RESUMO
BACKGROUND: Mortality rate in low-birth-weight infants is almost 30 times more than that in those with normal weight, so the birth of low-birth-weight infants is one of the most serious health problems in the world. Therefore, this nested case-control study was conducted to investigate the risk factors associated with low birth weight among infants in the rural population of Kerman province. METHODS: This nested case-control study was performed in rural areas of Kerman province, southeastern Iran. Case (n = 155) and control (n = 310) groups were selected using risk set sampling. Data were analyzed through Point and distance estimation (OR, CI) using conditional logistic regression method by Stata-12 software. RESULTS: The results of multivariate analysis showed that maternal BMI [OR = 0.3, CI 95% (0.1, 0.9)], gestational age [OR = 3.8, CI 95% (0.9, 6.1)], history of stillbirth [OR = 4.8, CI 95% (1.3, 11)], history of pregnancy bleeding [OR = 3.7, CI 95% (0.7, 9)], pregnancy craving [OR = 3, CI 95% (1.1, 3.8)], and the level of health workers' care [OR = 0.4, CI 95% (0.1, 0.9)] are the risk factors affecting LBW in infants (P < 0.05). CONCLUSIONS: Low birth weight is a multifactorial phenomenon. Therefore, raising public awareness, providing nutritional counseling to pregnant mothers, regular referral to health homes to receive health care, and identifying risk factors and referral to higher level specialists and health centers can be effective in reducing the risk of birth of LBW infants.
RESUMO
BACKGROUND: Brain cancer is a rare and deadly malignancy with a low survival rate. The present study aims to evaluate the epidemiology of brain cancer and its relationship with the human development index (HDI) worldwide. METHODS: This is an ecological study. The data on cancer incidence and cancer mortality was extracted from the World Bank for Cancer in 2018 (GLOBOCAN 2018). The incidence, mortality rate, and brain cancer distribution maps were drawn for different countries. We used correlation and regression tests to examine the association of incidence and mortality rates of brain cancer with HDI. The statistical analysis was carried out by Stata-14 and a significance level of 0.05 was considered. RESULTS: According to the results of Global Cancer Registry in 2018, there were 18,078,957 registered cases of cancer in both sexes, of which 29,681 were related to brain cancer. The highest incidence (102,260 cases, 34.4%) and mortality (77,815 cases, 32.3%) belonged to very high HDI regions. Results showed that incidence (r = 0.690, P < 0.0001) and mortality rates (r = 0.629, P < 0.001) of brain cancer are significantly correlated with HDI. We also observed a positive correlation between brain cancer incidence and Gross National Income (GNI) (r = 0.346, P < 0.001), Mean Years of Schooling (MYS) (r = 0.64, P < 0.001), TABLE (LEB) (r = 0.66, P < 0.001) and Expected Years of Schooling (EYS) (r = 0.667, P < 0.001). Results also revealed that mortality rate was significantly correlated with GNI (r = 0.28, P < 0.01), MYS (r = 0.591, P < 0.01), LEB (r = 0.624, P < 0.01), and EYS (r = 0.605, P < 0.01). CONCLUSION: The results of the study showed that the incidence and mortality of brain cancer in countries with higher HDI levels is higher than countries with lower HDI levels, so attention to risk factors and action to reduce it in countries with higher HDI levels in controlling this cancer in this Countries are effective.
