Predictors Of Health Behaviors Research Articles

Parental support of the Canadian 24-hour movement guidelines for children and youth: prevalence and correlates

BackgroundTo explore the prevalence of parental support for meeting the Canadian 24-Hour Movement Guidelines for Children and Youth, identify key interactive support profiles among the four movement behaviors, and investigate subsequent sociodemographic and social cognitive correlates of these profiles.MethodsA sample of Canadian parents (N = 1208) with children aged 5 to 17 years completed measures of the theory of planned behavior (TPB), and support of the four child movement behaviors via questionnaire. Differences in the proportion of parents supporting these four health behaviors were explored and demographic and social cognitive (attitude and perceived control) correlates of combinations of parental support for the four health behaviors were evaluated.ResultsChild and youth sleep behavior had the highest parental support (73%) and moderate to vigorous physical activity support had the lowest prevalence (23%). Interactive profiles of the four movement behaviors yielded six primary clusters and comprised wide variation from parents who supported none of these behaviors (19%), to parents who supported all four behaviors (14%). These profiles could be distinguished by the age of the child (younger children had higher support) and the gender of the parent (mothers provided more support), as well as constructs of the TPB, but TPB cognitions were more specific predictors of each health behavior rather than general predictors of aggregate health behavior clusters.ConclusionsTeenagers and fathers may represent key targets for parental support intervention of the 24-Hour Movement Guidelines. Intervention content may need to comprise the underlying foundations of attitude and perceived behavioral control to change parental support while considering the unique features of each health behavior to maximize related intervention effectiveness.

Health behaviours reported by adults with congenital heart disease across 15 countries.

Health behaviours are essential to maintain optimal health and reduce the risk of cardiovascular complications in adults with congenital heart disease. This study aimed to describe health behaviours in adults with congenital heart disease in 15 countries and to identify patient characteristics associated with optimal health behaviours in the international sample. This was a cross-sectional observational study. Adults with congenital heart disease (n = 4028, median age = 32 years, interquartile range 25-42 years) completed self-report measures as part of the Assessment of Patterns of Patient-Reported Outcomes in Adults with Congenital Heart disease - International Study (APPROACH-IS). Participants reported on seven health behaviours using the Health Behaviors Scale-Congenital Heart Disease. Demographic and medical characteristics were assessed via medical chart review and self-report. Multivariate path analyses with inverse sampling weights were used to investigate study aims. Health behaviour rates for the full sample were 10% binge drinking, 12% cigarette smoking, 6% recreational drug use, 72% annual dental visit, 69% twice daily tooth brushing, 27% daily dental flossing and 43% sport participation. Pairwise comparisons indicated that rates differed between countries. Rates of substance use behaviours were higher in younger, male participants. Optimal dental health behaviours were more common among older, female participants with higher educational attainment while sports participation was more frequent among participants who were younger, male, married, employed/students, with higher educational attainment, less complex anatomical defects and better functional status. Health behaviour rates vary by country. Predictors of health behaviours may reflect larger geographic trends. Our findings have implications for the development and implementation of programmes for the assessment and promotion of optimal health behaviours in adults with congenital heart disease.

Predicting Exercise With a Personality Facet: Planfulness and Goal Achievement

Establishing reliable predictors of health behavior is a goal of health psychology. A relevant insight from personality psychology is that facets can predict specific behaviors better than broad traits do. We hypothesized that we could predict physical activity with a facet of conscientiousness related to goal pursuit—planfulness. We measured the relationship between Planfulness Scale scores and physical activity in 282 individuals over a total of 20 weeks, using a piecewise latent growth curve model. We additionally tested whether planfulness uniquely relates to activity when compared with related constructs. Finally, ratings of participants’ written goals were correlated with these personality traits and physical activity. We found that planfulness was positively associated with average visits to a recreational center, that planfulness explained unique variance in activity, and that planfulness correlated with the descriptiveness of written goals. We conclude that the Planfulness Scale is a valid measurement uniquely suited to predicting goal achievement.

Subjective Well-Being and Health Behaviors in 2.5 Million Americans.

Happiness and health behavior are positively related, but most existing research does not distinguish between conceptually and empirically distinct components of subjective well-being-satisfaction with life, positive affect, and negative affect. We assessed the associations of each component of subjective well-being and health behavior, such as exercising and not smoking, in a broad, representative sample of nearly 2.5million respondents from the USA in the Gallup Daily Poll. We found that both life satisfaction and positive affect, but not negative affect, are unique predictors of health behavior, even after controlling for a wide range of variables, including demographics, chronic illness, daily stress and pain, and other relevant factors. Positive affect was linearly related to health behavior, while life satisfaction showed an association only for individuals relatively satisfied with their lives (but not for those dissatisfied with their lives). These associations were not moderated by various factors, occurring across gender and age, personal resources like time and money, and environmental affordances such as access to fresh food and safe places to exercise. The relationship between well-being and health behavior is robust and generalisable in a large cross-section of the US population.

Positive Orientation as a Predictor of Health Behavior during Chronic Diseases.

Background: Positive orientation includes optimism, self-esteem, and life satisfaction. This research was conducted to determine whether positive orientation is an important predictor of health behaviors of patients with chronic movement disorders which require a rehabilitation program. Methods: The study involved 93 patients, including 46 women (49.5%) and 47 men (50.5%). The study utilized a standardized Positive Orientation Scale and a Health Behavior Inventory to measure the intensity of health-promoting behaviors. Results: The two variables of age and positive orientation were found to be predictors of overall healthy behavior, explaining a total of 22% variance of the dependent variable. Age was a predictor of preventative behavior (β = 0.37; R2 = 0.16). Its share in the prediction of this variable was significant (16%). The highest predictive value of positive mental attitude was having a positive orientation (β = 0.42; R2 = 0.17), which explained 17% of the variance of the dependent variable. However, age explained 14% of the variability of health practice results (β = 0.39; R2 = 0.14). Conclusion: The results of the research indicate the need to implement preventive programs with a positive orientation to modify the health behavior of chronically ill male and female patients.

Concept analysis of adherence

Abstract Objective To explore the concept of adherence in the context of rehabilitation of patients with chronic illnesses. This concept analysis is helpful in predicting health behaviors and intentions including physical activity and dietary behaviors in patients with chronic illnesses. Methods The framework of Walker and Avant was used to analyze the concept of adherence. Results Adherence is defined as the extent to which a person’s behavior, such as taking medication, following a diet, and/or executing lifestyle changes, corresponds to agreed recommendations from a health-care provider. The antecedents of adherence are the biomedical status of the individual, social support, self-efficacy, and education. Self-report questionnaires and patient self-reporting are the most common measurement tools of adherence. Thus, the reliable and valid instrument of monitoring adherence in the clinical settings is challenging. Conclusions Analyzing the concept of adherence is necessary to help understand how best to promote adherence to improve health-related outcomes.

A meta-analysis of the health action process approach.

The health action process approach (HAPA) is a social-cognitive model specifying motivational and volitional determinants of health behavior. A meta-analysis of studies applying the HAPA in health behavior contexts was conducted to estimate the size and variability of correlations among model constructs, test model predictions, and test effects of past behavior and moderators (behavior type, sample type, measurement lag, study quality) on model relations. A literature search identified 95 studies meeting inclusion criteria with 108 independent samples. Averaged corrected correlations among HAPA constructs and multivariate tests of model predictions were computed using conventional meta-analysis and meta-analytic structural equation modeling, with separate models estimated in each moderator group. Action and maintenance self-efficacy and outcome expectancies had small-to-medium sized effects on health behavior, with effects of outcome expectancies and action self-efficacy mediated by intentions, and action and coping planning. Effects of risk perceptions and recovery self-efficacy were small by comparison. Past behavior attenuated the intention-behavior relationship. Few variations in model effects were observed across moderator groups. Effects of action self-efficacy on intentions and behavior were larger in studies on physical activity compared with studies on dietary behaviors, whereas effects of volitional self-efficacy on behavior were larger in studies on dietary behaviors. Findings highlight the importance of self-efficacy in predicting health behavior in motivational and volitional action phases. The analysis is expected to catalyze future research including experimental studies targeting change in individual HAPA constructs, and longitudinal research to examine change and reciprocal effects among constructs in the model. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Intensity of Health Behaviors in People Who Practice Combat Sports and Martial Arts.

Background: Health behaviors are associated with a healthy lifestyle, in which relative possibilities of choice play an important part. Athletes are a group of people who should particularly endeavor to have a health-oriented lifestyle. It is believed that combat sports (CS) and martial arts (MA) have an especially significant educational potential, connected with several desirable values which provide positive patterns of health behaviors. The aim of the work was to assess the intensity of health behaviors in athletes who practiced CS and MA in relation to the length of their training history, their age, sex, place of residence, education level, and financial situation. Methods: The research involved 441 men and women who practiced boxing (B), Brazilian ju-jitsu (BJJ), karate (K), mixed martial arts (MMA) and Muay Thai (MT). The average age of the subjects was 24.68 ± 8.24 years. The standardized Health Behavior Inventory (HBI) questionnaire and another questionnaire for a lifestyle survey were applied. Individual behaviors covered four areas: Correct eating habits (CEH), preventive behaviors (PB), positive mental attitude (PMA), and health practices (HP). The one-way analysis of variance (F-test) for independent groups was used (ANOVA). The effect size was calculated with Hedge’s g for Student’s t-test, and with Cramér’s V for the χ2 test. The value of p ≤ 0.05 was assumed to be statistically significant. Results: CS and MA athletes presented a moderate level of health behaviors. The greater intensity of health behaviors (HBI and its categories) was found among B, K and MMA athletes, and the smaller among those who practiced MT. Correct eating habits (CEH) were characteristic of subjects who practiced every day and whose length of training history was 4–8 years. Greater intensity of preventive behaviors (PB) was observed among individuals aged under-19 years, who still studied. Greater intensity of health practices (HP) was found among those who exercised every day. Influence of financial situation was observed in relations to PMA. Conclusions: It seems that the existing educational potential of CS and MA was not fully realized in the studied population. Determining the place of health in the system of values of CS and MA athletes may be the basis for predicting health behaviors and developing health education programs.

Assessment of two behavioural models (HBM and RANAS) for predicting health behaviours in response to environmental threats: Surface water flooding as a source of groundwater contamination and subsequent waterborne infection in the Republic of Ireland

Extreme weather events (EWEs) are increasing in frequency, posing a greater risk of adverse human health effects. As such, developing sociological and psychological based interventions is paramount to empowering individuals and communities to actively protect their own health. Accordingly, this study compared the efficacy of two established social-cognitive models, namely the Health Beliefs Model (HBM) and Risks-Attitudes-Norms-Abilities-Self-regulation (RANAS) framework, in predicting health behaviours following EWEs. Surface water flooding was used as the exemplar EWE in the current study, due to the increasing incidence of these events in the Republic of Ireland over the past decade. Levels of prior experience with flooding were considered for analyses and comparative tools included a number of variables predicting health behaviours and intervention potential scores (i.e. measure of impact of targeting each model element). Results suggest that the RANAS model provides a robust foundation for designing interventions for any level of experience with an extreme weather event, however, use of the simpler HBM may be more cost-effective among participants unacquainted with an EWE and in relatively infrequent health threat scenarios. Results provide an evidence base for researchers and policymakers to appropriately engage with populations about such threats and successfully promote spatiotemporally appropriate health behaviours in a changing climate.

Challenge and hindrance stressors and metabolic risk factors.

The current study investigates differential relationships between challenge and hindrance stressors and metabolic risk factors using data from the National Survey of Midlife Development in the United States (MIDUS II). Guided by the challenge-hindrance stressor model and the allostatic load model, we test two theoretically driven paths: a direct physiological path and an indirect path via health behaviors (i.e., high-risk eating, cigarette smoking, and alcohol consumption). Challenge stressors versus hindrance stressors were hypothesized to differentially predict health behaviors and metabolic risk factors. Results favor the health behavior-mediated pathway in comparison with the direct physiological pathway. High-risk food consumption served as a link between hindrance stressors and metabolic risk factors. Some evidence supported smoking as a link between hindrance stressors and metabolic risk factors, and alcohol consumption as a link between challenge stressors and metabolic risk factors. The pattern of findings supported the challenge-hindrance distinction, particularly in relation to health behaviors. By combining the challenge-hindrance and allostatic load literatures, our study theoretically and empirically extends knowledge of how work stressors relate to physiological outcomes. Moreover, we also extend the nomological network of challenge and hindrance stressors to behavioral and physiological outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Effect of health promotion and Whatsapp reminder to self-efficacy of the consumption of Fe tablets adherence among pregnant women

Maternal Mortality Rate (MMR) as an indicator of maternal health during pregnancy, childbirth, and childbirth. Anemia contributes 20% to the incidence of maternal deaths caused by bleeding during labor. The government prevents anemia by giving iron tablets at least 90 tablets for pregnant women. However, the prevalence of anemia remains high, because of the low adherence in consuming Fe tablets every day. Self-efficacy adherence is a predictor of health behavior and adherence to treatment.To improve adherence with self-efficacy in consuming Fe tablets in pregnant women with health promotion and WhatsApp reminder in Yogyakarta City Health Center.This study used a quasi-experiment method with a pre-test post-test non-equivalent control group design. The sample amounted to 59, the sampling technique used was consecutive sampling which was taken by random sampling technique in which samples were taken alternately to determine the intervention group and the control group.There were significant differences in the self efficacy score between the intervention groups (Mean = 6.30, SD = 8.11) and the control group (Mean = 0.89, SD = 7.83) with t-test = 2.60 and ρ = 0.012.There is a significant difference in self-efficacy adherence with consuming Fe tablets in pregnant women before and after being given health promotion and WhatsApp reminder intervention and control groups. Health service agencies can consider the combined service between health promotion and WhatsApp reminder to improve self-efficacy in adhering to consuming Fe tablets in increasing Hb levels in anemic pregnant women.

EFFECT OF HEALTH PROMOTION AND WHATSAPP REMINDER TO SELF EFFICACY OF ADHERENCE CONSUME FE TABLETS PREGNANT WOMEN

Background: Maternal Mortality Rate (MMR) as an indicator of maternal health during pregnancy, childbirth, and childbirth. Anemia contributes 20% to the incidence of maternal deaths caused by bleeding during labor. The government prevents anemia by giving iron tablets at least 90 tablets for pregnant women. However, the prevalence of anemia remains high, because of the low adherence in consuming Fe tablets every day. Self-efficacy adherence is a predictor of health behavior and adherence to treatment.Objective: To improve adherence with self-efficacy in consuming Fe tablets in pregnant women with health promotion and WhatsApp reminder in Yogyakarta City Health Center.Method: This study used a quasi-experiment method with a pre-test post-test non-equivalent control group design. The sample amounted to 59, the sampling technique used was consecutive sampling which was taken by random sampling technique in which samples were taken alternately to determine the intervention group and the control group.Results: There were significant differences in the self efficacy score between the intervention groups (Mean = 6.30, SD = 8.11) and the control group (Mean = 0.89, SD = 7.83) with t-test = 2.60 and ρ = 0.012.Conclusion: There is a significant difference in self-efficacy adherence with consuming Fe tablets in pregnant women before and after being given health promotion and WhatsApp reminder intervention and control groups. Health service agencies can consider the combined service between health promotion and WhatsApp reminder to improve self-efficacy in adhering to consuming Fe tablets in increasing Hb levels in anemic pregnant women.

Anxiety and Depression Predict the Paths Through Which Rumination Acts on Behavior: A Daily Diary Study

Introduction: Rumination—thinking passively, negatively, and repetitively—is a common cognitive process that is associated with poor health behaviors. Rumination impacts health behaviors through two distinct behavioral pathways: acting too quickly (impulsivity) or not acting at all (amotivation), though no research to date has examined the conditions under which rumination may manifest in these two disparate behavioral paths. The presence of anxiety and depression may lead to the behavioral manifestations of rumination, which may then differentially impact health behavior patterns. In this study, we tested whether individuals reporting anxiety who ruminate will then act impulsively and individuals reporting depression who ruminate will then not act in the context of their daily health behaviors. Methods: We recruited 285 college students (mean age = 19.3; 76.8% female; 79.4% Caucasian) and had them complete a baseline survey and an 11-day online daily diary to assess associations among anxiety, depression, rumination, and health behaviors. Results: Rumination predicted health behaviors through both impulsivity and amotivation as expected. Moderation models revealed that rumination in the context of anxiety leads to impulsivity and rumination in the context of depression leads to amotivation. Limitations: The undergraduate sample limits the generalizability of this data. Discussion: These results show that those who report depression or anxiety are likely to experience more daily rumination and the deleterious behavioral manifestations of that rumination, which then affects health behavior engagement or avoidance. Future behavioral health interventions can perhaps specifically target impulsivity among individuals reporting anxiety and amotivation among individuals reporting depression in order to promote more healthy behaviors.

Degree of reasoned action predicts increased intentional control and reduced habitual control over health behaviors

BackgroundResearch is needed to understand factors that attenuate the association between habits and health behavior performance. PurposeWe tested whether degree of reasoned action (DRA) moderates both intention-behavior and habit-behavior relations. DRA was defined by how well cognitions predict behavioral intentions, and was measured by the respective within-participants multiple correlation (R). MethodsFour studies were undertaken. Two pilot studies established the validity of our measure of DRA. Studies 1 (N = 663) and 2 (N = 1014) were prospective surveys of eight and six health behaviors, respectively. Intentions were measured via standard scales and habits were indexed by measures of frequency of performance × context stability. ResultsIn both studies, habits attenuated the predictive validity of intention. However, well-reasoned intentions better predicted health behaviors than poorly reasoned intentions, and habits offered weaker prediction of behavior when intentions were well reasoned. Three-way DRA × intention × habit interactions were also observed. Habits best predicted health behaviors when intentions were weak and poorly reasoned (Study 1), or offered poorest prediction of health behaviors when intentions were both strong and well-reasoned (Study 2). ConclusionsDegree of reasoned action predicts increased intentional control and reduced habitual control over multiple health behaviors.

The Impact of Work Organization, Job Stress, and Sleep on the Health Behaviors and Outcomes of U.S. Long-Haul Truck Drivers.

Background. Compared with other occupations, long-haul truck drivers (LHTD) engage in excessively unhealthy behaviors and experience disproportionately poor health outcomes. Health promotion efforts targeting LHTDs focus on improving individual-level behaviors; however, this occupation is replete with adverse work organization characteristics, high job stress, and compromised sleep health, which are hypothesized to cause poor health behaviors and outcomes among LHTDs. Therefore, the purpose of this study was to explore the connections between work characteristics, job stress, and sleep outcomes, and health behaviors and physical and mental health outcomes among LHTDs. Method. This was a cross-sectional study, using interviewer-administered surveys with LHTDs (n = 260). Bivariate correlation analysis was used to explore the associations among work organization, job stress, sleep health, and health behaviors and outcomes. Logistic regression analyses were used to determine whether these work organization, job stress, and sleep factors predicted health behaviors and outcomes. Results. Long work hours of more than 11 hours daily (odds ratio [OR] = 2.34) resulted in increased odds of high caffeine consumption. High job stress (OR = 0.48) and poor sleep quality (OR = 0.42) led to decreased odds for spending at least 1 hour daily for cooking/eating. Low sleep duration, less than 7 hours daily (OR = 2.55), led to increased odds of a physical health diagnosis. Both high job stress (OR = 3.58) and poor sleep quality (OR = 2.22) resulted in increased odds of a mental health diagnosis. Conclusion. Health promotion efforts targeting LHTDs need to be coupled with upstream policy, environmental, and systems-level change, especially at the governmental and trucking industry levels.

Trait Self-Control, Social Cognition Constructs, and Intentions: Correlational Evidence for Mediation and Moderation Effects in Diverse Health Behaviours.

We examined effects of trait self-control, constructs from social cognition theories, and intentions on health behaviours. Trait self-control was expected to predict health behaviour indirectly through theory constructs and intentions. Trait self-control was also predicted to moderate the intention-behaviour relationship. Proposed effects were tested in six datasets for ten health-related behaviours from studies adopting prospective designs. Participants (N=3,249) completed measures of constructs from social cognition theories and self-control at an initial time point and self-reported their behaviour at follow-up. Results revealed indirect effects of self-control on behaviour through social cognition constructs and intentions for eight behaviours: eating fruit and vegetables, avoiding fast food, dietary restrictions, binge drinking, physical activity, walking, out-of-school physical activity, and pre-drinking. Self-control moderated the intention-behaviour relationship in four behaviours: dietary restriction, and alcohol-related behaviours. Mediation effects suggest that individuals with high self-control are more likely to hold beliefs and intentions to participate in future health behaviour, and more likely to act. Moderation effects indicate that individuals with high self-control are more likely to enact healthy intentions and inhibit unhealthy intentions, but findings were restricted to few behaviours. Training self-control and managing contingencies that derail goal-directed action may be effective intervention strategies.

Applying Organizational Health Literacy to Maternal and Child Health.

Purpose Describe the development of an innovative teaching activity that applies organizational health literacy to maternal and child health (MCH). DescriptionHealth literacy is a strong predictor of health behavior and outcomes. While the study of health literacy has traditionally been confined to skills and capacities of individuals, the significant role of the social and physical environmental contexts in facilitating or hindering one's ability to obtain, understand, and make informed decision about their health has been recognized. MCH organizations play a critical role in influencing health literacy across system levels. This teaching activity aims to equip students with knowledge and skills needed to foster organizational health literacy. Assessment The teaching activity is assembled within a toolkit which includes the following: (1) instructor lesson plan; (2) interactive PowerPoint presentation with instructor notes; (3) field assignment description; (4) health literacy attribute assessment worksheets; and (5) grading rubric. The teaching tool was pilot tested by a student research team member to assess the educational value and assignment logistics, resulting in minor edits (i.e., addition of interviewer probes, and option of a group project-format to permit triangulation of multiple organizational interviews). Conclusion The field of MCH is expanding in complexity, and the demands of health systems on women, children, and families must be mediated by conscious efforts within organizations. Through teaching the importance and function of organizational health literacy to students in MCH, educators can prepare an emerging workforce to improve health literacy, and ultimately the quality of healthcare for women, children, and families.

Motivation in Health Behaviour: Role of Autonomous and controlled Motivation

Introduction: Self-Determination Theory (SDT) emphasizes effect of motivation quality (autonomous and controlled motivation) in influencing behaviour. SDT explains the involvement of motivation in many areas, particularly health behaviour. Purpose: This paper reviews the application of both autonomous and controlled motivation in predicting health behaviour in the literature. Methodology: Published journals or articles containing quantitative studies that applied either autonomous and controlled motivation or both as independent variables that predicted health behaviour were included in this review. Articles from the past ten years (2009 to 2018) were reviewed. Health behaviours were further categorised into illness treatment and recovery, reduced health risks, and general health. Findings: Review results indicated that autonomous motivation was consistently related to various health behaviours for short-and long-term. Controlled motivation was either insignificantly or negatively related to health behaviours. Implication: This paper adds to our understanding of the influences of motivation on health from the perspective of SDT. This paper also contributes to the healthcare literature by providing insights into the extent to which both types of motivation influence health behaviour.

Parents’ social norms and children’s exposure to three behavioral risk factors for chronic disease

Social norms predict health behaviors of adults and adolescents. We aimed to determine if parents’ beliefs about social norms were associated with children’s exposure to three behavioral risk factors. We asked 648 parents of children ages 0-18 years old attending two pediatric practices about their children’s exposure to smoking at home. Parents of 341 parents with children >2 years old were also asked about insufficient dental care, and 435 with children aged >12 months about their children’s sugar-sweetened beverage (SSB) consumption. Children were categorized as “at risk” or “not at risk” for each factor.The primary outcome was the parent-reported estimate of neighborhood prevalence of those same risk factors.Of eligible participants, 8% reported smoking at home, 23% that their child hadn’t seen a dentist for 6 months, and 35% that their child drank SSBs once a day or more. In multivariate analyses, parents with children in the “at risk” group estimated that the prevalence of each risk factor was higher in their neighborhood, than did participants with children in the “not at risk” group: difference of 12.2% [95% CI, 5.8%-18.6%] for tobacco-smoke exposure, 18.6% [95% CI, 10.7%-26.5%] for lack of regular dental visits and 12.1% [95% CI, 5.1%-19.0%] for SSB consumption (P<0.001 for all comparisons).Parents of children exposed to three behavioral risk factors reported higher perceived prevalence of each risk factor compared to parents of children not at risk. Addressing parents’ social norms beliefs could help promote healthier behaviors of children.

Present and future temporal profiles and their relationship to health intentions and behaviors: A test on a Norwegian general population sample.

We investigated the temporal profiles of a Norwegian general population sample and their relation to health behaviors and intentions. The profiles were based on variables from the present and future dimensions of the Zimbardo Time Perspective Inventory (ZTPI), the Consideration of Future Consequences Scale (CFCS), and the combination of both scales. The analysis revealed that there were only two stable clusters that corresponded to the present and the future profiles. Generally, CFCS-based present and future profiles were more effective at predicting health behaviors and intentions than ZTPI-based profiles. Profiles based on the CFCS variables were more predictive of eating behaviors. However, the profiles based on the combination of both CFCS and ZTPI were more predictive of smoking, exercising, and health intentions than the profiles based solely on the CFCS. The variation in walking was explained only by the profiles based on a combination of CFCS and ZTPI.