Who’s talking to whom in agribusiness? And should anyone listen? The network of intellectual influence in agribusiness research

PurposeTo develop an understanding of communication among agribusiness journals and to examine patterns of citations that allow the measurement and description of the structure of communication flows among those journals in a network.Design/methodology/approachThe data for this study were gathered from the Journal Citation Reports (JCR) published by Thomson Scientific (Philadelphia). The authors conducted a bibliometric analysis, based on an international trade analogy to explain the network of agribusiness journals and how these journals communicate with business and economics journals.FindingsBusiness and economics journals and, particularly the traditionally major ones, surprisingly were scarcely every used. However, the British Food Journal stood out with 50 citations to marketing and strategic management journals.Research limitations/implicationsThere are predominantly four such limitations: only 33 journals were studied, only one 5-year time period was involved, that time period is a few years old and the journal characteristics were derived using data from the “Scopes” and “Information for Authors” text on the website of each journal.Practical implicationsExchanges of agribusiness knowledge and information among diverse stakeholders (consumers, suppliers and public agencies) in a complex environment require a better understanding of the network of agribusiness journals and their relation to traditional business and economics journals.Social implicationsNetworks of journals facilitate cooperation and interactions to improve developments in the field.Originality/valueExamining citations from and to the field of agribusiness is interesting and important because knowledge is transferred through networks comprise those who contribute to journals, read them and learn from them, i.e. by “talking” to each other as well as by practitioners who also read and learn from those journals.

PENGEMBANGAN MAKANAN TAMBAHAN BERBASIS F100 DENGAN SUBSTITUSI TEPUNG LABU KUNING DAN TEPUNG PISANG

Latar Belakang: Perlu pengembangan modifikasi makanan tambahan dengan komposisi bahan berbasis F100.Tujuan: Mengetahui perbedaan kadar energi, protein dan lemak serta uji daya terima cookies berbasis F100 dengan substitusi tepung labu kuning dan tepung pisang.Metode: Jenis penelitian ini adalah penelitian eksperimen rancangan acak lengkap 1 faktorial. Konsentrasi substitusi tepung labu kuning dan tepung pisang 10%, 20%, 30% dan 0% sebagai kontrol dengan 3 kali ulangan. Kadar energi dengan menggunakan DKBM, kadar protein diuji dengan metode micro Kjeldahl dan kadar lemak dengan metode soxlet. Uji daya terima pada 25 panelis agak terlatih dan 20 balita usia 2-5 tahun. Perbedaan kadar protein dan lemak diuji dengan ANOVA dan uji lanjut LSD, Tukey HSD. Uji daya terima panelis agak terlatih diuji dengan Friedman. Perbedaan kadar energi dan uji daya terima pada balita dianalisis secara deskriptif.. Hasil: Kadar energi paling tinggi pada cookies dengan subtitusi tepung labu kuning konsentrasi 10% (100,73 kkal/100 gram) dan tepung pisang konsentrasi 10% (101,23/100 gram). Ada perbedaan kadar protein dan lemak cookies dengan substitusi tepung labu kuning (p=0,000) dan substitusi tepung pisang (p=0,000). Ada perbedaan daya terima panelis terhadap rasa (p=0,046), warna (p=0,000), tekstur (p=0,007) dan tidak ada perbedaan aroma (p=0,126) cookies substitusi tepung labu kuning. Tidak perbedaan terhadap rasa (p=0,984), warna (p=0,352), tekstur (p=0,758), aroma (p=0,680) cookies substitusi tepung pisang. Lebih dari 50% balita menghabiskan cookies substitusi tepung labu kuning konsentrasi 10%, 20% dan tepung pisang konsentrasi 30%.Kesimpulan: Konsentrasi substitusi tepung labu kuning 10%, 20% dan substitusi tepung pisang 30% dapat direkomendasikan sebagai alternatif makanan tambahan.1. Nency Y, Arifin MT. Gizi Buruk, ancaman generasi yang hilang. Inovasi, 2005;5(XVII):1-4.2. Kemenkes RI.Riset Kesehatan Dasar 2013. Jakarta: Kemenkes RI; 2013.3. Dinas Kesehatan Kota Semarang. Laporan Program Penanganan Komprehensif Gizi Buruk di Kota Semarang Tahun 2015. Semarang: Dinas Kesehatan Kota Semarang ;2015.4. Departemen Kesehatan RI. Pedoman pelayanan gizi buruk. Jakarta: Departemen Kesehatan RI; 2011. 5. Departemen Kesehatan RI. Pedoman penatalaksanaan gizi buruk secara rawat jalan untuk Puskesmas. Jakarta: Departemen Kesehatan RI: 2003. 6. Dinas Kesehatan Kota Semarang. Laporan Program Penanganan Komprehensif Gizi Buruk di Kota Semarang. Semarang: Dinas Kesehatan Kota Semarang; 2016.7. Jannah EW, Sulaeman A, Fitria M, Gumilar M, Salsabila ST. Cookies tepung ubi jalar oranye, tepung kedelai, dan puree pisang sebagai pmt balita gizi kurang. Jurnal Riset Kesehatan, 2019;11(1):105–12. 8. Faridah A, Pada KS, Yulastri A, Yusuf L. PatiseriJilid 1. Jakarta: Direktorat Pembinaan Sekolah Menengah Kejuruan; 2008.p 496–515.9. Sutomo BD. Sukses Wirausaha Kue Kering. Cetakan V. Jakarta: Kriya Pustaka; 2012. p.18. 10. Hendrasty, Krissetiana H. Tepung Labu Kuning Pembuatan dan Pemanfaatannya. Yogyakarta: Kanisius; 2003. p. 9. 11. Azhariati R. Pengaruh metode pengeringan terhadap kerusakan betakaroten mi ubi kayu yang diperkaya tepung labu kuning. Agritech. 2008;22(4):153–7. 12. Masli R. Studi pembuatan tepung pisang kepok (musa paradisiaca forma typical) sebagai bahan substitusi pembuatan roti tawar (kajian tingkat kematangan pisang kepok dan suhu pengeringan). Departemen Agroindustri Universitas Muhammadiyah Malang. Skripsi. 2010; 13. Karlin R, Rahayuni A. Potensi Yogurt Tanpa Lemak Dengan Penambahan Tepung Pisang Dan Tepung Gembili Sebagai Alternatif Menurunkan Kolesterol. Journal of Nutrition College. 2014;3(2):293–302. 14. Soekarto ST. Penelitian Organoleptik untuk Industri Pangan dan Hasil Pertanian. Jakarta: Bhatara Karya Aksara; 1985. p. 1–121.15. Persatuan Ahli Gizi Indonesia. Daftar Komposisi Bahan Makanan. Jakarta. Persatuan Ahli GiziIndonesia; 2005. 16. Persatuan Ahli Gizi Indonesia. Tabel Komposisi Pangan Indonesia. Jakarta: Elex Media Komputindo; 2009. 17. Riganakos KA, Kontominas MG. Effect of heat treatment on moisture sorption behavior of wheat flours using a hygrometric tehnique. Developments in Food Science. 1995;37:995–1005. 18. See EF, Wan Nadiah WA, Noor Aziah AA. Physico-chemical and sensory evaluation of breads supplemented with pumpkin flour. ASEAN Food Journal. 2007;14(2):123–30. 19. Asmaraningtyas D. Kekerasan, warna dan daya terima biskuit yang disubstitusi tepung labu kuning. Universitas Muhammadiyah Surakarta. Skripsi. 2014.20. Winarno F. Kimia Pangan dan Gizi. Jakarta: Gramedia Pustaka Utama; 2004. p 41–43.21. Utomo LIVA, Nurali E, Ludong M. Pengaruh Penambahan maizena pada Pembuatan Biskuit Gluten Free casein Berbahan Baku Tepung Pisang Goroho (Musa Acuminate). Cocos, 2017;1(2).22. Subandoro RH, Basito, Atmaka W. Pemanfaatan tepung millet kuning dan tepung ubi jalar kuning sebagai subtitusitepung terigu dalam pembuatan cookies terhadap karakteristik organoleptik dan fisikokimia. Jurnal Teknosains Pangan. 2013;2(4):68–74. 23. Yasinta UNA, Dwiloka B. Nurwantoro N. Pengaruh subtitusi tepung terigu dengan tepung pisang terhadap sifat fisikokima dan organoleptik cookies. Jurnal Aplikasi Teknologi Pangan. 2017;6(3):119–21. 24. Sitohang KAK, Lubis Z, Lubis LM. Pengaruh perbandingan jumlah tepung terigu dan tepung sukun dengan jenis penstabil terhadap mutu cookies sukun. Jurnal Rekayasa Pangan dan Pertanian. 2015;3(3):308–15. 25. Lolodatu ES. Purwijatingngsih LME, Pranata F. Kualitas non flaky crackers coklat dengan variasi substitusi tepung pisang kepok kuning (musa paradisiaca forma typica). Jurnal Teknobiologi. Jurnal Teknobiologi. 2015;1–14. 26. Setyadi DA, Cahyadi W, Surahman DN. Pengaruh jenis Tepung pisang (Musa paradisiaca) dan waktu pemanggangan terhadap karakteristik banana flakes. Universitas Pasundan. Skripsi. 2017.27. Mennella JA, Bobowski NK. The sweetness and bitterness of childhood: Insights from basic research on taste preferences. Physiol Behav. 2015;152:502–7. 28. Widya FC, Anjani G. Syauqy A. Analisis kadar protein, asam amino, dan daya terima pemberian makanan tambahan (PMT) pemulihan berbasis labu kuning (cucurbita moshata) untuk batita gizi kurang. Journal of Nutrition College, 2019;8(4):207–18. 29. Boulanger AM, Vernet M. Introduction of new food textures during complementary feeding: observations in France. Arch Pediatr. 2018;25(1):6–12.

Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point

Background Minorities have an increased incidence of early-onset, obesity-related cerebrovascular disease. Unfortunately, effective weight management in this vulnerable population has significant barriers. Objective Our objective was to determine the feasibility and preliminary treatment effects of a smartphone-based weight loss intervention versus food journals to monitor dietary patterns in minority stroke patients. Methods Swipe out Stroke was a pilot prospective randomized controlled trial with open blinded end point. Minority stroke patients and their caregivers were screened for participation using cluster enrollment. We used adaptive randomization for assignment to a behavior intervention with (1) smartphone-based self-monitoring or (2) food journal self-monitoring. The smartphone group used Lose it! to record meals and communicate with us. Reminder messages (first 30 days), weekly summaries plus reminder messages on missed days (days 31-90), and weekly summaries only (days 91-180) were sent via push notifications. The food journal group used paper diaries. Both groups received 4 in-person visits (baseline and 30, 90, and 180 days), culturally competent counseling, and educational materials. The primary outcome was reduced total body weight. Results We enrolled 36 stroke patients (n=23, 64% African American; n=13, 36% Hispanic), 17 in the smartphone group, and 19 in the food journal group. Mean age was 54 (SD 9) years; mean body mass index was 35.7 (SD 5.7) kg/m2; education, employment status, and family history of stroke or obesity did not differ between the groups. Baseline rates of depression (Patient Health Questionnaire-9 [PHQ-9] score median 5.5, IQR 3.0-9.5), cognitive impairment (Montreal Cognitive Assessment score median 23.5, IQR 21-26), and inability to ambulate (5/36, 14% with modified Rankin Scale score 3) were similar. In total, 25 (69%) stroke survivors completed Swipe out Stroke (13/17 in the smartphone group, 12/19 in the food journal group); 1 participant in the smartphone group died. Median weight change at 180 days was 5.7 lb (IQR –2.4 to 8.0) in the smartphone group versus 6.4 lb (IQR –2.2 to 12.5; P=.77) in the food journal group. Depression was significantly lower at 30 days in the smartphone group than in the food journal group (PHQ-9 score 2 vs 8; P=.03). Clinically relevant depression rates remained in the zero to minimal range for the smartphone group compared with mild to moderate range in the food journal group at day 90 (PHQ-9 score 3.5 vs 4.5; P=.39) and day 180 (PHQ-9 score 3 vs 6; P=.12). Conclusions In a population of obese minority stroke survivors, the use of a smartphone did not lead to a significant difference in weight change compared with keeping a food journal. The presence of baseline depression (19/36, 53%) was a confounding variable, which improved with app engagement. Future studies that include treatment of poststroke depression may positively influence intervention efficacy. Trial Registration ClinicalTrials.gov NCT02531074; https://www.clinicaltrials.gov/ct2/show/NCT02531074

Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point (Preprint)

BACKGROUND Minorities have an increased incidence of early-onset, obesity-related cerebrovascular disease. Unfortunately, effective weight management in this vulnerable population has significant barriers. OBJECTIVE Our objective was to determine the feasibility and preliminary treatment effects of a smartphone-based weight loss intervention versus food journals to monitor dietary patterns in minority stroke patients. METHODS Swipe out Stroke was a pilot prospective randomized controlled trial with open blinded end point. Minority stroke patients and their caregivers were screened for participation using cluster enrollment. We used adaptive randomization for assignment to a behavior intervention with (1) smartphone-based self-monitoring or (2) food journal self-monitoring. The smartphone group used Lose it! to record meals and communicate with us. Reminder messages (first 30 days), weekly summaries plus reminder messages on missed days (days 31-90), and weekly summaries only (days 91-180) were sent via push notifications. The food journal group used paper diaries. Both groups received 4 in-person visits (baseline and 30, 90, and 180 days), culturally competent counseling, and educational materials. The primary outcome was reduced total body weight. RESULTS We enrolled 36 stroke patients (n=23, 64% African American; n=13, 36% Hispanic), 17 in the smartphone group, and 19 in the food journal group. Mean age was 54 (SD 9) years; mean body mass index was 35.7 (SD 5.7) kg/m2; education, employment status, and family history of stroke or obesity did not differ between the groups. Baseline rates of depression (Patient Health Questionnaire-9 [PHQ-9] score median 5.5, IQR 3.0-9.5), cognitive impairment (Montreal Cognitive Assessment score median 23.5, IQR 21-26), and inability to ambulate (5/36, 14% with modified Rankin Scale score 3) were similar. In total, 25 (69%) stroke survivors completed Swipe out Stroke (13/17 in the smartphone group, 12/19 in the food journal group); 1 participant in the smartphone group died. Median weight change at 180 days was 5.7 lb (IQR –2.4 to 8.0) in the smartphone group versus 6.4 lb (IQR –2.2 to 12.5; <i>P</i>=.77) in the food journal group. Depression was significantly lower at 30 days in the smartphone group than in the food journal group (PHQ-9 score 2 vs 8; <i>P</i>=.03). Clinically relevant depression rates remained in the zero to minimal range for the smartphone group compared with mild to moderate range in the food journal group at day 90 (PHQ-9 score 3.5 vs 4.5; <i>P</i>=.39) and day 180 (PHQ-9 score 3 vs 6; <i>P</i>=.12). CONCLUSIONS In a population of obese minority stroke survivors, the use of a smartphone did not lead to a significant difference in weight change compared with keeping a food journal. The presence of baseline depression (19/36, 53%) was a confounding variable, which improved with app engagement. Future studies that include treatment of poststroke depression may positively influence intervention efficacy. CLINICALTRIAL ClinicalTrials.gov NCT02531074; https://www.clinicaltrials.gov/ct2/show/NCT02531074

British Food Journal: gaining global ground

Purpose – The purpose of this paper is to reflect on the impact of editorial policy towards being both inclusive and international on the quantitative metrics of the journal. Design/methodology/approach – A bibliometric analysis was performed. Findings – The chief areas of impact, along with trends in methodologies and international contribution and collaboration are discussed. Originality/value – A review of the British Food Journal over the past ten years.