smokers and non-smokers were investigated using Mann Whitney U - tests.Differences in the number of participants scoring above the cut-off for unhealthy lifestyle or mental health outcomes between both waves were explored with Fisher exact tests. Significance levels were set at P<0.05 for all analyses. The statistical analyses were performed with SPSS version 28.
Ethical considerations: the study was conducted in accordance with the Declaration of Helsinki . The study procedure was approved by the Mild may Uganda Research Ethics Committee (MUREC) (0405/2020). All participants gave their written informed consent. No financial compensation was provided, but all mental health wards received a 4-hour self-care workshop by the research team.
Characteristics of participants: none of the eligible mental health nurses working on the wards during the two testing days did refuse to complete the questionnaires (n=110). However, two files were excluded as the responses on the questionnaires had zero variance (i.e, participants gave the same response for all questions) (response rate = 98.2%). In total, 108 participants (age= 34.8 ± 10.0 years; 55.6% female, wave 1= 60, wave 2= 48) were included in the current study, indicating the study has sufficient power. Of these, exactly 100 or 92.6% scored above the cut-off score for psychological distress (K-6 ≥ 13; median =24.0; interquartile range =9.0) and 48 or 44.4% above the cut-off score for PTSD (PCL-5 ≥ 31; median =28.5; IQR =35.0). There was no difference in the number of participants scoring above the K-6 (P=0.28) and PCL-5 (P=0.44) cut-offs between the first and second COVID-19 wave. Eighty (74.1%) participants did not meet the physical activity guidelines, 82 or 75.9% reported poor sleep quality and 26 or 24.4% scored above the cut-off for harmful drinking (AUDIT-C ≥ 3 in women, ≥4 in men). Medians and IQRs were 17.0 (2.0) hours per day, 10.0 (23.2) minutes per day, 7.8 (15.0) minutes per day, 2.0 (60.0) minutes per day, 1.0 (0.0), and 0.0 (2.0) for SIMPAQ sedentary, SIMPAQ walking, SIMPAQ exercise, SIMPAQ incidental physical activity, PSQI and AUDIT-C respectively. There was only one male smoker who smoked two cigarettes per day. There was no difference between the first and second COVID-19 wave in the number of those who did meet physical activity guidelines (P=0.83), reported poor sleep quality (P=0.99), and those scoring above the cut-off for harmful drinking (P=0.99). There were no differences in PCL-5, K-6, SIMPAQ, PSQI and AUDIT-C scores between male and female nurses. There were also no significant associations between age and the continuous PCL-5, K-6, SIMPAQ, PSQI and AUDIT-C scores, nor age differences in those who did meet versus did not meet physical activity guidelines, poor sleep quality and those scoring above the cut-off for harmful drinking.
Associations between continuous lifestyle and mental health outcomes in Ugandan mental health nurses: as can be noticed in Table 1, small, significant Spearman Rho correlations were found between the PCL-5 total score and the SIMPAQ walking and SIMPAQ exercise scores. Similarly, a small significant correlation was found between the K-6 total score and the SIMPAQ exercise. No other significant correlations were found.
In mental health outcomes between subgroups of mental health nurses according to lifestyle factors: mental health nurses meeting the physical activity guidelines reported lower PCL-5 [15.0 (8.0) versus 33.0 (38.2)], P<0.001) and K-6 [22.0 (7.0) versus 25.0 (8.0), P=0.005] scores than those who did not. There was no significant difference in PCL-5 [29.0 (31.5) versus 16.0 (40.5)], P=0.27) and K-6 [24.0 (9.0) versus 25.0 (6.0), P=0.13] between those who reported a poor sleep quality and those who did not. Similarly, there was no significant difference in PCL-5 [38.0 (33.2) versus 28.0 (35.2)], P=0.82) and K-6 [24.0 (6.5) versus 24.0 (9.2), P=0.51] between those who reported harmful drinking patterns versus those who did not.
The current nationwide study in 8 regional referral hospitals and with a response rate of over 98% demonstrates that the mental health burden in mental health nurses working in a low-income country such as Uganda during the COVID-19 pandemic is very high. Almost 93% of 108 nurses scored above the cut-off for psychological distress based on the K-6 and more than 44% scored above the cut-off for PTSD based on the PCL-5. Our data indicate that resilience programs for mental health nurses, which in recent years have been introduced in high-income countries , are urgently needed in low-income countries such as Uganda as well. Our data furthermore demonstrate that lower levels of psychological distress and PTSD symptoms are observed in those who are sufficiently physically active, i.e those mental health nurses who meet the recommendation of the World Health Organization of at least 150 minutes of physical activity per week at, at least, moderate-intensity . Therefore, the current data provide an important rationale to explore the effectiveness and efficacy of the promotion of an active lifestyle as an important component of resilience programs. This is in line with very recent calls for higher-quality research establishing the efficacy and cost-effectiveness of different resilience interventions . Considering the high levels of physical inactivity, i.e 74% did not meet the physical activity recommendation of the World Health Organization , such programs might even benefit the majority of mental health nurses. Since associations were found for psychological distress with exercise levels and for PTSD symptoms with exercise and walking levels, such studies should, in particular, investigate whether increasing leisure and transport-related physical activity levels in mental health nurses might reduce the mental health burden.
There is evidence from the general population that increasing leisure-time physical activity and, to a lesser extent, transport-related physical activity improve mental wellbeing and reduce depression and anxiety more so than occupation-related physical activity or incidental physical activity [30,31]. Future studies in low-income countries such as Uganda should also explore the underlying mechanisms for the observed associations in more detail. There is evidence from clinical and non-clinical populations that several neurobiological and psychosocial pathways could clarify a reduction in mental health symptoms when being physically active. For example, neurobiological changes (e.g, increased cerebral blood volume and/or flow) and changes in peripheral biomarkers (e.g, increase in circulating growth factors, and anti-inflammatory markers) have been reported before in those being more physically active [32,33], while from a psychosocial perspective there is evidence that physical activity provides an opportunity for social interaction , and increases mastery in the physical domain (e.g, self-perceived fitness, self-esteem, self-efficacy) [35,36]. In contrast to what was hypothesized, and what has been observed recently in Chinese mental health nurses using similar assessment tools , we did not find any associations between poor sleep quality and psychological distress. While in the current study, 75.9% reported poor sleep quality and 92.6% psychological stress, among 812 Chinese mental health nurses working in a psychiatric hospital this was 53.1% used the PSQI and 46.9% used the K-10 instead of K-6 respectively. More research is needed to clarify the discrepancy with recent research, although a lack of power in our exploratory group comparisons might be a reason. Finally, the exploratory analyses did also not show significant differences in PCL-5 and K-6 between mental health nurses reporting harmful drinking levels versus those who did not. On the other hand, the high prevalence of harmful drinking, based on the AUDIT-C, in Ugandan mental health nurses is concerning, i.e. almost one in four scored above the cut-off score. With nurses´ health linked to their job satisfaction , this might have direct implications for the work environment and the care of patients. There might also be implications for the Ugandan community at large. Health education and health promotion have been identified as key roles in the profession . That nurses have a responsibility as role models for the community is questioned by some , but there is little challenge to the presumption that health professionals´ behaviors are an influence on the population .
Limitations: although the current findings indicate that a focus on the mental health burden and unhealthy lifestyle of mental health nurses in a low-income country such as Uganda is urgently needed, our data should be considered with caution. First, due to the cross-sectional design, the directionality of the relationships remains uncertain. As indicated, intervention studies are needed to disentangle the observed relationships. Second, the mental health nursing staff self-reported their physical activity and sedentary levels, sleep quality, drinking levels, and mental health status, potentially introducing reporting bias into the analysis. Future research should use objective diagnostic interviews and physical activity devices, such as accelerometers-inclinometers
Funding: this research was support by the Vlaamse Interuniversitaire Raad (VLIR-UOS) with a South Initiative grant (number SI-2019-01-21).
Despite the abovementioned limitations, the current data clearly demonstrate that almost all mental health nurses working during the COVID-19 pandemic in the regional hospitals in Uganda experience psychological distress, and almost half of them experience elevated post-traumatic stress. High levels of psychological distress and post-traumatic stress are associated with an unhealthy lifestyle, with almost three out of four mental health nurses being insufficiently physically active and reporting poor sleep, and one out of four reporting harmful drinking levels. From a policy and management perspective, mental health care settings should put strategies in place to reduce the high mental health burden of its nursing staff. Resilience programs for mental health nurses focusing on the importance of an active lifestyle should be investigated.
What is known about this topic
- While pre-COVID-19 rates already indicated a prevalence of 5 to 10% for severe depression and anxiety among mental health nurses from high-income countries, COVID-19 worsened the mental health burden in this population even more;
- Existing resilience programs for mental health nurses focus on collegial peer group interaction and cognitive-behavioural strategies such as managing negative self-talk and promoting positive self-talk but not on a healthy and active lifestyle.
What this study adds
- Almost all (93%) mental health nurses in Uganda report high psychological distress and almost half (45%) high levels of posttraumatic stress during the COVID-19 pandemic;
- With about three fourth not meeting the international physical activity guidelines and reporting poor sleep quality and one fourth scoring above the cut-off for harmful drinking, mental health nurses in Uganda live a very unhealthy life.
The authors declare no competing interests.
Both authors contributed in the development process of the current work; JM and DV conceptualised the study; data were collected by JM and DV and analysed by DV. Both authors wrote the first draft which was reviewed and revised in several rounds.The authors approved the final version and both authors certify that they have participated sufficiently in the work to believe in its overall validity and to take public responsibility for appropriate portions of its content. All the authors have read and agreed to the final manuscript.
We would like to thank the participants in the study.
Table 1: associations between lifestyle factors and mental health outcomes in 108 Ugandan mental health nurses working in general referral hospitals
- Dean L, Butler A, Cuddigan J. The impact of workplace violence toward psychiatric mental health nurses: identifying the facilitators and barriers to supportive resources. J Am Psychiatr Nurses Assoc. May-Jun 2021;27(3):189-202. PubMed | Google Scholar
- Tirgari B, Azizzadeh Forouzi M, Ebrahimpour M. Relationship between posttraumatic stress disorder and compassion satisfaction, compassion fatigue, and burnout in Iranian psychiatric nurses. J Psychosoc Nurs Ment Health Serv. 2019 Mar 1;57(3):39-47. PubMed | Google Scholar
- Weinberg A, Creed F. Stress and psychiatric disorder in healthcare professionals and hospital staff. Lancet. 2000 Feb 12;355(9203):533-7. PubMed | Google Scholar
- Foster K, Roche M, Giandinoto JA, Platania-Phung C, Furness T. Mental health matters: a cross-sectional study of mental health nurses´ health-related quality of life and work-related stressors. Int J Ment Health Nurs. 2021 Jun;30(3):624-634. PubMed | Google Scholar
- Foster K, Roche M, Giandinoto JA, Furness T. Workplace stressors, psychological well-being, resilience, and caring behaviours of mental health nurses: a descriptive correlational study. International Journal of Mental Health Nursing. 2020;29(1):56-68. PubMed | Google Scholar
- Delgado C, Roche M, Fethney J, Foster K. Mental health nurses´ psychological well-being, mental distress, and workplace resilience: a cross-sectional survey. Int J Ment Health Nurs. 2021 Oct;30(5):1234-1247. PubMed | Google Scholar
- Foye U, Dalton-Locke C, Harju-Seppänen J, Lane R, Beames L, Vera San Juan N et al. How has COVID-19 affected mental health nurses and the delivery of mental health nursing care in the UK? results of a mixed-methods study. J Psychiatr Ment Health Nurs. 2021 Apr;28(2):126-137. PubMed | Google Scholar
- Johnson S, Dalton-Locke C, San Juan NV, Foye U, Oram S, Papamichail A et al. Impact on mental health care and on mental health service users of the COVID-19 pandemic: a mixed methods survey of UK mental health care staff. Soc Psychiatry Psychiatr Epidemiol. 2021 Jan;56(1):25-37. PubMed | Google Scholar
- King M, Farrington A, Donohue G, McCann E. Psychological impact of the COVID-19 pandemic on mental health nurses. Issues Ment Health Nurs. 2022 Apr;43(4):300-307 PubMed | Google Scholar
- Molodynski A, Cusack C, Nixon J. Mental healthcare in Uganda: desperate challenges but real opportunities. BJ Psych Int. 2017 Nov 1;14(4):98-100. PubMed | Google Scholar
- Migisha R, Ario AR, Kwesiga B, Bulage L, Kadobera D, Kabwama SN et al. Risk perception and psychological state of healthcare workers in referral hospitals during the early phase of the COVID-19 pandemic, Uganda. BMC Psychol. 2021 Dec 17;9(1):195. PubMed | Google Scholar
- Delgado C, Roche M, Fethney J, Foster K. Workplace resilience and emotional labour of Australian mental health nurses: results of a national survey. Int J Ment Health Nurs. 2020 Feb;29(1):35-46.. PubMed | Google Scholar
- Foster K, Cuzzillo C, Furness T. Strengthening mental health nurses' resilience through a workplace resilience programme: a qualitative inquiry. J Psychiatr Ment Health Nurs. 2018 Jun;25(5-6):338-348. PubMed | Google Scholar
- Foster K, Roche M, Delgado C, Cuzzillo C, Giandinoto JA, Furness T. Resilience and mental health nursing: an integrative review of international literature. Int J Ment Health Nurs. 2019 Feb;28(1):71-85. PubMed | Google Scholar
- McLarnon MJ, Rothstein MG. Development and initial validation of the workplace resilience inventory. Journal of Personnel Psychology. 2013;12(2):63. Google Scholar
- Rosenbaum S, Morell R, Abdel-Baki A, Ahmadpanah M, Anilkumar TV, Baie L et al. Assessing physical activity in people with mental illness: 23-country reliability and validity of the simple physical activity questionnaire (SIMPAQ).BMC Psychiatry. 2020 Mar 6;20(1):108. PubMed | Google Scholar
- Greenwood JL, Joy EA, Stanford JB. The physical activity vital sign: a primary care tool to guide counseling for obesity. J Phys Act Health. 2010 Sep;7(5):571-6. PubMed | Google Scholar
- Buysse DJ, Reynolds III CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213 PubMed | Google Scholar
- Bradley KA, DeBenedetti AF, Volk RJ, Williams EC, Frank D, Kivlahan DR. AUDIT-C as a brief screen for alcohol misuse in primary care. Alcohol Clin Exp Res. 2007 Jul;31(7):1208-17 PubMed | Google Scholar
- Faul F, Erdfelder E, Lang AG, Buchner A. G* power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007 May;39(2):175-91. PubMed | Google Scholar
- Cohen J. Statistical power analysis for the behavioral sciences. Routledge; 2013 May 13. Google Scholar
- Vancampfort D, Basangwa D, Rosenbaum S, Ward PB, Mugisha J. Test-retest reliability and correlates of the simple physical activity questionnaire in Ugandan out-patients with psychosis. Afr Health Sci. 2020 Sep;20(3):1438-1445. PubMed | Google Scholar
- Kuntz JL, Young DR, Saelens BE, Frank LD, Meenan RT, Dickerson JF et al. Validity of the exercise vital sign tool to assess physical activity. Am J Prev Med. 2021 Jun;60(6):866-872. PubMed | Google Scholar
- Vancampfort D, Probst M, Basangwa D, De Hert M, Myin-Germeys I, van Winkel R et al. Adherence to physical activity recommendations and physical and mental health risk in people with severe mental illness in Uganda. Psychiatry Res. 2018 Feb;260:236-240. PubMed | Google Scholar
- Vancampfort D, Van Damme T, Probst M, Firth J, Stubbs B, Basangwa D et al. Physical activity is associated with the physical, psychological, social and environmental quality of life in people with mental health problems in a low resource setting. Psychiatry Res. 2017 Dec;258:250-254. PubMed | Google Scholar
- Kuteesa MO, Cook S, Weiss HA, Kamali A, Weinmann W, Seeley J et al. Comparing alcohol use disorders identification test (AUDIT) with timeline follow back (TLFB), DSM-5 and phosphatidylethanol (PEth) for the assessment of alcohol misuse among young people in Ugandan fishing communities. Addict Behav Rep. 2019 Nov 11;10:100233. PubMed | Google Scholar
- World Medical Association. World medical association declaration of Helsinki. Ethical principles for medical research involving human subjects. Bull World Health Organ. 2001;79(4):373-4. PubMed | Google Scholar
- Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020 Dec;54(24):1451-1462. PubMed | Google Scholar
- Foster A, Wood E, Clowes M. Identifying the evidence base of interventions supporting mental health nurses to cope with stressful working environments: a scoping review. J Nurs Manag. 2021 Sep;29(6):1639-1652. PubMed | Google Scholar
- Schuch FB, Werneck AO, Vancampfort D, Stubbs B, Teychene M, Lotufo PA et al. Cross-sectional associations of leisure and transport related physical activity with depression and anxiety. J Psychiatr Res. 2021 Aug;140:228-234. PubMed | Google Scholar
- White RL, Babic MJ, Parker PD, Lubans DR, Astell-Burt T, Lonsdale C. Domain-specific physical activity and mental health: a meta-analysis. Am J Prev Med. 2017 May;52(5):653-666. PubMed | Google Scholar
- Voss MW, Vivar C, Kramer AF, van Praag H. Bridging animal and human models of exercise-induced brain plasticity. Trends Cogn Sci. 2013 Oct;17(10):525-44. PubMed | Google Scholar
- Schuch F, Dunn A, Kanitz A, Delevatti R, Fleck M. Moderators of response in exercise treatment for depression: a systematic review. J Affect Disord. 2016 May;195:40-9. PubMed | Google Scholar
- Stevens M, Lieschke J, Cruwys T, Cárdenas D, Platow MJ, Reynolds KJ. Better together: how group-based physical activity protects against depression. Soc Sci Med. 2021 Oct;286:114337. PubMed | Google Scholar
- Neumann R, Ahrens K, Kollmann B, Goldbach N, Chmitorz A, Weichert D et al. The impact of physical fitness on resilience to modern life stress and the mediating role of general self-efficacy. Eur Arch Psychiatry Clin Neurosci. 2022 Jun;272(4):679-692. PubMed | Google Scholar
- Kandola A, Ashdown-Franks G, Hendrikse J, Sabiston CM, Stubbs B. Physical activity and depression: towards understanding the antidepressant mechanisms of physical activity. Neurosci Biobehav Rev. 2019 Dec;107:525-539. PubMed | Google Scholar
- Wang B, Lu Q, Sun F, Zhang R. The relationship between sleep quality and psychological distress and job burnout among Chinese psychiatric nurses. Ind Health. 2021 Nov 29;59(6):427-435. PubMed | Google Scholar
- Chung H-C, Chen Y-C, Chang S-C, Hsu W-L, Hsieh T-C. Nurses´ well-being, health-promoting lifestyle and work environment satisfaction correlation: a psychometric study for development of nursing health and job satisfaction model and scale. Int J Environ Res Public Health. 2020 May 20;17(10):3582. PubMed | Google Scholar
- Wand T, Glover S, Paul D. What should be the future focus of mental health nursing? Exploring the perspectives of mental health nurses, consumers, and allied health staff. Int J Ment Health Nurs. 2022 Feb;31(1):179-188. PubMed | Google Scholar
- Kelly M, Wills J, Jester R, Speller V. Should nurses be role models for healthy lifestyles? Results from a modified Delphi study. J Adv Nurs. 2017 Mar;73(3):665-678. PubMed | Google Scholar
- Perry L, Xu X, Gallagher R, Nicholls R, Sibbritt D, Duffield C. Lifestyle health behaviors of nurses and midwives: the'fit for the future´study. Int J Environ Res Public Health. 2018 May 9;15(5):945. PubMed | Google Scholar