Introduction: Obesity is the most frequent metabolic disturbance that can target women of reproductive age, among other population groups, and when obese pregnant women become patients, it represents a serious risk factor for both mother and fetus. Aim: The aim of this study is to offer an overview of the effects exerted by this disturbance on pregnancy. Materials and methods: The study targets 157 pacients admitted to "Alessandrescu-Rusescu" National Institute for Mother and Child Health - Polizu (INSMC), Bucharest, Romania. In order to define the criterion for obesity, WHO classification (body mass index > 30 kg/m²) was used. Data was collected restrospectively after acceptance by the Ethics Committee. Also, we gathered anthropometric data (weight, body mass index and analysis regarding the metabolic profile, including total cholesterol, HDL cholesterol, LDL cholesterol, triglyceride, blood sugar, glycosylated haemoglobin) from all subjects. Each analysis was correlated with each patient's body mass index. Another correlation was made between metabolic profile, antenatal complications and onset of gestational diabetes and premature birth. Statistical analysis was conducted using GraphPad 8 and MedCalc 14.1. Results: Patients had an average body weight of 66.75 kg with a standard deviation of 12.99 kg and a median of 64 kg. Average body mass index was 25.05 kg/m², with a standard deviation of 5,03 kg/m² and a median of 24.2 kg/m². There is a directly proportional and statistically significative correlation between the values of blood sugar, glycosylated haemoglobin, LDL, TG, uric acid and BMI. Also, there is a inversely proportional and statistically significative correlation between the values of HDL and BMI. The CT/HDL ratio, low HDL level and elevated LDL level are the main risk factors for premature birth, while the CT/HDL ratio, low HDL level and elevated TG are the main risk factors for the onset of gestational diabetes. Conclusions: According to the results of this study, the onset of obesity in pregnant woman is rather dependent on each patient's metabolic profile than body weight.