Effects of exercise training on metabolic syndrome risk factors in post-menopausal women – A systematic review and meta-analysis of randomised controlled trials

Tan, Abbigail S Y; Thomas, Rebecca Louise; Campbell, Matthew D.; Prior, Sarah L.; Bracken, Richard M.; Churm, Rachel

doi:10.1016/j.clnu.2023.01.008

Cited by 9 publications

(6 citation statements)

References 91 publications

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“…A higher rate of regular physical activity was observed in the non-MetS group than in the MetS group. This result was supported by those of previous studies [8,39]. A sedentary lifestyle was a risk factor for MetS development in postmenopausal women.…”

Section: Discussionsupporting

confidence: 90%

“…A sedentary lifestyle was a risk factor for MetS development in postmenopausal women. A systematic review and meta-analysis found that regular physical activity effectively reduced the risk of MetS in postmenopausal women, with significant metabolic improvement over 8-10 weeks of intervention [39]. Hence, regular physical activity was a practical strategy to reduce the occurrence of MetS.…”

Section: Discussionmentioning

confidence: 99%

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Lifestyle Factors Influencing Metabolic Syndrome after Adjusting for Socioeconomic Status and Female Reproductive Health Indicators: A National Representative Survey in Korean Pre- and Postmenopausal Women

Hong,

Kang

2024

Healthcare

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Metabolic syndrome (MetS) is increasing markedly among postmenopausal women. Although studies suggest multiple risk factors for its development, few have investigated changes in socioeconomic status (SES), female reproductive health indicators (menarche age, experience of pregnancy, delivery, breastfeeding, and postmenopausal status), and lifestyle factors. This study investigated lifestyle factors affecting MetS prevalence among pre- and post-menopausal women after adjusting for SES and female reproductive health indicators. Data from the Korea National Health and Nutrition Examination Survey VII (2016–2018) on 2856 pre- and postmenopausal women aged 40–59 years were analyzed. Differences in SES (e.g., age, education, and household income), female reproductive health indicators (e.g., age of menarche and menopause), and lifestyle (e.g., total calorie intake, fats, and proteins, percentage of energy from carbohydrates, fats, and proteins, smoking, physical activity, and obesity) between MetS and non-MetS groups were calculated by performing χ2 or t-tests. Consequently, current smoking, physical inactivity, overweight, and obesity were significantly associated with increased MetS after adjusting for SES and female reproductive health indicators using logistic regression analysis. Hence, health policies and programs focusing on modifiable MetS risk factors–encouraging healthy eating habits, smoking cessation, and regular exercise—must be formulated to prevent the development of MetS in pre- and postmenopausal women.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Lifestyle Factors Influencing Metabolic Syndrome after Adjusting for Socioeconomic Status and Female Reproductive Health Indicators: A National Representative Survey in Korean Pre- and Postmenopausal Women

Hong,

Kang

2024

Healthcare

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“…To explain this phenomenon, a compensatory effect in fat metabolism after the interruption of exercise should be considered, since previous studies suggest that there is an increase in lipogenesis after the cessation of exercise (57). Interestingly, TG, insulin, and glucose in both groups returned to lower values than baseline; particularly in HIIT group.…”

Section: Discussionmentioning

confidence: 92%

Comparison of HIIT and MICT and further detraining on metabolic syndrome and asprosin signaling pathway in metabolic syndrome model of rats

Rahim,

Damirchi,

Babaei

2023

Preprint

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Physical activity promotes various metabolic benefits by balancing pro and anti-inflammatory adipokines. Recent studies suggest that asprosin might be involved in progression of metabolic syndrome (MetS), however, the underlying mechanisms have not been understood yet. This study aimed to evaluate the effects of High-intensity interval training (HIIT), moderate-intensity continuous training (MICT) and further detraining on MetS indices, insulin resistance, serum and the liver levels of asprosin, and AMP-activated protein kinase (AMPK) pathway in menopause–induced MetS model of rats. A total of 64 Wistar rats were used in this study and divided into 8 groups: Sham1, OVX1(ovariectomized), Sham2, OVX2, OVX + HIIT, OVX + MICT, OVX + HIIT + Det (detraining) and OVX + MICT + Det. Animals performed the protocols, and then serum concentrations of asprosin, TNF-α, insulin, fasting glucose, and lipids profile (TC, LDL, TG, and HDL) were assessed. Additionally, the liver expression of asprosin, AMPK, P-AMPK were measured by western blotting. Both HIIT and MICT caused a significant decrease in weight, waist circumference, BMI, and serum levels of glucose, insulin, asprosin, triglyceride, total cholesterol, low-density lipoprotein (LDL), and TNF-α, but an increase in AMPK, P-AMPK, and P-AMPK/AMPK in the liver (P = 0.001), compared with OVX2 nonexercised group(P = 0.001). MICT was superior to HIIT in reducing serum asprosin, TNF-a, TG, LDL, insulin, fasting glucose, HOMA-IR, QUEKI index, AMPK and p-AMPK. Although after two month of de-training almost all indices returned to the pre exercise values (p < 0.05). Our findings suggest that MICT effectively alleviates MetS–induced by menopause at least partly via activating liver signaling of P-AMPK and reducing asprosin and TNF-α.

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“…Interestingly, epidemiological evidence has shown that a reduction of ∼0.06 kg in visceral adipose tissue or 5 cm in waist circumference is clinically important, as it is associated with a reduction in metabolic risk factors for all-cause mortality. 84 , 85 , 86 Moreover, the risk of death increased by 13% in females for every 5-cm increase in waist circumference. 87 In the present study, both RT volume groups presented slightly reduced abdominal adiposity (waist circumference, android, and trunk fat), with small effect sizes ( Tables 3 and 4 ).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, similar reductions in waist circumference (∼2–3 cm) were observed after moderate-to-vigorous aerobic training and combined training (aerobic training plus RT). 40 , 86 Collectively, these studies suggest that LVRT and HVRT may have a similar clinical relevance to aerobic training in terms of its ability to combat obesity in postmenopausal and older females, although with small effect sizes and low-quality evidence. Therefore, RT should be more strongly encouraged by public health guidelines as a go-to non-pharmacological intervention.…”

Section: Discussionmentioning

confidence: 99%

Effect of resistance training volume on body adiposity, metabolic risk, and inflammation in postmenopausal and older females: Systematic review and meta-analysis of randomized controlled trials

Nunes,

Castro-e-Souza,

de Oliveira

et al. 2024

Journal of Sport and Health Science

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Effects of exercise training on metabolic syndrome risk factors in post-menopausal women – A systematic review and meta-analysis of randomised controlled trials

Cited by 9 publications

References 91 publications

Lifestyle Factors Influencing Metabolic Syndrome after Adjusting for Socioeconomic Status and Female Reproductive Health Indicators: A National Representative Survey in Korean Pre- and Postmenopausal Women

Lifestyle Factors Influencing Metabolic Syndrome after Adjusting for Socioeconomic Status and Female Reproductive Health Indicators: A National Representative Survey in Korean Pre- and Postmenopausal Women

Comparison of HIIT and MICT and further detraining on metabolic syndrome and asprosin signaling pathway in metabolic syndrome model of rats

Effect of resistance training volume on body adiposity, metabolic risk, and inflammation in postmenopausal and older females: Systematic review and meta-analysis of randomized controlled trials

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