Behavioral risk factors and periodontal disease in Malang, Indonesia

OBJECTIVE

This study aimed to analyze the relationship of behavioral risk factors for periodontal disease among 19-64 age group in Malang City.

METHOD

A non-experimental quantitative analytic with a cross sectional study approach was used in this study. The respondents were 331 patients who visited the dental clinics of the Health Centers in Malang City. A cluster random sampling technique was used in this study. The instrument used was questionnaire. The data analysis was done through multivariate analyses use logistic-regression.

RESULTS

The Wald test results on logistic-regression models showed there is no significant effect of smoking habits and consumption patterns on periodontal disease. There is a significant effect of systemic disease on periodontal disease with a significance value of 0.000 (p<0.05).

CONCLUSIONS

There was a significant relationship and effect between systemic disease and periodontal disease in this study.

Crisis perception and consumption pattern during COVID-19: do demographic factors make differences?

Background

Consumption patterns of people around the world have been tremendously affected due to the COVID-19 outbreak since December 2019. Previous studies validated the influence of both internal and external factors on consumer behaviour. However, due to the lack of empirical research, this study explored the influence of external factor such as COVID-19 on consumer purchase behaviour, economic and financial situation. In addition, the study investigated how crisis perception and consumption pattern vary due to demographic variables.

Methods

A convenience sampling technique was used and a total of 340 responses were collected from three countries, e.g., Bangladesh (n = 129), India (n = 122), and Pakistan (n = 89) using a structured questionnaire. The respondents rated the items, collected from relevant past studies, on a 5 point Likert scale ranging from highly disagree to highly agree.

Results

Exploratory factor analysis summarized all the measurement items into seven main factors from which two factors were removed due to low reliability. Except for the individual's financial situation, the overall mean values of the remaining factors were above 3.50 indicating a higher level of crisis perception and greater change in consumption patterns. Multivariate analysis of variance indicated that the factor scores were significantly different across countries, gender, education and income groups. In addition, Indian consumers were highly concerned and affected by COVID-19 followed by Pakistani and Bangladeshi consumers. In only one factor (e.g., an individual's financial situation), country and age had a significant interaction effect. Finally, the factors had significant difference among three categories of consumers (e.g., low, medium and high crisis perception). It indicates that consumers with higher crisis perception reported more behavioural changes due to COVID-19.

Conclusions

Therefore, more COVID-19 crisis perception leads to significant changes in consumption pattern and the financial situation of the consumers. This study will enable academicians, marketers and decision-makers to understand different facets of consumer behaviour in three contagious countries namely Bangladesh, India and Pakistan in South Asia.

Human health risk assessment of cadmium exposure through rice consumption in cadmium-contaminated areas of the Mae Tao sub-district, Tak, Thailand

The Mae Tao sub-district is located in the Mae Tao watershed, an important cadmium (Cd)-contaminated area in Thailand. This study was conducted to (i) determine Cd concentrations in rice collected from households in the area, (ii) assess the Cd exposure and potential health risk (HQ) from rice consumption in local adults and (iii) investigate how the factors of individual characteristics and consumption behavior affect the level of HQ. A total of 159 rice samples were collected from households in all 6 villages of the Mae Tao sub-district for analysis of Cd by inductively coupled plasma mass spectrometry. Biodata information and rice consumption behavior were surveyed from local residents at the same time as rice sample collection. Approximately 19.8% and 19.1% of white rice and sticky rice, respectively, contained total Cd higher than the Codex maximum standard of Cd in rice (0.4 mg kg^-1). Locally grown rice contained an average of 1.5 times more Cd than retail rice. Cd exposure from consuming only sticky rice was the highest (2.26 × 10^-3 mg kg^-1 day^-1), followed by the consumption of both types of rice (1.39 × 10^-3 mg kg^-1 day^-1) and the consumption of only white jasmine rice (6.30 × 10^-4 mg kg^-1 day^-1). The highest and lowest average HQ values were found in the only sticky rice consumption pattern (2.263) and the only white rice consumption pattern (0.630), respectively. The potential health risk from Cd in each rice consumption pattern was mainly influenced by the total Cd concentration in rice and the rice ingestion rate.

Predicted concentrations of anticancer drugs in the aquatic environment: What should we monitor and where should we treat?

Anticancer drugs have been detected in the aquatic environment, they have a potent mechanism of action and their consumption is expected to drastically increase in the future. Consequently, it is crucial to routinely monitor the occurrence of anticancer drugs and to develop effective treatment options to avoid their release into the environment. Prior to implementing a monitoring program, it is important to define which anticancer drugs are more prone to be found in the surface waters. In this study the consumption of anticancer drugs in the Lisbon region (Portugal), Belgium and Haryana state (India) were used to estimate the concentrations that can be expected in surface waters. Moreover, one important aspect is to define the major entry route of anticancer drugs in the aquatic environment: is it hospital or household effluents? The results disclosed in this study showed that in Belgium and Lisbon, 94 % of the total amount of anticancer drugs were delivered to outpatients, indicating that household effluents are the primary input source of these drugs and thus, upgrading the treatment in the domestic wastewater facilities should be the focus.

Effect of drought on smallholder education expenditures in rural Iran: Implications for policy

Drought is a major global environmental challenge. It affects the livelihoods of many people, mainly in developing countries. Iran is one of the most affected and vulnerable countries in the Middle East to drought. In this paper, we present a microlevel analysis by employing the Tobit multiplicative heteroscedasticity regression to examine the effects of drought on small farm household education expenditures in rural Iran. We collected primary data from a sample of 300 smallholders in Marvdasht County in Fars Province of Iran. The results revealed a negative relationship between the farm income and education expenditures. This means that the farm households in rural Iran that were affected by the drought increased their expenditures on education for their children. The analysis of income elasticity indicated that a one percent decrease in farm income led to a 0.86% increase in education expenditures, which indicated that the education expenditures were necessary. Furthermore, we observed that in drought-affected families, girls were more likely to be pulled out of university education than were boys; however, for school education, there were no significant differences between the boys and girls. Our findings revealed the need to provide improved facilities and further finances for education expenditures, especially for female university students, and to formulate environmental management policies that include the provision of education facilities by the government of Iran in drought-affected villages. Our findings also shed light on the presence of positive externalities and the important role of education in helping rural households better cope with the negative repercussions of drought on their livelihoods.

Arsenic health risk assessment related to rice consumption behaviors in adults living in Northern Thailand

The rice consumption behaviors of Thai citizens vary among regions. However, the influence of different consumption patterns on arsenic (As) exposure has never been reported. This study was conducted to investigate the effects of rice consumption behavior on As exposure levels. White rice (n = 96) and sticky rice (n = 63) samples were collected from local households in northern Thailand. The actual rice consumption behavior (type, frequency, and amount of rice consumed) was surveyed from the households where the rice samples were collected and used to calculate individual As exposures. The white rice (2.1%) and sticky rice (6.3%) samples contained inorganic As at higher concentrations than the Codex standard (0.2 mg kg^-1). Approximately 58.3% of participants consumed white rice for breakfast and sticky rice for lunch and dinner, while 41.8% of participants consumed only white rice or sticky rice daily. Wide variations of As exposure (1 × 10^-4 to 2 × 10^-3 mg kg^-1 day^-1) were found. The average As exposure from only sticky rice consumption and combined rice consumption was 2 times higher than the As exposure from only white rice consumption. The rice ingestion rate was the most important factor affecting the level of As exposure resulting from the white rice-only and combined rice consumption patterns. For the combined rice consumption pattern, 45.7 to 93.5% of the total As exposure was from sticky rice consumption. Regarding individual characteristics, older and lower weight participants tended to consume lower amounts of rice. Thus, lower As exposure and fewer health impacts were found in those participants.

Consumption Patterns and Importance-Performance Analysis of Home Meal Replacements by Level of Taurine-Related Nutritional Knowledge in Korean Adults

The purpose of this study was to investigate consumption patterns and perform Importance-Performance Analysis (IPA) of selective attributes of Home Meal Replacement (HMR) products according to taurine-related nutritional knowledge levels in Koreans aged 40-64 years as a basis for developing additional HMR products. The study included 793 adults (297 males and 496 females) who had experience in consuming HMR products and who lived in Seoul and its metropolitan areas, Korea. Data were collected using self-administered questionnaires. Statistical analysis was performed by using the SPSS 18.0 program. The subjects were classified into a high-level group (HG, 467 adults) and low-level group (LG, 326 adults) based on their taurine-related nutritional knowledge scores. Analysis of HMR consumption patterns showed that the frequency of HMR consumption in the HG was one to two times a month in 41.1% of the subjects and once every 3-4 months in 22.7% of the subjects, whereas, in the LG, it was one to two times a month in 39.3% of the subjects and four to six times a month in 24.5% of the subjects. With regarding to the reasons for purchasing HMR products, there was no significant difference between HG and LG (p = 0.089). The IPA analysis of HMR selective attributes included factor analysis of 14 selective attributes that were divided into three factors: 'convenience and taste', 'reliability and health', and 'brand and awareness'. The average importance scores of the first (p < 0.01), second (p < 0.001), and third (p < 0.01) factors in the HG were significantly higher than those in the LG. In addition, the average satisfaction with the first factor (p < 0.01) in the HG was significantly higher than that in the LG. Based on the IPA results, the selective attributes with low satisfaction and high importance were price, origin, food additives, and nutrient content in both the HG and LG. In the second IPA quadrant was safety, but only in the LG. Multiple regression analysis revealed that the importance of the reliability and health factor and the satisfaction with the convenience and taste factor were positively influenced by the subject's taurine-related nutritional knowledge score. These results suggest that reliability and safety of HMR products need to be improved to meet the expectations of Korean consumers aged 40 years and older with a high level of taurine-related nutritional knowledge. Therefore, there is a need to produce HMR products that use safe and reliable food ingredients.

Capturing consumer value and clustering customer preferences in the Indonesian halal beef market

The Indonesian consumer behavior has changed over the last decades, and hence reviewing consumer value is crucial for the halal beef industry. This study explores halal beef consumer preferences and its segmentation. The research design constituted descriptive with a quantitative approach. Focus group discussions and consumer surveys were conducted through face-to-face interview toward 440 middle-class Muslim households in Indonesian top ten cities. The data analysis uses conjoint and clusters analysis. The essential attributes of halal beef in the order of priority are a red color, zero residues, latest production, halal guarantee label positions for each cluster, clean, tender, and flavor (p-value = 0.000). Beef consumers consist of four clusters comprising sanctity, clarity, quality, and safety. Based on demographic characteristics, the age and family size differences among groups were not significant, with each p-value at 0.356 and 0.189, while based on consumption and buying preference, each cluster has not significantly different in their beef consumption level, with a p-value at 0.102.

Exploring the changes and driving forces of water footprints in China from 2002 to 2012: A perspective of final demand

Due to economic development and population growth, the water shortage in China has gradually become increasingly severe. In this paper, by developing an environmentally expanded input-output (IO) model, water footprint in China during 2002-2012 is calculated from the perspective of final demand. Furthermore, a structural decomposition analysis (SDA) model is used to study the driving factors of the water footprint of rural and urban household consumption, gross fixed capital formation and exports. The findings indicate that: 1) the water footprint driven by final demand in China increased by 18.3% during 2002-2012, reaching 617.68 billion m³ in 2012, of which urban household consumption accounts for the highest proportion. 2) Of the different sectors, agricultural commodities have the highest water footprint, accounting for 35% of national water footprint in 2012. 3) In terms of the driving factors, water efficiency inhibits the increase of water footprint regardless of final demand types, while GDP per capita makes a great contribution to its rise. 4) As for rural household consumption, the most important driving factor is the inhibition effects of consumption pattern in water footprint. For urban household consumption, the water footprint is inhibited by consumption pattern but promoted by production structure during 2002-2010. However, it is no longer the case during 2010-2012 that consumption pattern becomes a promoting factor, with production structure being inhibiting one. 5) Regarding gross fixed capital formation, its water footprint increase driven by consumption pattern is only 12.4 billion m³ during 2007-2010. As for exports, consumption pattern causes the decline of water footprint after 2005 and the overall water footprint of exports declines during 2007-2012. Finally, this paper provides policy implications with respect to the promotion of China's water footprint conservation.

Intermittent Demand Forecasting in a Tertiary Pediatric Intensive Care Unit

Forecasts of the demand for medical supplies both directly and indirectly affect the operating costs and the quality of the care provided by health care institutions. Specifically, overestimating demand induces an inventory surplus, whereas underestimating demand possibly compromises patient safety. Uncertainty in forecasting the consumption of medical supplies generates intermittent demand events. The intermittent demand patterns for medical supplies are generally classified as lumpy, erratic, smooth, and slow-moving demand. This study was conducted with the purpose of advancing a tertiary pediatric intensive care unit's efforts to achieve a high level of accuracy in its forecasting of the demand for medical supplies. On this point, several demand forecasting methods were compared in terms of the forecast accuracy of each. The results confirm that applying Croston's method combined with a single exponential smoothing method yields the most accurate results for forecasting lumpy, erratic, and slow-moving demand, whereas the Simple Moving Average (SMA) method is the most suitable for forecasting smooth demand. In addition, when the classification of demand consumption patterns were combined with the demand forecasting models, the forecasting errors were minimized, indicating that this classification framework can play a role in improving patient safety and reducing inventory management costs in health care institutions.