Low basal metabolic rate as a risk factor for development of insulin resistance and type 2 diabetes

Maciak, Sebastian; Sawicka, Diana; Sadowska, Anna; Prokopiuk, Sławomir; Buczyńska, Sylwia; Bartoszewicz, Marek; Niklińska, Gabriela; Konarzewski, Marek; Car, Halina

doi:10.1136/bmjdrc-2020-001381

Cited by 15 publications

(15 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is important to consider as adults (not pregnant or recently postpartum) with a low basal metabolic rate have a higher propensity for weight gain and insulin resistance. 32 If not addressed, it is possible that women with lower metabolic rates may be more likely to develop future insulin resistance or type II diabetes.…”

Section: Discussionmentioning

confidence: 99%

Postpartum Metabolism: How Does It Change from Pregnancy and What are the Potential Implications?

Tinius¹,

Yoho²,

Blankenship³

et al. 2021

IJWH

View full text Add to dashboard Cite

Background Metabolic dysfunction after pregnancy may have serious consequences for a new mother. The purpose of the study was to characterize basic changes that occur in metabolic profiles from late pregnancy through 4–6 months postpartum. A secondary purpose was to determine metabolic factors that may be contributing to postpartum weight retention. Methods Participants (n=25) came in for 2 visits: late pregnancy (~34 weeks gestation) and postpartum (4-6 months). Resting metabolic rate (RMR), respiratory quotient (RQ), and substrate oxidation values were assessed for 15 minutes during fasted conditions. Blood was drawn and skinfold anthropometry was performed to assess additional outcomes (inflammation, insulin resistance, lipid profiles, body composition). The participants completed a number of surveys that examined other lifestyle and demographic data of interest. At the postpartum visit, additional assessments regarding sleep and breastfeeding habits were administered. Results RMR was lower during postpartum (1517.2±225.1 kcal/day) compared to pregnancy (1867.9±302.6 kcal/day) (p<0.001), and remained lower when expressing RMR per kg body weight (postpartum: 22.3±2.7 vs pregnant: 23.7±3.4 kcal/kg, (p=0.034). Relative RMR (RMR per kg body weight) was negatively correlated to insulin resistance (HOMA-IR) during postpartum (r=−.463, p=0.034). Maternal HOMA-IR, inflammation (CRP), triglycerides (TAG), and carbohydrate oxidation were all positively correlated to postpartum weight retention (HOMA-IR: r=0.617, p=0.004; CRP: r=0.477, p=0.039, TAG: r=0.463, p=0.040; Carbohydrate Oxidation: (r=0.469, p=0.018). Conclusion Metabolic rate is lower during postpartum compared to pregnancy, and may be connected to insulin resistance. Maternal insulin resistance, inflammation, blood lipids, and substrate metabolism are all related to postpartum weight retention.

show abstract

Section: Discussionmentioning

confidence: 99%

Postpartum Metabolism: How Does It Change from Pregnancy and What are the Potential Implications?

Tinius¹,

Yoho²,

Blankenship³

et al. 2021

IJWH

View full text Add to dashboard Cite

show abstract

“…That is why, widely observed cell size variation on both intra- or interspecies levels and its implication for organisms functioning cannot be ignored [ 9 , 20 ]. In fact, cell size, cell number and cellular/organismal metabolism are jointly regulated by common signaling pathways, such as PI3K/Akt/mTOR, Myc, or Hippo-YAP [ 16 , 43 ]. These regulatory mechanisms are frequently deregulated during tumorigenesis, resulting in wide variations in cell sizes and increased proliferation in cancer cells [e.g.…”

Section: Cell Size Variation and Its Implication For Carcinogenesismentioning

confidence: 99%

“…Theoretically, there is little doubt that an evolutionary trade-off exists between CS, the rate of metabolism, and the ability to sustain effective defense mechanisms. Several studies indicate that any shift in average rate of energy expenditure may constitute a significant risk factor for many diseases, including cancer [ 27 , 35 , 43 , 52 ]. For example, the intoxication rate and overall immunological activation are strongly correlated with BMR [ 53 , 54 ; see Table 1 ].…”

Section: Cell Size Variation and Its Implication For Carcinogenesismentioning

confidence: 99%

Cell size, body size and Peto’s paradox

Maciak

2022

BMC Ecol Evo

Self Cite

View full text Add to dashboard Cite

Carcinogenesis is one of the leading health concerns afflicting presumably every single animal species, including humans. Currently, cancer research expands considerably beyond medicine, becoming a focus in other branches of natural science. Accumulating evidence suggests that a proportional scale of tumor deaths involves domestic and wild animals and poses economical or conservation threats to many species. Therefore, understanding the genetic and physiological mechanisms of cancer initiation and its progression is essential for our future action and contingent prevention. From this perspective, I used an evolutionary-based approach to re-evaluate the baseline for debate around Peto’s paradox. First, I review the background of information on which current understanding of Peto’s paradox and evolutionary concept of carcinogenesis have been founded. The weak points and limitations of theoretical modeling or indirect reasoning in studies based on intraspecific, comparative studies of carcinogenesis are highlighted. This is then followed by detail discussion of an effect of the body mass in cancer research and the importance of cell size in consideration of body architecture; also, I note to the ambiguity around cell size invariance hypothesis and hard data for variability of cell size across species are provided. Finally, I point to the new research area that is driving concepts to identify exact molecular mechanisms promoting the process of tumorigenesis, which in turn may provide a proximate explanation of Peto’s paradox. The novelty of the approach proposed therein lies in intraspecies testing of the effect of differentiation of cell size/number on the probability of carcinogenesis while controlling for the confounding effect of body mass/size.

show abstract

“…Besides, the control of type 2 diabetes consumers was inadequate because of smokeless tobacco (Afroz et al, 2019). While low BMR stimulated the risk of insulin resistance metabolism (MacIak et al, 2020). Thus, market segmentation and variables segmentation can be used to form the heterogeneous market into relatively homogenous clusters (Wilhelm, 2015).…”

Section: Characteristics Of Type 2 Diabetes Consumersmentioning

confidence: 99%

The Psychological Determinants toward The Value of Healthy Food among Type 2 Diabetes Mellitus Consumers

Nurliza

2022

MGI

View full text Add to dashboard Cite

Adults and middle-aged food consumers are the most at risk of type 2 diabetes, and these consumers are varied across demographics. While few and fragmented studies are associated with psychological determinants and healthy food value through food choices. Few consumer roles are involved in research for business success. The psychological determinants toward the value of healthy food for type 2 diabetes consumers used consumer behavior and psychological theories of consumer choices. An associative method with purposive sampling was conducted from 165 adults and middle-aged consumers with type 2 diabetes using Structural Equation Modeling/SEM. The finding showed that the belief, attitude, and mood affected the value of healthy food through food choice, but not psychological distress. The attitude had the greatest effect on food choice and toward the value of healthy food, and the causal of the highest result effect of life experiences. The belief was directly affected food choice and value, and the causal for the highest effect of self-consciousness and health maintenance. The mood negatively affected both food choice and value of healthy food mood and the causal for the smallest effect of health maintenance. The food choice affected the values of healthy food. Life experience was the most direct and indirect effect of food choice and self-consciousness was the most direct effect of the value of healthy food. Some highlights of this study were (i)market segmentation and segmentation variable; (ii)social marketing; (iii)mass media campaign by considering attitude, belief, and mood; and (iv)human capital management strategy with targeted audiences.

show abstract

Low basal metabolic rate as a risk factor for development of insulin resistance and type 2 diabetes

Cited by 15 publications

References 52 publications

Postpartum Metabolism: How Does It Change from Pregnancy and What are the Potential Implications?

Postpartum Metabolism: How Does It Change from Pregnancy and What are the Potential Implications?

Cell size, body size and Peto’s paradox

The Psychological Determinants toward The Value of Healthy Food among Type 2 Diabetes Mellitus Consumers

Contact Info

Product

Resources

About