Determinants of severe acute malnutrition among children under 5 years of age in Nepal: a community-based case-control study.

BACKGROUND: Malnutrition is one of the leading causes of morbidity and mortality among children under the age of 5 years in low and middle income countries like Nepal. Children with severe acute malnutrition (SAM) are nine times more likely to die than children without malnutrition. The prevalence of SAM has increased in Nepal over the past 15 years; however, the determinants of SAM have not been clearly assessed in the country. OBJECTIVE: To assess the determinants of SAM among children aged 6-59 months in the Bara district of Nepal. SETTING: A community-based case-control study was conducted in 12 randomly selected Village Development Committees (VDCs) of the Bara district of Nepal. PARTICIPANTS: A random sample of 292 children aged 6-59 months (146 as cases and 146 as controls) from 12 VDCs were included in this study. RESULTS: The prevalence of SAM among children under the age of 5 years was 4.14%. The following factors were significantly associated with SAM: low socioeconomic status (adjusted odds ratio (AOR) 17.13, 95% CI 5.85 to 50.13); mother's age at birth <20 or >35 years (AOR 3.21, 95% CI 1.30 to 7.94); birth interval <24 months (AOR 4.09, 95% CI 1.87 to 8.97); illiterate father (AOR 3.65, 95% CI 1.62 to 8.20); bottle feeding (AOR 2.19, 95% CI 1.73 to 12.03); and not initiating complementary feeding at the age of 6 months (AOR 2.91, 95% CI 1.73 to 12.03). Mother's educational level, initiation of breastfeeding, colostrum feeding, and exclusive breastfeeding were not significantly associated with SAM. CONCLUSION: The mother's age at birth, birth interval, socioeconomic status, father's educational level and initiation of complementary feeding at the age of 6 months were important determinants of SAM among children. A multi-sector approach is essential to address SAM. There is a need for further studies not only focusing on SAM but also moderate acute malnutrition.

Impaired Sleep Predicts Cognitive Decline in Old People: Findings from the Prospective KORA Age Study.

STUDY OBJECTIVES: To investigate the association between sleep-related characteristics and cognitive change over 3 years of follow up in an aged population. METHODS: Sleep characteristics and covariates were assessed at baseline in a standardized interview and clinical examination of the population-based KORA Age Study (n = 740, mean age = 75 years). Cognitive score (determined by telephone interview for cognitive status, TICS-m) was recorded at baseline and 3 years later. RESULTS: At baseline, 82.83% (n = 613) of participants had normal cognitive status, 13.51% (n = 100) were classified with mild cognitive impairment (MCI), and 3.64% (n = 27) with probable dementia. The effect of three distinct patterns of poor sleep (difficulties initiating [DIS] or maintaining sleep [DMS], daytime sleepiness [DS] or sleep duration) were considered on a change in cognitive score with adjustments for potential confounders in generalized linear regression models. Cognitive decline was more pronounced in individuals with DMS compared to those with no DMS (ß = 1.33, 95% CI = 0.41-2.24, P < 0.001). However, the predictive power of DMS was only significant in individuals with normal cognition and not impaired subjects at baseline. Prolonged sleep duration increased the risk for cognitive decline in cognitively impaired elderly (ß = 1.86, 95% CI = 0.15-3.57, P = 0.03). Other sleep characteristics (DIS and DS) were not significantly associated with cognitive decline. CONCLUSIONS: DMS and long sleep duration were associated with cognitive decline in normal and cognitively impaired elderly, respectively. The identification of impaired sleep quality may offer intervention strategies to deter cognitive decline in the elderly with normal cognitive function.