Associations between Intensity, Frequency, Duration, and Volume of Physical Activity and the Risk of Stroke in Middle- and Older-Aged Chinese People: A Cross-Sectional Study

Yang, Donghui; Bian, Yuqian; Zeng, Zixin; Cui, Yiran; Wang, Yafeng; Yu, Chuanhua

doi:10.3390/ijerph17228628

Cited by 12 publications

(9 citation statements)

References 43 publications

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“…20,21 The limited mechanization or services resources of housework in rural areas forced women to do most of housework, which fueled markedly increased the gender gap in income. 22 With age increasing, both old men and women may drop out of the labor market, so this gap in income would close and was not observed in our results among old participants. In China, the legal age for marriage is 20 for women but 22 for men, which may account for the higher marital SES-score in youth women.…”

Section: Discussioncontrasting

confidence: 53%

Distribution of socioeconomic status and its association with type 2 diabetes mellitus in China rural area: Henan Rural Cohort study

Kang¹,

Liu²,

Liao³

et al. 2021

Preprint

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Background The measures of socioeconomic status (SES) differed across divergent researches and rare of them focused on rural population. This research, thus, presented a novel measure of SES among rural population and then estimated its association with type 2 diabetes mellitus (T2DM). Methods All participants were farmer and enrolled from the Henan Rural Cohort study. SES of individual was assessed by SES-score, a composite index derived from three SES-related indicators (education level, average monthly income, and marital status). Binary logistic regression was employed to examine the independent association between SES-score and T2DM as well as the combined effects of SES and age on T2DM. To detect the gender differences, all analyses were stratified by gender. Results Among 39259 rural participants, the means (SDs) SES-score of total population, men, and women were 3.47 (1.54), 3.72 (1.49), and 3.31 (1.57), respectively. The SES-score decreased with age and men always had a higher score than women. The prevalence of T2DM decreased with increasing SES-score among women (14.87–4.47%, P trend <0.001), while an inverse trend was observed among men (6.59–9.87%, P trend <0.001). Adjusted ORs (95%CIs) for prevalent T2DM, per unit increase, were 1.07 (1.03, 1.12) in men and 0.96 (0.93, 0.99) in women. Old men with high SES and old women with low SES were vulnerable to T2DM. Conclusions Men had a higher SES-score than women in rural areas, and this gap increased with age. The association between SES and T2DM was differed by gender. Trail Registration: The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July, 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375

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Section: Discussioncontrasting

confidence: 53%

Distribution of socioeconomic status and its association with type 2 diabetes mellitus in China rural area: Henan Rural Cohort study

Kang¹,

Liu²,

Liao³

et al. 2021

Preprint

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“…Evidence suggested that the level of physical activity was associated with the risk of stroke, and light physical activity may not be related to the risk of stroke. 25–27 …”

Section: Discussionmentioning

confidence: 99%

“…Evidence suggested that the level of physical activity was associated with the risk of stroke, and light physical activity may not be related to the risk of stroke. [25][26][27] The putative mechanism of diabetes's influence involves several aspects. The nitric oxide (NO)-mediated vasodilation is compromised among diabetic patients, resulting in endothelial dysfunction and a cascade reaction of atherosclerosis.…”

Section: Discussionmentioning

confidence: 99%

Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey

Ren¹,

Fu²

2021

IJGM

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Purpose This research intended to identify significant risk factors of stroke among the elderly population in the United States using the k-means clustering method. Patients and Methods In this cross-sectional study, we analyzed data of 4346 subjects aged ≥60 years using the National Health and Nutrition Examination Survey (NHANES) 2013–2018 datasets. Questionnaire data, dietary data, and laboratory data were accessed to acquire measurements of the potential risk factors. A pre-defined classification method was used based on the Medical Condition Questionnaire to define the stroke group. K-means clustering analysis used all potential risk factors for differentiating both groups. A stepwise logistic regression analysis examined the association between significant risk factors and the odds of stroke. Results Age (OR:1.053, 95% CI:1.029–1.077), diabetes (OR: 28.019, 95% CI: 19.139–41.020), glycohemoglobin (OR: 2.309, 95% CI: 1.818–2.934), plasma fasting glucose (OR: 1.017, 95% CI: 1.010–1.024), hypertension (OR: 2.343, 95% CI: 1.602–3.426), dietary fiber consumption (OR:0.980, 95% CI:0.964–0.995), and education level (OR:0.541, 95% CI: 0.411–0.713) were identified as significant risk factor for stroke among the elderly population in the k-means clustering method. In the pre-defined grouping method, age (OR:1.093, 95% CI:1.054–1.132), diabetes (OR:2.228, 95% CI: 1.432–3.466), hypertension (OR:2.295, 95% CI:1.338–3.938), and dietary fiber consumption (OR: 0.966, 95CI%:0.947–0.985) were found to influence to the risk of stroke. Conclusion Age, hypertension, dietary fiber consumption, and education level are the significant risk factors of stroke among elders aged >60 years. Among all the risk factors, diabetes is the strongest predictor of stroke. Glycohemoglobin and plasma fasting glucose are also associated with stroke risks, implying that glycemic control is particularly crucial in stroke prevention and management among older adults.

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“…The duration of exercise was calculated by multiplying the weekly frequency and the duration of each session according to prior research 20 . Regular exercise was defined as at least 150 minutes of moderate-intensity or 75 minutes of vigorous-intensity physical activity per week as recommended by the 2020 guidelines of the World Health Organization (WHO) 21 .…”

Section: Definition Of Healthy Lifestylesmentioning

confidence: 99%

The dilution effects of healthy lifestyles on the risk of depression attributed to life-course disadvantages among Chinese middle-aged and older adults

Ren

Lian

et al. 2022

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Background: Life-course disadvantages and unhealthy lifestyles are well-known to independently induce depression, but their joint effects on depression and whether adopting healthy lifestyles can dilute the depressive risks attributed to life-course disadvantages remain unknown in China. Methods: Data were from the China Health and Retirement Longitudinal Study. Life-course (childhood and adulthood) disadvantages were defined using 60 questions and were classified as mild, moderate, and severe by principal component analysis. Healthy lifestyles, including regular exercise, reasonable sleep, never smoking, and no heavy alcohol consumption, were classified as 0/1, 2, 3, and 4. Depression was assessed using CESD-10 with cutoff ≥10. Logistic regression was used to investigate the association of life-course disadvantages and lifestyles with depression and the dilution effects of healthy lifestyles on the depressive risks attributed to life-course disadvantages. Results: Among 5724 participants included, sleep and smoking mediated 5.1% and 1.1% the effect of severe life-course disadvantages on depression while exercise mediated -0.8%. Multiple (vs. 0/1) healthy lifestyles were associated with decreased depressive risks more significantly as the life-course disadvantages increased, with odds ratios (ORs) and 95% confidence intervals (CIs) of 0.44 (0.25-0.80) and 0.33 (0.21-0.53) for 4 healthy lifestyles in participants with mild and severe life-course disadvantages, respectively. Compared to participants with mild life-course disadvantages and 4 healthy lifestyles, those who with severe life-course disadvantages and less than one lifestyles were more than 10 times as significantly associated with depression. Finally, participants with mild/moderate life-course disadvantages but ≤2 healthy lifestyles (vs. severe but 4 lifestyles) were not associated with decreased depressive risks. Conclusion: Adopting multiple healthy lifestyles can well-dilute the depressive risks attributed to life-course disadvantages in middle-aged and older Chinese, which is of great importance for reducing the depressive burden and the construction of healthy aging in China.

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Associations between Intensity, Frequency, Duration, and Volume of Physical Activity and the Risk of Stroke in Middle- and Older-Aged Chinese People: A Cross-Sectional Study

Cited by 12 publications

References 43 publications

Distribution of socioeconomic status and its association with type 2 diabetes mellitus in China rural area: Henan Rural Cohort study

Distribution of socioeconomic status and its association with type 2 diabetes mellitus in China rural area: Henan Rural Cohort study

Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey

The dilution effects of healthy lifestyles on the risk of depression attributed to life-course disadvantages among Chinese middle-aged and older adults

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