Chakraborty R, Bose K, Ulijaszek S J
Department of Anthropology, Vidyasagar University, Midnapore, West Bengal, India.
Malays J Nutr. 2009 Mar;15(1):19-25. Epub 2009 Mar 15.
This cross-sectional study explored the relationships between income levels and food intake patterns among slum dwellers in Kolkata, India. A total of 284 male subjects of Bengalee ethnicity participated in the study. The mean (SD) age, monthly family income and monthly per capita income of the subjects were 40.8 years (14.2), Indian Rupees (Rs.) 3259 (1574) and Rs. 700 (416) respectively. Potatoes, fresh vegetables, sweets and eggs were among the most frequently consumed food items on a daily basis. Butter, soft drinks, milk and ghee were least frequently consumed. The frequency of consumption of snacks, sweets and fruits showed strong significant correlations (p < 0.001). Principal component analysis of the frequency of consumption of different foods showed five components that explained a cumulative variance of 56%. Eigen values of components one to five were: 1.49 for fruit, sweets and snacks; 1.36 for fish and soft drinks; 1.16 for ghee and butter; 0.65 for fresh vegetables; and 1.02 for milk. Individually, these components explained 14, 12, 11, 10 and 9% of the variations respectively. Regression analyses showed monthly per capita income to be significantly associated with frequency of consumption of soft drinks (F = 6.79, p < 0.001) and fish (F = 7.90, p< 0.005). Age showed a significantly positive association with butter consumption (F = 9.41, p<0.002), and was negatively associated with intake of soft drinks and fried snacks (F = 10.10, p< 0.002). Using regression equations to predict the impact of increased income on consumption patterns, it was found that a 10% increase in income is associated with 1% increase in consumption of fish, which carries traditional prestige. A similar increase in income would also lead to 10% increase in consumption of soft drinks that has connotations of brand associated prestige.
这项横断面研究探讨了印度加尔各答贫民窟居民的收入水平与食物摄入模式之间的关系。共有284名孟加拉族男性受试者参与了该研究。受试者的平均(标准差)年龄、家庭月收入和人均月收入分别为40.8岁(14.2)、3259印度卢比(1574)和700卢比(416)。土豆、新鲜蔬菜、糖果和鸡蛋是日常最常食用的食物。黄油、软饮料、牛奶和酥油的食用频率最低。零食、糖果和水果的消费频率显示出很强的显著相关性(p<0.001)。对不同食物消费频率的主成分分析显示有五个成分,解释了56%的累积方差。成分一至五的特征值分别为:水果、糖果和零食为1.49;鱼和软饮料为1.36;酥油和黄油为1.16;新鲜蔬菜为0.65;牛奶为1.02。这些成分分别解释了14%、12%、11%、10%和9%的变异。回归分析表明,人均月收入与软饮料消费频率(F = 6.79,p<0.001)和鱼的消费频率(F = 7.90,p<0.005)显著相关。年龄与黄油消费呈显著正相关(F = 9.41,p<0.002),与软饮料和油炸零食的摄入量呈负相关(F = 10.10,p<0.002)。使用回归方程预测收入增加对消费模式的影响,发现收入增加10%与具有传统声望的鱼的消费量增加1%相关。类似的收入增加也会导致具有品牌相关声望内涵的软饮料消费量增加10%。