Gender-Specific Insights into Depression in Patients with Ischemic Heart Disease: Findings from a Pilot Study Using a Self-Developed Questionnaire
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Study Population
2.3. Depression Diagnosis
2.4. Data Collection Instruments
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- Demographic and clinical data: This section gathered personal and medical data, including gender, age, marital status, social status, environment of origin, type of diagnosed IHD, and associated risk factors such as inflammation markers, hypertension, hypercholesterolemia, hypertriglyceridemia, genetic factors, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) cholesterol levels.
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- Hypertension: Diagnosed as an office systolic blood pressure (BP) of ≥140 mmHg or diastolic BP of ≥90 mmHg [23].
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- Hypercholesterolemia: Total cholesterol levels of >200 mg/dL. LDL cholesterol is the primary target for cardiovascular risk reduction, with recommended LDL targets based on cardiovascular risk, including <116 mg/dL for low-risk individuals, <100 mg/dL for moderate-risk individuals, <70 mg/dL for high-risk individuals, and <55 mg/dL for very high-risk individuals. For HDL cholesterol, normal levels are considered as >0 mg/dL for men and >50 mg/dL for women, as higher levels of HDL cholesterol are protective against cardiovascular diseases [24].
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- Genetic Factors: Family history of cardiovascular diseases, particularly IHD [26].
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- Psychological/psychiatric and physical condition: This section included 11 questions assessing the patient’s current mental and physical state, rated from 0 to 3 points, where 0 indicates the absence of symptoms and 3 indicates severe symptoms. The total possible score ranged from 0 to 33, with higher scores indicating greater severity of depressive symptoms. The scoring breakdown for depression grading is according to Table 2.
2.5. Reliability Testing
2.6. Ethical Considerations
2.7. Statistical Analysis
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- Chi-square analysis: employed to evaluate associations between categorical variables, such as gender differences in demographic, clinical, and psychological characteristics, with statistical significance being set at p < 0.05.
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- Binomial test: to evaluate whether the proportion of responses for certain variables deviated significantly from a hypothetical proportion (e.g., <0.5), particularly for imbalanced categorical data related to psychological and psychiatric symptoms.
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- Multinomial: applied to evaluate probabilities across multiple categories, particularly when analyzing demographic and clinical variables across gender groups.
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- Scale reliability statistics: Cronbach’s alpha was calculated to assess the internal consistency of the DA-IHDQ questionnaire, with a threshold of ≥0.7 being considered acceptable reliability.
2.8. Hypotheses of the Study
- Demographic differences: there are significant demographic differences between male and female patients diagnosed with IHD, including age, marital status, and social status.
- Clinical presentation: male patients with ischemic heart disease are more likely to present with acute myocardial infarction (AMI), while female patients are more likely to suffer from stable or unstable angina.
- Psychological impact: female patients with IHD report higher levels of emotional distress, including greater sadness and hopelessness, compared with male patients.
- Depression severity: the severity of depression is significantly higher in female patients than in male patients.
- Social isolation: female patients diagnosed with IHD experience higher levels of social isolation and withdrawal compared with male patients.
- Work performance: both male and female patients report a decline in work performance following their diagnosis of IHD, but the decline is more pronounced in female patients.
- Interest in psychological and psychiatric support: a higher proportion of female patients express a desire for psychological or psychiatric assistance compared with male patients following their diagnosis of IHD.
- Correlation of depression and physical symptoms: there are a significant correlation between the severity of depressive symptoms and the reporting of physical symptoms in both male and female patients with IHD.
- Inflammatory effects: elevated inflammation levels in patients with IHD are associated with higher rates of depression and anxiety, negatively impacting their mental health and overall well-being.
3. Results
3.1. Assessment of Patient Personal and Medical Data
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- Age
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- Female (χ2 = 33.429, df = 2, p < 0.001): there is a statistically significant association between age and female gender; the p-value of <0.001 indicates that the age distribution is significantly different in females.
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- Male (χ2 = 7.364, df = 1, p < 0.001): similarly, age is significantly associated with male gender, suggesting a different age distribution in this group as well.
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- Social Status
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- Female (χ2 = 32.310, df = 4, p < 0.001): there is a significant association between social status and gender among female patients, implying that social status varies significantly in this group.
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- Male (χ2 = 79.939, df = 4, p < 0.001): the social status distribution is also significantly different among male patients, with a highly significant p-value.
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- Marital Status
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- Female (χ2 = 15.643, df = 2, p < 0.001): marital status is significantly associated with gender, indicating differences in marital status distribution among females.
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- Male (χ2 = 110.899, df = 3, p < 0.001): marital status shows a strong association with gender in males, reflected by the highly significant p-value.
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- Type of IHD
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- Female (χ2 = 26.762, df = 3, p < 0.001): there is a significant association between the type of IHD and female gender.
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- Male (χ2 = 45.283, df = 3, p < 0.001): for males, the type of IHD is also significantly associated with gender, showing significant differences in the types of IHD diagnosed among male patients.
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- IHD Onset:
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- Female (χ2 = 62.152, df = 5, p < 0.001): In females, a significant association is observed between IHD onset and gender, indicating different patterns of IHD onset in women.
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- Male (χ2 = 2.548, df = 4, p = 0.636): However, there is no significant association between IHD onset and gender among male patients (p = 0.636), suggesting that the onset of IHD does not vary significantly in this group.
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- Age Distribution
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- Female: The largest proportion of female subjects (54.8%) is in the 60–79 age range, followed by 40–59 years (40.5%), and a minority (4.7%) being in the 80–89 age range.
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- Male: Most male individuals (63.6%) are younger, in the 40–59 age range; there are fewer individuals in the group of 60–79 years (36.4%), and no males were in the age group of 80–89 years. This suggests that male subjects tend to be younger than female subjects in this cohort.
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- Marital Status
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- Female: The majority of female patients (53.6%) are married, with 25% being widowed and 21.4% being divorced. There are no single female subjects.
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- Male: Similarly, most male patients (69.7%) are married, but unlike females, there are some single males (8.1%). A smaller percentage of males are divorced (19.2%) or widowed (3%). As a result, females have a higher proportion of widows, while males have more singles, suggesting different marital status distributions by gender.
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- Social Status
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- Female: The largest group of females (44%) is in the age pension category. Other notable categories include disability pension (17.9%), employed (16.7%), handicap pension (11.9%), and unemployed (9.5%).
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- Male: In contrast, the majority of male patients (55.6%) fall into the employed category. The distribution across other statuses includes age pension (13.1%), disability pension (13.1%), unemployed (12.1%), and handicap pension (6.1%). Males are more likely to be employed, while females are more represented in the age pension.
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- Type of IHD
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- Female: The most common types of IHD among female patients are stable and unstable angina pectoris, both at 36.9%. AMI occurs in 23.8% of females, while silent myocardial infarction occurs in 2.4%.
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- Male: In contrast, the majority of male patients (52.5%) experienced AMI. Other diagnoses include unstable angina pectoris (23.2%), stable angina pectoris (17.2%), and silent myocardial ischemia (7.1%). This suggests that males are more likely to suffer from AMI compared with females, who are more likely to suffer from angina.
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- IHD Onset
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- Female: IHD onset in females is relatively evenly distributed across different time intervals. Specifically, 26.2% of females have had IHD for 1–3 months, 20% for over 3 years, 19.1% for 6–12 months and 1–3 years, and 15.5% for 3–6 months. Notably, none of the females have had IHD for less than one month.
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- Male: In contrast, males tend to have a shorter disease history. Notably, 41.4% of males have had IHD for 3–6 months, 23.2% for 1–3 months, and 19.2% for 6–12 months. Only 6.1% have had IHD for over 1–3 years or more than 3 years. This indicates that males are more likely to have recent-onset IHD, while females show a more chronic history of the disease lasting over a longer period of time.
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- Female: Among the female subjects, the majority (51 subjects, or 60.7%) live in urban areas, while 33 subjects (39.3%) live in rural settings.
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- Male: For the male individuals, 51 subjects (51.5%) reside in urban settings, while 48 subjects (48.5%) live in rural areas.
3.2. Gender-Based Analysis of Risk Factors
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- Hypertension
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- Female: Among female subjects, 90.5% suffer from hypertension. The p-value (<0.001) indicates a significant difference in hypertension prevalence among females.
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- Male: In the male group, 96% report having hypertension. The significant p-value (<0.001) suggests a strong association between male gender and hypertension prevalence.
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- Smoking
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- Female: Among the female individuals, 46.4% were smokers. The p-value of 0.586 indicates no significant difference in smoking prevalence among female patients.
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- Male: In contrast, the majority of male subjects (84.8%) are smokers. The significant p-value (<0.001) highlights a strong association between male gender and smoking status.
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- Alcohol Abuse
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- Female: The majority of female patients (96.4%) reported no alcohol abuse (p < 0.001).
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- Male: In males, 58.6% report alcohol abuse, although this difference did not reach statistical significance (p = 0.107).
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- Obesity
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- Female: The majority of female patients (76.2%) were classified as obese, with a significant difference (p < 0.001).
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- Male: In contrast, in males, a percentage of 53.5% were obese, with no significant difference (p = 0.547).
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- Hypercholesterolemia
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- Female: A significant proportion of female subjects (90.5%) had hypercholesterolemia. The p-value (<0.001) indicates a significant difference in hypercholesterolemia prevalence.
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- Male: Among males, 58.6% reported hypercholesterolemia. The p-value of 0.107 suggests that the difference in the prevalence of hypercholesterolemia among men is not statistically significant.
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- Hypertriglyceridemia
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- Female: Majority of females (85.7%) suffered from hypertriglyceridemia. The p-value (<0.001) indicates a significant difference in hypertriglyceridemia rates among females.
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- Male: For males, 53.5% have hypertriglyceridemia. The p-value of 0.547 shows no significant difference in hypertriglyceridemia rates among males.
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- Inflammation
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- Female: In female subjects, 72.6% exhibited signs of inflammation. The p-value (<0.001) indicates a significant prevalence of inflammation among females.
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- Male: Among males, a significantly high proportion (72.7%) show signs of inflammation. The p-value (<0.001) suggests that inflammation is a critical risk factor.
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- Tachycardia
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- Female: Tachycardia is present in 60.7% of females. The p-value of 0.063 indicates that the difference was not statistically significant.
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- Male: In males, tachycardia occurs in 54.5%. The p-value (0.422) suggests no significant difference in tachycardia prevalence among males.
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- Genetic Factors
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- Female: Genetic factors are present in 70.2% of females. The p-value (<0.001) indicates a significant association with gender.
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- Male: Among males, 57.6% reported genetic factors. The p-value of 0.159 suggests no significant difference in genetic factors among males.
3.3. Gender-Based Differences in Emotional, Social, and Behavioral Responses to IHD
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- Emotional response to diagnosis (Q1)
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- Female: The majority of females (66.6%) report feeling deep sadness that they cannot seem to overcome, while 27.4% feel overwhelmed by sadness. Only 1.2% feel good about managing their condition.
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- Male: Similarly, most male subjects (44.5%) feel overwhelmed by sadness, but a slightly lower proportion (42.4%) report deep sadness compared with females. A minority (3%) feel comfortable about managing their condition. Both genders express significant emotional distress following diagnosis, but females report a slightly higher prevalence of deep sadness compared with males.
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- Changes in frustration or anger (Q2)
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- Female: More than half of female subjects (57.1%) notice that they become frustrated more easily, while 42.9% feel anger quickly rises in response to small triggers. No females report feeling angry all the time.
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- Male: Males show similar levels of frustration (49.5%) and anger (39.4%). However, 8.1% of males feel angry all the time about their health problems. Both genders experience increased frustration and anger, but males are more likely to report persistent anger.
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- Communication ability (Q3)
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- Female: Many females (39.3%) report feeling indifferent to social interactions, while 28.6% prefer solitude. Only 3.5% feel their communication abilities remain unchanged.
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- Male: Almost half of male patients (49.5%) find it more difficult to express their emotions, and a similar proportion (26.2%) prefer solitude. More males (6.1%) report unchanged communication ability compared with females. Both genders experience challenges in communication post-diagnosis, with a higher percentage of males reporting difficulty expressing emotions.
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- Work performance and motivation (Q4)
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- Female: Most females (64.3%) feel unable to perform work responsibilities, with only 14.3% exerting extra effort. Only 1.2% maintain consistent work performance.
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- Male: Similarly, 60.6% of males report being unable to perform work responsibilities, with 19.2% needing extra effort. Both genders face significant declines in work performance and motivation post-diagnosis, with slightly more males needing extra effort to maintain work responsibilities.
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- Future outlook (Q5)
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- Female: The majority of females (57.1%) feel hopeless about their future health, with only 3.6% maintaining optimism.
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- Male: Male subjects also report a high level of hopelessness (38.4%), but more males (5%) express optimism about their future compared with females. Females exhibit higher levels of hopelessness about their future health compared with males, although both genders display significant pessimism.
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- Self-harm and suicidal thoughts (Q6)
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- Female: While 33.3% of females have never thought about self-harm, 44% occasionally think about it, and 17.9% would consider ending their life.
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- Male: A slightly higher proportion of males (44.4%) have never considered self-harm, while 39.4% occasionally think about it. Fewer males (10.1%) would consider ending their life. Females report a higher prevalence of suicidal thoughts compared with males.
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- Sleep quality (Q7)
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- Female: More than half of females (57.1%) often wake up early and cannot return to sleep, and only 2.4% report sleeping as well as before their diagnosis.
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- Male: Similarly, 34.4% of males report waking up early, while 32.3% have trouble sleeping. Only 3% report no change in sleep quality. Both genders experience significant sleep disturbances, with females reporting more frequent difficulty in returning to sleep.
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- Energy levels and fatigue (Q8)
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- Female: Most females (67.8%) feel so exhausted that they struggle to do anything, while only 2.4% feel as energetic as before.
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- Male: A lower proportion of males (46.5%) report extreme exhaustion, with 38.4% getting tired easily. Females report more fatigue compared with males, though both genders experience a decline in energy levels.
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- Appetite changes (Q9)
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- Female: More than half (52.3%) of females report having little or no appetite, with only 3.6% maintaining the same appetite as before.
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- Male: A smaller percentage (28.3%) of males report a lack of appetite, and 9.1% experience no change in appetite. Females experience more pronounced appetite loss compared with males post-diagnosis.
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- Health concerns (Q10)
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- Female: A large proportion of females (70.2%) are consumed by worry about their health, while 7.1% report no concerns.
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- Male: Fewer males (46.5%) are consumed by health worries, and 5% report no concerns. Females show higher levels of anxiety and concern regarding their health compared with males.
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- Interest in romantic relationships (Q11)
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- Female: The majority of females (64.3%) have completely lost interest in romantic connections, with only 3.6% maintaining the same interest as before.
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- Male: Fewer males (30.3%) report a complete loss of interest, while 11.1% feel their romantic interests remain unchanged. Females report a greater loss of interest in romantic relationships compared with males.
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- Significant findings (p < 0.05)
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- Q1 (emotional reactions to IHD diagnosis): significant gender differences in emotional responses (p = 0.012), with males and females expressing sadness differently.
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- Q2 (frustration or anger): gender differences in frustration or anger (p = 0.019), suggesting varying emotional responses.
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- Q3 (changes in communication): significant differences in communication patterns (p = 0.005), with varying difficulties in social interactions by gender.
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- Q7 (sleep quality): significant gender differences in sleep disturbances (p = 0.015), with one gender experiencing more severe disruptions.
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- Q8 (fatigue and energy levels): gender differences in fatigue and energy (p = 0.005), indicating distinct physical impacts of IHD.
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- Q9 (changes in appetite): significant gender differences in appetite changes (p = 0.003).
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- Q10 (concerns about health and its impact): significant differences in concerns about health and its effects on life (p = 0.002).
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- Q11 (interest in romantic relationships or intimacy): highly significant gender differences in interest in relationships (p < 0.001).
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- Non-significant findings (p ≥ 0.05)
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- Q4 (work performance and motivation): no significant gender differences in work performance (p = 0.853), indicating similar effects on professional life.
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- Q5 (perspectives on the future): no significant gender differences in future perspectives (p = 0.084).
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- Q6 (consideration of self-harm or suicide): no significant gender differences in considerations of self-harm (p = 0.283).
3.4. Scale and Item-Level Reliability Analysis
3.5. Assessing the Willingness for Psychological or Psychiatric Support Among IHD Patients
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- Female: Of 84 female subjects, 75 (89.3%) expressed willingness to receive emotional support. This high level of willingness indicates that the majority of female patients are open to seeking psychological/psychiatric support services to cope with IHD.
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- Male: In contrast, 79 (79.8%) out of 99 male patients expressed willingness to receive emotional support. This finding reveals that a notable majority of male patients also are open to seek psychological/psychiatric support, although it is a lower percentage compared with their female counterparts.
3.6. Distribution of Depression Grades in the Patient Population
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- Female: Among the female, a small number of subjects (3 or 3.6%) are in remission (N), while 11 (13.1%) individuals experience mild depression (Mi). A larger group of 21 (25.0%) individuals are classified as moderately depressed (Mo), but the majority (49, or 58.3% subjects) of individuals are experiencing severe depression (S).
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- Male: Among males, 4 (4%) subjects are in remission (N) and 27 (27.3%) have mild depression (Mi). A larger number of 35 (35.4%) individuals are classified as moderately depressed (Mo), while 33 (33.3%) subjects experience severe depression (S). Compared with females, a greater proportion of males exhibit mild to moderate depression, though the prevalence of severe depression remains high in both genders.
4. Discussion
4.1. Demographic and Clinical Characteristics
4.2. Psychological and Behavioral Impact
4.3. Social Functioning and Communication
4.4. Work Performance and Motivation
4.5. Health Concerns, Appetite, and Sleep
4.6. Inflammation Effects
4.7. Gender-Specific Interventions and Future Directions
4.8. Practical Applications in the Field
- Tailored mental health interventions: The higher prevalence of severe depression and hopelessness among female patients underscores the need for gender-sensitive mental health interventions in the context of IHD. Healthcare providers should prioritize integrating psychiatric care, such as counseling or cognitive behavioral therapy, into routine cardiac care, especially for female patients who face greater emotional challenges.
- Comprehensive cardiac rehabilitation programs: This study highlights the importance of addressing psychological symptoms such as fatigue, frustration, and social withdrawal in cardiac rehabilitation. Programs should include elements such as stress management, support groups, and vocational rehabilitation to support the emotional, social, and occupational recovery of IHD patients.
- Gender-specific health policies: Policy makers and healthcare systems can leverage these findings to develop gender-specific health policies aimed at improving access to early diagnosis and treatment, particularly for women who may experience delayed care or chronic disease progression. This includes improving education about IHD symptoms that are more common in women, such as fatigue and stable angina.
- Integration of inflammation management: The role of chronic inflammation in exacerbating both depression and IHD suggests that anti-inflammatory therapies should be further explored and integrated into treatment plans. Addressing inflammation through dietary interventions, physical activity, or pharmacological approaches could enhance both physical and mental health outcomes.
- Training for healthcare providers: The insights from this study can be used to inform the training of healthcare professionals on the interplay between cardiovascular and psychological health, emphasizing the importance of a multidisciplinary approach. Cardiologists, psychiatrists, and social workers should work collaboratively to address the complex needs of these patients.
4.9. Research Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Inclusion Criteria | Exclusion Criteria |
---|---|
Adult patients (18 years or older) | Patients with a pre-existing diagnosis of severe psychiatric disorders |
Patients of both genders | Patients with severe cognitive impairment |
Patients admitted to Arad County Emergency Clinical Hospital, Romania, Psychiatry Department | Patients with severe comorbid medical conditions (other than IHD) |
Patients confirmed with IHD, depression | Patients with no evidence of diagnosis of IHD according to diagnostic guidelines |
Patients who provided informed consent to participate in the study | Patients who do not provide informed consent to participate |
Total Score | Depression Grade |
---|---|
0–8 | Normal |
9–16 | Mild |
17–24 | Moderate |
25–33 | Severe |
Female = 84 Patients | Male = 99 Patients | |||||
---|---|---|---|---|---|---|
Variable | χ2 | Degrees of Freedom | p | χ2 | Degrees of Freedom | p |
Age | 33.429 | 2 | <0.001 | 7.364 | 1 | <0.001 |
Social status | 32.310 | 4 | <0.001 | 79.939 | 4 | <0.001 |
Marital status | 15.643 | 2 | <0.001 | 110.899 | 3 | <0.001 |
Type of ischemic heart disease | 26.762 | 3 | <0.001 | 45.283 | 3 | <0.001 |
Ischemic heart disease onset | 62.152 | 5 | <0.001 | 2.548 | 4 | 0.636 |
Female = 84 Patients | Male = 99 Patients | ||
---|---|---|---|
Variable | Level | Counts | Counts |
Age | 40–59 | 34 (40.5%) | 63 (63.6%) |
60–79 | 46 (54.8%) | 36 (36.4%) | |
80–89 | 4 (4.7%) | 0 (0%) | |
Marital Status | Divorced | 18 (21.4%) | 19 (19.2%) |
Married | 45 (53.6%) | 69 (69.7%) | |
Single | 0 (0%) | 8 (8.1%) | |
Widowed | 21 (25%) | 3 (3%) | |
Social Status | Age pension | 37 (44%) | 13 (13.1%) |
Disability pension | 15 (17.9%) | 13 (13.1%) | |
Employed | 14 (16.7%) | 55 (55.6%) | |
Extra disability benefits | 10 (11.9%) | 6 (6.1%) | |
Unemployed | 8 (9.5%) | 12 (12.1%) | |
Type of ischemic heart disease | 20 (23.8%) | 52 (52.5%) | |
Stable angina pectoris | 31 (36.9%) | 17 (17.2%) | |
Silent myocardial infarction | 2 (2.4%) | 7 (7.1%) | |
Unstable angina pectoris | 31 (36.9%) | 23 (23.2%) | |
Ischemic heart disease onset | <1 month | 0 (0%) | 4 (4%) |
1–3 months | 22 (26.2%) | 23 (23.2%) | |
3–6 months | 13 (15.5%) | 41 (41.4%) | |
6–12 months | 16 (19.1%) | 19 (19.2%) | |
1–3 years | 16 (19.1%) | 6 (6.1%) | |
>3 years | 17 (20%) | 6 (6.1%) |
Female = 84 Patients | Male = 99 Patients | ||||
---|---|---|---|---|---|
Variable | Level | Counts | p | Counts | p |
Hypertension | No | 8 (9.5%) | <0.001 | 4 (4%) | <0.001 |
Yes | 76 (90.5%) | <0.001 | 95 (96%) | <0.001 | |
Smoking | No | 45 (53.6%) | 0.586 | 15 (15.2%) | <0.001 |
Yes | 39 (46.4%) | 0.586 | 84 (84.8%) | <0.001 | |
Alcohol abuse | No | 81 (96.4%) | <0.001 | 41 (41.4%) | 0.107 |
Yes | 3 (3.6%) | <0.001 | 58 (58.6%) | 0.107 | |
Obesity | No | 20 (23.8%) | <0.001 | 46 (46.5%) | 0.547 |
Yes | 64 (76.2%) | <0.001 | 53 (53.5%) | 0.547 | |
Hypercholesterolemia | No | 8 (9.5%) | <0.001 | 41 (41.4%) | 0.107 |
Yes | 76 (90.5%) | <0.001 | 58 (58.6%) | 0.107 | |
Hypertriglyceridemia | No | 12 (14.3%) | <0.001 | 46 (46.5%) | 0.547 |
Yes | 72 (85.7%) | <0.001 | 53 (53.5%) | 0.547 | |
Inflammation | No | 23 (27.4%) | <0.001 | 27 (27.3%) | <0.001 |
Yes | 61 (72.6%) | <0.001 | 72 (72.7%) | <0.001 | |
Tachycardia | No | 33 (39.3%) | 0.063 | 45 (45.5%) | 0.422 |
Yes | 51 (60.7%) | 0.063 | 54 (54.5%) | 0.422 | |
Genetic factors | No | 25 (29.8%) | <0.001 | 42 (42.4%) | 0.159 |
Yes | 59 (70.2%) | <0.001 | 57 (57.6%) | 0.159 |
Female 84 Patients | Male 99 Patients | ||
---|---|---|---|
Variable | Level | Counts | Counts |
Q1. How did you feel after being diagnosed with IHD? | 0. I feel good about managing my condition | 1 (1.2%) | 3 (3%) |
1. Sometimes I feel sad about my diagnosis | 4 (4.8%) | 10 (10.1%) | |
2. I often feel overwhelmed by sadness due to my heart condition | 23 (274%) | 44 (44.5%) | |
3. I feel a deep sadness that I can’t seem to overcome | 56 (66.6%) | 42 (42.4%) | |
Q2. Since your diagnosis, how has your frustration or anger changed? | 0. I am managing my emotions as I did before | 0 (0%) | 3 (3%) |
1. I have noticed that I get frustrated more easily than before | 48 (57.1%) | 49 (49.5%) | |
2. I feel anger rising quickly in response to small triggers | 36 (42.9%) | 39 (39.4%) | |
3. I feel angry all the time about my health problems | 0 (0%) | 8 (8.1%) | |
Q3. How has your ability to communicate with others changed since your diagnosis? | 0. I communicate as well as I did before my diagnosis | 3 (3.5%) | 6 (6.1%) |
1. I find it more difficult to express my feelings to others | 24 (28.6%) | 49 (49.5%) | |
2. I feel indifferent to social interactions now | 33 (39.3%) | 18 (18.2%) | |
3. I prefer solitude and avoid communication with others | 24 (28.6%) | 26 (26.2%) | |
Q4. Have you noticed any changes in your work performance or motivation? | 0. My work performance is consistent with pre-diagnosis levels | 1 (1.2%) | 1 (1%) |
1. I need to exert extra effort to perform my job | 12 (14.3%) | 19 (19.2%) | |
2. I struggle to motivate myself to work | 17 (20.2%) | 19 (19.2%) | |
3. I feel unable to perform my work responsibilities | 54 (64.3%) | 60 (60.6%) | |
Q5. How do you envision your future in light of your heart condition? | 0. I am optimistic about my future health and well-being | 3 (3.6%) | 5 (5%) |
1. It’s challenging for me to think positively about the future | 13 (15.5%) | 25 (25.3%) | |
2. I have low expectations regarding my health and future | 20 (23.8%) | 31 (31.3%) | |
3. I feel hopeless about what lies ahead due to my illness | 48 (57.1%) | 38 (38.4%) | |
Q6. Since your diagnosis, have you ever considered self-harm or suicide? | 0. I have never thought about harming myself | 28 (33.3%) | 44 (44.4%) |
1. I have occasionally thought about it | 37 (44%) | 39 (39.4%) | |
2. I find myself wishing to harm myself | 4 (4,8%) | 6 (6.1%) | |
3. If given the opportunity, I would consider ending my life | 15 (17.9%) | 10 (10.1%) | |
Q7. How would you describe your sleep quality since being diagnosed with IHD? | 0. I sleep as well as before my diagnosis | 2 (2.4%) | 3 (3%) |
1. I have trouble sleeping as I used to | 14 (16.7%) | 32 (32.3%) | |
2. I frequently wake up early and struggle to fall back asleep | 20 (23.8%) | 30 (30.3%) | |
3. I often wake up early and cannot return to sleep | 48 (57.1%) | 34 (34.4%) | |
Q8. Have you noticed changes in your energy levels or fatigue? | 0. I feel as energetic as I did before | 2 (2.4%) | 0 (0%) |
1. I notice I get tired more quickly than before | 10 (11.9%) | 15 (15.1%) | |
2. I feel tired even with minimal activity | 15 (17.9%) | 38 (38.4%) | |
3. I feel so exhausted that I struggle to do anything | 57 (67.8%) | 46 (46.5%) | |
Q9. Have you experienced changes in your appetite since your diagnosis? | 0. My appetite is the same as before | 3 (3.6%) | 9 (9.1%) |
1. My appetite has decreased somewhat | 13 (15.5%) | 31 (31.3%) | |
2. I eat less than I did before | 24 (28.6%) | 31 (31.3%) | |
3. I have little to no appetite | 44 (52.3%) | 28 (28.3%) | |
Q10. How concerned are you about your overall health and its impact on your life? | 0. I feel fine and have no worries | 6 (7.1%) | 5 (5%) |
1. I have some concerns about my condition | 3 (3.6%) | 16 (16.2%) | |
2. My health problems overwhelm my thoughts and feelings | 16 (19.1%) | 32 (32.3%) | |
3. I am too consumed by worry to focus on anything else | 59 (70.2%) | 46 (46.5%) | |
Q11. Have you noticed changes in your interest in romantic relationships or intimacy? | 0. My feelings toward romantic interests remain unchanged | 3 (3,6%) | 11 (11.1%) |
1. I feel less interested in romantic relationships than before | 10 (11.9%) | 27 (27.3%) | |
2. I have become significantly less interested in intimacy | 17 (20.2%) | 31 (31.3%) | |
3. I have completely lost interest in romantic connections | 54 (64.3%) | 30 (30.3%) |
Variable | Value | Degrees of Freedom | p |
---|---|---|---|
Q1. How did you feel after being diagnosed with IHD? | 10.998 | 3 | 0.012 |
Q2. Since your diagnosis, how has your frustration or anger changed? | 9.968 | 3 | 0.019 |
Q3. How has your ability to communicate with others changed since your diagnosis? | 12.911 | 3 | 0.005 |
Q4. Have you noticed any changes in your work performance or motivation? | 0.783 | 3 | 0.853 |
Q5. How do you envision your future in light of your heart condition? | 6.640 | 3 | 0.084 |
Q6. Since your diagnosis, have you ever considered self-harm or suicide? | 3.804 | 3 | 0.283 |
Q7. How would you describe your sleep quality since being diagnosed with IHD? | 10.475 | 3 | 0.015 |
Q8. Have you noticed changes in your energy levels or fatigue? | 13.014 | 3 | 0.005 |
Q9. Have you experienced changes in your appetite since your diagnosis? | 13.672 | 3 | 0.003 |
Q10. How concerned are you about your overall health and its impact on your life? | 14.798 | 3 | 0.002 |
Q11. Have you noticed changes in your interest in romantic relationships or intimacy? | 22.243 | 3 | <0.001 |
Total | 183 |
Estimate | Value |
---|---|
Point estimate | 0.915 |
95% confidence interval lower bound | 0.896 |
95% confidence interval upper bound | 0.931 |
Item | Value |
---|---|
Q1. How did you feel after being diagnosed with IHD? | 0.913 |
Q2. Since your diagnosis, how has your frustration or anger changed? | 0.916 |
Q3. How has your ability to communicate with others changed since your diagnosis? | 0.911 |
Q4. Have you noticed any changes in your work performance or motivation? | 0.905 |
Q5. How do you envision your future in light of your heart condition? | 0.898 |
Q6. Since your diagnosis, have you ever considered self-harm or suicide? | 0.910 |
Q7. How would you describe your sleep quality since being diagnosed with IHD? | 0.903 |
Q8. Have you noticed changes in your energy levels or fatigue? | 0.907 |
Q9. Have you experienced changes in your appetite since your diagnosis? | 0.914 |
Q10. How concerned are you about your overall health and its impact on your life? | 0.897 |
Q11. Have you noticed changes in your interest in romantic relationships or intimacy? | 0.901 |
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Bondar, L.I.; Osser, B.; Miuța, C.C.; Petran, D.; Baltean, A.I.; Butari, D.B.; Mariș, M.A.; Piroș, L.E.; Almășan, R.; Gavrila-Ardelean, M.; et al. Gender-Specific Insights into Depression in Patients with Ischemic Heart Disease: Findings from a Pilot Study Using a Self-Developed Questionnaire. Diseases 2024, 12, 320. https://doi.org/10.3390/diseases12120320
Bondar LI, Osser B, Miuța CC, Petran D, Baltean AI, Butari DB, Mariș MA, Piroș LE, Almășan R, Gavrila-Ardelean M, et al. Gender-Specific Insights into Depression in Patients with Ischemic Heart Disease: Findings from a Pilot Study Using a Self-Developed Questionnaire. Diseases. 2024; 12(12):320. https://doi.org/10.3390/diseases12120320
Chicago/Turabian StyleBondar, Laura Ioana, Brigitte Osser, Caius Calin Miuța, Denis Petran, Alexandru Ioan Baltean, Denis Bogdan Butari, Mariana Adelina Mariș, Ligia Elisaveta Piroș, Robert Almășan, Mihaela Gavrila-Ardelean, and et al. 2024. "Gender-Specific Insights into Depression in Patients with Ischemic Heart Disease: Findings from a Pilot Study Using a Self-Developed Questionnaire" Diseases 12, no. 12: 320. https://doi.org/10.3390/diseases12120320
APA StyleBondar, L. I., Osser, B., Miuța, C. C., Petran, D., Baltean, A. I., Butari, D. B., Mariș, M. A., Piroș, L. E., Almășan, R., Gavrila-Ardelean, M., Gavrila-Ardelean, L., & Popescu, M. I. (2024). Gender-Specific Insights into Depression in Patients with Ischemic Heart Disease: Findings from a Pilot Study Using a Self-Developed Questionnaire. Diseases, 12(12), 320. https://doi.org/10.3390/diseases12120320