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1.
Int J Sport Nutr Exerc Metab ; 25(3): 243-51, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-25252338

RESUMO

UNLABELLED: This study investigated the association between general nutrition knowledge and dietary quality in a convenience sample of athletes (≥ state level) recruited from four Australian State Sport Institutes. General nutrition knowledge was measured by the validated General Nutrition Knowledge Questionnaire and diet quality by an adapted version of the Australian Recommended Food Score (A-ARFS) calculated from food frequency questionnaire data. Analysis of variance and linear modeling were used to assess relationships between variables. DATA: mean (Standard Deviation). A total of 101 athletes (Males: 37; Females: 64), 18.6 (4.6) years were recruited mainly from team sports (72.0%). Females scored higher than males for both nutrition knowledge (Females: 59.9%; Males: 55.6%; p = .017) and total A-ARFS (Females: 54.2% Males: 49.4%; p = .016). There was no significant influence of age, level of education, athletic caliber or team/individual sport participation on nutrition knowledge or total A-ARFS. However, athletes engaged in previous dietetic consultation had significantly higher nutrition knowledge (61.6% vs. 56.6%; p = .034) but not total A-ARFS (53.6% vs. 52.0%; p = .466). Nutrition knowledge was weakly but positively associated with total A-ARFS (r = .261, p= .008) and A-ARFS vegetable subgroup (r = .252, p = .024) independently explaining 6.8% and 5.1% of the variance respectively. Gender independently explained 5.6% of the variance in nutrition knowledge (p= .017) and 6.7% in total A-ARFS (p = .016). Higher nutrition knowledge and female gender were weakly but positively associated with better diet quality. Given the importance of nutrition to health and optimal sports performance, intervention to improve nutrition knowledge and healthy eating is recommended, especially for young male athletes.


Assuntos
Atletas/psicologia , Dieta/psicologia , Comportamento Alimentar/psicologia , Conhecimentos, Atitudes e Prática em Saúde , Ciências da Nutrição e do Esporte , Adolescente , Desempenho Atlético , Austrália , Feminino , Humanos , Masculino , Avaliação Nutricional , Fatores Sexuais , Fenômenos Fisiológicos da Nutrição Esportiva , Inquéritos e Questionários , Adulto Jovem
2.
Br J Nutr ; 107(12): 1871-80, 2012 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-22018024

RESUMO

The aim of the present study was to investigate and benchmark the level of general nutrition knowledge in elite Australian athletes (EA) against a similar aged community (CM) and criterion sample with dietetic training (DT). EA (n 175), CM (n 116) and DT (n 53) completed the General Nutrition Knowledge Questionnaire (GNKQ), which assesses four domains (sections A-D) of general nutrition knowledge (section A: dietary guidelines; section B: sources of nutrients; section C: choosing everyday foods; section D: diet-disease relationships). Age, sex and education level were collected in all groups, and athletic calibre and sport type (team or individual) in EA. Dietitians and nutrition scientists (n 53) re-examined the GNKQ for content validity, resulting in instrument revision (R-GNKQ; ninety-six items). Psychometric assessment (internal consistency: Cronbach-α; test-retest: Spearman rank correlation) was performed in a sub-sample (n 28). Independent t tests, ANOVA and ANCOVA (χ² for categorical variables) were used to assess between-group differences. DT scored higher than EA and CM in all sub-sections and overall (P < 0·005). EA scored lower than CM in GNKQ for section B (P < 0·005) and overall (P < 0·005), and in R-GNKQ for section B (P < 0·005), section C (P < 0·005), section D (P = 0·006) and overall (P < 0·005). Overall score was influenced by age (P = 0·036 for GNKQ: P = 0·053 for R-GNKQ), sex (P = 0·016 for GNKQ: P = 0·003 for R-GNKQ) and athletic calibre (P = 0·029 for R-GNKQ only), but not level of education, living situation or ethnicity. EA and CM performed best on section A and worst on D. EA had lower overall general knowledge scores than CM. This was significantly influenced by age and sex.


Assuntos
Atletas , Dieta , Dietética , Comportamento Alimentar , Guias como Assunto , Conhecimentos, Atitudes e Prática em Saúde , Adolescente , Adulto , Fatores Etários , Análise de Variância , Austrália , Benchmarking , Feminino , Saúde , Humanos , Masculino , Psicometria , Fatores Sexuais , Adulto Jovem
3.
Aust J Rural Health ; 12(5): 192-6, 2004 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-15588261

RESUMO

OBJECTIVE: The present study aimed to identify those factors that influence the decision of a dietitian to consider working in a rural area. DESIGN: A qualitative design using focus groups was chosen for this study to allow for in-depth data to be obtained. SETTING: University of Newcastle, Callaghan Campus. SUBJECTS: Twenty-three students/new graduates from the Bachelor of Health Science (Nutrition and Dietetics) degree at the University of Newcastle. MAIN OUTCOME MEASURES: Not applicable, this project was an exploratory study. RESULTS: A number of factors that influence the decision of dietetic students and newly graduated dietitians to consider working in a rural area were identified. These fell into the following main thematic areas: job prospects; rural lifestyle; comfort zones; support networks; promotion opportunities/professional development; type of work/work role; rural needs; and time frame. CONCLUSIONS: The present study found that choosing a location to work (whether it be a rural one or not) is a complex process and involves a number of interacting factors. Also those factors that may influence one dietitian to choose a career in a rural area may also be the factors that influence another dietitian not to choose a career in a rural area.


Assuntos
Atitude do Pessoal de Saúde , Escolha da Profissão , Dietética/organização & administração , Área de Atuação Profissional , Serviços de Saúde Rural/organização & administração , Estudantes de Ciências da Saúde/psicologia , Mobilidade Ocupacional , Grupos Focais , Humanos , Estilo de Vida , Área Carente de Assistência Médica , Modelos Psicológicos , Avaliação das Necessidades , New South Wales , Área de Atuação Profissional/estatística & dados numéricos , Papel Profissional , Pesquisa Qualitativa , Apoio Social , Fatores de Tempo
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