Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2018 Jun 28;13(6):e0200124. doi: 10.1371/journal.pone.0200124

Positive and negative adjustment in couples undergoing infertility treatment: The impact of support exchange

Aleksandra Kroemeke 1,*, Ewelina Kubicka 1
Editor: Joshua F Wiley2
PMCID: PMC6023214  PMID: 29953537

Abstract

Background

Perceived social support relates to infertility-related distress in couples undergoing assisted reproductive technology (ART) treatment. Studies examining the effect of other support types on both positive and negative adjustment among infertile couples are scarce or non-existent. Therefore, this study investigated the effects of support receipt, provision, invisibility (the discrepancy between one partner’s received and the other partner’s provided support), and equity (the discrepancy between each partner’s received and provided support) on the positive (life purpose) and negative (depressive symptoms) indices of well-being in couples undergoing ART treatment.

Methods

Depressive symptoms (CES-D), life purpose (PIL), and social support (BSSS) were assessed among 31 married couples (mean age 32.67 years) undergoing ART treatment. Data were analyzed by applying the Actor-Partner-Interdependence Model (APIM) using multilevel modeling.

Findings

Both receiving and providing support had beneficial effects in women and men. However, sub-analysis showed differences according to gender and the support exchange effects. Women reported higher depression and lower life purpose but benefited more from support, and their well-being was more dependent on their own perception of support provision and receipt. Men demonstrated higher adjustment to infertility but benefited less from support, and their well-being was mostly correlated with supportive behaviors of their wives.

Discussion

Adjustment mechanisms of women and men undergoing ART treatment vary considerably; thus, gender should be taken into consideration in interventions. Future studies should focus on costs/benefits and gender differences of visible and invisible support in infertility settings.

Introduction

Infertility and assisted reproductive technology (ART) treatment are highly stressful events, which may significantly affect the well-being of spouses in different life domains [13]. Studies on gender differences in psychological adjustment to infertility found that women in particular are at high risk for developing psychopathologies in these settings [4]. However, conclusions about the general well-being of infertile couples based on these findings are limited, as most studies focus on negative indices of adaptation, and thus tend to be pathogenically oriented.

Social support seems to be particularly important in the context of infertility. As infertility and its treatment is a couple-level stressor, it involves both spouses, who constitute the primary source of support for each other. Previous studies have found that perceived social support was negatively related to distress, depression, or anxiety in both cross-sectional [58] and longitudinal [9] studies on infertile individuals. Dyadic studies have revealed a significant actor effect of perceived social support on distress in both wives and husbands, but a significant partner effect only for husbands [10]. The perception of social support in infertile couples has been extensively studied. Regardless, earlier research focused on perceived support, whereas received support was largely unaddressed. Meanwhile, social exchange in a dyad involves support provision and receipt.

Despite a notably smaller number of studies focusing on provided support, their results suggest its positive relation with couple well-being [1113], and claim that it may surpass received support in beneficial effects [11], which is compatible with the hypothesis of esteem enhancement [14,15]. In contrast, received support has positive effects [11,16], no effect [17,18], or even adverse effects [19] on well-being. On the one hand, these mixed effects are consistent with equity theory, according to which receiving support may result in distress and guilt when it violates the reciprocity principle of a social exchange, that is, when more is received than given [20]. On the other hand, according to social exchange theory, receiving support should be connected to higher well-being, as people strive for maximization of their profits and minimization of their losses [21]. The discrepancy between provided and received social support is also the basis for the concept of invisible support. In addition to the benefits of being supported, awareness of receiving support may entail an emotional cost, hence, the most effective support is unnoticed by the recipient [22]. Several studies have supported that assumption [2325], although outside the context of infertility.

The present study

This study aimed at examining actor and partner effects of provided, received, and invisible support on positive (life purpose) and negative (depressive symptoms) adjustment indices in couples undergoing ART treatment. As proposed by social exchange theory [21], the enhanced esteem hypothesis [14,15], and the model of invisible support [22], it was hypothesized that both spouses would benefit from support receipt, provision, and invisibility (i.e., the discrepancy between received and provided support, indicating that support provided by one partner is greater than support receipt reported by the other partner) by reporting lower depressive symptoms, and higher life purpose. To the best of our knowledge, this study has been the first to address support receipt, provision, and invisibility, and their effects on both well-being indices in infertile couples.

Furthermore, to better examine the social exchange between infertile couples and derive conclusions about the superiority of social exchange theory or equity theory, support equity—the discrepancy between one partner’s support receipt and provision—was tested. Beneficial effects of support equity on adjustment would support social exchange theory. Analysis including the discrepancy in support perception between partners may advance our understanding of benefits of spousal support when coping with infertility. To the best of our knowledge, this study has been the first to address this issue. As for support equity, no hypotheses have been formulated due to the exploratory nature of these analyses.

Finally, gender differences in all actor and partner effects were tested, as previous studies have found differences in the adjustment [4] and social support effects [10] among infertile partners or community couples [26]. Based on earlier findings, it was hypothesized that women would be more depressed, and have lower life purpose, but benefit more from support receipt, provision, and invisible support.

Methods

Participants and procedure

The sample included 31 married couples (N = 62 participants) undergoing ART treatment in Poland. Mean age of the participants was 31.97±2.98 years for women and 33.37±2.12 years for men (range: 27–38). The mean length of marriage was 6.55±1.99 years (range: 4–14). The clear majority of respondents had higher education (women: 97%, men: 90%) and average socioeconomic status (93%). Duration of infertility was 4.16±2.03 years on average (1.1–9 years), currently treated by monitoring ovulation (19.4%), intrauterine insemination (54.8%), or in vitro fertilization (25.8%).

The Ethics Committee of the SWPS University of Social Sciences and Humanities approved the study protocol. Recruitment took place before a standard control visit at a public infertility clinic. In total, 190 patients (95 couples) gave informed consent to participate, and received envelopes with information about the study and questionnaires, as well as pre-addressed stamped return envelopes. The participants were instructed to complete the questionnaires independently. The dropout rate was 67%.

Measures

Depressive symptoms

Depressive symptoms were measured using the Centre for Epidemiological Studies Depression Scale (CES-D) [27,28], which assessed the severity of each symptom on a 4-point scale, from 0 (rarely or never) to 3 (often). A higher result indicated a greater number of depressive symptoms. Cronbach’s α in the current study was .90 and .85 for women and men, respectively (.93 in the whole sample).

Life purpose

Life purpose was measured using the abbreviated (6-item) version of the Purpose in Life Test (PIL) [29,30]. In the Polish population, the abbreviated 6-item version has better psychometric properties than the 4-item version proposed by Schulenberg et al. [31]. All statements were assessed on a 7-point scale with different anchoring points for each item. A higher result indicated a greater sense of life purpose. Cronbach’s α in the current study was .85 and .89 for women and men, respectively (.89 in the whole sample).

Social support

Received and provided social support was measured using the Berlin Social Support Scales (BSSS) [32]. Participants assessed support from/to spouse. All statements were assessed on a 4-point scale, from 1 (strongly disagree) to 4 (strongly agree), and averaged. A higher result indicated a greater level of support. In the current study, Cronbach’s α of support receipt was .85 and .89 for women and men, respectively (.86 in the whole sample), whereas Cronbach’s α of support provision was .77 and .83 for women and men, respectively (.80 in the whole sample).

Data analyses

Multilevel modeling (MLM) with a pairwise dataset was performed using SPSS version 23 to examine the actor and partner effects of received and provided social support, as well as discrepancy indicators of individual spousal adaptation (depressive symptoms and life purpose). MLM is considered one of the best methods to examine effects in the Actor-Partner-Interdependence Model (APIM) [33]. The interaction models (examination of gender differences in actor and partner effects) and two-intercept models (examination of actor and partner effects for wives and husbands, respectively), separately for support receipt, support provision, and two support discrepancy indices as predictors of depressive symptoms and life purpose, were estimated. Discrepancy scores for the actor effects were calculated by subtracting (i) received support reported by an actor from the provided support reported by a partner (invisible support), and (ii) provided support reported by an actor from the received support reported by an actor (support equity). An identical formula was used for the partner effects. Positive values indicated (i) occurrence of invisible support (partner provided > actor received), and (ii) dominance of support receipt (actor received > actor provided). In addition, the main effects of infertility duration and gender were examined (other controlled variables, i.e., age, education, length of marriage, socioeconomic status, and type of treatment were not significantly connected with the adjustment indices, so they were not included in the models). Predictors were grand mean centered to avoid multicollinearity. There were no missing data. The response rate was low, resulting in a relatively small sample size; however, studies indicated that a sample size larger than 25 dyads provided adequate power in the test of nonindependence [34] and that unbiased estimates of fixed effects parameters might be obtained for a small sample size (e.g., 31 dyads) [3537]. The effect size r for each t was computed with the following equation: sqrt[t2/(t2+df)]. Pseudo R2, defined as 1− (estimates of the variance and covariance of the full model/estimates of the variance and covariance from the null model), was calculated to determine the estimate of variance explained by the predictors, separately for the wives and the husbands [34]. Goodness of fit for the models was based on the –2 Restricted log likelihood ratio, the Akaike Information Criterion (AIC), and the Bayesian Information Criterion (BIC). The model with the lower AIC, BIC, and –2 Restricted log likelihood values indicated better fit [34].

Results

Descriptive statistics are presented in Table 1. Significant gender differences in adjustment indices were noted, in favor of men. No significant differences between women and men in the support types were found. In addition, the received and provided support in the entire sample was at a similar level (t61 = 1.435, p = 0.156, Mrec = 3.45±0.04, Mprov = 3.38±0.05). Partial Pearson correlations between actor and partner variables (Table 2), controlled for gender, indicated a significant association between actor depression and partner life purpose, and support receipt, equity, and visibility. Actor life purpose was significantly related to partner life purpose and invisible support. All coefficients indicated a low-to-moderate effect.

Table 1. Descriptive statistics and gender comparisons (N = 31 couples).

Women Men t60
M SD M SD
Depressive symptoms 1.36 .43 .68 .34 6.84***
Life purpose 5.16 .68 5.92 .70 -4.38***
Received support 3.33 .40 3.43 .47 -.94
Provided support 3.38 .32 3.52 .35 -1.58
Invisible support -.06 .46 .18 .50 -1.94
Equity support -.05 .33 -.08 .38 .36

***p < .001.

Table 2. Partial correlation, controlled for gender, between the study variables (N = 62 participants).

  Partner
1. 2. 3. 4. 5. 6.
Actor 1. Depressive symptoms .24^ -.26* -.32* -.09 .31* -.31*
2. Life purpose .53*** .19 .10 -.35** .13
3. Received support -.11 .23 -.74*** -.35**
4. Provided support -.03 -.56*** .31*
5. Invisible support -.85*** -.37**
6. Support equity -.72***

^p < .06.

*p < .05.

**p < .01.

***p < .001.

Results of MLM confirmed significant main effects of gender (Tables 36). Moreover, a significant main effect of infertility duration was observed. Taken together, female gender and longer duration of infertility were related to poorer adjustment, that is, higher depressive symptoms and lower life purpose.

Table 3. Results of MLM of support receipt on depression and life purpose (N = 31 couples).

Predictor: received support Adjustment
Depressive symptoms Life purpose
B SE 95% Cl Effect size r B SE 95% Cl Effect size r
lower upper lower upper
Fixed effects
Intercept .99*** .03 .92 1.05 5.52*** .09 5.33 5.72
Actor received support -.30** .10 -.50 -.11 .40 .80** .21 .37 1.22 .53
Partner received support -.22* .10 -.42 -.02 .30 .33 .21 -.10 .76 .25
Infertility duration .10** .03 .04 .15 .57 .01 .07 -.15 .16 .02
Gender (-1 women, 1 men) -.33*** .04 -.43 -.24 .82 .36*** .05 .25 .47 .78
Actor received support × gender .37** .11 .15 .58 .42 -.03 .23 -.49 .44 .02
Partner received support × gender -.28* .11 -.50 -.07 .34 -.37 .23 -.84 .10 .25
[Co-]variances
Covariance (women) .08** .02 .05 .15 .30*** .08 .18 .52
Covariance (men) .10*** .03 .06 .18 .40*** .11 .23 .70
Residual variance .09*** .02 .06 .14 .51*** .14 .19 .74
Goodness-of-fit
–2 Restricted log likelihood 44.97 111.86
AIC / BIC 50.97 / 56.99 117.86 / 123.89
Pseudo R2—full model (women / men) 61.3% / 27.4% 35.1% / 21.2%
Pseudo R2—received support only (women/men) 34.0% / 27.4% 35.1% / 19.5%

AIC Akaike Information Criterion; BIC Bayesian Information Criterion. Null model for depression: AIC = 96.14; BIC = 104.64; for life purpose: AIC = 152.50; BIC = 161.01.

*p < .05.

**p < .01.

***p < .001.

Table 6. Results of MLM of support equity on depression and life purpose (N = 31 couples).

Predictor: support equity Adjustment
Depressive symptoms Life purpose
B SE 95% Cl Effect size r B SE 95% Cl Effect size r
lower upper lower upper
Fixed effects
Intercept 1.02*** .05 .93 1.12 5.52*** .10 5.31 5.73
Actor support equity -.35 .20 -.76 .05 .29 .13 .40 -.70 .95 .06
Partner support equity -.55** .20 -.95 -.15 .43 .22 .40 -.60 1.05 .10
Infertility duration .07* .03 .001 .15 .37 -.20* .07 -.36 -.05 .46
Gender (-1 women, 1 men) -.33*** .04 -.42 -.25 .83 .38*** .05 .27 .49 .80
Actor support equity × gender .26 .20 -.14 .63 .19 -1.01** .31 -1.36 -.38 .41
Partner support equity × gender -.01 .19 -.39 .38 .04 -.10 .31 -.73 .52 .04
[Co-]variances
Covariance (women) .14*** .04 .08 .24 .40*** .11 .23 .68
Covariance (men) .11*** .03 .07 .19 .41*** .11 .24 .70
Residual variance .12*** .02 .09 .18 .54*** .13 .23 .75
Goodness-of-fit
–2 Restricted log likelihood 60.48 115.68
AIC / BIC 66.48 / 72.51 121.68 / 127.70
Pseudo R2—full model (women / men) 22.3% / 6.2% 14% / 17.5%
Pseudo R2—equity support only (women/men) 17.5% / 2.4% 7% / 0%

AIC Akaike Information Criterion; BIC Bayesian Information Criterion. Null model for depression: AIC = 96.14; BIC = 104.64; for life purpose: AIC = 152.50; BIC = 161.01.

*p < .05.

**p < .01.

***p < .001.

Provided and received support effects

In the case of depressive symptoms, the results of MLM showed significant actor and partner effects of received social support (Table 3). Both effects were negative, indicating a relationship between greater received support and better adjustment (lower depression), which was in line with our hypothesis. In addition, significant interactions between actor and partner effects of received support and gender were observed, demonstrating that this effect differed by gender. Further analysis, using the two-intercept MLM model, found that the actor effect of received support on depressive symptoms was significant only in women, and was negative (B = -.67, SE = 0.13, p < 0.001; men: B = 0.06, SE = 0.14, p = 0.678), whereas the partner effect of received support was significant only in men, and was also negative (B = -.50, SE = 0.15, p = 0.002; women: B = 0.06, SE = 0.14, p = 0.650). These results are in line with our hypothesis.

As for the provided support—depression relationship (Table 4), the actor effect was found to be significant and negative: greater provided support was related to better individual adjustment. Both actor and partner effects were moderated by gender. Further analysis demonstrated that the actor effect of provided support on depressive symptoms was negative and stronger in women (B = -.98, SE = 0.16, p < 0.001) as compared to men (B = -.35, SE = 0.16, p = 0.040), whereas the partner effect of provided support was significant only in men, and was also negative (B = -.41, SE = 0.18, p = 0.031; women: B = 0.15, SE = 0.15, p = 0.315), which is in line with our hypothesis.

Table 4. Results of MLM of support provision on depression and life purpose (N = 31 couples).

Predictor: provided support Adjustment
Depressive symptoms Life purpose
B SE 95% Cl Effect size r B SE 95% Cl Effect size r
lower upper lower upper
Fixed effects
Intercept .98*** .04 .90 1.06 5.49*** .09 5.31 5.67
Actor provided support -.67*** .12 -.91 -.43 1.41 1.23*** .22 .78 1.68 .68
Partner provided support -.13 .12 -.40 .11 .14 .13 .22 -.31 .58 .10
Infertility duration .01 .02 -.03 .06 .13 -.04 .04 -.14 .05 .17
Gender (-1 women, 1 men) -.30*** .04 -.38 -.22 .82 .31*** .04 .23 .39 .83
Actor provided support × gender .31** .11 .09 .54 .35 .25 .20 -.16 .65 .20
Partner provided support × gender -.28* .11 -.51 -.05 .32 -.45* .19 -.85 -.05 .35
[Co-]variances
Covariance (women) .08*** .02 .04 .13 .32*** .09 .19 .55
Covariance (men) .09*** .02 .05 .16 .21*** .06 .12 .35
Residual variance .08*** .02 .06 .12 .69*** .10 .44 .84
Goodness-of-fit
–2 Restricted log likelihood 41.43 84.52
AIC / BIC 47.43 / 53.45 90.52 / 96.54
Pseudo R2—full model (women / men) 59.4% / 24.1% 29.6% / 58%
Pseudo R2—provided support only (women/men) 57.2% / 24.1% 29.5% / 58%

AIC Akaike Information Criterion; BIC Bayesian Information Criterion. Null model for depression: AIC = 96.14; BIC = 104.64; for life purpose: AIC = 152.50; BIC = 161.01.

*p < .05.

**p < .01.

***p < .001.

In the case of life purpose (Tables 3 and 4), both actor effects of received and provided support were significant, demonstrating that both types of social support had beneficial effects (higher life purpose), supporting our hypothesis. One partner effect was moderated by gender: the effect of provided support had a distinct trend toward significance in women (B = 0.58, SE = 0.31, p = 0.067), and was not significant in men (B = -.32, SE = 0.28, p = 0.271).

Effects of the discrepancy in support perception

Regarding invisible support effects, there were no main effects of this kind of support on depression or life purpose (Table 5). Gender moderated the effect of partners’ invisible support on depression. The two-intercept MLM model indicated that partners’ invisible support was related to higher depressive symptoms only in women (B = 0.62, SE = 0.18, p = 0.002), and not in men (B = -.06, SE = 0.29, p = 0.835). In addition, gender moderated the effect of actor invisible support on life purpose. Even though this effect was negative and stronger in women (B = -.84, SE = 0.54, p = 0.128) as compared to men (B = 0.50, SE = 0.41, p = 0.240), neither effect was statistically significant.

Table 5. Results of MLM of invisible support on depression and life purpose (N = 31 couples).

Predictor: invisible support Adjustment
Depressive symptoms Life purpose
B SE 95% Cl Effect size r B SE 95% Cl Effect size r
lower upper lower upper
Fixed effects
Intercept .97*** .04 .88 1.06 5.49*** .11 5.27 5.71
Actor invisible support .11 .17 -.24 .47 .12 -.17 .43 -1.06 .72 .08
Partner invisible support .28 .18 -.08 .64 .28 -.62 .43 -1.51 .27 .26
Infertility duration .11*** .02 .06 .16 .67 -.03 .06 -.16 .11 .08
Gender (-1 women, 1 men) -.32*** .04 -.41 -.23 .82 .33*** .04 .25 .41 .84
Actor invisible support × gender .08 .16 -.26 .41 .08 .67*** .20 .26 1.08 .42
Partner invisible support × gender -.34* .17 -.69 .01 .33 .25 .20 -.15 .65 .17
[Co-]variances
Covariance (women) .07** .02 .04 .12 .43*** .12 .25 .74
Covariance (men) .14*** .04 .08 .25 .34*** .09 .20 .59
Residual variance .10*** .02 .07 .15 .75*** .08 .54 .88
Goodness-of-fit
–2 Restricted log likelihood 50.20 100.61
AIC / BIC 56.20 / 62.22 106.61 / 112.63
Pseudo R2—full model (women / men) 65.4% / 0% 11.2% / 30.8%
Pseudo R2—invisible support only (women/men) 27.3% / 0% 7% / 30.8%

AIC Akaike Information Criterion; BIC Bayesian Information Criterion. Null model for depression: AIC = 96.14; BIC = 104.64; for life purpose: AIC = 152.50; BIC = 161.01.

*p < .05.

**p < .01.

***p < .001.

As for support equity effects (Table 6), a partner effect on depressive symptoms was noted: a greater difference between partner received and provided support (dominance of receipt) correlated with better individual adjustment. The actor support equity effect on life purpose was moderated by gender: it was positive and significant in women (B = 1.14, SE = 0.52, p = 0.037), but not in men (B = -.88, SE = 0.50, p = 0.087).

Discussion

The aim of this study was to investigate actor and partner effects of support (receipt, provision, invisible, equity) on adjustment in couples undergoing ART treatment.

Received support had a beneficial effect, as it was associated with a lower level of depression and higher life purpose in both partners, supporting social exchange theory [21]. Similar results were obtained by previous studies of couples dealing with cancer [11,38], older couples [39], individuals with arthritis [40], and individuals coping with daily life [41]. Thus, support receipt was not associated with any costs, as had been reported earlier [24,42].

Moreover, gender moderated the relationship between received support and depression. Higher support receipt in women related to lower depressive symptoms in both wives and husbands. No such correlations were found for support receipt in men, consistent with the findings of Martins et al.[10]with regard to perceived support. This supports our hypothesis, indicating that women benefit more from support receipt than do men. Theoretically, these results may be linked to the process of socialization and gender stereotypes: women may be granted more help and support as compared to their male partners, and are more receptive and responsive to supportive behaviors of others as compared to men [43], which allows them to benefit from support. On the other hand, the role of a man is partially defined by instrumentality, success, and power. Thus, their well-being may be higher if their partner confirms she received support. This is also consistent with esteem enhancement theory [14], according to which the possibility of supporting a partner reinforces individual well-being.

As for provided support, its effects were beneficial. Regardless of the type of adjustment (positive vs. negative), only actor effects were significant, indicating that higher support provision correlated with higher life purpose and lower depressive symptoms in an individual. These findings are consistent with esteem enhancement theory, such that supporting others is an antecedent of increased well-being [14], and earlier studies on the effect of support provision in couples [1113,44].

The effects of provided support on depression were gender-moderated. A more detailed analysis demonstrated the actor effect to be stronger in women as compared to men. A more beneficial effect of provided support was therefore observed in women. This finding is consistent with the female stereotype: supporting others and giving more attention to supportive interactions [43]. Furthermore, the partner effect was significant only in men, indicating that higher provided support reported by women related to lower depressive symptoms in men. In other words, more supportive female partners positively correlated with higher well-being of their male partners. Several hypotheses might explain this dependence. First, based on integrated resource theories [45], it is possible that a more supportive wife has more resources in general (in accordance with resource caravans and resource gain cycles), resulting in better coping with the challenges of infertility and not burdening the partner and the relationship. Consequently, the husband’s well-being is higher. Second, a supportive wife also has higher well-being. The mood of the wife may be the mediating variable between the support provision of the wife and the mood of the husband, as the literature supports the thesis that the mood of one spouse affects the mood of the other spouse [44,46]. Third, received support might be a mediator or a moderator of the abovementioned relation. Supposedly, higher support provision from the wife results in higher visible or invisible support receipt of the husband. Regardless of the degree of visibility, supportive female partners have a highly beneficial effect.

The analysis of the discrepancy between support receipt and provision in each partner only partially supported social exchange theory, that is, the advantages of support receipt. For women only, dominance of received support was related to benefits to themselves, that is, higher life purpose. That relationship with depression was, in turn, characterized by the partner effect, indicating that the other partner also benefited from the partner’s predominance of support receipt. Of note, there were no gender differences in received and provided social support. In addition, both supports were at similar levels in the entire sample.

Regarding invisible support, its hypothesized relations to greater well-being and better stress resistance were not supported. Moreover, when gender differences were considered, invisible support even tended to “backfire”. Higher actor’s invisible support was associated with lower actor’s life purpose. This tendency was stronger among women as compared to men. In addition, higher invisible support reported by men was related to higher depressive symptoms in women. Thus, our hypothesis concerning greater benefit from invisible support in affected women was not supported. These findings are consistent with conflicting results in the literature on the effects of invisible support. Regardless of the fact that numerous authors have confirmed its beneficial effect [2325], there are also studies that contradict that theory [47]. Based on the presented findings, it can be concluded that both partners, especially women, anticipated visible support. Visible support favors conformation of support receipt, expressing gratitude, and reciprocation, which might be welcome in the context of coping with infertility. On the other hand, the result may in fact mirror the abovementioned differences in perceiving support interactions by women and men, which is determined by their social roles.

In a practical sense, it seems prudent to conduct interventions aimed at educating partners about effective support provision, adjusted to their mutual needs in terms of demand and quality, and paying attention to supportive interactions. Another practical implication might be the need for an intervention on support perception (provision and receipt) in men, for them to benefit more from support. Finally, since women are at risk for maladjustment in these settings, attention of clinicians ought to be directed toward that gender group. Furthermore, a consistent amount of care throughout infertility treatment is necessary to avoid deteriorating care over time, which may be one of the main causes of a correlation between treatment duration and poorer adjustment.

These findings have important theoretical and practical implications. Nevertheless, the study was not without limitations. First, generalization of the study results is limited due to the relatively low response rate. Second, the sample size can also be considered to be small, particularly in terms of the number of couples. Still, adequate power in the test of nonindependence [34] and the unbiased estimates of the fixed effects parameters could be obtained for this sample [3537]. Access to a larger and more diversified population was restricted by the internal regulations of many clinics, most of which were private, which relates to the lack of bioethical laws in Poland. Thus, only patients of the public infertility center (with state-funded in vitro treatment) were recruited. Moreover, the partner clinic had little patient rotation. Furthermore, the study was cross-sectional, which does not allow us to draw cause-effect conclusions about the investigated relationships. Future studies will benefit from a larger sample size and longitudinal design. Despite these limitations, these findings highlight the distinct effects of visible support receipt and provision, and invisible support on both positive and negative aspects of adjustment in infertile couples, and hopefully will inspire future research in this area.

Data Availability

The data underlying this study contain potentially identifying information and cannot be publicly shared. Interested researchers can contact the SWPS University of Social Sciences and Humanities, Faculty of Psychology Ethics Committee with data accession requests at the following email: psychoetyka@swps.edu.pl.

Funding Statement

The study was supported by a grant from the Polish Ministry of Education and Science for the SWPS University of Social Sciences and Humanities statutory research (Grant No. 221516/E-560/S/2016).

References

  • 1.Dunkel-Schetter C, Lobel M. Psychological Reactions to Infertility In: Stanton AL, Dunkel-Schetter C, editors. Infertility. Springer US; 1991. pp. 29–57. doi: 10.1007/978-1-4899-0753-0_3 [Google Scholar]
  • 2.Greil AL, Slauson-Blevins K, McQuillan J. The experience of infertility: a review of recent literature. Sociol Health Illn. 2010;32: 140–162. doi: 10.1111/j.1467-9566.2009.01213.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Olivius C, Friden B, Borg G, Bergh C. Why do couples discontinue in vitro fertilization treatment? A cohort study. Fertil Steril. 2004;81: 258–261. doi: 10.1016/j.fertnstert.2003.06.029 [DOI] [PubMed] [Google Scholar]
  • 4.Musa R, Ramli R, Yazmie AWA, Khadijah MBS, Hayati MY, Midin M, et al. A preliminary study of the psychological differences in infertile couples and their relation to the coping styles. Compr Psychiatry. 2014;55 Suppl 1: S65–69. doi: 10.1016/j.comppsych.2013.01.001 [DOI] [PubMed] [Google Scholar]
  • 5.Martins MV, Peterson BD, Almeida VM, Costa ME. Direct and indirect effects of perceived social support on women’s infertility-related stress. Hum Reprod. 2011;26: 2113–2121. doi: 10.1093/humrep/der157 [DOI] [PubMed] [Google Scholar]
  • 6.Rashidi B, Hosseini S, Beigi P, Ghazizadeh M, Farahani M. Infertility stress: The role of coping strategies, personality trait, and social support. J Fam Reprod Health. 2011;5: 101–108. [Google Scholar]
  • 7.Slade P, O’Neill C, Simpson AJ, Lashen H. The relationship between perceived stigma, disclosure patterns, support and distress in new attendees at an infertility clinic. Hum Reprod. 2007;22: 2309–2317. doi: 10.1093/humrep/dem115 [DOI] [PubMed] [Google Scholar]
  • 8.Wang J-Y, Li Y-S, Chen J-D, Liang W-M, Yang T-C, Lee Y-C, et al. Investigating the relationships among stressors, stress level, and mental symptoms for infertile patients: A structural equation modeling approach. PLoS ONE. 2015;10 doi: 10.1371/journal.pone.0140581 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Martins MV, Peterson BD, Costa P, Costa ME, Lund R, Schmidt L. Interactive effects of social support and disclosure on fertility-related stress. J Soc Pers Relatsh. 2012; 0265407512456672. doi: 10.1177/0265407512456672 [Google Scholar]
  • 10.Martins MV, Peterson BD, Almeida V, Mesquita-Guimarães J, Costa ME. Dyadic dynamics of perceived social support in couples facing infertility. Hum Reprod. 2014;29: 83–89. doi: 10.1093/humrep/det403 [DOI] [PubMed] [Google Scholar]
  • 11.Belcher AJ, Laurenceau J-P, Graber EC, Cohen LH, Dasch KB, Siegel SD. Daily support in couples coping with early stage breast cancer: maintaining intimacy during adversity. Health Psychol. 2011;30: 665–673. doi: 10.1037/a0024705 [DOI] [PubMed] [Google Scholar]
  • 12.Morelli SA, Lee IA, Arnn ME, Zaki J. Emotional and instrumental support provision interact to predict well-Being. Emotion. 2015;15: 484–493. doi: 10.1037/emo0000084 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Poulin MJ, Brown SL, Ubel PA, Smith DM, Jankovic A, Langa KM. Does a helping hand mean a heavy heart? Helping behavior and well-being among spouse caregivers. Psychol Aging. 2010;25: 108–117. doi: 10.1037/a0018064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Batson CD, Powell AA. Altruism and prosocial behavior Handbook of psychology. Millon T, Lerner MJ, editors. John Wiley & Sons, Inc.; 2003. [Google Scholar]
  • 15.Sedikides C, Strube MJ. The multiply motivated self. Pers Soc Psychol Bull. 1995;21: 1330–1335. doi: 10.1177/01461672952112010 [Google Scholar]
  • 16.Ying L-Y, Wu LH, Loke AY. The Experience of Chinese Couples Undergoing In Vitro Fertilization Treatment: Perception of the Treatment Process and Partner Support. PloS One. 2015;10: e0139691 doi: 10.1371/journal.pone.0139691 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Coyne JC, Bolger N. Doing without social support as an explanatory concept. J Soc Clin Psychol. 1990;9: 148–158. doi: 10.1521/jscp.1990.9.1.148 [Google Scholar]
  • 18.Lund R, Sejbaek CS, Christensen U, Schmidt L. The impact of social relations on the incidence of severe depressive symptoms among infertile women and men. Hum Reprod. 2009;24: 2810–2820. doi: 10.1093/humrep/dep257 [DOI] [PubMed] [Google Scholar]
  • 19.Revenson TA, Schiaffino KM, Majerovitz SD, Gibofsky A. Social support as a double-edged sword: the relation of positive and problematic support to depression among rheumatoid arthritis patients. Soc Sci Med. 1991;33: 807–813. [DOI] [PubMed] [Google Scholar]
  • 20.Pritchard RD. Equity theory: A review and critique. Organ Behav Hum Perform. 1969;4: 176–211. doi: 10.1016/0030-5073(69)90005-1 [Google Scholar]
  • 21.Cropanzano R, Mitchell MS. Social exchange theory: An interdisciplinary review. J Manag. 2005;31: 874–900. doi: 10.1177/0149206305279602 [Google Scholar]
  • 22.Bolger N, Zuckerman A, Kessler RC. Invisible support and adjustment to stress. J Pers Soc Psychol. 2000;79: 953–961. [DOI] [PubMed] [Google Scholar]
  • 23.Biehle SN, Mickelson KD. Provision and receipt of emotional spousal support: The impact of visibility on well-being. Couple Fam Psychol Res Pract. 2012;1: 244–251. doi: 10.1037/a0028480 [Google Scholar]
  • 24.Bolger N, Amarel D. Effects of social support visibility on adjustment to stress: experimental evidence. J Pers Soc Psychol. 2007;92: 458–475. doi: 10.1037/0022-3514.92.3.458 [DOI] [PubMed] [Google Scholar]
  • 25.Girme YU, Overall NC, Simpson JA. When visibility matters: short-term versus long-term costs and benefits of visible and invisible support. Pers Soc Psychol Bull. 2013;39: 1441–1454. doi: 10.1177/0146167213497802 [DOI] [PubMed] [Google Scholar]
  • 26.Nolen-Hoeksema S. Gender Differences in Depression. Curr Dir Psychol Sci. 2001;10: 173–176. doi: 10.1111/1467-8721.00142 [Google Scholar]
  • 27.Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1: 385–401. [Google Scholar]
  • 28.Ziarko M, Kaczmarek ŁD, Haładziński P. Polish version of Centre for Epidemiological Studies Depression Scale (CES-D): results of a preliminary study on the psychometric properties of the scale. Curr Issues Personal Psychol. 2013;1: 51–61. doi: 10.5114/cipp.2013.40637 [Google Scholar]
  • 29.Crumbaugh JC, Maholick LT. An experimental study in existentialisam: The psychometric approach to Frankl’s concept of noogenic neurosis. J Clin Psychol. 1964;20: 200–207. [DOI] [PubMed] [Google Scholar]
  • 30.Życińska J, Januszek M. Test Sensu Życia (Purpose in Life Test, PIL) J.C. Crumbaugha i L.T. Maholicka: analiza psychometryczna [psychometric analysis]. Czas Psychol—Psychol J. 2011;17: 133–142. [Google Scholar]
  • 31.Schulenberg SE, Schnetzer LW, Buchanan EM. The Purpose in Life Test-Short Form: Development and psychometric support. J Happiness Stud. 2010;12: 861–876. doi: 10.1007/s10902-010-9231-9 [Google Scholar]
  • 32.Schulz U, Schwarzer R. Soziale Unterstützung bei der Krankheitsbewältigung: Die Berliner Social Support Skalen (BSSS) [Social support in coping with illness: The Berlin Social Support Scales (BSSS)]. Diagnostica. 2003;49: 73–82. doi: 10.1026//0012-1924.49.2.73 [Google Scholar]
  • 33.Gonzalez R, Griffin D. Dyadic data analysis In: Cooper H, Camic PM, Long DL, Panter AT, Rindskopf D, Sher KJ, editors. APA handbook of research methods in psychology, Vol 3: Data analysis and research publication. Washington, DC, US: American Psychological Association; 2012. pp. 439–450. [Google Scholar]
  • 34.Kenny DA, Kashy DA, Cook WL. Dyadic data analysis Guilford Press; 2006. [Google Scholar]
  • 35.Hox JJ, Moerbeek M, Schoot R van de. Multilevel analysis: Techniques and applications 2 edition New York: Routledge; 2010. [Google Scholar]
  • 36.Łaszkiewicz E. Sample size and structure for multilevel modelling: Monta Carlo investigation for the balanced design. Quant Methods Econ. 2013;14: 19–28. [Google Scholar]
  • 37.Newsom JT, Nishishiba M. Nonconvergence and sample bias in hierarchical linear modeling of dyadic data Portland State University; 2002. [Google Scholar]
  • 38.Hagedoorn M, Dagan M, Puterman E, Hoff C, Meijerink WJHJ, Delongis A, et al. Relationship satisfaction in couples confronted with colorectal cancer: the interplay of past and current spousal support. J Behav Med. 2011;34: 288–297. doi: 10.1007/s10865-010-9311-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ko LK, Lewis MA. The role of giving and receiving emotional support on depressive symptomatology among older couples: An application of the actor-partner interdependence model. J Soc Pers Relatsh. 2011;28: 83–99. doi: 10.1177/0265407510387888 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Abraído-Lanza AF. Social support and psychological adjustment among Latinas with arthritis: a test of a theoretical model. Ann Behav Med. 2004;27: 162–171. doi: 10.1207/s15324796abm2703_4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Davila J, Kashy DA. Secure base processes in couples: daily associations between support experiences and attachment security. J Fam Psychol. 2009;23: 76–88. doi: 10.1037/a0014353 [DOI] [PubMed] [Google Scholar]
  • 42.Shrout PE, Herman CM, Bolger N. The costs and benefits of practical and emotional support on adjustment: A daily diary study of couples experiencing acute stress. Pers Relatsh. 2006;13: 115–134. doi: 10.1111/j.1475-6811.2006.00108.x [Google Scholar]
  • 43.Burleson BR, Hanasono LK. Explaining cultural and sex differences in responses to supportive communication: A dual-process approach In: Sullivan KT, Davila J, editors. Support Processes in Intimate Relationships. Oxford University Press; 2010. pp. 291–317. [Google Scholar]
  • 44.Knoll N, Kienle R, Bauer K, Pfüller B, Luszczynska A. Affect and enacted support in couples undergoing in-vitro fertilization: When providing is better than receiving. Soc Sci Med. 2007;64: 1789–1801. doi: 10.1016/j.socscimed.2007.01.004 [DOI] [PubMed] [Google Scholar]
  • 45.Hobfoll SE. Social and psychological resources and adaptation. Rev Gen Psychol. 2002;6: 307–324. doi: 10.1037/1089-2680.6.4.307 [Google Scholar]
  • 46.Joiner TE, Katz J. Contagion of depressive symptoms and mood: meta-analytic review and explanations from cognitive, behavioral, and interpersonal viewpoints. Clin Psychol Sci Pract. 1999;6: 149–164. doi: 10.1093/clipsy.6.2.149 [Google Scholar]
  • 47.Maisel NC, Gable SL. The paradox of received social support: the importance of responsiveness. Psychol Sci. 2009;20: 928–932. doi: 10.1111/j.1467-9280.2009.02388.x [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data underlying this study contain potentially identifying information and cannot be publicly shared. Interested researchers can contact the SWPS University of Social Sciences and Humanities, Faculty of Psychology Ethics Committee with data accession requests at the following email: psychoetyka@swps.edu.pl.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES