This is a preliminary analyses of data set collected by Geers & Colleagues. The data comes from a survey in which women were asked questions about their feelings about menopause. This analysis is primarily interested in the mindsets of women about menopause.
We want to look at the following: - Descriptive statistics for the individual mindsets across all women and stratified by menopause status. - Relationship between mindsets about menopause and willingness to pursue different treatments
m <- read.csv("menopause_111517.csv")
Individual Mindsets
Body Capable
describe(body_capable_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 365 3.67 0.94 3.67 3.73 0.99 1 5 4 -0.43 -0.07
## se
## X1 0.05
Body Adversary
describe(body_adversary_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 364 1.65 0.63 1.67 1.56 0.49 1 4.33 3.33 1.08 1.04
## se
## X1 0.03
Menopause Manageable
describe(men_manage_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 371 4.3 0.84 4.33 4.44 0.99 1 5 4 -1.77 4.14
## se
## X1 0.04
Menopause Catastrophe
describe(men_cat_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 361 2.22 0.99 2 2.12 0.99 1 5 4 0.72 0.16 0.05
Menopause Opportunity
describe(men_opp_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 359 3.06 0.93 3 3.07 0.99 1 5 4 -0.18 0.03
## se
## X1 0.05
Overall Mindsets
Capability of the Body
describe(capability_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 357 4.01 0.64 4 4.04 0.74 2 5 3 -0.33 -0.32
## se
## X1 0.03
Manageability of Menopause
describe(manageability_avg)
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 360 4.04 0.71 4 4.08 0.74 1.33 5 3.67 -0.52 -0.1
## se
## X1 0.04
Mean Agreement with Each Individual Mindset Across Menopause Status
ggplot(data=means, aes(x=Status, y=mean, fill=variable, width=0.75)) + geom_bar(stat="identity", width=1.0, position=position_dodge()) + labs(x="Status", y="Mean Mindset") + scale_fill_manual(values=c("#FF9999","#CC3333","#FF6666","#99CCFF","#0066CC"))
Mean Agreement with Overall Mindsets Across Menopause Status
ggplot(data=means2, aes(x=Status, y=mean, fill=variable, width=0.75)) + geom_bar(stat="identity", width=1.0, position=position_dodge()) + labs(x="Status", y="Mean Mindset") + scale_fill_manual(values=c("#CC3333","#0066CC"))
Number of Subjects Endorsing Each Category of Menopause Status in Total Sample
ggplot(data=m2) +
geom_bar(mapping = aes(x = Menopause_status)) +
labs(title="Distribution of Menopause Status in Sample", x="Status", y="Number of Subjects")
Correlation Matrix of Mindsets and Outcomes in ALL Women
all_mindset_outcome_corr2 <- cor(all_mindset2, outcomes2)
corrplot(all_mindset_outcome_corr2, title="Correlation Matrix of Mindsets and Outcomes in All Women", method="color", type="full", addCoef.col="black", addgrid.col="black", tl.srt=45, tl.col="midnightblue", bg="gray94", col = colorRampPalette(c("blue4", "white", "red3"))(100))
Correlation Matrix of Mindsets and Treatment Willingness and Confidence in Menopausal Women
all_mindset_outcome_corr3 <- cor(all_mindset2, outcomes3)
corrplot(all_mindset_outcome_corr3, title="Correlation Matrix of Mindsets and Outcomes in All Women", method="color", type="full", addCoef.col="black", addgrid.col="black", tl.srt=45, tl.col="midnightblue", bg="gray94", col = colorRampPalette(c("blue4", "white", "red3"))(100))
Correlations in the total population are relatively weak. This fits with the pattern of results we have been seeing in looking at mixed health samples. Below, we look at the same correlations in women who are currently experiencing menopause symptoms
Correlation Matrix of Mindsets and Outcomes in Menopausal Women
mindset_outcome_corr2 <- cor(mmindset, moutcomes2)
corrplot(mindset_outcome_corr2, title="Correlation Matrix of Mindsets and Outcomes in Menopausal Women", method="color", type="full", addCoef.col="black", addgrid.col="black", tl.srt=45, tl.col="midnightblue", bg="gray94", col = colorRampPalette(c("blue4", "white", "red3"))(100))
Correlation Matrix of Mindsets and Treatment Willingness and Confidence in Menopausal Women
mindset_outcome_corr3 <- cor(mmindset, moutcomes3)
corrplot(mindset_outcome_corr3, title="Correlation Matrix of Mindsets and Outcomes in Menopausal Women", method="color", type="full", addCoef.col="black", addgrid.col="black", tl.srt=45, tl.col="midnightblue", bg="gray94", col = colorRampPalette(c("blue4", "white", "red3"))(100))
Again we are seeing the same pattern of results - the mindsets are more strongly correlated with outcomes in the sample for which the mindset is most relevant. In this case, women who are currently experiencing menopause symptoms.
Some interesting findings:
First, we need to create summary scores for some of the outcomes of interest. To do this we will calculate a summary score for health, consisting of three questions assessing general health, health compared to 1 year previously, and health compared to others. The alpha score for this composite is 0.78 suggesting a composite score is appropriate for these three questions.
We will do the same for the questions measuring positive affect and negative affect from the PANAS.
Next, we want to create composite scores for the three broad interventions: Hormone Replacement Therapy (HRT), Behavioral Interventions (Diet & Exercise), and Alternative Medicine Approaches (Herbal Treatments, Acupuncture, & Meditation). For each of these three interventions, we will create a ‘willingness to use’ and a ‘confidence’ composite.
Next, we can run a series of regression models. These models will first look at whether or not menopause status predicts the outcome of interest. They will then add in the key mindsets to see if the mindsets improve the predictive ability of the model.
Overall Health
sjt.lm(mod1, mod2, mod3, group.pred=FALSE, p.numeric = TRUE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| health_composite | health_composite | health_composite | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 3.66 | <.001 | 2.87 | <.001 | 2.70 | <.001 | |||
| status_yn | -0.10 | .440 | -0.07 | .559 | -0.10 | .433 | |||
| capability | 0.19 | .007 | |||||||
| manageability | 0.24 | <.001 | |||||||
| Observations | 264 | 264 | 264 | ||||||
| R2 / adj. R2 | .002 / -.002 | .030 / .023 | .052 / .045 | ||||||
Looking across the total sample, we created a series of step wise regression models. Model 1, a limited model looking at whether menopause status (Yes = menopausal symptoms; No = pre or post menopausal) predicts a composite score measuring self-reported general health. We found that menopause status (whether or not a subject is currently experiencing menopause symptoms) is not predictive of general health.
Both the Mindset that the Body is Capable and that Menopause is Manageable are included, separately, in Models 2 & 3. Both mindsets are significantly related to overall health, above and beyond menopause status.
Overall Health (including Age as a covariate)
sjt.lm(moda, modb, modc, group.pred=FALSE, p.numeric = TRUE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| health_composite | health_composite | health_composite | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 3.29 | <.001 | 2.26 | <.001 | 2.45 | <.001 | |||
| Age | 0.01 | .005 | 0.01 | <.001 | 0.01 | .013 | |||
| status_yn | -0.14 | .260 | -0.12 | .328 | -0.13 | .272 | |||
| capability | 0.24 | <.001 | |||||||
| manageability | 0.22 | <.001 | |||||||
| Observations | 264 | 264 | 264 | ||||||
| R2 / adj. R2 | .032 / .024 | .072 / .061 | .074 / .064 | ||||||
Because both menopause status and overall health are related to age, we modified the step wise regression models above by adding in Age as a co-variate.
Age is significantly related to the health composite score, a measurement of overall health (Model 1)
When Body Capability and Menopause Manageability are included in separate step wise regression models (Models 2 and 3), both are significantly related to overall health, above and beyond either Age (which remains significant), and menopause status (which remains insignificant)
Positive Affect
sjt.lm(mod1b, mod2b, mod3b, mod4b, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| pos_affect | pos_affect | pos_affect | pos_affect | |||||||||
| B | p | B | p | B | p | B | p | |||||
| (Intercept) | 2.59 | <.001 | 2.31 | <.001 | 1.77 | <.001 | 1.51 | <.001 | ||||
| status_yn | -0.12 | .430 | -0.15 | .319 | -0.10 | .529 | -0.12 | .424 | ||||
| Age | 0.01 | .093 | ||||||||||
| capability | 0.20 | .023 | ||||||||||
| manageability | 0.26 | <.001 | ||||||||||
| Observations | 264 | 264 | 264 | 264 | ||||||||
| R2 / adj. R2 | .002 / -.001 | .013 / .006 | .022 / .015 | .044 / .036 | ||||||||
Neither menopause status nor age have a significant relationship with positive affect (Mod 1 & 2).
However, Capability of the body is significantly positively related to positive affect (Mod 3). Manageability is significantly positively related to positive affect (Mod 4).
Negative Affect
sjt.lm(mod1c, mod2c, mod3c, mod4c, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| neg_affect | neg_affect | neg_affect | neg_affect | |||||||||
| B | p | B | p | B | p | B | p | |||||
| (Intercept) | 1.92 | <.001 | 2.24 | <.001 | 4.00 | <.001 | 4.17 | <.001 | ||||
| status_yn | 0.18 | .216 | 0.21 | .132 | 0.18 | .188 | 0.20 | .122 | ||||
| Age | -0.01 | .031 | -0.01 | .002 | -0.00 | .109 | ||||||
| capability | -0.40 | <.001 | ||||||||||
| manageability | -0.50 | <.001 | ||||||||||
| Observations | 264 | 264 | 264 | 264 | ||||||||
| R2 / adj. R2 | .006 / .002 | .024 / .016 | .113 / .103 | .196 / .186 | ||||||||
Menopause status is unrelated to negative affect (Mod 1), however younger age is significantly related to negative affect (Mod 2). Keeping age as a co-variate, capability of the body (Mod 3) and manageability of menopause (Mod 4) are both significantly negatively predictive of negative affect.
Confidence in HRT
sjt.lm(mod1d, mod2d, mod3d, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| confidence_hrt | confidence_hrt | confidence_hrt | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 3.17 | <.001 | 2.75 | <.001 | 2.41 | <.001 | |||
| status_yn | 0.27 | .187 | 0.30 | .154 | 0.26 | .198 | |||
| capability | 0.10 | .541 | |||||||
| manageability | 0.19 | .214 | |||||||
| Observations | 98 | 98 | 98 | ||||||
| R2 / adj. R2 | .018 / .008 | .022 / .001 | .034 / .014 | ||||||
Neither menopause status (Mod 1), Capability of the Body (Mod 2), nor Manageability of Menopause (Mod 3) were significantly related to confidence in hormone replacement therapy (HRT).
Willingness to use HRT
sjt.lm(mod1d2, mod2d2, mod3d2, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| willing_hrt | willing_hrt | willing_hrt | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 2.92 | <.001 | 5.38 | <.001 | 3.36 | <.001 | |||
| status_yn | -0.01 | .971 | -0.19 | .487 | -0.01 | .983 | |||
| capability | -0.60 | .009 | |||||||
| manageability | -0.11 | .605 | |||||||
| Observations | 98 | 98 | 98 | ||||||
| R2 / adj. R2 | .000 / -.010 | .070 / .050 | .003 / -.018 | ||||||
Menopause status is not significantly related to willingness to use hormone replacement therapy (HRT). However, Capability of the Body is a significant negative predictor of willingness to use HRT (Mod 2). Manageability of Menopause is not a significant predictor of willingness to use HRT (Mod 3).
Confidence in Behavioral Interventions
sjt.lm(mod1e, mod2e, mod3e, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| confidence_behavior | confidence_behavior | confidence_behavior | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 3.51 | <.001 | 1.86 | .004 | 2.89 | <.001 | |||
| status_yn | -0.01 | .967 | 0.12 | .546 | -0.01 | .943 | |||
| capability | 0.40 | .010 | |||||||
| manageability | 0.16 | .285 | |||||||
| Observations | 98 | 98 | 98 | ||||||
| R2 / adj. R2 | .000 / -.010 | .067 / .047 | .012 / -.009 | ||||||
Menopause status is not significantly related to confidence in behavioral interventions for menopause symptoms (Exercise & Diet). Capability of the Body is a significant positive predictor of confidence in behavioral interventions (Mod 2). Manageability of Menopause, however, is not significantly related to confidence in behavioral interventions (Mod 3).
Willingness to use Behavioral Interventions
sjt.lm(mod1e2, mod2e2, mod3e2, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| willing_behavior | willing_behavior | willing_behavior | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 4.20 | <.001 | 3.52 | <.001 | 3.55 | <.001 | |||
| status_yn | -0.14 | .441 | -0.09 | .636 | -0.14 | .420 | |||
| capability | 0.16 | .267 | |||||||
| manageability | 0.16 | .229 | |||||||
| Observations | 98 | 98 | 98 | ||||||
| R2 / adj. R2 | .006 / -.004 | .019 / -.002 | .021 / .001 | ||||||
Neither menopause status (Mod 1), Capability of the Body (Mod 2), nor Manageability of Menopause (Mod 3) are significantly related to willingness to try behavioral interventions for menopause symptoms.
Confidence in Alternative Medicine
sjt.lm(mod1f, mod2f, mod3f, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| confidence_altmed | confidence_altmed | confidence_altmed | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 2.78 | <.001 | 3.02 | <.001 | 3.31 | <.001 | |||
| status_yn | 0.26 | .136 | 0.24 | .180 | 0.26 | .129 | |||
| capability | -0.06 | .681 | |||||||
| manageability | -0.13 | .312 | |||||||
| Observations | 98 | 98 | 98 | ||||||
| R2 / adj. R2 | .023 / .013 | .025 / .004 | .034 / .013 | ||||||
Neither menopause status (Mod 1), Capability of the Body (Mod 2), nor Manageability of Menopause (Mod 3) are significantly related to confidence in the efficacy of alternative medicine (herbal treatments, acupuncture, and meditation) for menopause symptoms.
Willingness to try Alternative Medicine
sjt.lm(mod1f2, mod2f2, mod3f2, group.pred=FALSE, emph.p = TRUE, sep.column = TRUE, show.ci=FALSE)
| willing_altmed | willing_altmed | willing_altmed | |||||||
| B | p | B | p | B | p | ||||
| (Intercept) | 3.19 | <.001 | 3.40 | <.001 | 3.39 | <.001 | |||
| status_yn | 0.15 | .471 | 0.13 | .536 | 0.15 | .467 | |||
| capability | -0.05 | .754 | |||||||
| manageability | -0.05 | .742 | |||||||
| Observations | 98 | 98 | 98 | ||||||
| R2 / adj. R2 | .005 / -.005 | .006 / -.014 | .007 / -.014 | ||||||
Neither menopause status (Mod 1), Capability of the Body (Mod 2), nor Manageability of Menopause (Mod 3) are significantly related to willingness to try alternative medicine (herbal treatments, acupuncture, and meditation) for menopause symptoms.
Mindsets about menopause and mindsets about the body are related to important health outcomes in women.
Whether or not a woman is experiencing menopause symptoms seems to be unrelated to self-reported health (B=-0.14; p=0.026), whereas age is significantly related to self-reported health (B=0.01; p=0.005).
Controlling for age and menopause status, holding the mindset that menopause is manageable (B=0.22; p<0.001) and that the body is capable (B=0.24; p<0.001) significantly relate to greater self reported health, as measured by a composite of three health status questions.
These two mindsets are positively related to positive affect, and negatively related with negative affect. Holding the mindset that menopause is manageable (B=0.26; p<0.001) or the mindset that the body is capable (B=0.20; p<0.05) are both predictive of higher positive affect. Similarly, the mindset that menopause is manageable (B=-0.50; p<0.001) and that the body is capable (B=-0.40; p<0.001) are both negatively related to negative affect. These relationships existed when both age and menopause status were controlled for.
Mindsets were also related to certain treatment preferences. Capability of the Body was found to be a significant negative predictor of willingness to use hormone replacement therapy (HRT) (B=-0.60; p<0.01), and a significant positive predictor of confidence in behavioral interventions (i.e., exercise and diet), for menopause symptoms (B=0.40; p<0.05).
Mindsets may be important targets for interventions for women experiencing menopause symptoms, and may be related to certain psychological characteristics and treatment preferences. Women who hold the mindset that menopause is manageable and the body is capable have better self reported health. While this is the first time these mindsets have been studied in menopausal women, similar results have been found in patients with chronic illnesses like cancer, cardiovascular disease, diabetes, and chronic pain (Zion, Dweck, & Crum, 2017). It also appears that adaptive mindsets about menopause and the body are related to higher levels of positive affect and lower levels of negative affect, however the causality of this relationship remains uncertain. Finally, mindsets about the body may be an important psychological variable for understanding treatment preferences for managing symptoms of menopause. Women who endorsed the mindset that their body’s are capable show less willingness to use hormone replacement therapy and have higher confidence in behavioral interventions like exercise and diet for managing menopause symptoms.