Frailty prevalence and factors associated with the Frailty Phenotype and Frailty Index: Findings from the North West Adelaide Health Study

2017 ◽  
Vol 37 (2) ◽  
pp. 120-126 ◽  
Author(s):  
Mark Q Thompson ◽  
Olga Theou ◽  
Solomon Yu ◽  
Robert J Adams ◽  
Graeme R Tucker ◽  
...  
2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 1394-1394
Author(s):  
M.Q. Thompson ◽  
O. Theou ◽  
S.C. Yu ◽  
K. Lange ◽  
R. Adams ◽  
...  

2006 ◽  
Vol 18 (6) ◽  
pp. 304-305
Author(s):  
N Potts ◽  
D Wilson ◽  
A Taylor ◽  
T Gill ◽  
G Schrader ◽  
...  

2009 ◽  
Vol 36 (2) ◽  
pp. 371-377 ◽  
Author(s):  
ANTONIA COLE ◽  
TIFFANY K. GILL ◽  
E. MICHAEL SHANAHAN ◽  
PATRICK PHILLIPS ◽  
ANNE W. TAYLOR ◽  
...  

Objectives.To assess the association of shoulder pain and/or stiffness and diabetes mellitus in a population based cohort.Methods.Participants were randomly recruited from the North West Adelaide Health Study, a longitudinal, population based study. In the second stage, 3128 participants were assessed for diabetes mellitus and shoulder complaints via questionnaires, the Shoulder Pain and Disability Index (SPADI), physical assessment, blood sampling for fasting plasma glucose, and HbA1c levels.Results.Overall, 682 (21.8%) participants experienced shoulder pain and/or stiffness and 221 participants (7.1%) fulfilled criteria for diabetes mellitus. Those with diabetes had a higher prevalence of shoulder pain and/or stiffness (27.9% vs 21.3%; p = 0.025), and poorer SPADI disability subscore (p = 0.01) and total SPADI score (p = 0.02). After controlling for age, sex, obesity, and current smoking, the prevalence of shoulder pain and/or stiffness did not differ significantly between those with diabetes and those without (OR 1.05, 95% CI 0.76–1.45), nor were there significant differences in the SPADI disability subscore (p = 0.39) or total SPADI score (p = 0.32) between the 2 groups. After adjustment for covariates, there was no association between higher levels of HbA1c and shoulder pain and/or stiffness (p > 0.8). Range of shoulder movement was significantly reduced in those with diabetes (p < 0.05).Conclusions.There is a higher prevalence of shoulder pain and/or stiffness in people with diabetes mellitus. The differences observed between those with diabetes and those without can largely be explained by the confounding factors of age, sex, obesity, and current smoking.


BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e016224 ◽  
Author(s):  
Zumin Shi ◽  
Evan Atlantis ◽  
Anne W Taylor ◽  
Tiffany K Gill ◽  
Kay Price ◽  
...  

ObjectiveTo examine the association between antidepressant use and weight gain, as well as the interaction with lifestyle factors.DesignLongitudinal study.Setting and participantsWe used data from 2334 adults from two stages (4.4 years apart) of the North West Adelaide Health Study, including validated diet and lifestyle questionnaires, measured body weight and linked pharmaceutical prescription data.Main outcome measuresBody weight change.Results188 (8.1%) participants had a mean annual number of 1–2 antidepressant prescriptions, and 212 (9.1%) had over two prescriptions. The mean annual weight gain was 0.12, 0.18 and 0.28 kg in non-users, low (1–2 prescriptions/year) and high (>2 prescriptions/year) antidepressant users, respectively. In multivariable regression models, antidepressant use was positively associated with weight gain: high antidepressant users gained an extra 0.22 (95% CI 0.00 to 0.44) kg per year. This association was mainly due to selective serotonin reuptake inhibitor (SSRI) use. High SSRI users gained 0.48 (95% CI 0.20 to 0.76) kg more than non-users. There was no association between tricyclic or other antidepressant use and weight gain. The association between SSRI use and weight gain was stronger among those with high intake of Western diet, greater sedentary activity, and who smoked.ConclusionsSSRIs use was associated with weight gain in the presence of unhealthy behaviours including Western diet, sedentarism and smoking.


2017 ◽  
Vol 45 (6) ◽  
pp. 675-682 ◽  
Author(s):  
Emmanuel O Adewuyi ◽  
Yun Zhao ◽  
Asa Auta ◽  
Reeta Lamichhane

Aim: The aim of this study was to assess the rural–urban differences in the prevalence and factors associated with non-utilization of healthcare facility for childbirth (home delivery) in Nigeria. Methods: Dataset from the Nigeria demographic and health survey, 2013, disaggregated by rural–urban residence were analyzed with appropriate adjustment for the cluster sampling design of the survey. Factors associated with home delivery were identified using multivariable logistic regression analysis. Results: In rural and urban residence, the prevalence of home delivery were 78.3% and 38.1%, respectively ( p < 0.001). The lowest prevalence of home delivery occurred in the South-East region for rural residence (18.6%) and the South-West region for urban residence (17.9%). The North-West region had the highest prevalence of home delivery, 93.6% and 70.5% in rural and urban residence, respectively. Low maternal as well as paternal education, low antenatal attendance, being less wealthy, the practice of Islam, and living in the North-East, North-West and the South-South regions increased the likelihood of home delivery in both rural and urban residences. Whether in rural or urban residence, birth order of one decreased the likelihood of home delivery. In rural residence only, living in the North-Central region increased the chances of home delivery. In urban residence only, maternal age ⩾ 36 years decreased the likelihood of home delivery, while ‘Traditionalist/other’ religion and maternal age < 20 years increased it. Conclusion: The prevalence of home delivery was much higher in rural than urban Nigeria and the associated factors differ to varying degrees in the two residences. Future intervention efforts would need to prioritize findings in this study.


2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Melanie Straiton ◽  
Janet F Grant ◽  
Helen R Winefield ◽  
Anne Taylor

2019 ◽  
Vol 75 (2) ◽  
pp. 387-393 ◽  
Author(s):  
Qian-Li Xue ◽  
Jing Tian ◽  
Jeremy D Walston ◽  
Paulo H M Chaves ◽  
Anne B Newman ◽  
...  

Abstract Background To evaluate the discordance in frailty classification between the frailty index (FI) and the physical frailty phenotype (PFP) and identify factors discriminating those with discordant frailty classification from each other and from those for whom the assessments agree. Methods A prospective observational study of older adults aged 65 and older selected from Medicare eligibility lists in four U.S. communities (n = 5,362). The PFP was measured by the Cardiovascular Health Study PFP. Participants meeting three or more of the five criteria were deemed frail. The FI was calculated as the proportion of deficits in an a priori selected set of 48 measures, and participants were classified as frail if FI is greater than 0.35. Results The prevalence of frailty was 7.0% by the PFP and 8.3% by the FI. Of the 730 deemed frail by either instrument, only 12% were in agreement, whereas 39% were classified as frail by the PFP, but not the FI, and 48% were classified as frail by the FI, but not the PFP. Participants aged 65–72 years or with greater disease burden were most likely to be characterized as being FI-frail, but not PFP-frail. The associations of frailty with age and mortality were stronger when frailty was measured by the PFP rather than the FI. Conclusions Despite comparable frailty prevalence between the PFP and the FI, there was substantial discordance in individual-level classification, with highest agreement existing only in the most vulnerable subset. These findings suggest that there are clinically important contexts in which the PFP and the FI cannot be used interchangeably.


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