Sociodemographic Determinants of Poles’ Attitudes towards the Forest during the COVID-19 Pandemic
International Journal of
Environmental Research
and Public Health
Article
Sociodemographic Determinants of Poles’ Attitudes towards
the Forest during the COVID-19 Pandemic
Anna Koprowicz 1 , Robert Korzeniewicz 2 , Wojciech Pusz 3 and Marlena Baranowska 2,*
1 Institute of Pedagogy, Pomeranian University in Słupsk, 76-200 Słupsk, Poland; anna.koprowicz@apsl.edu.pl
2 Department of Silviculture, Poznan University of Life Sciences, 60-637 Poznan´ , Poland;
robert.korzeniewicz@up.poznan.pl
3 Department of Plant Protection, Wrocław University of Environmental and Life Sciences,
50-375 Wrocław, Poland; wojciech.pusz@upwr.edu.pl
* Correspondence: marlenab@up.poznan.pl; Tel.: +48-618-487-612
Citation: Koprowicz, A.;
Korzeniewicz, R.; Pusz, W.;
Baranowska, M. Sociodemographic
Determinants of Poles’ Attitudes
towards the Forest during the
COVID-19 Pandemic. Int. J. Environ.
Res. Public Health 2022, 19, 1537.
https://doi.org/10.3390/
ijerph19031537
Academic Editors: Pedro
Silva Moreira, Pedro Morgado, Pedro
R Almeida and Ary Gadelha
Received: 2 January 2022
Accepted: 27 January 2022
Published: 29 January 2022
Publisher’s Note: MDPI stays neutral
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iations.
Copyright: © 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Abstract: Attitudes towards forest ecosystems have been changing together with human needs, which
is amplified with society’s increasing need to spend recreation time in the forest. The phenomenon
has been particularly visible during the COVID-19 pandemic. The aim of this study was to determine
the attitude of Poles to forests during the COVID-19 pandemic. The research was based on (1) a
sociodemographic background questionnaire that consisted of questions about the independent
variables and (2) the LAS scale—an independently prepared tool for measuring attitudes towards the
forest. In the survey, 1025 people participated (673 women). The age of the subjects was between 19
and 68. The attitude towards the forest was analysed in three dimensions: Benefits, Involvement, and
Fears. The Mann–Whitney U test and Kruskal–Wallis one-way analysis of variance by ranks were
used for statistical analysis. Women and people with primary education expressed the most fears
connected with going to the forest. Men and people living in the countryside and in small towns,
as well as respondents who were professionally active and performing work connected with forests
were the most involved in exploring the forest and working for its benefit. Concerning the forest,
concerned women, people from the highest age group, respondents with university education, and
white-collar workers notice the most benefits from recreational activities in the forest.
Keywords: coronavirus; forest therapy; LAS scale; COVID-19; society; forest function; urban and
suburban forests
1. Introduction
1.1. Forest and Health
The World Health Organisation (WHO) has acknowledged forest ecosystems as key for
the survival of the humankind and the life on Earth [1]. The perception of forest ecosystems
has been changing together with human needs [2,3]. It has been estimated that forests
fulfil over 100 functions that are perceived as benefits which humans can accrue. The
most popular benefits are economic, social, and protective [4,5]. The social benefit of the
forest, which is constantly gaining importance, is to create optimal conditions for human
health and recreation [5,6]. The modern person in an anthropogenic environment, who
is constantly pursuing free time to regenerate both the body and mind, is spending an
increasing amount of time in the forest [7,8].
The idea of spending time in a natural environment for its regenerative, restoring,
and healing properties has been known since the 16th c. In Europe, people suffering
from breathing difficulties, tuberculosis, and some mental illnesses were directed to health
resorts surrounded by forests [9]. Nowadays, so-called forest therapy and forest bathing are
becoming more popular [10–12], and involve walks in the forest in each period (a weekend,
a week, or longer) depending on the ailments and the person’s health [13]. This concept
was introduced in Japan in 1982 by the Forestry Agency, and since then it has been gaining
Int. J. Environ. Res. Public Health 2022, 19, 1537. https://doi.org/10.3390/ijerph19031537
https://www.mdpi.com/journal/ijerph
Int. J. Environ. Res. Public Health 2022, 19, 1537
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popularity, particularly among corporate employees where a significant number of worker
deaths had been observed [14]. Nowadays, these methods are used in other countries
as well [10,15]. The medical community has welcomed forest therapy as a preventive
treatment [13] and it has been used to assist in the recuperation and rehabilitation process.
The therapy aims at stimulating the body to self-heal through contact with nature in the
forest. It has also been used in treating disorders that occur due to stress, depression, and
ageing, and to improve overall health and wellbeing (the rustling sounds of trees, bird song,
and the greenery have a soothing effect). Walking in the forest has also been suggested to
humans as a form of minimal physical activity, getting fresh air (oxygenate the body), and
improving blood circulation [10,11,14,16]. Moreover, spending time in the forest distances
people from places where they usually spend time, e.g., the workplace, and distracts them
from everyday activities, reduces stress levels, and improves mood and concentration [17].
Forest bathing has a positive influence on emotions and regeneration, and increases the
level of vitality, which has been emphasised by Karjalainen et al. [18] and Bielinis et al. [19].
Healing properties of the forest stem from its microclimate, which is shaped by essen-
tial oils (phytoncides). They are recognised for their antibacterial, fungicidal, and antiviral
properties [20]. Hence, forest therapy should be popularised in society, especially in many
places on the planet where forests are easily accessible. Walking in the forest is a cheap
leisure activity that is of vital importance for elderly people and the ill whose economic
situation is precarious [16].
Despite numerous benefits that the forest offers, there are also people who do not like
the forest and perceive it as an alien and dangerous place, evoking anxiety and uneasi-
ness [21]. In some situations, the forest ecosystems can be threatening to human health.
People who are in frequent contact with the forest can be exposed to infectious diseases
connected with it. The vectors of these diseases can be the arthropods and mammals living
in the forest. Examples of such diseases are Puumala orthohantavirus (PUUV, transmitted
by the bank vole), Lyme disease, and tick-borne encephalitis (transmitted by ticks) [22].
Another why the forest evokes fear are dangerous animals, as well as poisonous plants and
mushrooms that can be found there. Also, some animals and plants which are part of the
forest ecosystems cause allergies and skin reactions [18].
1.2. The COVID-19 Pandemic and the Importance of the Forest
Since the beginning of the COVID-19 pandemic (in April 2020) it was evident that
the situation was going to impact forests and forestry [23]. In Poland, the first case was
diagnosed on 4 March 2020, while the first regulations to limit the spread of the coronavirus
were introduced on 13 March 2020. Regulations [24] limited the possibilities of movement,
the functioning of certain institutions or workplaces, and established a ban on assembly.
So far, these restrictions have appeared in Poland depending on the number of infected
people. The State Forests National Forest Holding (PGL LP) also introduced a periodic
ban on access to the forest on 3–11 April 2020, under the slogan “Las Poczeka” (the forest
will wait). After that period, parks and forests were often the only “space of freedom” for
Poles with unlimited access [25]. Forests in Poland cover about 30% of the country’s area,
of which almost 81% are public forests. These are national goods, owned by all citizens of
the Republic of Poland, to which every Pole has free access. [26]. Currently, the distance
of the place of residence from the forest and the possibility of access are not a factor that
significantly affects the limitation of recreation in forests [25].
Derks, Giessen, and Winkel [27] compared the number of visitors to forests in Germany
before and during the introduction of restrictions and mandates against COVID-19. The
scientists concluded that the numbers of visitors to the forests doubled. People were also
more motivated to go to the forest for social reasons, such as meeting friends and family,
as well as for preserving physical and mental health [28]. A similar increased interest in
forest mid-COVID-19 pandemic was observed by Grima at al. [29]. The increasing trend in
forest visits during the COVID-19 lockdown in 2021, compared to the same months before
the pandemic in 2016 and 2017, was written about by Bamwesigye et al. [30]. Many other
Int. J. Environ. Res. Public Health 2022, 19, 1537
3 of 16
scientists noted an increased number of people who strolled and rode bikes along rivers or
in parks and forests during the lockdown [31,32]. During the pandemic, people pay special
attention to the risk of infection, and the forest, unlike public space, is not a crowded place.
Especially at the times when recreation, sport, and cultural facilities, as well as shopping
centres, were closed, the forest was one of few free spaces where Poles could spend their
free time [25]. The pandemic made Poles change summer holiday plans [33,34], both due
to travelling restrictions and deteriorated financial situations [34], particularly for people
whose business activity suffered because of the restrictions. The majority of people had
to limit their expenses on recreation [9]. The pandemic functioned as an inhibitor for the
tourist industry [35,36] but it also evoked the substitution effect on the tourist market [33].
One of the substitutes for domestic and international tourism could be trips to the forest.
During the pandemic, the forest can be a particularly popular place for walks, considering
the necessity to avoid crowds as well as the opportunity to find peace and relaxation from
everyday life [25]. In such a situation, it is important to notice that spending time in the
forest on a regular basis boosts the immune system [9,20] by mitigating the effects of social
isolation and loneliness, which have a negative impact on both physical as well as mental
health [37].
2. Materials and Methods
The increase in the number of people visiting forests is a challenge for those who
manage forests as well as for urban forest policy [27]. The boom of visitors generates the
need for integrated forest management [38] that can respond directly to the social need
and will be suited to people’s needs and expectations. The strategy should be based on
the understanding that management measures are essential to deliver various ecosystem
services needed by society [27]. In this context, it seems especially important to canvass
popular opinion about the forest and forest recreation. And this topic was increasingly
taken up by researchers, such as Bamwesigye et al. [30], Mateer et al. [39].
2.1. The Aim, Problem, and Hypothesis of the Research
Considering the above ideas, the aim of this study is to learn about the attitude of the
Polish people towards the forest regarding chosen sociodemographic variables. The aim of
the study was to determine the attitude of Poles towards the forest amid the COVID-19
pandemic. The pilot studies conducted by Baranowska, Koprowicz, and Korzeniewicz [25]
reveal that during the restrictions, to prevent the spread of COVID-19, the forest gained
significance as one of few spaces of freedom for Poles. The study participants indicated that
the lower transmission risk of SARS-CoV-2 virus is one of factors which encouraged walks.
Hence, it is necessary to inquire about a general attitude of the Polish people towards the
forest amid the pandemic and what are the characteristics of this attitude.
The following research question has been formulated: What are the sociodemographic
factors of Poles’ attitude towards the forest? The dependent variable is the attitude towards
the forest expressed by results of LAS scale which includes three areas: the Benefits of forest
recreation, the fears connected with the forest, and involvement in exploring the forest.
The independent variables controlled in the study are sex, age, professional activity, work,
education, place where the respondents live, and their living conditions.
We formulated several hypotheses: (1) women express more fears connected with
going to the forest then men, (2) elderly people see more benefits connected with the forest
than younger respondents, (3) people with secondary and higher education express fewer
fears connected with being in the forest and see more benefits, (4) people living in the
country see more benefits of forest recreation and are more involved than people living in
the cities, (5) people living in a block of flats see more benefits of being in the forest than
people who have their own gardens, (6) people who are professionally active see more
benefits connected with the forest, but they are also less involved than people who do
not work, and (7) people who work in professions connected with forest management are
Int. J. Environ. Res. Public Health 2022, 19, 1537
4 of 16
more involved and express fewer fears connected with the forest than people who work in
other professions.
2.2. Research Tools
The study was conducted using the survey diagnostic method and two research tools
were used:
1. Sociodemographic background questionnaire that consisted of questions about the
independent variables.
2. LAS scale—independently prepared tool for measuring the attitude towards the forest.
The tool is characterized by good reliability expressed by Cronbach’s alpha coefficient
at the level of 0.90. Its theoretical relevance was determined by subjecting the items to
competent judges and by factor analysis. The scale contains 20 statements, to which
the respondents refer on a scale from 1—“strongly disagree” to 5—“strongly agree”.
It consists of three factors. The first one, “Benefits”, consists of eight statements
(such as: “I rest and relax in the forest very well”, “The forest helps me to improve
my health”) concerning the experience of pleasure and health benefits connected
with spending time in the forest. The second factor, “Involvement”, included eight
statements that determine the extent to which respondents are involved in learning
about nature, understanding forest management issues, or working for the benefit of
the forest. There were such statements as: “I take part in tree planting campaigns”,
“I am interested in nature—I am keen on learning about various tree species or reading
about animals”. The last factor, “Fears”, containing four statements (e.g., “I am afraid
to go to the forest because of ticks” or “I worry that I will get lost in the forest”),
examines the concerns expressed by the respondents about being in the forest.
2.3. The Research Procedure
The results presented in the article are a part of a greater interdisciplinary study titled
“The approach towards the forest during the pandemic. Psychological and sociodemo-
graphic characteristics”. The analysed research tools, together with others that are a part
of the entire project, were shared on the Internet between February and May 2021. The
invitation to participate in the study was sent through social media. Students were asked
by their academic teachers who work at higher education institutions of various profiles.
Out of the 1071 questionnaires that were sent, 1025 were qualified.
Statistical calculations were conducted using Statistica 10 software (StatSoft Polska
Sp. z o.o., Kraków, Poland). The distribution of the results achieved in the LAS scale
deviates from normal, hence, to determine the differences between the particular groups,
the Mann–Whitney U test and Kruskal–Wallis one-way analysis of variance by ranks
were adopted.
2.4. Surveyed People
In the study (survey), 1025 people participated, out of which 673 were women. The
ages of the subjects were between 19 and 68. To conduct comparisons, the respondents
were divided into three age groups. The aim was to create groups that were similar in
terms of numbers, hence percentiles were adopted, with the lower threshold established at
33.34% and the upper threshold at 66.66%. Thus, people up to the age of 22 were assigned
as the youngest group, and people over the age of 26 were assigned to the oldest group.
The detailed sociodemographic structure of the surveyed people is presented in Table 1.
Int. J. Environ. Res. Public Health 2022, 19, 1537
5 of 16
Table 1. Sociodemographic structure of the studied sample.
Variable
Sex
Age
Education
Place of residence/
Type of settlement
Type of dwelling
Professional activity
Type of occupation
Feature
Male
Female
Group I (ages 19–21)
Group II (ages 22–25)
Group III (26 and over)
Primary
Vocational
Secondary
Higher
Countryside
Small town (up to 20,000 inhabitants)
Town (between 20,000 to 100,000 inhabitants)
City (above 100,000 inhabitants)
Detached house with a garden
Multi-family house with a garden
Block of flats
Professionally active
Professionally inactive
Retired
White-collar worker
Blue-collar worker
Service
Freelancer
Health worker
Uniformed services
Forestry
Professionally inactive
Share (%)
65.66
34.34
28.39
39.02
32.59
0.09
2.54
46.83
50.54
40.00
13.76
13.37
32.88
55.90
7.02
37.07
47.22
52.29
0.49
29.76
5.66
2.73
3.41
2.73
0.29
2.63
52.78
3. Results
3.1. Sex and Attitude to the Forest
The results of the Mann–Whitney U test indicate statistically significant differences
between males and females in the scope of all subscales in the LAS scale. In light of the
collected research material, the first hypothesis can be considered as a supported one—
females do indeed express more fears connected with going to the forest. Moreover, it
turned out that the differences between males and females occur also in Benefits and
Involvement (Table 2).
Table 2. Attitude to forest—comparing females and males.
LAS
Women
Men
n Median Quartile Range
n
Median
Quartile Range
benefits
37
8
36
7.5
involvement 673
26
10
352
30
10
fears
8
6
5
3
U
103,219
88,216
70,892
p-Value
0.001
0.001
0.001
3.2. Age and Attitude towards the Forest
The results of Kruskal-Wallis test indicate a significant difference in the scope of noted
benefits from forest recreation (H (2, n = 1025) = 31.45, p < 0.01); involvement in exploring
the forest (H (2, n = 1025) = 34.74, p < 0.01), and fears connected with spending time in the
forest (H (2, n = 1025) = 8.93, p = 0.011), which were signalled by various age groups. The
differences are presented graphically in Figure 1.
3.2. Age and Attitude towards the Forest
The results of Kruskal-Wallis test indicate a significant difference in the scope of
noted benefits from forest recreation (H (2, n = 1025) = 31.45, p < 0.01); involvement in
exploring the forest (H (2, n = 1025) = 34.74, p < 0.01), and fears connected with spending
Int. J. Environ. Res. Public Health 202t2i,m19e, 1i5n37the forest (H (2, n = 1025) = 8.93, p = 0.011), which were signalled by various6aogfe16
groups. The differences are presented graphically in Figure 1.
40
35
30
25
20
15
10
5
0
group I
group II
group III
AGE GROUPS
LAS benefits
LAS involvement
LAS fears
FFigiguurere1.1A. Atttitiutuddeetotoththeefoforersetst—mmeaenanchchaartrtfoforrggrorouuppssddivividideeddbbyyaaggee. .
PPoosts-th-hooccaannalaylysissis(D(Duunnnn’s’stetsets)t)hheleplpededtotoddeteetremrminineewwhhicihchoof fththeeththrereeeggrorouuppssththee
ddififfefererenncecsesininpapratirctuicluarlasrcaslceasleosf tohfetahtetitautdtietutdoethteoftohreesftohraevstehreaavceheredatchheendetcheessnareycelsesvaerly
olfesvtealtiosftisctaaltsisigtincaiflicsaignnceifi(cTaanbclee (3T)a. bOlen3t)h.eOnBethneefitBs”enaendtsInavnodlveInmveonltve,msceanltea, lslctahlereaell
gtrhoruepesgdroifufeprssdiginffiefricsaingtnlyififcraonmtloynferoamnoothneera. nTohtehoelrd. eTshtepoelodpelsetipnetohpelsetuindythgersotuupdy(ggrorouupp
II(Ig)rroeucpogInIIi)zeretchoegmniozset tbheenemfiotsstcboemniengtsfrcoommcinongtafrcotmwictohnntaactut rwe,itwhhnearetuarset,hwe hyeoruenagsetshte
gyroouupng(egsrtogurpouI)ps(egersouthpeIf)esweeesstthbeenfeewfitess.tAbesnfear tass. A“Isnfvaorlavsem“Iennvtolvisemcoenncterinsecdo,ntcheernree-d,
spthoenrdeesnptosnfdoremntsthfeorsmecothnedsaegcoengdroaugpe agcrhoiuepveadchsiiegvneifdicsaingtnliyhcaignhtleyr hreigsuhletrsrtehsaunlttshtehoatnhtehre
oontehse. rInonthees.IFneathrsesFceaalers,thsecasltea,titshteicsatlalytisstiigcnailfliycasnigtndiiffcearnetndceifsfearpepnecaerseadpbpeetawreedenbegtrwouepen
IIgaronudpgIrIoaunpdI,gwrohuopeIx, pwrhesoseedxptrheessmedostthaenmxioestyt .anxiety.
TTaabblele33. .TThheessigignnifiiccaanncceeooffththeeddififfeferreenncceessbbeettwweeeennaaggeeggrroouuppssrreessuullttssooffppoosstt--hhooccaannaallyyssiiss..
AAgge e
GGrorouuppI I
GGrorouuppIIII
GGrorouuppIIIIII
Group I
GGroruopupIII
GGGrorrououpuppIIIIIIII
Group I
GGroruopupIII
GGroruopupIIII
* p < 0.05.Group III
* p < 0.05.
GGrorouuppI I
GGrorouuppIIII
LLAASSBBeenneefittss((HH((22,,nn==1012052)5)==313.14.54,5p, p< <0.00.10)1)
0.00.0030434* *
0.00.0030434* *
0.00.0000101* *
0.00.2052454* *
LLAASSInInvvoolvlveemmeenntt(H(H(2(2, ,nn==11002255) )==343.47.47,4p, p<<0.00.10)1)
0.0001 *
0.0001 *
0.0001 *
LAS—0F.000e..100a310r330s31(*H** (2, n = 1025) = 80.9.003.00,70p57=5*0*.011)
LAS—Fears (H (2, n = 1025) =08.0.9039,5p*= 0.011)
0.0095 *
0.0095 *
0.01.80095* *
0.9038 *
0.1809 *
0.9038 *
GGrorouuppIIIIII
0.00.0000101
0.00.2052454* *
0.0133 *
0.00.0071533* *
0.0075 *
0.1809 *
0.09.0138809* *
0.9038 *
3.3. Education and Attitude towards the Forest
Statistical analysis has revealed that the respondents at various degrees of education
differ as far as forest Benefits are concerned (H (3, n = 1025) = 23.91, p < 0.01). Such
differences were not observed in the subscales focused on Fears H (3, n = 1025) = 2.48,
p = 0.48) and Involvement (H (3, n = 1025) = 10.81, p = 0.012). The mean comparison showed
3.3. Education and Attitude towards the Forest
Statistical analysis has revealed that the respondents at various degrees of education
differ as far as forest Benefits are concerned (H (3, n = 1025) = 23.91, p < 0.01). Such differ-
Int. J. Environ. Res. Public Health 202e2,n1c9e, s15w37ere not observed in the subscales focused on Fears H (3, n = 1025) = 2.48, p = 07.4o8f )16
and Involvement (H (3, n = 1025) = 10.81, p = 0.012). The mean comparison showed that
people with higher education most often acknowledge Benefits of spending time in the
fothreastt,pweohpelreeawsiptheohpiglehewriethdupcriamtioarnymedoustcoatfitoennactkhneolewalsetdogfteeBne(nFeigutsreo2f )s.pending time in
the forest, whereas people with primary education—the least often (Figure 2).
40
35
30
25
20
15
10
5
0
higher
vocational secondary
primary
EDUCATION LEVEL
LAS benefits
LAS involvement
LAS fears
FiFgiugurere2.2A. Atttitiutdude etotothtehefofroersetst—mmeaenanchcharatrtfofor rggrorouuppssddivivididededbbyyeedduucacatitoionnlelevveel.l.
TThheeppoosts-th-hococananalaylysissishhasasrerveveaelaeldedththatataastsatatitsitsitciaclallylysisgignnifiicacnant tddififfefreernenceceininththisis
scsocoppeeooccccuurrss oonnllyybbetewtweeenenpepoepoleplwe itwhihthighheigr hederuceadtiuocnaatinodn saencodndseacryoneddaurcyatieodnu. cAamtioonn.g
Aomthoenrggorothueprsgtrhoeudpisfftehreendcieffweraesnnceotwsatastnisotitcsatlalytisstiigcnalilycasingtn(iTfaicbalnet4()T. able 4).
TTaabblele4.4S. igSnigifnicianccaencoef doifffderifefnecreenbceetwbeeetwn egernougprsoiunprsefienrernefceeretonceedutocaetidounclaetvioelnlreevseul—ltsroesfuplotsst-of
hpocosatn-haolycsaisn.alysis.
EEdduuccaattiioonn
PPrriimmaarryy
VVoocactaitoinoanlal
SeSceocnodnadryary
LASLASBenBenfietst(sH(H(3(,3,nn==11002255)) == 23.9911,,pp<<00.0.011) )
PPrirmimaarryy
VVooccaattiioonnaall
SeSceoconnddaarryy
HHigighheerr
PPrirmimaarryy
VSVoeocccaoatntiiodonanraayll
SecHoingdhaerry
Higher
Primary
PVoricmataiornyal
VSoeccaotniodnarayl
SecHoingdhaerry
* p < 0H.05i.gher
11.0.00000
1.010.0000
11..00000000
1.010.000000
11..00000000
11..00000000
11.0.0000000
11.0.0000000
0.000.00020*2 *
LASLASInvIonlvvoelvmeemnetn(tH(H(3(3, ,nn==11002255)) == 1100..8811,,pp==00.0.0112)2)
010...088099077099
11..00000000
00.8.8979979
0.0657
00.3.0786657
1.010.000000
0.006.056757
0.1709
1L.0A0S00 Fears (H (3, n0=.31708265) = 2.48, p = 0.04.81)709
LAS—Fears (H (3, n = 1025) = 2.48, p = 0.48)
1.0000
1.0000
1.0000
1.0000
1.010.000000
1.00000000
1.0000
1.0000
11..00000000
11.0.0000000
1.0000
1.0000
1.0000
1.0000
* 3p.<4.0P.0l5a.ce of Residence and the Attitude towards the Forest
HHiigghheerr
11..00000000
11..00000000
00..00000022* *
11..00000000
000...313777808696
0.1709
1.0000
11..00000000
11..00000000
1.0000
The result of the analysis has revealed that the type of settlement where the respon-
dents live also differentiates their attitude to the forest as far as their Involvement is
concerned (H (3, n = 1025) = 55.83, p < 0.01). The differences concerning Fears (H (3,
n = 1025) = 5.14, p = 0.16) and Benefits (H (3, n = 1025) = 6.20, p = 0.10) appeared to be
statistically insignificant. The collected means have been depicted in Figure 3.
3.4. Place of Residence and the Attitude towards the Forest
The result of the analysis has revealed that the type of settlement where the respond-
ents live also differentiates their attitude to the forest as far as their Involvement is con-
cerned (H (3, n = 1025) = 55.83, p < 0.01). The differences concerning Fears (H (3, n = 1025)
Int. J. Environ. Res. Public Health 202=2, 519.1, 415,3p7 = 0.16) and Benefits (H (3, n = 1025) = 6.20, p = 0.10) appeared to be statistic8aollfy16
insignificant. The collected means have been depicted in Figure 3.
40
35
30
25
20
15
10
5
0
countryside
tow n
small tow n
city
PLACE OF RESIDENCE
LAS benefits
LAS involvement
LAS f ears
FiFgiugurere3.3A. Atttituitduedetotothtehefofroersetst—mmeaenanchcahratrftofrorgrgoruoupps sbbasaesdedoonnththeepplalcaeceoof freresisdideenncece. .
TThhe eppoosts-th-hococananalaylsyississhshowowededthtahtatrerseisdidenetnstsofofvvilillalgaegsesananddsmsmalallltotwownsnsaraeremmoorere
ininvvoolvlvededininlelaeranrnininggabaobuout tananddexepxplolroirninggththeefofroersetsat nanddaraeremmoroereininvvolovlvededininwworokrikninggfofror
ththeierirbbenenefeitstsththaannininhhaabbitiatanntstsoof fbbigigtotowwnnssaannddccitiiteiess(T(Taabblele55))..
TTaabblele55. .SSigignnifiiccaanncceeooffddiiffffeerrences between ggrroouuppssiinnrreefefererenncecetototytpyepeofopf lpalcaecoeforfesriedseidnecne—ceresruel-ts
suolftspofstp-hoostc-haoncalaynsaisl.ysis.
TypeToyfpSeeotftlSeemttleenmtenTt he CoTuhnetrCyountrySmallSTmoawll nTown BigBTigoTwown n
CCitiyty
LASLASBenBeenfietst(sH(H(3(,3,nn==11002255)) == 66..2200,, pp==00.1.100))
The cTohuenctoruyntry
SmalSlmtoawll ntown
0.6976 0.6976
0.69706.6976
1.010.000000
1.010.000000
Big tBoiwgntown
1.0000 1.0000
0.23605.2365
City City
1.0000 1.0000
1.00010.0000
0.304.034303
1.10.0000000
1.10.0000000
0.03.4340033
LASLASInvIonlvvoelvmeemnetn(tH(H(3(3, ,nn==11002255)) == 5555..8833,,pp<<00.0.011) )
The cTohuenctoruyntry
SmalSlmtoawll ntown
BigCtiBotyiwgCntiotywn
The cTohuenctoruyntry
SmalSlBmtoiagwlltontowwnn
Big towCnity
* p < 0.05C. ity
1.00010.0000
0.000.0100*1 *
1.0000 *1.0000 *
0.000.00100*1 *
0.0001
0.0001
**00..00000011
*
*
00..0000001100..00**000011
*
*
1.010.000000
LASLASFeaFresar(sH(H(3(,3n, n==11002255))==55..1144,, pp == 00..1166))
0.2528
0.2528
1.0000
1.0000 1.0000
0.25208.2528
0.3561
0.35611.0000
1.010.000000
0.305.635161
1.0000
1.0000
1.0000
1.0000
0.00.00011**
0.00.0000011**
1.10.0000000
1.10.0000000
1.110..00000000000
1.0000
* p < 0.05.
The variable known as “type of dwelling” (living conditions) has recognized the
following types of houses: a block of flats, a detached house with a garden, and multi-
family houses with access to a garden. This variable also differentiated the respondents’
in reference to Involvement (H (2, n = 1025) = 18.85, p < 0.01), but it does not matter as
far as Benefits (H (2, n = 1025) = 1.99, p = 0.37) or Fears (H (2, n = 1025) = 1.23, p = 0.54)
are concerned. Statistically significant differences on the “Involvement” scale occurred
between people who live in a block of flats and other groups (Table 6).
Int. J. Environ. Res. Public Health 2022, 19, 1537
9 of 16
Table 6. The significance of differences between groups in reference to type of the house—results of
post-hoc analysis.
Type of House
Block of Flats
Multi-Family House Detached House
LAS—Benefits (H (2, n = 1025) = 1.99, p = 0.37)
Block of flats
Multi-family house
Detached house
1.000
1.000
1.000
0.5883
1.000
0.5883
LAS—Involvement (H (2, n = 1025) = 18.85, p < 0.01)
Block of flats
Multi-family house
Detached house
0.0068 *
0.0003 *
0.0068 *
0.8314
0.0003 *
0.8314
LAS—Fears (H (2, n = 1025) = 1.23, p = 0.54)
Block of flats
Multi-family house
Detached house
* p < 0.05.
1.000
0.9391
1.000
1.000
0.9391
1.000
3.5. Professional Activity and Attitude towards the Forest
In the scope of declared professional activity, three groups were distinguished: profes-
sionally active, professionally inactive, and those whose activity ceased due to retirement.
The variable appeared to be a factor differentiating the respondents as far as Benefits (H (3,
n = 1025) = 14.48, p < 0.01), Involvement (H (2, n = 1025) = 26.5, p < 0.01), and Fears (H (2,
n = 1025) = 9.48, p < 0.01) are concerned. At the same time, the post-hoc analysis shows that
the differences reach a satisfactory level of statistical significance only when comparing
people who are professionally active and inactive, but not when comparing with people
who retired (Figure 4). People professionally active perceive more benefits connected with
forest recreation than people professionally inactive; they are also characterized by highest
Int. J. Environ. Res. Public Health 2022, 1I9n, xvFoOlvRePmEEeRnRtEiVnIEtWhe studied group. Also, they express fewer Fears about s1p0eonfd1i6ng time in
the forest than professionally inactive people.
45
40
35
30
25
20
15
10
5
0
active
inactive
retired
PROFESSIONAL ACTIVITY
LAS benefits
LAS involvement
LAS fears
FFigiugruer4e. 4A.tAtittutidteudtoethtoe tfhoreesfot—remsteanmcehanrt cfohragrtrofuopr sgbroasuepdsobnatsheedpolancethoef rpelsaidcenocfe.residence.
TyTpyepeofoofcoccucpuaptiaotnioanlsaolsaoppaepapredarteodbteo abesiagnsiifgicnaintcvaanrtiavbalreiatobldeettoerdmeitneermthieneret-he respon-
spdoenndtsenatsttiatuttdituedtoe wtoawrdarsdtshtehfeofroersets.tI.tItdidfiffefreerennttiaiatteess tthhee rreessppoonnddeennttssininrreefefererenncecetoto Benefits
Benefits (H (7, n = 1025) = 15.483. p = 0.03) and Involvement (H (7, n = 1025) = 86.64. p <
0.01) as well as Fears H (7, n = 1025) = 32.23, p < 0.01). As expected, people whose occupa-
tion relates to the forest are characterized by an increased Involvement and fewer Fears
than other respondents (Figure 5)
0
active
inactive
retired
PROFESSIONAL ACTIVITY
LAS benefits
LAS involvement
LAS fears
Figure 4. Attitude to the forest—mean chart for groups based on the place of residence.
Int. J. Environ. Res. Public Health 2022, 19, 1537
10 of 16
Type of occupation also appeared to be a significant variable to determine the re-
spondents’ attitude towards the forest. It differentiates the respondents in reference to
Be(nHef(i7ts, n(H= 1(70,25n) == 11052.458)3=, p15=.408.033.)pa=nd0.I0n3v)oalvnedmInenvto(lHve(m7,ennt=(1H02(57), =n 8=61.6042,5p) <= 08.60.16)4a.spw<ell
0.0a1s)FaesawrseHll a(s7,Fnea=rs1H025(7),=n3=21.2032,5p) =<302.0.213),. pA<s 0e.x0p1e).cAtesde, xppeeocpteledw, pheoospeleocwchuopsaetiocncurepla-tes
tiotno rtehleatfeosretosttahree fcohraersat catreericzheadrabcytearniziendcrbeyasaendinIncvreoalsveedmIennvtoalvnedmfewntearnFdeaferswtehraFneoatrhser
tharenspotohnedrernetssp(oFnigduernets5()F. igure 5)
60
50
40
30
20
10
0
OCCUPATION
LAS benefits
LAS involvement
LAS fears
FigFuigreur5e. A5.tAtittutidtuedtoe tohethfoerfeosrtestmemaneacnhachrtafrot rfogrroguropuspbsabseadseodnotnyptyepoefoofcocuccpuaptiaotnio.n.
The assumptions were also corroborated by a post-hoc analysis. People professionally
connected with the forest in reference to Fears do not differ statistically significantly from
uniformed services and blue-collar workers (physical workers) and services. As far as
Involvement is concerned, they differ from white-collar workers, freelancers and services,
and health workers, but they do not differ from uniformed services and blue-collar workers
(physical workers). In this area, blue-collar workers differ from other groups, apart from
forest workers and uniformed services. In the Benefits subscale, the statistically significant
differences occurred only between professionally inactive people and white-collar workers.
People working in forestry do not differ from people of other types of occupations in the
assessment of benefits connected with forest recreation
4. Discussion
Despite the fact that it is women who feel more benefits connected with spending
time in the forest and forest recreation, men are more involved both in the work in forest
areas as well as in exploring nature. This has also been confirmed by studies done by
Gołos [7], who claimed that women who went to the forest more often also paid more heed
to the benefits connected with relaxation, learning, and educational processes, as well as
mood enhancement. Men, however, revealed a greater need for physical activity and a
need to satisfy their curiosity (seeking attractions) [40]. Women express greater fears of
encountering wild animals and ticks [41]. Hence, a trip to the forest with family and friends
can be important for women because they do not always want to go to the forest alone,
for safety reasons [42]. Studies from previous years (e.g., [43–45]) reveal that women and
people with higher education are more often characterized by ecological sensitivity than
other groups. Nevertheless, Trempała and Sadowski [46], who studied social attitudes
Int. J. Environ. Res. Public Health 2022, 19, 1537
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towards deforestation of tropical forests, proved that men were characterized by a higher
level of increasing biocentric attitudes than women. This view has also been confirmed
by our studies which focused on greater involvement and willingness of men to work to
forests’ benefit.
Hypothesis No. 2, which stated that older people recognize more Benefits connected
with the forest, has been confirmed. Indeed, the respondents from the oldest age group
are significantly statistically different in comparison to other studied groups. Moreover,
the conducted research reveals that age is a differentiating factor as far as Involvement
is concerned. On this scale, the highest results were achieved by the people ascribed to
the middle age group and this group also differs significantly from the youngest group
in reference to declared Fears. One of the factors that encourages people to visit nearby
green areas and forests is the willingness to socialize. Short social contacts in the forests
were identified as, for example, walks with a dog and other forms of leisure activity in
the forest with other people [47]. Participating in events that take place in forests can be a
source of social contact for people. Considering the benefits of spending time in the forest
for people, it seems rational to promote this type of leisure activity. A similar idea was
presented by Zawadka and Zawadka [16], particularly in reference to recreation and forest
therapy. It is important to pay special attention to the oldest people (over 65 years old)
and research should be conducted in this group because it is claimed that by 2060, the
number of people aged 65 and more will have increased up to 30% in Europe, and the
share of people above the age of 80 will also increase [48]. Hence, it is reasonable to make
changes and preparations in the forest for the rest and recreation of elderly people and the
disabled [49].
The third hypothesis assumed that people with higher and secondary education have
fewer Fears connected with the forest and acknowledge more Benefits. This hypothesis
has been only partially confirmed, particularly in reference to Benefits. Interestingly,
respondents with secondary education differ as far as Benefits are concerned only from
the respondents with higher education. The differences between people from other groups
dividing people by education were not found. Although it was visible that the mean
of fears is the highest in the group with primary education, the differences appeared
statistically insignificant. Tyrväinen et al. [50] pointed to the differences concerning the
way nature is perceived through the prism of age, health, status and psychological features,
and physical activity and education. In addition, Wierzbicka, Krokowska-Paluszak, and
Schmidt [51] reported that most tourists who visited Przeme˛t Landscape Park were people
with secondary or higher education. They stated that better-educated people are more
willing to spend leisure time outdoors; it may be due to the fact that they have a greater
awareness of the need to rest than those with a lower education [51], which also confirms
our findings. According to Grzelak-Kostulska and Hołowiecka [52], with higher education,
the awareness of the need to rest, especially as an active recreation, increases. The level of
education/projects to the need of spending leisure time actively in a natural environment,
which is beneficial to health, is realized by the people with higher education [52]. A partial
corroboration of the third hypothesis is quite surprising because the research into the level
of self-assessment of wellbeing during the pandemic revealed that education does not
depend on it. The lower a respondent’s education, the more pessimistic they were in their
questionnaire answers. Simultaneously, people with higher education indicated the need
to give up recreation more often [53].
In the study, the focus on the place of residence was twofold: both in reference to
the type of settlement as well as the type of house (dwelling) in which the respondents
live. The living conditions became particularly significant during lockdown to prevent the
spread of COVID-19 and also for people who were quarantined or who underwent home
isolation. It seems that people whose movement was restricted were forced to stay indoors
in a block of flats; naturally these groups could particularly feel the loss of relaxation
in the fresh air. People who have a garden were able to catch their breath and relax
during lockdown.
Int. J. Environ. Res. Public Health 2022, 19, 1537
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The hypothesis No. 4 has been confirmed only partially. Indeed, people who live
in the country depict greater involvement than those who live in big towns and cities,
although they do not differ in this scope from people living in small towns. The assumption
concerning Benefits has not been confirmed; the respondents from cities do not differ from
people living in the country in this scope. Forest penetration and the choice of recreation
place are dependent on the location of the forest in reference to the place of residence
and the preferred type of recreation chosen by the respondents [54]. Da˛browski and
Zbucki [41] did not notice differences in limitations concerning forest recreation due to the
respondents’ place of residence. Gołos [7] indicates that people living in cities complain
about diminishing recreation areas, including forest and areas with trees (parks). People
living in the rural areas, to a great extent, do not experience the deficit of forest areas
because it is an inalienable element of their surrounding and lifestyle. Moreover, forests are
also a source of additional income for those who live in the country [7].
The predictions expressed in hypothesis No. 5 appeared to be erroneous. It was
assumed that during the pandemic, people living in a block of flats would appreciate the
opportunity to walk in the forest the most. The assumption was not confirmed. However,
the conducted research has confirmed that people living in block of flats are less involved
in exploring the natural environment than people who have the possibility of tending to
their garden on a regular basis. It is quite surprising because blocks of flats are built most
often in cities. The previous research indicates that spending time in the forest can lower
the impact of these factors on the human body [55,56]. Hence, the benefits of spending time
surrounded by nature should be appreciated by people living in blocks of flats, particularly
during COVID-19 lockdowns.
The hypotheses concerning professional activity assumed, among others, that people
professionally active acknowledge more benefits, but are also less involved than people
professionally inactive. The hypothesis was confirmed in reference to Benefits, however
the assumption about lesser Involvement was verified negatively. It would seem that
people professionally active have less time that could be spend in order to get involved in
forest exploration. However, it occurred that it is the opposite—it is those professionally
active who are involved the most. A possible explanation could be that people who
work seek isolation from the workplace, everyday chores, and activities. Our results
confirm the claims of Pietrzak-Zawadka and Zawadka [16], who indicate that health
tourism, which is particularly popular among professionally active people, is developing
dynamically nowadays.
Hypothesis No. 7, which assumed the occurrence of differences between people
working in forestry and forest management and respondents in the scope of Involvement
and Fears, has been positively verified. Interestingly, as far as Involvement is concerned,
people professionally linked with forests do not differ statistically significantly from people
who work in uniformed services and blue-collar workers; and as far as Fears are concerned,
apart from the two groups they also differ from people working in services. It seems that the
explanation of the results can be partially found in the procedure of the conducted research.
The respondents themselves had to choose their own type of occupation (explanations and
lists which occupations and jobs are included in each type were provided). Unfortunately,
the study conducted over the Internet did not provide the opportunity to solve any possible
doubts and inquiries about the adopted types of occupations. There is a possibility that
some people who work in forestry and forest management were classified as blue-collar
workers, i.e., physical workers.
5. Conclusions
The relationships between health and wellbeing, biodiversity, healthy ecosystems, and
climate change have been attracting attention of researchers and politicians internationally
over the last few years [1,57,58]. The current situation around the world added one more
issue to these ponderings, namely their relationships with the coronavirus pandemic [59].
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A few years before the pandemic it had been observed that one of the most visited
places were suburban forest complexes. It stems from the increasing awareness about the
human need for recreation and, at the same time, an increased access to recreational places
outside the city (among others transport, infrastructure) [52].
During the pandemic, the role of the forest, as a place for relaxation, recreation, and
social gatherings, has increased. The living situation and personal features of character
shape people’s attitude towards the natural environment [60]; hence we attempted to
determine which sociodemographic variables are connected with Poles’ attitude towards
the forest in the presented study. The relationship was analysed in three dimensions:
Benefits, Involvement, and Fears. Most Fears connected with spending time in the forest
were expressed by women and people with primary education, whereas men, people who
live in the country and in small towns, people professionally active, and people working in
forestry were the most involved in exploring the forest and working to its benefit. In the
scope of observed Benefits of forest recreation, higher results were achieved by women, the
elderly, and respondents with higher education; additionally, white-collar workers notice
the benefits more often than professionally inactive people. Gathering opinions about the
forest, including the sociodemographic characteristics, may be helpful in implementing
forest practices that will meet contemporary social expectations [25]. Particularly, during
the pandemic an increased number of visitors in the forest was a challenge for forest
managers and for urban forest policy [27]. The increase in the number of visitors generates
the need to integrate forest management [38], which will directly respond to social demand
and will be suited to the needs and expectations of visitors. The strategy should be based on
the understanding that management measures are essential to provide various ecosystem
services, which society needs [27]. The results of further research will indicate the most
socially acceptable ways of managing forests. They will contribute to proposing alternative
methods in reference to, for example, currently used thinning methods, by replacing the
clear-cutting method and selection-cutting method with the patch-selection method of
forest management. The results of similar research will also support the decision concerning
the organization of tourism in forests, i.e., canalizing tourist flow in the forest area, creating
new parking spaces or creating an app, making it safer to use the forest.
Getting to know the needs and expectations of society in relation to the forest is
important, because the demands of the society are often based on individual, subjective
preferences [61]. Due to this fact, foresters should shape the attitudes of society in order to
limit the habits of people that may pose a threat to nature or contribute to losses in forest
management [7]. The results of social research make it possible to define the target scope
and forms of forest recreation areas management, the evaluation of non-market values of
the forest, as well as the benefits and risks resulting from multifunctional forestry.
6. Limitations
The adopted procedure of conducting the studies via the Internet made it possible to
collect a considerable sample of people from various environments. Naturally, the approach
has its limitations. One of the issues was representativeness: to take part in the study it,
was necessary to have access to a computer and the Internet so the potential respondents
could receive a link to the questionnaire; also, the topic of the study had to be interesting
enough for people to devote their time and fill in the questionnaire. In such a case, it is
difficult to infer a random choice of the sample, which would increase its representativeness
and also the possibility to generalize the achieved results. Another vital value limitation
of the adopted procedure is the possibility of filling in the questionnaire multiple times
by the respondents or its absolute anonymity which can favour giving untrue data about
sex or age, for example. Moreover, no possibility to control the external factors, such as
distractions or the presence of third parties excluded the standard score of the research
conditions [62]. The number of the collected sample lowers the unfavourable influence
of the described factors on the achieved results; hence they can become an inspiration for
further empirical studies.
Int. J. Environ. Res. Public Health 2022, 19, 1537
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The non-equivalence of the studied groups’ results in the necessity to treat some of the
results cautiously. Despite adopting nonparametric methods of data analysis, some of the
groups (such as the group of people working in uniformed services—3 people) are so small
that it is difficult to generalize conclusions coming from comparisons with other groups.
Author Contributions: Conceptualization: A.K. and M.B.; methodology: A.K.; software: A.K., M.B.
and R.K.; analysis: A.K., M.B. and R.K.; investigation, A.K., M.B., R.K. and W.P.; resources: M.B. and
A.K.; data curation: A.K.; writing—original draft preparation: A.K. and M.B.; writing—review and
editing, M.B., A.K., R.K. and W.P.; visualization: R.K.; supervision: W.P.; project administration: A.K.
and M.B.; funding acquisition: R.K. All authors have read and agreed to the published version of
the manuscript.
Funding: This research received no external funding “Project No. 005/RID/2018/19” Wielkopolska
Regional Excellence Initiative in the field of life sciences at the Poznan´ University of Life Sciences
“Project financed under the program of the Minister of Science and Higher Education in the years
2019–2022” and “TheAPC/BPC isfinanced/co-financed by Wroclaw University of Environmental
and Life Sciences”.
Institutional Review Board Statement: Not applicable.
Informed Consent Statement: Informed consent was obtained from all subjects involved in
the study.
Conflicts of Interest: The authors declare no conflict of interest.
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