Changes in sexual behaviour, anxiety symptoms, and quality of couple relationship of patients with infertility during the COVID-19 lockdown.

PURPOSE: This study aimed to explore the perceived changes in sexual behaviour during COVID-19 lockdown, anxiety symptoms, and couple relationship of patients with infertility.
METHODS: We performed an observational cross-sectional study between 20 November 2020 and 15 January 2021. We used stratified analysis of different stress levels and Quality of Marriage Index (QMI) scores to compare the perceived changes in sexual behaviour, anxiety symptoms, and couple relationship. The logistic regression model was performed to assess factors correlated with couples' relationship quality during the lockdown. Furthermore, we performed pathway analyses to assess whether the changes in sexual behaviour, stress level, or psychological anxiety during the lockdown could predict the quality of couple relationship.
RESULTS: A total of 940 patients with infertility were included in this study. When we conducted a stratified analysis of the participants, significant differences were found between the changes in their sexual behaviour, stress levels, and couple relationship quality. The logistic regression model showed that sex, anxiety symptoms, decreased sexual satisfaction, sexual activity frequency, and income levels were closely related to couple relationship quality. Pathway analyses indicated that changes in their sexual behaviour, anxiety symptoms, and stress levels could all predict the quality of couple relationship.
CONCLUSIONS: The perceived changes in sexual behaviour with different stress levels and couple relationship quality showed significant differences. Analysing the related factors that affect the quality of couple relationship, especially in times of crisis, is of great significance as this information can contribute to the improvement of treatment for patients with infertility.

Introduction

The coronavirus disease 2019 (COVID-19) pandemic has brought unprecedented challenges to the world. Currently, researchers are mainly focussing on health hazards associated with COVID-19 infection, COVID-19 treatment, and vaccine development [1-3]. Nevertheless, we must not ignore the effect of the pandemic on different aspects of people’s lives. Many studies have confirmed that COVID-19 has severely affected people’s mental and psychological health [4-10]. Sexual activity is an essential part of life [11], and sexual health is an important indicator of the quality of life, which is a vital aspect of well-being [12-14]. Anxiety, lack of privacy, fear of health conditions, and psychosomatic symptoms caused by lockdown can affect the quality of sexual life [15]. Studies based on changes in sexual activity due to the lockdowns enforced in different populations and countries have reported different conclusions. One study showed that overall sexual activity, sexual activity frequency, and risky behaviours declined significantly among young populations in China [16]. Some female participants in Italy reported a decrease in pleasure, satisfaction, desire, and arousal during lockdown [16]. However, a survey conducted among the individuals of three south-east Asian countries revealed that the frequency of sexual activity of couples had increased considerably when compared to the frequency before the lockdown [17]; similar results were found among Turkish women [18]. Based on the above observations, an investigation into the changes in sexual behaviour of patients with infertility during lockdown could be meaningful because sexual health issues of couples with infertility need to be given increased attention due to the societal implications of the condition. However, there is currently no research documenting changes in the sexual behaviour of couples with infertility during the COVID-19 pandemic.

Infertility is defined as failure to achieve a successful pregnancy after 12 months, or more, of regular, unprotected sexual intercourse [19]. Infertility is a multidimensional stressor, and the treatment itself and the unpredictable treatment outcomes are likely to evoke feelings of psychological distress [20]. Indeed, one study found that 56% of patients with infertility scored in the clinical range for depression and 76% for anxiety [21]. Patients with infertility may be more sensitive and vulnerable in the face of stress and crisis [22]. Published data indicate that the interruption of fertility care due to COVID-19 led to psychological distress in patients with infertility [22-24]. A recent study indicated that 64% of the participants experienced psychological distress during treatment suspension; feeling helpless following the suspension of treatment was also associated with higher distress [22]. Based on the psychological symptoms caused by lockdown, it is expected that sexual behaviour would also be affected [25].

Several studies have verified the correlation between psychological health and couple relationship quality [26-28]. During the COVID-19 pandemic, individuals with poor couple relationship quality were more burdened than those with good couple relationship quality, and the prevalence of depression increased from 13% up to 35% based on couple relationship quality [27].

Based on the above research, our specific hypotheses are that the COVID-19 pandemic may aggravate the psychological anxiety and stress level of patients with infertility, resulting in changes in sexual behaviour, thereby further affecting the couple relationship quality. However, to date, no study on the changes in sexual behaviour and the quality of couple relationship of patients with infertility during the COVID-19 pandemic has been conducted. Thus, this study aimed to determine whether the COVID-19 pandemic has had an impact on the changes in sexual behaviour and couple relationship of patients with infertility and investigate the related factors that affect couple relationship quality.

Materials and methods

Procedure

This cross-sectional study was conducted at the Centre of Reproductive Medicine, Shenyang, China. Patients diagnosed with infertility were invited to participate in the study when they visited the outpatient clinic of the Reproductive Medicine Centre. The research process was as follows: First, the patients provided consent to participate in this anonymous research; then, the nurse led the participants to a private room of the clinic reserved for filling out questionnaires. All participants provided written informed consent prior to starting the study.

Participants

All participants were recruited from the Centre of Reproductive Medicine and were undergoing infertility treatments. Of the 1158 respondents in this study, 218 failed to complete all questions and were excluded. Thus, the responses of 940 participants were included in the analyses (response rate, 81.17%). Table 1 shows the participants’ demographic characteristics. The average age was 32.73 ± 4.55 years for female participants and 33.57 ± 4.44 years for male participants. The average infertility duration was 4.12 ± 3.06 years for female participants and 3.70 ± 2.88 years for male participants (Table 1).

Table 1

Demographic characteristics of the study population (n = 940)

Characteristics	Female (n = 611, 65.00%)	Male (n = 329, 35.00%)
	Mean ± SD/n (%)	Mean ± SD/n (%)
Age (years)	32.73 ± 4.55	33.57 ± 4.44
BMI (kg/m2)	23.48 ± 3.39	25.83 ± 4.09
<18.5	32 (5.23)	6 (1.82)
18.5–25	388 (63.50)	137 (41.64)
25–30	161 (26.35)	134 (40.73)
≥30	30 (4.91)	52 (15.81)
Smoking status
Smoker	30 (4.91)	145 (44.07)
Non-smoker	581 (95.09)	184 (55.93)
Annual income (ten thousand yuan)
<5	320 (52.37)	106 (32.22)
5–10	163 (26.68)	125 (37.99)
10–15	67 (10.97)	47 (14.29)
15–20	28 (4.58)	23 (6.99)
>20	33 (5.40)	28 (8.51)
Education
≤High school	214 (35.02)	121 (36.78)
Specialised college	161 (26.35)	83 (25.23)
Undergraduate	190 (31.10)	106 (32.22)
≥Postgraduate	46 (7.53)	19 (5.78)
Duration of infertility (years)	4.12 ± 3.06	3.70 ± 2.88
Cause of infertility
Tubal factor	308 (50.41)	-
Ovulation disorders	120 (19.64)	-
Unexplained	50 (8.18)	-
Combined factor	133 (21.77)
Male factor	-	329 (100.00)

SD, standard deviation; BMI, body mass index

The inclusion criteria were as follows: female or male diagnosed with infertility or sterility and has not yet undergone assisted reproductive technology treatment, such as in vitro fertilisation-embryo transfer; aged between 21 and 45 years; married and are living with their spouses. This study is part of a large-scale cross-sectional study on the sexual health of patients with infertility during the COVID-19 pandemic. To avoid the bias caused by age and endocrine factors on sexual function and sexual health, this study only included people younger than 45 and excluded some causes of infertility that were reported to have affected sexual functions. The exclusion criteria were as follows: females diagnosed with endometriosis and premature ovarian failure; male with severe male infertility, such as azoospermia; patients with diabetes and high blood pressure; patients with genital tract abnormalities and genitourinary infections; ingesting drugs that may affect sexual function and/or mental state (selective serotonin reuptake inhibitors, tricycle antidepressants, and phosphodiesterase type 5 inhibitors) [28]; clinically diagnosed sexual dysfunction prior to infertility diagnosis; and psychiatric conditions (that can cause sexual dysfunction).

Measures

We used a self-designed questionnaire and three standardised questionnaires (Supplementary 1 and 2) to evaluate the perceived changes in sexual behaviour, stress levels, anxiety symptoms, and quality of couple relationship of patients with infertility during the COVID-19 pandemic. All questionnaires were validated in the Chinese language.

Demographic information

The following baseline information was collected: age, body mass index, economic level, infertility duration, education level, and smoking status. An additional question on income changes during the COVID-19 pandemic was also included: How has the COVID-19 pandemic affected your annual income? Answer as increased, unchanged, or decreased.

Perceived changes in sexual behaviour

A self-designed questionnaire focused on changes in sexual behaviour during the COVID-19 lockdown was administered. The following questions were included: (1) Compared with that before the COVID-19 pandemic, how has your sexual desire changed? (item 1); (2) Compared with that before the COVID-19 pandemic, how has your sexual intercourse frequency changed? (item 2); (3) Compared with that before the COVID-19 pandemic, how has your sexual satisfaction changed? (item 3) (The options to answer the above three questions were set as increased, unchanged, or decreased.); (4) How has your frequency of masturbation changed compared with that before the COVID-19 pandemic? (item 4); (5) How has your frequency of watching pornography changed compared with that before the COVID-19 pandemic? (item 5) (The answers to the above two questions were set as none, increased, unchanged, or decreased).

Psychological anxiety

Anxiety symptoms were evaluated using the 7-item Generalized Anxiety Disorder scale (GAD-7). The items are scored on a 4-point scale, from 0 to 3, and the total score ranges from 0 to 21. The cut-off score of ≥10 was used to assess the presence of anxiety [29]. A question on COVID-19-related anxiety was also included: Has the COVID-19 pandemic increased/affected your anxiety levels? (answer as no, mildly, or extremely).

Stress levels

Stress levels were evaluated using the 14-item Perceived Stress Scale (PSS-14) [30]. The items are scored on a 5-point scale, from 1 to 5, and the total score ranges from 14 to 70. The perceived stress level was based on the PSS-14 score, with the severity of stress represented as follows: 14–28, low; 29–42, general; 43–56, high; and 57–70, very high. The Cronbach alfa values were set between 0.81 and 0.86 [30].

Couple relationship quality

The third part was the Quality of Marriage Index questionnaire, a 6-item scale designed to evaluate couple relationship quality. The first five items were scored on a 7-point scale ranging from 1 (strongly disagree) to 7 (strongly agree). The sixth item was scored on a 10-point scale ranging from 1 (extremely low) to 10 (extremely high). The total score ranged from 6 to 45 points. A QMI cut-off value of <34 indicated poor quality of relationship, with sensitivity of 88% and specificity of 85%. The QMI demonstrates good item characteristics and excellent reliability (α = 0.94) [31, 32]. A question regarding changes in couple relationship during the COVID-19 pandemic was also included: Compared with that before the COVID-19 pandemic, how has your relationship as a couple changed? (answer as better, unchanged, or deteriorated).

Statistical analyses

Data analysis was performed using the statistical software SPSS (version 22.0; IBM Corp., Armonk, NY, USA) and the package of Lavaan [33] in R. The chi-square test, independent t-test, one-way analysis of variance (ANOVA), and logistic regression model were performed using SPSS. The principal component analysis (PCA), confirmatory factor analysis (CFA), and pathway analyses were performed in R. Results were presented in a tabular format. Categorical variables were summarised as counts and percentages, and continuous measures were summarised as counts, means, and standard deviations (SDs).

We used a PCA to test the validation of changes in sexual behaviour. Factorability of the polychoric correlation matrix was assessed by Bartlett’s Test of Sphericity [34] and KMO value ≥0.70 [35]. A CFA was used to validate the structure of changes in sexual behaviour. To assess model fit, Chi-square divided by its degree of freedom (χ2/df), Tucker Lewis Index (TLI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA) were used. Model fit was considered adequate according to the following criteria: χ2/df ≤3; CFI and TLI ≥0 .90 (preferably ≥0.95); RMSEA ≤0.08 [36, 37].

The chi-square test, independent t-test, and ANOVA were used to compare the changes in sexual activity, stress level, anxiety symptoms, and couple relationship quality during the lockdown. Moreover, a stratified analysis was performed according to stress levels and QMI score, and the differences among the groups were compared. Effect size was calculated to evaluate the strength of each statistical analysis and measured with Cohen’s d for the independent t-test, Cramer’s V for the chi-squared test, and η2 for the ANOVA. A logistic regression model was employed to explore the factors that were related to couple relationship quality by adjusting for all possible confounders during the lockdown. The p-value, odds ratio (OR), and 95% confidence interval (CI) were evaluated, and a two-tailed p-value of <0.05 indicated statistical significance. We performed pathway analyses to assess whether the changes in sexual behaviour during the lockdown, stress levels, and psychological anxiety could predict the quality of couple relationship.

Results

Principal components analysis and confirmatory factor analysis

We conducted the CFA with five items, as listed in “Perceived changes in sexual behaviour.” All items loaded sufficiently, ranging from 0.79 to 0.91, and we divided the five items into two factors: factor 1 (item 1, item 2, and item 3) and factor 2 (item 4 and item 5). Factor 1 accounted for 45.06% of the common variance; factor 2 accounted for 29.58% of the common variance; the total variance was 74.64% (Table 2). Following these results, a two-factor solution with five items was accepted as an adequate representation of the factor structure for changes in sexual behaviour. The goodness-of-fit of the two-factor solution was acceptable, χ2/df = 4.68, CFI = 0.99, TLI = 0.98, RMSEA = 0.06. These results show that the CFA confirmed the factor structure of the scale of sexual behaviour. The Cronbach’s alpha for each factor was 0.83 and 0.65, respectively.

Table 2

The principal component analysis (PCA)

Items	Factor1 loading	Factor2 loading	h2
1. Compared with that before the COVID-19 pandemic, how has your sexual desire changed?	0.91		0.80
2. Compared with that before the COVID-19 pandemic, how has your sexual intercourse frequency changed?	0.89		0.83
3. Compared with that before the COVID-19 pandemic, how has your sexual satisfaction changed?	0.79		0.62
4. How has your frequency of masturbation changed compared with that before the COVID-19 pandemic?		0.86	0.74
5. How has your frequency of watching pornography changed compared with that before the COVID-19 pandemic?		0.86	0.74
Eigenvalues	2.25	1.48
% of common variance	45.06	29.58
% of total variance	74.64
Cronbach’s alpha	0.83	0.65

h2 = communality

Changes in sexual behaviour, stress levels, anxiety symptoms, and couple relationship quality of patients with infertility during lockdown

Among the participants, 4.75% females and 4.26% males perceived an increase in sexual satisfaction during the lockdown, while 5.89% females and 10.33% males perceived a decrease in sexual satisfaction; there was a significant difference between the two groups (p < 0.05). Also, 4.42% females and 5.78% males experienced an increase in sexual desire, while 10.31% females and 9.42% males experienced a decrease in sexual desire during the lockdown (p > 0.05); 5.73% females and 5.78% males reported an increase in sexual activity frequency, while 10.64% females and 13.07% males reported a decrease in sexual activity frequency (p > 0.05). Moreover, males experienced an 11.85% increase and a 19.45% decrease in changes in masturbation frequency, while females experienced a 10.47% increase and a 9.49% decrease in changes in masturbation frequency in comparison with the pre-lockdown period (p < 0.01). For changes in pornography use, males experienced a 9.42% increase and a 10.64% decrease, while females experienced a 7.36% increase and a 7.36% decrease (p < 0.01). The above results revealed that the overall sexual behaviour of most participants had not changed significantly (Table 3).

Table 3

Changes in sexual behaviour, couple relationship, and anxiety symptoms of patients with infertility during lockdown (n = 940)

Items	Total (n =940)	Female (n = 611)	Male (n = 329)	Statistics	Effect size (V/d)	P-value
	n (%)/mean ± SD	n (%)/mean ± SD	n (%)/mean ± SD
Changes in sexual satisfaction				χ2 = 6.16	V = 0.08	0.04
Increased	43 (4.57)	29 (4.75)	14 (4.26)
Unchanged	827 (87.98)	546 (89.36)	281 (85.41)
Decreased	70 (7.45)	36 (5.89)	34 (10.33)
Changes in sexual desire				χ2 = 0.98	V = 0.03	0.62
Increased	46 (4.89)	27 (4.42)	19 (5.78)
Unchanged	800 (85.11)	521 (85.27)	279 (84.80)
Decreased	94 (10.00)	63 (10. 31)	31 (9.42)
Changes in sexual frequency				χ2 = 1.26	V = 0.04	0.53
Increased	54 (5.74)	35 (5. 73)	19 (5.78)
Unchanged	778 (82.77)	511 (83.63)	267 (81.15)
Decreased	108 (11.49)	65 (10.64)	43 (13.07)
Changes in frequency of masturbation				χ2 = 83.70	V = 0.30	<0.01
Increased	103 (10.96)	64 (10.47)	39 (11.85)
Unchanged	384 (40.85)	212 (34.70)	172 (52.28)
Decreased	122 (12.98)	58 (9.49)	64 (19.45)
None	331 (35.21)	277 (45.34)	54 (16.41)
Changes in frequency of pornography use				χ2 = 64.69	V = 0.26	<0.01
Increased	76 (8.09)	45 (7.36)	31(9.42)
Unchanged	311 (33.09)	156 (25.53)	155 (47.11)
Decreased	80 (8.51)	45 (7.36)	35(10.64)
None	473 (50.32)	365 (59.74)	108 (32.83)
GAD-7 score	6.58 ± 2.82	6.18 ± 2.59	7.33 ± 3.07	t = −6.11	d = −0.42	<0.01
COVID-19-related anxiety				χ2 = 36.92	V = 0.20	<0.01
Extremely	38 (4.04)	21 (3.44)	17 (5.17)
Mildly	211 (22.45)	102 (16.69)	109 (33.13)
No	691 (73.51)	488 (79.87)	203 (61.70)
Changes in income during lockdown				χ2 = 5.35	V = 0.08	0.07
Increased	16 (1.70)	10 (1.64)	6 (1.82)
Unchanged	450 (47.87)	276 (45.17)	174 (52.89)
Decreased	474 (50.43)	325 (53.19)	149 (45.29)
QMI score	30.62 ± 6.30	29.37 ± 5.68	32.93 ± 6.73	t = −8.57	d = −0.59	<0.01
Changes in couple relationship during lockdown				χ2 = 1.44	V = 0.04	0.49
Better	164 (17.45)	105 (17.18)	59 (17.93)
Unchanged	742 (78.94)	487 (79.71)	255 (77.51)
Deteriorated	34 (3.62)	19 (3.11)	15 (4.56)
PSS-14 score	36.48 ± 11.69	35.35 ± 10.91	38.57 ± 12.77	t = −4.07	d = −0.28	<0.01
Stress level				χ2 = 15.40	V = 0.13	<0.01
Very high	67 (7.13)	33 (5.40)	34 (10.33)
High	188 (20.00)	112 (18.33)	76 (23.10)
General	499 (53.09)	330 (54.01)	169 (51.37)
Low or none	186 (19.79)	136 (22.26)	50 (15.20)

GAD-7, Generalized Anxiety Disorder scale-7; QMI, Quality of Marriage Index; PSS-14, Perceived Stress Scale-14

The GAD-7 score for females was significantly lower than that for males (p < 0.05). Regarding COVID-19-related anxiety symptoms, 3.44% females and 5.17% males reported extreme COVID-19-related anxiety, while 16.69% females and 33.13% males reported mild COVID-19-related anxiety (p < 0.01). The QMI score for females was significantly lower than that for males (p < 0.01). Regarding couple relationship during the lockdown, 17.18% females and 17.93% males reported an improvement in couple relationship during the lockdown, while 3.11% females and 4.56% males reported a deterioration of couple relationship (p > 0.05). The PSS-14 score for females was significantly lower than that for males (p < 0.01), and males had higher stress levels than females (p < 0.01) (Table 3).

Stratified analysis of stress levels and QMI score for the changes in sexual behaviour, anxiety symptoms, and couple relationship during lockdown

We divided the participants into four groups according to the PSS-14 score: very high (n = 67), high (n = 188), general (n = 499), and low (n = 186). For changes in sexual activity, the chi-square test showed that the changes in sexual satisfaction, sexual desire, sexual activity frequency, and pornography use demonstrated significant differences among the four groups (p < 0.01). The changes in the frequency of masturbation had no significant differences among the four groups (p > 0.05). The GAD-7 score and QMI score were significantly different among the four groups (p < 0.01) (Table 4).

Table 4

Changes in sexual behaviour, couple relationship, and anxiety symptoms of participants among different stress levels groups during lockdown (n = 940)

Items	Very high (n = 67)	High (n = 188)	General (n = 499)	Low (n = 186)	Statistics	Effect size (η2/V)	P-value
	mean ± SD/n (%)	mean ± SD/n (%)	mean ± SD/n (%)	mean ± SD/n (%)
Changes in sexual satisfaction					χ2 = 20.93	V = 0.11	<0.01
Increased	4 (5.97)	8 (4.26)	17 (3.41)	14 (7.53)
Unchanged	50 (74.63)	168 (89.36)	449 (89.98)	160 (86.02)
Decreased	13 (19.40)	12 (6.38)	33 (6.61)	12 (6.45)
Changes in sexual desire					χ2 = 39.69	V = 0.15	<0.01
Increased	3 (4.48)	8 (4.26)	15 (3.01)	20 (10.75)
Unchanged	47 (70.15)	157 (83.51)	443 (88.78)	153 (82.26)
Decreased	17 (25.37)	23 (12.23)	41 (8.22)	13 (6.99)
Changes in sexual frequency					χ2 = 21.72	V = 0.11	<0.01
Increased	5 (7.46)	9 (4.79)	21 (4.21)	19 (10.22)
Unchanged	47 (70.15)	152 (80.85)	430 (86.17)	149 (80.11)
Decreased	15 (22.39)	27 (14.36)	48 (9.62)	18 (9.68)
Changes in frequency of masturbation					χ2 = 13.04	V = 0.07	0.16
Increased	12 (17.92)	24 (12.77)	43 (8.62)	24 (12.90)
Unchanged	30 (44.78)	74 (39.36)	200 (40.08)	80 (43.01)
Decreased	7 (10.45)	30 (15.96)	65 (13.03)	20 (10.75)
None	18 (26.87)	60 (31.91)	191 (38.28)	62 (33.33)
Changes in frequency of pornography use					χ2 = 31.73	V = 0.11	<0.01
Increased	12 (17.91)	14 (7.45)	32 (6.41)	18 (9.68)
Unchanged	30 (44.78)	61 (32.45)	156 (31.26)	64 (34.41)
Decreased	5 (7.46)	26 (13.83)	41 (8.22)	8 (4.30)
None	20 (29.85)	87 (46.28)	270 (54.11)	96 (51.61)
GAD-7 score	8.18 ± 4.71	6.47 ± 2.89	6.29 ± 2.31	6.89 ± 2.89	F = 10.10	η2 = 0.03	<0.01
COVID-19-related anxiety					χ2 = 25.87	V = 0.12	<0.01
Extremely	9 (13.43)	8 (4.26)	14 (2.81)	7 (3.76)
Mildly	16 (23.88)	53 (28.19)	112 (22.44)	30 (16.13)
No	42 (62.69)	127 (67.55)	373 (74.75)	149 (80.11)
QMI score	27.70 ± 8.60	30.71 ± 5.96	31.06 ± 5.84	30.39 ± 6.60	F = 5.78	η2 = 0.02	<0.01
Changes in couple relationship during lockdown					χ2 = 43.32	V = 0.15	<0.01
Better	13 (19.40)	21 (11.17)	97 (19.44)	33 (17.74)
Unchanged	43 (64.18)	162 (86.17)	392 (78.56)	145 (77.96)
Deteriorated	11 (16.42)	5 (2.66)	10 (2.00)	8 (4.30)

On the other hand, we divided the patients into two groups according to the QMI score: QMI ≥ 34 (n = 296); QMI < 34 (n = 644). The PSS-14 score in the low-quality relationship group was significantly higher than in the high-quality relationship group (p < 0.01). The changes in sexual behaviour, including sexual satisfaction, sexual desire, and sexual activity frequency, were significantly different between the two groups (p < 0.01). Moreover, the GAD-7 score in the low-quality relationship group was significantly higher than that in the high-quality relationship group (p < 0.01) (Table 5).

Table 5

Changes in sexual behaviour, couple relationship, and anxiety symptoms of patients with infertility among different QMI score groups during lockdown (n = 940)

Items	QMI ≥ 34 (n =296)	QMI < 34 (n = 644)	Statistics	Effect size (d or V)	P-value
	mean ± SD/n (%)	mean ± SD/n (%)
PSS-14 score	34.68 ± 10.83	37.30 ± 11.98	t = −3.21	d = −0.23	<0.01
Stress level			χ2 = 2.53	V = 0.05	0.47
Very high	18 (6.08)	49 (7.61)
High	56 (18.92)	132 (20.50)
General	168 (56.76)	331 (51.40)
Low or none	54 (18.24)	132 (20.50)
Changes in sexual satisfaction			χ2 = 34.53	V = 0.19	<0.01
Increased	27 (9.12)	16 (2.48)
Unchanged	262 (88.51)	565 (87.73)
Decreased	7 (2.36)	63 (9.78)
Changes in sexual desire			χ2 = 24.77	V = 0.16	<0.01
Increased	24 (8.11)	22 (3.42)
Unchanged	260 (87.84)	540 (83.85)
Decreased	12 (4.05)	82 (12.73)
Changes in sexual frequency			χ2 = 22.88	V = 0.16	<0.01
Increased	27 (9.12)	27 (4.19)
Unchanged	253 (85.47)	525 (81.52)
Decreased	16 (5.41)	92 (14.29)
Changes in frequency of masturbation			χ2 = 3.94	V = 0.07	0.27
Decreased	44 (14.86)	78 (12.11)
Unchanged	125 (42.23)	259 (40.22)
Increased	25 (8.45)	78 (12.11)
None	102 (34.46)	229 (35.56)
Changes in frequency of pornography use			χ2 = 5.72	V = 0.08	0.13
Decreased	25 (8.45)	55 (8.54)
Unchanged	112 (37.84)	199 (30.90)
Increased	18 (6.08)	58 (9.01)
None	141 (47.64)	332 (51.55)
GAD-7 score	5.66 ± 1.92	7.00 ± 3.06	t = −6.93	d = −0.49	<0.01
COVID-19-related anxiety			χ2 = 6.20	V = 0.08	<0.05
Extremely	5 (1.69)	33 (5.12)
Mildly	67 (22.64)	144(22.36)
No	224 (75.68)	467 (72.52)
Changed in couple relationship during lockdown			χ2 = 196.21	V = 0.46	<0.01
Better	126 (42.57)	38 (5.90)
Unchanged	170 (57.43)	572 (88.82)
Deteriorated	0	34 (5.28)

Factors that correlated with couple relationship quality determined by the logistic regression model

An analysis of the relevant factors associated with couple relationship quality using the logistic regression model revealed that female gender (OR 10.74, 95% CI: 6.21–18.57, p < 0.01), anxiety symptoms (GAD-7) (OR 1.50, 95% CI: 1.34–1.68, p < 0.01), and decreased sexual satisfaction (OR 11.52, 95% CI: 2.37–55.89, p < 0.01) were risk factors related to poor couple relationship quality. However, high sexual activity frequency (OR 0.55, 95% CI: 0.49–0.60, p < 0.01) and high income levels (OR 0.52, 95% CI: 0.43–0.62, p < 0.01) were protective factors for high couple relationship quality (Table 6).

Table 6

Factors related to couple relationship quality determined by the multivariate logistic regression analysis (low quality of couple relationship = 0, high quality of couple relationship = 1)

Items	B	SE	Wald	OR	95% CI	P-value
Age	0.00	0.02	0.01	1.00	0.96–1.05	0.92
BMI	−0.02	0.03	0.35	0.99	0.94–1.04	0.55
None-smoker	-	-	-	1.00	-	-
Smoker	−0.36	0.28	1.67	0.70	0.41–1.20	0.20
Gender
Male	-	-	-	1.00	-	-
Female	2.37	0.28	72.28	10.74	6.21–18.57	<0.01
Infertility duration	−0.01	0.04	0.02	1.00	0.92–1.07	0.89
Sexual life frequency (per month)	−0.61	0.05	143.81	0.55	0.49–0.60	<0.01
Income levels	−0.66	0.09	50.90	0.52	0.43–0.62	<0.01
GAD-7	0.41	0.06	51.56	1.50	1.34–1.68	<0.01
PSS-14	0.01	0.01	1.58	1.01	0.99–1.03	0.21
Changed in sexual desire
Increased	-	-	-	1.00	-	-
Unchanged	0.29	0.75	0.15	1.34	0.31–5.82	0.70
Decreased	0.59	0.93	0.40	1.80	0.29–11.08	0.53
Changed in sexual frequency
Increased	-	-	-	1.00	-	-
Unchanged	0.13	0.68	0.04	1.14	0.30–4.29	0.85
Decreased	0.59	0.86	0.47	1.80	0.33–9.78	0.49
Changed in sexual satisfaction
Increased	-	-	-	1.00	-	-
Unchanged	1.44	0.59	5.96	4.21	1.33–13.32	0.02
Decreased	2.44	0.81	9.19	11.52	2.37–55.89	<0.01
Changed in frequency of masturbation
None	-	-	-	1.00	-	-
Increased	0.28	0.56	0.25	1.32	0.44–3.91	0.62
Unchanged	0.42	0.29	2.01	1.52	0.85–2.69	0.16
Decreased	−0.53	0.36	0.02	0.95	0.47–1.94	0.88
Changed in frequency of pornography use
None	-	-	-	1.00	-	-
Decreased	−0.41	0.42	0.01	0.96	0.43–2.17	0.92
Unchanged	−0.08	0.28	0.07	0.93	0.53–1.61	0.79
Increased	−0.31	0.64	0.24	0.73	0.21–2.57	0.63

Pathway analyses

Pathway analyses indicated that GAD-7 (β = −0.44, p < 0.01), PSS-14 (β = −0.10, p < 0.01), and factor 2 (β = −0.07, p < 0.05) significantly, negatively predicted QMI. However, the variable of factor 1 (β = 0.15, p < 0.01) positively predicted the QMI (Table 7).

Table 7

Model regression coefficients

X	→	Y	Unstandard coefficients	SE	Z (CR)	p	Standard coefficients
Factor2	→	QMI	−0.23	0.09	−2.49	0.01	−0.07
Factor1	→	QMI	0.95	0.19	5.08	<0.01	0.15
GAD-7	→	QMI	−0.98	0.07	−14.85	<0.01	−0.44
PSS-14	→	QMI	−0.06	0.02	−3.59	<0.01	−0.10

Discussion

This is the first study to report changes in sexual behaviour and couple relationship quality of patients with infertility during the lockdown. In this large-scale observational cross-sectional study, most of the participants reported no change in their sexual behaviour, anxiety symptoms, or couple relationship quality during lockdown; however, when we conducted a stratified analysis of the participants, significant differences were found between changes in sexual behaviour compared to different stress levels and couple relationship quality. The sexual activity frequency, anxiety symptoms, changes in sexual satisfaction during the lockdown, and income levels were all associated with couple relationship quality. Pathway analyses indicated that anxiety symptoms, stress levels, and changes in sexual behaviour can all predict the quality of couple relationship. Our findings are important, especially with respect to the consultations with patients with infertility.

Due to individual differences, context, and relational characteristics, people’s stress responses to the pandemic vary. Some people lose interest in sex completely, whereas others show an increase in sexual desire and sexual activity frequency [18, 38–41]. In our study, the participants with high stress levels had significant perceived changes in sexual behaviour compared to those with low stress levels; we also observed a high incidence of decreases in sexual satisfaction, sexual desire, and sexual activity frequency in the very high stress level group compared to other groups. Evidence from national surveys of sexual life show that the decline in sexual activity frequency was related to increased use of pornography [42]. This supports our findings that pornography use increased among patients with high stress levels. Pornography use has increased worldwide during the COVID-19 pandemic [43]; it has been used mainly to relieve stress, loneliness, boredom, and other pandemic-related negative emotions [44, 45]. The higher GAD-7 scores and a high rate of COVID-19-related anxiety reported among patients with high stress levels in our study also confirm this point.

We found that female participants had lower QMI scores than male participants. A previous study reported that women have poorer couple relationship quality than men during the COVID-19 pandemic, which is related to psychological distress [26]. Research also found that females have more psychological distress than males during the COVID-19 pandemic [46]. Investigations have shown that women experience higher levels of depression symptoms and other emotional distress related to infertility than men [47-49]. The aforementioned may explain why women had lower couple relationship quality than men in our study.

Higher rates of decreases in sexual satisfaction, sexual desire, and sexual activity were observed in patients with poor relationship quality than in those with high relationship quality. Furthermore, the logistic regression model revealed that the increases in the frequency of sexual activity and sexual satisfaction were protective factors for high relationship quality. This is consistent with the findings of Mollaioli et al. who also found that frequency of sexual activity can positively predict relationship quality [50] and was also confirmed in our pathway analysis.

Anxiety symptoms were a risk factor for poor relationship quality and negatively predicted QMI. The association between couple relationship quality and psychological health has been confirmed by several studies [51-53]. One study conducted during lockdown found that poor relationship quality led to a deterioration of mental health and well-being [54]. Another study also showed that couple relationship quality was related to mental health during the COVID-19 pandemic [27]; these studies support the connection that we have observed in patients with infertility.

Our research found that increased sexual desire, sexual activity frequency, and sexual satisfaction can positively predict couple relationship quality. The increased changes in sexual satisfaction are also a protective factor for couple relationship quality of patients with infertility and vice versa. The observed result is very interesting and meaningful because the sexual health of patients with infertility needs to be given more attention due to the societal implications of the condition. It is of great significance as this information can contribute to the improvement of treatment for patients with infertility, especially in times of crisis. The focus of future research should be on a longitudinal study to investigate infertility patients’ sexual health, mental health, and couple relationship quality. Future studies should also aim to assess the influencing factors of couple relationship quality and sexual health of patients with infertility in a multi-centre controlled study.

Strengths and limitations

The strengths of our study are the large sample size of patients with infertility and that it investigates a sensitive topic of which there are currently few studies published. This is the first study to report changes in sexual behaviour and couple relationship quality of patients with infertility during the COVID-19 pandemic. Analysing factors that correlated with the quality of couple relationship, especially in times of crisis, is of great significance as this information can contribute to the improvement of treatment for patients with infertility.

The main limitation of our study is the cross-sectional study design. The results relied on participants self-reporting changes in their sexual behaviour; thus, any changes recorded were subject to recall bias. Furthermore, these participants may have been in a relationship that was not controlled; this may have introduced a bias to the results due to the dyadic interdependence of the outcomes. Further large-scale longitudinal studies are needed to understand the impact of the lockdown on changes in sexual behaviour in different types of patients with infertility.

Conclusion

Perceived changes in sexual behaviour with different stress levels and couple relationship quality were significantly different during the lockdown. Sexual activity frequency, changes in sexual satisfaction, anxiety symptoms, and income levels were closely related to couple relationship quality. Pathway analyses indicated that anxiety symptoms, stress level, and changes in sexual behaviour can all predict the quality of a couple’s relationship. Analysing the factors that correlate with couple relationship quality, especially in times of crisis, is of great significance as this information can contribute to the improvement of treatment for patients with infertility.

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