Lebensmittelqualität zwischen Geschmack und Zeichen

Ziel der vorliegenden Arbeit war es, Lebensmittelqualität am Beispiel von Speisequark aus hofeigener und industrieller Verarbeitung mit natur- und kulturwissenschaftlichen Methoden zu erfassen bzw. zu betrachten. Das Neue dieser interdisziplinären Arbeit lag in der Entwicklung von Verbindungen zwischen hedonischen/sensorischen, ökologischen und kulturellen Qualitäten von Speisequark. Im zweiten Teil der Arbeit wurde eine sensorische Schulung für die hofeigene Milchverarbeitung entwickelt und erprobt, um die Ergebnisse dieser Arbeit in die Praxis umzusetzen. Zuerst musste ein theoretischer Ansatz entwickelt werden, der die Esshandlungen der Verbraucher als Integrationsmoment von objektiven, subjektiven und sozial-kulturellen Qualitäten betrachtet. Bei diesem handlungstheoretischen Ansatz galt es, die Trennung zwischen objektiven und subjektiven Qualitäten zu überwinden, indem über Esshandlungen der Verbraucher integrierte Verbindungen zwischen hedonischen/sensorischen, ökologischen und kulturellen Qualitäten am Beispiel von Speisequark entwickelt wurden. Als empirische Grundlage wurde erstens die sensorische Qualität mit Profilprüfungen erfasst. Zweitens wurde die ökologische Qualität mit einer Verbraucherumfrage und Conjoint-Analyse und drittens die kulturelle Qualität mit einer semiotischen Analyse betrachtet. Die diskursiven Begründungen des Esshandelns, die in ermittelnden Gruppendiskussionen qualitativ erhoben wurden, zeigten deutlich, dass diese drei Qualitäten des Hofquarks untrennbar miteinander verbunden sind. Der komplexe Begriff authentisch, mit dem die Verbraucher Hofquark charakterisierten, beinhaltete vor allem den Geschmack, aber auch die damit verbundene handwerkliche Herstellungsweise, die Verpackung, die regionale Herkunft und die ökologische Anbauweise. Hofquark ist aus Verbrauchersicht ein gutes Lebensmittel, das seine besondere Bedeutung (kulturellen Wert) auch dadurch erhält, was es nicht ist, nämlich ein industrielles Molkereiprodukt. Der neue natur- und kulturwissenschaftliche Ansatz dieser Arbeit stellt gleichzeitig ein Plädoyer für eine mehrdimensionale Qualitätsbetrachtung von Lebensmitteln dar. Aus interdisziplinärer Sicht besteht hierzu noch ein großer Forschungsbedarf.

Double burden malnutrition of preschool children and its association with brain development and milk consumption

Protecting the quality of children growth and development becomes a supreme qualification for the betterment of a nation. Double burden child malnutrition is emerging worldwide which might have a strong influence to the quality of child brain development and could not be paid-off on later life. Milk places a notable portion during the infancy and childhood. Thus, the deep insight on milk consumption pattern might explain the phenomenon of double burden child malnutrition correlated to the cognitive impairments. Objective: Current study is intended (1) to examine the current face of Indonesian double burden child malnutrition: a case study in Bogor, West Java, Indonesia, (2) to investigate the association of this phenomenon with child brain development, and (3) to examine the contribution of socioeconomic status and milk consumption on this phenomenon so that able to formulate some possible solutions to encounter this problem. Design: A cross-sectional study using a structured coded questionnaire was conducted among 387 children age 5-6 years old and their parents from 8 areas in Bogor, West-Java, Indonesia on November 2012 to December 2013, to record some socioeconomic status, anthropometric measurements, and history of breast feeding. Diet and probability of milk intake was assessed by two 24 h dietary recalls and food frequency questionnaire (FFQ). Usual daily milk intake was calculated using Multiple Source Method (MSM). Some brain development indicators (IQ, EQ, learning, and memory ability) using Projective Multi-phase Orientation method was also executed to learn the correlation between double burden child malnutrition and some brain development indicator. Results and conclusions: A small picture of child double burden malnutrition is shown in Bogor, West Java, Indonesia, where prevalence of Severe Acute Malnutrition (SAM) is 27.1%, Moderate Acute Malnutrition (MAM) is 24.9%, and overnutrition is 7.7%. This phenomenon proves to impair the child brain development. The malnourished children, both under- and over- nourished children have significantly (P-value<0.05) lower memory ability compared to the normal children (memory score, N; SAM = 45.2, 60; MAM = 48.5, 61; overweight = 48.4, 43; obesity = 47.9, 60; normal = 52.4, 163). The plausible reasons behind these evidences are the lack of nutrient intake during the sprout growth period on undernourished children or increasing adiposity on overnourished children might influence the growth of hippocampus area which responsible to the memory ability. Either undernutrition or overnutrition, the preventive action on this problem is preferable to avoid ongoing cognitive performance loss of the next generation. Some possible solutions for this phenomenon are promoting breast feeding initiation and exclusive breast feeding practices for infants, supporting the consumption of a normal portion of milk (250 to 500 ml per day) for children, and breaking the chain of poverty by socioeconomic improvement. And, the national food security becomes the fundamental point for the betterment of the next. In the global context, the causes of under- and over- nutrition have to be opposed through integrated and systemic approaches for a better quality of the next generation of human beings.

A pilot investigation of the relationship between climate variability and milk compounds under the bootstrap technique

This study analyzes the linear relationship between climate variables and milk components in Iran by applying bootstrapping to include and assess the uncertainty. The climate parameters, Temperature Humidity Index (THI) and Equivalent Temperature Index (ETI) are computed from the NASA-Modern Era Retrospective-Analysis for Research and Applications (NASA-MERRA) reanalysis (2002–2010). Milk data for fat, protein (measured on fresh matter bases), and milk yield are taken from 936,227 milk records for the same period, using cows fed by natural pasture from April to September. Confidence intervals for the regression model are calculated using the bootstrap technique. This method is applied to the original times series, generating statistically equivalent surrogate samples. As a result, despite the short time data and the related uncertainties, an interesting behavior of the relationships between milk compound and the climate parameters is visible. During spring only, a weak dependency of milk yield and climate variations is obvious, while fat and protein concentrations show reasonable correlations. In summer, milk yield shows a similar level of relationship with ETI, but not with temperature and THI. We suggest this methodology for studies in the field of the impacts of climate change and agriculture, also environment and food with short-term data.