Association of lipid profile parameters, atherogenic index of plasma, anthropometric parameters with the severity of the COVID-19 course in Novosibirsk women

Background: Our study aimed to assess the relationship between the parameters of the lipid profile, atherogenic index of plasma (AIP), anthropometry influence with the severity of the new coronavirus infection COVID-19 in women. Material and methods. The study design was a cross-sectional study. The research included 138 women aged 29–82 years who had undergone a new coronavirus infection COVID-19 at least two months ago. Participants were divided into three groups by severity of infection: mild (n = 61), moderate (n = 70) and severe (n = 7). Body mass index, waistline and hip circumference, waistline circumference to hip circumference index, total cholesterol, triglycerides, HDL, LDL, AIP were calculated. Statistical processing of the obtained results was carried out using the SPSS software package (version 20.0) using the Mann-Whitney test, univariate logistic regression analysis, Pearson chi-squared test. Results. The levels of HDL-cholesterol were significantly lower in group 3 compared with the level of HDL-cholesterol in women in group 2 (p2-3 = 0.046). BMI was higher in the moderately severe group compared to the mild one (26.32 [23.305; 30.4] versus 28.78 [24.72; 34.77], p1-2 = 0.026). Hip circumference was higher in patients with severe COVID-19 than in patients with mild course (104 [98; 112] versus 114 [109.5; 126], p1-3 = 0.039), AIP was higher in women with severe course compared to women with moderate and mild course (p1-3 = 0.043, p2-3 = 0.04). The results of the logistic regression analysis showed that the moderate course of COVID-19 is associated with BMI (OR = 1.09, 95 % CI 1.019–1.166, p1-2 = 0.012), and the severe course with WC (OR = 1.041, 95 % CI 1.001–1.084, p1-3 = 0.046), AIP value ≥ 0.11 (OR = 13.824, 95 % CI 1.505–126.964, p1-3 = 0.02; OR = 11,579, 95 % CI 1,266–105,219, p2-3 = 0.03) and HDL level < 40 mg/dl (OR = 14,750, 95 % CI 2,317–93,906, p1-3 = 0.004; OR = 8,000, 95 % CI 1,313– 48,538, p1-3 = 0.024). Conclusion. Patients from the group with moderate and severe course of the new coronavirus infection have higher body mass index, hip circumference, AIP, lower HDL values. The chance of a moderate course of COVID-19 is associated with an increased BMI value, and a severe course with WC, AIP ≥ 0.11 and HDL level < 40 mg/dl.

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Abstract P128: Serum Lipid Levels at Adolescence can Predict Adult Dyslipidemia in South Korea - The Kangwha Study

Circulation ◽

10.1161/circ.135.suppl_1.p128 ◽

2017 ◽

Vol 135 (suppl_1) ◽

Author(s):

Jung H Lee ◽

Hyeon C Kim ◽

Dae R Kang ◽

Il Suh

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Logistic Regression ◽

South Korea ◽

Lipid Profile ◽

Total Cholesterol ◽

Serum Lipid ◽

Hdl Cholesterol ◽

Multiple Logistic Regression ◽

Auc Value

Introduction: Several studies have examined tracking pattern of lipid profile level during long follow-up periods in Western countries. However, there have been few such studies in East Asia. Hypothesis: We assessed the hypothesis that there exists tracking pattern of lipid profile level from adolescence to adulthood, and lipid measurements in adolescence can predict adult dyslipidemia in South Korea. Methods: The Kangwha Study was a community-based prospective cohort study that started in 1986 in Kangwha County, South Korea . A total of 400 participants (54% women) whose serum total cholesterol, triglyceride, and high density lipoprotein (HDL) cholesterol level were measured at least once during adolescence (1992-1996), and repeatedly measured at least once during adulthood (2005-2015) were enrolled in our study. Body mass index, waist circumstance, and blood pressure were measured at all measurements. Family history of cardiovascular disease, smoking history, and presence of adult dyslipidemia were checked at adulthood. The tracking pattern of lipid profile level was determined by tracking coefficients (low: <0.30; moderate: 0.30-0.59; moderately high: 0.60-0.89; high: ≥0.90). The tracking coefficients were calculated by Generalized Estimating Equation. The predictability of adult dyslipidemia was assessed by multiple logistic regression and area under curve (AUC) value. Additional analyses were performed to find out whether repeated lipid measurements during adolescence can enhance the predictability of adult dyslipidemia or not. Results: The presence of adult dyslipidemia was 26.3% (105 of 400). Mean age of study participants at enrollment is 13.8 years (SD, 1.6 years), and that at adulthood is 30.1 years (SD, 3.7 years). When adjusted for age, body mass index, waist circumstance, and blood pressure, the tracking coefficient of total cholesterol was 0.59 (95% confidence interval (CI), 0.54-0.63), that of triglyceride was 0.39 (95% CI, 0.28-0.49), and that of HDL cholesterol was 0.51 (95% CI, 0.46-0.55). The AUC value of our multiple logistic regression model on adult dyslipidemia without lipid profile levels at adolescence was 0.77 (95% CI, 0.72-0.83), and that with lipid profile levels at adolescence was 0.80 (95% CI, 0.75-0.85). P value for AUC comparison was significant (p=0.02). In additional analyses, using the average lipid profile levels in multiple lipid measurements at adolescence did not significantly improve the AUC value (p>0.09). Conclusion: In conclusion, moderate tracking patterns of serum lipid profile level were shown in this study. Serum lipid profile measurements at adolescence could help the prediction of adult dyslipidemia. The results of this study supported the need of lipid profile screening at adolescence.

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Association of body mass index with in-hospital major adverse outcomes in acute type A aortic dissection patients in Fujian Province, China: a retrospective study

Journal of Cardiothoracic Surgery ◽

10.1186/s13019-021-01432-y ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Lingyu Lin ◽

Yanjuan Lin ◽

Qiong Chen ◽

Yanchun Peng ◽

Sailan Li ◽

...

Keyword(s):

Body Mass Index ◽

Logistic Regression ◽

Regression Analysis ◽

Aortic Dissection ◽

Logistic Regression Analysis ◽

Normal Weight ◽

Adverse Outcomes ◽

Multivariable Logistic Regression Analysis ◽

Acute Type ◽

Type A Aortic Dissection

Abstract Background Abnormal body mass index (BMI) has been related to a higher risk of adverse outcomes in patients undergoing cardiac surgery. However, the effects of BMI in patients with acute type A aortic dissection (AAAD) on postoperative outcomes remain unclear. This study aimed to explore the relationships between BMI and in-hospital major adverse outcomes (MAO) in AAAD patients. Methods Patients who underwent AAAD surgery at Cardiac Medical Center of Fujian Province from June 2013 to March 2020 were retrospectively evaluated. They were divided into three groups on the basis of Chinese BMI classification established by the World Health Organization: normal weight group (BMI 18.5–23.9 kg/m2), overweight group (BMI 24–27.9 kg/m2), and obese group (BMI >28 kg/m2). Patients’ baseline characteristics, preoperative, operative, and postoperative data were collected. A multivariable logistic regression analysis model was performed to identify the association between BMI and MAO in AAAD patients. Results Of 777 cases, 31.9% were normal weight, 52.5% were overweight, and 15.6% were obese. A total of 160(20.6%) patients died in-hospital. There was a significant difference between the three groups for MAO (62.9% vs 72.1% vs 77.7%, respectively, P = 0.006). The incidence of postoperative complications did not differ among the three groups, except for postoperative bleeding, and prolonged mechanical ventilation, the proportion of which were higher in the overweight and obese groups. Besides, multivariable logistic regression analysis demonstrated that a higher risk of MAO in the overweight [odds ratios (ORs):1.475, 95%CI:1.006–2.162], and obese patients (ORs:2.147, 95%CI:1.219–3.782) with reference to the normal weight patients, and age, white blood cell, prior stroke and cardiopulmonary bypass time were also associated with in-hospital MAO (P<0.05). Conclusions BMI is independently associated with higher in-hospital MAO in patients who underwent AAAD surgery.

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The association between body mass index and severity of Coronavirus Disease 2019 (COVID-19): A cohort study

PLoS ONE ◽

10.1371/journal.pone.0247023 ◽

2021 ◽

Vol 16 (2) ◽

pp. e0247023

Author(s):

Kulapong Jayanama ◽

Sirawat Srichatrapimuk ◽

Kanin Thammavaranucupt ◽

Suppachok Kirdlarp ◽

Supawadee Suppadungsuk ◽

...

Keyword(s):

Body Mass Index ◽

Logistic Regression ◽

Regression Analysis ◽

Cohort Study ◽

Body Mass ◽

Logistic Regression Analysis ◽

Severe Pneumonia ◽

Adverse Outcomes ◽

Icu Stay ◽

Underweight Patients

Objectives The coronavirus disease 2019 (COVID-19) has become a worst pandemic. The clinical characteristics vary from asymptomatic to fatal. This study aims to examine the association between body mass index (BMI) levels and the severity of COVID-19. Methods and study design A cohort study included 147 adult patients with confirmed COVID-19 were categorized into 4 groups by BMI levels on admission: <18.5 (underweight), 18.5–22.9 (normal weight), 23.0–24.9 (overweight), and ≥25.0 kg/m2 (obese). Rates of pneumonia, severe pneumonia, acute kidney injury (AKI), and ICU stay during hospitalization across BMI group was determined. Logistic regression analysis was used to determine the association between BMI and severe pneumonia. Results Of the totals, patients having a BMI <18.5, 18.5–22.9, 23.0–24.9, and ≥25.0 kg/m2 were 12.9%, 38.1%, 17.7%, and 31.3%, respectively. The rates of pneumonia and severe pneumonia tended to be higher in patients with higher BMI, whereas the rates of AKI and ICU stay were higher in patients with BMI <18.5 kg/m2 and ≥ 25 kg/m2, when compared to patients with normal BMI. After controlling for age, sex, diabetes, hypertension and dyslipidemia in the logistic regression analysis, having a BMI ≥25.0 kg/m2 was associated with higher risk of severe pneumonia (OR 4.73; 95% CI, 1.50–14.94; p = 0.003) compared to having a BMI 18.5–22.9 kg/m2. During admission, elevated hemoglobin and alanine aminotransferase levels on day 7 and 14 of illness were associated with higher BMI levels. In contrast, rising of serum creatinine levels was observed in underweight patients on days 12 and 14 of illness. Conclusions Obesity in patients with COVID-19 was associated with severe pneumonia and adverse outcomes such as AKI, transaminitis and ICU stay. Underweight patients should be closely monitored for AKI. Further studies in body composition are warranted to explore the links between adiposity and COVID-19 pathogenesis.

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Lipid Profile and Atherogenic Index of Plasma (AIP) in Vegetarians

Journal of Enam Medical College ◽

10.3329/jemc.v5i1.21494 ◽

2015 ◽

Vol 5 (1) ◽

pp. 30-33

Author(s):

AN Wahida Sultana ◽

Noortaj Begum ◽

Abu Sadique Abdullah ◽

Md Aminul Haque Khan ◽

Md Rezwanur Rahman ◽

...

Keyword(s):

Lipid Profile ◽

Total Cholesterol ◽

Fruits And Vegetables ◽

Oxidized Ldl ◽

Hdl Cholesterol ◽

Vegetarian Diet ◽

Atherogenic Index ◽

Atherogenic Index Of Plasma ◽

Increased Risk ◽

Control And Prevention

Background: Diet deficient in fresh fruits and vegetables are associated with an increased risk of coronary diseases. Low levels of vitamin C, vitamin E and other antioxidants may enhance the production of oxidized LDL and are important independent risk factors for coronary disease. Objective: To make a comparative evaluation of lipid profile and atherogenic index of plasma (AIP) between vegetarians and nonvegetarians. Materials and Methods: This case-control study was carried out in the Department of Biochemistry of Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka between July 2011 to June 2012. Vegetarian and nonvegetarian subjects of male sex were the study population. Vegetarians were considered as cases while nonvegetarians as controls. After proper ethical consideration a total of 30 vegetarians and 40 nonvegetarians were consecutively included in the study based on predefined inclusion and exclusion criteria. Laboratory investigations were done in the Department of Biochemistry, BSMMU, Dhaka. Results: The vegetarians had significantly lower total cholesterol and LDLcholesterol than the nonvegetarians (p=0.000 and p=0.000 respectively). Serum HDL cholesterol was also lower among the vegetarians (p=0.002) and triglycerides were almost identical in both the groups (p=0.272). Conclusion: The study reveals lower level of total cholesterol, LDLcholesterol and HDL-cholesterol in vegetarians. No difference regarding triglycerides and AIP was found between the groups. So, the findings of this study do not indicate any superiority of vegetarian diet in control and prevention of cardiac diseases. DOI: http://dx.doi.org/10.3329/jemc.v5i1.21494 J Enam Med Col 2015; 5(1): 30-33

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Physical Activity, Overweight, and Perceptions of Neighborhood Environments Among Portuguese Girls

Journal of Physical Activity and Health ◽

10.1123/jpah.3.3.314 ◽

2006 ◽

Vol 3 (3) ◽

pp. 314-322 ◽

Cited By ~ 4

Author(s):

Jorge Mota ◽

Nuno Delgado ◽

Mariana Almeida ◽

José Carlos Ribeiro ◽

Maria Paula Santos

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Environmental Variables ◽

Normal Weight ◽

Activity Levels ◽

Physical Activity Levels ◽

Index 2

Background:The purpose of this study was 1) to compare physical activity levels according to body-mass index; 2) to determine which, if any, neighborhood perceived attributes were related to overweight.Methods:The sample comprised 610 girls age 14.7 ± 1.6 y. Girls were grouped into normal weight and overweight. Environmental variables and physical activity were assessed by questionnaire.Results:No significant differences were found in physical activity levels between normal weight and overweight girls. Logistic regression analysis revealed that girls who agreed that “there is so much traffic on the streets that it makes it unpleasant to walk in the neighborhood” were more likely to be overweight (OR = 1.78; 95% CI 1.10 to 2.89).Conclusion:The study found no relationship between perceptions of the environment and overweight among Portuguese girls, except for perceptions of security for walking in the neighborhood.

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Association of body mass index with in-hospital major adverse outcomes in acute type A aortic dissection patients in Fujian Province, China: a retrospective study

10.21203/rs.3.rs-96028/v2 ◽

2021 ◽

Author(s):

Lingyu Lin ◽

Yanjuan Lin ◽

Qiong Chen ◽

Yanchun Peng ◽

Sailan Li ◽

...

Keyword(s):

Body Mass Index ◽

Logistic Regression ◽

Regression Analysis ◽

Aortic Dissection ◽

Logistic Regression Analysis ◽

Normal Weight ◽

Adverse Outcomes ◽

Multivariable Logistic Regression Analysis ◽

Acute Type ◽

Type A Aortic Dissection

Abstract Background: Abnormal body mass index(BMI) has been related to a higher risk of adverse outcomes in patients undergoing cardiac surgery. However, the effects of BMI in patients with acute type A aortic dissection(AAAD) on postoperative outcomes remain unclear. This study aimed to explore the relationships between BMI and in-hospital major adverse outcomes(MAO) in AAAD patients.Methods: Patients who underwent AAAD surgery at Fujian Province Cardiac Medical Research Center from June 2013 to March 2020 were retrospectively evaluated. They were divided into three groups on the basis of Chinese BMI classification established by the World Health Organization: normal weight group(BMI 18.5-23.9 kg/m2), overweight group(BMI 24-27.9 kg/m2), and obese group(BMI ＞28kg/m2). Patients’ baseline characteristics, preoperative, operative, and postoperative data were collected. A multivariable logistic regression analysis model was performed to identify the association between BMI and MAO in AAAD patients.Results: Of 777 cases, 31.9% were normal weight, 52.5% were overweight, and 15.6% were obese. A total of 160(20.6%) patients died in-hospital. There was a significant difference between the three groups for MAO(62.9% vs 72.1% vs 77.7%, respectively; P=0.006). The incidence of postoperative complications did not differ among the three groups, except for postoperative bleeding, and prolonged mechanical ventilation, the proportion of which were higher in the overweight and obese groups. Besides, multivariable logistic regression analysis demonstrated that a higher risk of MAO in the overweight [odds ratios(ORs):1.475, 95%CI:1.006-2.162], and obese patients(ORs:2.147, 95%CI:1.219-3.782) with reference to the normal weight patients, and age, white blood cell, prior stroke and cardiopulmonary bypass time were also associated with in-hospital MAO (P＜0.05).Conclusions: BMI is independently associated with higher in-hospital MAO in patients who underwent AAAD surgery.

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Comparison of the Clinical Process and Outcomes in Patients after Coronavirus Infection 2019 Outbreak

Medicina ◽

10.3390/medicina57101086 ◽

2021 ◽

Vol 57 (10) ◽

pp. 1086

Author(s):

Sung-Jin Bae ◽

Ho-Sub Chung ◽

Myeong Namgung ◽

Yoon-Hee Choi ◽

Jin-Hong Min ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Hospital Admission ◽

Logistic Regression Analysis ◽

Laboratory Tests ◽

Antibiotic Administration ◽

Admission Rates ◽

Treatment Processes ◽

Patient Arrival ◽

Coronavirus Infection

Background and Objectives: The coronavirus infection 2019 (COVID-19) pandemic has affected emergency department (ED) management. Its viral transmission necessitates the use of isolation rooms and personal protective equipment for treating suspected patients, such as those with fever. This delays the time until the first encounter with the patients, thereby increasing the length of stay (LOS) in the ED. We aimed to compare delays in the ED LOS and clinical processes between the COVID-19 period and pre-COVID-19 period. Moreover, we intended to evaluate if the aforementioned delay affected patient outcomes. Materials and Methods: We conducted a single-center, retrospective study in Korea. Patients with fever were compared between the “COVID-19 period” from March 2020 to August 2020 and the “pre-COVID-19 period” from March 2019 to September 2019. We compared the overall ED LOS and individual time variable, including initial diagnostic tests (laboratory tests, radiography), specific diagnostic test (computed tomography), and treatment processes (antibiotics). A logistic regression analysis was conducted to identify the association between hospital admission and patient data. Results: We enrolled 931 and 749 patients during pre- and COVID-19 periods, respectively. Patients with fever remained in the ED for a longer duration during the COVID-19 period (pre-COVID-19:207.7 ± 102.7 min vs. during COVID-19: 223.5 ± 119.4 min, p = 0.004). The total time for performing laboratory tests and radiography displayed significant differences between the two periods, particularly from the time of patient arrival in the ED to the time of issuing the order. The time until antibiotic administration was delayed in the COVID-19 period (pre-COVID-19:195.8 ± 103.3 min vs. during COVID-19: 216.9 ± 108.4 min, p = 0.003). The logistic regression analysis for hospital admission identified ED LOS as an independent factor in both periods. Conclusions: The delay until encountering patients with fever resulted in longer ED LOS during the COVID-19 period; however, it possibly did not increase the hospital admission rates.

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Association between obesity and venous thromboembolism

Medicine and Pharmacy Reports ◽

10.15386/mpr-1372 ◽

2020 ◽

Author(s):

Cristina Hotoleanu

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Logistic Regression ◽

Regression Analysis ◽

Risk Factor ◽

Venous Thromboembolism ◽

Body Mass ◽

Logistic Regression Analysis ◽

The Body ◽

Increased Risk

Background and aims. Obesity is associated with numerous pathological conditions, including venous thromboembolism (VTE). VTE is a multifactorial disease; more than half of the hospitalized patients are at risk for VTE. We aimed to assess the risk of VTE associated with obesity, taking into account the class of obesity (according to the body mass index), gender, age and the intervention of other acquired risk factors. Method. A case-control study including 732 patients was designed. Collected data included: age, gender, body mass index, pregnancy/ postpartum state, use of hormonal therapy, personal and family history of VTE, smoking, prolonged immobilization and the presence of comorbidities- acquired risk factors for VTE. The risk of VTE was expressed as odds ratio (OR) with 95% confidence interval. Multiple logistic regression analysis was used to detect the independent risk factors. P value < 0.05 was considered significant statistic. Results. Obesity was associated with a 6.2- fold increased risk for VTE. The risk of VTE associated with obesity was highest in patients aged >50 years and in cases included in classes II and III of obesity. The interaction between obesity and another acquired risk factor has almost doubled the risk of VTE. Multivariate logistic regression analysis showed obesity as an independent risk factor for VTE for both female and male patients. Conclusion. Obesity is an independent and moderate risk factor for VTE. The risk increases with body mass index, age and the presence of other acquired risk factors.

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Association of Body Mass Index With Postoperative Early Adverse Outcomes in Acute Type a Aortic Dissection Patients in Fujian Province, China: A Retrospective Study

10.21203/rs.3.rs-96028/v1 ◽

2020 ◽

Author(s):

Lingyu Lin ◽

Yanjuan Lin ◽

Qiong Chen ◽

Yanchun Peng ◽

Sailan Li ◽

...

Keyword(s):

Body Mass Index ◽

Logistic Regression ◽

Regression Analysis ◽

Aortic Dissection ◽

Body Mass ◽

Logistic Regression Analysis ◽

Adverse Outcomes ◽

Acute Type ◽

Obese Patients ◽

Type A Aortic Dissection

Abstract Background: Abnormal body mass index (BMI) has been related to a higher risk of adverse perioperative outcomes in patients undergoing cardiac surgery. However, the effects of BMI in patients with acute type A aortic dissection (AAAD) on postoperative outcomes remain unclear. The aims of this study were to explore the relationships of BMI and postoperative early adverse outcomes in AAAD patientsMethods: Patients who underwent AAAD surgery at Fujian Province Cardiac Medical Research Center from June 2013 to March 2020 were retrospectively evaluated. They were divided into three groups on the basis of Chinese BMI classification established by the World Health Organization: normal group (BMI 18.5-23.9 kg/m2), overweight group (BMI 24-27.9 kg/m2), and obesity group (BMI > 28kg/m2). Preoperative, intraoperative, and postoperative data were collected. Multivariable and univariable logistic regression analysis models were performed to identify whether BMI was independently associated with postoperative adverse outcomes.Results: Of 777 cases, 31.9% were normal weight, 52.5% were overweight, and 15.6% were obese. The percentage of prolonged mechanical ventilation (44.9% vs 55.8% vs 66.1%, respectively; P<0.001) and the median duration of intensive care unit stays (8.1 vs 9.5 vs 12.0 days, respectively; P<0.001) were higher and longer in the overweight and obese group. Multivariable logistic regression analysis demonstrated that a higher risk of postoperative early adverse outcomes in the overweight (odds ratio [OR]: 2.374, 95%CI: 1.647–3.422), and obese patients (OR: 3.659, 95%CI: 2.122–6.308) with reference to the normal BMI patients, and age, heart rate, and surgery duration were also associated with postoperative early adverse outcomes (P<0.05).Conclusion: Overweight and obese patients are independently associated with higher postoperative early adverse outcomes in patients who underwent AAAD surgery.

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ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

Jurnal Penelitian Kebidanan & Kespro ◽

10.36656/jpk2r.v2i1.178 ◽

2019 ◽

Vol 2 (1) ◽

pp. 27-33

Author(s):

Megawati Sinambela ◽

Evi Erianty Hasibuan

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Antenatal Care ◽

Pregnant Women ◽

Logistic Regression Analysis ◽

Care Service ◽

Multivariate Logistic Regression Analysis ◽

Bivariate Analysis ◽

Cross Sectional ◽

The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

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