Prevalence and Determinants of the Co-Occurrence of Overweight or Obesity and Micronutrient Deficiencies among Adults in the Philippines: Results from a National Representative Survey

The double burden of malnutrition (DBM) affects many low- and middle-income countries. However, few studies have examined DBM at the individual level, or undernutrition and overnutrition co-occurring within the same person. This study aims to investigate the prevalence and determinants of DBM among adults in the Philippines. Data from the 2013 National Nutrition Survey were used. The sample size in the analysis was 17,010 adults aged ≥20 years old, after excluding pregnant and lactating women. DBM was defined as the co-occurrence of overweight/obesity and anemia (definition #1), overweight/obesity and anemia or vitamin A deficiency (definition #2), and overweight/obesity and anemia or vitamin A deficiency or iodine insufficiency (definition #3). Anthropometric measurements and biochemical markers were used for DBM assessment. Data were analyzed using descriptive statistics, the chi-square test, and logistic regression by R software. Results showed that definition #3 is the predominant type of DBM (7.0%) in the general population, whereas the prevalence of DBM has increased to 23.7% in overweight/obese persons. Sex, age, educational attainment, marital status, household size, wealth quintile, and smoking status were the determinants of DBM. This study revealed that Filipino adults experience malnutrition critically and must be addressed through food and nutrition interventions.

Prevalence of food insecurity in patients with diabetes in western Kenya

AIMS

To determine the characteristics of patients with diabetes who reported food insecurity at three diabetes clinics in western Kenya.

METHODS

This study includes routinely collected demographic data at the first presentation of patients with diabetes at clinics in western Kenya from 1 January 2006 to 24 September 2011. A validated questionnaire was used to assess food insecurity with descriptive and comparative statistics being used to analyse the food-secure and food-insecure populations.

RESULTS

The number of patients presenting to these clinics who were food-secure and those who were food-insecure was 1179 (68.0%) and 554 (32.0%), respectively. Comparative analysis shows a statistically significant difference in weight, BMI, the presence of a caretaker, and use of insulin between the two groups. These variables were lower in the food-insecure group. The overall assessment of the clinic population revealed an abnormally high mean HbA1c concentration of 81 mmol/mol (9.6%).

CONCLUSIONS

Despite the widely recognized contribution of caloric over-nutrition to the development of diabetes, this study highlights the high prevalence of food insecurity amongst patients with diabetes in rural, resource-constrained settings. Other factors, such as the lower prevalence of obesity, poor glucose control, challenges in the use of insulin because of the risk of hypoglycaemia, and varying subtypes of diabetes in this population, point to the need for additional research in understanding the aetiology, pathophysiology and optimum management of this condition, as well as understanding the effects of enhancing food security.

The U-shaped relationship between BMI and all-cause mortality contrasts with a progressive increase in medical expenditure: a prospective cohort study

The U-shaped relationship between body mass index (BMI) and all-cause mortality has generated uncertainty about optimal BMI. For clarification, we have related BMI to both mortality and medical expenditure. The MJ Health examination cohort of 111,949 examinees established during 1994-1996 was followed with endpoint information derived from death certificates and National Health Insurance records from 1996 to 2007. Age- and gender-specific relative risks between BMI groups were estimated by Cox and logistic regressions. The BMI and all-cause mortality relationship is U-shaped with the concave regions sitting in the region of BMI 22-26, butshifted rightward for the elderly. After excluding smokers and cancer patients at baseline, the low mortality region moved leftward to BMI 20-22. Cause-specific mortalities from respiratory disease, injury, and senility increased in the underweight group (BMI <18.5). Above 18.5, BMI was negatively associated with mortality from respiratory diseases and senility, but not with others. In contrast, irrespective of age and gender, the overall median and mean medical expenditures progressively increased with BMI, particularly beyond 22. Expenditures for injury, respiratory, circulatory diseases and senility all increased with BMI. The U-shaped BMI-mortality relation was a result of elevated death rate at both ends of the BMI scale. Increased mortality at the low end did not contribute to higher medical expenditure, maybe because the lean and frail deceased tend to die abruptly before large amount of medical expenditure was consumed. Our findings suggest that current recommendations to maintain BMI at the lower end of the desirable range remain tenable for the apparently healthy general public.