Prevalence of Iron Deficiency and Health-related Quality of Life among Female Students

Centre Hospitalo Universitaire de Clermont-Ferrand, Clermont-Ferrand, France.
Journal of the American College of Nutrition (Impact Factor: 1.45). 04/2008; 27(2):337-41. DOI: 10.1080/07315724.2008.10719709
Source: PubMed


To investigate prevalence of iron deficiency and examine the relationship between iron status and Health-related Quality of Life among female students.
Cross-sectional study.
Data were collected from 543 female students, aged 17 to 38 years, attending University or secondary schools in Clermont-Ferrand (France) and its metropolitan area. Three groups were defined, according to the rate of serum ferritin: iron deficient (serum ferritin < 15 microg/L), iron depletion borderline (serum ferritin 15-20 microg/L), and iron replete (serum ferritin > 20 microg/L). Those 3 groups of menstruating female students were compared in terms of health-related quality of life using univariate analysis.
Health-related Quality of Life based on SF-36 questionnaire, and iron status measured by serum ferritin.
The prevalence of iron deficiency was 19.3%, the prevalence of borderline iron status was 11.4%. Regarding the SF-36 questionnaire, the only significant difference between iron deficient and iron replete female students concerned the dimension reflecting 'general health', which was significantly lower in iron deficient group (p = 0.015).
Iron deficiency seems to impair the perceived general health in female students. Further research should be conducted on this little known subject.

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Available from: J. Roblin, Sep 23, 2014
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    • "HRQoL is influenced by a number of factors. Previous studies on university students in different countries have linked their HRQoL with a wide variety of health, emotional, and social variables – it was shown that HRQoL is related to asthma (Adler et al. 2008), chronic inflammatory bowel disease (Fedele et al. 2009), generalized soft tissue rheumatic conditions (Eyigor et al. 2008), iron deficiency (Grondin et al. 2008), eating disorders (Doll et al. 2005), upper respiratory tract diseases (Teul et al. 2008), dysmenorrhea (Unsal et al. 2010), premenstrual syndrome (Nisar et al. 2008), chronic fatigue and sleep deprivation (Varni and Limbers 2008), depression (Pekmezovic et al. 2011), stress (Marshall et al. 2008), emotional intelligence (Extremera and Fernandez-Berrocal, 2006), social phobia (Ghaedi et al. 2010), and personality traits (Chu-Hsin et al. 2007). "
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    ABSTRACT: The purpose of this study was to assess the health-related quality of life (HRQoL) in a sample of Croatian university students and to determine its association with sociodemographic and lifestyle characteristics. The study was conducted on a random sample of 1750 students in Zagreb, Croatia. We used the 12-item Short-Form Health Survey (SF-12v2) and separate questions on sex, age, body mass index (BMI), settlement size, disposable income, cigarette consumption, alcohol consumption, and exercise frequency. The HRQoL scale on which Croatian students scored the highest was Physical Functioning. High mean scores were also found for other physical health measures, while the scores in mental health scales were somewhat lower. Male students scored significantly higher than females on all SF-12 scales (p < 0.05). The regression analysis showed that Physical Component Summary score (PCS) is negatively related to BMI (partial r = −0.09) and cigarette consumption (partial r = −0.06), and positively related to alcohol consumption and exercise frequency (partial r = 0.08, for both), while Mental Component Summary score (MSC) is positively related to BMI (partial r = 0.07) and exercise frequency (partial r = 0.10). Although HRQoL-scores for the Croatian students were higher than in the general population of Croatia and student populations in several other countries, there is still room for improvement, especially in the mental health aspect. In general, HRQoL was found to be significantly lower among females and smokers, but positively related with exercise frequency. In order to improve students’ HRQoL, university authorities should consider initiating health-promotion programs with emphasis on females, smokers and non-exercisers.
    Applied Research in Quality of Life 11/2012; 8(4). DOI:10.1007/s11482-012-9203-9 · 0.82 Impact Factor
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    • "Although direct estimates of the worldwide prevalence of iron deficiency are problematic [1], anemia—a late manifestation of iron deficiency—affects an estimated 30% of nonpregnant women of reproductive age and 42% of pregnant women [2]. Iron deficiency in women has been related to fatigue and poorer general health [3] [4] [5] and emotional and cognitive function [6] [7] [8] [9] [10] [11]. However, the relationship between postpartum depression (PPD) and maternal iron status remains unclear. "
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    ABSTRACT: Maternal iron status is thought to be related to postpartum depressive symptoms. The purpose of the present study was to evaluate the relationship between pre- and postnatal maternal iron status and depressive symptoms in pilot (n = 137) and confirmatory (n = 567) samples of Chinese women. Iron status was evaluated at mid- and late pregnancy and 3 days postpartum. The Edinburgh Postnatal Depression Scale (EPDS) was used to assess maternal postpartum depression 24-48 hours after delivery and 6 weeks later. In the pilot sample, correlations between early- and late-pregnancy maternal Hb and EPDS scores at 6 weeks were r = 0.07 and -0.01, respectively (nonsignificant). In the confirmatory sample, the correlations between maternal iron measures (Hb, MCV, ZPP, ferritin, sTfR, and sTfR Index) in mid- or late pregnancy or 3 days postpartum and EPDS scores shortly after delivery or at 6 weeks were also low (r values < 0.10). EPDS scores in anemic and nonanemic mothers did not differ, regardless of sample or timing of maternal iron status assessment. In addition, women with or without possible PPD were similar in iron status in both samples. Thus, there was no relationship between maternal iron status and postpartum depression in these samples.
    Journal of pregnancy 07/2012; 2012(2):521431. DOI:10.1155/2012/521431
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    • "Chronic heart failure (CHF) patients are often limited in their daily activities. Frequently reported symptoms are fatigue and dyspnoea, but also impaired physical working capacity, exhaustion, susceptibility to stress, and decreased mental and cognitive performance.1,2 Anaemia and iron deficiency are common findings in HF patients and may partially explain these symptoms. "
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    ABSTRACT: The purpose of this study was to evaluate the cost-effectiveness of iron repletion using intravenous (i.v.) ferric carboxymaltose (FCM) in chronic heart failure (CHF) patients with iron deficiency with or without anaemia. Cost-effectiveness was studied from the perspective of the National Health Service in the UK. A model-based cost-effectiveness analysis was used to compare iron repletion with FCM with no iron treatment. Using data from the FAIR-HF trial and publicly available sources and publications, per patient costs and clinical effectiveness of FCM were estimated compared with placebo. Cost assessment was based on study drug and administration costs, cost of CHF treatment, and hospital length of stay. The incremental cost-effectiveness ratio (ICER) of FCM use was expressed as cost per quality-adjusted life year (QALY) gained, and sensitivity analyses were performed on the base case. The time horizon of the analysis was 24 weeks. Mean QALYs were higher in the FCM arm (difference 0.037 QALYs; bootstrap-based 95% confidence interval 0.017-0.060). The ICER of FCM compared with placebo was €4414 per QALY gained for the FAIR-HF dosing regimen. Sensitivity analyses confirmed the base case result to be robust. From the UK payers' perspective, managing iron deficiency in CHF patients using i.v. FCM was cost-effective in this analysis. The base case ICER was clearly below the threshold of €22 200-€33 300/QALY gained (£20 000-£30 000) typically used by the UK National Institute for Health and Clinical Excellence and proved to be robust in sensitivity analysis. Improved symptoms and better quality of life contributed to this result.
    European Journal of Heart Failure 06/2012; 14(7):782-90. DOI:10.1093/eurjhf/hfs083 · 6.53 Impact Factor
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