Periodontal disease in gestational and type 1 diabetes mellitus pregnant women

Objective: The present study evaluated the relationship between periodontal disease and its clinical variables in Brazilian non-diabetic pregnant women (C), gestational diabetes mellitus (GDM), or type 1 diabetes mellitus (T1DM). Subjects and methods: A periodontal exam was performed in one hundred and sixty-one pregnant women (GDM:80; T1DM:31; C:50) by a single-blinded calibrated examiner who recorded plaque index (PI), gingival index (GI), bleeding index (BI), gingival margin location (GM), probing depth (PD), clinical attachment level (CAL), bleeding on probing (BOP), and tooth mobility index (MI). The medical variables were age, pregestational body mass index (pre-BMI), fasting plasma glucose (FPG), and glycated hemoglobin (HbA(1c)). Results: The GI, GM, PD, CAL, BOP, and MI were significantly higher (P < 0.01) among GDM and T1DM than for C. The PI was higher in GDM and similar between C and T1DM. The Adjusted Final Model for medical variables to evaluate the effects of groups on periodontal parameters confirmed these results. Conclusions: The presence of periodontal disease was significantly higher in Brazilian diabetic pregnancies (GDM and T1DM) when compared to non-diabetic pregnant women (C). The degree of periodontal disease was similar between the GDM and T1DM groups. Age, pregestational BMI, and HbA(1c) were factors related to CAL development in these two types of diabetes mellitus.

Family size, economics and child gender preference: A case study in the Nyeri district of Kenya

Kenyan women have more children, especially in rural areas, than in most developing nations. This is widely believed to be an impediment to Kenya’s economic development. Thus, factors influencing family size in the Kenyan context are important for its future. A brief review of economic theories of fertility leads to the conclusion that both economics and social/cultural factors must be considered simultaneously when examining factors that determine the number of children in a family. The need to do this is borne out in Kenya’s situation by utilising responses from a random sample of rural households in the Nyeri district of Kenya. Economic and social/cultural factors intertwine to influence family sizes in this district. After providing a summary of the main statistical results from the survey, we use multiple regression analysis to explore the influences of a woman’s age, level of education, whether she has outside employment, whether the family keeps livestock, whether she expresses a preference for more boys than girls, whether the family uses only family labour (including child labour) and the size of the farm, which is used as a proxy for family income. It was found that preference for male children has an important positive influence on family size in this district. Women were found to have greater preference for male children than their male counterparts possibly because of their fear of being disinherited if they do not produce an heir for their husbands. Preference for sons was also found in allocation of human capital resources at the household level in that the female respondents were found to have lower levels of education than their male counterparts. Various long-term policies are outlined that may help to reduce the number of offspring of women in Kenya.