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Oxidative stress plays a critical role in the pathogenesis of chronic diseases. Therefore, improvement of oxidative stress status through lifestyle intervention can play a vital role in preventing and treating chronic diseases. This systematic review aims to provide an overview of articles published in the last decade examining the association between lifestyle intervention and oxidative stress biomarkers in the context of non-communicable diseases. The electronic databases PubMed and Web of Science were searched for relevant studies, following the PRISMA (Preferred Reporting of Systematic Reviews and Meta-Analyses) guidelines. This systematic review focused on the four important oxidative stress biomarkers; glutathione (GSH), superoxide dismutase (SOD), catalase, and malondialdehyde. 671 articles were identified, of which nine met the inclusion criteria. A trend emerged, showing that lifestyle modifications that focus on diet and physical health can improve oxidative stress in the form of an increase in superoxide dismutase and CAT levels and a decrease in Malondialdehyde levels in participants with non-communicable diseases (NCDs), GSH levels were not affected. However, the results are difficult to compare because of the heterogeneity of the methods of the biomarkers studied. Our review indicates that oxidative stress can be influenced by lifestyle modifications and may be an effective tool for the prevention and management of non-communicable diseases. This review also elucidated the importance of analyzing multiple oxidative stress biomarkers to evaluate oxidative stress, it further highlights the need to conduct long-term lifestyle intervention studies on oxidative stress biomarkers to understand the connection between oxidative stress biomarkers, NCDs and Lifestyle intervention.
Background
Common carotid intima-media thickness (ccIMT) is an established risk marker for cardiovascular events, including myocardial infarction and stroke, which are of high public health relevance. While a higher fruit intake is generally considered beneficial for cardiovascular health, recent studies have shown that a fruit intake of > 2 portions per day may be harmful. Therefore, we tested if there is an association between categories of fruit intake and mean ccIMT.
Methods
We conducted an exploratory, non-prespecified, cross-sectional analysis of baseline values of 167 mostly middle-aged participants of a controlled lifestyle intervention, recruited from the general population in rural northwest Germany (male: n = 58; female: n = 109). Fruit intake was classified into low (<1 portion of fruit/day), intermediate (1-2 portions of fruit/day), and high (>2 portions of fruit/day). Mean ccIMT was measured in accordance with the Mannheim consensus. Between-group differences in mean ccIMT were assessed with analysis of covariance.
Results
Mean age was 57.3 ± 0.7 years (mean ± SEM). Mean fruit intake was 1.6 ± 0.1 portions/day. Average mean ccIMT was 0.679 ± 0.010 mm. There was a significant difference in mean ccIMT between subjects with low (0.676 ± 0.020 mm; n = 50), intermediate (0.653 ± 0.014 mm; n = 72), and high fruit intake (0.724 ± 0.019 mm; n = 45; p = 0.016). But this difference was attenuated when adjusting for age, sex, and homocysteine (p = 0.418).
Conclusions
We found only a non-significant association between consuming >2 portions of fruit per day and ccIMT. Thus, our study could not confirm a negative effect of fruit intake on ccIMT. Age, sex, and homocysteine may confound this association.
Key messages
Current recommendations of 2 portions of fruit per day seem adequate and do not negatively influence carotid intima-media thickness.
Future studies should address confounding of the association between fruit intake and cardiovascular risk markers.
Effect of a 6-Month Controlled Lifestyle Intervention on Common Carotid Intima-Media Thickness
(2021)
Common carotid intima-media thickness (ccIMT) progression is a risk marker for cardiovascular disease (CVD), whereas healthy lifestyle habits are associated with lower ccIMT. The objective of the present study was to test whether a healthy lifestyle intervention can beneficially affect ccIMT progression. A community-based non-randomised, controlled lifestyle intervention was conducted, focusing on a predominantly plant-based diet (strongest emphasis), physical activity, stress management and social health. Assessments of ccIMT were made at baseline, 6 months and 1 year. Participants had an average age of 57 years and were recruited from the general population in rural northwest Germany (intervention: n 114; control: n 87). From baseline to 1 year, mean ccIMT significantly increased in both the intervention (0⋅026 [95 % CI 0⋅012, 0⋅039] mm) and control group (0⋅045 [95 % CI 0⋅033, 0⋅056] mm). The 1-year trajectory of mean ccIMT was lower in the intervention group (P = 0⋅022; adjusted for baseline). In a subgroup analysis with participants with high baseline mean ccIMT (≥0⋅800 mm), mean ccIMT non-significantly decreased in the intervention group (−0⋅016 [95 % CI −0⋅050, 0⋅017] mm; n 18) and significantly increased in the control group (0⋅065 [95 % CI 0⋅033, 0⋅096] mm; n 12). In the subgroup, the 1-year trajectory of mean ccIMT was significantly lower in the intervention group (between-group difference: −0⋅051 [95 % CI −0⋅075, −0⋅027] mm; P < 0⋅001; adjusted for baseline). The results indicate that healthy lifestyle changes may beneficially affect ccIMT within 1 year, particularly if baseline ccIMT is high.
Abstract This study extends previous research evaluating the association between the CHIP intervention, change in body weight, and change in psychological health. A randomized controlled health intervention study lasting 4 wk. was used with 348 participants from metropolitan Rockford, Illinois; ages ranged from 24 to 81 yr. Participants were assessed at baseline, 6 wk., and 6 mo. The Beck Depression Inventory (BDI) and three selected psychosocial measures from the SF-36 Health Survey were used. Significantly greater decreases in Body Mass Index (BMI) occurred after 6 wk. and 6 mo. follow-up for the intervention group compared with the control group, with greater decreases for participants in the overweight and obese categories. Significantly greater improvements were observed in BDI scores, role-emotional and social functioning, and mental health throughout follow-up for the intervention group. The greater the decrease in BMI through 6 wk., the better the chance of improved BDI score, role-emotional score, social functioning score, and mental health score, with odds ratios of 1.3 to 1.9. Similar results occurred through 6 mo., except the mental health variable became nonsignificant. These results indicate that the CHIP intervention significantly improved psychological health for at least six months afterwards, in part through its influence on lowering BMI.