Humans ; Pediatric Obesity/epidemiology* ; Child ; Consensus ; China/epidemiology* ; Ambulatory Care Facilities/organization & administration*

PURPOSE: This study was to estimate salt preference and sodium intake of pregnant women, and identify the relationship between salt preference and sodium intake. METHODS: Research design was a cross sectional correlational survey with 197 pregnant women who visited outpatient clinics for antenatal care. The sodium intake levels were estimated by the amounts of sodium intake using the 24-hour recall method and sodium concentration in spot urine. The data were analyzed using descriptive statistics, t-test, ANOVA and Pearson's correlation. RESULTS: Sodium intake using 24-hour recall method was 3,504±1,359 mg. Sodium intake levels had statistically significant differences depending on income. The average amount of sodium in spot urine was 2,882±878mg/day. Sodium excretion levels had statistically significant differences depending on whether participants had preexisting hypertension in their family history and Body Mass Index (BMI) pre-conception. Salt preference was 62.61±20.96 out of 180 points. Salt preference had significant differences depending on income, parity, gestational age, BMI pre-conception and showed negative correlation with sodium quantity in spot urine. CONCLUSION: Sodium intake in pregnant women recommended by World Health Organization recommended is 175%. Salt preference was not significantly different between sodium intake levels, however it was negatively correlated with sodium quantity in spot urine among pregnant women.
Ambulatory Care Facilities ; Body Mass Index ; Female ; Gestational Age ; Humans ; Hypertension ; Methods ; Parity ; Pregnant Women* ; Research Design ; Sodium* ; World Health Organization

This study was designed to assess determinants of private clinics' productivity, and to compare city and county clinics in South Korea. We analyzed the revenue and patient data from all 9, 212 private clinics in South Korea. This data was obtained from the Korean National Health Insurance Corporation, during the period between 1996 and 1999. We used a mixed model for repeatedly measured data. The following listed variables were used in our analysis: sex and age of physician, number of beds of clinics, competitiveness of medical institution, inhabitants' incomes, the proportion of elderly in the administrative unit, and time effects. Age, sex, number of beds, and specialty were found to be the most relevant determinants for the productivity of private clinics in both urban and rural settings, and number of clinics and beds per 100, 000 and income of the administrative unit were found to be significant determinants, but only in city environments.
Urban Health ; Rural Health ; Private Practice/*organization & administration ; Korea ; Geography ; Efficiency, Organizational/*statistics & numerical data ; Cities ; Ambulatory Care Facilities/economics/*organization & administration/statistics & numerical data