Interaction of anxiety and hypertension on quality of life among patients with gynecological cancer: a cross-sectional study

Among the psychological factors affecting the QOL, cancer-related anxiety is more common in the incidence of emotional disorders [7]. Sudden onset of disease or partial organ loss caused by tumor resection will affect the patients’ self-esteem and self-confidence, hence affect the patients’ self recognition, and cause severe anxiety. Previous studies have shown that the anxiety with female patients diagnosed with cancer in the preoperative, postoperative and chemotherapy period is widespread and the incidence is high [8]. The level of anxiety in female cancer patients was significantly higher than that in male cancer patients, which indicated that patients with gynecological cancer may belong to an anxious group [9, 10]. Studies have shown that the incidence of anxiety in patients with gynecological cancer is 23.7% to 42% [11‐13]. Cancer patients have obvious psychological stress reaction or psychological disorder, especially anxiety, which will affect coping style, treatment compliance, immune function and reduce QOL [14]. A meta-analysis showed that anxiety affect 10% of cancer patients at any stage of cancer [15]. About 75% of patients with obvious anxiety did not receive any psychological or drug-related treatment systematically or never [16], leading to the obstruction of making anticancer decision, poor treatment compliance, prolonged disease recovery time, and negatively affected their QOL [17]. In cancer patients, the most common cardiovascular disease is hypertension. Previous study showed that compared with the normal population, the incidence rate of anxiety in patients who knew their blood pressure values were high [18]. Patients with hypertension may be excessively nervous due to their lack of understanding of the disease and worry about the adverse effects of anti hypertensive drug treatment, resulting in poor mood and anxiety. This psychological state in turn will aggravate the condition of hypertension, weaken the medication adherence, and cause a vicious circle between hypertension and anxiety [19]. The epidemiological investigation on hypertension and anxiety comorbidity showed that the prevalence of anxiety complicated with hypertension in China is 11.6%—38.5% [20]. A survey in Ghana found that 56.0% of hypertensive patients had anxiety [19]. Hypertension can affect the QOL of the elderly population, and has a greater impact on elderly women [21]. However, few studies have discussed the interaction effect of hypertension and anxiety on the QOL.

For patients with anxiety and hypertension coexisting, it is inevitable that their QOL will be affected. In order to balance the impact of stressful life events, some studies have emphasized the importance of social support on the QOL of patients with mental illness [22]. Social support refers to the spiritual or material help and support system given by the outside world, and a good social support system helps to promote mental health [23]. Huang et al. (2013) found that social support was a moderator of depression on QOL in breast cancer patients, which can significantly alleviate the impact of depression on QOL [24]. Panayiotou et al. (2013) found that social support helps the negative impact of anxiety on QOL [25]. Anyway social support directly and indirectly regulates the influence of variables to play its role, that is, the “buffer hypothesis”, which has been widely confirmed [26]. Social support is a regulatory factor between stress and health, and helps individuals cope with crisis and better adapt to changes in the environment, and the effect of social support on health can only occur during the transition period of life trajectory and sudden crisis[27]. Previous research found that social support itself had no direct impact on health, but indirectly benefited physical health by buffering social pressure and psychological pressure, while the lack of social support would aggravate the negative impact of pressure on the body [28]. To summarize, social support can improve the individual’s sense of security and self-confidence in the face of stress by providing corresponding social resources or psychological resources for individuals under stress, so as to strengthen the stress ability of individuals, reduce the erosion of stress on individuals, and thus improve individual health. Therefore, this paper chose social support as the moderating variable in gynecologic tumor patients with hypertension and anxiety.

The purposes of this study are as follows: 1) This study analyzed the effect of the interaction of anxiety and hypertension on the QOL. 2) For patients with anxiety and hypertension, it also aims to test whether the social support could moderate the impact of anxiety and hypertension on QOL, and to provide the theoretical basis for improving the QOL of patients with gynecological cancer.

Since December 2019 to July 2020, a total of 566 patients with gynecological cancer have been collected from the Affiliated Hospital of China Medical University in Liaoning, Shenyang. Inclusion criteria: during the investigation, the condition was relatively stable, with clear consciousness and no serious complications; voluntary participants; the expected survival time was > 9 months.

General characteristics included age, marital status, education level, monthly income (CNY), habitation, hypertension, stage of cancer, BMI. The measurement of monthly income was based on the amount of fixed monthly income filled by the patients (1 CNY≈ 0.1397 USD). The hypertension was measured by the hospital nurses. Participants were asked to sit for at least 10 min. Supine brachial SBP and DBP were measured twice in the right arm for each subject. The mean score of the last two measurements was considered as the BP value. If the blood pressure was ≥ 140/90 mmHg, the subject was asked to rest for 15 min, and BP was retaken twice. The mean of the two measurements was the final result. SBP ≥ 140 mmHg and/or a DBP ≥ 90 mmHg was defined as Hypertension.

Zung’s Self-Rating Anxiety Scale (SAS) was used [29]. The SAS considered both emotional and physical symptoms, including 20 items, of which 15 were negative experiences and 5 were positive experiences. The SAS uses a 4-point rating scale (1 = No or little; 2 = A little; 3 = Quite a bit; and 4 = Very much). Add all the items together to form a rough score, which is multiplied by 1.25 and rounded to get the standard score to evaluate anxiety. The index score of 45 (original score = 36) was set as the cut-off point for clinical significant anxiety in our study [30]. The Cronbach’s alpha of it was 0.918 which proved that the scale had good reliability.

The Functional Assessment of Cancer Therapy Genera (FACT-G) tool is applicable to all cancer sites, and is included as the common cancer core questionnaire for specific instruments of each fact cancer site [31]. The FACT-G is a cancer-targeted QOL measure that includes physical well-being, social well-being, emotional well-being, and functional well-being. The FACT-G uses a 5-point rating scale (0 = Not at all; 1 = A little bit; 2 = Somewhat; 3 = Quite a bit; and 4 = Very much). The scale consists of 27 items with a total score range of 0 to 108. In this study, the Cronbach’s alpha of global scale was 0.899 which proved that the scale had good reliability.

The Multidimensional Scale of Perceived Social Support (MSPSS) is a subjective assessment of social support adequacy with 12-item with a total score range of 12–84[32]. The 12 items in MSPSS are divided into three sources of support, including family support, friend support and other support. The MSPSS uses a 7-point rating scale (1 = Strongly disagree; 2 = Disagree; 3 = Disagree slightly; 4 = Neutral; 5 = Agree slightly; 6 = Agree; 7 = Strongly agree). Add all the items together to form a rough score. In this study, the Cronbach’s alpha of global scale was 0.963 which proved that the scale had good reliability.

SPSS Statistics 21.0 software was used for statistical analysis. Chi square test was used to compare the count data. The significant variables in univariate analysis were used as independent variables, and multiple logistic regression was performed. By using Delta method, the excel table compiled by Andersson et al. [33] was introduced to calculate the related indexes of additive interaction. The OR value obtained by logistic regression model in the interaction calculation process was used as the estimation value of relative risk (RR). Additive interaction index: (1) the relative excess risk due to interact (RERI) was used to evaluate the difference between the combined effect of factor A (anxiety) and factor B (hypertension) and the sum of factors A (anxiety) and B (hypertension) alone; (2) the attributable proportion due to interaction (AP) was used to evaluate the proportion of interaction between two factors when two factors A (anxiety) and B (hypertension) exist at the same time; (3) the synergy index (S): the confidence interval of S is greater than 1 [34‐36]. Correlations among variables were examined by Pearson’s correlation. Hierarchical regression analysis was used to prove the relationship of variables and to examine the moderating effect. Finally, the simple slope analysis was conducted to visualize the interaction term [37]. Significance level was α = 0.05, and a two-tailed P < 0.05 was considered to have statistical significance.

566 cases were investigated with an average age of (56.34 ± 9.78) years. The average score of QOL was 72.69 ± 18.10. There were 304 cases with good QOL(> 72.69) and 262 cases with poor QOL(≤ 72.69). 253 cases had anxiety (44.7%); 192 cases had hypertension (33.9%); 113 cases had anxiety with hypertension (20.0%). The univariate analysis results between QOL and all categorical variables were shown in Table 1. Monthly income (CNY), hypertension, BMI, anxiety symptoms and perceived social support (PSS) were significantly correlated with QOL (P < 0.05). Age (Years), marital status, education level, habitation, and stage of cancer were not significantly correlated with QOL (P > 0.05).

Taking the QOL as the dependent variable, the variables with P < 0.1 in the single factor were included in the multiple logistic regression. The results showed that the factors that entered the equation were monthly income (CNY), hypertension, anxiety, and PSS. Monthly income > 4000 yuan and PSS were the protective factors for the QOL, and hypertension and anxiety were the risk factors for the QOL. The details were shown in Table 2.

As shown in Table 3, 113 patients (20.0%) were anxiety with hypertension. The reference were no anxiety and no hypertension. The OR value of hypertension without anxiety on QOL was 3.112 (95%CI:1.778–5.447); The OR value of anxiety without hypertension on QOL was 7.978 (95%CI:4.939–12.886); The OR value of hypertension and anxiety on QOL was 32.327 (95%CI: 16.848–62.026). The interaction between anxiety and hypertension was significant. The relative excess risk ratio (RERI) was 22.238 (95%CI:44.119–88.596); the attribution ratio (AP) was 0.688 (95%CI:0.234–1.142); The interaction index (S) was 3.466 (95%CI: 0.823–14.435). AP was 0.688, indicating that 68.8% of the patients with poor QOL due to the interaction between anxiety and hypertension.

As shown in Table 4, anxiety was negatively correlated with QOL and PSS, and positively correlated with BP (P < 0.01). BP was negatively correlated with PSS and QOL (P < 0.01). PSS was positively correlated with QOL (P < 0.01).

As shown in Table 5, age, monthly income (CNY), and BMI were added in the first step. In the second block, anxiety and PSS were added. Finally, the PSS&Anxiety interaction term were added in the last block. The PSS&Anxiety interaction term was negatively correlated with QOL (β = -0.219, P < 0.01), and explained an extra 4.0% of the variance (F = 68.649, Adjusted R² = 0.399, ΔR² = 0.040, P < 0.01); The PSS&BP interaction term was not associated with QOL (β = 0.013, F = 55.138, Adjusted R² = 0.365, ΔR² = 0.001, P = 0.730).

In Fig. 1, simple slope analysis showed that the association between anxiety and QOL was gradually decreased in the low (-1SD below the mean, B = 0.110, β = 0.093, P < 0.05), mean (B = -0.269, β = -0.229, P < 0.01) and high (+ 1SD above the mean, B = -0.648, β = -0.552, P < 0.01) groups of PSS.

Our study included more participants than previous studies; Different from previous single factor studies, we analyzed the interaction between hypertension and anxiety on quality of life; Finally, we also analyzed the moderating effect of perceived social support to better explain the relationship between variables. This study was a cross-sectional study, so we could not get the causal relationship between variables; More variables that may affect the quality of life should be included; Self filled questionnaire will bring bias problems to this study, such as recall bias, measurement bias, etc.