Life-course leisure-time physical activity trajectories in relation to health-related behaviors in adulthood: the Cardiovascular Risk in Young Finns study.

BACKGROUND: Evidence on whether leisure-time physical activity (LTPA) facilitates individuals' adoption of multiple healthy behaviors remains scarce. This study investigated the associations of diverse longitudinal LTPA trajectories from childhood to adulthood with diet, screen time, smoking, binge drinking, sleep difficulties, and sleep duration in adulthood. METHODS: Data were drawn from the Cardiovascular Risk in Young Finns Study. Participants were aged 9-18 years (N = 3553; 51% females) in 1980 and 33-49 years at the latest follow-up in 2011. The LTPA trajectories were identified using a latent profile analysis. Differences in self-reported health-related behaviors across the LTPA trajectories were studied separately for women and men by using the Bolck-Croon-Hagenaars approach. Models were adjusted for age, body mass index, education level, marital status, total energy intake and previous corresponding behaviors. RESULTS: Persistently active, persistently low-active, decreasingly and increasingly active trajectories were identified in both genders and an additional inactive trajectory for women. After adjusting the models with the above-mentioned covariates, the inactive women had an unhealthier diet than the women in the other trajectories (p <  0.01; effect size (ES) > 0.50). The low-active men followed an unhealthier diet than the persistently and increasingly active men (p <  0.01; ES > 0.50). Compared to their inactive and low-active peers, smoking frequency was lower in the increasingly active women and men (p <  0.01; ES > 0.20) and persistently active men (p <  0.05; ES > 0.20). The increasingly active men reported lower screen time than the low-active (p <  0.001; ES > 0.50) and persistently active (p <  0.05; ES > 0.20) men. The increasingly and persistently active women reported fewer sleep difficulties than the inactive (p <  0.001; ES > 0.80) and low-active (p <  0.05; ES > 0.50 and > 0.80, respectively) women. Sleep duration and binge drinking were not associated with the LTPA trajectories in either gender, nor were sleep difficulties in men and screen time in women. CONCLUSIONS: Not only persistently higher LTPA but also an increasing tendency to engage in LTPA after childhood/adolescence were associated with healthier diet and lower smoking frequency in both genders, having less sleep difficulties in women and lower screen time in increasingly active men. Inactivity and low activity were associated with the accumulation of several unhealthy behaviors in adulthood. Associations were stronger in women.

Physical inactivity from youth to adulthood and adult cardiometabolic risk profile.

Adults with a low physical activity (PA) level are at increased risk for cardiometabolic diseases, but little is known on the association between physical inactivity since youth and cardiometabolic health in adulthood. We investigated the association of persistent physical inactivity from youth to adulthood with adult cardiometabolic risk factors. Data were drawn from the ongoing Cardiovascular Risk in Young Finns Study with seven follow-ups between 1980 and 2011 (baseline age 3-18 years, n = 1961). Physical activity data from a standardized questionnaire was expressed as a PA-index. Using the PA-index, four groups were formed: 1)persistently physically inactive (n = 246), 2)decreasingly active (n = 305), 3)increasingly active (n = 328), and 4)persistently active individuals (n = 1082). Adulthood cardiometabolic risk indicators included waist circumference, body mass index (BMI), blood pressure, and fasting lipids, insulin, and glucose. Clustered cardiometabolic risk was defined using established criteria for metabolic syndrome. Persistently physically inactive group was used as a reference. Compared to the persistently physically inactive group, those who were persistently active had lower risk for adult clustered cardiometabolic risk (RR = 0.67;CI95% = 0.53-0.84; Harmonized criteria), obesity (BMI > 30 kg/m2, RR = 0.76;CI95% = 0.59-0.98), high waist circumference (RR = 0.82;CI95% = 0.69-0.98), and high triglyceride (RR = 0.60;CI95% = 0.47-0.75), insulin (RR = 0.58;CI95% = 0.46-0.74) and glucose (RR = 0.77;CI95% = 0.62-0.96) concentrations as well as low high-density lipoprotein cholesterol (HDLC) concentration (RR = 0.78;CI95% = 0.66-0.93). Comparable results were found when persistently physically inactive individuals were compared with those who increased PA. The results remained essentially similar after adjustment for education, diet, smoking, and BMI. Persistently physically inactive lifestyle since youth is associated with an unfavorable cardiometabolic risk profile in adulthood. Importantly, even minor increase in PA lowers the cardiometabolic risk.

Associations of Leisure-Time Physical Activity Trajectories with Fruit and Vegetable Consumption from Childhood to Adulthood: The Cardiovascular Risk in Young Finns Study.

A physically active lifestyle and a diet rich in vegetables and fruits have a central role in promoting health. This study examined the associations between leisure-time physical activity (LTPA) trajectories and fruit and vegetable consumption (FVC) from childhood to middle age. The data were drawn from the Cardiovascular Risk in Young Finns Study with six age cohorts. Participants were 9 to 18 years (n = 3536; 51% females) at baseline in 1980 and 33 to 48 years at the last follow-up in 2011. LTPA and FVC were self-reported. LTPA trajectories were identified using latent profile analyses, after which the mean differences in FVC across the trajectories were studied. Active, low-active, decreasingly and increasingly active trajectories were identified for both genders. An additional trajectory describing inactivity was identified for females. Those who were persistently active or increased their LTPA had higher FVC at many ages when compared to their inactive or low-active counterparts (p < 0.05). In females prior to age 42 and in males prior to age 24, FVC was higher at many ages in those with decreasing activity than in their inactive or low-active counterparts (p < 0.05). The development of LTPA and FVC from childhood to middle age seem to occur in tandem.

Associations Between Trajectories of Leisure-Time Physical Activity and Television Viewing Time Across Adulthood: The Cardiovascular Risk in Young Finns Study.

BACKGROUND: The purpose of this study was to examine trajectories of leisure-time physical activity (LTPA) and television-viewing (TV) time and their associations in adults over 10 years. METHODS: The sample comprised 2934 participants (men, 46.0%) aged 24-39 years in 2001 and they were followed up for 10 years. LTPA and TV time were assessed using self-report questionnaires in 2001, 2007, and 2011. Longitudinal LTPA and TV-time trajectories and their interactions were analyzed with mixture modeling. RESULTS: Three LTPA (persistently highly active, 15.8%; persistently moderately active, 60.8%; and persistently low active, 23.5%) and 4 TV time (consistently low, 38.6%; consistently moderate, 48.2%; consistently high, 11.7%; and consistently very high, 1.5%) trajectory classes were identified. Persistently highly active women had a lower probability of consistently high TV time than persistently low-active women (P = .02), whereas men who were persistently highly active had a higher probability of consistently moderate TV time and a lower probability of consistently low TV time than their persistently low-active counterparts (P = .03 and P = .01, respectively). CONCLUSIONS: Maintaining high LTPA levels were accompanied by less TV over time in women, but not in men. The associations were partially explained by education, body mass index, and smoking.

Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review.

BACKGROUND: In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and outcomes) in the general population during different life phases. METHODS: The included studies used finite mixture models for identifying trajectories of PA, exercise, or sport participation. Three electronic databases, PubMed (Medline), Web of Science, and CINAHL, were searched from the year 2000 to 13 February 2018. The study was conducted according to the PRISMA recommendations. RESULTS: Twenty-seven articles were included and organized into three age group: youngest (eleven articles), middle (eight articles), and oldest (eight articles). The youngest group consisted mainly of youth, the middle group of adults and the oldest group of late middle-aged and older adults. Most commonly, three or four trajectory classes were reported. Several trajectories describing a decline in PA were reported, especially in the youngest group, whereas trajectories of consistently increasing PA were observed in the middle and oldest group. While the proportion of persistently physically inactive individuals increased with age, the proportion was relatively high at all ages. Generally, male gender, being Caucasian, non-smoking, having low television viewing time, higher socioeconomic status, no chronic illnesses, and family support for PA were associated either with persistent or increasing PA. CONCLUSIONS: The reviewed articles identified various PA subgroups, indicating that finite mixture modeling can yield new information on the complexity of PA behavior compared to studying population mean PA level only. The studies also provided novel information how different factors relate to changes in PA during life course. The recognition of the PA subgroups and their determinants is important for the more precise targeting of PA promotion and PA interventions. TRIAL REGISTRATION: PROSPERO registration number: CRD42018088120 .

Smoking and Physical Activity Trajectories from Childhood to Midlife.

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants' smoking and PA were assessed five to eight times over a 31-year period (3⁻18 years old at the baseline, 34⁻49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.

Is It Good To Be Good? Dispositional Compassion and Health Behaviors.

BACKGROUND: Despite the documented importance of dispositional compassions for a range of health-related outcomes, its role in predicting health behaviors remains unclear. PURPOSE: This study examined the associations between dispositional compassion and three domains of health behavior, including physical activity, alcohol use, and smoking. METHODS: The participants (N = 1,279-1,913) were from the Finnish population-based Young Finns study. We collected self-reports of compassion in 1997 and 2011 and health behaviors in 2001, 2007, and 2011. In addition, an objective pedometer measure of physical activity was collected in 2011. Linear and logistic regression models were fitted to estimate the cross-sectional and longitudinal associations between compassion and the health behavior outcomes. RESULTS: In a cross-sectional analysis, compassion was associated with having never smoked and a reduced likelihood of at-risk alcohol use and binge drinking. There was no robust association between compassion and physical activity. In longitudinal analyses over a 14-year period, the associations remained for at-risk alcohol use and binge drinking. CONCLUSIONS: Dispositional compassion may have a protective effect against unhealthy behaviors, especially excessive alcohol consumption.

Long-term determinants of changes in television viewing time in adults: Prospective analyses from the Young Finns Study.

PURPOSE: The long-term effects of sociodemographic and health characteristics on television viewing (TV) time changes have not been identified in adulthood. We aimed to examine the modifiable and non-modifiable determinants of changes in TV-time in young adults over 10 years. METHODS: Participants (N = 2929) aged 24-39 years were recruited between 2001 and 2011 from the Cardiovascular Risk in Young Finns Study. Data were collected using questionnaires and a medical examination. The determinants of changes in TV-time were estimated using latent growth modeling for men and women separately. RESULTS: For men, inverse associations with initial levels of TV-time were observed for students becoming employed and already has children, and direct associations were observed for both those who stayed a smoker and those who stayed overweight/obese. Increasing attention to health habits was inversely associated with a slope of TV-time, whereas age and becoming unemployed were positively associated with the slope of TV-time. For women, inverse associations with the levels of TV-time were found for age, staying in non-manual work, and paying consistently high and increasing attention to health habits, and direct associations were found for staying unemployed, smoking and overweight/obese, and becoming employed, single and non-smoking. Increasing physical activity, becoming employed, motherhood, and normal weight were inversely associated with the slope of TV-time, whereas age and staying in non-manual work were positively associated with the slope of TV-time. CONCLUSIONS: This suggests several gender-specific determinants of changes in TV-time that can help identify potential targets for interventions to prevent excessive TV-time in adulthood.

Lifestyle Risk Factors Increase the Risk of Hospitalization for Sciatica: Findings of Four Prospective Cohort Studies.

BACKGROUND: The purpose of this study is to assess the effects of lifestyle risk factors on the risk of hospitalization for sciatica and to determine whether overweight or obesity modifies the effect of leisure-time physical activity on hospitalization for sciatica. METHODS: We included 4 Finnish prospective cohort studies (Health 2000 Survey, Mobile Clinic Survey, Helsinki Health Study, and Young Finns Study) consisting of 34,589 participants and 1259 hospitalizations for sciatica during 12 to 30 years of follow-up. Sciatica was based on hospital discharge register data. We conducted a random-effects individual participant data meta-analysis. RESULTS: After adjustment for confounding factors, current smoking at baseline increased the risk of subsequent hospitalization for sciatica by 33% (95% confidence interval [CI], 13%-56%), whereas past smokers were no longer at increased risk. Obesity defined by body mass index increased the risk of hospitalization for sciatica by 36% (95% CI 7%-74%), and abdominal obesity defined by waist circumference increased the risk by 41% (95% CI 3%-93%). Walking or cycling to work reduced the risk of hospitalization for sciatica by 33% (95% CI 4%-53%), and the effect was independent of body weight and other leisure activities, while other types of leisure activities did not have a statistically significant effect. CONCLUSIONS: Smoking and obesity increase the risk of hospitalization for sciatica, whereas walking or cycling to work protects against hospitalization for sciatica. Walking and cycling can be recommended for the prevention of sciatica in the general population.

Trajectories of Physical Activity Predict the Onset of Depressive Symptoms but Not Their Progression: A Prospective Cohort Study.

This prospective, community-based study examined trajectories of physical activity from childhood to adulthood and whether these trajectories contributed to depressive symptoms in adulthood to a greater degree than adulthood physical activity. Participants (n = 3596) were from the ongoing Cardiovascular Risk in Young Finns Study which started in 1980. Depressive symptoms were measured with Beck Depression Inventory (BDI-II) in 2012, and physical activity was assessed from 1980 to 2011 with self-reports. Analyses were adjusted for age, sex, childhood negative emotionality, socioeconomic factors, previous depressive symptoms, social support, body mass index, and smoking status (1980-2007). Highly, moderately, and lightly physically active trajectory groups were identified. Highly active participants reported lower levels of depressive symptoms compared to lightly active ones (p < 0.001) and compared to moderately active ones (p = 0.001). Moderately active participants had less symptoms than lightly active ones (p < 0.001). High levels of adulthood physical activity associated with lower levels of depressive symptoms (p < 0.001). The findings did not withstand adjustment for previous depressive symptoms (p > 0.05). Lifelong physical activity trajectories or adulthood physical activity was not associated with the progression of depressive symptoms in adulthood. Thus, physical activity history does not contribute to the progression of the depressive symptoms to a greater degree than adulthood physical activity.

Leadership component of type A behavior predicts physical activity in early midlife.

BACKGROUND: Research on the long-term effects of Type A behavior and its components in the prediction of physical activity in adulthood is scarce and there is a lack of prospective data that are able to show such an association. PURPOSE: We examined the relations between components of Type A behavior and physical activity from youth to early midlife. METHOD: The sample included 2,031 participants (43.8% of males) aged 9 to 24 years in 1986 from the Young Finns Study. Type A behavior was measured by the Hunter-Wolf A-B Rating Scale at three phases in 1986, 1989, and 2001. Physical activity was assessed using a short self-report questionnaire at five phases between 1986 and 2007. RESULTS: High Type A leadership was associated with high physical activity in 1986 (r = 0.37, P < 0.01), 1989 (r = 0.36, P < 0.01) and 2001 (r = 0.31, P < 0.01), and youth leadership also predicted high adult physical activity (P < 0.001). After adjustment for age, education, occupation, smoking, body mass index, and baseline physical activity, the association remained significant. There was also a bidirectional association between Type A leadership and physical activity. Persistent physical activity during the adult years was associated with a higher Type A leadership than persistent physical inactivity (Cohen's d = 0.34, P < 0.001), even after controlling for potential confounders. The associations of other components of Type A behavior, i.e., hard-driving, eagerness-energy, and aggression with physical activity were marginal. CONCLUSION: There is a direct relation between Type A leadership and physical activity at different development phases that maybe bidirectional.

Cross-sectional associations between physical activity and selected coronary heart disease risk factors in young adults. The Cardiovascular Risk in Young Finns Study.

OBJECTIVE: Physical activity (PA) may reduce the risk of coronary heart disease (CHD) by inducing beneficial changes in several risk factors. We studied the associations between PA and a range of risk markers of CHD in young adults. METHODS AND RESULTS: We measured serum lipoproteins, oxidized LDL, adipokines, inflammatory markers, metabolic markers, and arginine metabolites in 2,268 individuals (age 24-39 y). Participants were asked frequency, duration, and intensity of PA in leisure time. In addition, commuting to work was assessed. In both sexes, PA was inversely associated with waist circumference (all P < 0.0001). After controlling for sex, age, and waist circumference, PA was directly associated with HDL-cholesterol and apolipoprotein A1, and inversely with heart rate, smoking, oxidized LDL, apolipoprotein B, insulin, glucose, C-reactive protein, leptin, L-arginine, and phospholipase A2 activity (all P < 0.05). CONCLUSION: These population-based data are consistent with the idea that the beneficial effects of PA on CHD risk are mediated by favorable influences on several risk factors, as judged by independent relations to markers of lipoprotein metabolism, glucose metabolism, and inflammation. These associations reflect beneficial effects on cardiovascular health in both sexes and may offer mechanistic insights for the inverse association between PA and CHD.

The longitudinal effects of physical activity history on metabolic syndrome.

PURPOSE: To examine the relationship of physical activity and its changes over a 9-yr follow-up to the prevalence of metabolic syndrome (MetS) in 2060 young adults (24-39 yr) enrolled in the Cardiovascular Risk in Young Finns Study. METHODS: Leisure-time physical activity (LTPA) was assessed using a self-report questionnaire completed in connection with a medical examination at two consecutive measurements in 1992 and 2001. By summing the LTPA items, a physical activity index (PAI) was formed for both measurement points according to which the participants were divided into tracking groups: persistently active, increasingly active, decreasingly active, and persistently inactive. MetS in 2001 was defined by the guidelines of the European Group for the Study of Insulin Resistance (EGIR), the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III), and the International Diabetes Federation (IDF). A continuous metabolic risk score was also calculated by summing the z-scores for the metabolic risk factors. RESULTS: There was a significant linear relationship between MetS and LTPA at baseline in men and at follow-up in both sexes according to all three definitions. Persistent physical activity during 9 yr was associated with a lower prevalence of MetS than persistent physical inactivity on all definitions (all P < 0.05). Similar results were found for increasingly active women (all P < 0.05). All of these associations remained significant after adjustment for potential confounders. In both men and women, the 9-yr change in LTPA was related to the metabolic risk score after adjustments for baseline LTPA, age, smoking, and education. CONCLUSIONS: A physically active lifestyle across the lifespan may prevent or delay the onset of metabolic syndrome in young male and female adults.