Food security of paddy farm households based on the proportion of food expenditure and energy consumption level in Jogorogo Ngawi

Ngawi is the sixth paddy producer in Indonesia and certainly has an influence on the food security of paddy farm households. This study aimed to analyze the proportion of food expenditure (PFE), energy and protein consumption, the relationship between food expenditure and energy consumption, and the condition of food security. The basic method used descriptive analytic. The number of respondents based on the slovin formula was 87 households. The sample selection used stratified random sampling. The data analysis method used correlation with SPSS 22 and cross indicator between PFE and energy consumption level. The results showed that the average of PFE was 58.81%. The average energy consumption was 4,272.2 kcal/household/day with an energy consumption level of 81.93% while the average protein consumption was 122.1 grams/household/day lower than the average household RDA consumption. Food expenditure had a significant relationship to energy consumption with a correlation coefficient of 0.925 including a very strong and unidirectional relationship. The contribution of household food security conditions were 28.7% secure; 32.2% vulnerable; 10.3% less secure; 28.8% insecure.

Dynamics of nutritional food consumption and expenditure patterns of Central Java population as welfare indicators to achieve sustainable development goals

This study aims to determine Central Java population welfare dynamics by looking at the pattern of expenditure and the nutritional and food consumption level. The data used is data on the expenditure and consumption of the Central Java population in 2016–2020. The data analysis method used is descriptive analytical. The study of expenditure patterns shows that during the period 2016–2020, the Central Java population welfare is increasing. Still, the population of rural areas is less prosperous than the population of urban areas. The welfare increase is also shown by decreasing the cereals group consumption. The analysis of the nutritional consumption level indicates that the energy and protein consumption level tend to increase during 2016–2020. The level of energy consumption is categorized as sufficient, and protein consumption level is categorized as good. In rural areas, energy consumption and energy consumption are higher than in urban areas; conversely, protein consumption and protein consumption in urban areas are higher than in rural areas.

The dynamics of household food consumption patterns in various agroecosystems in Indonesia

Household food consumption patterns are influenced by income, price, individual tastes and beliefs, and socioeconomic aspects. Agricultural development has an impact on changing consumption patterns. The changes vary according to different ecosystems. The purpose of this study is to analyze the dynamics of household consumption patterns in various ecosystems and their implications for agricultural policies. This study used panel data from the National Farmers Panel period of 2007/2009-2016/2018 from the Indonesian Center for Agro Socio Economic and Policy Studies in four ecosystems, namely rice paddy fields, dry-land secondary crops, dry-land vegetable crops, and dry-land plantation crops. The discussion of consumption patterns is focused on energy and protein consumption, PPH score, and consumer participation rate. The results showed that during 2010-2018, energy and protein consumption increased, however, the pattern of change varies among households. The energy and protein consumption level are only about 77-86% from the level of recommendation ≥90%. Households’ consumption of protein in plantation ecosystem is lowest compared to other ecosystem. The level of household rice consumption was the highest, compared to other carbohydrate sources. PPH of agricultural households was lower than the national in the four agroecosystems. To increase the consumption of energy, protein and PPH scores of agricultural households in various agroecosystems in Indonesia, it is necessary to increase the availability and access of agricultural households to non-rice carbohydrate sources and protein source foods by optimizing the potential of local resources. Coordination and synchronization of food security improvement programs between central and local governments is important.

Prevalence of Dysmenorrhea and Determinants of Pain Intensity Among University-Age Women

Objective The study was conducted to determine the prevalence of dysmenorrhea and investigate factors associated with dysmenorrhic pain among university students in Lahore, Pakistan. Design and Setting A cross-sectional study was conducted across various public and private sector universities in Lahore. Methods A self-administered structured questionnaire was used to collect data from 600 randomly selected female university students. Results The prevalence of dysmenorrhea was 91.5%. Age at menarche (odds ratio [OR] = 1.96, 95% confidence interval [CI] = 1.10–3.50) was the only significant factor associated with dysmenorrhea. The mean pain severity score among dysmenorrhic students was 5.62 ± 2.28. Most of the participants (65.8%) were experiencing moderate/severe pain. Univariate analysis showed that irregular cycle (OR [95% CI] = 1.62 [1.13–2.33]), age at menarche of ≤14 years (OR [95% CI] = 1.46 [1.05–2.04]), duration of menses of more than 5 days (OR [95% CI] = 1.42 [1.02–1.99]), stress (OR [95% CI] = 2.16 [1.54–3.03]), moderate meat/protein consumption (OR [95% CI] = 1.55 [1.08–2.21]), and medical specialization (OR [95% CI] = 1.72 [1.17–2.52]) were significantly associated with pain severity among dysmenorrhic female students. Multivariate binary logistic regression analysis revealed that medical specialization (OR [95% CI] = 1.83 [1.22–2.73]), age at menarche (OR [95% CI] = 0.603 [0.42–0.86]), regularity of menses (OR [95% CI] = 1.52 [1.04–2.22]), moderate meat/protein consumption (OR [95% CI] = 1.69 [1.16–2.45]), and stress (OR [95% CI] = 1.87 [1.32–2.66]) were independent predictors of moderate/severe dysmenorrhic pain. Conclusion The study revealed an alarmingly high prevalence of dysmenorrhea among university students. High levels of stress and early menarche were the potent determinants of moderate/severe dysmenorrhea that disturbs quality of life.