Relationship of leisure-time and household physical activity level and type with cardiovascular disease: secondary analysis of the Takashima Study data

Physical activity modification over time according to socioeconomic position: results from the EPIC-Italy cohort study

Objectives

Our study aimed to investigate how physical activity (PA) changes over an 11-year follow-up among adults from different socioeconomic positions (SEP) near retirement age. Moreover, an analysis of different PA types is considered.

Methods

We used data from the EPIC-Italy cohort. We evaluated PA using the Cambridge Physical Activity Index (CPAI) and the metabolic equivalent of tasks (MET) per hour of activity for recreational PA and household PA. Educational level was assessed using the Relative Index of Inequality (RII). Occupational classes were classified according to LIFEPATH Consortium knowledge. Logistic regression was used to analyse PA among SEP and changes during follow-up. Analyses were also conducted separately for sex.

Results

The higher educated were more prevalent in the higher quartile of recreational PA than the lower educated both at baseline and follow-up (37% vs 28% and 37% vs 27%, respectively). At the baseline, the lower educated had a higher risk of being physically inactive than the higher educated based on recreational PA (overall OR: 1.50, 95% CI 1.40 to 1.60). Manual workers did not show a higher risk of less PA than professionals/managers (overall OR: 1.03, 95% CI 0.91 to 1.16).At follow-up, the lower educated and manual workers showed a higher risk of being physically inactive (lower educated OR: 1.46, 95% CI 1.37 to 1.56; manual worker OR: 1.33, 95% CI 1.18 to 1.50). The analyses of changes in PA showed that those who were less educated or manual workers had a higher risk of worsening their PA during the follow-up period, particularly women in recreational PA and men in CPAI measurement.

Conclusion

Individuals who had a disadvantaged SEP showed a higher risk of performing less PA over time.

Household physical activity and subjective well-being: An international comparison among East Asian older adult populations

PURPOSE

Engaging in lifelong physical activity has multiple health benefits for older populations. Household physical activity occupies older adults' awake time, and they can be an important energy expenditure during the day. The purpose of this study was to investigate the association between older adults' household physical activity and subjective well-being in four East Asian societies.

METHODS

The study design was a secondary data analysis. Data were retrieved from the module of Families 2016 in the database of the East Asian Social Survey. Participants were community-dwelling older adults with a mean age of 70.30±7.50 years and who lived in China, Japan, Korea, and Taiwan. Data were collected by interviews via structured questionnaires between 2016 and 2018. Descriptive analyses, independent t-tests, and an analysis of covariance were performed for the statistical analyses.

RESULTS

In total, there were 3,432 valid responses. Participants who lived in Taiwan had significantly lower levels of total household physical activity than those living in other societies. Older adults' household physical activity was found to significantly differ by age, educational degree, gender, religion, marital status, occupation, and whether living alone. Older adults with high levels of household physical activity had significantly higher self-rated health and marital satisfaction than those with low levels.

CONCLUSIONS

Household physical activity has potential benefits for subjective well-being across international older adult populations. Increasing household physical activity is recommended for older married couples to maintain marital satisfaction.

The insufficiency of recreational exercises in improving cardiovascular fitness: an investigation of ventricular systolic and diastolic parameters and left atrial mechanical functions

AIM

This study aimed to compare the left ventricular (LV) systolic and diastolic parameters and left atrial (LA) mechanical functions of individuals engaging in recreational sports and resistance exercises on a weekly basis.

METHODS

A total of 43 male amateur athletes were included in this study, of which 24 performed resistance exercises (REs) (29.70 ± 8.74 year, weight: 81.70 ± 12.64 kg, height: 176.05 ± 7.73 cm, BMI: 27.64 ± 4.97 kg/m2), and 19 participated in recreational football training and were included in the recreational sports group (31.73 ± 6.82 year, weight: 86.00 ± 18.52 kg, height: 178.62 ± 4.95 cm, BMI: 25.55 ± 3.42 kg/m2). The exercises were standardized according to the weekly exercise frequency and volume. After recording the participants' demographic information, the LV systolic and diastolic parameters and LA mechanical functions were measured using echocardiography (ECHO) and Tissue Doppler Imaging.

RESULTS

Significant differences were observed in various cardiac parameters between the recreational sports group (REG) and resistance exercise Group (RSG). Specifically, the left ventricular (LV) diastolic diameter, LV end diastolic volume index (LVEDVi), and stroke volume index were notably higher in the REG compared to the RSG (t = 2.804, p = .010, effect size (ES) = 2.10; t = 3.174, p = .003, ES = 0.98; t = 3.36, p = .002, ES = 1.02, respectively). Notably, the RSG exhibited higher values for LV mass index (LVMi) and isovolumic relaxation time (IVRT) than the REG (t = 2.843, p = .007, ES = 0.87; t = 2.517, p = .016, ES = 0.76) in terms of LV systolic and diastolic parameters. Regarding left atrial (LA) mechanics, the REG demonstrated increased LA total emptying volume index, LA maximum volume index, LA volume before systole measured at the onset of the p-wave index, and conduit volume index compared to RSG (t = 2.419, p = .020, ES = 0.75; t = 2.669, p = .011, ES = 0.81; t = 2.111, p = .041, ES = 0.64; t = 2.757, p = .009, ES = 0.84, respectively).

CONCLUSION

Our study revealed significant variations in LV and LA functions between REG and RSG. Our data suggest that REs led to substantial cardiac remodeling, altering myocardial structure and function. In contrast, the effect of recreational exercise on cardiac adaptation was less pronounced than that of resistance exercise. Consequently, we propose that individuals engaging in recreational exercise should consider modalities that impose higher cardiovascular demand for more effective cardiac conditioning.

Associations of specific types of physical activities with 10-year risk of cardiovascular disease among adults: Data from the national health and nutrition examination survey 1999–2006

Background

Physical activity plays a key role in the prevention of cardiovascular disease (CVD). However, previous studies focused predominantly on the associations of the total amount of physical activity with CVD. There were few evidences on the associations of specific sport disciplines with CVD. Furthermore, little was known on the interactions between the different types of sports on CVD risk. Therefore, this study aimed to examine the independent associations of specific types of physical activities with the 10-year risk of CVD, and further evaluate the interactions between specific types of physical activities on the 10-year risk of CVD in US adults.

Methods

This study used the data of the National Health and Nutrition Examination Survey (NHANES) 1999-2006. Participants aged ≥ 30 years and with free of CVD were eligible. The physical activity questionnaire is used to collect general information on leisure-time activities in the past 30 days, including the frequency, duration, and intensity of participation in each activity. The exposures of interest included cycling, swimming, aerobics, running, American Football, basketball, and racquet sports. The Framingham risk score algorithm was used to assess 10-year CVD risk based on age, high density lipoprotein, total cholesterol, systolic blood pressure, smoking status, and diabetes. A higher total score reflects a greater risk of CVD.

Results

This study included 10829 participants. Compared to no participation, participation in cycling (β = −0.890, 95% CI:−1.278,−0.502, P < 0.001), running (β = −1.466, 95% CI:−1.837,−1.095, P < 0.001), American Football (β = −2.934, 95% CI:−3.750,−2.119, P < 0.001), basketball (β = −1.968, 95% CI:−2.645,−1.291, P < 0.001), and aerobics (β = −0.980, 95% CI:−1.352,−0.608, P < 0.001) was associated with a lower CVD risk. Furthermore, cycling was antagonistic with basketball and racquet sports in the associations with CVD risk. An antagonistic action between swimming and aerobics was also observed. Nevertheless, running was synergistic with cycling, aerobics, and racquet sports in the associations with CVD risk.

Conclusions

There were inverse associations of specific types of physical activities with CVD risk. Furthermore, there might be synergistic and antagonistic associations of multiple types of physical activities with CVD risk.