Search Results

You are looking at 1 - 10 of 505 items for

  • Abstract: Aging x
  • Abstract: Cognition x
Clear All Modify Search
Sophie van Rijn Clinical Neurodevelopmental Sciences, Leiden University, Wassenaarseweg, Leiden, The Netherlands
TRIXY Center of Expertise, Leiden University Treatment and Expertise Centre (LUBEC), Sandifortdreef, Leiden, The Netherlands
Leiden Institute for Brain and Cognition, Leiden University, Wassenaarseweg, Leiden, The Netherlands

Search for other papers by Sophie van Rijn in
Google Scholar
PubMed
Close
,
Kimberly Kuiper Clinical Neurodevelopmental Sciences, Leiden University, Wassenaarseweg, Leiden, The Netherlands
TRIXY Center of Expertise, Leiden University Treatment and Expertise Centre (LUBEC), Sandifortdreef, Leiden, The Netherlands
Leiden Institute for Brain and Cognition, Leiden University, Wassenaarseweg, Leiden, The Netherlands

Search for other papers by Kimberly Kuiper in
Google Scholar
PubMed
Close
,
Nienke Bouw Clinical Neurodevelopmental Sciences, Leiden University, Wassenaarseweg, Leiden, The Netherlands
TRIXY Center of Expertise, Leiden University Treatment and Expertise Centre (LUBEC), Sandifortdreef, Leiden, The Netherlands
Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, Sophia Children’s Hospital, Dr. Molewaterplein, Rotterdam, The Netherlands

Search for other papers by Nienke Bouw in
Google Scholar
PubMed
Close
,
Evelien Urbanus Clinical Neurodevelopmental Sciences, Leiden University, Wassenaarseweg, Leiden, The Netherlands
TRIXY Center of Expertise, Leiden University Treatment and Expertise Centre (LUBEC), Sandifortdreef, Leiden, The Netherlands
Department of Clinical, Neuro, and Developmental Psychology, Vrije Universiteit Amsterdam, Van der Boechorststraat, Amsterdam, The Netherlands

Search for other papers by Evelien Urbanus in
Google Scholar
PubMed
Close
, and
Hanna Swaab Clinical Neurodevelopmental Sciences, Leiden University, Wassenaarseweg, Leiden, The Netherlands
TRIXY Center of Expertise, Leiden University Treatment and Expertise Centre (LUBEC), Sandifortdreef, Leiden, The Netherlands
Leiden Institute for Brain and Cognition, Leiden University, Wassenaarseweg, Leiden, The Netherlands

Search for other papers by Hanna Swaab in
Google Scholar
PubMed
Close

Investigating sex chromosome trisomies (SCTs) may help in understanding neurodevelopmental pathways underlying the risk for neurobehavioral problems and psychopathology. Knowledge about the neurobehavioral phenotype is needed to improve clinical care and early intervention for children with SCT. This is especially relevant considering the increasing number of early diagnosed children with the recent introduction of noninvasive prenatal screening. The TRIXY Early Childhood Study is a longitudinal study designed to identify early neurodevelopmental risks in children with SCT, aged 1–7 years. This review summarizes the results from the TRIXY Early Childhood Study, focusing on early behavioral symptoms in areas of autism spectrum disorder, attention-deficit hyperactivity disorder, and communication disorders, and underlying neurocognitive mechanisms in domains of language, emotion regulation, executive functioning, and social cognition. Behavioral symptoms were assessed through structured behavior observation and parental questionnaires. Neurocognition was measured using performance tests, eyetracking, and psychophysiological measures of arousal. In total, 209 children aged 1–7 years were included: 107 children with SCT (33 XXX, 50 XXY, and 24 XYY) and 102 age-matched population controls. Study outcomes showed early behavioral symptoms in young children with SCT, and neurocognitive vulnerabilities, already from an early age onward. Neurobehavioral and neurocognitive difficulties tended to become more pronounced with increasing age and were rather robust, independent of specific karyotype, pre/postnatal diagnosis, or ascertainment strategy. A more longitudinal perspective on neurodevelopmental ‘at-risk’ pathways is warranted, also including studies assessing the effectiveness of targeted early interventions. Neurocognitive markers that signal differences in neurodevelopment may prove to be helpful in this. Focusing on early development of language, social cognition, emotion regulation, and executive functioning may help in uncovering early essential mechanisms of (later) neurobehavioral outcome, allowing for more targeted support and early intervention.

Open access
Reshma Aziz Merchant Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore, Singapore
Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

Search for other papers by Reshma Aziz Merchant in
Google Scholar
PubMed
Close
,
Michael Wong Wai Kit Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

Search for other papers by Michael Wong Wai Kit in
Google Scholar
PubMed
Close
,
Jia Yi Lim Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

Search for other papers by Jia Yi Lim in
Google Scholar
PubMed
Close
, and
John E Morley Division of Geriatric Medicine, Saint Louis University School of Medicine, St Louis, Missouri, USA

Search for other papers by John E Morley in
Google Scholar
PubMed
Close

Objective

To investigate the association of normal BMI with central obesity (CO), high BMI with CO, high BMI without CO, and normal BMI without CO, with function and cognition in older adults.

Methods

Cross-sectional study involving 754 participants ≥ 65 years. Data collected include demographics, cognition, and physical measurements.

Results

Females had a higher prevalence of high BMI with CO and a lower prevalence of high BMI without CO than males (61.0% vs 44.6% and 4.6% vs 15.0%, respectively). Within gender, CO groups, regardless of BMI, had lower mini-mental state examination (MMSE), handgrip strength (HGS), and longer timed-up-and-go (TUG) scores. Overall, the high BMI without CO group had the highest MMSE scores, HGS, and shortest TUG. Amongst males, HGS was significantly lower in the normal BMI with CO group (B −3.28, 95% CI −6.32 to −0.23, P = 0.04). CO, regardless of normal/high BMI, had significantly longer TUG time (B 2.65, 95% CI 0.45 to 4.84, P = 0.02; B 1.07, 95% CI 0.25 to 1.88, P = 0.01, respectively) than normal BMI without CO group. CO was associated with lower MMSE scores in both genders but significant only in males with normal BMI and CO (B −1.60, 95% CI −3.15 to −0.06, P = 0.04).

Conclusion

CO may be a better predictor of obesity and adverse outcomes in older adults. High BMI without CO was associated with better outcomes especially in males but require further validation. Prospective longitudinal studies are needed to ascertain the impact of BMI and/or CO on function, cognition, mortality, and gender differences.

Open access
W N H Koek Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands

Search for other papers by W N H Koek in
Google Scholar
PubMed
Close
,
N Campos-Obando Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands

Search for other papers by N Campos-Obando in
Google Scholar
PubMed
Close
,
B C J van der Eerden Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands

Search for other papers by B C J van der Eerden in
Google Scholar
PubMed
Close
,
Y B de Rijke Department of Clinical Chemistry, Erasmus MC, University Medical Center, Rotterdam, the Netherlands

Search for other papers by Y B de Rijke in
Google Scholar
PubMed
Close
,
M A Ikram Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands

Search for other papers by M A Ikram in
Google Scholar
PubMed
Close
,
A G Uitterlinden Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands

Search for other papers by A G Uitterlinden in
Google Scholar
PubMed
Close
,
J P T M van Leeuwen Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands

Search for other papers by J P T M van Leeuwen in
Google Scholar
PubMed
Close
, and
M C Zillikens Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands

Search for other papers by M C Zillikens in
Google Scholar
PubMed
Close

Background

Sex differences in calcium and phosphate have been observed. We aimed to assess a relation with age.

Methods

We used the laboratory values of serum calcium, phosphate and albumin from three different samples ( 2005, 2010 and 2014 years) using the hospital information system of Erasmus MC, Rotterdam. The samples were divided into three age groups: 1–17, 18–44 and ≥45 years. Sex differences in calcium and phosphate were analyzed using ANCOVA, adjusting for age and serum albumin. Furthermore, sex by age interactions were determined and we analyzed differences between age groups stratified by sex.

Results

In all three samples there was a significant sex × age interaction for serum calcium and phosphate, whose levels were significantly higher in women compared to men above 45 years. No sex differences in the younger age groups were found. In men, serum calcium and phosphate levels were highest in the youngest age group compared to age groups of 18–44 and ≥45 years. In women, serum calcium levels were significantly higher in the age group 1–17 and the age group ≥45 years compared to the 18–44 years age group. In women, serum phosphate was different between the three different age groups with highest level in the group 1–17 years and lowest in the group 18–44 years.

Conclusion

There are age- dependent sex differences in serum calcium and phosphate. Furthermore, we found differences in serum calcium and phosphate between different age groups. Underlying mechanisms for these age- and sex- differences are not yet fully elucidated.

Open access
Patricia Iozzo Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy

Search for other papers by Patricia Iozzo in
Google Scholar
PubMed
Close
and
Maria Angela Guzzardi Institute of Clinical Physiology, National Research Council (CNR), Pisa, Italy

Search for other papers by Maria Angela Guzzardi in
Google Scholar
PubMed
Close

The prevalence of obesity has reached epidemic proportions and keeps growing. Obesity seems implicated in the pathogenesis of cognitive dysfunction, Alzheimer’s disease and dementia, and vice versa. Growing scientific efforts are being devoted to the identification of central mechanisms underlying the frequent association between obesity and cognitive dysfunction. Glucose brain handling undergoes dynamic changes during the life-course, suggesting that its alterations might precede and contribute to degenerative changes or signaling abnormalities. Imaging of the glucose analog 18F-labeled fluorodeoxyglucose (18FDG) by positron emission tomography (PET) is the gold-standard for the assessment of cerebral glucose metabolism in vivo. This review summarizes the current literature addressing brain glucose uptake measured by PET imaging, and the effect of insulin on brain metabolism, trying to embrace a life-course vision in the identification of patterns that may explain (and contribute to) the frequent association between obesity and cognitive dysfunction. The current evidence supports that brain hypermetabolism and brain insulin resistance occur in selected high-risk conditions as a transient phenomenon, eventually evolving toward normal or low values during life or disease progression. Associative studies suggest that brain hypermetabolism predicts low BDNF levels, hepatic and whole body insulin resistance, food desire and an unfavorable balance between anticipated reward from food and cognitive inhibitory control. Emerging mechanistic links involve the microbiota and the metabolome, which correlate with brain metabolism and cognition, deserving attention as potential future prevention targets.

Open access
Richard H Tuligenga INSERM U1018, Université Paris Sud, Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Bât 15/16, 16 Avenue Paul Vaillant Couturier, 94807 Paris, Villejuif Cedex, France
INSERM U1018, Université Paris Sud, Centre for Research in Epidemiology and Population Health, Hôpital Paul Brousse, Bât 15/16, 16 Avenue Paul Vaillant Couturier, 94807 Paris, Villejuif Cedex, France

Search for other papers by Richard H Tuligenga in
Google Scholar
PubMed
Close

The aim of this meta-analysis was to compare the effect of intensive vs standard glycaemic control on cognitive decline in type 2 diabetic patients. A systematic search of PubMed and ALOIS was conducted from inception up to October 30, 2014. Randomised controlled trials (RCTs) of type 2 diabetic patients comparing the rate of change in cognitive function among participants assigned to intensive vs standard glycaemic control were included. An inverse-variance-weighted random effects model was used to calculate standardised mean differences (SMDs) and 95% CIs. A total of 24 297 patients from five RCTs were included in the meta-analysis. Follow-up ranged from 3.3 to 6.2 years. The result from the pooled analysis showed that intensive glycaemic control was not associated with a slower rate of cognitive decline in patients with type 2 diabetes, compared with standard glycaemic control (SMD=0.02; 95% CI=−0.03 to 0.08) although there was some heterogeneity across individual studies (I 2=68%, P for heterogeneity=0.01). There are few diabetes control trials including cognitive endpoints and a small number of trials comparing intensive and standard treatment strategies. Currently, intensive glycaemic control should not be recommended for prevention of cognitive decline in patients with type 2 diabetes because there is no evidence of its effectiveness. Moreover, the use of intensive diabetes treatment results in an increase of risk of hypoglycaemia, which is linked to a greater risk of poor cognition.

Open access
Sandra N Slagter Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands

Search for other papers by Sandra N Slagter in
Google Scholar
PubMed
Close
,
Robert P van Waateringe Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands

Search for other papers by Robert P van Waateringe in
Google Scholar
PubMed
Close
,
André P van Beek Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands

Search for other papers by André P van Beek in
Google Scholar
PubMed
Close
,
Melanie M van der Klauw Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands

Search for other papers by Melanie M van der Klauw in
Google Scholar
PubMed
Close
,
Bruce H R Wolffenbuttel Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands

Search for other papers by Bruce H R Wolffenbuttel in
Google Scholar
PubMed
Close
, and
Jana V van Vliet-Ostaptchouk Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands

Search for other papers by Jana V van Vliet-Ostaptchouk in
Google Scholar
PubMed
Close

Introduction

To evaluate the prevalence of metabolic syndrome (MetS) and its individual components within sex-, body mass index (BMI)- and age combined clusters. In addition, we used the age-adjusted blood pressure thresholds to demonstrate the effect on the prevalence of MetS and elevated blood pressure.

Subjects and methods

Cross-sectional data from 74,531 Western European participants, aged 18–79 years, were used from the Dutch Lifelines Cohort Study. MetS was defined according to the revised NCEP-ATPIII. Age-adjusted blood pressure thresholds were defined as recommended by the eight reports of the Joint National Committee (≥140/90 mmHg for those aged <60 years, and ≥150/90 mmHg for those aged ≥60 years).

Results

19.2% men and 12.1% women had MetS. MetS prevalence increased with BMI and age. Independent of BMI, abdominal obesity dominated MetS prevalence especially in women, while elevated blood pressure was already highly prevalent among young men. Applying age-adjusted blood pressure thresholds resulted in a 0.2–11.9% prevalence drop in MetS and 6.0–36.3% prevalence drop in elevated blood pressure, within the combined sex, BMI and age clusters.

Conclusions

We observed a gender disparity with age and BMI for the prevalence of MetS and, especially, abdominal obesity and elevated blood pressure. The strict threshold level for elevated blood pressure in the revised NCEP-ATPIII, results in an overestimation of MetS prevalence.

Open access
Sebastião Freitas de Medeiros Department of Gynecology and Obstetrics, Medical School, Federal University of Mato Grosso, Cuiabá, Mato Grosso, Brazil
Tropical Institute of Reproductive Medicine, Cuiabá, Mato Grosso, Brazil

Search for other papers by Sebastião Freitas de Medeiros in
Google Scholar
PubMed
Close
,
Márcia Marly Winck Yamamoto Tropical Institute of Reproductive Medicine, Cuiabá, Mato Grosso, Brazil

Search for other papers by Márcia Marly Winck Yamamoto in
Google Scholar
PubMed
Close
,
Matheus Antônio Souto de Medeiros Tropical Institute of Reproductive Medicine, Cuiabá, Mato Grosso, Brazil

Search for other papers by Matheus Antônio Souto de Medeiros in
Google Scholar
PubMed
Close
,
Bruna Barcelo Barbosa Tropical Institute of Reproductive Medicine, Cuiabá, Mato Grosso, Brazil

Search for other papers by Bruna Barcelo Barbosa in
Google Scholar
PubMed
Close
,
José Maria Soares Junior Disciplina de Ginecologia, Departamento de Obstetrícia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, São Paulo, Brazil

Search for other papers by José Maria Soares Junior in
Google Scholar
PubMed
Close
, and
Edmund Chada Baracat Disciplina de Ginecologia, Departamento de Obstetrícia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, São Paulo, Brazil

Search for other papers by Edmund Chada Baracat in
Google Scholar
PubMed
Close

Objective

To verify whether aging can modify the clinical and biochemical characteristics of women with polycystic ovary syndrome (PCOS).

Material and methods

This observational cross-sectional study was conducted at the reproductive endocrinology clinics of Julio Muller University Hospital and Tropical Institute of Reproductive Medicine in Cuiabá, MT, Brazil, between 2003 and 2017. Both, 796 PCOS and 444 non-PCOS normal cycling women underwent the same examination. PCOS was diagnosed using the Rotterdam criteria as recommended for adolescent and adult subjects. Anthropometric, metabolic, and endocrinological modifications with aging were initially examined in the two groups: control and PCOS. Further analyses were performed after a 5-year age stratification of data throughout the reproductive period. All participants signed a consent form approved by the local ethical committee.

Results

Biomarkers of adiposity were more remarkable in African descendant PCOS women. Body weight, waist/hip ratio, fat mass, and BMI were higher in PCOS women and tended to increase at all 5 age-strata, between ≤19 and 35 years of age. Serum androgen levels decreased with aging, markedly in PCOS subjects (P < 0.01 for all age-strata comparisons), but remained elevated when compared with the levels found in controls. Carbohydrate markers, triglycerides, and total cholesterol tended to increase over time in PCOS (P < 0.01 for all age-strata comparisons). Total cholesterol also tended to increase with age in non-PCOS women (P = 0.041).

Conclusion

The present study has shown that the advancing age influences many features of PCOS women. Biochemical hyperandrogenism, the core criterion recommended in the current systems to define the syndrome, showed statistically significant tendencies to decrease with aging progression but did not normalize. The use of age-adjusted features for the diagnosis of PCOS are recommended.

Open access
Tingting Jia Department of Implantology, School of Stomatology, Shandong University, Jinan, People’s Republic of China
Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, People’s Republic of China

Search for other papers by Tingting Jia in
Google Scholar
PubMed
Close
,
Ya-nan Wang Department of Implantology, School of Stomatology, Shandong University, Jinan, People’s Republic of China
Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, People’s Republic of China

Search for other papers by Ya-nan Wang in
Google Scholar
PubMed
Close
,
Dongjiao Zhang Department of Implantology, School of Stomatology, Shandong University, Jinan, People’s Republic of China
Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, People’s Republic of China

Search for other papers by Dongjiao Zhang in
Google Scholar
PubMed
Close
, and
Xin Xu Department of Implantology, School of Stomatology, Shandong University, Jinan, People’s Republic of China
Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, People’s Republic of China

Search for other papers by Xin Xu in
Google Scholar
PubMed
Close

Diabetes-induced advanced glycation end products (AGEs) overproduction would result in compromised osseointegration of titanium implant and high rate of implantation failure. 1α,25-dihydroxyvitamin D3 (1,25VD3) plays a vital role in osteogenesis, whereas its effects on the osseointegration and the underlying mechanism are unclear. The purpose of this study was to investigate that 1,25VD3 might promote the defensive ability of osseointegration through suppressing AGEs/RAGE in type 2 diabetes mellitus. In animal study, streptozotocin-induced diabetic rats accepted implant surgery, with or without 1,25VD3 intervention for 12 weeks. After killing, the serum AGEs level, bone microarchitecture and biomechanical index of rats were measured systematically. In vitro study, osteoblasts differentiation capacity was analyzed by alizarin red staining, alkaline phosphatase assay and Western blotting, after treatment with BSA, AGEs, AGEs with RAGE inhibitor and AGEs with 1,25VD3. And the expression of RAGE protein was detected to explore the mechanism. Results showed that 1,25VD3 could reverse the impaired osseointegration and mechanical strength, which possibly resulted from the increased AGEs. Moreover, 1,25VD3 could ameliorate AGEs-induced damage of cell osteogenic differentiation, as well as downregulating the RAGE expression. These data may provide a theoretical basis that 1,25VD3 could work as an adjuvant treatment against poor osseointegration in patients with type 2 diabetes mellitus.

Open access
Luca Boeri Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
Department of Urology, Foundation IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, University of Milan, Milan, Italy

Search for other papers by Luca Boeri in
Google Scholar
PubMed
Close
,
Paolo Capogrosso Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy

Search for other papers by Paolo Capogrosso in
Google Scholar
PubMed
Close
,
Walter Cazzaniga Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Walter Cazzaniga in
Google Scholar
PubMed
Close
,
Edoardo Pozzi Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Edoardo Pozzi in
Google Scholar
PubMed
Close
,
Luigi Candela Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Luigi Candela in
Google Scholar
PubMed
Close
,
Federico Belladelli Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Federico Belladelli in
Google Scholar
PubMed
Close
,
Davide Oreggia Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Davide Oreggia in
Google Scholar
PubMed
Close
,
Eugenio Ventimiglia Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy

Search for other papers by Eugenio Ventimiglia in
Google Scholar
PubMed
Close
,
Nicolò Schifano Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Nicolò Schifano in
Google Scholar
PubMed
Close
,
Giuseppe Fallara Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Giuseppe Fallara in
Google Scholar
PubMed
Close
,
Marina Pontillo Laboratory Medicine Service, IRCCS Ospedale San Raffaele, Milan, Italy

Search for other papers by Marina Pontillo in
Google Scholar
PubMed
Close
,
Costantino Abbate Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy

Search for other papers by Costantino Abbate in
Google Scholar
PubMed
Close
,
Emanuele Montanari Department of Urology, Foundation IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, University of Milan, Milan, Italy

Search for other papers by Emanuele Montanari in
Google Scholar
PubMed
Close
,
Francesco Montorsi Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Francesco Montorsi in
Google Scholar
PubMed
Close
, and
Andrea Salonia Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy
University Vita-Salute San Raffaele, Milan, Italy

Search for other papers by Andrea Salonia in
Google Scholar
PubMed
Close

Objective:

We aimed to test the association between age, BMI and sex-hormone–binding globulin (SHBG) in a homogenous cohort of white-European men presenting for primary couple’s infertility.

Design:

Retrospective study.

Methods:

Data from 1547 infertile men were analysed. Health-significant comorbidities were scored with the Charlson comorbidity index (CCI). Fasting serum hormones were measured in every patient. Age was considered according to quartile groups (<33, 33-41, >41 years) and BMI as normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2) and obesity (>30 kg/m2). Descriptive statistics and linear regression analysis tested the associations between age, BMI and SHBG.

Results:

Median SHBG levels increased across quartiles of age and decreased along with BMI increases (all P < 0.001). For each year increase in age, SHBG increased 0.32 nmol/L; conversely, for each unit increase in BMI, SHBG decreased by 1.1 nmol/L (all P < 0.001). SHBG levels decline with increasing BMI was greater than SHBG progressive increase with age. Overall, BMI explained 3.0 times more of the variability in SHBG than did ageing. At multivariate linear model, age and BMI were the most significant factors influencing SHBG concentration (all P < 0.001), after accounting for CCI, albumin levels and smoking status.

Conclusions:

We found a wide distribution of SHBG concentrations across age and BMI values in primary infertile men. The association between BMI and lowered SHBG levels seems to be greater than the association of ageing with increased SHBG.

Open access
Fang Lv Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Fang Lv in
Google Scholar
PubMed
Close
,
Xiaoling Cai Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Xiaoling Cai in
Google Scholar
PubMed
Close
,
Chu Lin Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Chu Lin in
Google Scholar
PubMed
Close
,
Tianpei Hong Department of Endocrinology and Metabolism, Peking University Third Hospital, Beijing, China

Search for other papers by Tianpei Hong in
Google Scholar
PubMed
Close
,
Xiaomei Zhang Department of Endocrinology, Peking University International Hospital, Beijing, China

Search for other papers by Xiaomei Zhang in
Google Scholar
PubMed
Close
,
Zhufeng Wang Department of Endocrinology and Metabolism, China Academy of Traditional Chinese Medicine Guanganmen Hospital, Beijing, China

Search for other papers by Zhufeng Wang in
Google Scholar
PubMed
Close
,
Huifang Xing Department of Endocrinology and Metabolism, Beijing Mentougou Hospital, Beijing, China

Search for other papers by Huifang Xing in
Google Scholar
PubMed
Close
,
Guizhi Zong Department of Endocrinology and Metabolism, Beijing Jingmei Group General hospital, Beijing, China

Search for other papers by Guizhi Zong in
Google Scholar
PubMed
Close
,
Juming Lu Department of Endocrinology, Chinese PLA General Hospital, Beijing, China

Search for other papers by Juming Lu in
Google Scholar
PubMed
Close
,
Xiaohui Guo Department of Endocrinology, Peking University First Hospital, Beijing, China

Search for other papers by Xiaohui Guo in
Google Scholar
PubMed
Close
,
Jing Wu Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Jing Wu in
Google Scholar
PubMed
Close
,
Leili Gao Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Leili Gao in
Google Scholar
PubMed
Close
,
Xianghai Zhou Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Xianghai Zhou in
Google Scholar
PubMed
Close
,
Xueyao Han Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Xueyao Han in
Google Scholar
PubMed
Close
, and
Linong Ji Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China

Search for other papers by Linong Ji in
Google Scholar
PubMed
Close

Aims

To estimate the sex differences in the prevalence of overweight and obesity aged 20–89 in Chinese patients with type 2 diabetes (T2D).

Methods

811,264 patients with T2D from six hospital-based, cross-sectional studies, and 46,053 subjects from the general population were included in our analysis. Prevalence of underweight, overweight, obesity were calculated in each sex.

Results

In patients with T2D, the standardized prevalence of underweight (BMI <18.5 kg/m2), overweight (24 kg/m2 ≤ BMI < 28 kg/m2), and general obesity (BMI ≥28 kg/m2) were 2.2%, 43.2%, and 11.6%, respectively. Similar trend patterns of the prevalence of underweight and overweight were observed in general and T2D population, in males and females with T2D (all P for trend <0.01). In patients with T2D, patients at a younger age and older age were more likely to be underweight. The prevalence of overweight increased first, then stabilized or decreased with age. However, different trend patterns of the prevalence of obesity in males and females were found. In males, the prevalence of obesity decreased first, and then stabilized after 60 years of age. In females, the prevalence of obesity decreased first, then increased after 50 years of age. In the general population, the prevalence of obesity increased with age in females, while, the trend of prevalence of obesity with age in males was not obvious.

Conclusion

Different trends in the prevalence of obesity with age in different sex were found in Chinese patients with T2D.

Open access