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Erschienen in: Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) 1/2021

Open Access 15.01.2021 | Hauptbeiträge - Thementeil

Mental work ability: young professionals with mental health problems perceive lower levels of soft skills

verfasst von: Prof. Dr. Beate Muschalla, Isabel Kutzner, M.Sc.

Erschienen in: Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) | Ausgabe 1/2021

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Abstract

This article published in Gruppe Interaktion Organisation (GIO) reports study results on soft skills and mental work ability in young professionals ready to enter the job market. The so-called soft skills (psychological capacities) are nowadays an entrance ticket into the modern working world. Thus, the question is to which degree young professionals who will soon enter the labor market are fit in their soft skills. Are physical or mental health problems related with deficits in soft skills? Which dimensions of soft skills are impaired?
365 young professionals in advanced education from a technical college, who will soon enter the labor market, were investigated via online-questionnaire. Participants were asked to rate their self-perceived capacity level according to Mini-ICF-APP, mental and physical health problems, exam and education-related anxiety, self-efficacy and procrastination.
Students with mental health problems had higher exam anxiety, and lower study-related self-efficacy as compared to students without health problems at all, or students with physical health problems. But, procrastination behavior was similarly present among students with mental health problems and students with physical health problems. Students with health problems did not report globally weaker capacity levels. Lower levels of capacities depend on the type of health problem: In students with mental health problems, social soft skills were impaired rather than content-related capacities. Physical health problems do not affect the self-perceived psychological capacities.
In conclusion, focusing on specific soft skills in training and work adjustment could be fruitful in addition (or as an alternative) to training of profession-specific expertise.

1 Work requires psychological capacities

Our modern world of work requires a considerable proportion of psychological capacities, tendentially becoming constantly more important. These are for example demands for flexibility, contacts with others and group integration, decision making and judgements, endurance and proactivity (Linden et al. 2010, 2015; Parker and Bindl 2017; West et al. 2009). Young people who will be next to enter the labor market are confronted with these psychological capacity demands, even at the beginning of their professional and academic education (“studies”) period (Goastellec and Ruiz 2015; Schmidt et al. 2019).
Recent studies showed that young people are not only faced with demands for psychological capacities before entering the labor market. A part of them are also already suffering from physical or mental health problems or even both (Pacheco et al. 2017; Wege et al. 2016; Auerbach et al. 2018; Mullins et al. 2017).
Chronic health problems are usually life-long health problems, starting often at a young age (Stansfeld et al. 2008). The problem is that they usually do not make the entry into and success within the labor market easier (Varekamp et al. 2006; Small et al. 2016).
Young professionals affected from health problems are faced with work participation problems and the need to cope with them. Research has shown that observed and self-perceived health-related participation problems are congruent (Linden et al. 2018b).
Build on these facts, the research question arises how young professionals with different health problems perceive their own psychological capacity level, in comparison to healthy students. This will shed light on the type of possible impairments and may give way for specific actions: workplace adjustment or trainings concerning specific capacities.

1.1 Psychological demands in modern working world and professional education

The modern working world requires psychological capacities such as proactivity and crafting a job, fulfilling one or more prescribed roles which may interact, team work capacity, coping with decision latitudes, and others (Parker et al. 2017). Such psychological work demands have been broadly investigated in work psychology research (Parker et al. 2017; Linden et al. 2015).
Professional education takes place in a relatively predefined life context, i.e. younger age, a limited time duration in which a certain goal (finishing education and earning a professional degree) shall be fulfilled. These are concrete goals and reaching them requires certain psycho-mental capacities, i.e. interactional soft skills and cognitive capacities (Goastellec and Ruiz 2015). The latter are general capacities of planning and structuring one’s studies, self-management and proactivity, and—concerning the content of the respective subject or profession—the capacity to apply expertise and to make decisions and judgments.
Occurring problems during professional education can be observed in prolongation of education, i.e. delay in finishing the studies, exam anxiety (potentially especially in higher study years, Manisha et al. 2019), procrastination, and accompanying loss of (work-related) self-efficacy (e.g. Alonso et al. 2018; Middendorff et al. 2017; Naim et al. 2014). There might be structural reasons for problems in education, like the necessity to have a part-time job in parallel to an academic education, or family responsibilities (Porchea et al. 2010).
Analogous to mental work ability demands in all domains of work, also professional and academic education poses mental capacity demands, such as (international) mobility, life-long learning expectation, broad choices of what and where to study, and perceived stress—even if the latter is rather independent from objective work load which has hardly changed over the time (Huisman and van der Wende 2004; Schmidt et al. 2019).
Despite that, there are health-related reasons for problems in education too, i.e. mental or physical illness. In case of widely exceeded duration of education, higher costs for extended educational fees embody an additional burden.

1.2 Mental health problems

According to the modern health definition by the WHO (ICF 2001), health problems should be described with a multidimensional biopsychosocial perspective by considering person factors (socio-demographics, specific characteristics), context factors (e.g. work demands), symptoms (e.g. exam or college anxiety) and activities/capacities (i.e. procrastination behavior, adjustment to rules, flexibility, proactivity) of the person.
Internationally, mental health problems are becoming the greatest health burden. Mental health problems occur in all societal groups, including young professionals and young academics. Mental health problems are associated with psychological capacity disorders, and social participation problems, such as work disability and sick leave (Linden et al. 2010, 2018; Stansfeld et al. 2008). Capacities represent clusters of activities a person can carry out, e.g. adherence to rules, flexibility, proactivity, planning and structuring, group interaction or self care. Capacities rather than symptoms are explanative for work ability (Gatchel et al. 1994; Linden et al. 2010). In social-medicine, the concept of capacities according to the internationally evaluated Mini-ICF-APP (Linden et al. 2009) is routinely used according to guidelines (DRV 2012; SGVP 2012).
Similar to the epidemiology within the general population, the percentage of mental health problems among young professionals and students amounts approximately 30% (Auerbach et al. 2018). Mental health problems are known to be associated with capacity disorders and impairment (Linden et al. 2018), which is found in students as well (Alonso et al. 2018). 25–36% of those who fulfill the criteria of any mental disorder according to DSM‑V report to be in a treatment (Bruffaerts et al. 2019).
The topic mental health in young professionals and students is currently getting more and more attention (Cuijpers et al. 2019; Ebert et al. 2018), including interventions (Harrer et al. 2018). The question is which factors may be associated with impairment—resulting in extended years of education or frequent or long sick leave absence—among some young persons who have mental health problems.
Mental health problems such as loss of motivation, problems with time management, learning deficits, missing contacts to colleagues, fear towards supervisors, problems with self-organization and exam anxieties may occur. Moreover, structural conditions may contribute to prolongation of education. Deficits in exam organization, exams with a high failing rate or studies with admission restriction may contribute to perceived problems. The study subject does not play an important role in prolonged education (Terbuyken 2005). Support and coaching by the educational institution may reduce problematic prolongation of education.
Person-related aspects which may be problematic and thus might contribute to prolongation of education duration are perceived low self-efficacy, high exam anxiety (Naim et al. 2014), high procrastination and perceived deficits in psycho-mental capacities, such as interactional soft skills, work and organizational capacities and expertise-related capacities.
Another aspect which could be associated with absence and problems in education is college phobic anxiety. This phenomenon has been described early (Hodgman and Braiman 1965) and means, similar to workplace phobic anxiety (Muschalla and Linden 2009), that the affected person suffers from intense fear when thinking about or coming near the education/college place, resulting in an avoidance behavior, which may present itself as increased absence durations. College phobic anxiety is thus more general than exam anxiety. Exam anxiety affects specifically examination situations and does not mean general avoidance behavior towards the educational institution.

1.3 Question of research

Why is it important to study mental health in young professionals who are presently in the last phase of their education? Young persons are the future working persons who built the stability of societies. The working world is changing with increased demands for coping with mental demands at work (instead of physical demands) (von Ameln and Wimmer 2016). Thus, it is important to know about the empirical reality of mental capacity levels, and possible determinants and accompanying factors of mental capacity (and in some cases even capacity impairment) in the group of presumably “fit” persons of their cohorts.
Since the modern working world requires psychological capacities respective soft skills (Linden et al. 2018; von Ameln and Wimmer 2016), but nothing is presently known about the capacity profiles of young professionals right before entrance into working life, it is of interest which capacity dimensions may be endangered to be vulnerable or in some persons even impaired. Then, interventions may address the concrete capacity dimensions of interest—be it for person trainings, or adjustment of education programs and work tasks.
The explorative questions of research are therefore:
1.
Are there differences in personal factors (age, sick leave duration, college-related anxiety, procrastination behavior, study-related self-efficacy, exam anxiety) in young professionals without health problems, young professionals with physical health problems and young professionals with mental health problems?
 
2.
Are there differences in the subjective perception of their psychological capacities in young professionals without health problems, young professionals with physical health problems, and young professionals with mental health problems?
 
3.
Are there differences in the subjective perception of their psychological capacities in young professionals (with mental health problems) in comparison to mid-aged persons (with mental health problems)?
 
4.
(To which degree) are weak psychological capacity levels associated with mental or physical health problems?
 

2 Method

An online questionnaire was distributed in different colleges. In order to gather a heterogeneous sample, all subjects and types of colleges (state and private, scientific and practice-oriented colleges) were included. Participants filled in their socio-demographics, including study-related aspects: number of semesters studied until now, high-school leaving degree, absence duration from their educational setting within the past 12 months. Additionally, the students were asked whether they suffered from a physical or a mental health problem, or both.
Psychometric scales were then given, including the exam anxiety scale (Hodapp et al. 2011), the Procrastination Scale (GPS‑K, Klingsiek and Fries 2018), the scale for self-efficacy in studies (adapted from Schyns and Collani 2002), the college phobia scale (adapted from the workplace phobia scale WPS, Muschalla and Linden 2009), and the psycho-mental capacities self-rating Mini-ICF-APP‑S (Linden et al. 2018).
553 young professionals opened the questionnaire, and 365 finished and could be included into analysis with full data. 238 had no health problems, 47 had physical health problems, 40 had mental health problems, and 40 had physical and mental health problems.

2.1 Participants

Young professionals were on average 23.11 years old (SD = 3.7), 67.9% were female, 92.5% were in education at a state college, 7.5% at a private college. Students had a high school leaving degree of on average 2.19 (SD = 0.77), were presently studying for averaging 6.5 (SD = 4.45) semesters in total and 4 (SD = 2.9) semesters in their current professional field. They have been on sick leave for averagely 1.75 (SD = 4.54) weeks within the past 12 months, 35% said that they have any health problem and 75% among these said that the health problem impaired their studies. Most (85%) of the students had hobbies, 24.1% lived with a partner, 39.8% lived in shared apartment or in dormitories, 17.3% in their parents’ home, 18.9% on their own. 3% had already children. Most of the students (74.9%) got financial support for studies from their parents, 48.7% had an additional job parallel to education, 22.5% obtained financial support from the state (Bafög).
The investigated young professionals in this study are in most aspects similar to a national representative German student sample (N = 67,007; Middendorff et al. 2017): Students from that national sample were on average 24.7 years old, 48% had a partnership, 6% had children, 11% reported health problems which impair their studies (47% of these due to mental health problems). Concerning financial study support, 86% reported support by their parents, 61% had a job parallel to studies, 25% perceived state financial support. A difference is that within the here investigated students there were more females than in the national sample (48%).

2.2 Instruments

Item examples, rating formats and number of items of the self-rating scales used in this study are displayed in Table 1.
Table 1
Instruments for assessment of psychological capacities, college phobia, exam anxiety, procrastination and self-efficacy
Scale
Dimensions or item examples
Rating
Cronbachs alpha
Mini-ICF-APP‑S
(Linden et al. 2018), 13 items,
based on the Mini-ICF-APP capacity observer-rating (Linden et al. 2009)
Dimensions:
(1) adjust to rules and routines,
(2) plan and structure tasks,
(3) be flexible,
(4) apply knowledge,
(5) make decisions,
(6) be proactive,
(7) be enduring,
(8) be assertive,
(8) interact with other persons,
(10) integrate in groups,
(11) build dyadic relations,
(12) care for oneself, and
(13) move around
Bipolar rating from
0 = this is definitely a strength of mine to
3 = this is somehow possible to
4 = this does not always work to
7 = I am fully unfit to do this
0.789
College Phobia Scale CPS
6 items, based on and adapted from the Workplace Phobia Scale (Muschalla and Linden 2009)
Item examples:
“I feel severely uncomfortable when I am at college”,
“I had to go on sick leave once or for several times because I could not stand the problems at college any longer”,
“When imagining I have to pass a complete day at college, I get feelings of panic.”
Likert-scale from
0 = no anxiety to
4 = severe anxiety
0.876
Exam Anxiety Scale
(Hodapp et al. 2011),
20 items
Item examples:
“I feel anxious”,
“I think about what happens if I do bad”,
“I have sudden thoughts in my head which make me blocked”
Likert-scale from
1 = almost never to
4 = almost always
0.890
Procrastination Scale GPS‑K
(Klingsiek and Fries 2018),
9 items
Item examples:
“I usually get my tasks finished only shortly before the deadline” or
“I usually finish tasks earlier than necessary”
Likert scale from
1 = typical to
5 = untypical
0.927
Self-efficacy in education Scale
8 items,
adapted from the scale for occupational self-efficacy (Schyns and Collani 2002)
Item examples:
“In case unexpected events occur I know how I should behave”
“I see problems in my studies relaxed because I can trust in my capacities”
Likert scale from
1 = not at all to
6 = completely correct
0.882
Mini-ICF-APP-S
An instrument to quantify psychological capacities, or soft skills, is the Mini-ICF-APP (Mini-ICF rating for activity and participation disorders in mental illness, Linden et al. 2009, 2015; Balestrieri et al. 2013; Molodynski et al. 2013). It has become a standard in guidelines for socio-medical expert assessments (DRV 2012; SGVP 2012). The Mini-ICF-APP capacity concept has proven validity in the sense of correlations with the ability to work and the dimensions of the Groningen Social Disability Schedule (Wiersma et al. 1990). It posesses sensitivity to change (Linden et al. 2015). There are 13 capacity dimensions (Table 1). In the Mini-ICF-APP‑S, participants are asked to give a rating how well they are in the 13 capacities. Detailed descriptions of the dimensions are given and the ratings are described on a behavioral level. The bipolar rating prevents a bias towards aggravation of incapacity in clinical samples. The Mini-ICF-APP‑S has been successfully evaluated in a large survey with clinical (n = 1143) and general population (n = 102) samples (Linden et al. 2018).
College phobia scale
The College Phobia Scale, CPS, measures college-related anxiety. It is an adapted version of the evaluated Workplace Phobia Scale (WPS, Muschalla and Linden 2009), which measures panic and avoidance behaviour towards the workplace. For the presently used college phobia version, each item of the WPS has been adjusted to read “at college” instead of “at work”. The college phobia scale is given to the participants under the title ‘questionnaire on college problems’ which examines ‘behaviour, thoughts, and feelings which can occur in relation to college’. In different working samples, about 4–5% of general population report high work phobic anxiety (Vignoli et al. 2017; Muschalla et al. 2013). A mean score from the college phobia scale reflects the overall college phobic anxiety.
Exam anxiety
The exam anxiety scale (Hodapp et al. 2011) is self-rating for thoughts and feelings in exam situations. Exam anxiety has been operationalized as situation-specific characteristic which includes the dimensions tenseness, worrying, interference and defect in optimism. The person is asked to say to which degree s/he normally feels anxiety in situations of examination.
General procrastination scale
The Procrastination Scale (GPS‑K, Klingsiek and Fries 2018) describes dysfunctional postponement of duties in spite of knowing it should be done now.
Self-efficacy in education
The adapted scale for occupational self-efficacy (Schyns and Collani 2002) measures how strongly a person is convinced to conduct a certain behavior within the education and studying context.
Chronic health problems
Participants were asked: “Do you suffer from health problems?” If they stated “yes”, they were asked: “Are your health problems chronic?” and which type: “mental disorder”, or “physical disorder”. If a participant had both, s/he marked both mental and physical disorder in the questionnaire.
Similarly, in studies in outpatient service, such self-reports of chronic (mental) health issues have been assessed (Muschalla and Linden 2014; Linden et al. 2018b) and regularly turn out to be valid in comparison with structured diagnostic interviews or observer-ratings.

3 Results

Young professionals with mental health problems have higher exam anxiety (Table 2), and lower study-related self-efficacy as compared to those without health problems at all, or those with physical health problems.
Table 2
Characteristics of students without health problems, with physical health problems, with mental health problems, or with physical and mental health problems combined (N = 365)
Characteristics
OH
Students without health problems (n = 238)
PH
Students with physical health problems
(n = 47)
MH
Students with mental health problems
(n = 40)
PMH
Students with both physical and mental health problems
(n = 40)
Significance of difference between the groups (T-test or X2-Test)
Post-hoc tests, Bonferroni adjusted p
Age
22.70 (3.57)
23.80 (4.59)
23.43 (3.22)
24.18 (5.00)
OHvsPH. 567
OHvs.MH 1.000
OHvsPMH. 151
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
Sex female (%)
61.6%
81.6%
86.7%
89.5%
OHvsPH. 066
OHvs.MH. 004
OHvsPMH. 002
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
High school leaving grade
(1 best—
4 sufficient)
2.18 (0.77)
2.17 (0.49)
2.18 (1.16)
2.24 (0.69)
OHvsPH 1.000
OHvs.MH 1.000
OHvsPMH 1.000
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
Number of college semester presently studying
6.03 (4.20)
7.30 (5.23)
6.06 (4.15)
7.65 (4.68)
OHvsPH. 542
OHvs.MH 1.000
OHvsPMH. 186
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH. 557
Sick leave duration in weeks in the past 12 months, illness-related absence from university
0.89 (2.20)
2.85 (8.21)
2.66 (3.80)
5.77 (9.26)
OHvsPH. 085
OHvs.MH. 106
OHvsPMH. 000
PHvsMH 1.000
PHvsPMH. 032
MHvsPMH. 012
Other absence duration in weeks in the past 12 months
1.45 (3.10)
2.08 (3.33)
1.44 (1.79)
2.59 (4.46)
OHvsPH 1.000
OHvs.MH 1.000
OHvsPMH. 216
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH. 561
College-related anxiety
(0 = low
4 = high)
0.49 (0.61)
0.63 (0.63)
1.33 (0.95)
1.51 (1.02)
OHvsPH 1.000
OHvs.MH. 000
OHvsPMH. 000
PHvsMH. 000
PHvsPMH. 000
MHvsPMH 1.000
College-related self-efficacy
(1 = low
6 = high)
3.94 (0.77)
3.84 (0.71)
3.05 (0.91)
3.33 (0.79)
OHvsPH 1.000
OHvs.MH. 000
OHvsPMH. 000
PHvsMH. 000
PHvsPMH. 023
MHvsPMH. 579
Exam anxiety
(1 = never
4 = always)
2.17 (0.43)
2.25 (0.54)
2.74 (0.74)
2.73 (0.52)
OHvsPH 1.000
OHvs.MH. 000
OHvsPMH. 000
PHvsMH. 000
PHvsPMH. 000
MHvsPMH 1.000
Procrastination behavior
(1 = not typical
5 = very typical)
3.04 (0.95)
3.23 (0.94)
3.41 (1.12)
3.22 (0.99)
OHvsPH 1.000
OHvs.MH. 108
OHvsPMH 1.000
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
However, procrastination behavior is similarly present in young professionals with mental health problems and young professionals with physical health problems. Furthermore, sick leave is similar in young professionals with mental or physical health problems, but those who suffer from both are significantly longer on sick leave than all others.
There are no differences in age, high school leaving degree or number of study duration. In the groups of young professionals with any kind of health problem, women are over-represented.

3.2 Psychological capacities

Young professionals with mental health problems perceive a part of their capacities (Table 3) lower than do young professionals with physical or without health problems: Those with mental health problems reported lower capacity levels in flexibility, proactivity, endurance, self-care. Similarly, they perceived partly lower capacity level in social capacity dimensions i.e. contacts with thirds, group capacity, assertiveness.
Table 3
Soft skills according to Mini-ICF-APP-S: students without health problems, with physical health problems, with mental health problems, or with physical and mental health problems combined (N = 365)
Soft Skills according to Mini-ICF-APP‑S
Ratings for all capacity dimensions:
0 = This is clearly a strength of mine,
7 = I am fully unfit
OH
Students without health problems (n = 238)
PH
Students with physical health problems
(n = 47)
MH
Students with mental health problems
(n = 40)
PMH
Students with both physical and mental health problems
(n = 40)
Significance of difference between the groups
Post-hoc tests, Bonferroni adjusted
p
General population sample
GP (N = 102, Linden et al. 2018)
Persons with mental disorders
GM (N = 1143, Linden et al. 2018)
Significance of difference in T‑test
Adherence to regulations
1.21 (1.18)
1.33 (1.14)
1.45 (1.25)
1.25 (1.03)
OHvsPH 1.000
OHvs.MH 1.000
OHvsPMH 1.000
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
1.25 (1.21)
1.62 (1.50)
MHvsGP 1.000
MHvsGM 1.000
OHvsGP 1.000
OHvsGM 1.000
Planning and structuring of tasks
1.92 (1.44)
1.83 (1.13)
2.68 (1.68)
2.10 (1.63)
OHvsPH 1.000
OHvs.MH 0.008
OHvsPMH 1.000
PHvsMH 0.042
PHvsPMH 1.000
MHvsPMH 0.397
1.53 (1.28)
2.37 (1.71)
MHvsGP < 0.001
MHvsGM 1.000
OHvsGP 1.000
OHvsGM < 0.001
Flexibility and ability to adapt to changes
2.24 (1.18)
1.93 (1.33)
3.19 (1.45)
3.15 (1.33)
OHvsPH 0.817
OHvs.MH 0.000
OHvsPMH 0.000
PHvsMH 0.000
PHvsPMH 0.000
MHvsPMH 1.000
1.86 (1.15)
3.33 (1.76)
MHvsGP < 0.001
MHvsGM 1.000
OHvsGP < 0.001
OHvsGM < 0.001
Competency and application of knowledge
2.03 (1.07)
2.10 (1.13)
2.36 (1.33)
2.23 (1.14)
OHvsPH 1.000
OHvs.MH 0.361
OHvsPMH 1.000
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
1.53 (1.31)
2.14 (1.53)
MHvsGP < 0.001
MHvsGM 1.000
OHvsGP < 0.001
OHvsGM 1.000
Ability to make decisions and judgments
1.74 (0.96)
1.55 (0.99)
1.89 (1.15)
1.68 (1.07)
OHvsPH 1.000
OHvs.MH 1.000
OHvsPMH 1.000
PHvsMH 0.671
PHvsPMH 1.000
MHvsPMH 1.000
1.59 (1.09)
2.24 (1.48)
MHvsGP 1.000
MHvsGM < 0.001
OHvsGP 1.000
OHvsGM < 0.001
Proactivity and spontaneous activity
2.38 (1.43)
2.15 (1.55)
3.11 (1.51)
3.18 (1.72)
OHvsPH 1.000
OHvs.MH 0.014
OHvsPMH 0.011
PHvsMH 0.018
PHvsPMH 0.014
MHvsPMH 1.000
1.88 (1.37)
3.07 (1.80)
MHvsGP < 0.001
MHvsGM 1.000
OHvsGP < 0.001
OHvsGM < 0.001
Endurance and perseverance
2.42 (1.48)
2.70 (1.62)
3.72 (2.00)
3.73 (1.66)
OHvsPH 1.000
OHvs.MH 0.000
OHvsPMH 0.000
PHvsMH 0.018
PHvsPMH 0.025
MHvsPMH 1.000
2.09 (1.56)
2.68 (1.81)
MHvsGP < 0.001
MHvsGM < 0.001
OHvsGP 1.000
OHvsGM 1.000
Assertiveness
2.45 (1.37)
2.58 (1.45)
3.40 (1.41)
2.95 (1.91)
OHvsPH 1.000
OHvs.MH 0.000
OHvsPMH 0.257
PHvsMH 0.050
PHvsPMH 1.000
MHvsPMH 0.881
2.13 (1.37)
3.33 (1.81)
MHvsGP < 0.001
MHvsGM 1.000
OHvsGP 1.000
OHvsGM < 0.001
Contact with others and small talk
2.56 (1.64)
1.94 (1.72)
3.21 (1.94)
2.95 (1.85)
OHvsPH 0.232
OHvs.MH 0.105
OHvsPMH 1.000
PHvsMH 0.004
PHvsPMH 0.057
MHvsPMH 1.000
1.68 (1.34)
2.68 (1.81)
MHvsGP < 0.001
MHvsGM < 0.001
OHvsGP < 0.001
OHvsGM 1.000
Group integration
1.93 (1.28)
1.73 (1.57)
2.62 (1.61)
2.48 (1.24)
OHvsPH 1.000
OHvs.MH 0.010
OHvsPMH 0.114
PHvsMH 0.014
PHvsPMH 0.083
MHvsPMH 1.000
1.48 (1.17)
2.49 (1.55)
MHvsGP < 0.001
MHvsGM 1.000
OHvsGP 1.000
OHvsGM < 0.001
Dyadic or close relations
1.55 (1.42)
1.45 (1.39)
1.79 (1.80)
1.43 (1.06)
OHvsPH 1.000
OHvs.MH 1.000
OHvsPMH 1.000
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
1.29 (1.34)
1.83 (1.65)
MHvsGP 1.000
MHvsGM 1.000
OHvsGP 1.000
OHvsGM 1.000
Self-care
2.12 (1.42)
1.75 (1.32)
3.21 (1.78)
2.88 (1.52)
OHvsPH 0.837
OHvs.MH 0.000
OHvsPMH 0.017
PHvsMH 0.000
PHvsPMH 0.004
MHvsPMH 1.000
2.00 (1.30)
2.90 (1.56)
MHvsGP < 0.001
MHvsGM < 0.001
OHvsGP 1.000
OHvsGM 1.000
Mobility
0.68 (0.84)
1.23 (1.51)
1.34 (1.24)
1.05 (1.20)
OHvsPH 0.013
OHvs.MH 0.000
OHvsPMH 0.229
PHvsMH 1.000
PHvsPMH 1.000
MHvsPMH 1.000
0.68 (0.95)
2.47 (1.79)
MHvsGP < 0.001
MHvsGM < 0.001
OHvsGP < 0.001
OHvsGM < 0.001
One capacity which turned out to be a slight problem among young professionals with health problems (in a mental as well as in a physical manner) was mobility: They rated their mobility capacity lower than young professionals without any health problem.
Adjustment to rules and routines, decision making and judgment together with applying expertise were similar in all groups, indicating no significant difference between young professionals with or without any type of health problems.
In comparison to the capacity levels of older persons with mental health problems (average age 50 years, Linden et al. 2018), young professionals with mental health problems show similar results in their capacity self-rating (Table 3). The only exceptions are that young professionals with mental health problems judge themselves better in decision making and mobility, but worse in endurance and making contacts.
Interestingly, healthy students perceive their capacities partly lower than older persons from the general population, namely in flexibility, competency, proactivity and contacts.

3.3 Capacities and health problems

Capacities are independent from age, sex, high school leaving grade and physical health problems (Table 4). In contrast, lower perceived mental capacities are rather consistently associated with mental health problems and specific behavioral problems like college anxiety, exam anxiety, procrastination behavior, low study-related self-efficacy.
Table 4
Spearman correlations of soft skills according to Mini-ICF-APP‑S and students characteristics
Soft Skills according to Mini-ICF-APP‑S
Age
Sex female
High school leaving grade
Number of college semester presently studying
Sick leave duration in weeks in the past 12 months
Other absence duration in weeks in the past 12 months
College-related anxiety
College-related self-efficacy
Exam anxiety
Procrastination behavior
Mental health problem
Physical health problem
Mini-ICF-APP‑S Mean
−0.007
0.011
−0.059
−0.015
0.174**
0.191**
0.402**
−0.546**
0.361**
0.468**
0.328**
0.051
Adherence to regulations
0.028
0.112*
0.017
−0.031
0.014
0.223**
0.297**
−0.251**
0.116*
0.349**
0.055
0.033
Planning and structuring of tasks
−0.018
0.039
0.078
−0.141**
0.132**
0.122*
0.267**
−0.344**
0.288**
0.583**
0.128*
−0.014
Flexibility and ability to adapt to changes
−0.084
0.089
−0.121*
−0.073
0.127**
0.054
0.277**
−0.412**
0.276**
0.172**
0.297**
0.034
Competency and application of knowledge
−0.081
−0.072
0.003
−0.074
0.033
0.183**
0.238**
−0.365**
0.258**
0.200**
0.066
0.026
Ability to make decisions and judgments
−0.028
−0.030
0.032
−0.004
−0.001
0.017
0.078
−0.289**
0.225**
0.151**
−0.003
−0.053
Proactivity and spontaneous
activity
−0.059
0.118*
−0.004
−0.039
0.095
0.111
0.224**
−0.319**
0.230**
0.335**
0.216**
0.035
Endurance and perseverance
0.051
−0.090
−0.017
0.013
0.232**
0.165**
0.418**
−0.452**
0.354**
0.428**
0.314**
0.154**
Assertiveness
−0.001
−0.113*
−0.019
0.047
0.010
0.103*
0.157**
−0.231**
0.169**
0.222**
0.193**
0.038
Contact with others and small talk
−0.027
0.094
−0.041
0.058
0.023
0.070
0.049
−0.236**
0.067
0.162**
0.137**
−0.054
Group integration
0.041
0.009
0.015
0.042
0.078
0.101*
0.143**
−0.153
0.129**
0.134**
0.214**
0.027
Dyadic or close relations
0.035
0.197**
−0.017
0.027
−0.003
0.104*
0.027
−0.096
0.050
0.089
0.028
−0.009
Self-care
0.082
−0.049
−0.112*
0.016
0.160**
0.080
0.262**
−0.347**
0.257**
0.232**
0.264**
0.023
Mobility
0.078
−0.035
−0.131*
0.013
0.144**
0.020
0.241**
−0.198**
0.132**
0.023
0.190**
0.110*

4 Discussion

On the one hand, data show that some capacity dimensions are associated with mental health problems, but not with physical health problems. These were the so-called soft skills which require psychological functions such as interactional capacities (contact, group, assertiveness), planning and structuring, proactivity, flexibility. These capacities are not bound to specific contents, in contrast to capacities which rather refer to specific knowledge or content issues. This finding is similar to what is known from middle-aged persons: those with mental health problems report lower capacity levels than mentally healthy persons (Linden et al. 2018a).
On the other hand, some capacities are perceived similarly among students with and students without health problems. These are the capacities which reflect more content-associated issues: applying expertise, decision making. Applied to the field of profession-oriented education, as has been done here, these capacities reflect professional capacities. In such “content-directed” capacities young professionals with and without health problems are equally fit, because this is a relevant entrance capacity to professional education.
Students with physical health problems report similar psychological capacity levels like healthy students. A physical health problem may be associated with a higher need for the person to adjust to difficult context conditions, applying for assistance or inventing new ways of active coping (Dempster et al. 2015; Reynolds et al. 2016), adjusting to or tolerating conditions, and using self-help means (Lambert et al. 2017). Students with physical health problems thus may be faced with rather higher demands for flexibility, group integration and tolerance of context conditions. It may be that they are well trained in these capacities and therefore do not perceive restrictions in comparison to completely healthy persons.
Psychosomatic patients (Linden et al. 2018), as well as students with mental health problems report partly similar profiles of their capacities: They see capacity problems in assertiveness, proactivity, endurance and flexibility, rather than in adherence to regulations, or decision making or competency. Mental health problems are regularly chronic in their nature (Stansfeld et al. 2008) and thus may appear with similar capacity problems in different age groups, and over the life span. Longitudinal studies on psychological capacities are needed, but the here reported data suggest at least that the most often perceived problems in different age groups seem to be interactional problems (assertiveness), activity-related problems (endurance, proactivity), and flexibility.
The fact that healthy students judge their capacities partly lower than do older persons from the general population is congruent to findings in a large psychosomatic patient sample. Furthermore, it was found that older patients perceive their psychological capacities as better than younger patients (Linden et al. 2018). Similar findings are also discussed for other capacities, for example wisdom, which seems to be higher in the middle years of life than in the early years (Ardelt and Oh 2016).

4.1 Limitations

In this here investigated sample women were overrepresented. However, since the research interest here was the comparison of mental healthy and mental ill persons, and the percentage of females is higher in the mental ill group (similar to epidemiology studies on mental disorders), this signals that the sample is valid concerning the typical gender distribution of mental health problems (Linden et al. 2018).
Data was collected through a cross-sectional self-report investigation and reflect therefore the young professionals’ perception of their psychological capacities at one time. There might be an overestimation of possible correlations due to a common response pattern (common method bias). Furthermore, results might be influenced by the different sizes of the four groups.
However, since observable performance problems and problems in work ability are to a high degree predicted by self-perceived work ability or performance expectation (de Vries et al. 2018), these self-reports are of great importance. They build the basis for the identification of persons at risk, and what to address to whom as preventive actions.

5 Conclusion and outlook

The obtained data from this present investigation support the idea that preventive action for young professionals at risk—similar to mid-life employees at risk—may focus on supporting interactional, self-management and soft skills (McEwan et al. 2017; Oakman et al. 2018; Carolan et al. 2017). This is even more important as nowadays team work and other interactional and management capacities are required in almost all professional fields (Kauffeld and Lehmann-Willenbrock 2011; McEwan et al. 2017; BAuA 2019).
Capacity trainings and optimization of resources can be offered by companies within occupational health programs. These can be fruitful for job beginners as well as other employees. There is a broad variety of evaluated behavior-oriented trainings which can be conducted in single or group settings (Linden et al. 2015). In each single case, specific interventions for the specific capacities of interest must be chosen (instead of delivering one standard training to everybody). According to the person-job/role-fit-model (French 1973), the specific job situation and job demands and the capacity profile of the trainee must be considered: a shy sales employee might need training of contact and interactional capacities, a person newly promoted into a leading position might be trained in team (leading) capacity and decision making, whereas a technician might rather need specific competence skills. Employers must also be aware of the fact that not everybody can be trained to become a champion. People have different capacity profiles and different limitations in trainability. Finding the right person-job-fit, i.e. the right person for specific tasks, is another way of successful coping with mental work demands. (Young) employees self-reports of their capacity profiles can be used as a starting point for finding the right person-job-fit.
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Metadaten
Titel
Mental work ability: young professionals with mental health problems perceive lower levels of soft skills
verfasst von
Prof. Dr. Beate Muschalla
Isabel Kutzner, M.Sc.
Publikationsdatum
15.01.2021
Verlag
Springer Fachmedien Wiesbaden
DOI
https://doi.org/10.1007/s11612-021-00552-2

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