Latar Belakang: Status gizi pra hamil yang salah satu indikatornya dengan pengukuran Indeks Massa Tubuh (IMT) secara internasional dianggap sebagai gold standar dan sudah ditetapkan secara baku penambahan berat badan ibu selama kehamilan kedepan. Kurang kepedulian ibu sebelum hamil untuk memeriksakan status gizinya masih sangat kurang, hal ini berakibat tidak terdeteksinya ibu sebelum hamil tersebut mengalami Kekurangan Energi Kronik (KEK) yang kemungkinan besar akan berpengaruh terhadap bayi saat hamil kelak.Tujuan: Mengetahui pengaruh status gizi pra hamil dengan indikator IMT terhadap berat badan dan panjang badan bayi lahirMetode: Desain penelitian ini adalah deskriptif korelatiff, dengan pendekatan retrospektif study. Penelitian ini dilakukan Puskesmas Padamara Kabupaten Purbalingga, dengan jumlah sampel sebanyak 30 ibu dan bayi baru lahir. Data status gizi pra hamil, berat badan bayi dan panjang badan bayi diambil dari buku KIA responden dan dianalisis dengan menggunkan uji R2 padaanalisis regresi linier sederhanaHasil: Rata-rata IMT prahamil ibu 22.3±3.9kg/m2 dengan IMT terkecil 17kg/m2 dan IMT terbesar 30 kg/m2. Rata-rata berat badan bayi lahir 2800±390.8gram dengan berat badan terendah 2200 gram dan terbesar 3800 gram. Rata-rata panjang badan bayi lahir 48.3±1,4cm dengan panjang badan terpendek 46 cm dan terpanjang 50 cm. Ada hubungan antara IMT prahamil terhadap berat badan bayi lahir sebesar (r=0.938; r2=0.880; p<0.01). Ada hubungan antara IMT prahamil terhadap panjang badan bayi u lahir sebesar (r=0.876; r2=0.767; p<0.01)Kesimpulan: Status gizi pra hamil berpengaruh besar terhadap berat badan dan panjang badan bayi lahir. Status gizi pra hamil berpengaruh 88% terhadap berat badan bayi dan 76% terhadap panjang badan bayi lahir.

Background: Labor with sectio caesarea may result to an impact after surgery, namely pain. The pain reduction technique that can be done is cutaneous stimulation of Slow Stroke Back Massage.Objective: This study aims to determine cutaneous stimulation  of Slow Stroke Back Massage towards pain in post sectio caesarean patientsMethods: This study used Pre Experimental Design with the One-Group Pretest-Posttest Design approach. The samples studied were 20 patients of post SC surgery by consecutive sampling technique. The instrument used a VAS scale observation sheet. The research data were analyzed through Wilcoxon test.Results: The results showed that the average pain intensity before the intervention was 6.10, the average intensity of pain after the intervention implemented reached 3.90, there was a difference of pain intensity in post sectio caesarean patients before and after cutaneous stimulation technique of Slow Stroke Back Massage (p-value = 0.001)Conclusion: there is an effect of cutaneous stimulation of Slow Stroke Back Massage on pain in post sectio caesarean patients.

The prevalence of stunting has increased from 35.6% in 2010 to 37.2% in 2013. Children who suffer from stunting are at risk of delay in growth and development. The purpose of this study is to determine the relationship between stunting and development status of children under 5 years old. The research design was analytical survey with cross sectional approach. The number of sample were 60 children under 5 years old who selected through quota sampling technique. Microtoase stature meter, WHO anthro software and Denver sheet II were used to assess stunting and development status of children. Data was analysed using distribution frequency, chi square, fisher exact test, and Kolmogorov Smirnov. Result showed that there were no significant correlation between stunting and gross motor, fine motor, social and language development (p=0,649; p=1,000; p=1,000 and p=0.998 respectively). In conclusion, there is no relationship between stunting status and child development. However, mothers of children age less than 5 years old who suffers from stunting is suggested to pay attention to the developmental aspect of their children by taking regular screening and providing stimulation.

Epidemiological studies show that the prevalence of diabetes mellitus and impaired glucose tolerance (GTG) increase in line with the age. The increase in the prevalence of non-communicable diseases is associated with changes in lifestyle, including smoking, consumption of alcoholic beverages, physical activity, and eating patterns which is low in vegetables and fruits, obesity, hypertension, hypercholesterolemia. This study was aimed to determine the relationship between physical activity with the health status of elderly diabetes mellitus patients. This research was a quantitative study with cross sectional design. The sampling technique in this study used quota sampling. The samples were 50 elderly patients with Diabetes Mellitus. Univariate data analysis was used to look for frequency distribution, bivariate analysis used was chi square, and data normality was tested using Wilk Shappiro test. Physical activity data was collected by using a questionnaire. Nutritional status data was performed by anthropometric examination to determine BMI and waist circumference. Data on random blood sugar levels and total blood cholesterol levels were obtained using easy touch sticks and the results of the study resulted in the majority of DM patients aged ≥ 60 years (60%), having elementary education (74.0%), having a family history of Diabetes Mellitus (62 %), female sex (92%), mostly having good diet (58.0%), poor physical activity (58%), have diabetes mellitus blood sugar levels (84.0%), fat body mass index (36%), high limit cholesterol levels (46%), and central obesity (84%). Physical activity related to health status at fasting blood sugar levels (p value = 0.042) was not related to cholesterol levels (p value = 0.758), not related to obesity (p value = 1,000), and related to central obesity (p value = 0.015).

The prevalence of diabetes mellitus increases as someone grows older. This increase is related to changes in lifestyle, including smoking, alcohol consumption, physical activity, eating patterns that lacks of vegetables and fruits, obesity, hypertension, and hypercholesterolemia. This study aims to determine the correlation between diet and the health status of elderly patients with diabetes mellitus. This research is a quantitative study with cross sectional design. The sampling technique used was a quota sampling which generated 50 elderly patients with Diabetes Mellitus. Univariate analysis was in the form of frequency distribution, and bivariate analysis used chi square. The instruments were a dietary questionnaire, stature meter and stepping scales to measure BMI, metlin to measure pelvic circumference, and easy touch sticks to assess fasting blood sugar levels and blood cholesterol levels. The results showed that most DM patients aged ≥ 60 years (60%), had elementary education (74.0%), had a family history of Diabetes Mellitus (62%), were female (92%), had a good diet (58.0%), had high blood sugar levels (84.0%), obese body mass index (36%), high limit cholesterol levels (46%), central obesity (84%). Eating patterns are not related to fasting blood sugar levels (p value = 0.828), are not related to cholesterol levels (p value = 0.088), are associated with obesity (p value = 0.025), are not related to central obesity (p value = 0.441).

The measurement of MUAC is a way to identify the risk of chronic energy deficiency (CED). Pregnant women with CED are at risk of delivering Low Birth Weight Babies (LBW), short body length babies (stunting). The objective: to analyze the accuracy and estimation prediction of MUAC measurements on Newborn anthropometry. The Method: The design of this study is descriptive korelatiff, with a cross sectional approach. Quota sampling sampling techniques were 30 mothers and newborn babies. The data is secondary data taken from KIA book. Analysis using Spearman rank test and linear regression. Results: The accuracy measurement of MUAC for birth weight was 81.6% (r = 0.903, r2 = 0.816, p value = .0001). The accuracy measurement of MUAC for the birth length of a baby was 45.9% (r = 0.691, r2 = 0.459, p value = 0.0001). Estimation model for a baby’s birth wieght : -639,540+139,240* MUAC (cm), Estimation model for noewborn’s length : 37,566+0.409* MUAC (cm). The conclusions: Every 1 cm increase in MUAC there is a baby's birth weight gain of 139.240 grams. Each increase of 1 cm of MUAC there is addition of length of newborn baby 0.409 cm.