Fig. 4.1
Conceptual framework linking physical and mental health
4.2.1 Disability
Disability is defined by the International Classification of Functioning, Disability and Health (ICIDH-2) as an umbrella term for “impairments, activity limitations or participation restrictions” [22]. Despite declining trends in chronic disability among US adults aged 65 and older, approximately one-fifth were disabled in 2005 [23]. The high prevalence of physical disability among older adults is mainly attributed to chronic diseases [24]. Depression and disability mutually reinforce the risk of each other, and adversely affect disease progression and prognosis [21, 25]. On the one hand, disability caused by medical conditions serves as a risk factor for depression [26]. When people lose their normal sensory, motor, cognitive, social, or executive functions, especially in a short period of time, they can become very frustrated or depressed. Inability to perform daily tasks as before decreases self-esteem, reduces independence, increases the level of psychological stress, and creates a sense of hopelessness. On the other hand, depression increases the risk for disability. Negative interpretation, attention bias, and learned hopelessness of depressed persons may increase risky health behaviors that exacerbate physical disorders or disability. Meanwhile, depression-related cognitive impairment also affects role performance and leads to functional disability [25]. For example, Egede [27] found in the 1999 National Health Interview Survey that the risk of having functional disability among patients with the comorbidity of diabetes and depression were approximately 2.5–5 times higher than those with either depression or diabetes alone.
4.2.2 Pain
A leading cause of disability among medical patients is pain and pain-related fears [28]. Pain is an unpleasant perception caused by diseases or injuries, which is particularly common among the elderly, especially institutionalized older adults [29]. The main medical reasons include back injury, arthritis, and cancer [30, 31]. Although a large proportion of pain complaints can be attributed to physiological changes from physical disorders, psychological factors (e.g., attention, interpretation, and coping skills) play an important role in perception of pain, as indicated in Fig. 4.1 [32]. Individuals with cognitive bias and poor coping strategies report more intense and persistent pain, as well as depressive symptoms [31, 33]. Bair et al. [31] indicated in a literature review that the prevalence of pain was higher among depressed patients than non-depressed patients, and the prevalence of major depression was also higher among pain patients comparing to those without pain complaints. The comorbidity of depression and pain may be explained by shared biological pathways [31]. Decreases in neurotransmitters among depressed patients (such as serotonin) amplify nociceptive signals and, therefore, increase the frequency and severity of pain symptoms [31]. Consistently, over half of the chief complaints from depression patients in primary care were somatic symptoms, mainly pain complaints, which impose difficulties for primary care physicians in recognizing mild or moderate depression and in preventing the occurrence of major depression [31].
4.2.3 Stress
While disability and pain are sources of stress, so is being diagnosed with a medical condition. Being diagnosed with diseases and undergoing treatments increase patients’ psychological stress, especially for those who do not have positive perceptions, effective coping strategies or adequate social support [34]. According to the diathesis stress model, major depression will occur once the magnitude of perceived stress increases to an extent at which one’s threshold for the disorder is reached [35]. Meanwhile, major depression is found to be associated with stress-induced activation of the inflammatory response (Fig. 4.1) that produces a series of physiological and psychological effects [36]. Immune activation releases cytokines (e.g., TNFα and IL-1β) in the brain that may mediate the link between medical conditions and depressive symptoms [36]. Hormonal response is another important stress-related biological pathway that links physical disorders and depression [37]. Maladaptation in stress response may cause the dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, characterized by elevated levels of cortisol and corticotropin-releasing hormone (CRH) [37]. Increased cortisol level is not only associated with stress and emotional disturbance but also is implicated in progression of a variety of medical conditions, such as cardiovascular disease, type 2 diabetes mellitus, ulcers, and loss of bone density [37, 38].
4.2.4 Risk Behaviors
Risk behaviors (e.g., smoking, alcohol and drug abuse, poor adherence to treatment, malnutrition, and physical inactivity) could be maladaptive coping responses to stress, or unhealthy lifestyles continued from earlier life stages. For example, physical inactivity, as a consequence of depression, is also associated with increased risk for coronary heart disease, diabetes, stroke, and cancer [39–42]. Mattson [43] indicated in a review that physical activity activates adaptive stress responses in neurons, produces protective factors such as brain-derived neurotrophic factor (BDNF) that increase the brain’s capacity to buffer stress, and therefore decreases the risk for depression as well as other brain disorders among older adults. Findings from the Alameda County Study also supported that physical activity was a protective factor for subsequent depression among adults aged 50 and over [44]. People who participated in physical activities were more likely to have less risky health behaviors, such as smoking and overdrinking [44]. Alcohol use has more serious adverse health effects on older adults than other age groups, since aging-related physiological changes (e.g. reduced liver detoxification and renal clearance) affect alcohol metabolism, increase the blood concentration of alcohol, and magnify negative consequences. More importantly, alcohol interacts with a variety of frequently prescribed medications potentially influencing both treatment and adverse effects.
4.2.5 Loneliness
Loneliness is the perceived isolation from one’s surrounding relationships. According to the Health and Retirement Study, approximately one-fifth of the US adults aged 65 and older experienced loneliness [45]. It is considered as an independent risk factor for depression [46, 47], and has been demonstrated to be associated with low physical activity, increased cardiovascular risks, hyperactivity of the hypothalamic-pituitary-adrenal axis, and activation of immune response [48–51]. Physical disorders and aging-related functional decline, such as hearing loss and vision impairments, limit individuals’ mobility and capability for social involvement to different extents. A cross-sectional study conducted in the Finnish older population indicated that poor health conditions and functioning impairments were associated with higher risk for loneliness, and medical illness was also reported as one of the most common causes of loneliness [52]. Older adults may view loneliness as an important factor in the expression of depression [53].
4.2.6 Hopelessness
Hopelessness is a key concept of major depression [54], and also an independent risk factor of suicidal ideation [55]. According to the hopelessness theory of depression, with the presence of negative life events (e.g., experiencing physical disorders), depression-prone individuals tend to process information with bias, attribute these events to global, constant, and internal causes, and make adverse inferences [56]. Hopelessness is also conceptualized as a distinct concept independent of depression, acting as a mediator of the association between physical disorders and depression [57]. Elevated hopelessness was found to be associated with the onset of myocardial infarction, cancer, and hypertension, and with mortality [58, 59]. More commonly, hopelessness can be a consequence of physical disorders among medical patients, especially those with terminal illness and life-threatening conditions [57]. Hopelessness reduces expectations for the future, and negatively affects judgment for making medical and behavioral decisions, including non-adherence to medical regimens or engaging in unhealthy behaviors.
4.2.7 Adverse Drug Effects
Due to age-related changes in pharmacokinetics and pharmacodynamics, older adults are a vulnerable population to iatrogenic diseases caused by adverse drug effects. Drugs for treating medical conditions could affect neurotransmitters in the brain through biological pathways, and also may have a psychological impact on patients by causing somatic symptoms [60]. Celano et al. [60] summarize major categories of medications that have the potential to induce depression among medically ill patients, including neurologic medications, cardiovascular medications, anti-infective agents, oncologic medications, and miscellaneous medications. Although cases of drug-induced depression were reported for a variety of drugs, few prospective studies with good internal validity were conducted to examine the true incidence [60]. Even so, physicians are recommended to evaluate medical patients’ risk for depression, avoid depressogenic drugs for patients with prior or current depression episodes, and monitor for drug-induced depression [60]. Similarly, antidepressants can also cause physical disorders among older adults, such as falls, hip fractures, weight gain, and obesity, which may in turn increase the severity of depressive symptoms [61–63]. Adverse drug events are frequently due to failure to adjust dosage or to account for drug–drug interactions in older adults [64].
4.3 Mortality and Depression
Co-occurring depression and medical conditions are associated with more functional impairment and mortality than expected from the severity of the medical condition alone. For example, depression accompanying diabetes confers increased functional impairment [27], complications of diabetes [65, 66], and mortality [67–71]. Frasure-Smith and colleagues highlighted the prognostic importance of depression among persons who had sustained a myocardial infarction (MI), finding that depression was a significant predictor of mortality at both 6 and 18 months post MI [72, 73]. Subsequent follow-up studies have borne out the increased risk conferred by depression on the mortality of patients with cardiovascular disease [10, 74, 75]. Over the course of a 2-year follow-up interval, depression contributed as much to mortality as did myocardial infarction or diabetes, with the population attributable fraction of mortality due to depression approximately 13 % (similar to the attributable risk associated with heart attack at 11 % and diabetes at 9 %) [76]. Investigators seeking to understand the biological mechanisms linking depression and medical conditions have focused on cardiovascular, immunologic, inflammatory, metabolic, and neuroendocrine pathways [77, 78].
Several intervention studies (i.e., among samples of older adults with depression) have examined mortality as an outcome [79–82]. In ENRICHD (Enhancing Recovery in Coronary Heart Disease) taking a selective serotonin reuptake inhibitor was associated with reduction in the risk of all-cause mortality [83], as was participation in group plus individual therapy [84] in secondary analyses that ignored randomization. SADHART (Sertraline Antidepressant Heart Attack Randomized Trial) reported a statistically non-significant beneficial trend on combined cardiovascular outcomes that included death at 24 weeks [82]. PROSPECT (Prevention of Suicide in Primary Care Elderly Collaborative Trial) reported diminished mortality after 8 years of follow-up among older persons in practices randomized to a depression care management program [79].
4.4 Evidence on Prevention of Depression in Medical Comorbidity
Universal, selective, and indicated prevention strategies apply to mental health [85, 86]. Universal prevention strategies are intended to reach the entire population, without regard to individual risk factors. For example, every person, without screening, in a community or practice might be provided with prevention skills. We do not consider universal prevention strategies here, since persons with medical conditions are de facto subgroups of the population at increased risk. Selective prevention strategies target subgroups of the general population that are determined to be at risk, for example, persons who have a medical condition. Indicated prevention interventions identify individuals who are experiencing depressive symptoms, but do not meet criteria for major depression. This potentially includes many persons who have medical conditions, since depressive symptoms are so common.
We carried out a literature review to identify prevention intervention trials with a focus on adults with medical comorbidity. Included randomized controlled trials of prevention recruited non-depressed patients with at least one physical disorder. We did not incorporate trials primarily directed at treatment of existing major depression (e.g., in the context of diabetes [87] or cardiovascular disease [80]), prevention of depression recurrence (e.g., in the context of diabetes [88, 89]), or reduction in depressive symptoms among both depressed and at-risk patients (e.g., in the context of cardiovascular disease [90] or cancer [91, 92]). Ideally, we would have required investigators to exclude persons who met criteria for major depression since persons who have major depression are no longer at risk. Rather than using diagnostic criteria, investigators may have excluded persons whose depression scores were above a threshold (e.g., using the Hamilton Depression Rating Scale [93, 94], the Hospital Anxiety and Depression Scale-depression subscale [95], or the Geriatric Depression Scale [96]. While it is true that persons whose scores were above a threshold would be more likely to meet criteria for major depression, persons below the threshold could still meet criteria for minor depression. The implication is that we would call a study “indicated” for persons with minor depression, but “selective” for persons who do not have depression. Investigators sometimes did not report the information required to make this distinction. So we decided to categorize interventions in the table based on our best justification for each individual study. We did not include studies specifically tied to the prevention of depression associated with the administration of alpha-interferon or similar substances. We summarize prevention trials meeting our inclusion criteria in Table 4.1 according to whether we categorized as indicated or selective prevention (we did not find any studies we would consider universal prevention in association with medical conditions).
Table 4.1
Indicated and selective prevention studies
Study | Sample | Intervention | Description | Setting | Findings | |
---|---|---|---|---|---|---|
Drug | Non-drug | |||||
Indicated prevention | ||||||
Disease not specified | ||||||
170 adults aged 75 and older with sub-threshold depression or anxiety | X | Intervention: a preventive stepped-care program Control: usual care | Primary care | At 12 months, the intervention group had 51 % lower risk of major depression or anxiety than in the control group (RR, 0.49; 95 % CI, 0.24–0.98). At 24 months, the odds of having major depression or anxiety in the intervention group was 62 % lower than in the control group (OR, 0.38; 95 % CI, 0.19–0.76) | ||
Ciechanowski et al. [98] | 138 chronically medically ill adults aged 60 and older with minor depression or dysthymia | X | Intervention: the PEARLS—“PST, social and physical activation, and potential recommendations to patients’ physicians regarding antidepressant medications” Control: usual care | Community | The odds of having 50 % or more reduction in depressive symptoms in the intervention group was 5.21 times higher than in the control group (OR, 5.21; 95 % CI, 2.01–13.49). The odds of achieving depression remission in the intervention group was 4.96 times higher than in the control group (OR, 4.96; 95 % CI, 1.79–13.72) | |
Williams et al. [99] | 415 primary care patients aged 60 and older with minor depression or dysthymia | X | X | Intervention: SSRI, paroxetine or PST-PC Control: placebo | Primary care | Among dysthymia patients, mental health functioning was improved by paroxetine for those with high or intermediate baseline functioning levels, but not significantly improved by PST-PC. Among minor depression patients, mental health functioning was improved by both paroxetine and PST-PC for those whose baseline functioning was in the lowest tertile |
Miranda and Munoz [100] | 150 medical patients aged between 18 and 69 with minor depression | X | Intervention: CBT Control: no-intervention or a 40-min videotape | Primary care | The intervention was effective in reducing depressive symptoms (F = 3.72; P = 0.01),somatic symptoms (F = 4.33; P = 0.005) and missed primary care appointments (F = 4.5; P = 0.05) | |
HIV/AIDS | ||||||
Rabkin et al. [101] | 145 HIV positive patients aged between 18 and 70 with persistent dysthymia or subsyndromal depression for at least 3 months | X | Intervention: DHEA Control: placebo | Hospital | DHEA was effective in reducing depressive symptoms in both intent-to-treat analysis and completer analysis, where the response rates were 56 % (DHEA group) versus 31 % (placebo group), and 62 % (DHEA group) and 33 % (placebo group) respectively. DHEA was safe and acceptable, demonstrated by low rates of adverse events and attrition | |
Selective prevention | ||||||
Stroke | ||||||
Tsai et al. [93] | 92 patients with first or recurrent ischemic stroke within the past 4 weeks | X | Intervention: SNRI, milnacipran Control: placebo | Hospital | Milnacipran was effective and safe in preventing poststroke depression. The incidence rate of DSM-IV major depression was 2.22 % in the intervention group, and 15.22 % in the control group (P < 0.05) | |
Robinson et al. [103] | 176 patients aged between 50 and 90 with hemispheric, brain-stem or cerebellar stroke within the past 3 months | X | X | Intervention: SSRI, escitalopram or PST Control: placebo | Hospital | Patients in the placebo group were more likely to develop major or minor depression than in both the escitalopram group (HR, 4.5; 95 % CI, 2.4–8.2) and the PST group (HR, 2.2; 95 % CI, 1.4–3.5) after adjustment for history of mood disorders and potential confounders. In the intention-to-treat analysis, escitalopram remained superior to placebo (HR, 2.2; 95 % CI, 1.2–3.9), but PST was not associated with a significant difference from placebo (HR, 1.1; 95 % CI, 0.8–1.5) |
Almeida et al. [95] | 111 patients with acute ischemic or hemorrhagic strokes within 2 weeks | X | Intervention: SSRI, sertraline Control: placebo | Hospital | Sertraline was not found to be effective in preventing 6-month depression. The incidence of depression was 16.7 % in the intervention group and 21.6 % in the control group (RR, 0.8; 95 % CI, 0.3–2.1). The discontinuation rates were high in both intervention group (51.8 %) and placebo group (47.3 %) | |
Niedermaier et al. [104] | 70 patients with immediate ischemic stroke | X | Intervention: NaSSA, mirtazapine Control: placebo | Hospital | Mirtazapine was effective in preventing poststroke depression. The incidence of DSM-IV depression was 5.7 % in the intervention group and 40 % in the placebo group (risk difference, −34.3 %; 95 % CI, −52.2 to −16.3 %) | |
Rasmussen et al. [94] | 137 patients with acute ischemic stroke within the past 4 weeks | X | Intervention: SSRI, sertraline Control: placebo | Hospital | Sertraline was effective and well tolerated in preventing depression. The incidence of depression based on HAM-D17 (>18) was 8.2 % in the intervention group and 22.8 % in the control group. The incidence of depression based on HAM-D6 (≥9) was 11.5 % in the intervention group and 28.1 % in the control group | |
Narushima et al. [105] | 48 patients aged between 18 and 85 with acute stroke within 6 months | X | Intervention: nortriptyline or SSRI, fluoxetine Control: placebo | Hospital | In completer analysis, the incidence of depression in the combined intervention group (7.7 %) was significantly lower than that in the placebo group (33.3 %) during the 3-month treatment period. In intention-to-treat analysis, no significant difference in depression incidence was found across groups in this period. 6 months after discontinuing treatment, the incidence of depression in the combined intervention group was significantly higher than in the placebo group (P = 0.047) | |
Palomaki et al. [106] | 100 patients aged under 71 with acute ischemic stroke within 1 month | X | Intervention: Mianserin Control: placebo | Hospital | Prevalence of depression and severity of depressive symptoms were not significantly different between intervention and control group at all time points. However, there was some improvement on the HAM and BDI among adults aged over 56 and males in the intervention group | |
Cancer | ||||||
Komatsu et al. [108] | 82 women aged under 80 with primary breast cancer, surgically treated and prescribed for adjuvant therapy | X | Intervention: An oncology nurse–guided patient education and support group plus CBT Control: usual care | Hospital | There were no significant differences between the intervention group and control group in anxiety and depressive symptoms, or quality of life | |
Pitceathly et al. [109] | 465 patients aged between 18 and 70 with newly diagnosed cancer, prescribed chemotherapy or radiotherapy, and expected to live for at least 2 years | X | Intervention: Immediate or delayed (8 weeks after starting cancer treatment) psychological intervention Control: usual care | Hospital | The intervention effects differed by patients’ risk levels. Among high-risk patients, individuals in the intervention group were less likely to develop anxiety or depression than those in the control group (OR, 0.54; 95 % CI, 0.29–1.00). Among low-risk patients, the difference between groups was not significant (OR, 1.50; 95 % CI, 0.51–4.43) | |
Lydiatt et al. [110] | 28 patients aged 19 and over with newly diagnosed or recurrent head-and-neck cancer and treated beyond limited excision | X | Intervention: SSRI, citalopram Control: placebo | Hospital | Citalopram has the potential in preventing depression. The incidence of depression was 50 % in the treatment group, which was not significantly different from that of 17 % in the control group (P = 0.17). However, the CGI-S scale indicated that 60 % patients in the placebo group were at least mildly ill, while only 15 % in the intervention group were (P = 0.04) | |
Petersen and Quinlivan [111] | 53 women with newly diagnosed gynecological cancer and primarily treated with surgery | X | Intervention: relaxation and counseling Control: usual care | Hospital | The intervention significantly reduced total HADS scores (P = 0.002), anxiety subscale (P = 0.001) and moderate depression subscale (P = 0.02) scores of the HADS, the total GHQ-28 scores (P < 0.02), the somatization, anxiety and personality development subscale scores of GHQ-28 (all P < 0.02), but not the major depression subscale score of GHQ-28 | |
Arthritis | ||||||
Sharpe et al. [113] | 53 patients aged between 18 and 75 with a less than 2-year history of definite or classical rheumatoid arthritis (seropositive) | X | Intervention: CBT plus routine medical management Control: standard care (routine medical management) | Hospital | The intervention significantly reduced depressive symptoms and C-reactive protein levels at posttreatment, and significantly reduced depressive symptoms and improved joint involvement at 6-month follow-up | |
Phillips [114] | 202 African Americans aged between 67 and 75 with both osteoarthritis and rheumatoid arthritis, and experienced arthritis-related chronic pain | X | Intervention: Community-based disease education and pain management Control: nondisease-related program | Community | The intervention significantly improved participants’ arthritis knowledge (P < 0.05), medical social support (P < 0.01), and depressive symptoms (P < 0.01) 1 year after program completion. The effects sustained to the second year after program completion | |
Diabetes and rheumatic diseases | ||||||
de Jonge et al. [115] | 100 patients with high level of case complexity (65 with rheumatic diseases and 35 with diabetes) | X | Intervention: Multifaceted nurse-led intervention Control: usual care | Hospital | The incidence of major depression was 36 % in the intervention group, comparing to 63 % in the control group (P = 0.02). The preventive effects were significant among subjects without severe pain (P = 0.04), or with baseline CES-D above 20 (P = 0.02) | |
Age-related macular degeneration (AMD) | ||||||
Rovner et al. [116] | 206 patients aged 65 and over with newly diagnosed neovascular AMD in one eye and pre-existing AMD in the other eye | X | Intervention: PST Control: usual care | Hospital | PST was effective in preventing depression in the short term. The 2-month incidence of depression was 11.6 % in the intervention group and 23.3 % in the control group (OR, 0.39; 95 % CI, 0.17–0.92), but the effect diminished by 6 months | |
Acute coronary syndrome (ACS) | ||||||
Hansen et al. [107] | 240 patients aged 18 and over with ACS | X | Intervention: SSRI, escitalopram Control: placebo | Hospital | Escitalopram was effective in preventing post-ACS depression. The incidence of ICD-10 depression was 1.6 % in the intervention group and 8.4 % in the control group (P = 0.022) | |
Hip fracture | ||||||
Burns et al. [96] | 172 patients aged 60 and over with hip fracture, and surgically treated within past 2 weeks | X | Intervention: CBT Control: usual care | Hospital | The intervention was not effective in preventing depression. The 6-week incidence of depression in the intervention group was 6 %, which was not significantly different from 16 % in the control group (OR, 0.40; 95 % CI, 0.12–1.30; P = 0.15) |
