McGowan Laura, Pot Gerda K, Stephen Alison M, Lavelle Fiona, Spence Michelle, Raats Monique, Hollywood Lynsey, McDowell Dawn, McCloat Amanda, Mooney Elaine, Caraher Martin, Dean Moira
Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
Diabetes and Nutritional Sciences Division, King's College London, London, UK.
Int J Behav Nutr Phys Act. 2016 Oct 26;13(1):111. doi: 10.1186/s12966-016-0440-4.
Interventions to increase cooking skills (CS) and food skills (FS) as a route to improving overall diet are popular within public health. This study tested a comprehensive model of diet quality by assessing the influence of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. The correspondence of two measures of diet quality further validated the Eating Choices Index (ECI) for use in quantitative research.
A cross-sectional survey was conducted in a quota-controlled nationally representative sample of 1049 adults aged 20-60 years drawn from the Island of Ireland. Surveys were administered in participants' homes via computer-assisted personal interviewing (CAPI) assessing a range of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. Regression models were used to model factors influencing diet quality. Correspondence between 2 measures of diet quality was assessed using chi-square and Pearson correlations.
ECI score was significantly negatively correlated with DINE Fat intake (r = -0.24, p < 0.001), and ECI score was significantly positively correlated with DINE Fibre intake (r = 0.38, p < 0.001), demonstrating a high agreement. Findings indicated that males, younger respondents and those with no/few educational qualifications scored significantly lower on both CS and FS abilities. The relative influence of socio-demographic, knowledge, psychological variables and CS and FS abilities on dietary outcomes varied, with regression models explaining 10-20 % of diet quality variance. CS ability exerted the strongest relationship with saturated fat intake (β = -0.296, p < 0.001) and was a significant predictor of fibre intake (β = -0.113, p < 0.05), although not for healthy food choices (ECI) (β = 0.04, p > 0.05).
Greater CS and FS abilities may not lead directly to healthier dietary choices given the myriad of other factors implicated; however, CS appear to have differential influences on aspects of the diet, most notably in relation to lowering saturated fat intake. Findings suggest that CS and FS should not be singular targets of interventions designed to improve diet; but targeting specific sub-groups of the population e.g. males, younger adults, those with limited education might be more fruitful. A greater understanding of the interaction of factors influencing cooking and food practices within the home is needed.
作为改善总体饮食的一种途径,提高烹饪技能(CS)和食物技能(FS)的干预措施在公共卫生领域很受欢迎。本研究通过评估社会人口统计学、知识和心理相关变量以及感知到的烹饪技能和食物技能能力的影响,测试了一个饮食质量的综合模型。两种饮食质量测量方法的一致性进一步验证了饮食选择指数(ECI)在定量研究中的应用。
在从爱尔兰岛抽取的1049名20至60岁成年人的配额控制全国代表性样本中进行了一项横断面调查。通过计算机辅助个人访谈(CAPI)在参与者家中进行调查,评估一系列社会人口统计学、知识和心理相关变量以及感知到的烹饪技能和食物技能能力。使用回归模型对影响饮食质量的因素进行建模。使用卡方检验和皮尔逊相关性评估两种饮食质量测量方法之间的一致性。
ECI得分与DINE脂肪摄入量显著负相关(r = -0.24,p < 0.001),ECI得分与DINE纤维摄入量显著正相关(r = 0.38,p < 0.001),显示出高度一致性。研究结果表明,男性、年轻受访者以及没有/几乎没有教育资格的人在烹饪技能和食物技能能力方面得分显著较低。社会人口统计学、知识、心理变量以及烹饪技能和食物技能能力对饮食结果的相对影响各不相同,回归模型解释了饮食质量差异的10 - 20%。烹饪技能能力与饱和脂肪摄入量的关系最为密切(β = -0.296,p < 0.001),并且是纤维摄入量的显著预测因素(β = -0.113,p < 0.05),尽管对健康食物选择(ECI)不是显著预测因素(β = 0.04,p > 0.05)。
鉴于涉及众多其他因素,更高的烹饪技能和食物技能能力可能不会直接导致更健康的饮食选择;然而,烹饪技能似乎对饮食的各个方面有不同的影响,最显著的是与降低饱和脂肪摄入量有关。研究结果表明,烹饪技能和食物技能不应是旨在改善饮食的干预措施的唯一目标;但针对特定人群亚组,例如男性、年轻人、教育程度有限的人,可能会更有成效。需要更深入了解家庭中影响烹饪和食物实践的因素之间的相互作用。