Examining evidence for behavioural mimicry of parental eating by adolescent females. An observational study

Sharps, Maxine; Higgs, Suzanne; Blissett, Jacqueline; Nouwen, Arie; Chechlacz, Magdalena; Allen, Harriet A.; Robinson, Eric

doi:10.1016/j.appet.2015.01.015

Cited by 32 publications

(26 citation statements)

References 33 publications

(61 reference statements)

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“…Specifically, the primary study objectives are to: (1) Test for evidence of bite mimicry among family members during a shared meal. Based on findings from previous studies [20,23], we anticipate that family members will be more likely to take a bite within 5 s of another family member doing so; (2a) Explore if there is significant evidence of bite mimicry within specific family dyads using permutating testing, in which we test if the timing of bites for a given family member is dependent on the bites of other family members they eat with; (2b) Identify the extent to which the following individualand dyad-level characteristics predict dyads exhibiting significant bite mimicry (in Aim 2a): age group, gender, and family member role (parent, child).…”

Section: Study Objectivesmentioning

confidence: 99%

“…There is evidence of eating mimicry in strangers [20] and parent-daughter pairs [23], in which participants were found to unconsciously mimic the eating rate [20] and type of food consumed [23] by their eating partner. Eating mimicry can subsequently impact risk for overweight or obesity by promoting unhealthy (or healthy) food consumption and/or faster eating rates that have been linked to increased energy intake [24] and excess weight [25].…”

Section: Introductionmentioning

confidence: 99%

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Sensing eating mimicry among family members

Bell

Spruijt‐Metz

Mondol

et al. 2019

Translational Behavioral Medicine

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IMPLICATIONSPractice: Social cues impact individual food intake, which highlights the importance of examining these effects of social influence, such as mimicry, on family eating behavior.Policy: The influence of social cues on eating may be more dependent on context and individual differences than existing literature suggests, with implications for family-and group-based eating interventions.Research: Although employing traditional analytic methods to identify eating mimicry replicates previous findings, more rigorous permutation methods suggest eating mimicry only occurs among some family pairs. ABSTRACTFamily relationships influence eating behavior and health outcomes (e.g., obesity). Because eating is often habitual (i.e., automatically driven by external cues), unconscious behavioral mimicry may be a key interpersonal influence mechanism for eating within families. This pilot study extends existing literature on eating mimicry by examining whether multiple family members mimicked each other's bites during natural meals. Thirty-three participants from 10 families were videotaped while eating an unstructured family meal in a kitchen lab setting. Videotapes were coded for participants' bite occurrences and times. We tested whether the likelihood of a participant taking a bite increased when s/he was externally cued by a family eating partner who had recently taken a bite (i.e., bite mimicry). A paired-sample t-test indicated that participants had a significantly faster eating rate within the 5 s following a bite by their eating partner, compared to their bite rate at other times (t = 7.32, p < .0001). Nonparametric permutation testing identified five of 78 dyads in which there was significant evidence of eating mimicry; and 19 of 78 dyads that had p values < .1. This pilot study provides preliminary evidence that suggests eating mimicry may occur among a subset of family members, and that there may be types of family ties more prone to this type of interpersonal influence during meals.

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Section: Study Objectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensing eating mimicry among family members

Bell

Spruijt‐Metz

Mondol

et al. 2019

Translational Behavioral Medicine

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“…7 Beberapa penelitian menunjukkan bahwa ada hubungan yang positif antara pola konsumsi anak dan orang tua serta peran orang tua sehari hari juga dapat mempengaruhi pola konsumsi anak. 8,9 Menurut McGuigan (2012) 10 , ibu berperan penting dalam semua aspek yang berkaitan dengan kesehatan keluarga termasuk dalam pengaturan makan keluarga. Ibu juga Variabel penelitian yang diamati adalah peran ibu sebagai edukator, peran ibu sebagai inisiator, ketersediaan sayur dan buah di rumah dan konsumsi sayur dan buah pada anak.…”

Section: DIunclassified

Peran Ibu sebagai Edukator dan Konsumsi Sayur Buah pada Anak

Afif

Sumarmi

2017

AMNT

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ABSTRAKLatar Belakang: Konsumsi sayur dan buah pada anak usia sekolah masih tergolong rendah dan belum memenuhi anjuran WHO sebesar 400 gr/hari. Banyak faktor yang mempengaruhi konsumsi sayur buah pada anak, terutama terkait peran ibu dan ketersediaan sayur buah di rumah. Tujuan: Menganalisis hubungan peran ibu dan ketersediaan sayur buah di rumah dengan tingkat konsumsi sayur buah pada anak usia sekolah. Metode: Penelitian dengan desain cross sectional dilakukan di SDN Kandang Tepus 01 dan SDN Kandang Tepus 02 Desa Senduro Kabupaten Lumajang dengan jumlah sampel 41 anak kelas 4 dan 5 beserta ibu. Variabel yang diamati dalam penelitian ini adalah peran ibu sebagai edukator dan inisiator untuk buah dan sayur, ketersediaan sayur dan buah di rumah dan konsumsi sayur dan buah pada anak. Pengumpulan data dilakukan dengan metode wawancara dengan instrumen kuesioner dan food frequency semi kuantitatif. Hasil: Besar presentase anak yang mengonsumsi sayur buah sesuai anjuran 400 gr/hari yaitu 17,1% dari 41 anak. Hasil uji chi-square menunjukkan ada hubungan antara peran ibu sebagai edukator (pvalue = 0,014) dan ketersediaan sayur buah di rumah (p-value = 0,003) dengan konsumsi sayur buah pada anak. Ada hubungan peran ibu sebagai edukator dengan ketersediaan sayur buah di rumah (pvalue = 0,028). Namun tidak ada hubungan antar peran ibu sebagai inisiator dengan konsumsi sayur buah pada anak. Kesimpulan: Peran ibu sebagai edukator berhubungan dengan konsumsi sayur buah pada anak karena terkait dengan penyediaan sayur dan buah di rumah.

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“…The ability to explore microlevel eating activities, such as meal microstructure (the dynamic process of eating, including meal duration, changes in eating rate, chewing frequency, etc.) 18 , food choices 19 , and processes (e.g., eating rate 20 ; eating mimicry 21,22 ; etc. ), is important because recent literature suggests that they may play an important role on food selection, dietary intake, and ultimately, obesity and disease risk.…”

Section: Introductionmentioning

confidence: 99%

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review

et al. 2020

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Dietary intake, eating behaviors, and context are important in chronic disease development, yet our ability to accurately assess these in research settings can be limited by biased traditional self-reporting tools. Objective measurement tools, specifically, wearable sensors, present the opportunity to minimize the major limitations of self-reported eating measures by generating supplementary sensor data that can improve the validity of self-report data in naturalistic settings. This scoping review summarizes the current use of wearable devices/sensors that automatically detect eating-related activity in naturalistic research settings. Five databases were searched in December 2019, and 618 records were retrieved from the literature search. This scoping review included N = 40 studies (from 33 articles) that reported on one or more wearable sensors used to automatically detect eating activity in the field. The majority of studies (N = 26, 65%) used multi-sensor systems (incorporating > 1 wearable sensors), and accelerometers were the most commonly utilized sensor (N = 25, 62.5%). All studies (N = 40, 100.0%) used either self-report or objective ground-truth methods to validate the inferred eating activity detected by the sensor(s). The most frequently reported evaluation metrics were Accuracy (N = 12) and F1-score (N = 10). This scoping review highlights the current state of wearable sensors' ability to improve upon traditional eating assessment methods by passively detecting eating activity in naturalistic settings, over long periods of time, and with minimal user interaction. A key challenge in this field, wide variation in eating outcome measures and evaluation metrics, demonstrates the need for the development of a standardized form of comparability among sensors/multi-sensor systems and multidisciplinary collaboration.npj Digital Medicine (2020) 3:38 ; https://doi.

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Examining evidence for behavioural mimicry of parental eating by adolescent females. An observational study

Cited by 32 publications

References 33 publications

Sensing eating mimicry among family members

Sensing eating mimicry among family members

Peran Ibu sebagai Edukator dan Konsumsi Sayur Buah pada Anak

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review

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