Introduction
Psychosocial stress has been hypothesized to be an important risk factor of human essential hypertension [1, 2]. Empirical evidence for the association between psychosocial stress and elevated blood pressure, some of which has been obtained in prospective studies, has been mainly found for daily stress, such as experienced at the workplace (e.g., [3, 4]).
However, up to date, little attention has been paid by researchers to adaptive psychosocial factors that may have a role in counteracting the adverse effects of psychosocial stress [5]. One important exception is social support that has been associated earlier with decreased ambulatory systolic and diastolic blood pressure [6, 7] while a decrease in social support over a period of nine years has been found to be linked with higher hypertension incidence rates in women [8].
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Apart from social support, potentially protective psychological factors have hardly been studied in relation to elevated blood pressure, in particular coping styles. In the present study, we focused on two putatively adaptive coping styles, one reflecting problem-focused coping (i.e., active coping), and one being part of the emotion-focused category (i.e., positive reinterpretation). Although problem-focused coping has been suggested to be an adaptive coping style in general, only in one previous study problem-focused active coping was examined in relation to hypertension rates. A tendency for higher hypertension rates was found in those scoring low on work-related problem-focused coping [9].
Positive reinterpretation of stressful situations may be considered an adaptive emotion-focused strategy, which results in a more positive appraisal of the situation and of one’s ability to cope with it [10]. To date, no studies have been reported on the direct association between this coping style and tonic blood pressure levels. However, the appraisal of a stressor and of its consequences is an important determinant of the physiological responses of people to laboratory and daily life stressors, including cardiovascular responses [11, 12]. Milder reactions to these stressors may be associated with a lower risk of hypertension development [13].
Therefore, the primary aim of this study was to evaluate the association between these putatively adaptive psychosocial factors and (1) the prevalence of elevated blood pressure and (2) systolic and diastolic blood pressure levels in a community sample. In addition, we examined whether the associations found would be similar for both sexes, as in several studies lack of social support has been found to be associated with hypertension or correlated with blood pressure levels to a different extent in women and men [6, 14]. A major strength of the current study is that blood pressure measurements were performed at the participants’ homes instead of the clinic, preventing the occurrence of the white-coat effect [15], which threatens the validity of resting blood pressure measurement.
Method
Participants and Procedure
Participants were recruited from three towns in the Mid-Brabant area in southern Netherlands. After a campaign in the local media, street-by-street every household was contacted by telephone for participation. In each household two adults in the age range of 20–55 years could participate. If a person agreed to participate in the study, an appointment was made for the measurement of blood pressure at his or her home and for the delivery of the questionnaire set. People refusing participation were asked about basic demographics (age and sex), and blood pressure status (by means of the question “Do you have elevated blood pressure?”). After the appointment, one week later, the test booklets were recollected.
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A total of 2,095 individuals (69.3% of the individuals contacted by telephone) agreed to participate in the study: 1,120 women, 903 men, and 72 persons who did not provide information regarding their sex. Participants who reported to have diabetes mellitus, or any form of kidney or heart disease (N = 59) were excluded from the analyses. In addition, individuals on hypertensive medication who appeared to have normal blood pressure values (24 women and 25 men) were omitted from the analyses because their blood pressure status is unclear. Because of certain psychological characteristics (high anxiety), some of these individuals probably had elevated office readings (“white-coat” hypertension) and anti-hypertensive medication prescribed, while not really having hypertension [16], which biases assessments of associations between psychosocial variables and blood pressure [17]. Due to incomplete or incorrect blood pressure readings (see below; N = 40) and incomplete questionnaire data (N = 176), final (multivariate) analyses were based on 985 women and 777 men.
The study was approved by the institutional review committee of Tilburg University. Informed consent was obtained from the participants at the start of the study.
Blood Pressure Measurements
Blood pressure data were collected in the evening, at the participants’ home using a validated Philips HP 5330 automatic digital device, based on the oscillometric method [18]. The sphygmomanometer used measures blood pressure automatically. Therefore, non-medical collaborators who received a brief training performed the measurements. Because of evidence that the kind of setting (home versus clinic) is more important than the number of measurements on separate days for clinical prognosis [19, 20], four consecutive blood pressure measurements were taken while participants were sitting in a quiet room in their homes, with two-minutes intervals between the measurements. Mean systolic and diastolic pressure (SBP and DBP) were defined as the mean of at least three valid measurements after levels that deviated more than 20% from the mean of the other values were discarded (only 0.8% of the systolic and 0.3% of the diastolic pressures; including these outliers did not change the results presented).
Questionnaires
Perceived social support was measured by a Dutch version of the brief (six-item) Social Support Questionnaire [21]. On five-point Likert scales, ranging from “(almost) never” to “(nearly) always”, respondents indicate the frequency of feeling emotionally and instrumentally supported. An example item is “When I feel down-in-the-dumps, I can count on people that make me feel better”. Both the original scale and the adapted Dutch version have a good internal consistency and validity: Cronbach α ≥ 0.90 for the original [21] and 0.80 for the Dutch version in the present sample.
Active coping and positive reinterpretation were assessed by means of the equally named four-item subscales from the Dutch version of the COPE inventory [10, 22]. Participants answer on four-point Likert scales, ranging from “I usually don’t do this at all” to “I usually do this a lot”, to what extent they engage in the behaviors as reflected by each of the statements. An example item of the Active Coping subscale is “I take additional action to try to get rid of the problem”, while an item of the Positive Reinterpretation scale is “I look for something good in what is happening”. The Dutch version of the subscales has adequate internal consistency (Cronbach α is 0.80 and 0.72, respectively, in the present sample) and validity [10, 22].
In addition, information was collected concerning the following demographic and biobehavioral variables: sex, age, height, weight, marital status, employment status, years of education, smoking, daily coffee intake, weekly alcohol consumption, weekly physical exercise, medication use, and history (own and parental) of hypertension (with onset before the age of 60), diabetes mellitus, and any form of kidney disease.
Statistical Analysis
We tested the associations between the psychosocial variables and both elevated blood pressure and continuous SBP and DBP levels. Elevated blood pressure was defined as having a mean SBP of at least 140 mmHg, or a mean DBP of at least 90 mmHg. Individuals with values below 140/90 mmHg and not using anti-hypertensive medication were used as the reference group in multiple logistic regression analyses predicting blood pressure status. Psychosocial factors were entered as continuous variables to preserve the whole range of scores. In order to facilitate interpretation of the Odds Ratios in the logistic regression analyses, mean instead of sum scores of the items of each scale were used, making the range of scores 1–4 for the coping subscales and 1–5 for social support. For associations with continuous SBP and DBP, multiple linear regression analyses were used.
Analyses were performed twice, with and without the following biomedical, lifestyle, and sociodemographic variables in the analysis at the first step (before the psychosocial predictors): age, body mass index (BMI: weight/(height2)), paternal and maternal history of hypertension, years of education, marital status, employment status, smoking, alcohol and coffee consumption, use of oral contraceptives, physical exercise, and, in the case of the prediction of SBP and DBP, anti-hypertensive medication. Anti-hypertensive medication was not used as a predictor of elevated blood pressure as it was part of the definition of the dependent variable. In addition, to examine potential differential effects for women and men, additional interaction variables were computed being the product of each psychosocial variable by sex, which were included at step 3 of the analyses (after the main effects of the psychosocial variables at step 2).
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Results
Descriptives
Respondents were somewhat older than individuals who were not willing or not able to participate in the study: 39.4 ± 8.8 vs. 37.8 ± 9.4, respectively (t = 3.84, P < 0.001). A larger proportion of the respondents reported having elevated blood pressure compared with non-respondents: 9.0% vs. 6.0%, (χ
2 = 5.24, P < 0.05). Both sexes were equally represented in both groups: 56.1% women in the group of non-respondents and 55.6% among the participants (χ
2 = 0.05, P > 0.10).
Applying the current criteria (at least 140 mmHg systolic or 90 mmHg diastolic), 92 (9.3%) women and 123 (15.8%) men were regarded as having elevated home blood pressure. The sample characteristics of the respondents are shown in Table 1. Significant differences between people with and those without elevated blood pressure were found regarding age, BMI, and the use of anti-hypertensive medication for both sexes. Parental history of hypertension, lower education and less physical exercise were associated with elevated blood pressure only in women, whereas more alcohol consumption, more years of smoking, and unemployment were associated with elevated blood pressure in men (Table 1).
Table 1
Characteristics of study participants
Women | Men | |||||
|---|---|---|---|---|---|---|
Variable | Normotensive | Elevated BP |
t or χ
2
| Normotensive | Elevated BP |
t or χ
2
|
(N = 893) | (N = 92) | (N = 654) | (N = 123) | |||
SBP | 113.13 (10.44) | 143.52 (14.68) | 19.16*** | 120.52 (9.57) | 145.76 (12.33) | 21.35*** |
DBP | 72.46 (7.78) | 95.27 (7.99) | 26.46*** | 75.00 (7.44) | 91.94 (7.73) | 22.86*** |
Age | 37.87 (8.60) | 42.22 (9.05) | 4.56*** | 39.26 (8.27) | 44.10 (7.41) | 6.47*** |
BMI | 23.40 (3.50) | 26.04 (4.84) | 5.05*** | 24.61 (2.82) | 26.99 (3.64) | 6.83*** |
Anti-HT med | 0.0% | 12.5% | 119.13*** | 0.0% | 9.2% | 64.27*** |
Mother HT | 18.9% | 31.9% | 11.73** | 21.0% | 25.6% | 2.46 |
Father HT | 12.7% | 22.3% | 6.74* | 11.2% | 12.8% | 3.80 |
Partner | 90.2% | 86.2% | 1.54 | 90.0% | 88.0% | <1.0 |
Education | 10.34 (2.76) | 9.59 (2.69) | 2.47* | 10.94 (3.08) | 10.69 (2.89) | <1.0 |
Employment | 56.4% | 47.9% | 2.52 | 94.4% | 89.6% | 4.07* |
Smoker | 34.3% | 26.6% | 2.28 | 39.5% | 47.2% | 2.55 |
Smoking years | 8.90 (8.57) | 7.92 (8.33) | 1.03 | 10.94 (9.91) | 15.31 (10.88) | 4.38*** |
Coffee | 3.89 (2.76) | 4.00 (2.75) | <1.0 | 5.18 (3.08) | 5.39 (2.61) | <1.0 |
Alcohol | 3.78 (5.30) | 3.37 (5.88) | <1.0 | 9.21 (8.31) | 11.88 (9.39) | 3.17** |
Exercise | 1.59 (1.80) | 1.11 (1.47) | 2.46* | 2.04 (2.44) | 1.65 (2.11) | 1.64 |
Contraceptive | 31.4% | 31.9% | <1.0 | |||
Active coping | 9.76 (2.04) | 9.70 (2.24) | <1.0 | 10.80 (2.24) | 10.64 (2.34) | <1.0 |
Pos. reinterp. | 10.43 (2.11) | 9.80 (1.96) | 2.79** | 10.62 (2.04) | 10.22 (1.92) | 2.02* |
Social support | 23.72 (3.70) | 23.54 (3.89) | <1.0 | 22.12 (3.97) | 21.63 (3.79) | 1.29 |
Elevated Blood Pressure
In the logistic regression analyses including only the psychosocial variables, positive reinterpretation was associated with a lower probability of having elevated blood pressure (OR = 0.47, 95% CI = 0.36–0.67, Wald = 17.63, P < 0.001), whereas for active coping the reverse relationship was obtained (OR = 1.59, 95% CI = 1.15–2.18, Wald = 8.06, P = 0.005). Social support was not associated with elevated blood pressure (P > 0.10), nor was any of the sex × psychosocial variable interaction terms (all P > 0.10).
In the multiple logistic regression analysis, including the biomedical, lifestyle, and sociodemographic variables at step 1, the following variables emerged as significant predictors of elevated blood pressure: age, having no partner, BMI, both paternal and maternal history of hypertension, alcohol consumption, low physical exercise, and the use of oral contraceptives (see Table 2 for the final model). After controlling for these variables, positive reinterpretation was still associated with a lower risk of having elevated blood pressure (OR = 0.60, 95% CI = 0.40–0.88, Wald = 6.91, P = 0.009). The effect of active coping was reduced to a non-significant trend (OR = 1.36, 95% CI = 0.95–1.95, Wald = 2.83, P = 0.093). Social support and the interaction effects with sex were not associated with elevated blood pressure (all P > 0.10).
Table 2
Predictors of elevated blood pressure (SBP ≥ 140 mmHg or DBP ≥ 90 mmHg) in 1,762 women and men from the general population in the Netherlands
Variable | Odds Ratio | 95 % Confidence interval | Wald statistic |
P-value |
|---|---|---|---|---|
Step 1 | ||||
Age | 1.07 | 1.05–1.10 | 43.20 | <0.001 |
Male sex | 1.76 | 1.20–2.57 | 8.52 | 0.004 |
Years of education | 1.02 | 0.96–1.07 | 0.27 | >0.10 |
Partner: yes/no | 0.58 | 0.35–0.95 | 4.69 | 0.030 |
Job: yes/no | 0.80 | 0.53–1.20 | 1.15 | >0.10 |
Body mass index | 1.16 | 1.11–1.20 | 52.39 | <0.001 |
Hypertensive mother | 1.63 | 1.12–2.35 | 6.61 | 0.010 |
Hypertensive father | 1.98 | 1.27–3.08 | 9.22 | 0.002 |
Smoking: yes/no | 1.21 | 0.78–1.86 | 0.72 | >0.10 |
Alcohol: glasses per week | 1.02 | 1.00–1.04 | 4.05 | 0.044 |
Coffee: cups per day | 0.98 | 0.93–1.04 | 0.37 | >0.10 |
Exercise: hours per week | 0.92 | 0.84–0.99 | 4.43 | 0.035 |
Oral contraceptives | 2.23 | 1.31–3.79 | 8.75 | 0.003 |
Step 2 | ||||
Active coping | 1.36 | 0.95–1.95 | 2.83 | 0.093 |
Positive reinterpretation | 0.60 | 0.40–0.88 | 6.91 | 0.009 |
Perceived social support | 0.93 | 0.74–1.18 | 0.35 | >0.10 |
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Systolic Blood Pressure
The multivariate linear regression analysis including only the psychosocial variables revealed small but significant associations with SBP for all three variables: active coping (β = 0.15, t = 5.24, P < 0.001), positive reinterpretation (β = −0.14, t = −4.84, P < 0.001), and social support (β = −0.08, t = −3.47, P = 0.001). When the biomedical, sociodemographic, and lifestyle variables were entered into the equation at step 1, eight variables were significantly associated with SBP: age, sex, having a partner, BMI, paternal and maternal history of hypertension, and use of anti-hypertensive medication and oral contraceptives (see Table 3 for the final model). At step 2, after controlling for these variables, only active coping (β = 0.07, t = 2.65, P = 0.008), and positive reinterpretation (β = −0.09, t = 3.25, P = 0.001) still were significantly associated with SBP levels. Sex × psychosocial variables interactions were not associated with SBP (all P > 0.10) at step 3 of the analysis.
Table 3
Predictors of systolic blood pressure levels in 1,762 women and men from the general population in the Netherlands
Variable |
β
|
t-value |
P-value |
|---|---|---|---|
Step 1 | |||
Age | 0.14 | 6.36 | <0.001 |
Male sex | 0.26 | 10.55 | <0.001 |
Years of education | −0.04 | −1.53 | >0.10 |
Partner: yes/no | −0.06 | −2.72 | 0.007 |
Job: yes/no | 0.01 | 0.50 | >0.10 |
Body mass index | 0.32 | 14.96 | <0.001 |
Anti-hypertensive medication | 0.18 | 8.63 | <0.001 |
Hypertensive mother | 0.06 | 2.73 | <0.006 |
Hypertensive father | 0.07 | 3.58 | <0.001 |
Smoking: yes/no | −0.03 | −1.43 | >0.10 |
Alcohol: glasses per week | 0.04 | 1.65 | 0.099 |
Coffee: cups per day | −0.04 | −1.89 | 0.058 |
Exercise: hours per week | −0.01 | −0.26 | >0.10 |
Oral contraceptives | 0.14 | 5.67 | <0.001 |
Step 2 | |||
Active coping | 0.07 | 2.65 | 0.008 |
Positive reinterpretation | −0.09 | −3.35 | 0.001 |
Perceived social support | −0.01 | −0.53 | >0.10 |
Diastolic Blood Pressure
When only the psychosocial variables were entered into the regression model, all were significantly associated with DBP: active coping (β = 0.10, t = 3.29, P = 0.001), positive reinterpretation (β = −0.08, t = −2.65, P = 0.008), and social support (β = −0.08, t = −3.27, P = 0.001). The analysis including biomedical, sociodemographic, and lifestyle variables at step 1 yielded the following significant predictors of DBP: age, sex, having a partner, BMI, paternal and maternal history of hypertension, alcohol and coffee consumption, exercise, and use of anti-hypertensive medication and oral contraceptives (see Table 4 for the final model). At step 2, no psychosocial variable retained significance (Table 4). Also the sex × psychosocial variable interactions were not associated with DBP (P > 0.10) at step 3 of the analysis.
Table 4
Predictors of diastolic blood pressure levels in 1,762 women and men from the general population in the Netherlands
Variable |
β
|
t-value |
P-value |
|---|---|---|---|
Step 1 | |||
Age | 0.24 | 10.31 | <0.001 |
Male sex | 0.10 | 3.89 | <0.001 |
Years of education | 0.00 | 0.02 | >0.10 |
Partner: yes/no | −0.03 | −1.16 | >0.10 |
Job: yes/no | 0.03 | 1.33 | >0.10 |
Body mass index | 0.29 | 13.26 | <0.001 |
Anti-hypertensive medication | 0.18 | 8.61 | <0.001 |
Hypertensive mother | 0.07 | 3.24 | 0.001 |
Hypertensive father | 0.10 | 4.64 | <0.001 |
Smoking: yes/no | −0.05 | −1.77 | 0.076 |
Alcohol: glasses per week | 0.08 | 3.24 | 0.001 |
Coffee: cups per day | −0.06 | −2.35 | 0.019 |
Exercise: hours per week | −0.05 | −2.30 | 0.022 |
Oral contraceptives | 0.16 | 6.19 | <0.001 |
Step 2 | |||
Active coping | 0.05 | 1.77 | 0.077 |
Positive reinterpretation | −0.04 | −1.31 | >0.10 |
Perceived social support | −0.04 | −1.59 | >0.10 |
Discussion
The aim of the present study was to investigate the relationship between putatively adaptive psychosocial factors and home blood pressure in a cross-sectional population based study in the Netherlands. The results show that psychosocial factors indeed significantly contributed to the prediction of elevated blood pressure rates as well as systolic blood pressure levels. These relationships were often still significant when controlled for sociodemographic, biomedical, and lifestyle factors. No differential effects were found for women and men. However, the identified effects were not always in the expected direction, which is discussed below.
Most clear associations were found for positive reinterpretation of the situation. This cognitive style was associated with lower rates of elevated blood pressure as well as lower systolic blood pressure levels, even when controlled for potentially confounding variables. This cognitive strategy reflects reappraising the situation in positive terms, an example item being “I look for something good in what is happening” [10]. Such a strategy enhances feelings of being in control, which has been shown in animal research to be a powerful factor reducing stress-related pressure effects [23]. To the best of our knowledge, this is the first study that has examined this adaptive cognitive style in relation to elevated blood pressure. This style is expected to be related to psychological personality traits such as optimism and sense of coherence, which both have been associated with decreased blood pressure levels [24] as well as with buffering stress-related blood pressure increases during laboratory stress tasks [25]. As these psychological traits both also have enhanced feelings of control as central characteristic, it may be hypothesized that this is the main ingredient of their positive effects.
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Regarding the problem-focused style of active coping, in contrast to our hypothesis we found a tendency for a positive association with elevated blood pressure and a small, but significant positive association with systolic blood pressure levels, even when controlled for sociodemographic, biomedical, and lifestyle variables. The inconsistency with one previous study reporting a tendency for a negative association between problem-focused coping and hypertension rates [9] may be mainly due to the instruments used to asses this coping style. While our measure reflects a general tendency to cope in an active effortful way to “get around the problem” [10], the measure used by Theorell et al. specifically assesses the tendency to proactively approach a colleague who treats you “in an unfair way”. This is a specific situation, which may be dealt with adequately by proactive problem-focused coping. The general measure of active coping we used might partially tap into an overgeneralized tendency to apply this style across situations, even in those in which the problem really cannot be fixed. This description would fit the so-called John Henryism coping style [26], which, in line with our results, has been shown to be associated with elevated blood pressures in correlational studies in some community sample populations, especially in African Americans of low socio-economic status [26, 27].
Although perceived social support was associated with both lower systolic and diastolic blood pressure, this association disappeared when controlling for sociodemographic, biomedical, and lifestyle variables. In some previous studies, negative associations between social support and blood pressure or hypertension rates were found even when controlled for such confounding variables (e.g., [6, 28, 29]. The type of support assessed and the sample studied are factors that may have a role in the discrepancy with our results. Studies finding negative associations often involved either specific types of support, such as perceived support at work [6] or support from one’s family [29], or specific ethnic groups, such as African Americans [28]. In line with our findings, in some previous studies no associations were obtained between general social support and blood pressure levels [30], or the association disappeared when controlling for sociodemographic and lifestyle variables [31].
Potential mechanisms for the association between psychosocial factors and elevated blood pressure include indirect paths via unfavorable health behavior habits, such as limited physical exercise, overeating, smoking, and alcohol abuse, and direct psychophysiological pathways, such as cardiovascular and endocrine stress reactivity. In our analyses, the potential influence of health behavior habits was controlled and did not diminish the significant effects of coping styles. However, in the present study BMI, smoking and alcohol consumption were assessed by self-reports. In addition, diet was not assessed. This might have underestimated the role of these factors in the present study and, as a consequence, overestimated the role of psychosocial factors. This is a limitation of the present study. In the case of social support, a post-hoc analysis revealed that the disappearance of the associations in the controlled analyses was not due to health behaviors, but to the effect of sex; women scored higher on social support and showed lower blood pressure.
The direct psychophysiological paths that may be involved in the association between psychosocial factors and blood pressure include mechanisms such as sympathetic hyperreactivity, reduced baroreflex gain, and transient endothelial dysfunction during psychosocial stress [32‐34]. For instance, recently it has been shown that adaptive psychosocial factors, including a positive reinterpretation facet, are protective against a hyperreactive neuroendocrine system, which is related to hypertension development [35].
Besides the use of self-reports to estimate BMI and health behaviors, the present cross-sectional design is a limitation, not permitting any conclusions regarding the causal nature of the associations found. However, most of our participants had only mildly elevated blood pressures, which usually is asymptomatic. In addition, and more important, most participants in the elevated blood pressure group (62%) did not know they had elevated blood pressure. Therefore, it does not seem very likely that their elevated blood pressure has influenced the psychosocial factor scores. Nevertheless, it is clear that prospective studies are needed to address the issue of causality.
Open Access
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.