INTRODUCTION

Dementia has been a public health concern for several years. As the population continuously ages, the prevalence of dementia is projected to significantly rise, thus governments will face an increasing demand for support services. Unfortunately, dementia is not recognized as a major public health concern in the Philippines. As the extent of the dementia epidemic needs to be further delineated in the Philippines, and research on dementia is still limited, a larger study is needed to provide more information about the disease burden. This will raise awareness and inform policy makers about the necessity of social and health care reform in dementia care.

We aimed to collect uniform data from patients with cognitive impairment and determine the frequency of dementia and mild cognitive impairment in the study population. These data are crucial for providing information to policy makers in the country.

METHODS AND ANALYSIS

This is a multi-center, prospective, observational, non-interventional study and standing database of patients clinically diagnosed with Mild Cognitive Impairment (MCI) or dementia seen at the participating training institutions. Corresponding anonymized data on demographics, medical history, risk factors, level of functional impairment, diagnosis, baseline cognitive scores and management will be collected from each patient and entered into the database using a secure online data collection tool. Collective data will be extracted, summarized and analyzed every year with oversight provided by the Philippine Neurological Association (PNA).

ETHICS AND DISSEMINATION

Approval from the ethics committees or institutional review boards (EC/IRB) was obtained from the Single Joint Research Ethics Board and all participating institutions.

The PNA1DB-Dementia initiative will be crucial in providing information to policy makers, to further enhance the implementation of the Mental Health Act. The dissemination of results will be conducted through scientific or public conferences and scientific journal publication.

TRIAL REGISTRATION

NCT05484960; ClinicalTrials.gov.

Human ; Dementia ; Database ; Philippines

Objective: To investigate the risks of pre-pregnancy overweight, excessive gestational weight gain on macrosomia. Methods: We conducted one hospital-based cohort study, focusing on pregnant women from January 2015. All pregnant women attending to this hospital for maternal check-ups, were included in our cohort and followed to the time of delivery. Data related to general demographic characteristics, pregnancy and health status of those pregnant women, was collected and maternal pre-pregnant BMI and maternal weight gain were calculated. Logistic regression was used to explore the risk difference of pre-pregnancy BMI, excessive gestational weight gain on macrosomia. Results: The overall incidence of macrosomia in our cohort appeared as 6.6% (149/2 243). After adjusting the confounding factors including age and histories on pregnancy, pre-pregnancy overweight/obesity was associated with higher risks of macrosomia (OR=3.12, 95%CI: 1.35-7.22, P=0.008; OR=2.99, 95%CI: 1.17-7.63, P=0.022) when comparing to those with normal pre-pregnancy weight. Cesarean delivery and sex of the offspring were associated with higher risk of macrosomia, while excessive gestational weight gain showed no significant difference (OR=1.41, 95%CI: 0.96-2.09, P=0.084). Our data showed that Macrosomia was statistically associated with gestational weight gain (P=0.002). After controlling parameters as age, history of pregnancy and related complications of the pregnant women, results from the logistic regression showed that women with gestational inadequate weight gain having reduced risks to deliver macrosomia, when compared to those pregnant women with adequate weight gain (OR=0.52, 95%CI: 0.30-0.90, P=0.019). Conclusion: Pre-pregnancy overweight and obesity were on higher risks to macrosomia.
Body Mass Index ; Cesarean Section/statistics & numerical data* ; China/epidemiology* ; Female ; Fetal Macrosomia/epidemiology* ; Humans ; Incidence ; Logistic Models ; Obesity/epidemiology* ; Overweight/epidemiology* ; Pregnancy ; Pregnancy Complications/epidemiology* ; Prospective Studies ; Weight Gain

Cholangiography ; Humans