Assessing meaningful work among Hungarian employees: testing psychometric properties of work and meaning inventory in employee subgroups.

BACKGROUND: The construct of meaningful work (MW) has become the subject of various studies. Workers who experience MW have higher career and organizational commitment, report fewer days absent, and are characterized by a higher level of well-being. The aim of this study is to test a measure of MW, the Work and Meaning Inventory by Steger et al. This measure was created on theoretical background, and it constructs MW from three dimensions: psychological meaning, meaning-making, and greater good motivation. METHODS: The analysis was conducted in a Hungarian sample (N = 2,498), using confirmatory factor analysis (CFA), and multiple-group CFA. RESULTS: The three-dimensional model of the WAMI was confirmed in the analysis. In our study, the measure proved to be reliable, even in the test-retest analysis. Moreover, the discriminant and convergent validity of the WAMI was tested, with various relevant constructs: the presence and the search for life meaning, life satisfaction, and job satisfaction. Also a multiple-group CFA was conducted with the three-factor model, confirming measurement invariance regarding sex and working position. CONCLUSIONS: In line with the original version of the WAMI, the three-dimensional model was confirmed, with good psychometric properties in the Hungarian working context.

Evaluating association of vaccine response to low serum zinc and vitamin D levels in children of a birth cohort study in Dhaka.

BACKGROUND: Vaccine-preventable infectious diseases are often responsible for childhood morbidity and high rates of mortality. Immune response to the vaccine is associated with multiple factors in early childhood and measured by antibody titers. Among them, micronutrient deficiencies such as vitamin D and zinc deficiencies are the most important in resource-limited settings like Bangladesh. OBJECTIVE: We aimed to evaluate the association of vaccine response to low serum zinc and vitamin D levels in children. METHODS: We evaluated vaccine response for measles and poliovirus, tetanus and pertussis toxoid, and Ig A antibody levels to rotavirus by ELISA and serum vitamin D and zinc at 7 and 15 months in the MAL-ED birth cohort of the Bangladesh site. By using population-specific generalized estimating equations (GEE), the association between each explanatory variable and the binary outcome variable was examined longitudinally where the dependent variable was vaccine titers and the independent variables were low serum vitamin D and zinc levels. RESULTS: The GEE multivariable model identified a positive association between serum zinc level and tetanus vaccine titer (OR: 1.84; 95% CI: 1.07-3.17 and p value = 0.028) after adjusting for age, gender, birth weight, WAMI score, diarrhea, ALRI, exclusive breastfeeding, serum ferritin, serum retinol and undernutrition (stunting, wasting, underweight). No association was found between the rest of the vaccine titers with serum vitamin D and zinc level (p > 0.05). CONCLUSION: In the MAL-ED birth cohort, where children were followed for five years, serum zinc level had a positive impact on tetanus vaccine titers.

Measuring socio-economic status of an urban squatter settlement in Pakistan using WAMI Index.

OBJECTIVE: To determine the socio-economic status of a peri-urban community. METHODS: The cross-sectional study was conducted at Deh Chuhar village, Gaddap Town, Karachi from December 2015 to February 2016. The Water/Sanitation, Assets, Maternal Education and Income Index was used. All variables were given a score on the scale of 0-8. The resulting index was illustrated in the form of quintiles. RESULTS: : A total of 254 households were surveyed. Total population was 2117 with mean number of household members being 8±4. Mean index score was 0.39±0.14 and the median score was 0.375. Percentile distribution of the score indicated that 152(60%) households scored below 0.40 whereas, 51 (20%) were in the highest quintile with a score above 0.50. CONCLUSIONS: Water/Sanitation, Assets, Maternal Education and Income index suggested poor socio-economic status of the community studied.

Infant feeding practices and determinant variables for early complementary feeding in the first 8 months of life: results from the Brazilian MAL-ED cohort site.

OBJECTIVE: The present study aimed to describe breast-feeding, complementary feeding and determining factors for early complementary feeding from birth to 8 months of age in a typical Brazilian low-income urban community. DESIGN: A birth cohort was conducted (n 233), with data collection twice weekly, allowing close observation of breast-feeding, complementary feeding introduction and description of the WHO core indicators on infant and young child feeding. Infant feeding practices were related to socio-economic status (SES), assessed by Water/sanitation, wealth measured by a set of eight Assets, Maternal education and monthly household Income (WAMI index). Two logistic regression models were constructed to evaluate risk factors associated with early complementary feeding. RESULTS: Based on twice weekly follow-up, 65 % of the children received exclusive breast-feeding in the first month of life and 5 % in the sixth month. Complementary feeding was offered in the first month: 29 % of the children received water, 15 % infant formulas, 13 % other milks and 9·4 % grain-derived foods. At 6 months, dietary diversity and minimum acceptable diet were both 47 % and these increased to 69 % at 8 months. No breast-feeding within the first hour of birth was a risk factor for the early introduction of water (adjusted OR=4·68; 95 % CI 1·33, 16·47) and low WAMI index a risk factor for the early introduction of other milks (adjusted OR=0·00; 95 % CI 0·00, 0·02). CONCLUSIONS: Data suggest local policies should promote: (i) early breast-feeding initiation; (ii) SES, considering maternal education, income and household conditions; (iii) timely introduction of complementary feeding; and (iv) dietary diversity.

Dietary diversity is related to socioeconomic status among adult Saharawi refugees living in Algeria.

BACKGROUND: There is limited knowledge about dietary quality among the adult population in low- and middle income countries (LMICs). This study aims to describe dietary quality among the adult Saharawi refugee population and to investigate whether dietary quality is associated with socioeconomic status. METHODS: In 2014, a cross-sectional survey was carried out in the Saharawi refugee camps, Algeria. A three-staged cluster sampling was performed and 180 women and 175 men, aged 18-82 years, were randomly selected. The dietary intake was assessed by 24-h dietary recall and dietary diversity score (DDS) was calculated. Socioeconomic status was assessed using the WAMI index (sanitation, assets, education and income). RESULTS: The mean DDS among the total sample was 3.8 ± 1.4 and 2/3 of participant were at risk of low dietary adequacy. The main food groups consumed were starchy staple foods, flesh foods, and dairy. Vitamin A-rich dark green leafy vegetables, nuts and seeds and eggs were the food groups least consumed. The multiple regression model showed a positive association between DDS and the WAMI index (P < 0.001) and a negative association between DDS and age (p = 0.01). CONCLUSIONS: Low DDS was associated with low socioeconomic status. Programmes to improve the dietary quality among the Saharawi refugees should be implemented.

Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico.

Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate of genetic gain in grain yield in plant breeding. In this study, seven genomic prediction models under two cross-validation (CV) scenarios were tested on 287 advanced elite spring wheat lines phenotyped for grain yield (GY), thousand-grain weight (GW), grain number (GN), and thermal time for flowering (TTF) in 18 international environments (year-location combinations) in major wheat-producing countries in 2010 and 2011. Prediction models with genomic and pedigree information included main effects and interaction with environments. Two random CV schemes were applied to predict a subset of lines that were not observed in any of the 18 environments (CV1), and a subset of lines that were not observed in a set of the environments, but were observed in other environments (CV2). Genomic prediction models, including genotype × environment (G×E) interaction, had the highest average prediction ability under the CV1 scenario for GY (0.31), GN (0.32), GW (0.45), and TTF (0.27). For CV2, the average prediction ability of the model including the interaction terms was generally high for GY (0.38), GN (0.43), GW (0.63), and TTF (0.53). Wheat lines in site-year combinations in Mexico and India had relatively high prediction ability for GY and GW. Results indicated that prediction ability of lines not observed in certain environments could be relatively high for genomic selection when predicting G×E interaction in multi-environment trials.