scholarly journals Associations between outdoor temperature and bright sunlight with metabolites in two population-based European cohorts

2019 ◽  
Author(s):  
Boukje C Eveleens Maarse ◽  
Nellie Y. Loh ◽  
Fredrik Karpe ◽  
Frits R Rosendaal ◽  
Diana van Heemst ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Population Based ◽  
Cardiometabolic Health ◽  
Outdoor Temperature ◽  
Cross Sectional ◽  
Lipoprotein Subclasses ◽  
Bright Sunlight

AbstractContext: Outdoor temperature and bright sunlight may directly and/or indirectly modulate systemic metabolism.Objective: We assessed the associations between outdoor temperature and bright sunlight duration with metabolomics.Design: meta-analysis of two cross-sectional studies.Setting: Two population-based European cohort studies.Patients or other participants: Non-diabetic individuals from the Oxford BioBank (OBB; N=6,368; mean age 47.0 years, males 44%) and the Netherlands Epidemiology of Obesity (NEO; N=5,916; mean age 55.6 years, males 43%) studies.Intervention(s): Data on mean outdoor bright sunlight and temperature collected from local weather stations in the week prior to blood sampling.Main Outcome Measure(s): Serum levels of 148 metabolites measured using NMR spectroscopy, including 14 lipoprotein subclasses.Statistical analyses: Multivariable linear regression analyses adjusted for age, sex, body mass index, season and either outdoor temperature or bright sunlight. Summary statistics from the OBB and NEO cohorts were combined using fixed-effect meta-analyses.Results: A higher mean outdoor temperature was associated with increased concentrations of lipoprotein (sub)particles and certain amino acids such as phenylalanine and leucine. In contrast, longer mean hours of bright sunlight were specifically associated with lower concentrations of very low density lipoprotein (sub)particles. The direction of effects was consistent between the OBB and NEO, although effect sizes were generally larger in the OBB.Conclusions: Increased bright sunlight duration is associated with an improved metabolic profile whilst higher outdoor temperature may adversely impact cardiometabolic health.

scholarly journals Urinary bisphenol A and serum lipids: a meta-analysis of six NHANES examination cycles (2003–2014)

2019 ◽  
Vol 73 (11) ◽  
pp. 1012-1019 ◽  
Author(s):  
Linda Dunder ◽  
Margareta H Lejonklou ◽  
P Monica Lind ◽  
Lars Lind
Keyword(s):  
Bisphenol A ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Epidemiological Studies ◽  
Lipoprotein Cholesterol ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Study Results

BackgroundMounting evidence from both experimental and epidemiological studies suggest that exposure to the endocrine disruptor bisphenol A (BPA) has a role in metabolic disorders. The aim of the present study was to assess whether urinary BPA concentrations were associated with dyslipidaemia in children (≤17 years old) and adults (≥18 years old) by performing a meta-analysis of data from six cycles (2003–2014) in the National Health and Nutrition Examination Survey (NHANES).MethodsWe conducted a meta-analysis of data from 4604 children and 10 989 adult participants who were part of a substudy of urinary BPA measurements from six NHANES cycles from 2003 to 2014. Linear regression models conducted in each cycle were used to perform a meta-analysis to investigate associations between urinary BPA and serum levels of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), triglycerides (TG) and apolipoprotein B (ApoB).ResultsThe meta-analysis did not disclose any significant associations between urinary BPA concentrations and LDL-C, HDL-C, TC, TG and ApoB in children. In adults, the meta-analysis revealed negative regression coefficients for all five lipid variables. However, no associations were significant following Bonferroni correction for multiple tests.ConclusionsIn the present meta-analysis of cross-sectional data from NHANES, no associations were found between urinary BPA and the five different lipid variables when investigated in both children and adults. However, considering the cross-sectional nature of the present study, results should be clarified in carefully designed longitudinal cohort studies with repeated BPA measurements.

scholarly journals Modelling the Reallocation of Time Spent Sitting into Physical Activity: Isotemporal Substitution vs. Compositional Isotemporal Substitution

2021 ◽  
Vol 18 (12) ◽  
pp. 6210
Author(s):  
Gregory J. H. Biddle ◽  
Joseph Henson ◽  
Stuart J. H. Biddle ◽  
Melanie J. Davies ◽  
Kamlesh Khunti ◽  
...  
Keyword(s):  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Future Research ◽  
Cardiometabolic Health ◽  
Low Density Lipoprotein Cholesterol ◽  
Cross Sectional ◽  
Randomised Control Trials ◽  
Data Driven Decisions

Isotemporal substitution modelling (ISM) and compositional isotemporal modelling (CISM) are statistical approaches used in epidemiology to model the associations of replacing time in one physical behaviour with time in another. This study’s aim was to use both ISM and CISM to examine and compare associations of reallocating 60 min of sitting into standing or stepping with markers of cardiometabolic health. Cross-sectional data collected during three randomised control trials (RCTs) were utilised. All participants (n = 1554) were identified as being at high risk of developing type 2 diabetes. Reallocating 60 min from sitting to standing and to stepping was associated with a lower BMI, waist circumference, and triglycerides and higher high-density lipoprotein cholesterol using both ISM and CISM (p < 0.05). The direction and magnitude of significant associations were consistent across methods. No associations were observed for hemoglobin A1c, total cholesterol, or low-density lipoprotein cholesterol for either method. Results of both ISM and CISM were broadly similar, allowing for the interpretation of previous research, and should enable future research in order to make informed methodological, data-driven decisions.

scholarly journals Hubungan Kadar LDL dan HDL Serum Ibu Hamil Aterm dengan Berat Lahir Bayi

2014 ◽  
Vol 3 (3) ◽  
Author(s):  
Oktalia Sabrida ◽  
Hariadi Hariadi ◽  
Eny Yantri
Keyword(s):  
Birth Weight ◽  
Serum Level ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Term Pregnancy ◽  
Cross Sectional ◽  
Consecutive Sampling ◽  
The Mean ◽  
Infant Birth

AbstrakAda anyak penelitian yang membuktikan transfer kolesterol dari ibu ke janin melalui lapisan trofoblas yang membawa partikel LDL (Low Density Lipoprotein) dan HDL (High Density Lipoprotein). Pengambilan dan pemanfaatan LDL oleh plasenta merupakan mekanisme alternatif oleh janin untuk memperoleh asam lemak dan asam amino esensial. Tujuan penelitian ini untuk mengetahui hubungan kadar LDL dan HDL serum ibu hamil aterm dengan berat lahir bayi. Penelitian ini merupakan studi observasional dengan rancangan cross sectional. Dilakukan pemeriksaan kadar LDL dan HDL serum terhadap 31 sampel ibu hamil aterm yang dipilih secara consecutive sampling, kemudiaan saat bayi dari sampel lahir dilakukan penimbangan berat lahir bayi dalam 1 jam setelah lahir dengan keadaan tanpa pakaian. Data dianalisis menggunakan uji korelasi Pearson dilanjutkan dengan uji regresi linier sederhana, nilai p<0.05 dianggap bermakna secara statistik. Rerata kadar LDL serum ibu hamil aterm 138,52±37,86 mg/dl dengan 7 sampel (22,60%) kadar LDL <101 mg/dl. Rerata kadar HDL serum ibu hamil aterm 53,32±17,39 mg/dl dengan 13 sampel (41,90%) kadar HDL <48 mg/dl. Rerata berat lahir bayi 3150,00±489,89 gram dengan 2 sampel (6,50%) memiliki bayi dengan berat<2500 gram. Terdapat hubungan positif antara kadar LDL serum ibu hamil aterm dengan berat lahir bayi, kekuatan hubungan lemah (r=0,258), secara statistik tidak bermakna (p=0,161). Terdapat hubungan positif antara kadar HDL serum ibu hamil aterm, kekuatan hubungan sangat lemah (r=0,035), secara statistik tidak bermakna (p=0,850). Kesimpulan penelitian tidak terdapat hubungan kadar LDL dan HDL serum ibu hamil dengan berat lahir bayi.Kata kunci: kadar LDL serum, kadar HDL serum, ibu hamil aterm, berat lahir bayiAbstractMany studies proved that the transferring of cholesterol from mother to fetus through the trophoblastic layer carried LDL (Low Density Lipoprotein) and HDL (High Density Lipoprotein) particles. Uptake and usage of LDL by placenta to the fetus is an alternative mechanism to obtain fatty acids and essential amino acids. The objective of this study was to determine whether there is a relationship between LDL and HDL serum level of pregnant women at term with infant birth weight. This study was an observational study with cross sectional design. Examination of LDL and HDL serum level to 31 term pregnancy sample choose by consecutive sampling, and then infant’s birth weight was counted within 1 hour after birth without clothes. The data analyzed with Pearson correlation statistical test followed by simple linier regression statistical test. The mean of LDL serum level term pregnancy was 138,52±37,86mg/dlwith7 samples(22.60%) in LDL levels<101 mg/dl. The mean of HDL serum level at term pregnancy was 53,32±17,39 mg/dlwith 13 samples (41,90%) in HDL levels<48 mg/dl. The mean of infant birth weight was 3150,00±489,89 grams with 2 samples (6,50%) had infants weighing < 2500 grams. There is a positive relationship between LDL serum levels term pregnancy with birth weight infants, the strength of the relationship is weak (r =0,258), were not significant statistically (p=0,161). There is a positive relationship between HDL serum levels at term pregnancy with birth weight infants, the strength ofthe relationshipis veryweak(r =0,035), were not significant statistically (p=0,850). In conclusion there was no correlation of serum levels of LDL and HDL at term pregnant with birth weight.

The Effect of Exercise Training on Serum Glucose and Lipid Profiles in Patients With Breast Cancer: A Systematic Review and Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-15
Author(s):  
Fatemeh Abbasi ◽  
Zeinab Khademi ◽  
Rasoul Eslami ◽  
Alireza Milajerdi
Keyword(s):  
Breast Cancer ◽  
Exercise Training ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Serum Glucose ◽  
Lipid Profiles ◽  
Effect Sizes ◽  
Low Density

Background: Despite several studies on the effects of exercise training on glucose and lipid profiles in patients with breast cancer, no earlier study has systematically summarized their findings. Current systematic review and meta-analysis have been done on earlier clinical trials in this topic. Methods: Relevant studies published up to May 2020 were searched through PubMed, SCOPUS, and Google Scholar using predefined keywords. Studies that examined the effect of exercise training on serum glucose and lipid profiles in adult women with breast cancer were included. Results: A total of 16 studies were included. Combining 10 effect sizes, exercise training had no significant influence on serum fasting plasma glucose concentrations (weighted mean difference [WMD] = 4.87; 95% confidence interval [CI], −4.65 to 14.29). However, it resulted in significant reduction of serum insulin (WMD = −2.37; 95% CI, −3.57 to −1.16) and homeostatic model assessment for insulin resistance (WMD = −0.71; 95% CI, −1.27 to −0.15) in 14 and 8 studies, respectively. Pooling 6 effect sizes, exercise training did not change serum total cholesterol (WMD = −11.99; 95% CI, −32.42 to 8.45), low-density lipoprotein (WMD = −3.21; 95% CI, −10.45 to 4.04), high-density lipoprotein (WMD = 4.13; 95% CI, −6.20 to 14.46), and triglyceride (WMD = −23.34; 95% CI, −66.96 to 20.29) concentrations. Subgroup analyses showed beneficial effects of exercise training on outcomes of interest among studies with higher methodological quality. Conclusion: Current meta-analysis demonstrated significant reductions in serum levels of insulin and insulin resistance following exercise training. However, exercise training had no significant effect on serum levels of fasting plasma glucose, total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein. Further high-quality studies are needed to shed light on this issue.

Cigarette Smoking-Associated Changes in Blood Lipid and Lipoprotein Levels in the 8-to 19-Year-Old Age Group: A Meta-Analysis

PEDIATRICS ◽  
1990 ◽  
Vol 85 (2) ◽  
pp. 155-158
Author(s):  
Wendy Y. Craig ◽  
Glenn E. Palomaki ◽  
A. Myron Johnson ◽  
James E. Haddow
Keyword(s):  
Total Cholesterol ◽  
Old Age ◽  
Ldl Cholesterol ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Low Density ◽  
Age Group ◽  
Cholesterol Levels

In this meta-analysis it was demonstrated that, when compared with nonsmokers of similar age, smokers in the 8- to 19-year-old age group have significantly higher serum levels of triglyceride (+11.8%), very-low-density lipoprotein (VLDL)-cholesterol (+12.4%) and low-density lipoprotein (LDL)-cholesterol (+4.1%) and significantly lower serum levels of high-density lipoprotein (HDL)-cholesterol (-8.5%) and total cholesterol (-3.7%). All of these smoking-associated changes are in the same direction as those found in adults, with the exception of total cholesterol levels, which are significantly increased in adult smokers. The extent to which mean triglyceride, LDL-cholesterol, and HDL-choles-terol levels are shifted is significantly greater in the 8-to 19-year-old smokers than in adult smokers. The changes in mean total cholesterol levels among smokers in both age groups represent only the net shifts in the lipoprotein fractions and are therefore likely to be a less sensitive indicator of the possible lipid-related excess coronary artery disease risk in smokers.

Effect of Selenium Supplementation on Lipid Profile: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 50 (10) ◽  
pp. 715-727 ◽  
Author(s):  
Motahareh Hasani ◽  
Shirin Djalalinia ◽  
Farshad Sharifi ◽  
Mehdi Varmaghani ◽  
Maryam Zarei ◽  
...  
Keyword(s):  
Lipid Profile ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Selenium Deficiency ◽  
Serum Levels ◽  
Selenium Supplementation ◽  
Low Density ◽  
Fixed Effects Model

AbstractSelenium is an essential mineral that plays a key role in plenty of major metabolic processes. A growing body of literature has shown that selenium deficiency leads to an increase in plasma TC and TG levels. This study explores the effect of selenium supplementation on serum level of lipid profile [total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL), high-density lipoprotein (HDL), very low density lipoprotein (VLDL)]. We systematically searched PubMed/MEDLINE, ISI/WOS, and Scopus (from their commencements to Jan 2016) to identify the papers investigating the association between the intake of selenium and lipid profile. Data extracted from the relevant studies were screened. The pooled standardized mean difference was estimated using the random or fixed effects model. Heterogeneity among the studies was assessed using Q-test. Of the potentially relevant articles screened, 11 articles including 1221 participants were included in this meta-analysis. Results of meta-analysis showed that intake of selenium resulted in a statistically significant improvement in TC, [(SMD): –0.13, 95% CI: (–0.24, –0.02)], TG [(SMD): –0.19, 95% CI: (–0.38, –0.01)] and VLDL [(SMD): –0.34, 95% CI: (–0.63, –0.05)]. The selenium supplementation did not significantly improve lipid profile such as LDL [(SMD): –0.08, 95% CI: (–0.036, 0.19)], HDL [(SMD): 0.01, 95% CI: (–0.164, 0.18)], HDL/TC ratio [(SMD): 0.025, 95% CI: (–0.11, 0.16)], non-HDL-C [(SMD): 0.018, 95% CI: (–0.13, 0.16)]. This meta-analysis suggests that the effect of selenium supplementation on the serum levels of TG and VLDL is marginally significant. However, the supplementation has no effect on other serum lipids. Moreover, the study shows that the effect of selenium supplementation on lipid profile is negative.

Resistance training and HIIT improve cardiometabolic health in high risk older adults

2021 ◽  
Author(s):  
Kelly Ann McLeod ◽  
Matthew D. Jones ◽  
Jeanette M Thom ◽  
Belinda J. Parmenter
Keyword(s):  
Older Adults ◽  
Resistance Training ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Interval Training ◽  
Mean Difference ◽  
Cardiometabolic Health ◽  
High Intensity Interval

Progressive resistance training (PRT) and high-intensity interval training (HIIT) improve cardiometabolic health in older adults. Whether combination PRT+HIIT (COMB) provides similar or additional benefit is less clear. This systematic review with meta-analysis of controlled trials examined effects of PRT, HIIT and COMB compared to non-exercise control in older adults with high cardiometabolic risk. Databases were searched until January 2021, with study quality assessed using the PEDro scale. Risk factor data was extracted and analysed using RevMan V.5.3. We analysed 422 participants from nine studies (7 PRT, n=149, 1 HIIT, n=10, 1 COMB, n=60; control n=203; mean age 68.1±1.4 years). Compared to control, exercise improved body mass index (mean difference (MD) -0.33 [-0.47, -0.20], p≤0.0001), body fat % (standardised mean difference (SMD) -0.71 [-1.34, -0.08], p=0.03), aerobic capacity (SMD 0.41 [0.05, 0.78], p=0.03), low-density lipoprotein (SMD -0.27 [-0.52, -0.01], p=0.04), and blood glucose (SMD -0.31 [-0.58, -0.05], p=0.02). Therefore, PRT, HIIT and COMB can improve cardiometabolic health in older adults with cardiometabolic risk. Further research is warranted, particularly in HIIT and COMB, to identify the optimal exercise prescription, if any, for improving older adults cardiometabolic health.

scholarly journals Glycaemic index and glycaemic load in relation to blood lipids – 6 years of follow-up in adult Danish men and women

2006 ◽  
Vol 9 (6) ◽  
pp. 737-745 ◽  
Author(s):  
Anne Lene Oxlund ◽  
Berit Lilienthal Heitmann
Keyword(s):  
Serum Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Population Based ◽  
Glycaemic Index ◽  
Cross Sectional ◽  
Men And Women ◽  
Glycaemic Load ◽  
The Relationship

AbstractBackgroundCross-sectional studies have suggested an association between glycaemic index (GI) or glycaemic load (GL) and serum lipids. However, no prospective studies have been performed.ObjectiveTo examine whether GI or GL was associated with subsequent changes in serum lipids.DesignProspective study with 6 years of follow-up. Overall dietary GI and GL of each participant were assessed from diet history interviews.SettingPopulation-based study.SubjectsThree hundred and thirty-five healthy men and women aged 35–65 years selected randomly from a larger sample of Danish adults.ResultsIn men GI was directly related to changes in total cholesterol (ΔTC), regression coefficient (β) = 0.0044 (95% confidence interval (CI): 0.0008–0.0081) and GL was positively related to changes in low-density lipoprotein cholesterol (ΔLDL),β= 0.1554 (95% CI: 0.0127–0.2982). Furthermore, the relationship between GL and ΔTC was modified by age, being particularly strong for the younger men (P= 0.02). In women the relationship between GI and ΔLDL was modified by age and was stronger for younger rather than older women (P= 0.01). A tendency for a similar interaction was seen for GI and ΔTC (P= 0.09). Associations between GL and ΔLDL and GL and ΔTC were inverse for women with body mass index ≥ 30 kg m−2(P= 0.03 and 0.04, respectively).ConclusionsThis is the first study to demonstrate that dietary GI and GL are related to 6-year changes in serum lipid levels. However, associations were weak and generally confined to subgroups.

scholarly journals Distribution of Paraoxonase-1 (PON-1) and Lipoprotein Phospholipase A2 (Lp-PLA2) across Lipoprotein Subclasses in Subjects with Type 2 Diabetes

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Angelina Passaro ◽  
Giovanni Battista Vigna ◽  
Arianna Romani ◽  
Juana M. Sanz ◽  
Carlotta Cavicchio ◽  
...  
Keyword(s):  
Phospholipase A2 ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Serum Levels ◽  
Protective Role ◽  
Lipoprotein Cholesterol ◽  
Paraoxonase 1 ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Lipoprotein Subclasses

Paraoxonase-1 (PON1) and lipoprotein phospholipase A2 (Lp-PLA2) may exert an important protective role by preventing the oxidative transformation of high- and low-density lipoproteins (HDL and LDL, respectively). The activity of both enzymes is influenced by lipidome and proteome of the lipoprotein carriers. T2DM typically presents significant changes in the molecular composition of the lipoprotein subclasses. Thus, it becomes relevant to understand the interaction of PON1 and Lp-PLA2 with the subspecies of HDL, LDL, and other lipoproteins in T2DM. Serum levels of PON1-arylesterase and PON1-lactonase and Lp-PLA2 activities and lipoprotein subclasses were measured in 202 nondiabetic subjects (controls) and 92 T2DM outpatients. Arylesterase, but not lactonase or Lp-PLA2 activities, was inversely associated with TD2M after adjusting for potential confounding factors such as age, sex, smoking, body mass index, hypertension, and lipoprotein subclasses (odds ratio = 3.389, 95% confidence interval 1.069–14.756). Marked difference between controls and T2DM subjects emerged from the analyses of the associations of the three enzyme activities and lipoprotein subclasses. Arylesterase was independently related with large HDL-C and small intermediate-density lipoprotein cholesterol (IDL-C) in controls while, along with lactonase, it was related with small low-density lipoprotein cholesterol LDL-C, all IDL-C subspecies, and very low-density lipoprotein cholesterol (VLDL-C) in T2DM (p<0.05for all). Concerning Lp-PLA2, there were significant relationships with small LDL-C, large IDL-C, and VLDL-C only among T2DM subjects. Our study showed that T2DM subjects have lower levels of PON1-arylesterase compared to controls and that T2DM occurrence may coincide with a shift of PON1 and Lp-PLA2 towards the more proatherogenic lipoprotein subclasses. The possibility of a link between the two observed phenomena requires further investigations.

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