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Posts Tagged ‘geriatrics’


Stress and Anxiety

Writer and Curator: Larry H Bernstein, MD, FCAP

 

Introduction

This article follows immediately after two on diet and obesity and diet and exercise. The hypothalamus has been discussed in some detail, although There is more that needs to be said about glutamate receptors, which is a topic in itself. However, this material fits in place quite well.  There is a considerable amount of obesity, and exercise is limited by time and commitment.  The shrinking middle class and the working poor, and the unemployed poor as well, have a struggle to make ends meet, and with the divorce rates that we are seeing, it is stressful for a single mother to carry on a complete life as mother and caregiver, and it is not unusual to see one or both couples in a household, regardless of sex, to hold two jobs.  Students enter colleges for higher education and leave with significant debts.  Graduates with advanced degrees may have to compete with a crowd of qualified applicants for an academic position, or even for a job in technology.  In addition, there is an increase in stress related disorders in the   pre-school, elementary and middle school population.  We no longer have to read the front pages to learn that a violent act has been carried out somewhere, in some neighborhood in our great nation that has experienced a great civil war, two world wars, the Mc Carthy hearings, the Cold War, and Vietnam, and the Iraq War, all of which was accompanied by migrations, immigration, and outsourcing of jobs.  The following is another look at how we are adjusting.

 

Effectiveness of a meditation-based stress management program as an adjunct to pharmacotherapy in patients with anxiety disorder

Sang Hyuk Lee, Seung Chan Ahn, Yu Jin Lee, Tae Kyu Choi, et al.
J Psychosomatic Research 62 (2007) 189–195
http://dx.doi.org:/10.1016/j.jpsychores.2006.09.009

Objective: The objective of this study was to examine the effectiveness of a meditation-based stress management program in patients with anxiety disorder.
Methods: Patients with anxiety disorder were randomly assigned to an 8-week clinical trial of either a meditation-based stress management program or an anxiety disorder education program. The Hamilton Anxiety Rating Scale (HAM-A), the Hamilton Depression Rating Scale (HAM-D), the State–Trait Anxiety Inventory (STAI), the Beck Depression Inventory, and the Symptom Checklist- 90 — Revised (SCL-90-R) were used to measure outcome at 0, 2, 4, and 8 weeks of the program. Results: Compared to the education group, the meditation-based stress management group showed significant improvement in scores on all anxiety scales (HAM-A, P=.001; STAI state, P=.001; STAI trait, P=.001; anxiety subscale of SCL-90-R,P=.001) and in the SCL-90-R hostility subscale (P=.01). Findings on depression measures were inconsistent, with no significant improvement shown by subjects in the meditation-based stress management group compared to those in the education group. The meditation-based stress management group did not show significant improvement in somatization, obsessive–compulsive symptoms, and interpersonal sensitivity scores, or in the SCL-90-R phobic anxiety subscale compared to the education group. Conclusions: A meditation-based stress management program can be effective in relieving anxiety symptoms in patients with anxiety disorder. However, well-designed, randomized, and controlled trials are needed to scientifically prove the worth of this intervention prior to treatment.

 

Evidence and Potential Mechanisms for Mindfulness Practices and Energy Psychology for Obesity and Binge-Eating Disorder

Renee Sojcher, Susan Gould Fogerite, and Adam Perlman
Explore 2012; 8(5):271-276
http://dx.doi.org/10.1016/j.explore.2012.06.003

Obesity is a growing epidemic. Chronic stress produces endocrine and immune factors that are contributors to obesity’s etiology. These biochemical alsocan affect appetite and eating behaviors that can lead to binge-eating disorder. The inadequacies of standard care and the problem of patient noncompliance have inspired a search for alternative treatments. Proposals in the literature have called for combination therapies involving behavioral or new biological therapies. This manuscript suggests that mindbody interventions would be ideal for such combinations. Two mind body modalities, energy psychology and mindfulness meditation, are reviewed for their potential in treating weight loss, stress, and behavior modification related to binge-eating disorder.

Whereas mindfulness meditation and practices show more compelling evidence, energy psychology, in the infancy stages of elucidation, exhibits initially promising outcomes but requires further evidence-based trials. “Diets Don’t Work” has been a mantra repeated over and over in the media. In fact, in a 2006 study in which investigators compared several popular diets comprising either high carbohydrates, high protein, or high fat, they found a rapid regression of compliance after six months, to the extent that it did not matter which diet had initially been more effective. In another study, authors examined a combination of diet and exercise compared with diet alone and observed that 50% of their subjects in both groups regained the weight that they lost after one year, despite their having lost more weight with the combination therapy. Despite the failure of diet alone in most studies, strategies incorporating both diet and exercise can be effective: a Cochrane review on exercise for overweight or obesity concluded that exercise had a positive effect on body weight and cardiovascular risk factors and that this effect was enhanced by a combination of exercise with dietary interventions.

The authors of a more recent study found that the benefits of exercise in inducing weight loss may come through psychological pathways rather than through actual energy expenditure. These factors include self-regulation and self-efficacy, which may mediate the relationship between exercise and weight change. Psychological interventions, particularly behavioral therapy and CBT, have been shown to be effective, especially when combined with diet and exercise. However, these interventions are costly and require extensive clinical contact for long durations to achieve efficacy. The authors of a recent randomized controlled trial (RCT) with a three-year follow-up period looked at a new form of CBT that addresses patients’ overeating and low level of activity, as well as factors that impede weight maintenance, and found that this form of therapy did not result in improved weight maintenance. These authors concluded that CBT is not sufficiently effective in helping patients maintain their weight loss in the long term. Although 20% of people will not change their eating behaviors under stress, most do; approximately 40% will increase and 40% will decrease their eating.

The emotional eaters, who tend to increase food intake, are more likely to crave high-fat/sweet and rewarding comfort foods. The basis for this behavior is becoming understood to entail brain pathways that involve learning and memory of reward and pleasure. Habit formation and decreased cognitive control are also involved. These habits form the basis of BED. Binge eating occurs when a person eats larger amounts of food than normal in a short amount of time. It therefore involves a loss of control and is often precipitated by a range of negative emotions, such as anxiety, depression, anger, and loneliness. Overweight subjects may or may not be characterized as binge eaters.

The stress response, also known as the “fight or flight response,” involves the interaction of the autonomic nervous system, which includes the sympathetic and the parasympathetic nervous systems, the hypothalamic pituitary adrenal axis and endocrine secretion. Together, these systems comprise neuro-endocrine pathways that collaborate to maintain the body’s regulation of homeostasis. This mechanism is very effective when stress is acute, but in the case of chronic stress, the effect can be injurious to one’s physiological state. Over time, chronic exposure to stress hormones contributes to“ allostatic load.” The stress hormones released by the body, mostly cortisol, can alter the body’s fuel metabolism, especially by adipose tissue, leading to an increase in upper-body obesity. Furthermore, hormones such as leptin, ghrelin, and neuropeptide Y can affect appetite and cause changes in fat mass storage. This results in the linking of stress and obesity.

Given the limited success of conventional approaches and the new information about the psychological and physiological mechanisms underlying obesity, we propose that a specific sub-group of mind-body therapies, including energy psychology and mindfulness-based approaches, could add an important new dimension to the integrative treatment of eating disorders. Energy psychology refers to a family of therapies that are used for treating physical disorders and psychological symptoms, which includes Thought Field Therapy, Emotional Freedom Techniques (EFT), Eye Movement Desensitization and Reprocessing, and Tapas Acupressure Technique (TAT). These therapies incorporate concepts originating from non-Western healing and spiritual systems, including acupuncture, acupressure, yoga, meditation, and qigong, and they combine physical activity with mental activation on the basis of the premise that the body is composed of electrical signals or energy fields. Energy psychology has been quite controversial among psychotherapists and has been the subject of much heated debate in the literature. Nonetheless, the clinical application of these practices is growing and is beginning to be investigated for efficacy. Mindfulness-Based Eating Awareness Training (ie,MB-EAT) involves the cultivation of mindfulness, mindful eating, emotional balance, and self-acceptance.

A pilot trial of a six-week group curriculum for providing mindfulness training to obese individuals, called Mindful Eating and Living (ie,MEAL), showed significant increases in measures of mindfulness and cognitive restraint around eating and significant decreases in weight, eating disinhibition, bingeeating, depression, perceived stress, physical symptoms, negative affect ,and C-reactive protein. In a recent systematic review of eight studies, authors examined a variety of mindfulness techniques in treating eating disorders, including anorexia, bulimia, and BED. Because trial quality varied and sample sizes were small, the researchers concluded that mindfulness may be effective in treating eating disorders but that further research was needed. The authors noted, however, that all of the articles that met the study’s criterion reported positive outcomes for the mindfulness intervention. Two additional studies recently addressed the treatment of obesity with a combination of mindfulness strategies and ACT. Lillis et al. conducted a RCT on 87 subjects who had all completed at least a six-month weight loss program. Using a wait list control against treatment of the experimental group through a one-day workshop, the authors found that, compared with the control group, the experimental group showed greater improvements in obesity-related stigma, quality of life, psychological distress, and reduction of body mass in a three-month follow-up. Alberts et al. conducted an RCT on 19 participants in a 10-week dietary group treatment that examined the effect of mindfulness plus ACT on food cravings. Experimental subjects underwent an additional seven-week, manual-based mindfulness/acceptance training. The control group received information on healthy food choices. The experimental group showed significantly lower food cravings, a lower preoccupation with food in four subscales, less loss of control, and better positive outcome expectancy, as compared with the control group. There was no significant effect observed for emotional craving. The authors of both of these studies conclude that mindfulness strategies combined with acceptance are effective in reducing the behaviors that lead many obese patients to overeat. With regards to stress, mindfulness can reduce psychological factors that have been shown to contribute to obesity.

In a recent well conducted systematic review, Mars and Abbey examined 22 studies with conditions ranging from participants with Axis I disorders, various diagnosed medical disorders, and healthy subjects. Axis I disorders include a range of psychopathologies such as childhood developmental and adjustment abnormalities, adult anxiety, and mood, sleep, and sexual disorders. Subjects with BED are known to have greater comorbidity forAxis I disorders. The authors report that five studies examining Axis I disorders showed statistically significant results for an eight-week, two hours per week MBCT program in reducing psychological stress, recurring bouts of depression, and pain. They conclude that, despite some methodological difficulties in the trials, mindfulness therapy may have a positive impact on reducing stress and depression. Despite increasing public awareness of obesity’s detrimental effects on health, the conventional approaches to managing this condition have not been effective. The recommended standard care for overweight and obesity, namely diet and exercise, are for the most part ineffective in the long term. Behavioral therapy and CBT may have some effect but are costly and difficult to implement. Issues with bariatric surgery and pharmacological therapies attributable to cost and the potential for harm, as well as lack of long-term efficacy, have limited their utility.

The effectiveness of a stress coping program based on mindfulness meditation on the stress, anxiety, and depression experienced by nursing students in Korea

Yune Sik Kang, So Young Choi, Eunjung Ryu
Nurse Education Today 29 (2009) 538–543
http://dx.doi.org:/10.1016/j.nedt.2008.12.003

This study examined the effectiveness of a stress coping program based on mindfulness meditation on the stress, anxiety, and depression experienced by nursing students in Korea. A nonequivalent, control group, pre-posttest design was used. A convenience sample of 41 nursing students were randomly assigned to experimental (n=21) and control groups (n=20). Stress was measured with the PWI-SF(5-point) developed by Chang. Anxiety was measured with Spieberger’s state anxiety y inventory. Depression was measured with the Beck depression inventory. The experimental group attended 90-min sessions for eight weeks. No intervention was administered to the control group. Nine participants were excluded from the analysis because they did not complete the study due to personal circumstances, resulting in16 participants in each group for the final analysis. Results for the two groups showed

(1) a significant difference in stress scores (F=6.145,p=0.020),

(2) a significant difference in anxiety scores (F=6.985,p=0.013), and

(3) no significant difference in depression scores (t=1.986,p=0.056).

A stress coping program based on mindfulness meditation was an effective intervention for nursing students to decrease their stress and anxiety, and could be used to manage stress in student nurses. In the future, long-term studies should be pursued to standardize and detail the program, with particular emphasis on studies to confirm the effects of the program in patients with diseases, such as cancer.

 

 

Meditation and Anxiety Reduction: A Literature Review

M. M. Delmonte Clin
Psychol Rev 1985; 5: 91-102
Meditation is increasingly being practiced as a therapeutic technique. The effects of practice on psychometrically assessed anxiety levels has been extensively researched. Prospective meditators tend to report above average anxiety. In general, high anxiety levels predict a subsequent low frequency of practice. However, the evidence suggests that those who practice regularly tend to show significant decreases in anxiety. Meditation does not appear to be more effective than comparative interventions in reducing anxiety. There is evidence to suggest that hypnotizability and expectancy may both play a role in reported anxiety decrease. Certain individuals with a capacity to engage in autonomous self-absorbed relaxation, may benefit most from meditation.

 

Meta-analysis on the effectiveness of mindfulness-based stress reduction therapy on mental health of adults with a chronic disease: What should the reader not make of it?

Ernst Bohlmeijer, Rilana Prenger, ErikTaal
Letters to the Editor/J Psychosom Res 69 (2010) 613–615
http://dx.doi.org:/10.1016/j.jpsychores.2010.09.005

In a letter to the editor, Nyklíček et al. discuss the study of Bohlmeijer et al. [1]on the meta-analysis on the effectiveness of mindfulness-based stress reduction (MBSR) therapy on mental health of adults with a chronic disease. They claim that the effects of MBSR are underestimated in this meta-analysis due to the inclusion of a study using an active education support group as control group and to the omission of some subscales for which larger effect sizes have been found. We do not agree that the study using an active education support group as a control group should not have been included in the meta-analysis. It is a common procedure to include studies with various types of control groups, e.g., waiting-list, placebo, minimal interventions, or evidence-based treatment. Normally, subgroup analyses can be conducted, contrasting studies that use differen ttypes of control groups. As seven studies used a waiting-list control condition and only one study used an education support group, this subgroup comparison was not useful. However, when we conducted a meta-analysis of the seven RCTs using a waiting-list control group an overall effect size of 0.30 instead of 0.26 was found. In addition, it is often found in meta-analyses that the largest effect sizes are reported in studies that use waiting-list control groups, e.g. ,Refs.[2,3]. The fact that almost all studies included in our meta-analysis in fact used waiting-list control groups makes it unlikely that the effects of MBSR were underestimated. As to the second claim by Nyklíček e tal.that some outcomes were selectively omitted from the meta-analysis, we can state that the subscales of the POMS were included in the meta-analysis.The program that was used in our study, Comprehensive Meta-Analysis, combined the scales that measure the same outcome, e.g., anxiety in one study. So the larger effects sizes for the subscales of the POMS were included in the meta-analysis. Lastly, Nyklíčeketal. State that ‘decentering’ is not an exclusive process of MBCT but is a central feature of MBSR as well. MBCT was specifically developed for people with recurrent depression and on the basis of a thorough analysis of the role of specific cognitions in people with recurrent depression. In ouropinion, this may explain the large effect sizes that have been found in randomized controlled trials, e.g., [4]. In general, other studies have shown that integrating MBSR in behavioral therapy is a very promising strategy for enhancing the efficacy of treatments of psychological  distress[5,6]. However, more studies with different target groups are needed to answer the question as to which mindfulness-based intervention is most effective for which target group in which setting. Overall, in response to the letter to the editor by Nyklíček et al. we cannot corroborate their claim that the effects of MBSR were underestimated and have to stand with our conclusion that, on the basis of current RCTs, MBSR has small leffects on depression and anxiety in people with chronic medical diseases.

[1] BohlmeijerET, PrengerR, TaalE, CuijpersP.
The effects of mindfulness-based stress reduction therapy on the mental health of adults with a chronic medical disease: A meta-analysis.
JPsychosom Res 2010; 68:539–44.

[2]Powers MB, Zum Vörde Sive Vörding MB, Emmelkamp PMG.
Acceptance and commitment therapy: A meta-analytic review.
Psychoth Psychosom 2009; 78:73–80.

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Diet and Exercise

Writer and Curator: Larry H. Bernstein, MD, FCAP 

 

Introduction

In the last several decades there has been a transformation in the diet of Americans, and much debate about obesity, type 2 diabetes mellitus, hyperlipidemia, and the transformation of medical practice to a greater emphasis on preventive medicine. This occurs at a time that the Western countries are experiencing a large portion of the obesity epidemic, which actually diverts attention from a larger share of malnutrition in parts of Africa, Asia, and to a greater extent in India. This does not mean that obesity or malnutrition is exclusively in any parts of the world. But there is a factor at play that involves social factors, poverty, education, cognition, anxiety, and eating behaviors, food preferences and food balance, and activities of daily living. The epidemic of obesity also involves the development of serious long term health problems, such as, type 2 diabetes mellitus, sarcopenia, fracture risk, pulmonary disease, sleep apnea in particular, and cardiovascular and stroke risk. Nevertheless, this generation of Western society is also experiencing a longer life span than its predecessors. In this article I shall explore the published work on diet and exercise.

 

‘‘Go4Life’’ exercise counseling, accelerometer feedback, and activity levels in older people

Warren G. Thompson, CL Kuhle, GA Koepp, SK McCrady-Spitzer, JA Levine
Archives of Gerontology and Geriatrics 58 (2014) 314–319
http://dx.doi.org/10.1016/j.archger.2014.01.004

Older people are more sedentary than other age groups. We sought to determine if providing an accelerometer with feedback about activity and counseling older subjects using Go4Life educational material would increase activity levels. Participants were recruited from independent living areas within assisted living facilities and the general public in the Rochester, MN area. 49 persons aged 65–95(79.5 + 7.0 years) who were ambulatory but sedentary and overweight participated in this randomized controlled crossover trial for one year. After a baseline period of 2 weeks, group 1 received an accelerometer and counseling using Go4Life educational material (www.Go4Life.nia.nih.gov) for 24 weeks and accelerometer alone for the next 24 weeks. Group 2 had no intervention for the first 24 weeks and then received an accelerometer and Go4Life based counseling for 24 weeks. There were no significant baseline differences between the two groups. The intervention was not associated with a significant change inactivity, body weight, % body fat, or blood parameters (p > 0.05). Older (80–93) subjects were less active than younger (65–79) subjects (p = 0.003). Over the course of the 48 week study, an increase in activity level was associated with a decline in % body fat (p = 0.008). Increasing activity levels benefits older patients. However, providing an accelerometer and a Go4Life based exercise counseling program did not result in a 15% improvement in activity levels in this elderly population. Alternate approaches to exercise counseling may be needed in elderly people of this age range.

It is generally recommended that older adults be moderately or vigorously active for 150 min each week. A systematic review demonstrated that only 20–60% of older people are achieving this goal. These studies determined adherence to physical activity recommendations by questionnaire. Using NHANES data, it has been demonstrated that older people meet activity recommendations 62% of the time using a self-report questionnaire compared to 9.6% of the time when measured by accelerometry. Thus, objective measures suggest that older people are falling even more short of the goal than previously thought. Most studies have measured moderate and vigorous activity. However, light activity or NEAT (non-exercise activity thermogenesis) also has an important effect on health. For example, increased energy expenditure was associated with lower mortality in community-dwelling older adults. More than half of the extra energy expenditure in the high energy expenditure group came from non-exercise (light) activity. In addition to reduced total mortality, increased light and moderate activity has been associated with better cognitive function, reduced fracture rate (Gregg et al., 1998), less cardiovascular disease, and weight loss in older people. A meta-analysis of middle-aged and older adults has demonstrated greater all-cause mortality with increased sitting time. Thus, any strategy which can increase activity (whether light or more vigorous) has the potential to save lives and improve quality of life for older adults. A variety of devices have been used to measure physical activity.

A tri-axial accelerometer measures movement in three dimensions. Studies comparing tri-axial accelerometers with uniaxial accelerometers and pedometers demonstrate that only certain tri-axial accelerometers provide a reliable assessment of energy expenditure. This is usually due to failure to detect light activity. Since light activity accounts for a substantial portion of older people’s energy expenditure, measuring activity with a questionnaire or measuring steps with a pedometer do not provide an accurate reflection of activity in older people.

A recent review concluded that there is only weak evidence that physical activity can be improved. Since increasing both light and moderate activity benefit older people, studies demonstrating that physical activity can be improved are urgently needed. Since accelerometry is the best way to accurately assess light activity, we performed a study to determine if an activity counseling program and using an accelerometer which gives feedback on physical activity, can result in an increase in light and moderate activity in older people. We also sought to determine whether counseling and accelerometer feedback would result in weight loss, change in % body fat, glucose, hemoglobin A1c, insulin, and fasting lipid profile.

The main results of the study are both the experimental and control group lost weight (about 1 kg) at 6months (p = 0.04 and 0.02, respectively). The experimental group was less active at 6 months but not significantly while the control group was significantly less active at 6 months (p = 0.006) than at baseline. The experimental group had a modest decline in cholesterol (p = 0.03) and an improvement in Get Up & go time (p = 0.03) while the control group had a slight improvement in HgbA1c (p = 0.01). However, the main finding of the study was that there were no differences between the two groups on any of these variables. Thus, providing this group of older participants with an accelerometer and Go4Life based counseling resulted in no increase in physical activity, weight loss or change in glucose, lipids, blood pressure, or body fat. There were no differences within either group or between groups from 6 to 12 months on any of the variables (data not shown). While age was correlated with baseline activity, it did not affect activity change indicating that younger participants did not respond to the program better than older participants. Performance on the Get Up and Go test and season of the year did not influence the change in activity. There were no differences in physical activity levels at 3 or 9 months.

There was a significant correlation (r = -0.38, p = 0.006) between change in activity and change in body fat over the course of the study. Those subjects (whether in the experimental or control group) who increased their activity over the course of the year were likely to have a decline in % body fat over the year while those whose activity declined were likely to have increased %body fat. There was no correlation between change in activity and any of the other parameters including weight and waist circumference (data not shown).

Older adults are the fastest growing segment of the population in the US, but few meet the minimum recommended 30 min of moderate activity on 5 days or more per week (Centers for Disease Control and Prevention, 2002). Our study found that within the geriatric population, activity declines as people age. We saw a 2.4% decline per year cross-sectionally. This finding agrees with a recent cohort study (Bachman et al., 2014). In that study, the annual decline accelerated with increasing age. Thus, there is a need to increase activity particularly in the oldest age groups. The United States Preventive Services Task Force concluded that the evidence that counseling improves physical activity is weak (Moyer and US Preventive Services Task Force, 2012). The American Heart Association reached similar conclusions (Artinian et al., 2010). Thus, new ways of counseling older patients to counter the natural decline in activity with age are urgently needed.

Applying health behavior theory to multiple behavior change: Considerations and approaches

Seth M. Noar, Melissa Chabot, Rick S. Zimmerman
Preventive Medicine 46 (2008) 275–280
http://dx.doi.org:/10.1016/j.ypmed.2007.08.001

Background.There has been a dearth of theorizing in the area of multiple behavior change. The purpose of the current article was to examine how health behavior theory might be applied to the growing research terrain of multiple behavior change. Methods. Three approaches to applying health behavior theory to multiple behavior change are advanced, including searching the literature for potential examples of such applications. Results. These three approaches to multiple behavior change include

(1) a behavior change principles approach;

(2) a global health/behavioral category approach, and

(3) a multiple behavioral approach.

Each approach is discussed and explicated and examples from this emerging literature are provided. Conclusions. Further study in this area has the potential to broaden our understanding of multiple behaviors and multiple behavior change. Implications for additional theory-testing and application of theory to interventions are discussed.

Many of the leading causes of death in the United States are behavior-related and thus preventable. While a number of health behaviors are a concern individually, increasingly the impact of multiple behavioral risks is being appreciated. As newer initiatives funded by the National Institutes of Health and Robert Wood Johnson Foundation begin to stimulate research in this important area, a critical question emerges: How can we understand multiple health behavior change from a theoretical standpoint? While multiple behavior change interventions are beginning to be developed and evaluated, to date there have been few efforts to garner a theory-based understanding of the process of multiple health behavior change. Given that so little theoretical work currently exists in this area, our main purpose is to advance the conversation on how health behavior theory can help us to achieve a greater understanding of multiple behavior change. The approaches discussed have implications for both theory-testing as well as intervention design.

A critical question that must be asked, is whether there is a common set of principles of health behavior change that transcend individual health behaviors. This is an area where much data already exists, as health behavior theories have been tested across numerous health behaviors.The integration of findings from studies across diverse behavioral areas, is not what it could be. Godin and Kok (1996) reviewed studies of the TPB applied to numerous health-related behaviors. Across seven categories of health behaviors, they found TPB components to offer similar prediction of intention but inconsistent prediction of behavior.They concluded that the nature of differing health behaviors may require additional constructs to be added to the TPB, such as actual (versus perceived) behavioral control. Prochaska et al. (1994) examined decisional balance across stages of change for 12 health-related behaviors. Similar patterns were found across nearly all of these health behaviors, with the “pros” of changing generally increasing across the stages, the “cons” decreasing, and a pro/con crossover occurring in the contemplation or preparation stages of change. Prochaska et al. (1994) concluded that clear commonalties exist across these differing health behaviors which were examined in differing samples. Finally, Rosen (2000) examined change processes from the TTM across six behavioral categories, examining whether the trajectory of change processes is similar or different across stages of change in those health areas. He found that for smoking cessation, cognitive change processes were used more in earlier stages of change than behavioral processes, while for physical activity and dietary change, both categories of change processes increased together.

A second approach is the following: Rather than applying theoretical concepts to specific behaviors, such concepts might be applied at the general or global level. A general orientation toward health may not lead directly to specific health behaviors, but it may increase the chances of particular health-related attitudes, which may in turn lead to specific health behaviors. In fact, although Ajzen and Timko (1986) found general health attitudes to be poor predictors of behavior, such attitudes were significantly related to specific health attitudes and perceived behavioral control over specific behaviors. It is likely that when we consider multiple behaviors that we may discover an entire network of health attitudes and beliefs that are interrelated. In fact, studies of single behaviors essentially take those behaviors out of the multi-attitude and multi-behavioral context in which they are embedded. For instance, although attitudes toward walking may be a better predictor of walking behavior than attitudes toward physical activity, walking behavior is part of a larger “physical activity” behavioral category. While predicting that particular behavior may be best served by the specific measure, the larger category is both relevant and of interest. Thus, it may be that there are higher order constructs to be understood here.

A third approach is a multiple behavioral approach, or one which focuses on the linkages among health behaviors. It shares some similarities to the approach just described. Here the focus is more strictly on how particular  interventions were superior to comparison groups for 21 of 41 (51%) studies (3 physical activity, 7 diet, 11 weight loss/physical activity and diet). Twenty-four studies had indeterminate results, and in four studies the comparison conditions outperformed eHealth interventions. Conclusions: Published studies of eHealth interventions for physical activity and dietary behavior change are in their infancy. Results indicated mixed findings related to the effectiveness of eHealth interventions. Interventions that feature interactive technologies need to be refined and more rigorously evaluated to fully determine their potential as tools to facilitate health behavior change.

 

A prospective evaluation of the Transtheoretical Model of Change applied to exercise in young people 

Patrick Callaghan, Elizabeth Khalil, Ioannis Morres
Intl J Nursing Studies 47 (2010) 3–12
http://dx.doi.org:/10.1016/j.ijnurstu.2009.06.013

Objectives:To investigate the utility of the Transtheoretical Model of Change in predicting exercise in young people. Design: A prospective study: assessments were done at baseline and follow-up 6 months later. Method: Using stratified random sampling 1055 Chinese high school pupils living in Hong Kong, 533 of who were followed up at 6 months, completed measures of stage of change (SCQ), self-efficacy (SEQ), perceptions of the pros and cons of exercising (DBQ) and processes of change (PCQ). Data were analyzed using one-way ANOVA, repeated measures ANOVA and independent sample t tests.
Results:The utility of the TTM to predict exercise in this population is not strong; increases in self-efficacy and decisional balance discriminated between those remaining active at baseline and follow-up, but not in changing from an inactive (e.g.,Precontemplation or Contemplation) to an active state (e.g.,Maintenance) as one would anticipate given the staging algorithm of the TTM.
Conclusion:The TTM is a modest predictor of future stage of change for exercise in young Chinese people. Where there is evidence that TTM variables may shape movement over time, self-efficacy, pros and behavioral processes of change appear to be the strongest predictors

 

A retrospective study on changes in residents’ physical activities, social interactions, and neighborhood cohesion after moving to a walkable community

Xuemei Zhu,Chia-Yuan Yu, Chanam Lee, Zhipeng Lu, George Mann
Preventive Medicine 69 (2014) S93–S97
http://dx.doi.org/10.1016/j.ypmed.2014.08.013

Objective. This study is to examine changes in residents’ physical activities, social interactions, andneighbor-hood cohesion after they moved to a walkable community in Austin, Texas.
Methods. Retrospective surveys (N=449) were administered in 2013–2014 to collect pre-and post-move data about the outcome variables and relevant personal, social, and physical environmental factors. Walkability of each resident’s pre-move community was measured using the Walk Score. T tests were used to examine the pre–post move differences in the outcomes in the whole sample and across subgroups with different physical activity levels, neighborhood conditions, and neighborhood preferences before the move. Results. After the move, total physical activity increased significantly in the whole sample and all subgroups except those who were previously sufficiently active; lived in communities with high walkability, social interactions, or neighborhood cohesion; or had moderate preference for walkable neighborhoods. Walking in the community increased in the whole sample and all subgroups except those who were previously sufficiently active, moved from high-walkability communities, or had little to no preference for walkable neighborhoods. Social interactions and neighborhood cohesion increased significantly after the move in the whole sample and all subgroups.
Conclusion.This study explored potential health benefits of a walkable community in promoting physically and socially active lifestyles, especially for populations at higher risk of obesity. The initial result is promising, suggesting the need for more work to further examine the relationships between health and community design using pre–post assessments.

 

Application of the transtheoretical model to identify psychological constructs influencing exercise behavior: A questionnaire survey

Young-Ho Kim
Intl J Nursing Studies 44 (2007) 936–944
http://dx.doi.org:/10.1016/j.ijnurstu.2006.03.008

Background: Current research on exercise behavior has largely been attempted to identify the relationship between psychological attributes and the initiation or adherence of exercise behavior based on psychological theories. A limited data are available on the psychological predictors of exercise behavior in public health. Objectives: The present study examined the theorized association of TTM of behavior change constructs by stage of change for exercise behavior. Methods: A total of 228 college students selected from 2 universities in Seoul were surveyed. Four Korean-version questionnaires were used to identify the stage of exercise behavior and psychological attributes of adolescents. Data were analyzed by frequency analysis, MANOVA, correlation analysis, and discriminant function analysis.
Results: Multivariate F-test indicated that behavioral and cognitive processes of change, exercise efficacy, and pros differentiated participants across the stages of exercise behavior. Furthermore, exercise behavior was significantly correlated with the TTM constructs, and that overall classification accuracy across the stages of change was 61.0%. Conclusions:The present study supports the internal and external validity of the Transtheoretical Model for explaining exercise behavior. As this study highlights, dissemination must increase awareness but also influences perceptions regarding theoretically based and practically important exercise strategies for public health professionals.

 

 

Does more education lead to better health habits? Evidence from the school reforms in Australia?

Jinhu Li, Nattavudh Powdthavee
Social Science & Medicine 127 (2015) 83-91
http://dx.doi.org/10.1016/j.socscimed.2014.07.021

The current study provides new empirical evidence on the causal effect of education on health-related behaviors by exploiting historical changes in the compulsory schooling laws in Australia. Since World War II, Australian states increased the minimum school leaving age from 14 to 15 in different years. Using differences in the laws regarding minimum school leaving age across different cohorts and across different states as a source of exogenous variation in education, we show that more education improves people’s diets and their tendency to engage in more regular exercise and drinking moderately, but not necessarily their tendency to avoid smoking and to engage in more preventive health checks. The improvements in health behaviors are also reflected in the estimated positive effect of education on some health outcomes. Our results are robust to alternative measures of education and different estimation methods.

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