Serum prolactin concentrations as risk factor of metabolic syndrome or type 2 diabetes?

Background To investigate potential associations of serum prolactin concentration (PRL) with metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM), previously observed in small and selected study samples, in a large population-based cohort. Methods Data from 3,993 individuals (2,027 women) a...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:BMC endocrine disorders Ročník 13; číslo 1; s. 12
Hlavní autoři: Balbach, Lisa, Wallaschofski, Henri, Völzke, Henry, Nauck, Matthias, Dörr, Marcus, Haring, Robin
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 21.03.2013
BioMed Central Ltd
Springer Nature B.V
Témata:
Diabetes
Diabetes mellitus
Endocrinology
Gender
Insulin resistance
Medicine
Medicine & Public Health
Metabolic Diseases
Metabolic disorders
Metabolic syndrome
Metabolic syndrome X
Physiological aspects
Prolactin
Research Article
Risk factors
rology
Ships
Studies
Type 2 diabetes
Germany
Poland, Pomerania
Multivariable Regression Model
Cardiometabolic Risk Factor
Serum Prolactin Concentration
Incident MetS
ISSN:1472-6823, 1472-6823
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Background To investigate potential associations of serum prolactin concentration (PRL) with metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM), previously observed in small and selected study samples, in a large population-based cohort. Methods Data from 3,993 individuals (2,027 women) aged 20-79 years from the population-based Study of Health of Pomerania (SHIP) were used to analyse cross-sectional and longitudinal associations of PRL with MetS and T2DM risk in age- and multivariable-adjusted Poisson regression models. PRL were log-transformed and modelled as continuous (per standard deviation (SD) increase) and categorical predictor (sex-specific quartiles) variable, separately for men and woman. Results Cross-sectional analyses showed an inverse association between low PRL concentrations and prevalent T2DM risk in men and women after multivariable-adjustment (men: Q1 vs. Q4: relative risk (RR), 1.55; 95% confidence interval (CI), 1.13 – 2.14; women: Q1 vs. Q4: RR, 1.70; 95% CI, 1.10 – 2.62). Likewise, higher PRL concentrations were associated with significantly lower T2DM risk (RR per SD increase in log-PRL: 0.83; 95% CI, 0.72 – 0.95 in men, and 0.84; 95% CI, 0.71 – 0.98 in women, respectively). An inverse association between PRL and MetS risk was not retained after multivariable adjustment. Longitudinal analyses yielded no association of PRL with incident MetS or T2DM. Conclusion The present study is the first large population-based study reporting a cross-sectional inverse association between PRL and prevalent T2DM in both genders. But the absent longitudinal associations do not support a causal role of PRL as a risk factor of incident MetS or T2DM.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:1472-6823
1472-6823
DOI:10.1186/1472-6823-13-12