public string GetCalculation(ClientsData.NewClientData client, int userType)
{
NewCalculation x = new NewCalculation();
x.bmi = Bmi(client);
x.whr = Whr(client);
x.waist = Waist(client);
x.bmr = Bmr(client);
x.tee = Tee(client);
x.recommendedEnergyIntake = RecommendedEnergyIntake(client);
x.recommendedEnergyExpenditure = RecommendedEnergyExpenditure(client);
x.recommendedWeight = RecommendedWeight(client);
x.goal = RecommendedGoal(client);
x.bmrEquations = GetBmrEquations(userType);
x.bodyFat = BF.GetBodyFat(client);
return(JsonConvert.SerializeObject(x, Formatting.None));
}
public NewCalculation GetCalculationData(ClientsData.NewClientData client, int userType)
{
NewCalculation x = new NewCalculation();
x.bmi = Bmi(client);
x.bmiPercentile = GetBmiPercentile(client.agemos, client.gender.value, client.percentileSrc);
client.bmiPercentile = x.bmiPercentile;
x.whr = Whr(client);
x.waist = Waist(client);
x.bmr = Bmr(client);
x.tee = Tee(client);
x.recommendedEnergyIntake = RecommendedEnergyIntake(client);
x.recommendedEnergyExpenditure = RecommendedEnergyExpenditure(client);
x.recommendedWeight = RecommendedWeight(client);
x.goal = RecommendedGoal(client);
x.bmrEquations = GetBmrEquations(userType);
BodyFat BF = new BodyFat();
x.bodyFat = BF.GetBodyFat(client);
x.percentileSrc = GetPercentileSrc();
x.myCalculation = GetMyCalculation(client);
return(x);
}
/********* https://completehumanperformance.com/2013/10/08/calorie-needs/ ************/
public double Bmr(ClientsData.NewClientData x)
{
double BMR = 0;
string type = x.bmrEquation;
if (type == HarrisBenedicts)
{
/***** The original Harris–Benedict equations published in 1918 and 1919 *****/
if (x.gender.value == 0)
{
BMR = 66.5 + 13.75 * x.weight + 5.003 * x.height - 6.755 * x.age; // Men
}
else
{
BMR = 655.1 + 9.563 * x.weight + 1.85 * x.height - 4.676 * x.age; // Women
}
}
else if (type == HarrisBenedictsRozaAndShizgal)
{
/***** The Harris–Benedict equations revised by Roza and Shizgal in 1984 *****/
//Men BMR = 88.362 + (13.397 × weight in kg) +(4.799 × height in cm) -(5.677 × age in years)
//Women BMR = 447.593 + (9.247 × weight in kg) +(3.098 × height in cm) -(4.330 × age in years)
if (x.gender.value == 0)
{
BMR = 88.362 + (13.397 * x.weight) + (4.799 * x.height) - (5.677 * x.age); // Men
}
else
{
BMR = 447.593 + (9.247 * x.weight) + (3.098 * x.height) - (4.330 * x.age); // Women
}
}
else if (type == MifflinStJeor)
{
//BMR (Men) = (10 × weight in kg) +(6.25 × height in cm) − (5 × age in years) +5
//BMR (Women) = (10 × weight in kg) + (6.25 × height in cm) − (5 × age in years) − 161
int a = x.gender.value == 0 ? 5 : -161;
BMR = 10 * x.weight + 6.25 * x.height - 5 * x.age + a;
}
else if (type == KatchMcArdle)
{
//TODO:
// Katch-Mcardle BMR Formula:
//BMR = 370 + (21.6 x Lean Body Mass(kg) )
//Lean Body Mass = (Weight(kg) x(100-(Body Fat)))/100
BodyFat bf = new BodyFat();
BMR = 370 + 21.6 * bf.GetBodyFat(x).lbm;
}
else if (type == Cunningham)
{
//TODO:
/****** Cunninghams = 500 + 22(lean body mass[LBM] in kg) ******/
}
else if (type == Owen)
{
//Men: RMR = 879 + 10.2 X weight
//Women: RMR = 795 + 7.18 X weight
if (x.gender.value == 0)
{
BMR = 879 + 10.2 * x.weight; // Men
}
else
{
BMR = 795 + 7.18 * x.weight; // Women
}
}
else
{
/****** DEFAULT: Mifflin - St.Jeor = 5 + 10(weight in kg) + 6.25(height in cm) − 5(age) ******/
int a = x.gender.value == 0 ? 5 : -161;
BMR = 10 * x.weight + 6.25 * x.height - 5 * x.age + a;
}
return(BMR);
}
