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Table 1 Characteristics and results table for included studies (n = 62)

From: The relationship between the home environment and child adiposity: a systematic review

Author, year

Study design

Country

Sample N (% male), age

HE Constructs assessed

HE measure (items, method of administration)

Adiposity Outcome

Key finding: Relationship with adiposity

MEDIA ENVIRONMENT ONLY (STUDIES N = 23)

 Adachi-Mejia et al. 2007 [16]

Cross

USA

2343 (50%), 9–12 y

Physical - TV in bedroom. TVs in household

2 items; PR

BMI z-scoresa

TV in bedroom associated with OW (OR = 1.32).

 Anderson et al., 2010 [24]

Cross

USA

8550 (51%), 4 y

Social - Caregiver limits around screen-time (< 2 h/day)

1 item; PR.

BMI z-scoresa

Limits on screen-viewing duration associated with lower odds of OB (OR = 0.85, p = 0.002).

 Atkin et al. 2013 [25]

Prosp

UK

2064, (T0) 9–10 y (45%); (T1) 10–11 y (41%)

Physical - Media equipment (TV, computer) in bedroom and household (assessed T0, T1y)

2 items; PR

BMI, weight status (NW/OW)d

Children with OW more likely to have a TV in bedroom (T0 and T1) compared to children with NW. No effect of computer in bedroom. Higher total bedroom media score in children with OW compared to NW (T1y).

 Borghese et al. 2015 [26]

Cross

USA, Canada

1201 (43%), 10 y.

Physical - TV in bedroom

ISCOLE HNEQ; 1 item; PR.

Body Fat %

Canadian sample: TV in bedroom associated with higher BF% compared to no TV (boys: 21.8% vs 18.1%; girls: 24.9% vs 21.3%). American sample: TV in bedroom associated with higher BF% compared to no TV in boys (21.4% vs 18.9%) only.

 Cameron et al. 2013 [27]

Cross

7 European Countriesb

7234 (48%), 10–12 y.

Physical - TV in bedroom

1 item; PR.

BMI & WCd

TV in bedroom associated with higher BMI and waist circumference (in 4/7 European countries).

 Chahal et al. 2013 [28].

Cross

Canada

3398 (50%), 10–11 y

Physical - Media equipment in bedroom (TV, DVD player, computer, video game console, phone)

Project EAT-III questionnaire, (5 items), PR and CR

BMI and weight status (NW, OW, OB)d

Electronic media devices (3+) in bedroom associated with greater odds of OW (OR = 2.57) or OB (OR = 2.23, p < .05) compared to no devices. Increased odds of OB for children with TV in bedroom (OR = 1.64), or computer in bedroom (OR = 1.47). Increased odds of OW for children with phone in bedroom (OR = 1.42).

 Chaput et al. 2014 [29]

Cross

Canada

502 (41%), 9–11 y

Physical – Media equipment in bedroom (TV, computer, video games)

ISCOLE HNEQ; 3 items; PR.

BMI z-scores, BMI centile, BF%e

2–3 screens in bedroom associated with higher BF% compared to no screen. TV in bedroom associated with higher BF% compared to no TV. Computer in bedroom not associated with BF%.

 Dube et al. 2017 [30]

Cross

Canada

2334 (47%), 10–11 y.

Physical - Media equipment in bedroom (TV, computer, video game, tablet, mobile phone)

Project EAT-III Q; 5 items; PR.

BMId

≥1 device in bedroom associated with increased odds of OB (OR = 1.82). Increased odds of OB for those with mobile phone (OR = 1.56, 95% CI: 1.24, 1.98), TV (OR = 2.56), and/or computer (OR = 2.79) in bedroom.

 Farajian et al. 2014 [31]

Cross

Greece

4552 (49%), 10–12 y

Physical - Media equipment in bedroom (TV, computer, video game)

2 items; CR

BMId

Having both TV and PC/video game console in bedroom associated with increased odds of OW/OB (OR = 1.41).

 Ferrari et al. 2015 [32]

Cross

Brazil

441 (49%),

9–11 y.

Physical - Media equipment in bedroom (TV, computer, video games)

ISCOLE HNEQ;3 items; PR.

BMIe

Video games in bedroom associated with higher BMI (β = 0.94). 2–3 electronic devices in bedroom associated with higher BMI (β = 0.51). No association with BMI for TV and computer.

 Ferrari et al. 2017 [33]

Cross

Brazil

328 (52%), 9–11 y

Physical - Media equipment in bedroom (TV)

ISCOLE HNEQ; 3 items; PR.

BMI, BF %, WCe

No associations with BMI.

 Hardy et al. 2012 [34]

Cross

Australia

1141 (50%), 5–12 y

Physical – TV in bedroom. Social - Caregiver rules around screen-time duration.

ASAQ; 4 items; PR; validated.

BMI, weight status (HW, OW/OBd

Girls with OW more likely to have a TV in bedroom compared to girls with NW (OR = 2.00) (no association for boys). No association between caregiver media rules and weight status.

 Heilmann et al. 2017 [35]

Prosp

UK

12,556 (51%), 7–11 y.

Physical - Media equipment in bedroom (TV)

1 item; PR

BMI, body fat, weight statusd

TV in bedroom (at age 7) associated with greater RR of having OW at age 11 (RR for boys = 1.21; RR for girls = 1.31) compared to no TV.

 Gomes et al. 2015 [36]

Cross

Portugal

580 (58.1%), 9–11 y.

Physical - Media equipment in bedroom (TV, computer, video games)

ISCOLE HNEQ; 3 items, PR.

BMIe

Media in bedroom associated with higher BMI (β = 0.26).

 Lane et al. 2014 [37]

Cross

Ireland

8568 (48.7%), 9 y

Physical - Media equipment in bedroom (TV, computer, video games, phone)

4 items; PR.

BMId

TV in bedroom (OR = 1.38) and owning a mobile phone (OR = 1.41) associated with increased odds for OW or OB. No association for computer and games console in bedroom.

 Li et al. 2014 [38]

Cross

China

497 (51.7%), 8–10 y

Physical - Media equipment in home (games console, computer, DVD)

3 items; PR.

BMI SDSb

No media equipment in home associated with lower risk of OB compared to 1–2 devices, specifically DVD players (OR = 0.68) and games consoles (OR = 0.60). No association for computer.

 Lehto et al. 2011 [39]

Cross

Finland

604 (48.3%), 9–11 y.

Physical - Media equipment in bedroom (TV, computer, video games)

2 items; CR.

BMI, WC, WHtRk

TV in bedroom associated with higher WC (β = 2.30). Computer/video games in bedroom associated with higher WC (β = 1.33)

 Sijtsma et al. 2015 [40]

Cross

Netherlands

1670 (53%), 3–4 y

Physical – TV in bedroom. Number of TVs in home.

LRBQ; 2 items; PR.

BMI z-scorei

TV in bedroom associated with higher BMI. No association between number of televisions in home on and BMI.

 Tiberio et al. 2014 [41]

Prosp

USA

213 (45%), 5–9 y

Social - Caregiver monitoring and limit setting around media use

3 itemsn; PR

BMI z-scoresa

Less maternal monitoring associated with higher BMI z-scores at age 7 (β = −.23, p < 0.01) and steeper increases in BMI z-scores from ages 5 to 9 y (β = −.058, p < 0.01).

 Rutherford et al. 2015 [42]

Prosp

Australia

4983 (51.4%) 4–9 y

Physical – TV in bedroom and computer in home. Social - Caregiver rules around TV viewing duration

3 items; PR

BMId

No associations with BMI and weight status.

 Lin et al. 2019 [43]

Cross

Taiwan

1031 (50%), 7–12 y

Media: Social – Caregiver modelling and limit setting around screen-viewing

6 items; PR.

BMIq

No association with weight status.

 Paduano et al. 2020 [44]

Cross

Italy

588 (53.2%), 6–7 y

Media: Physical – TV in bedroom

1 item; PR.

BMI z-scored

TV in bedroom associated with higher odds of OW/OB (OR = 1.1)

 Park et al. 2019 [45]

Cross

USA

129 (48.1%) 2-5y

Media: Physical - TV in bedroom

FNPAp; 20 items; PR; validated.

BMI z-scores, weight statusa

No association with weight status.

FOOD ENVIRONMENT ONLY (n = 13)

 Cassimos et al. 2011 [46]

Cross

Greece

335 (54.03%), 9–12 y.

Physical - Availability of and access to sweets and juice in the home.

21 items; PR.

BMId

Availability of sweets associated with increased odds of OW/OB (OR = 0.357).

 Chen et al. 2018 [47]

Cross

China

222 (51.5%), 3–6 y

Physical - Energy dense foods at home

FEAHQ; 29 items; PR, validated.

BMIe

Availability of energy dense foods associated with higher BMI (β coefficient = 0.30, p < .01)

 Couch et al. 2014 [13]

Cross

USA

699 (50.2%), 6–11 y

Physical – Availability of energy dense foods and nutrient-dense foods

Social – Caregiver modelling positive eating behaviours. Caregiver rules around child eating.

EMS (7 items); FEAHQ (3 items); AWQ (12 items); PR; validated

BMI z-scoresa

Encouragement/modelling of ‘healthy eating’ negatively associated with BMI z- scores (β coefficient = −0.17). No association between food availability and BMI z-scores. No association between caregiver rules around child eating and BMI z-scores.

 Downs et al. 2009 [48]

Cross

Canada

225 (NP), 9–12 y

Physical - Food and beverages in the home.

FAQ; NP; CR interview.

BMId

No associations with BMI.

 Humenikova et al. 2008 [49]

Cross

Czech and USA

US: 45 (33%)

Czech: 97 (43%), 10–11 y

Physical - ‘healthful’ foods (e.g. fruits, vegetables, low-fat dairy) in home

Shelf Inventory; 80 items; PR, validated.

BMI percentilesd

America: No association with BMI z-score. Czech: Greater availability of ‘healthful’ foods associated with lower BMI z-scores (r = −.203, p < .05).

 Gable et al. 2000 [50]

Cross

USA

65 (43%), 6–10 y

Physical aspects - Food and beverages in the home.

FAQ; NP; PR.

BMIm

No associations with BMI.

 Lopez-Barron et al. 2015 [51]

Cross

Mexico

684 (45.5%), 10–11 y

Physical - Food and beverages in the home.

Food inventory; 13 items; CR.

BMI z-scores, Height z-scores, WCb

OW/OB associated with increased odds of availability of fruits and vegetables (OR = 1.10, p = 0.035). OW/OB associated with lower availability of energy-dense foods at home (OR 0.56, p < .001)

 MacFarlane et al. 2009 [52]

Prosp

Australia

T0 = 161 (50%) 5–6 y T1 = 132 (50%) 10–12

Physical - Energy-dense foods at home

Social - Caregiver policies around energy-dense snacks and fast foods.

Family food environment; 7 items; PR.

BMI z-scoresa

No associations with BMI z-scores.

 Terry and Beck, 1985 [53]

Cross

USA

16 (56%) 8–12 y

Physical - Foods in the home (foods traffic lighted based on caloric value; number of red, yellow and green foods visible in home)

In-home observation of food environment × 2.

BMIl

Observation 1: No difference between OB and NW in availability of energy-dense foods. Observation 2: No difference between OB and NW in availability of energy-dense foods.

 Palfreyman et al. 2014 [54]

Cross

UK

484 (51%), 1–8 y

Social - Caregiver modelling of healthy eating behaviour

PARM; 18 items; PR.

BMI z-scoresj

No association with BMI.

 Van Lippevelde et al. 2013 [55]

Cross

7 European Countries15

6374 (47%), 10–12-y.

Physical – Breakfast type foods (milk, cereal, breads) in home

1 item; PR.

BMI z-scoreh

No association with BM.

 Vaughn et al. 2017 [56]

Cross

USA

129 (51%), 3–12 y.

Physical - Food and drinks in the home.

Social - Caregiver modelling of eating and limit setting around unhealthy food intake

CAFPP; 124 items; PR; validated

BMI centiles and z-scoresk

No associations between availability with BMI. No association between caregiver modelling or limit setting around unhealthy eating with BMI.

 Quah et al. 2018 [57]

Cross

Singapore

511 (52.1%), 5y

Social – Caregiver modelling and support for healthy eating.

CFPQ; 8 items; PR; validated.

BMI z-scoreb

No association with BMI z-score.

PHYSICAL ACTIVITY ENVIRONMENT ONLY (n = 5)

 Chivers et al., 2012 [58]

Prosp

Australia

2868 (NP%), 1–10 y.

Physical – PA equipment at home. Social - Caregiver support of PA by visiting park or playground with child.

NP; PR.

BMId

Cross-sectional: No associations with weight status.

Prospective: No associations with weight status.

 Sijtsma et al. 2015 [59]

Cross

Netherlands

1554 (50%), 3–4 y

Social - Caregiver modelling of PA behaviour

SQUASH; 11 items; PR.

BMI z-score and WCi

No association between caregiver modelling of PA and BMI or waist circumference. Caregiver modelling of PA commuting (e.g. walking) associated with lower BMI Z-score (r = −0.062).

 Liszewska et al. 2018 [60]

Prosp

Poland

879 (48%), 6–11 y

Social - Caregiver modelling and support of PA

ARPQ (7 items); Modified CFPQ for PA (31 items); PR; validated

BMI z-scoresb

Caregiver modelling and support of PA associated with lower BMI z-scores (r = −.070, p < .05).

 Schalkwijk et al. 2018 [61]

Prosp

UK

6467 (51%), 3–7 y

Physical - Access to garden at home

1 item; PR.

BMId

No access to garden associated with increased odds for OW/OB (OR = 1.35).

 Umstattd Meyer et al. 2013 [62]

Cross

US/ Mexico

94 (42%), 6–11 y

Physical - PA equipment at home

16 items; interview PR.

BMI percentiles

No associations with BMI.

STUDIES ASSESSING TWO DOMAINS OF THE HOME ENVIRONMENT (n = 16)

 Hales et al. 2013 [63]

Cross

USA

129 (51%), 3–12 y

Media: Physical – Media equipment in home (TV, computer, video games)

PA: Physical - Availability and access to PA equipment

HomeSTEAD; 1015 items; PR; validated.

BMI percentilesa

Media: No associations with BMI.

PA: Greater PA equipment associated with lower BMI (‘adult exercise equipment’; r = − 0.26, and ‘child fixed play equipment’; r = − 0.25 and ‘child portable play equipment’; − 0.23).

 Jones, et al. 2009 [64]

Cross

Australia

140 (51%), 2–6 y

Media: Physical- TV in bedroom. Social aspects - Caregiver rules around TV

PA: Social - Caregiver rules around PA

Parenting Styles Q; 9 items; PR

BMId

Media: No associations with weight status.

PA: No associations with weight status.

 Sleddens et al. 2017 [15]

Prosp

Netherlands

1694 (51.2%), 5–7 y

Media: Social – Caregiver limit setting around screen-based activities

PA: Social – Caregiver support of child PA

ARPQ; 7 items; PR; validated.

BMI z-scorei

Media: Caregiver policy ‘restriction of sedentary behaviour’ associated with greater increases in BMI z-scores from ages 5 to 7.

PA: No association with BMI.

 Taylor et al. 2011 [65]

Cross

Australia

175 (44%), 7–12 y

Media: Social– Caregiver modelling and limit setting around of media use.

PA: Social - caregiver modelling of PA

Parent Physical Activity Practices Q; 11 items; PR.

BMI z-scored

Media: No association with BMI.

PA: No association with BMI.

 Mathialagan et al. 2018 [66]

Cross

Malaysia

802 (NP%), 10–12 y

Media: Social - Caregiver limit setting around electronic media equipment use.

PA: Social - Caregiver PA levels

42 items; CR; validated.

BMIb

PA: No association with weight status.

Media: Caregiver limits on media use associated with lower child weight status.

 Rosenberg et al. 2010 [67]

Cross

USA

116 (52.2%), 5–11 y

Media: Physical – Media equipment in bedroom and home (TV, computer, games console)

PA: Physical - PA equipment at home

Home PA equipment scale (21 items); HEES (14 items); PR.

BMI z-scorea

Media: Electronics in bedroom associated with higher BMI z-score (β coefficient = .17, p < .05). TV in bedroom not associated with BMI.

PA: No association with BMI.

 Mihrshahi et al. 2017 [68]

Cross

Australia

3884 (49%), 6–10 y

Media: Physical - TV in bedroom. Social - Caregiver rules around screen-time

Food: Physical – Sugar-sweetened beverages (SSB) at home. Social - Caregiver policies around sweet snacks

5 items; PR.

BMI, WHtR - abdominal obesityk

Media: TV in bedroom associated with higher odds of OW/OB (OR = 1.74) and abdominal OB (OR = 1.96). No limits on screen-time associated with higher odds of abdominal OB (OR = 1.66).

Food: Availability of SSB associated with higher risk of OW/OB (OR = 1.51) and higher abdominal OB (OR = 1.50) in unadjusted models. No association with adiposity in fully adjusted models.

 Keihner et al. 2009 [69]

Cross

USA

299 (47.8%), 9–11 y

Media: Physical - TV in bedroom. Social caregiver limit setting around screen-time

Food: Social - Caregiver modelling of energy-dense foods

Food and activity diary, FMTS; 4 items; CR and PR.

BMI z-scores, BMI %tilesa

Media: No associations with BMI.

Food: No associations with BMI.

 Huynh, et al. 2011 [70]

Prosp

Vietnam

670 (49%), 4–5 y

Media: Physical - Media equipment in home (TV, computer, video games, portable devices)

Food: Physical - Food and beverages in the home.

HOME-SF; validated.

BMI, skinfold thicknessg

Media: No associations with changes in BMI or skinfold thickness over 1 year.

Food: Availability of ‘healthy foods’ negatively associated BMI (girls only) and skinfold thickness (boys and girls) over 1 year.

 Serene et al. 2011 [71]

Cross

Kuala Lumpur

1430 (41.5%), 9–12 y

Food: Physical – Foods in home. Social - Caregiver encouragement of healthy eating.

PA: Social - Caregiver support of PA

Q developed based on CFQ and DASH.

BMIe

Food: No associations with BMI.

PA: No associations with BMI

 Serrano et al. 2014 [72]

Cross

Puerto Rico

114 (42.1%), 12 y

Food: Social - Caregiver encouragement of healthy eating

PA: Social - caregiver encouragement of PA

Team COOL Survey; 76 items; PR; validated.

BMIa

Food: No association with weight status.

PA: No association with weight status.

 Moreno et al. 2011 [73]

Cross

USA

233 (47%), 5–12 y

Food: Social - Caregiver modelling of healthy eating

PA: Social - Caregiver modelling of PA

FHBS; 27 items; PR; validated.

BMI z-scorea

Composite score: No association between ‘Parent behaviour’ (caregiver modelling of healthy eating and PA) and child BMI z-scores.

 Sirikulchayanonta et al. 2011 [74]

Cross

Thailand

280 children (50%), 8–12 y.

Food: Physical - Foods available in home

PA: Physical – Access to PA equipment/garden

11 items; CR.

Composite score of ‘home environment’

BMI age- and sex- specificf

Composite score: Higher risk ‘home environment’ associated with increased odds of OB (OR = 2.8).

 Torres et al. 2014 [75]

Cross

Puerto Rico

114 (43%), 12 y

Food: Physical - Foods in home.

PA: Physical - PA equipment at home

Home Physical Environment; 10 items; CR

BMI percentilesa

Food: Availability of ‘unhealthy’ foods associated with higher BMI (r = − 0.25). No association between availability of healthy foods with BMI.

PA: Access to PA equipment associated with higher BMI (r = 0.25).

 Crawford et al. 2012 [76]

Cross

Australia

491 (47%), 5–12 y

Media: Physical - TV in bedroom and home. Social - Caregiver limit setting around electronic media

PA: Physical - PA equipment at home. Social - Caregiver support of PA

Home environment questionnaire; 46 items; PR; validated.

BMI z-scoresa

Media: TV in bedroom associated with higher BMI z-scores (B coefficient = 0.24). No association between caregiver limit setting and BMI.

PA: No associations with BM

 Vaughn et al. 2019 [77]

Cross

USA

129 (51%), 3–12 y

Media: Social – Caregiver modelling and limit setting around electronic media use.

PA: Social - Caregiver modelling and support of PA

HomeSTEAD; 196 items; PR; validated.

BMI percentilea

Media: No association with BMI percentile. Caregiver modelling of video games and computer associated with higher BMI percentile (r = 0.15).

PA: Caregiver encouragement of PA associated with lower BMI percentile (r = − 0.25). Lack of caregiver support for PA associated with higher BMI percentile (r = .17). No association for modelling of PA.

STUDIES MEASURING ALL THREE DOMAINS OF HOME ENVIRONMENT (n = 5)

 Rodenburg, G., et al. 2013 [78]

Cross

Netherlands

1480 (50.5%), 8–12 y

Food: Physical - Food and beverages in the home. Social - Caregiver modelling and support for healthy eating

Media: Physical – Media equipment (TV, computer) in bedroom. Social – Caregiver modelling of TV viewing. Caregiver rules around screen viewing.

PA: Physical - PA equipment at home. Social - Caregiver modelling of PA

Home Environment Survey (HES); 84 items; PR; validated.

Five composite scores created.

BMI z-scorei

Composite score: ‘Diet- and activity-related positive modelling’ (caregiver modelling of healthy eating, modelling of sedentary behaviour, caregiver snack intake and access to PA equipment) was positively associated with child BMI z-scores (B coefficient = 0.08, p < 0.05).

No association between ‘High visibility and accessibility to screens and unhealthy food’ and BMI z-scores.

 Ihmels et al. 2009 [79]

Cross

USA

854 (51.3%), 6–7 y

Food: Social - Caregiver modelling of healthy eating behaviour

Media: Physical - TV in bedroom. Social - Caregiver monitoring of TV

PA: Social - Caregiver modelling and support of PA

FNPA; 21 items; PR; validated.

BMI, BMI percentilesa

Food: Caregiver modelling of healthy eating associated with lower BMI (r = −.132).

PA: Caregiver modelling of PA associated with lower BMI (r = −.086, p < .01).

Media: TV in bedroom associated with higher BMI (r = −.156, p < .001). No association between caregiver monitoring and child BMI.

 Kim et al. 2014 [80]

Cross

South Korea

241 (47.7%), 2–5 y

Food: Social - Caregiver modelling of healthy eating

Media: Social - Caregiver modelling of media use and limit setting

PA: Social - Caregiver modelling and support for PA

ACTS; 7 items; PA and healthy eating barriers; 9 items; PR; validated.

BMIk

Food: Caregiver modelling of ‘healthy eating’ associated with higher odds of OB (OR = 1.11).

PA: No associations with weight status.

Media: Caregiver modelling of media use associated with higher odds for OB (OR = 1.01). Caregiver limit setting of media use associated with lower BMI (− 0.12, p < 0.05).

 Gubbels et al. 2011 [81]

Prosp

Netherlands

2026 (51.2%), 5–7 y

Food: Social - Caregiver support for healthy eating

Media: Social - Caregiver limit setting around electronic media use

PA: Social - Caregiver support and encouragement of child PA

Modified CFQ for food (9 items); ARPQ (9 items); PR; validated.

BMI z-scoree

Food: Caregiver support/encouragement of ‘healthy eating’ at age 5 associated with lower BMI z-scores at age 7 (B coefficient = 0.07).

PA: No association with BMI.

Media: Caregiver limits of media use at age 5 associated with higher increases in BMI from age 5 to 7 (B coefficient = 0.06).

 Schrempft et al. 2015 [82]

Cross

UK

1096 (49%), 4 y

Food: Physical – Food and beverages in the home.

Social - Caregiver modelling of eating

Media: Physical – Media equipment in home and bedroom. Social– Caregiver modelling and limit setting.

PA: Physical – PA equipment at home. Social - Caregiver modelling/support of PA

HEI; 32 constructs; CATI PR; validated.

BMI z-scorec

Food: No association with BMI.

Media: No association with BMI.

PA: No association with BMI.

Overall obesogenic risk: No association with BM.

  1. Footnotes:
  2. NB: The measure used examines non-HE related aspects. Only some items from the named measure are relevant to the HE domains examined in this review. Therefore, only the number of items from the measure that were utilised are listed.
  3. aCentre for Disease Control and Prevention (CDC, 2000) Growth Reference Charts;
  4. bWorld Health Organisation (WHO) 2007 Child Growth Reference values
  5. cUK Growth Reference 1990
  6. dInternational Obesity Task Force (IOTF);
  7. eWHO Growth reference (2006)
  8. fINMU Thai Growth program as weight for height (WFH)
  9. gAsian Population Criteria
  10. hWHO Anthro-Plus (2009)
  11. iDutch population in 1997
  12. jChild Growth Foundation 1996
  13. kNot provided
  14. lNational Centre for Health Statistics
  15. mNHANES I
  16. nCapaldi, DM.; Pears, KC.; Wilson, J.; Bruckner, L. Parent Interview. Unpublished instrument. Oregon Social Learning Center; Eugene: 1998
  17. o7 European countries are Belgium, Greece, Hungary, Holland, Norway, Spain, Slovenia
  18. pThe FNPA was used to create a composite score of the home “family obesogenic environment” which was associated with lower BMI z-score (β = − 0.069 (0.032), p < 0.05). However this score incorporated several aspects of family life outside the scope of this review. Therefore only the findings relevant to the current review are presented here
  19. qHealth Promotion Administration, Ministry of Health and Welfare (2013)
  20. Abbreviations: N cohort size, SES Socioeconomic status, HE Home environment, OW Overweight, OB Obese, BMI Body mass index, WHtR Waist to height ratio, PA Physical activity, NS Not stated, Q Questionnaire, WC Weight circumference, SSBs Sugar sweetened beverages, OR Odds ratio, TV Television, HOME-SF Home observation for measurement of the environment short form, CATI Computer-assisted telephone interviewing, ENERGY EuropeaN Energy balance research to prevent excessive weight gain among youth project, SPEEDY Sport, physical activity and eating behaviour: environmental determinants in young people, ISCOLE International study of childhood obesity, lifestyle and the environment, HNEQ Home & Neighbourhood Environment Questionnaire, GECKO Groningen expert center for kids with obesity, HomeSTEAD Home self-administered tool for environmental assessment of activity & diet family food practices survey, DASH Determinants of adolescents’ social well-being and health, COOL Controlling overweight and obesity for life, SQUASH Short questionnaire to assess health enhancing physical activity, NIK Neighbourhood impact on kids; project EAT-III (eating and activity in teens and young adults)-III questionnaire, FEAHQ Family eating and activity habits questionnaire, PARM Parental modelling of eating behaviour scale, ACTS Activity support scale for multiple groups, HEI Home environment interview, EMS Encouragement and modelling scale, ARPQ Activity related parenting questionnaire, CAFPP Comprehensive assessment of food parenting practices, HEES Home electronic equipment scale, LRBQ Lifestyle-related behaviour questionnaire, ASAQ Adolescent sedentary activity questionnaire, FAQ Food availability questionnaire, FHBS Family health behaviour scale, AWQ Active where parent-child questionnaire, ARPQ Activity related parenting questionnaire, FNPA Family Nutrition & Physical Activity screening tool, FMTS Food modelling telephone survey