Coaching in Healthy Dietary Practices in At-Risk Older Adults: A Case of Indicated Depression Prevention
Publication: American Journal of Psychiatry
Abstract
Prevention of major depressive disorder is important because current treatments are only partially adequate in reducing symptom burden and promoting health-related quality of life. Lifestyle interventions may be a desirable prevention strategy for reasons of patient preference, particularly among older patients from minority groups. Using evidence from a randomized depression prevention trial for older adults, the authors found that coaching in healthy dietary practices was potentially effective in protecting at-risk older adults from developing incident episodes of major depression. The authors describe the dietary coaching program (highlighted in a case example) as well as the feasibility and potential efficacy of the program within the context of evidence-based interventions for preventing episodes of major depression and mitigating symptoms of depression. Older adults receiving dietary coaching experienced a low incidence of major depressive episodes and exhibited a 40%−50% decrease in depressive symptoms, as well as enhanced well-being, during the initial 6-week intervention; these gains were sustained over 2 years. The authors also describe why lifestyle interventions like coaching in healthy dietary practices may hold promise as effective, practical, nonstigmatizing interventions for preventing episodes of major depressive disorder in older adults with subsyndromal depressive symptoms.
Preventing major depressive disorder in older adults could help improve their daily functioning, quality of life, and disease outcomes (1, 2). As proposed by the Institute of Medicine, an efficient approach is to target mildly symptomatic older adults because they are at highest risk of developing major depression (3–5). Preventive interventions that focus on at-risk adults with subsyndromal depressive symptoms (“indicated prevention”) would probably have the greatest impact in protecting older adults from the full clinical disorder and preventing the physical and emotional burdens associated with major depression (1, 6, 7).
Depression prevention research has shown substantial progress in recent years, building evidence for strategies that effectively reduce or delay the occurrence of incident cases of major depression (8–10). However, there is no gold standard for the prevention of major depression. Clinical researchers continue to ask which intervention to use and how best to implement prevention strategies in community-dwelling elderly populations. The optimal intervention is one that both alleviates depressive symptoms and prevents the downstream burdens of major depression (1).
Given the accelerated pace of the aging of the U.S. population and the projected doubling of older adults living with depression by 2030, identifying and disseminating successful approaches to depression prevention is essential. While conducting a randomized trial testing problem-solving therapy as indicated prevention, we observed a promising strategy for the prevention of major depression. In this trial, our attention control arm—coaching in healthy dietary practices—also appeared to protect older adults from incident episodes of major depression over 2 years of follow-up, reduce symptom burden, and improve health-related quality of life (11). This evidence is preliminary, given the absence of a concurrent usual-care control condition, but it may help inform the development of lifestyle interventions aimed at preventing major depression in at-risk older adults. Data from a recent meta-analysis indicate an incidence rate reduction of 20%−25% for psychological interventions relative to usual care (12). We observed greater reductions in both arms of our randomized controlled trial (40%−50%) (11).
Lifestyle Modification for Preventing Major Depression
There are several reasons why a lifestyle intervention like coaching in healthy dietary practices is a promising strategy for the prevention of major depressive disorder in at-risk older adults. First, older patients prefer counseling services to antidepressant medication for treatment of depression (13). Antidepressant medications, while effective in severe depression, show minimal benefit relative to placebo in subsyndromal depression (14). As a nonpharmacological alternative, lifestyle interventions are behavioral interventions that use counseling strategies to equip participants with the necessary knowledge and skills to modify and sustain a healthy diet, increased physical activity, and/or healthy weight. Regular engagement in these health behaviors is protective for mental health, and although they are widely recommended for the prevention and treatment of depression (15, 16), we are not aware of any clinical trials that systematically test lifestyle modification for indicated prevention of major depression. Lifestyle modification may have longer-lasting preventive effects than pharmacotherapy given its focus on building self-management skills to sustain a healthy behavioral routine.
Second, lifestyle interventions may appeal to older adults, especially those of racial/ethnic minority groups, because they are nonstigmatizing and culturally acceptable. Targeting minority elderly patients for depression prevention is of high public health importance because of inequalities in access, service use, and treatment of depression between races (17). Older minority respondents report significantly greater depression symptoms than older whites (18) but are reluctant to pursue mental health services because of distrust, stigma, and discrimination (19). These barriers may also explain why older minority patients are less likely than older whites to sustain depression treatment (20). Lifestyle interventions that are culturally sensitive may help reduce the disparities in mental health service use among our increasingly diverse older population.
Third, lifestyle may be the best intervention option for depression prevention in patients who are overweight or obese. More than one-third of adults age 65 and older are obese (21). Obesity is a risk factor for depression, and there is a reciprocal link between weight change and depressive symptoms (22). Several intervention studies have even suggested that weight change mediates the effects of depression treatment (23). If the obesity epidemic does not abate, modifications to existing depression prevention procedures may be required to treat overweight and obese older adults.
Despite these strengths, questions remain regarding what type of lifestyle intervention to use for at-risk older adults (e.g., dietary, physical activity, weight reduction, sleep). Ideally, a good preventive intervention is one that demonstrates patient safety, plausible evidence of efficacy, cost-effectiveness, and acceptability among older adults. To begin to address these concerns and promote the successful conduct of lifestyle modification as indicated prevention of major depression, we summarize treatment results from our recent randomized controlled trial that incorporated lifestyle modification as an active control (11).
Our Randomized Depression Prevention Trial
The study has been described in detail elsewhere (11). Briefly, the primary objective was to determine whether problem-solving therapy and coaching in healthy dietary practices could prevent episodes of major depression, mitigate depressive symptoms, and enhance health-related quality of life in older blacks and whites with subsyndromal depressive symptoms. Here we present intervention results for 122 participants (73 whites, 48 blacks, 1 Asian) who were allocated to the dietary coaching arm. The dietary coaching program was originally designed to be an attention control; we adopted it because, while we did not think it would affect depression, we thought it was important to offer a condition that could have other positive health effects and attract black participants into the trial. The patient in the vignette, Ms. J, was an older black woman who presented with a diagnosis of dysthymic disorder, late onset with atypical features. She was assigned to the dietary coaching arm, and she set goals to consume a more nutrient-dense diet with fewer calories. Although a diagnosis of dysthymic disorder was not required, it fulfilled our criterion for subsyndromal depressive symptoms. The goal of the trial was to determine whether problem-solving therapy was superior to dietary coaching in preventing incident episodes of major depression.
Psychiatric Assessment
We screened individuals age 50 and older and required a score ≥11 on the Center for Epidemiologic Studies Depression Scale (CES-D) (24) and an absence of a major depressive episode during the previous year. We administered the Structured Clinical Interview for DSM-IV (25) to rule out current major depressive disorder and suicidality. Participants had to have a score ≥24 on the Mini-Mental State Examination (26) to exclude probable dementia. Grounds for exclusion included an episode of alcohol or other substance use disorder within the past 12 months, a history of bipolar disorder or a psychotic disorder, and a neurodegenerative disorder.
Intervention
The healthy dietary practices coaching program comprised 6–8 sessions over a 6–12 week period and semiannual boosters 3, 9, and 15 months after the treatment phase. The first session lasted 1 hour, and subsequent sessions lasted approximately 30 minutes each. The program was delivered by social workers and mental health nurses trained in our center for depression prevention and treatment. At each session, interventionists reviewed general nutrition guidelines, including the U.S. Department of Agriculture Food Pyramid; helped with preparing weekly menus and grocery lists and saving food coupons; and reviewed food intake since last visit. Topics discussed included access to healthy food, cost of food, meal preparation, culturally specific and acceptable foods, and specific dietary topics raised by participants. Participants received coaching to address the challenges of implementing healthy dietary practices. Homework assignments were given to encourage and monitor adherence. See the data supplement that accompanies the online edition of this article for a detailed description of the steps involved in implementing the dietary coaching program.
Results
The participants’ mean age was 65.59 years (SD=10.95), and 71% were women. The mean baseline CES-D score was 21.15 (SD=7.91). Ninety-five participants (77.9%) in the dietary coaching arm completed the 2-year study. Reasons for dropout included respondent burden (15.6%), worsened cognitive function (3.3%), and death (3.3%). Ten of the 95 participants (10.5%) experienced onset of major depression. The strongest predictors of incident episodes were greater cumulative medical comorbidity, lower mental health-related quality of life, and greater baseline severity of depressive symptoms. Participants in the dietary coaching arm also experienced a 40%−50% improvement in depressive symptoms, with the mean Beck Depression Inventory (27) score decreasing from 9.92 (SD=5.51) at baseline to 5.93 (SD=4.94) after treatment, and the improvements were sustained over 2 years. (Participants in both arms of the study showed similar sustained improvements in symptom burden [depression and anxiety], quality of life, coping [problem-solving orientation], and body mass index.)
For Ms. J, her difficulty consuming healthy foods containing low-fat, low-calorie, and whole-grain contents were discussed, and she was encouraged throughout the intervention to use the “Rate Your Plate” diary to track her food patterns. Ms. J’s BDI score remained at 13 or 14 during most of the dietary coaching program, but she reported an improvement in depressive symptoms throughout the follow-up period despite a recurrence of her leukemia. During her leukemia treatment, she continued to work to find ways to improve the quality of her food choices. She did not experience onset of major depression. Although Ms. J’s BMI was high at the end of the dietary coaching program (at 32.28; ≥30 is considered obese), it had improved 2.5 points from baseline.
Dietary Coaching and Other Evidence-Based Interventions for Preventing Major Depression
Dietary coaching protected older adults for 2 years from the effects of subsyndromal depressive symptoms on incident episodes of major depression and persistence of depressive symptoms. We caution that our trial does not provide direct evidence of efficacy; the efficacy of the dietary coaching program is inferred on the basis of rates of incident major depression from other studies (12). That said, BDI scores decreased, on average, from 9.92 before the intervention to 5.93 after the intervention. We also observed improvement in physical- and mental-health-related quality of life, with postintervention scores on the SF-12 healthy survey (28) increasing by 3 and 4 points, respectively. The dietary coaching program was also acceptable to older blacks and whites, with high rates of adherence over 2 years. For Ms. J, she felt less depressed even while undergoing active treatment for chronic lymphoid leukemia. Her BDI scores continued to decrease over the 2-year study period as she worked to find ways to control her portion size and increase her appetite for higher-nutrition foods.
Several randomized controlled trials have supported the feasibility and efficacy of indicated prevention in at-risk older adults. For example, in a Dutch study of older primary care patients with subthreshold symptoms of depression and anxiety (29), an indicated intervention (which included problem-solving therapy) reduced the incidence of depressive and anxiety disorders by half over 1 year relative to usual care (24% compared with 12%). A similar result was reported in the MANAS trial (25% compared with 12.3%) in a mixed-aged Indian sample (30). In addition to reducing the incidence of major depression, the Prevention of Suicide in Primary Care Elderly: Collaborative Trial (PROSPECT) aimed to protect older adults from suicide, a critical downstream consequence of depression. A reduction in suicidal ideation over 2 years among older adults with subsyndromal depression was observed (25%–30% to 10%–15%) (31–33). Our data showed an incidence of major depression of 8.5% over 2 years and 5.3% over 1 year (whole trial), similar to the Dutch and Indian observations. Compared with previously published rates of incident major depression in persons with subsyndromal symptoms not receiving any intervention (20%−25% over 1 year) (12, 25–28), the apparent protective effect of the dietary coaching program is noteworthy.
The dietary coaching program’s protective effect in reducing symptom burden points to lifestyle modification as a promising strategy for indicated prevention of major depression in older adults. The program was conducted in a community setting, and it was safe for and acceptable to older adults. Even more encouraging is a protective effect in a racially heterogeneous sample of high-risk patients. The program was also easy to implement; face-to-face contact with interventionists was approximately 5.5 hours over 2 years. We acknowledge that clinical and psychosocial changes may also have influenced depressive symptoms, and we recommend that future investigations evaluate the extent to which patient characteristics influence the intervention’s effectiveness. We also recognize that acceptability may be lower among subgroups of older patients who prefer pharmacotherapy over behavior change therapy.
Underlying Mechanisms of the Possible Protective Effects of Dietary Coaching
There are several possible reasons why dietary coaching might have a protective effect against incident episodes of major depression in at-risk older adults. First, the dietary coaching program provided more than a control for the face-to-face contact that is inherent in problem-solving therapy. The program was a focused approach to a particular problem. It used counseling strategies such as goal-setting and empathetic listening to improve dietary behaviors. Therefore, the program’s active-coping component, as well as the social contact it entailed, may have protected against depression. Teaching active-coping skills diminishes a sense of helplessness, which is a core feature of depression. Similarly, teaching strategies for better health behaviors improves health-specific self-efficacy, a strong predictor of health behavior change and maintenance (34). Thus, implementing a skills-enhancing model of prevention together with targeting health behaviors associated with positive affect may have potentiated the program’s apparent preventive effects. Second, changes in dietary behaviors may have led to the increased consumption of certain nutrients (omega-3 fatty acids and B vitamins) and amino acids (tryptophan, tyrosine, and phenylalanine) that have been associated with a lower risk of developing depression (35, 36). There is evidence to suggest that deficiencies in omega-3s and B vitamins (particularly B9 [folate] and B12) lead to disturbances in neural function and brain metabolic processes, with depression symptoms a common manifestation of these deficiencies (37–39). Third, the dietary coaching program was not stigmatizing. Participants were helped in solving a problem associated with managing dietary health behaviors. With the higher positive problem-solving orientation (active coping) of blacks in the sample, including Ms. J, dietary coaching fit culturally with her personal life experiences of having to problem solve/cope even in the absence of extensive resources. The program did not pose the issues of safety, stigma, and financial burden associated with long-term antidepressant pharmacotherapy. As a result, participant burden was low and adherence was high.
Treatment Considerations
Mildly depressed patients are an important group to target for indicated prevention. Preventing incident episodes of major depressive disorder is critical for reducing the physical and emotional burden of late-life depression and promoting an enhanced quality of life. Based on our clinical experience and research findings, we offer the following recommendations for introducing lifestyle modification for the prevention of major depression in at-risk older adults with subsyndromal depression.
1.
Include lifestyle modification programs such as coaching in healthy dietary practices as an experimental arm in a randomized controlled trial. In order to build the evidence base for lifestyle modification as indicated prevention, safety and efficacy data must be collected from clinical trials. As a general approach to depression-prevention randomized controlled trials, we also recommend allowing for some tailoring of the delivery of the intervention, following patients for longer periods (2 years), and recruiting study groups of sufficient racial or ethnic diversity to examine variability related to sociocultural characteristics.
2.
In addition to dietary behaviors, there are other lifestyle approaches that may help prevent depression in older adults. Physical inactivity and poor sleep are predictors of major depression, and both are prevalent during later life. Physical activity and good sleep practices are modifiable behaviors that independently regulate mood, relieve stress, and are essential for cognitive functioning (40–42). Teaching older adults how to maintain regular physical activity and sleep habits should be a target for promoting mental health. However, what is unknown is whether improving physical activity or sleep quality prevents incident episodes of major depression in at-risk older adults. We strongly advocate research that can examine what aspect of physical activity (intensity, duration) or sleep (total sleep time, quality) is most critical to target. We must also test whether a multifaceted lifestyle intervention that promotes healthy dietary, physical activity, and sleep behaviors produces more favorable effects than interventions targeting any one behavior alone.
3.
There may be an important synergy between skill-enhancing interventions and those that promote healthy lifestyles. This interaction, which is particularly relevant for at-risk older adults, may be optimal in eliciting behavior changes and corresponding reductions in depressive symptoms. Problem-solving therapy, a skills-enhancing intervention, has been used in depression prevention studies successfully and could easily be amended to include lifestyle modification (8, 10, 29, 43). Our dietary coaching program could be considered a type of problem-solving therapy, in that it is a focused approach to a specific behavioral problem. We believe that physical activity and sleep interventions could easily incorporate a problem-solving therapy approach. Intervention strategies that simultaneously treat depression and focus on the maintenance of healthy lifestyles may achieve the best health outcomes, in terms of preempting incident episodes of major depression and its associated burdens. Practically, a problem-solving therapy/healthy lifestyle intervention is applicable in multiple settings and deliverable by general medical clinicians. Key elements of this joint intervention would include 1) individual sessions with a problem-solving therapy-trained health counselor, weekly for at least 8 weeks; 2) identification of an attainable health-related goal (e.g., eating a more nutrient-dense diet, exercising 150 minutes/week, implementing a regular sleep schedule); 3) development of a plan to overcome barriers to enacting the lifestyle changes necessary to achieve this goal (e.g., bodily pain, limited social support, diminished motivation); and 4) development of a method for measuring and monitoring adherence (e.g., daily diary, objective monitoring device).
4.
Intervene with the marital partner or significant other as well as with the patient. Older spouses tend to engage in similar health behaviors, which could be either health promoting or health damaging. When faced with a health-related stressor, spouses become a tremendous source of support (44). Lifestyle modification may be challenging if a patient’s marital partner is not included in treatment. Lack of patient progress may be explained by unsupportive partner behaviors such as lack of support for the patient’s behavioral changes to their shared daily lifestyle (45). A dyadic intervention that focuses on marital functioning, such as effective support seeking, would greatly enhance our understanding of the role of marriage in depression prevention.
Conclusions
Given the current state of major depression treatment efficiency, continued identification of effective prevention strategies is important for both clinical practice and health policy. Whether an indicated lifestyle intervention could prevent incident episodes of major depression and the downstream consequences of major depression in at-risk older adults is not clear, given the limited evidence. However, the case can be made that lifestyle modification should at least be considered a favorable option for indicated prevention, and future clinical trials are warranted. We may find that lifestyle interventions like coaching in healthy dietary practices are effective for reducing the burden of depression in at-risk older adults. To address questions of intervention efficacy, the field should seek to understand risk reduction strategies using the lifestyle modification strategies discussed here.
Footnote
Clinicaltrials.gov identifier: NCT00326677.
Supplementary Material
Supplementary Material (499_ds001.pdf)
- View/Download
- 17.80 KB
References
1.
Reynolds CF, Cuijpers P, Patel V, Cohen A, Dias A, Chowdhary N, Okereke OI, Dew MA, Anderson SJ, Mazumdar S, Lotrich F, Albert SM: Early intervention to reduce the global health and economic burden of major depression in older adults. Annu Rev Public Health 2012; 33:123–135
2.
Cuijpers P, Beekman ATF, Reynolds CF: Preventing depression: a global priority. JAMA 2012; 307:1033–1034
3.
Cuijpers P, de Graaf R, van Dorsselaer S: Minor depression: risk profiles, functional disability, health care use, and risk of developing major depression. J Affect Disord 2004; 79:71–79
4.
Muñoz RF, Ying YW, Bernal G, Pérez-Stable EJ, Sorensen JL, Hargreaves WA, Miranda J, Miller LS: Prevention of depression with primary care patients: a randomized controlled trial. Am J Community Psychol 1995; 23:199–222
5.
Smit F, Ederveen A, Cuijpers P, Deeg D, Beekman A: Opportunities for cost-effective prevention of late-life depression: an epidemiological approach. Arch Gen Psychiatry 2006; 63:290–296
6.
Cole MG: Evidence-based review of risk factors for geriatric depression and brief preventive interventions. Psychiatr Clin North Am 2005; 28:785–803
7.
Schoevers RA, Smit F, Deeg DJH, Cuijpers P, Dekker J, van Tilburg W, Beekman AT: Prevention of late-life depression in primary care: do we know where to begin? Am J Psychiatry 2006; 163:1611–1621
8.
Robinson RG, Jorge RE, Moser DJ, Acion L, Solodkin A, Small SL, Fonzetti P, Hegel M, Arndt S: Escitalopram and problem-solving therapy for prevention of poststroke depression: a randomized controlled trial. JAMA 2008; 299:2391–2400
9.
Cuijpers P: A psycho-educational approach to the treatment of depression: a meta-analysis of Lewinsohn’s “Coping With Depression” course. Behav Ther 1998; 29:521–533
10.
Rovner BW, Casten RJ, Hegel MT, Leiby BE, Tasman WS: Preventing depression in age-related macular degeneration. Arch Gen Psychiatry 2007; 64:886–892
11.
Reynolds CF, Thomas SB, Morse J, Anderson SJ, Albert SM, Dew MA, Begley AE, Karp J, Gildengers A, Butters MA, Stack JA, Kasckow J, Miller M, Quinn SC: Early intervention to preempt major depressive episodes in at-risk older blacks and whites. Psychiatr Serv (in press)
12.
Van Zoonen K, Buntrock C, Ebert CD, Smit F, Reynolds CF, Beekman ATF, Cuijpers P: Preventing the onset of major depressive disorder: a meta-analytic review of psychological interventions. Int J Epidemiol (in press)
13.
Cooper-Patrick L, Gallo JJ, Gonzales JJ, Vu HT, Powe NR, Nelson C, Ford DE: Race, gender, and partnership in the patient-physician relationship. JAMA 1999; 282:583–589
14.
Fournier JC, DeRubeis RJ, Hollon SD, Dimidjian S, Amsterdam JD, Shelton RC, Fawcett J: Antidepressant drug effects and depression severity: a patient-level meta-analysis. JAMA 2010; 303:47–53
15.
Williamson GM, Shaffer DR: The activity restriction model of depressed affect: antecedents and consequences of restricted normal activities, in Physical Illness and Depression in Older Adults: A Handbook of Theory, Research, and Practice. Edited by, Williamson GM, Shaffer DR, Parmelee PA. New York, Kluwer Academic/Plenum, 2000, pp 173–200
16.
Popa TA, Ladea M: Nutrition and depression at the forefront of progress. J Med Life 2012; 5:414–419
17.
Jang Y, Borenstein AR, Chiriboga DA, Mortimer JA: Depressive symptoms among African American and white older adults. J Gerontol B Psychol Sci Soc Sci 2005; 60:313–P319
18.
Williams DR: Race, stress, and mental health, in Minority Health in America: Findings and Policy Implications From Commonwealth Fund Minority Health Survey. Baltimore, Johns Hopkins University Press, 2000, pp 194–208
19.
Steffens DC, Artigues DL, Ornstein KA, Krishnan KR: A review of racial differences in geriatric depression: implications for care and clinical research. J Natl Med Assoc 1997; 89:731–736
20.
Areán PA, Alvidrez J, Nery R, Estes C, Linkins K: Recruitment and retention of older minorities in mental health services research. Gerontologist 2003; 43:36–44
21.
Fakhouri TH, Ogden CL, Carroll MD, Kit BK, Flegal KM: Prevalence of Obesity Among Older Adults in the United States, 2007–2010 (NCHS Data Brief no 106). Hyattsville, Md, National Center for Health Statistics, 2012
22.
Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BW, Zitman FG: Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry 2010; 67:220–229
23.
Williamson DA, Rejeski J, Lang W, Van Dorsten B, Fabricatore AN, Toledo K; Look AHEAD Research Group: Impact of a weight management program on health-related quality of life in overweight adults with type 2 diabetes. Arch Intern Med 2009; 169:163–171
24.
Radloff LS: The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977; 1:385–401
25.
Spitzer RL, Williams JBW, Gibbon M, First MB: Structured Clinical Interview for DSM-IV (SCID). New York, New York State Psychiatric Institute, Biometrics Research, 1995
26.
Folstein MF, Folstein SE, McHugh PR: “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12:189–198
27.
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatry 1961; 4:561–571
28.
Ware J: SF-36 Health Survey: Manual and Interpretation Guide 2. Boston, Health Institute, New England Medical Center, 1997
29.
van’t Veer-Tazelaar PJ, van Marwijk HW, van Oppen P, van Hout HP, van der Horst HE, Cuijpers P, Smit F, Beekman AT: Stepped-care prevention of anxiety and depression in late life: a randomized controlled trial. Arch Gen Psychiatry 2009; 66:297–304
30.
Patel V, Weiss HA, Chowdhary N, Naik S, Pednekar S, Chatterjee S, De Silva MJ, Bhat B, Araya R, King M, Simon G, Verdeli H, Kirkwood BR: Effectiveness of an intervention led by lay health counsellors for depressive and anxiety disorders in primary care in Goa, India (MANAS): a cluster randomised controlled trial. Lancet 2010; 376:2086–2095
31.
Lyness JM, Heo M, Datto CJ, Ten Have TR, Katz IR, Drayer R, Reynolds CF, Alexopoulos GS, Bruce ML: Outcomes of minor and subsyndromal depression among elderly patients in primary care settings. Ann Intern Med 2006; 144:496–504
32.
Bruce ML, Ten Have TR, Reynolds CF, Katz II, Schulberg HC, Mulsant BH, Brown GK, McAvay GJ, Pearson JL, Alexopoulos GS: Reducing suicidal ideation and depressive symptoms in depressed older primary care patients: a randomized controlled trial. JAMA 2004; 291:1081–1091
33.
Lyness JM, Yu Q, Tang W, Tu X, Conwell Y: Risks for depression onset in primary care elderly patients: potential targets for preventive interventions. Am J Psychiatry 2009; 166:1375–1383
34.
Bandura A: Health promotion by social cognitive means. Health Educ Behav 2004; 31:143–164
35.
Sánchez-Villegas A, Delgado-Rodríguez M, Alonso A, Schlatter J, Lahortiga F, Serra Majem L, Martínez-González MA: Association of the Mediterranean dietary pattern with the incidence of depression: the Seguimiento Universidad de Navarra/University of Navarra follow-up (SUN) cohort. Arch Gen Psychiatry 2009; 66:1090–1098
36.
Ross BM, Seguin J, Sieswerda LE: Omega-3 fatty acids as treatments for mental illness: which disorder and which fatty acid? Lipids Health Dis 2007; 6:21
37.
Sinclair AJ, Begg D, Mathai M, Weisinger RS: Omega 3 fatty acids and the brain: review of studies in depression. Asia Pac J Clin Nutr 2007; 16(suppl 1):391–397
38.
Alpert JE, Fava M: Nutrition and depression: the role of folate. Nutr Rev 1997; 55:145–149
39.
Young SN: Folate and depression: a neglected problem. J Psychiatry Neurosci 2007; 32:80–82
40.
Vogel T, Brechat PH, Leprêtre PM, Kaltenbach G, Berthel M, Lonsdorfer J: Health benefits of physical activity in older patients: a review. Int J Clin Pract 2009; 63:303–320
41.
Buysse DJ: Insomnia, depression, and aging: assessing sleep and mood interactions in older adults. Geriatrics 2004; 59:47–51, quiz 52
42.
Altena E, Ramautar JR, Van Der Werf YD, Van Someren EJ: Do sleep complaints contribute to age-related cognitive decline? Prog Brain Res 2010; 185:181–205
43.
Ciechanowski P, Wagner E, Schmaling K, Schwartz S, Williams B, Diehr P, Kulzer J, Gray S, Collier C, LoGerfo J: Community-integrated home-based depression treatment in older adults: a randomized controlled trial. JAMA 2004; 291:1569–1577
44.
Fiske A: The nature of depression in later life, in Psychotherapy for Depression in Older Adults. Edited by, Qualls S, Knight B. Hoboken, NJ, John Wiley & Sons, 2006, pp 29–44
45.
Martire LM, Schulz R, Helgeson VS, Small BJ, Saghafi EM: Review and meta-analysis of couple-oriented interventions for chronic illness. Ann Behav Med 2010; 40:325–342
Information & Authors
Information
Published In
History
Received: 7 October 2013
Revision received: 20 December 2013
Accepted: 30 December 2013
Published online: 1 May 2014
Published in print: May 2014
Authors
Competing Interests
Dr. Reynolds has received pharmaceutical support for NIH-sponsored research studies from Bristol-Myers Squibb, Eli Lilly, Forest, and Pfizer; grants from NIMH, the National Institute on Aging, the National Center for Minority Health Disparities, the National Heart, Lung, and Blood Institute, the Centers for Medicare and Medicaid Services, the Patient-Centered Outcomes Research Institute, the Commonwealth of Pennsylvania, the John A. Hartford Foundation, the National Palliative Care Research Center, the Clinical and Translational Science Institute, and the American Foundation for Suicide Prevention; and a speaking honorarium from Medscape/WebMD; he has also received licensing fees for psychometric analysis of the Pittsburgh Sleep Quality Index (PRO10050447). The other authors report no financial relationships with commercial interests.
Funding Information
Supported in part by NIH grants P30 MH090333, P60 MD000207, MHO19986, NR009573, NR013450, R01 NR012459, CDC U48 DP001918, UL1RR024153, UL1TR00000, 5AG026010, and AG032370; by National Science Foundation grant 0540865; and by the University of Pittsburgh Medical Center Endowment in Geriatric Psychiatry.
Metrics & Citations
Metrics
Citations
Export Citations
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
For more information or tips please see 'Downloading to a citation manager' in the Help menu.
View Options
View options
PDF/EPUB
View PDF/EPUBLogin options
Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.
Personal login Institutional Login Open Athens loginNot a subscriber?
PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.
Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).