Mental Health Status and Related Factors Among Visually Impaired Athletes.

BACKGROUND: A growing body of pieces of evidence suggests that sport activity is of potential importance both for physical and mental health. To date, there is a lack of information and evidence regarding the mental health of visually impaired people playing some extent of sports and recognized as athletes with renowned career track. The present study aims to clarify the mental health status and its related factors in visually impaired athletes.
METHODS: The current study was a questionnaire-based cross-sectional investigation. Visually impaired athletes (n = 81; men: 72.8%; average age: 32.8 ± 12.0 years) engaged in Paralympic sports events namely track and field (marathon), goalball, swimming, blind soccer, and judo were the study subjects from leading institutions in Japan. A diverse range of issues were included in a questionnaire survey like attributes, condition of visual impairment, competition activities, competition stressors, social support, and mental health status (recorded through the K6 scale). Logistic regression analyses were performed with mental health status as a dependent variable and other studied parameters as independent variables.
RESULTS: A total of 21.0% of study participants (11.9% of men and 45.5% of women) showed bad mental health condition. Results of multivariate logistic regression analysis showed that "female" (odds ratio (OR) 11.94, 95% confidence interval (CI) 2.60 - 54.76, P = 0.001), "higher evaluation from one's surroundings for competition stressors" (OR 5.74, 95% CI 1.34 - 24.60, P = 0.019), and "lower social support from family members" (OR 3.97, 95% CI 1.03 - 15.25, P = 0.045) were the risk factors of bad mental health.
CONCLUSIONS: The mental health status among visually impaired athletes might be almost the same level as non-visually impaired athletes and general population, and have relation to gender, stress of evaluation from surroundings during competition, and social support from family members. It may be necessary to pay attention especially to women, and improve one's surroundings of competition stressors and family social support to maintaining the mental health of visually impaired athletes. Copyright 2019, Kohda et al.

Introduction

Visual impairment is a state characterized by a decreased ability to see to the degree that causes problems and is not fixable by usual means, such as glasses, contact lenses [1]. The global prevalence estimates in 2010 explored that 285 million (4.2%) had visual impairments, 39 million were blind, and 246 million had low vision [2]. Indeed, blindness and visual impairment can severely affect the quality of life with tremendous negative impact. Blind people have difficulty and discomfort in their daily life activities (e.g. driving, reading, sewing, and walking) [1].

Several shreds of evidence indicate that the mental health status of visually impaired people is not sound and good [3]. About one-third of people with visual impairment experience subthreshold depression and anxiety (indicating subclinical symptoms) [4-6], while around 5% to 7% have a major depressive disorder [4-6] and 7% have an anxiety disorder with a higher percentage than those having a healthy vision [4]. Impaired vision is associated with mental fatigue [7, 8], less social contact [9, 10] and can induce feelings of loneliness and social isolation [9, 10] and these psychological disorders are even evident in children [11-16]. This global trend of mental health disturbance among visually impaired people is also prevalent and familiar in Japan [17]. Mental health status measured by General Health Questionnaire-28 (GHQ28) was worse in visually impaired people than in sighted people [17].

Indeed, sport and physical activities (PAs) are one of the practical approaches for the stability of individual mental health status with further betterment [18].

Visually impaired individuals, including children, tend to have lower PA levels than their peers without disabilities. While 56% of Japanese adults without any disability perform sports/PA once or more per week [19], only 20% of Japanese visually impaired adults (over 18 years old) [20], or only 30% over age 12 years with visually impairment [21] do sport activity to a similar extent. Visually impaired people would be limited to have the chance of sport activity, and social barriers pose potential impact on main problems preventing blind or partially sighted subjects from practicing sporting activity [22], although the limitations due to concerns of other people for the safety of blind subjects [23] and self-imposed barriers due to the fear of being ridiculed [24] should also be considered.

To date, little research has been conducted on the relationship between mental health and sport activity of visually impaired people across the globe. Among those reporting no impairment, doing < 1 day per week of PA was associated with having lower levels of well-being both physically and mentally at follow-up in comparison to those who were performing ≥ 1 day of PA. For those who have evident visual impairment, the mental health benefits of attending weekly PA compared with conducting non-weekly PA were observed only among those who were more emotionally unstable or introvert at baseline [25]. Further longitudinal studies are warranted to examine in depth whether the mental health responses of PA may be dependent on the adolescent’s vision status with a crucial impact [25].

The mental health status of the students with visual impairments differs according to their degree of disability; the blind students had poorer mental health than those with low vision [26]. Visually impaired students who participated in extracurricular sports activities in junior high and high schools had more stable and better mental health than those who did not, and visually impaired students’ experiences of extracurricular sports activities appeared to have positive effects on their mental health [26].

There are few reports on the mental health of visually impaired people; further to date, there is no report on the mental health of visually impaired athletes, including high-level athletes. Based on the above facts, it might be essential to explore the nature and characteristics of mental health in disabled population like the visually impaired who have an established career track of sports activities; whether physical disability like visual impairment would pose a potential impact even on the mental health status of these types of elite athletes. Thus the present study aimed to clarify with in-depth and comprehensive profiling the mental health status and the related factors among visually impaired athletes.

Materials and Methods

Study population and procedure

This population-based cross-sectional study was conducted from October 2017 to October 2018 among 99 visually impaired athletes volunteered engaged in Paralympic sports events in Japan, using convenience sampling technique. The researchers contacted the primary head of each leading respective sports organization of Paralympic events namely track and field (marathon), goalball, swimming, blind soccer, and judo, and arranged responsible personnel for each organization to select the participants for the survey.

Since the respondents were visually impaired, the questionnaire was prepared in multiple forms: three different character sizes (regularized characters and two kinds of enlarged characters), a Braille version, a Digital Accessible Information System (DAISY) version, and an online version. Each study participant was requested to answer the questions after choosing the most convenient format from these options. The participants had no other known disorder/disability except being visually impaired. Eighty-one participants who filled up the questionnaire entirely among 99 volunteers participated in the study were included in the analysis (the valid response ratio was 81.8%).

Measurements

Mental health status

Mental health status was examined and determined using the Japanese version of the K6 scale [27], a powerful measurement tool to discriminate between community cases and non-cases of Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) [28]. Respondents made their answers regarding six items on a 5-point Likert scale, and the responses on each item were then transformed to the scores ranging from 0 to 4 points. A higher total score indicates a poorer mental health status. All respondents were categorized into two groups: “good mental health status” (scores less than or equal to 4 points) or “bad mental health status” (ratings with 5 points or above); the 5-point mark has been identified as the optimal cut-off point to screen the mood and anxiety disorders/status in Japan (100% sensitivity and 68.7% specificity), and also has been used in previous Japanese studies [29, 30]. The Japanese version of the K6 scale has been validated [27] and well-characterized, and the internal consistency reliability (Cronbach’s alpha) of the scale observed in the current study was 0.86.

Attributes

Attributes included age, gender, and residential style (living with family/living alone or without family).

Condition of visual impairment

Total study participants were divided into three categories according to criteria adopted by “IBSA Classification Rules December 2018” [31]. B1: Visual acuity is less than LogMAR 2.60; B2: Visual acuity ranges from LogMAR 1.50 to 2.60 (inclusive), and/or the visual field is constricted to a diameter of fewer than 10 degrees; and B3: Visual acuity ranges from LogMAR 1 to 1.40 (inclusive), and/or the visual field is constricted to a diameter of fewer than 40 degrees. Condition of visual impairment included also causing time of disability (congenital/acquired).

Competition activities

Competition activities included namely the sports events, athletic career (years), performance level (top 3 of international games/international/prizes at national games/others), athletic level (Japanese delegate/others), training days per week (times), and total training time per week (minutes).

Competition stressors

To assess competition stressors, we used the Competition Stressor Scale developed by Asanuma et al [32]. This scale comprises 28 question items that record frequency over the past month. Each item is rated on a 4-point scale from 0 (“not at all”) to 3 (“very often”). This scale comprises five factors, and the scale range for each is as follows: “interpersonal relationships”, 0 - 24 points; “competition results”, 0 - 9 points; “evaluations from one’s surroundings”, 0 - 15 points; “expectations and pressure from others”, 0 - 15 points; and “motivation loss”, 0 - 21 points. Higher scores indicate higher stress level. This scale’s relevance has been shown by previous studies [32], and Cronbach's alpha coefficients for respondents were as follows in the current study: interpersonal relationships, 0.75; competition results, 0.84; evaluations from one’s surroundings, 0.79; expectations and pressure from others, 0.79; and motivation loss, 0.72.

Social support

To assess social support in the current study, the modified Brief Scale of Social Support by Miura et al [33] was used. This scale consists of five items related to emotional, instrumental, and practical support. Family members, friends of athletic peers, friends of non-athletic peers, and coaches were specified as four sources of support, and the same questions were asked about each of these sources. A score ranging from 1 to 4 was given to each answer, resulting in a total score between 5 and 20 for each supported source. Higher scores indicate greater awareness of support. The Cronbach’s alpha coefficients for this study’s respondents were as follows: family members, 0.90; friends of athletic peers, 0.82; friends of non-athletic peers, 0.84; and coaches, 0.89.

Ethics approval

The survey was approved in advance by the Research Ethics Committee of the Faculty of Health and Sport Sciences of the University of Tsukuba, Japan (Reference No: Tai 29-44).

Statistical analysis

Differences between the two groups by mental health status were calculated using Fisher’s exact test and unpaired t-test, a non-parametric test for independent samples (Mann-Whitney U-test). Univariate and multivariate logistic regression analysis was done with mental health as a dependent variable and other studied parameters as independent variables. Age, athletic career, training day per week, total training time per week, five competition stressors, and four social supports were divided into two groups by 50 percentile. In the multivariate logistic regression analysis with forward stepwise method (likelihood ratio), the factors which had a significant relation with mental health in univariate logistic regression analysis were only used as independent variables. It was confirmed that no issue of multicollinearity existed among the independent variables. The level of significance for all analyses was set at P < 0.05. All statistical analyses and interpretation were made using IBM SPSS version 23.0 (IBM Corp., Armonk, NY, USA).

Results

Table 1 shows the participants’ attributes, condition of visual impairment, and competition activities. Mean age in the study population was 32.8 ± 12.0 years (aged 15 - 63 years), including 72.8% (59) male subjects. A total of 54.3% of study participants live with their families; the rest of the participants live alone or without families (45.7%). Based on visual impairment assessment, 38.3% were at B1 (blind) stage, 30.9% at B2 (severe low vision) stage, and the rest of the participants (30.9%) at B3 (low vision) stage. It seemed that 59.3% of study participants were congenitally visually impaired.

Table 1

Participants’ Attributes, Condition of Visual Impairment and Competition Activities (n = 81)

	Mean ± SD or n (%)
Attributes
Age (years)	32.8 ± 12.0
Gender
Male	59 (72.8%)
Female	22 (27.2%)
Residential style
Living with family	44 (54.3%)
Living alone or without family	37 (45.7%)
Condition of visual impairment
Athletic classificationa
B1	31 (38.3%)
B2	25 (30.9%)
B3	25 (30.9%)
Causing time of disability
Congenital	48 (59.3%)
Acquired	33 (40.7%)
Competition activities
Sports events
Track and field (marathon)	18 (22.2%)
Goalball	11 (13.6%)
Swimming	23 (28.4%)
Blind soccer	14 (17.3%)
Judo	15 (18.5%)
Athletic career (years)	11.5 ± 9.0
Performance level
International medalist	26 (32.1%)
International	16 (19.8%)
Prizes at national competitions	23 (28.4%)
Others	16 (19.8%)
Athletic level
Japanese delegate	47 (58.0%)
Others	34 (42.0%)
Training day per week (times)	5.3 ± 1.8
Total training time per week (minutes)	778.3 ± 429.9

SD: standard deviation. aB1: blind; B2: severe low vision; B3: low vision.

Distribution of competitive activities is as follows: sports events of them were 18 track and field (marathon) athletes (22.2% of total study participants); 11 goalball players (13.6%); 23 swimmers (28.4%); 14 blind soccer players (17.3%); and 15 judo players (18.5%). The participants had athletic career of 11.5 years on average with both international and domestic high reputations through winning of medals and prizes, and spent more than 5 days and 778 min for training per week.

Table 2 shows the participants’ status of mental health, social support, and competition stressors. Sixty-four study subjects had good K6 score less than or equal to 4 points (79.0% of total study subjects); in contrast, 17 participants had bad K6 score more than 5 in absolute value (the rest 21.0% of total study subjects). Among competition stressors surveyed in the current study, competition results score was at the side of relatively high (mean score 4.7 out of 9) level, while evaluations from one’s surroundings score occupied a relatively low (mean score 2.7 out of 9) level. Social support scores in terms of all aspects investigated, namely, family members, friends of athletic peers, friends of non-athletic peers, and coaches were on average around 15.

Table 2

Participants’ Status of Mental Health, Social Support, and Competition Stressors (n = 81)

	Median (interquartile range)	n (%)	Mean ± SD
Mental health	2.0 (0.0 - 4.0)
Good (K6 score less than or equal to 4)		64 (79.0%)
Bad (K6 score more than or equal to 5)		17 (21.0%)
Competition stressors
Interpersonal relationships			4.9 ± 3.8
Competition results			4.7 ± 2.7
Evaluations from one’s surroundings			2.7 ± 2.8
Expectations and pressure from others			5.2 ± 3.7
Motivation loss			3.9 ± 3.3
Social support
Family members			14.9 ± 3.8
Friends of athletic peers			15.4 ± 2.7
Friends of non-athletic peers			15.5 ± 2.7
Coaches			15.3 ± 3.0

SD: standard deviation.

Table 3 shows the characteristics difference between participants with good and bad mental health. There were significant differences between two groups stratified by mental health status (good or bad) in gender, competition stressors of evaluations from one’s surroundings, and those of motivation loss, and social support from family members. The rate of bad mental health differed by gender (men: 11.9%, women: 45.5%), the level of evaluation from one’s surroundings stressor and motivation loss stressor, and social support from family members.

Table 3

Comparison of Characteristics Between Participants With Good and Bad Mental Health

	Mental health		P value
	Good (K6 ≤ 4, n = 64), n (%) or mean ± SD	Bad (K6 ≥ 5, n =17), n (%) or mean ± SD
Attributes
Age	34.2 ± 12.2	27.6 ± 9.6	0.061a
Gender
Male	52 (88.1%)	7 (11.9%)	0.002b
Female	12 (54.5%)	10 (45.5%)
Residential style
Living with family	37 (84.1%)	7 (15.9%)	0.278b
Living alone or without family	27 (73.0%)	10 (27.0%)
Condition of visual impairment
Athletic classification
B1	27 (87.1%)	4 (12.9%)	0.101b
B2	21 (84.0%)	4 (16.0%)
B3	16 (64.0%)	9 (36.0%)
Causing time of disability
Congenital	35 (72.9%)	13 (27.1%)	0.164b
Acquired	29 (87.9%)	4 (12.1%)
Competition activities
Sport events
Track and field (marathon)	16 (88.9%)	2 (11.1%)	0.803b
Goalball	9 (81.8%)	2 (18.2%)
Swimming	17 (73.9%)	6 (26.1%)
Blind soccer	11 (78.6%)	3 (21.4%)
Judo	11 (73.3%)	4 (26.7%)
Atheletic career (years)	12.3 ± 9.6	8.7 ± 5.7	0.227a
Performance level
International medalist	22 (84.6%)	4 (15.4%)	0.506b
International	14 (87.5%)	2 (12.5%)
Prizes at national competition	16 (72.7%)	6 (27.3%)
Others	12 (70.6%)	5 (29.4%)
Athletic level
Japanese delegate	38 (80.9%)	9 (19.1%)	0.783b
Others	26 (76.5%)	8 (23.5%)
Training day per week (times)	5.2 ± 1.9	5.4 ± 1.5	0.976a
Total training time per week (min)	786.4 ± 429.3	742.1 ± 451.0	0.709c
Competition stressors
Interpersonal relationships	4.8 ± 3.7	5.7 ± 4.2	0.466a
Competition results	4.5 ± 2.6	5.5 ± 2.9	0.057 a
Evaluations from one’s surroundings	2.3 ± 2.5	4.4 ± 3.3	0.014a
Expectations and pressure from others	4.8 ± 3.5	6.5 ± 3.9	0.081a
Motivation loss	3.4 ± 3.0	5.7 ± 3.6	0.010a
Social support
Family members	15.5 ± 3.4	12.8 ± 4.6	0.028a
Friends of athletic peers	15.2 ± 2.6	15.9 ± 2.8	0.298a
Friends of non-athletic peers	15.3 ± 2.4	16.1 ± 3.8	0.116a
Coaches	15.2 ± 3.2	15.7± 2.1	0.556a

SD: standard deviation. Statistical methodologies are as follows: aMann-Whitney U-test, bFisher’s exact test, and cunpaired t-test.

Table 4 shows the results of logistic regression analysis. In univariate analysis, gender (odds ratio (OR) 6.19, 95% confidence interval (CI) 1.96 - 19.99, P = 0.002), athletic classification B3 (OR 3.80, 95% CI 1.00 - 14.36, P = 0.049), competition result stressor (OR 4.28, 95% CI 1.34 - 13.67, P = 0.014), evaluations from one’s surroundings stressor (OR 3.50, 95% CI 1.14 - 10.73, P = 0.028), motivation loss stressor (OR 3.75, 95% CI 1.22 - 11.54, P = 0.021), and social support from family members (OR 3.65, 95% CI 1.20 - 11.07, P = 0.022) had related to mental health. In multivariate logistic regression analysis, gender (OR 11.94, 95% CI 2.60 - 54.76, P = 0.001), evaluation from one’s surroundings (OR 5.74, 95% CI 1.34 - 24.60, P = 0.019), and social support from family members (OR 3.97, 95% CI 1.03 - 15.25, P = 0.045) had independently related to mental health. In other words, mental health status was worse in visually impaired athletes who were female and had higher evaluation from one’s surroundings of competition stressors, and had lower social support from family members.

Table 4

Logistic Regression Analyses Investigating the Relationships Between Attributes, Condition of Visual Impairment, Competition Activities, Competition Stressors, Social Support and Mental Health

	Univariate analysis			Multivariate analysisa
	OR	95% CI	P value	OR	95% CI	P value
Attributes
Age
Thirty years or more	1.00
Less than 29 years	2.90	0.91 - 9.18	0.071
Gender
Male	1.00			1.00
Female	6.19	1.96 - 19.99	0.002	11.94	2.60 - 54.76	0.001
Residential style
With family	1.00
Without family	1.96	0.66 - 5.80	0.225
Condition of visual impairment
Athletic classification
B1	1.00
B2	1.29	0.29 - 5.75	0.742
B3	3.80	1.00 - 14.36	0.049
Causing time of disability
Congenital	1.00
Acquired	2.69	0.79 - 9.16	0.113
Competition activities
Sport events
Track and field (marathon)	1.00
Goalball	1.78	0.21 - 14.86	0.595
Swimming	2.82	0.50 - 16.08	0.242
Blind soccer	2.18	0.31 - 15.29	0.432
Judo	2.91	0.45 - 18.74	0.261
Athletic career
Less than 10 years	1.00
Ten or more years	1.06	0.36 - 3.09	0.250
Performance level
International medalist	1.00
International	0.79	0.13 - 4.87	0.796
Prizes at national games	2.06	0.50 - 8.53	0.318
Others	2.29	0.52 - 10.18	0.276
Athletic level
Japanese delegate	1.00
Others	1.30	0.44 - 3.81	0.633
Training day per week
6 - 7 days	1.00
1 - 5 days	1.09	0.37 - 3.24	0.874
Total training time per week
Less than 700 min	1.00
700 or more min	2.56	0.81 - 8.09	0.111
Competition stressors
Interpersonal relationships
0 - 4 points	1.00
Five or more points	1.72	0.58 - 5.10	0.325
Competition results
0 - 5 points	1.00
Six or more points	4.28	1.34 - 13.67	0.014
Evaluation from one’s surroundings
0 - 2 points	1.00			1.00
Three or more points	3.50	1.14 - 10.73	0.028	5.74	1.34 - 24.60	0.019
Expectation and pressure from others
0 - 5 points	1.00
Six or more points	1.54	0.53 - 4.51	0.429
Motivation loss
0 - 4 points	1.00
Five or more points	3.75	1.22 - 11.54	0.021
Social support
Family members
Fifteen or more points	1.00			1.00
0 - 14 points	3.65	1.20 - 11.07	0.022	3.97	1.03 - 15.25	0.045
Friends of athletic peers
0 - 14 points	1.00
Fifteen or more points	2.12	0.55 - 8.22	0.276
Friends of non-athletic peers
0 - 14 points	1.00
Fifteen or more points	1.59	0.46 - 5.46	0.464
Coaches
0 - 14 points	1.00
Fifteen or more points	1.48	0.43 - 5.10	0.537

OR: odds ratio; CI: confidence interval. aFor multivariate analysis, we used the stepwise forward method (likelihood ratio); the factors which had a significant relation with mental health in univariate analysis were only used as independent variables in multivariate analysis.

Discussion

In our best knowledge, this is the first study that clarified the mental health status of visually impaired athletes and its related factors such as attributes, condition of visual impairment, competition activities, competition stressors, and social support. This cross-sectional study was conducted using questionnaires for 81 Japanese visually impaired athletes who play Paralympic sports events, namely track and field (marathon), goalball, swimming, blind soccer, and judo.

Mental health status

The current result explored that 21.0% of visually impaired established Japanese athletes have bad mental health with a profile of psychological distress as evaluated through K6 score [27]. In a previous study, the rate of bad mental health in Japanese sighted student athletes was 28.3% of the total study subjects (using K6 score, the same item for this study) [34]. Furthermore, according to data of the comprehensive survey of living conditions (CSLC) in 2016 conducted by the Ministry of Health, Labor and Welfare (MHLW) in Japan, 30.5% of Japanese people aged 15 - 64 years had the bad mental health (using K6 score) [35]. We drew comparison of the percentage of bad mental health between this study participants and previous surveys participants [34, 35] by test for equality of proportion, and there were no significant differences in the percentage between this study and both of previous surveys [34, 35]. Thus, the mental health status among visually impaired athletes seems to be similar to visually normal athletes and general population.

Contradictory to our findings, the majority of the studies suggested that older people, children, and young adults who have visual impairments developed more emotional problems than did their sighted peers [3-17]. Young people who are visually impaired may have fewer opportunities and chances to make friends and may face issues of social isolation, discrimination, and, consequently, they may develop emotional and communication problems in daily life [36], but when they are athletes, they may have more social exposure and interaction affecting their mental health positively. Accordingly, it seems that in visually impaired people who are engaged in competitive sports, their mental health was sound in the current investigation. The benefits of sports in building fitness, teaching healthy habits and healthy competition, developing self-confidence, building social skills and friendships, and providing pleasure in the visually impaired are highly acknowledged and appreciated.

Mental health related factors

Next, we clarified the relationship between mental health and attributes, condition of visual impairment, competition activities, competition stressors, and social support in visually impaired athletes. The multivariable logistic regression analysis showed that gender, evaluation from one’s surroundings of competition stressors, and social support from family members were significant variables independently related to mental health status. We found no evidence for the relationship between mental health and attributes except gender, condition of visual impairment, and competition activities. Thus, the differences in context of gender, additional evaluation from one’s surroundings during competition and social support from family members seem to play a significant role in determining mental health status in the current subject.

First, mental health status in female visually impaired athletes was worse than that of men in the current study. Consistent with our findings, several past reports showed the gender difference of the mental health status in visually impaired students; girls had more serious depressive and anxiety symptoms than boys [36-39]. Our findings also agree with the majority of the literature on non-visually impaired athletes, which has found that female athletes show higher scores of anxiety and depression than male athletes [40-42]. Similarly, in general population aged 15 - 64 years, CSLC by MHLW in Japan showed that the rate of bad mental health was higher in women than in men [35]. Although we cannot exclude the biological characteristics of the female population, a study conducted in Japan demonstrated that female athletes were more cooperative but had low levels of confidence, determination, and self-control compared to the male counterpart, and demand more psychological counseling [43]. Therefore, programs aimed at improving specifically for the visually impaired female athletes should be designed with proper care and cautions to equalize social inclusion, barriers, and gender-based equity.

Second, mental health status was poor if the stressor of evaluation from one’s surroundings was high (OR 5.74) implying the condition that competitive efforts and achievements of games and exercises were not acknowledged by coaches, athletic peers, or there was no time to go into the game at all, or it decreased considerably. It is highly suggested from the current findings that the coaches or peers or surrounding people should be more careful to recognize athletes and support them during competition with a positive and motivational attitude. Previous researches on non-disabled Japanese athletes reported that mental health had a relation with the stressor of interpersonal relationships [32], competition results [44], and expectation and pressure from others [45]. Thus it can be assumed that mental health-related competitive stressor differs by conditions like disability, including visual impairment in athletes.

Third, social support from family members has shown significant relation with mental health in the current study (OR 3.97), implying that good social support from family members has a potential to improve mental health in visually impaired athletes by four folds. Social support from friends or coaches had no significant relation with mental health in Japanese visually impaired athletes, as observed in the current study. This finding is not consistent with previous studies showing better social support, especially support from friends, is vital to help children with visual impairments in reducing the number and severity of their emotional problems [37, 46, 47], as well as their depression and anxiety symptoms [38, 48]. Of note, young people with visual impairments have fewer chances to make friends, face problems of social isolation and, consequently, they develop emotional and communication problems [36]. Different types of mental health problems may depend on lifestyle, support from family and friends, level of integrations, and social networks [49]. In the case of athletes with visual impairment, they already have exposure on the relationship and communication or support for each other with similarly disabled friends and/or close intimate intact sighted friends during their daily competitive activities, training and practices; visually impaired athletes thus can have opportunity to come across with both disabled and non-disabled athletes, coaches and friends not only at playground, but also at each step of daily and social life. This mixed type of practice or learning environment is unusual for completely normal eye-sighted athletes. These factors or attributes may preclude the possibility of social support from friends to be a significant variable to mental health in the current study setting.

There are several limitations to this study. First, the present study did not include control groups like non-visually impaired athletes, which poses limitation to clarifying the difference of the mental health status between visually impaired and non-impaired athletes. Second, it is a small-scale study only in Japan, with a small sample size obtained from different organizations with a convenience sampling type, not a random sampling, and therefore sampling bias cannot be excluded from current findings. Although a little missing information for a particular subject infestation was not included in the present analysis, the inclusion and exclusion criteria for sampling could be more specific and distinct. Third, because of the gender-based differential findings presented in the current study primarily based on the disproportional study participant number, future investigation with an equal number of male and female study subjects is needed. Finally, because of the nature of self-reported questionnaires, some reporting bias also cannot be ignored. It is a cross-sectional study, thus concluding causal relations between mental health and competition activities, competition stress, social support is not possible. For in-depth analysis, the prospective longitudinal study design is crucial to clarify the causal relation between mental health and the associated factors.

Despite the above mentioned major limitations, this is the first study to examine and profile the mental health status and its related factors among visually impaired athletes. These findings suggested that the mental health condition of visually impaired athletes showed almost a similar level as that in sighted athletes observed in the previous study [34]. Although as stated in Introduction section [3-17], visually impaired or physically disabled people are easily prone to develop mental or psychological distress/disturbances/disorders, whereas current study findings in visually impaired athletes exhibit a relatively low percentage of bad mental health through a globally recognized assessment tool. These results may add impact on the significance of PAs for maintaining good mental health irrespective of physical disability like visual impairment. Also, it may be necessary to pay attention especially to women’s mental health and improve one’s surroundings of competition stressors and family social support to maintaining the mental health of visually impaired athletes’ crucial factors related to mental health in the current study context. Thus, collectively, the present study outcomes would at least contribute to the understanding and protection of mental health status and stability in the perspectives and viewpoints of physical disability in established athletes.

Practical implication and future perspective

The present findings bear tremendous impact before the Olympic and Paralympic Games scheduled to be held in Japan 2020 in an expansion of scientific evidence in the field of sport and technology especially in linkage with Paralympic events and participating athletes. Although the present study is only confined to the elite class athletes with visual impairment, future studies should focus on the mental health status of visually impaired subjects with a wide range of PAs/sports activities in a regular basis as a part of daily life habit. These current findings would be a baseline foundation platform for the subsequent deposition of further evidence in the field of mental health with a disability and conjoined PA.

Conclusions

From the current findings, we conclude that: 1) A total of 21.0% of study participants showed bad mental health condition, implying almost the similar mental health status as in non-visually impaired athletes and general population; and 2) Women, higher evaluation from one’s surroundings of competition stressors, and lower social support from family members were independently related to poor mental health among visually impaired athletes.