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were performed of TF and VFR to determine sensitivity and specificity
to predict MS. Cutoff points were determined by Youden index.
Results: Areas under curve (AUC) of TF were 0.64 ± 0.05 (95%CI 0.55–
0.73)(P = 0.005) and 0.80 ± 0.08 (95%CI 0.69–0.88) (P = 0.0001) for
female and male respectively. AUCs of VFR were 0.62 ± 0.05 (95%CI
0.53–0.71) (P = 0.001) and 0.78 ± 0.86 (95%CI 0.67–0.87) (P = 0.0006)
for female and male respectively. Cutoff points of TF and VFR were
43.7% and 11.5 for female and 34% and 17 for male.
Conclusions: The main finding of this study showed a better
sensitivity and specificity of TF and VFR for male than female
population to predict MS.
P-621
Adiposity indices performance for recognizing metabolic
syndrome in elderly: COMeS Study
J.R. Alvero-Cruz1, R. Fernández Vázquez1, J. Martínez Blanco2.
1Universidad de Málaga, Andalucía Tech. Dpto. de Fisiología Humana,
Histología Humana, Anatomía Patológica y Educación Física y Deportiva,
2Unidad de Residencias, Distrito Sanitario Costa del Sol, Junta de
Andalucía, Málaga, Spain
Introduction: Metabolic syndrome (MS) is a condition that includes
thepresence of a cluster of risk factors specific for cardiovascular
disease. Several definitions of MS have been proposed, with criteria
based on various combinations of abdominal or visceral obesity,
insulin resistance, raised blood pressure and dyslipidemia.
Objective: The aim of this study was to evaluate the relation of
adiposity indices to predict metabolic syndrome in elderly population
of both sexes.
Methods: Two hundred and ten subjects participate in the study (131
female and 79 male). MS was defined as International Diabetes
Federation criteria. Receiver operating characteristic curves (ROC)
analyses were performed of TG/HDL ratio and Lipid Accumulation
Product (LAP) to determine sensitivity and specificity to predict MS.
Results: Areas under curve (AUC) of TG/HDL ratio were 0.80 ± 0.04
(95%CI 0.72 –0.87) (P < 0.0001) and 0.66 ± 0.08 (95%CI 0.54–0.77)
(P = 0.06) for female and male respectively. AUC of LAP were
0.72 ± 0.05 (95%CI 0.73–0.80) (P < 0.0001) and 0.80 ± 0.06(95%CI
0.68–0.88) (P < 0.0001) for female and male respectively.
Conclusions: The main finding of this analysis showed a better
sensitivity and specificity of TG/HDL ratio for female and Lipid
accumulation product for male to predict MS
P-622
A comparison of the measurements with biochemical markers of
bone turnover and bone mineral density in the assessment of the
efficiency of osteoporosis treatment
M.B. Ataoğlu, M. Özer, T. Ayanoğlu, B. Sarıkaya, O. Gül. Deparment of
Orthopaedics and Traumatology, Gazi University, Besevler, Ankara
Introduction: This study aims to compare the measurements using
biochemical markers of bone turnover and bone mineral density
(BMD) in the assessment of the efficiency of osteoporosis treatment.
Patients and methods: Between March 2006 and December 2008,
166 patients with osteoporosis in our clinic were included. Patients
who were out of contact due to death or other reasons during follow-
up were excluded. We compared the measurements of urinary
biochemical markers of bone turnover using cross-linked N-telopep-
tide (Ntx) values and BMD in 60 patients (49 females, 11 males; mean
age: 65.7 years; range: 42–87 years) with osteoporosis who were
treatment-naive and completed study.
Results: Twenty-nine (48.3%) of the patients received surgical treat-
ment, while 31 (51.7%) received conservative therapy. Urine NTx values
of the patients decreased 38.82% at three months; 51.99% at sixmonths
and 66.41% at 12 months. Lumbar vertebra BMD increased by 20.7%
and femur neck BMD increased by 11.9% at the end of the first year.
Key conclusion: Urine NTx values respond to osteoporosis treatment
faster than BMD measurements; thereby it may be suitable to use this
parameter for the monitorization of the treatment efficiency.
P-623
Association among Adherence to the Mediterranean diet, Muscle
Strength and Phase Angle in Frail Elderly Subjects Addressing
European PERsonalised ICT Supported Services Project for
Independent Living and Active Ageing (PERSSILAA)
L. Barrea1, A. Renzullo 2, C. Di Somma3, M. Illario4, V. Zhukovskaya2,
L. Albanese2, V. Mele2, V. De Luca5, G. Iadicicco5, F. Carotenuto5,
P. Riccio5, G. Toscano5, A. Colao2, S. Savastano2. 1I.O.S. & COLEMAN Srl,
2Dipartimento di Medicina Clinica e Chirurgia, Federico II University,
3IRCCS SDN, Napoli Via Gianturco 113, 80143, Naples, Italy; 4Department
of Translational Medical Sciences, Federico II University, and R&D Unit,
Federico II University Hospital, 5UOS Ricerca e Sviluppo, Azienda
Ospedaliera Univeristaria “Federico II” Naples, Italy
Frailty is a major geriatric syndrome including low muscle mass and
strength. Bioimpedance phase angle (PhA) is a reliable measure to
predict muscle function. Few studies have investigated the effect of a
Mediterranean diet (MD) on frailty in elderly subjects. Toexamine the
associations between frailty status, PhA, and adherence to the MDin a
group of elderlysubjects who participated in the PERSSILAAproject
Eighty-five subjects (9 males and 76 females, mean age: 71.7 ± 5.6 yrs)
were consecutively enrolled. Muscle strength was evaluated by hand
grip (HG) strength using a grip strength dynamometer. PhA was
assessed by bioelectrical impedance analysis. A 14-item questionnaire
PREDIMED was used for the assessment of adherence to the MD. The
mean of HG and PhA were 19.2 ± 6.0 kg and 5.6 ± 1.3°, respectively.
Elderly participants had in the 65.9% an average adherence to the MD,
while the 16.5% had a lowand a remaining had a high adherence to the
MD; the mean of PREDIMED score was 7.6 ± 2.1. PREDIMED score
was negatively associated with the age (r = −0.236, p = 0.031) and
positively with HG and PhA (r = 0.760 and r = 0.807, p < 0.001;
respectively), independently of BMI. At multiple regression analysis
among HG and PhA, the latter was the major predictors of PREDIMED
score (r2 = 0.643, β = 0.802, t = 7.492, p < 0.001).
Conclusions: The adherence to the MD in elderlysubjects is
associatedwithlow muscle strength, and small PhAs. Our study
highlights the usefulness of developing integrated and community-
based ICT-supported health services to detect and prevent frailty in
elderly using adequate nutritional and physical activity programs that
are tailored to local sociocultural contexts.
P-624
Influences on diet quality in older age: the importance of social
factors
I. Bloom1,2, M. Edwards1, K. Jameson1, H. Syddall1, E. Dennison1, C.
R. Gale1,3, J. Baird1, C. Cooper1,4, A.A. Sayer1,5–7, S. Robinson 1. 1MRC
Lifecourse Epidemiology Unit, University of Southampton, 2National
Institute for Health Research, Southampton Biomedical Research Centre
(in Nutrition), Southampton, 3Centre for Cognitive Ageing and Cognitive
Epidemiology, University of Edinburgh, Edinburgh, 4NIHR
Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford,
5NIHR Newcastle BRC in Ageing and Chronic Disease, Newcastle
University and Newcastle upon Tyne NHS Foundation Trust, 6Institute of
Neuroscience and Institute for Ageing, Newcastle University, Newcastle
uponTyne, 7NIHR Collaboration for Leadership in Applied Health Research
and Care: Wessex, Southampton, UK
Introduction: Poor diet quality is common among older people, but
little is known about influences on food choice, including the role
of psychosocial factors at this age. This study aimed to identify
psychosocial correlates of diet quality in a community-dwelling
population of men and women aged 59– 73 years, and to describe
relationships with change in diet quality over 10 years.
Methods: Participants of the Hertfordshire Cohort Study (HCS) were
assessed at baseline (1998– 2001: 1048 men, 862 women); 183 men
and 189 women were re-assessed in 2011. Diet was assessed by
administered food frequency questionnaire; diet scores were calcu-
lated to describe diet quality at baseline and follow-up. A range of
psychosocial factors (social support, social network, participation in
Poster presentations / European Geriatric Medicine 7S1 (2016) S29–S259 S193