Journal of Gerontological Nursing

Feature Article Supplemental Data

Effects of Exercise Interventions on Depressive Symptoms Among Community-Dwelling Older Adults in the United States: A Systematic Review

Jin Young Seo, PhD, WHNP-BC, RN; Ying-Yu Chao, PhD, GNP-BC, RN


Depression is the most prevalent mental health problem among older adults. Exercise has been found to have a protective and treatable effect on depression in this population. A systematic review of literature published between 2006 and 2015 was performed to examine the influence of exercise interventions in reducing depressive symptoms among community-dwelling older adults in the United States. Ten studies were identified for inclusion. Exercise interventions have positive effects on clinical depression and depressive symptoms among older adults. In addition, exercise interventions alleviated the depressive symptoms among older adults with a diagnosis of chronic disease. Future studies should include a randomized controlled trial with a larger sample, longitudinal design, and culturally sensitive intervention. For long-term benefits, incorporating motivational strategies into community exercise programs and collaborating with community health care providers are recommended to enhance the maintenance of exercise behavior among community-dwelling older adults. [Journal of Gerontological Nursing, 44(3), 31–38.]


Depression is the most prevalent mental health problem among older adults. Exercise has been found to have a protective and treatable effect on depression in this population. A systematic review of literature published between 2006 and 2015 was performed to examine the influence of exercise interventions in reducing depressive symptoms among community-dwelling older adults in the United States. Ten studies were identified for inclusion. Exercise interventions have positive effects on clinical depression and depressive symptoms among older adults. In addition, exercise interventions alleviated the depressive symptoms among older adults with a diagnosis of chronic disease. Future studies should include a randomized controlled trial with a larger sample, longitudinal design, and culturally sensitive intervention. For long-term benefits, incorporating motivational strategies into community exercise programs and collaborating with community health care providers are recommended to enhance the maintenance of exercise behavior among community-dwelling older adults. [Journal of Gerontological Nursing, 44(3), 31–38.]

Mental health is a major public health concern. Depression is the most prevalent mental health problem among older adults. It is estimated that 15.7% of adults 50 or older have experienced depression at some time in their life and 7.7% reported that they currently experience depression (Centers for Disease Control and Prevention [CDC], 2015). Some individuals may have depressive symptoms due to environmental and personal circumstances without meeting the criteria of clinical depression (Ayuso-Mateos, Nuevo, Verdes, Naidoo, & Chatterji, 2010). However, depressive symptoms often precede clinical depression (Conn, 2010). Depression is under-recognized and under-diagnosed in older adults because the influence of somatic and psychiatric comorbidity. Older adults with depression tend to have more chronic pain, psychomotor retardation, and cognitive impairment or weight loss than younger adults with depression (Lavretsky et al., 2011). Distress and depression can cause physical, mental, and social functioning impairment (Ayuso-Mateos et al., 2010). Depression also affects quality of life and increases health care costs in the United States (CDC, 2013).

Older adults often have multiple medical disorders. Depression is one of the most common comorbidities associated with chronic diseases. Medical conditions associated with depressive symptoms include neurological disorders (e.g., dementia, stroke, Parkinson's disease) and endocrine disorders (e.g., hypothyroidism, Cushing's disease, diabetes mellitus) (Unützer, 2002). In addition, the use of medications (e.g., corticosteroid, benzodiazepine, anti-hypertensive agents) can cause or worsen depression (Unützer, 2002; Volkers, Nuyen, Verhaak, & Schellevis, 2004). Hence, the presence of depression not only adversely affects the course but also complicates the treatment of chronic diseases (CDC, 2013). Depression can be treated by antidepressant drugs, electroconvulsive therapy, cognitive-behavioral therapy, cognitive bibliotherapy, problem-solving therapy, brief psychodynamic therapy, and life review/reminiscence therapy (Fiske, Wetherell, & Gatz, 2009). However, it is difficult to manage depression in older adults because of the costs, side effects, and interactions among medications. Older adults also have less ability or willingness to participate actively in treatments (Blake, Mo, Malik, & Thomas, 2009; McCaffrey, Liehr, Gregersen, & Nishioka, 2011). Consequently, nonpharmacological interventions are needed to avoid undesirable side effects. These interventions may be more acceptable to older adults as they have fewer social and financial impediments as alternative treatments for this age group.

Physical activity is defined as physical movement generated by skeletal muscles that results in energy expenditure, such as brisk walking, raking leaves, or taking the stairs (National Institute on Aging [NIA], 2016). Exercise is a subset of physical activity that is intended, planned, and repetitive physical movement to improve or maintain physical fitness, such as weight training, tai chi, or aerobics (Caspersen, Powell, & Christenson, 1985; NIA, 2016). However, the terms physical activity and exercise are often used interchangeably (Musanti & Murley, 2016; NIA, 2016). Regular exercise improves static balance, dynamic balance, balance confidence, gait speed, cognitive functioning, and health-related quality of life in frail older adults (Eyigor, Karapolat, Durmaz, Ibisoglu, & Cakir, 2009; Konak, Kibar, & Ergin, 2016; Napoli et al., 2014; Yoon et al., 2013). In addition, exercise has been found to be an effective alternative intervention that is often recommended to prevent and treat depression in older adults (Knapen, Vancampfort, Moriën, & Marchal, 2015; Lavretsky et al., 2011).

The biochemical or physiological mechanism is one of the explanations for the antidepressant effects of exercise. Current literature suggests that major depression may be associated with the elevated levels of cytokines and an increased inflammatory state (Dantzer, O'Connor, Freund, Johnson, & Kelley, 2008; Dowlati et al., 2010; Howren, Lamkin, & Suls, 2009). A recent meta-analysis suggested that anti-inflammatory treatment can decrease depressive symptoms (Köhler et al., 2014). Exercise can bring similar antidepressant effects by increasing synthesis and release of endogenous opiates, endocannabinoids, brain neurotransmitters, and anti-inflammatory cytokines, as well as increasing cerebral blood flow and hypothalamic–pituitary–adrenal axis function (Conn, 2010; Matta Mello Portugal et al., 2013). Other hypothesized mechanisms to explain the positive relationship between exercise and mental health include self-esteem and mastery explanations, and the distraction hypothesis. Physical activity increases physical ability, which may enhance one's self-estimation, resulting in higher levels of self-esteem and body perceptions. In addition, exercise can serve as a useful distraction from stressful feelings, which can lead to better psychological wellness (Daley, 2002).

There has been an increase in systematic reviews that examine the effects of physical activity interventions on depressive symptoms. Most studies included older adults who live in nursing homes or assisted living facilities (Blake et al., 2009; Conn, 2010). However, a systematic review of exercise interventions on depressive symptoms in community-dwelling older adults in the United States is lacking. Hence, the aim of the current review was to assess the influence of exercise interventions on alleviating depressive symptoms in older adults who reside in a community setting in the United States.


The search strategy for this systematic review was guided by research terms (i.e., keywords and/or subject heading when applicable) that included exercise, physical activity, depression, depressive symptoms, and older adults. An online search was performed of the electronic bibliographic databases CINAHL, PubMed, PsycINFO, and Medline (OVID). Manual reviews of reference lists and internet searches (Google Scholar) were conducted to discover relevant articles for inclusion.

Research articles written in English, published from January 2006 to August 2015, that met the following inclusion criteria were reviewed: (a) studies conducted in the United States; (b) the study setting was a community (nursing homes and assisted living facilities were excluded); (c) studies that reported primary research; (d) studies that were either a randomized controlled trial (RCT) or a quasi-experimental design with intervention; (e) intervention(s) included exercise component/program, and depressive symptoms had to be measured before and after intervention regardless of the status of baseline clinical depression; and (f) mean age for participants was >60. Editorials, letters to the editor, case studies, opinions, study protocols, and dissertations were excluded.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines provided the direction for the current systematic review (Moher, Liberati, Tetzlaff, & Altman, 2009). Based on literature searches, 2,536 articles were identified initially and 1,545 remained after removing duplicates (Figure). The results of the search and selection process were managed using EndNote software. The authors independently performed the review process by title, abstract, and full-text screening. In each screening process, the results were compared, and any discrepancies were discussed by the authors. Of the 2,536 relevant articles identified, only 10 articles were included that assessed the effectiveness of exercise intervention on depressive symptoms among community-dwelling older adults. The included studies were assessed for methodological quality.

Flow diagram of articles meeting search criteria.


Flow diagram of articles meeting search criteria.

The Quality Assessment of Controlled Intervention Study (National Institutes of Health [NIH], 2014) was used to assess methodological quality and risk for bias. This tool contained 14 questions to assess the design, randomization, sample sizes, measurements, and statistical analyses for controlled intervention studies. The main purpose of the tool is to determine the potential bias that influences the internal validity in a study that would prevent it from reaching a summary judgment of high quality (NIH, 2014). The authors screened articles independently using this tool, and discussed the results to identify any fatal flaws in each study.


Study Characteristics

Based on the literature search, 10 studies that met the final inclusion criteria were included in the review (Table A, available in the online version of this article). By U.S. region, four studies were conducted in the Southeast, three in the Northeast, two in the West, and one in the Midwest. Research designs for the included studies were RCTs (n = 7) and quasi-experimental designs (n = 3). Three studies were a pilot study. Few studies were developed and guided by a conceptual or theoretical framework (McCaffrey et al., 2011; Payne, Held, Thorpe, & Shaw, 2008; Resnick, Luisi, & Vogel, 2008). Exercise interventions were conducted in community settings that included homes (Payne et al., 2008; Pinto, Dunsiger, Farrell, Marcus, & Todaro, 2013), museums/gardens (McCaffrey et al., 2011), or senior centers/facilities (Bonura & Tenenbaum, 2014; Park, McCaffrey, Newman, Cheung, & Hagen, 2014; Resnick et al., 2008). Four studies reported the location of the setting, but did not describe it in detail.

Summary of Included Studies (n = 10)Summary of Included Studies (n = 10)Summary of Included Studies (n = 10)Summary of Included Studies (n = 10)Summary of Included Studies (n = 10)

Table A:

Summary of Included Studies (n = 10)

Participant Characteristics

Participants were recruited through the placement of advertisements, by press releases in local newspapers, and friend referrals, and visits to senior citizen meal sites, churches and church groups, senior community service organizations, independent living housing facilities, and community activity facilities. In total, the 10 articles comprised 827 participants with a mean sample size of 82.7 (range = 20 to 166 participants). Mean age of participants was 70.42 years (range = 63.6 to 79 years). One study targeted women with breast cancer (Payne et al., 2008), but all other studies included male and female participants (mean female participation = 56.6%). Four studies reported racial and ethnic information for the sample (Park et al., 2014; Payne et al., 2008; Pinto et al., 2013; Resnick et al., 2008). The majority of participants in the studies were White. Only one study (Resnick et al., 2008) included higher rates of ethnic minorities (92.8%; African American and Latino older adults). Although all studies measured baseline depression to assess the effectiveness of exercise intervention in reducing depressive symptoms, only two studies (Lavretsky et al., 2011; McCaffrey et al., 2011) screened or recruited participants with self-diagnosed or health care provider–diagnosed depression. Six studies targeted participants with specific health conditions, which included cancers (Kohut et al., 2006; Payne et al., 2008), osteoarthritis (Park et al., 2014), or cardiovascular disease (Pinto et al., 2013; Pope et al., 2011; Redwine et al., 2012).

Quality Assessment

Quality assessment for the selected 10 articles is summarized in Table B (available in the online version of this article) based on the quality assessment of Blake et al. (2009). No fatal flaws were found among the 10 included studies. All studies used randomization procedures except one (Redwine et al., 2012), but these procedures were not reported consistently. Park et al. (2014) intentionally excluded participants for randomization who had moderate to severe Alzheimer's disease. Among the 10 articles, six studies reported the use of the concealment method (Lavretsky et al., 2011; McCaffrey et al., 2011; Park et al., 2014; Pinto et al., 2013; Pope et al., 2011; Resnick et al., 2008). Two studies kept participants' treatment conditions blinded to laboratory personnel (Kohut et al., 2006) and those who rated the assessment (Lavretsky et al., 2011). Seven studies described groups that had similar characteristics at baseline, and two studies did not report group differences in baseline measures (Park et al., 2014; Payne et al., 2008). Eight of 10 studies reported high retention rates (>80%), and the attrition rates ranged from 4.1% to 38%. Only two studies (Lavretsky et al., 2011; Pinto et al., 2013) included the use of intention-to-treat analysis.

Quality Assessment of Selected Studies

Table B:

Quality Assessment of Selected Studies


Mode of Intervention. The mode of exercise interventions included walking (McCaffrey et al., 2011; Payne et al., 2008; Pinto et al., 2013; Pope et al., 2011), yoga (Bonura & Tenenbaum, 2014; Park et al., 2014), and tai chi (Lavretsky et al., 2011; Redwine et al., 2012). Two studies combined different exercise modalities in the program. One study allowed participants to choose an exercise modality at a prescribed intensity for aerobic exercises (e.g., treadmills, NuStep®, an arm ergometer, AirDyne® and other stationary bikes, a vertical climbing machine, cross trainers, and elliptical machines), strength/flexibility/balance exercises (e.g., yoga, tai chi, flex band, free hand weights, stability balls), or resistance training exercises that used different weight machines (e.g., Cybex®, Nautilus®, and LifeFitness®) (Kohut et al., 2006). The other study implemented a combined physical activity (stretching, resistance, and aerobic exercise activities) and self-efficacy program, which enhanced intervention (Resnick et al., 2008).

Intensity and Duration. The training intensities in the reviewed studies varied. The frequencies of the exercise interventions were one to four times per week, and lasted 20 to 120 minutes per session. Duration of exercise programs ranged from 6 to 40 weeks. Three studies reported follow-up assessments posttest that varied from 1 to 12 months (Bonura & Tenenbaum, 2014; Park et al., 2014; Pinto et al., 2013). Participant retention rate was 62% to 95.9% across the 10 studies.

Outcome Measurements. Six studies used the Geriatric Depression Scale (GDS 5, 15, or 30) to measure depressive symptoms (Bonura & Tenenbaum, 2014; Kohut et al., 2006; McCaffrey et al., 2011; Park et al., 2014; Pope et al., 2011; Resnick et al., 2008). The other studies used the Hamilton Depression Rating Scale (Lavretsky et al., 2011), Center for Epidemiologic Studies–Depression (Payne et al., 2008), Cardiac Depression Scale (Pinto et al., 2013), or Beck Depression Inventory (BDI; Redwine et al., 2012).

Effects of Exercise on Depressive Symptoms

Immediate Effects Post-Intervention. Two Groups With Two Exercise Interventions. In one study, older adults with coronary heart disease who were assigned to a high-calorie-expenditure exercise had higher levels of improvement in depressive symptoms compared with those in a low-calorie-expenditure exercise (standard cardiac rehabilitation) after 4 months of exercise (Pope et al., 2011). Kohut et al. (2006) reported that aerobic exercise had more positive effects on depressive symptoms than flexibility/strength exercise after 10-month exercise three times per week and 45 minutes per session. They found that aerobic exercise significantly reduced the inflammatory mediators (e.g., serum C-reactive protein, interleukin [IL] -6, IL-18), which are related to antidepressant effects (Kohut et al., 2006).

Two Groups With One Exercise Intervention. These studies reported significant positive results for exercise intervention in clinical depression and depressive symptoms (Lavretsky et al., 2011; Park et al., 2014; Redwine et al., 2012). Two studies showed that participants in the exercise group had significant improvement in depressive symptoms compared with those who were in the control group that received a health education program (Lavretsky et al., 2011; Park et al., 2014). Redwine et al. (2012) found that a 12-week tai chi program reduced somatic symptoms significantly more than usual care, but not cognitive symptoms, as measured by the BDI with subcategorized scores of BDI-somatic and BDI-cognitive (Redwine et al., 2012). Resnick et al. (2008) found that participants who received a 12-week senior exercise, self-efficacy program that combined stretching, resistance, and aerobic exercise had significantly fewer depressive symptoms than those who received routine activities and nutrition courses. On the other hand, an intervention with 14-week, home-based, moderate walking exercise demonstrated a decrease in depressive symptoms over time; however, no significant group differences were found when this form of exercise was compared with usual care (Payne et al., 2008). Similarly, another study reported that a maintenance counseling intervention that was delivered by telephone to encourage participants to perform home-based walking or running with a pedometer and exercise logs did not show significant improvement in depressive symptoms compared to the contact control group who received phone calls to monitor general health problems after a 6-month intervention (Pinto et al., 2013).

Three Groups With Two Exercise Interventions. One study found that participants in the chair yoga group had significant reductions in depressive symptoms compared to those in the chair exercise group or the no treatment group at posttest after 6-week programs (Bonura & Tenenbaum, 2014). On the other hand, one study showed that participants in the walking group, independent walking group, or art therapy group had significant decreases in clinical depression from pre- to posttest after the 6-week program, but there were no significant differences between groups (McCaffrey et al., 2011).

Sustainable Effects Post-Intervention. Results of the sustainable effects post-intervention were available in three studies (Bonura & Tenenbaum, 2014; Park et al., 2014; Pinto et al., 2013). The positive effect on depressive symptoms obtained during the 6- and 8-week chair yoga intervention was reported to be sustainable for at least 1 month after the program (Bonura & Tenenbaum, 2014; Park et al., 2014). Pinto et al. (2013) reported that although the maintenance counseling group did not exhibit significant improvement in depressive symptoms compared to the contact control group after a 6-month intervention, there were significant group differences after 12 months of intervention.


The current systematic review, which included seven RCTs and three quasi-experimental designs, provided an in-depth narrative synthesis and evaluation of exercise interventions on depressive symptoms in community-dwelling older adults. Based on the data reported in the 10 studies, six of eight studies had significant positive findings in depressive symptoms immediately after exercise intervention when compared with controls. In the remaining two studies with participants in two different groups who received different exercise interventions, only one study had significant reductions in depressive symptoms immediately after exercise intervention. As for the sustainable effects of the program, two studies measured the effects of exercise interventions at 1-month follow up and one study measured the effects at 6-month follow up. None of the studies measured the long-term (>12 months) effects of the program. These findings are congruent with two previous systematic reviews (Blake et al., 2009; Sjösten & Kivelä, 2006), which confirmed short-term positive effects of exercise interventions on clinical depression and depressive symptoms among older adults. Measuring long-term effectiveness of exercise interventions and developing strategies to maintain a sustainable effect after intervention constitutes an important target for future research. It is difficult to make a firm conclusion about the effectiveness of exercise intervention because the studies were varied in their mode of intervention, intensity and duration of exercise, measurement of depressive symptoms, and length of follow up. In addition, sample characteristics varied across the studies. Only two studies targeted older adults who had self-diagnosed or health care provider–diagnosed depression. Other studies targeted older adults who had specific health conditions, such as cancer, osteoarthritis, or cardiovascular disease.

The reviewed studies showed that exercise interventions not only decreased clinical depression in older adults, but interventions also alleviated the depressive symptoms of older adults with a diagnosis of cancer, osteoarthritis, coronary heart disease, and heart failure. The findings were supported by a meta-analysis that exercise is an effective approach to prevent and treat mental and physical health problems in patients with major depression (Knapen et al., 2015). Knapen et al. (2015) suggested that the positive effects of exercise are comparable to antidepressant medication and psychotherapy for patients with mild to moderate depression. Exercise is also a complementary therapy to traditional treatments for patients with severe depression (Knapen et al., 2015). The current findings were also supported by a previous meta-analysis that physical activity interventions reduced depressive symptoms, even in adults without clinical depression (Conn, 2010). Therefore, it is important to develop interventions aimed at increasing physical activity or exercise in older adults. Review of the immediate effects and sustainable effects of exercise intervention and group comparisons to prevent or alleviate depressive symptoms in older adults provides useful information for designing interventions.

Except for Resnick et al. (2008), most studies recruited Caucasian individuals predominantly. Ethnic minorities were less likely to engage in physical activity and participate in community-based exercise programs (Resnick et al., 2008). In addition, they were less likely to receive a depression diagnosis and be treated compared to non-Hispanic White individuals (Akincigil et al., 2011). Racial and ethnic minorities may delay seeking help until the depressive symptoms become severe, or they may rely on informal, alternative, or medical service providers rather than mental health professionals (Givens, Houston, Van Voorhees, Ford, & Cooper, 2007; Sue, Cheng, Saad, & Chu, 2012). Reluctance of ethnic minorities to use mental health services may be the result of a cultural stigma that is associated with mental illness (Kandula, Kersey, & Lurie, 2004; Kramer, Kwong, Lee, & Chung, 2002). For example, stigma and shame often prevent Asian immigrants from seeking care, accepting treatment, or adhering to treatment (Conner et al., 2010; Kramer et al., 2002). There are limited studies on the attitudes and preferences of mental health treatment of ethnic minority groups. In future studies, it is important to include ethnic minorities or ethnically diverse communities to reinforce the positive effects of physical exercise on depressive symptoms. In addition, future exercise interventions targeted at ethnic minorities should address multiple barriers and need to be tailored to their unique needs and cultural preference. Tai chi is an example of a culturally sensitive exercise intervention, which is a form of mind–body exercise that involves a series of slow, focused movements with deep breathing and relaxation that are suitable for older adults (Chi, Jordan-Marsh, Guo, Xie, & Bai, 2013). Tai chi has shown great potential for improving psychological well-being in older adults with depression, anxiety, stress, and mood disturbance (Wang et al., 2010; Wang et al., 2014). Application of folk dancing that is specific to certain races/ethnicities as a form of intervention is another example of incorporating cultural preference for older adults from backgrounds that are diverse culturally and linguistically (Eyigor et al., 2009).


Exercise is an alternative intervention to prevent or alleviate depressive symptoms in older adults. However, older adults with depression were less active physically compared with older adults without depression (Wassink-Vossen et al., 2014). Older adults with depression had more functional limitations (somatic condition), lower overall levels of cognitive functioning and sense of mastery, and used more medications (Lavretsky et al., 2011; Wassink-Vossen et al., 2014). Hence, the design of exercise interventions for older adults with depression should take patient characteristics into account to strengthen the sense of mastery through psychotherapeutic interventions, and to modify interventions to accommodate functional limitations. Motivational strategies could be incorporated into exercise interventions to enhance older adults' motivation and adherence to the program, such as using exergames (Chao, Scherer, Wu, Lucke, & Montgomery, 2013) and text messaging (Muller, Khoo, & Morris, 2016), or having peer support (Tomasino et al., 2017).

Care of older adults is complex and nuanced because they have multiple physical, social, and psychological conditions (Hooks & Roberts, 2007). Studies suggested that interprofessional approaches have effectively enhanced assessment, planning, and delivery of health care for older adults, such as fall prevention programs to reduce the risk of falls (Banez et al., 2008; Eckstrom et al., 2016) and geriatric care transitions to community from post-acute care facilities (Farris et al., 2017). Gerontological nurses can play a critical role in encouraging community-dwelling older adults to engage in physical activity to improve depressive symptoms. They can uniquely assess complex physical and mental health needs of older adults and plan and refer them to appropriate exercise interventions to cope with changes in their mental and physical abilities. In addition, gerontological nurses can partner with collaborative interdisciplinary teams to develop and implement senior exercise programs at homes or in the community, such as adult day care centers and community health centers.

As for ethnic minorities, community-based participatory research (CBPR) has been shown to be effective as a strategy for implementing interventions to improve health outcomes (Katigbak, Foley, Robert, & Hutchinson, 2016). CBPR is a collaborative, action-oriented research approach that involves community members' knowledge of their communities and academic researchers' research expertise (Katigbak et al., 2016). Researchers have used CBPR to promote physical activity among African American individuals (Coughlin & Smith, 2016) and improve management of hypertension among Filipino American individuals (Ursua et al., 2014). Hence, further studies may train community health workers to reach out to minority older adults and encourage them to participate in exercise programs. In addition, future exercise studies should include RCTs, a longitudinal study, and a culturally sensitive, adapted design.


The limitations of the 10 included studies were their small sample sizes, various intervention modalities, and inconsistent measurements of outcome. In addition, most participants were Caucasian individuals. Therefore, the generalizability of current findings to minority populations is limited. For the purpose of the current study, the effectiveness of exercise intervention was determined solely by what was reported in each study. Different statistical analyses and varied sample sizes in each study may have influenced the significance of the exercise intervention on depression. In several studies, depression was measured with other psychosocial factors (e.g., perceived stress, social support, life satisfaction) and physical measurements (e.g., inflammatory markers, body weight, pain). However, for the analysis in the current review, the effectiveness of exercise on other outcomes was not addressed.


The findings of this systematic literature review suggest that exercise interventions have positive effects on depression and depressive symptoms among community-dwelling older adults in the United States. Future exercise studies with rigorous research designs are needed to establish longitudinal effects and target communities with more racially and culturally diverse populations. Motivational strategies supported by theories could also be used to enhance exercise behavior and adherence to an exercise program of older adults.


  • Akincigil, A., Olfson, M., Siegel, M., Zurlo, K.A., Walkup, J.T. & Crystal, S. (2011). Racial and ethnic disparities in depression care in community-dwelling elderly in the United States. American Journal of Public Health, 102, 319–328. doi:10.2105/AJPH.2011.300349 [CrossRef]
  • Ayuso-Mateos, J.L., Nuevo, R., Verdes, E., Naidoo, N. & Chatterji, S. (2010). From depressive symptoms to depressive disorders: The relevance of thresholds. British Journal of Psychiatry, 196, 365–371. doi:10.1192/bjp.bp.109.071191 [CrossRef]
  • Banez, C., Tully, S., Amaral, L., Kwan, D., Kung, A., Mak, K. & Alibhai, S.M. (2008). Development, implementation, and evaluation of an interprofessional falls prevention program for older adults. Journal of the American Geriatrics Society, 56, 1549–1555. doi:10.1111/j.1532-5415.2008.01790.x [CrossRef]
  • Blake, H., Mo, P., Malik, S. & Thomas, S. (2009). How effective are physical activity interventions for alleviating depressive symptoms in older people? A systematic review. Clinical Rehabilitation, 23, 873–887. doi:10.1177/0269215509337449 [CrossRef]
  • Bonura, K.B. & Tenenbaum, G. (2014). Effects of yoga on psychological health in older adults. Journal of Physical Activity & Health, 11, 1334–1341. doi:10.1123/jpah.2012-0365 [CrossRef]
  • Caspersen, C.J., Powell, K.E. & Christenson, G.M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100, 126–131.
  • Centers for Disease Control and Prevention. (2013). The state of mental health and aging in American. Retrieved from
  • Centers for Disease Control and Prevention. (2015). Depression is not a normal part of growing older. Retrieved from
  • Chao, Y.Y., Scherer, Y.K., Wu, Y.W., Lucke, K.T. & Montgomery, C.A. (2013). The feasibility of an intervention combining self-efficacy theory and Wii Fit exergames in assisted living residents: A pilot study. Geriatric Nursing, 34, 377–382. doi:10.1016/j.gerinurse.2013.05.006 [CrossRef]
  • Chi, I., Jordan-Marsh, M., Guo, M., Xie, B. & Bai, Z. (2013). Tai chi and reduction of depressive symptoms for older adults: A meta-analysis of randomized trials. Geriatrics and Gerontology International, 13, 3–12. doi:10.1111/j.1447-0594.2012.00882.x [CrossRef]
  • Conn, V.S. (2010). Depressive symptom outcomes of physical activity interventions: Meta-analysis findings. Annals of Behavioral Medicine, 39, 128–138. doi:10.1007/s12160-010-9172-x [CrossRef]
  • Conner, K.O., Copeland, V.C., Grote, N.K., Koeske, G., Rosen, D., Reynolds, C.F. & Brown, C. (2010). Mental health treatment seeking among older adults with depression: The impact of stigma and race. American Journal of Geriatric Psychiatry, 18, 531–543. doi:10.1097/JGP.0b013e3181cc0366 [CrossRef]
  • Coughlin, S.S. & Smith, S.A. (2016). A review of community-based participatory research studies to promote physical activity among African Americans. Georgia Public Health Association, 5, 220–227.
  • Daley, A.J. (2002). Exercise therapy and mental health in clinical populations: Is exercise therapy a worthwhile intervention?Advances in Psychiatric Treatment, 8, 262–270. doi:10.1192/apt.8.4.262 [CrossRef]
  • Dantzer, R., O'Connor, J.C., Freund, G.G., Johnson, R.W. & Kelley, K.W. (2008). From inflammation to sickness and depression: When the immune system subjugates the brain. Nature Reviews: Neuroscience, 9, 46–56. doi:10.1038/nrn2297 [CrossRef]
  • Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E.K. & Lanctôt, K.L. (2010). A meta-analysis of cytokines in major depression. Biological Psychiatry, 67, 446–457. doi:10.1016/j.biopsych.2009.09.033 [CrossRef]
  • Eckstrom, E., Neal, M.B., Cotrell, V., Casey, C.M., McKenzie, G., Morgove, M.W. & Lasater, K. (2016). An interprofessional approach to reducing the risk of falls through enhanced collaborative practice. Journal of the American Geriatrics Society, 64, 1701–1707. doi:10.1111/jgs.14178 [CrossRef]
  • Eyigor, S., Karapolat, H., Durmaz, B., Ibisoglu, U. & Cakir, S. (2009). A randomized controlled trial of Turkish folklore dance on the physical performance, balance, depression and quality of life in older women. Archives of Gerontology and Geriatrics, 48, 84–88. doi:10.1016/j.archger.2007.10.008 [CrossRef]
  • Farris, G., Sircar, M., Bortinger, J., Moore, A., Krupp, J.E., Marshall, J. & Mattison, M. (2017). Extension for community healthcare outcomes-care transitions: Enhancing geriatric care transitions through a multidisciplinary videoconference. Journal of the American Geriatrics Society, 65, 598–602. doi:10.1111/jgs.14690 [CrossRef]
  • Fiske, A., Wetherell, J.L. & Gatz, M. (2009). Depression in older adults. Annual Review of Clinical Psychology, 5, 363–389. doi:10.1146/annurev.clinpsy.032408.153621 [CrossRef]
  • Givens, J.L., Houston, T.K., Van Voorhees, B.W., Ford, D.E. & Cooper, L.A. (2007). Ethnicity and preferences for depression treatment. General Hospital Psychiatry, 29, 182–191. doi:10.1016/j.genhosppsych.2006.11.002 [CrossRef]
  • Hooks, R. & Roberts, J. (2007). Older peoples' personal care needs: An analysis of care provision: Care provision and the roles of key healthcare personnel. International Journal of Older People Nursing, 2, 263–269. doi:10.1111/j.1748-3743.2007.00083.x [CrossRef]
  • Howren, M.B., Lamkin, D.M. & Suls, J. (2009). Associations of depression with C-reactive protein, IL-1, and IL-6: A meta-analysis. Psychosomatic Medicine, 71, 171–186. doi:10.1097/PSY.0b013e3181907c1b [CrossRef]
  • Kandula, N.R., Kersey, M. & Lurie, N. (2004). Assuring the health of immigrants: What the leading health indicators tell us. Annual Review of Public Health, 25, 357–376. doi:10.1146/annurev.publhealth.25.101802.123107 [CrossRef]
  • Katigbak, C., Foley, M., Robert, L. & Hutchinson, M.K. (2016). Experiences and lessons learned in using community-based participa-tory research to recruit Asian American immigrant research participants. Journal of Nursing Scholarship, 48, 210–218. doi:10.1111/jnu.12194 [CrossRef]
  • Knapen, J., Vancampfort, D., Moriën, Y. & Marchal, Y. (2015). Exercise therapy improves both mental and physical health in patients with major depression. Disability and Rehabilitation, 37, 1490–1495. doi:10.3109/09638288.2014.972579 [CrossRef]
  • Köhler, O., Benros, M.E., Nordentoft, M., Farkouh, M.E., Iyengar, R.L., Mors, O. & Krogh, J. (2014). Effect of anti-inflammatory treatment on depression, depressive symptoms, and adverse effects: A systematic review and meta-analysis of randomized clinical trials. JAMA Psychiatry, 71, 1381–1391. doi:10.1001/jamapsychiatry.2014.1611 [CrossRef]
  • Kohut, M.L., McCann, D.A., Russell, D.W., Konopka, D.N., Cunnick, J.E., Franke, W.D. & Vanderah, E. (2006). Aerobic exercise, but not flexibility/resistance exercise, reduces serum IL-18, CRP, and IL-6 independent of beta-blockers, BMI, and psychosocial factors in older adults. Brain, Behavior, and Immunity, 20, 201–209. doi:10.1016/j.bbi.2005.12.002 [CrossRef]
  • Konak, H.E., Kibar, S. & Ergin, E.S. (2016). The effect of single-task and dual-task balance exercise programs on balance performance in adults with osteoporosis: A randomized controlled preliminary trial. Osteoporosis International, 27, 3271–3278. doi:10.1007/s00198-016-3644-1 [CrossRef]
  • Kramer, E.J., Kwong, K., Lee, E. & Chung, H. (2002). Cultural factors influencing the mental health of Asian Americans. Western Journal of Medicine, 176, 227–231.
  • Lavretsky, H., Alstein, L.L., Olmstead, R.E., Ercoli, L.M., Riparetti-Brown, M., Cyr, N.S. & Irwin, M.R. (2011). Complementary use of tai chi chih augments escitalopram treatment of geriatric depression: A randomized controlled trial. American Journal of Geriatric Psychiatry, 19, 839–850. doi:10.1097/JGP.0b013e31820ee9ef [CrossRef]
  • Matta Mello Portugal, E., Cevada, T., Sobral Monteiro-Junior, R., Teixeira Guimarães, T., da Cruz Rubini, E., Lattari, E. & Camaz Deslandes, A. (2013). Neuroscience of exercise: From neurobiology mechanisms to mental health. Neuropsychobiology, 68, 1–14. doi:10.1159/000350946 [CrossRef]
  • McCaffrey, R., Liehr, P., Gregersen, T. & Nishioka, R. (2011). Garden walking and art therapy for depression in older adults. Research in Gerontological Nursing, 4, 237–242. doi:10.3928/19404921-20110201-01 [CrossRef]
  • Moher, D., Liberati, A., Tetzlaff, J. & Altman, D.G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. doi:10.1371/journal.pmed.1000097 [CrossRef]
  • Muller, A.M., Khoo, S. & Morris, T. (2016). Text messaging for exercise promotion in older adults from an upper-middle-income country: Randomized controlled trial. Journal of Medical Internet Research, 18(1), e5. doi:10.2196/jmir.5235 [CrossRef]
  • Musanti, R. & Murley, B. (2016). Community-based exercise programs for cancer survivors. Clinical Journal of Oncology Nursing, 20, S25–S30. doi:10.1188/16.CJON.S2.25-30 [CrossRef]
  • Napoli, N., Shah, K., Waters, D.L., Sinacore, D.R., Qualls, C. & Villareal, D.T. (2014). Effect of weight loss, exercise, or both on cognition and quality of life in obese older adults. American Journal of Clinical Nutrition, 100, 189–198. doi:10.3945/ajcn.113.082883 [CrossRef]
  • National Institute on Aging. (2016). Exercise and physical activity. Retrieved from
  • National Institutes of Health. (2014). Quality assessment of controlled intervention studies. Retrieved from
  • Park, J., McCaffrey, R., Newman, D., Cheung, C. & Hagen, D. (2014). The effect of Sit ‘n’ Fit chair yoga among community-dwelling older adults with osteoarthritis. Holistic Nursing Practice, 28, 247–257. doi:10.1097/HNP.0000000000000034 [CrossRef]
  • Payne, J.K., Held, J., Thorpe, J. & Shaw, H. (2008). Effect of exercise on biomarkers, fatigue, sleep disturbances, and depressive symptoms in older women with breast cancer receiving hormonal therapy. Oncology Nursing Forum, 35, 635–642. doi:10.1188/08.ONF.635-642 [CrossRef]
  • Pinto, B.M., Dunsiger, S.I., Farrell, N., Marcus, B.H. & Todaro, J.F. (2013). Psychosocial outcomes of an exercise maintenance intervention after phase II cardiac rehabilitation. Journal of Cardiopulmonary Rehabilitation and Prevention, 33, 91–98. doi:10.1097/HCR.0b013e3182825531 [CrossRef]
  • Pope, L., Harvey-Berino, J., Savage, P., Bunn, J., Ludlow, M., Oldridge, N. & Ades, P. (2011). The impact of high-calorie-expenditure exercise on quality of life in older adults with coronary heart disease. Journal of Aging & Physical Activity, 19, 99–116. doi:10.1123/japa.19.2.99 [CrossRef]
  • Redwine, L.S., Tsuang, M., Rusiewicz, A., Pandzic, I., Cammarata, S., Rutledge, T. & Mills, P.J. (2012). A pilot study exploring the effects of a 12-week t'ai chi intervention on somatic symptoms of depression in patients with heart failure. Journal of Alternative and Complementary Medicine, 18, 744–748. doi:10.1089/acm.2011.0314 [CrossRef]
  • Resnick, B., Luisi, D. & Vogel, A. (2008). Testing the Senior Exercise Self-efficacy Project (SESEP) for use with urban dwelling minority older adults. Public Health Nursing, 25, 221–234. doi:10.1111/j.1525-1446.2008.00699.x [CrossRef]
  • Sjösten, N. & Kivelä, S.-L. (2006). The effects of physical exercise on depressive symptoms among the aged: A systematic review. International Journal of Geriatric Psychiatry, 21, 410–418. doi:10.1002/gps.1494 [CrossRef]
  • Sue, S., Cheng, J.K.Y., Saad, C.S. & Chu, J.P. (2012). Asian American mental health: A call to action. American Psychologist, 67, 532–544. doi:10.1037/a0028900 [CrossRef]
  • Tomasino, K.N., Lattie, E.G., Ho, J., Palac, H.L., Kaiser, S.M. & Mohr, D.C. (2017). Harnessing peer support in an online intervention for older adults with depression. American Journal of Geriatric Psychiatry, 25, 1109–1119. doi:10.1016/j.jagp.2017.04.015 [CrossRef]
  • Unützer, J. (2002). Diagnosis and treatment of older adults with depression in primary care. Biological Psychiatry, 52, 285–292. doi:10.1016/S0006-3223(02)01338-0 [CrossRef]
  • Ursua, R.A., Aguilar, D.E., Wyatt, L.C., Katigbak, C., Islam, N.S., Tandon, S.D. & Trinh-Shevrin, C. (2014). A community health worker intervention to improve management of hypertension among Filipino Americans in New York and New Jersey: A pilot study. Ethnicity & Disease, 24, 67–76.
  • Volkers, A.C., Nuyen, J., Verhaak, P.F. & Schel-levis, F.G. (2004). The problem of diagnosing major depression in elderly primary care patients. Journal of Affective Disorders, 82, 259–263. doi:10.1016/j.jad.2003.11.003 [CrossRef]
  • Wang, C., Bannuru, R., Ramel, J., Kupelnick, B., Scott, T. & Schmid, C.H. (2010). Tai chi on psychological well-being: Systematic review and meta-analysis. BMC Complementary and Alternative Medicine, 10, 1–16. doi:10.1186/1472-6882-10-23 [CrossRef]
  • Wang, F., Lee, E.-K.O., Wu, T., Benson, H., Fricchione, G., Wang, W. & Yeung, A.S. (2014). The effects of tai chi on depression, anxiety, and psychological well-being: A systematic review and meta-analysis. International Journal of Behavioral Medicine, 21, 605–617. doi:10.1007/s12529-013-9351-9 [CrossRef]
  • Wassink-Vossen, S., Collard, R.M., Oude Voshaar, R.C., Comijs, H.C., de Vocht, H.M. & Naarding, P. (2014). Physical (in)activity and depression in older people. Journal of Affective Disorders, 161, 65–72. doi:10.1016/j.jad.2014.03.001 [CrossRef]
  • Yoon, J.E., Lee, S.M., Lim, H.S., Kim, T.H., Jeon, J.K. & Mun, M.H. (2013). The effects of cognitive activity combined with active extremity exercise on balance, walking activity, memory level and quality of life of an older adult sample with dementia. Journal of Physical Therapy Science, 25, 1601–1604. doi:10.1589/jpts.25.1601 [CrossRef]

Summary of Included Studies (n = 10)

Study Design/SettingSampleIntervention Group (IG)Control Group (CG)Program DeliveryInstrumentMain Findings
Bonura & Tenenbaum (2014) RCT 2 community facilities for older adults, North FloridaN=106→98 (92.5% retention) Average Age: 77 (65–92)69.8% femaleIG1: Chair yoga, a modified Hatha yoga

5 minutes meditation

30 minutes asana (yogic physical exercises)

10 minutes pranayama (yogic breathing exercises) with mediation

IG2: Chair exercise, chair fitness sessions paralleled the physical movements selected for the chair yoga sessions
No treatmentIG1 & IG2: Class once/week, 45 minutes/session, for 6 weeks and 15-minute exercise instruction for at-home practice (handout)Attendance & Compliance: mean attendance and home exercise engagement were significantly differentGDS-30Test at 3 points:



1-month f/u

After controlling compliance (covariate), chair yoga group significantly improved more than both chair exercise and control groups in depression at post-test and 1 month f/u (p < 0.01)
Kohut et al. (2006) RCT Ames and Des Moines, IowaN=109 →87   IG1 55→40  IG2 54→47 (81.3% retention)Average Age: 70.1 (64–87)   IG1: 70.3   IG2: 69.8 65% femaleIG1: Cardiovascular exercise, treadmills, NuStep, an arm ergometer, AirDyne & other stationary bikes, a vertical climbing machine, cross trainers, & elliptical machinesIG2: Strength/flexibility/Balance exercise, yoga, Tai chi, Flex band, free hand weights, stability balls; Resistance training exercise, weight machineN/AIG1 & IG2: 3 times/week, 45 minutes/session for 10 monthsGDS-30Test at 2 points:


post test

Both groups had significant reductions in depression (p = 0.017)
Lavretsky et al. (2011) RCT Los Angeles, CaliforniaN=112 (baseline) At randomizationN=73→68   IG 36→33   CG 37→35 (93.2% retention) Average Age: 70.6   IG: 69.1   CG: 72Individuals with current episode of major depression 62% femaleTai chi Chih: 20 movements or Chi Gong exercises which incorporates meditation and physical activityHealth education program: education about depression, stress sleep & health-related issuesMedication treatment: All received 10–20mg oral Escitalpram daily for 16 weeks Behavioral treatment (IG & CG): At week 6, after randomization, once/week, 2-hour session for 10 weeks24-item HDRSTest at 7 points:


week 6

week 8

week 10

week 12

week 14


Both intervention groups demonstrated improvement in the severity of depression. Greater reductions in depressive symptom severity among those participating in the IG compared to CG group (p < 0.05).
McCaffrey et al. (2011) Quasi experimental designMixed method Pilot study The Morikami Museum and Japanese Gardens in Delray Beach, FloridaN=48→39   IG1 14→13   IG2 18→13   CG 16→13 (81.3% retention)Average Age: 74.3   IG1: 74.6   IG2: 73.9   CG: 74.3 Self-diagnosed (38.5%) or health care provider diagnosed (61.5%) depression 59% femaleIG1: Group walking and guided imagery group, walked together, and were prompted to reflect on thoughts about life and nature IG2: Independent walking group, walked the garden aloneArt therapy group led by certified art therapist, drawing a self-portrait and presenting their portrait to the entire groupIG1 & IG2:Walking 1–2 hours, twice/week for 6 weeks CG:The art therapy group met with a Twice/week for 6 weeksGDS-30 Test at 2 points:



All 3 groups had significant decreases in depression from pretest to posttest (p= 0.000). No significant differences were noted in depression between the groups over time (p = 0.09).
Park et al. (2014) Quasi experimental designA senior center in Broward County, FloridaN = 34→29   IG 23→22   CG 11→7 (85.3% retention) Average Age: 79 (62–92) Individuals having pain from osteoarthritis (OA) 76.5% Female 61.5% WhiteSit ‘N’ Fit Chair Yoga led by 2 certified yoga instructors. Chair-based yoga sessions incorporating the 4 aspects of regular yoga-physical postures, breathing, deep relaxation, & meditation while using the support of a chair.Health education, received general health education information and specific facts related to the effects of OAIG & CG: Program twice/week, 45 minutes/session for 8 weeksGDS -15 Test at 4 points:


week 4

week 8

1-month f/u

Chair yoga group showed a significantly greater decrease in depression (p = 0.007). Chair yoga group had significant greater improvement in depression over time than control group at fixed-effects model, but not the random-effects model. Positive effect on depression was sustainable for at least 1 month after the program.
Payne et al. (2008) RCTPilot test A National Cancer Institute in southeastern USN= 20→18   IG= 10→9   CG = 10→9 (90% retention) Average Age: 64.7 (56–78) Older women with breast cancer receiving hormonal therapy 100% female 90% WhiteHome-based moderate walking exercise, Educate how to use pedometer and logs to record the frequency and length of their walking activity.Usual care, standard interaction with nurses, physicians, and staffIG: 4 times/week, 20 minutes/session for 14 weeksCES-D Test at 4 points:


week 2

week 12

week 14

No significant differences in severity of depressive symptoms between groups or over time Approximately 30% of study participants in each group reported some depressive symptoms on the CES-D
Pinto et al. (2013) RCT Rhode Island & MassachusettsN = 130→96   IG = 64→44   CG = 66→52 (74.6% retention)Average Age: 63.6Patients who had completed a 12-week Phase II cardiac rehabilitation program20.8% female 93.8% WhiteMaintenance counseling:

6-month intervention: Received home logs to monitor exercise participation and a pedometer to wear during exercise activities that involved walking or running. Participants were mailed informational tip sheets on exercise and on cardiovascular health.

After 6-month intervention: Received phone calls about prompting and reinforcing regular exercise.

Personalized feedback letters summarizing the participant exercise progress and supporting motivation were sent at week 4, 8, 12, 16, and 20.

Contact control group:

Received phone calls about monitoring general health problems.

Received exercise tip-sheets after 12M test.


First 6 month: weekly over the first 2 months, biweekly for the next 2 months, and monthly for the last 2 months, a total of 14 calls

After 6 months: bimonthly phone calls

26-item cardiac depression scale Test at 3 points:


6 Month

12 Month

There was a significant between-group difference in mean cardiac depression at 12-month (p = .009).
Pope et al. (2011) RCTVermontN = 74→71   IG1 38→36   IG2: 36→35 (95.9% retention)Average Age: 64.9 (44–84)   IG1: 64.9  IG2: 63.9Overweight and obese adults with coronary heart disease, BMI ≥ 27kg/m2, and waist circumference > 110 cm (men) or 88 cm (women) 18.9% femaleHigh-calorie-expenditure (IG1) exercise: 5–7 times/week, 45–60 minutes/session, 50–60% peak VO2; walking was the preferred exercise modality, Exercise expenditure goal >3000–3500 kcal/week Standard cardiac rehabilitation (IG2): 3 times/week, 25–40 minutes/session. 55–70% peak VO2; treadmill walking (25 minutes) and 2 of 3 ergometers: cycle, rowing, or arm (8 minutes)N/AIG1 & IG2:

Counseling sessions led by a dietitian: 1 time/week, 1 hour/session for 20 weeks

4-month exercise

1-month weight-stabilization phase

GDS-15Test at 2 points:



There was no significant difference in depression score between the two groups after intervention (p = 0.053).Percent weight loss was associated with positive change in depression score.
Redwine et al. (2012) Quasi experimental design Pilot studyCaliforniaN=28→24   IG 16→12  CG 12→12 (85.7% retention) Average Age: 67 (43–83) IG: 72.6CG: 63.9Patients with Heart Failure (NYHA class II) 12.5% femaleTai Chi program led by Tai Chi instructor. Tai Chi Chuan Yang-style Short Form-first third (warm-up exercise & Tai Chi movement) Participants were asked to practice at home for 10–20 minutes per day, on days they were not attending the tai chi classes.Usual careIG: Twice/week, 60 minutes/session for 12 weeksBDI: total scores (BDI-t), BDI-somatic (BDI-s), BDI-cognitive (BDI-c) Test at 2 points:



After controlling age, gender, ejection fraction, and category of heart failure, Tai chi group had reduced BDI-s (p ≤0.017), but not BDI-c (p =0.50) scores from pre- to post-intervention than CG
Resnick et al. (2008) RCT, sites were randomized by geographic cluster13 senior centers in New York City, New YorkN =166→103   IG= 100→64   CG = 66→39 (62% retention) Average Age: 73   IG: 73.3   CG: 72.7 81% Female92.8% African American & Latino

Senior Exercise Self-efficacy Project (SESEP): a combined physical activity (stretching, resistance, and aerobic exercise activities) and efficacy-enhancing intervention by lay exercise trainers

Written materials were modified for a low-literacy and bilingual Spanish/English population.

The aerobic component of the intervention included culturally relevant dance activities.

Routine activities and nutrition coursesIG & CG: Twice/week, 1–1.5 hour/session for 12 weeksGDS-5 Test at 2 points:


posttest (2–4 weeks after intervention)

SESEP group had significantly fewer depressive symptoms after intervention than CG (p= 0.02).

Quality Assessment of Selected Studies

ReferenceRandomized AssignmentConcealment MethodInvestigator Kept BlindGroups Similar at BaselineDrop-out RateIntention-to-treat Analysis
Bonura & Tenenbaum (2014)YesNot reportedNot reportedYes7.5%Not reported
Kohut et al. (2006)YesNot reportedYesThere were significantly greater number of subjects in the one intervention group treated with daily aspirin than the other group18.7%Not reported
Lavretsky et al. (2011)YesYesYesYes6.8%Yes
McCaffrey et al. (2011)YesYesNot reportedYes18.7%Not reported
Park et al. (2014)Yes Participant with moderate to severe AD were excluded for randomizationYesNot reportedNot reported Participants with moderate and severe AD assigned to Intervention group14.7%Not reported
Payne et al. (2008)YesNot reportedNot reportedNot reported10%Not reported
Pinto et al. (2013)YesYesNot reportedYes25.4%Yes
Pope et al. (2011)YesYesNot reportedYes4.1%Not reported
Redwine et al. (2012)NoNANAYes14.3%NA
Resnick et al. (2008)YesYesNot reportedYes38%Not reported

Dr. Seo is Assistant Professor, Hunter-Bellevue School of Nursing, Hunter College, The City University of New York, New York, New York; and Dr. Chao is Clinical Assistant Professor, School of Nursing, Rutgers, The State University of New Jersey, Newark, New Jersey.

The authors have disclosed no potential conflicts of interest, financial or otherwise.

The authors thank Thomas A. Gavin, Professor Emeritus, Cornell University, for help with English editing for this paper.

Address correspondence to Jin Young Seo, PhD, WHNP-BC, RN, Assistant Professor, Hunter-Bellevue School of Nursing, Hunter College, The City University of New York, 425 East 25th Street, New York, NY 10010; e-mail:

Received: January 20, 2017
Accepted: August 25, 2017
Posted Online: October 30, 2017


Sign up to receive

Journal E-contents