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Prevalence and associations between food insecurity and overweight/obesity among native Hawaiian and Pacific Islander adolescents

Published online by Cambridge University Press:  18 April 2023

Christopher R Long*
Affiliation:
University of Arkansas for Medical Sciences Northwest, College of Medicine, Fayetteville, AR 72703, USA
Marie-Rachelle Narcisse
Affiliation:
University of Arkansas for Medical Sciences Northwest, College of Medicine, Fayetteville, AR 72703, USA
James P Selig
Affiliation:
University of Arkansas for Medical Sciences Northwest, Fay W. Boozman College of Public Health, Fayetteville, AR, USA
Don E Willis
Affiliation:
University of Arkansas for Medical Sciences Northwest, College of Medicine, Fayetteville, AR 72703, USA
Matthew Gannon
Affiliation:
University of Arkansas for Medical Sciences Northwest, Office of Community Health and Research, Fayetteville, AR, USA
Brett Rowland
Affiliation:
University of Arkansas for Medical Sciences Northwest, Office of Community Health and Research, Fayetteville, AR, USA
Emily S English
Affiliation:
University of Arkansas for Medical Sciences Northwest, College of Medicine, Fayetteville, AR 72703, USA
Pearl A McElfish
Affiliation:
University of Arkansas for Medical Sciences Northwest, College of Medicine, Fayetteville, AR 72703, USA
*
*Corresponding author: Email [email protected]
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Abstract

Objective:

This study estimates the prevalence of, and associations between, family food insecurity and overweight/obesity among Native Hawaiian and Pacific Islander (NHPI) adolescents and explores socio-demographic factors which might have a moderation effect on the association.

Design:

Cross-sectional study using 2014 NHPI-National Health Interview Survey data reported by a parent or guardian. Family-level food security was assessed by the US Department of Agriculture 10-item questionnaire. BMI for age and sex ≥ 85th and 95th percentiles defined overweight and obesity, respectively, according to US Centers for Disease Control and Prevention criteria.

Setting:

The USA, including all 50 states and the District of Columbia.

Participants:

383 NHPI adolescents aged 12–17 in the USA.

Results:

A third (33·5 %) of NHPI adolescents aged 12–17 were overweight (19·1 %) or obese (14·4 %); 8·1 % had low food security; and 8·5 % had very low food security. Mean family food security score was 1·06, which corresponds to marginal food security. We found no association between family food insecurity and adolescent overweight/obesity or between any other covariates and overweight/obesity, except for family Supplemental Nutrition Assistance Program (SNAP) participation. Odds of being overweight/obese were 77 % lower for adolescents in families participating in SNAP (OR: 0·23, 95 % CI: 0·08, 0·64, P = 0·007). The association between SNAP participation and lower odds of overweight/obesity was particularly pronounced for adolescent girls in food-insecure families.

Conclusions:

The association between SNAP participation and lower odds of overweight/obesity suggests potential benefit of research to determine whether interventions to increase SNAP enrollment would improve NHPI adolescents’ health outcomes.

Type
Short Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

Native Hawaiian and Pacific Islander (NHPI) families in the USA experience a high prevalence of household food insecurity relative to the overall USA(Reference Long, Rowland and McElfish1). The most recent US estimates for NHPI family food insecurity were from 2014, when 20·5 % of NHPI families were food insecure, compared to 10·6 % of all US families(Reference Long, Rowland and McElfish1). This disparity is particularly important, because NHPI adults also experience disparities related to nutrition-related chronic disease, including elevated prevalence of type 2 diabetes and obesity(Reference McElfish, Rowland and Long2Reference Aluli, Jones and Reyes6).

Minority groups including Hispanic and African American populations have documented high prevalence of household food insecurity(Reference Coleman-Jensen, Rabbitt and Gregory7) and obesity among adolescents(Reference Guerrero, Mao and Fuller8Reference Ogden, Carroll and Lawman12). However, prior studies have not estimated prevalence of food insecurity and obesity among NHPI adolescents using representative national data. Limited research with NHPI adolescents has suggested they experience a high prevalence of food insecurity relative to other racial and ethnic groups, although that study was conducted with adolescents from Marshallese migrant families who at the time were mostly ineligible for Supplemental Nutrition Assistance Program (SNAP) benefits(Reference Willis and Fitzpatrick13).

Studies of associations between food insecurity and adolescent overweight/obesity have yielded inconsistent findings. Although some studies have demonstrated associations between food insecurity and overweight/obesity among adolescents(Reference Casey, Simpson and Gossett14), the association is often NS after adjusting for confounding factors(Reference Fleming, Kane and Meneveau15), and reviews incorporating multiple studies have shown differing results. Not all studies demonstrated the association between food insecurity and overweight/obesity(Reference Larson and Story16Reference Nguyen, Ford and Yaroch18).

Factors like being a girl v. a boy, family SNAP participation and race and ethnicity may influence the relationship between food insecurity and adolescent overweight/obesity. Among adult women, existing research consistently demonstrates associations between food insecurity and overweight/obesity; however, results are mixed for adolescents and adult men(Reference Larson and Story16,Reference Franklin, Jones and Love17) . Studies have shown household participation in SNAP, a US government programme to mitigate food insecurity for lower-income families to purchase food, can reduce the probability of overweight/obesity for children and adolescents(Reference Schmeiser19,Reference Burgstahler, Gundersen and Garasky20) . Other studies have found evidence for an association between food insecurity and adolescent overweight/obesity among specific racial and ethnic minority groups (e.g. Hispanic or Latino individuals)(Reference Bhattacharya, Currie and Haider21). The present study seeks to fill a gap in evidence. Prior studies have not (1) estimated the rates of food insecurity and overweight/obesity among NHPI adolescents using representative national data, (2) explored the association between food insecurity and overweight/obesity among NHPI adolescents using representative national data and (3) shown effects of interactions between SNAP participation and sex or food insecurity on adolescent overweight/obesity, despite findings among adults differing between women v. men(Reference Larson and Story16,Reference Franklin, Jones and Love17) and despite calls for further research on this topic(Reference Nguyen, Ford and Yaroch18).

Objectives

Using a nationally representative sample, this study’s objectives were to (1) estimate the prevalence of family food insecurity and overweight/obesity among NHPI adolescents aged 12–17 years living in the USA, (2) examine the association between family food insecurity and overweight/obesity among NHPI adolescents living in the USA and (3) explore possible factors (e.g. whether the adolescent is a girl v. a boy and whether the family participates in SNAP) which might have a moderation effect on the association between family food insecurity and adolescents’ overweight/obesity.

For our second objective, we hypothesised NHPI adolescents who experience family food insecurity were more likely to be overweight/obese. We hypothesised this association would differ between girls and boys, with a stronger association among girls than boys because this association has been found among adults(Reference Larson and Story16,Reference Franklin, Jones and Love17) . Our third objective was exploratory; we did not posit an a priori hypothesis.

Methods

Data source and study population

This cross-sectional study on NHPI adolescents aged 12–17 years used data from the 2014 NHPI-National Health Interview Survey (NHIS)(22,23) . In 2014, the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Prevention (CDC) launched the first NHIS focused exclusively on NHPI. Children in the sample were NHPI only or NHPI in combination with one or more other races. The questionnaire was administered to NHPI adults randomly selected from households samples from all fifty US states. A parent or guardian responded to questions about the NHPI child and the family. The surveys’ sampling procedures were designed to be representative of noninstitutionalised civilian adults and children living in the USA. The analytic dataset comprised the sample’s child-level, respondent-level and family-level data files. A detailed description of the NHPI-NHIS and NHIS can be found elsewhere(22).

From February 2014 to November 2014, 479 adolescents aged 12–17 years were randomly selected. The survey’s final analytic file comprised 404 NHPI adolescents as information on seventy-five children was either not available(24) or unknown(Reference Ogden, Carroll and Lawman12). Missing family income data reduced the present study’s analytic sample for regression analysis to 383. This study was ruled exempt as not human subject research by the [blinded for peer review] Institutional Review Board (IRB #206 591).

Measures

Overweight/obesity is the dependent variable. The child’s weight in pounds and height in inches were reported by a parent or guardian and then converted to kilograms and meters, respectively. The weight status of children aged 12–17 years was determined using an age- and sex-specific percentile for BMI, where BMI = weight (kg)/[height (m)]2(Reference Eknoyan25,Reference Garrow and Webster26) . In the NHPI-NHIS, weight status was coded into four categories: underweight, normal weight, overweight and obese. Overweight/obesity was defined according to the US CDC’s BMI-for-age definition(Reference Kuczmarski, Ogden and Grummer-Strawn27). Overweight = BMI ≥ 85th and < 95th percentiles for children of the same age and sex. Obesity = BMI ≥ 95th percentile for children of the same age and sex.

Underweight (n 9) and normal weight (n 267) categories were recoded as non-overweight/non-obese whereas overweight (n 70) and obese (n 58) categories were recoded as overweight/obese as done in previous studies(Reference Trapp, Burke and Gorin28).

Family food insecurity is the independent variable of interest. Food insecurity was assessed at the family level based on responses from an adult household member. The NHPI-NHIS measured this variable using the US Department of Agriculture’s (USDA) 10-item Adult Food Security Survey Module modified to assess food insecurity in the past 30 d(29Reference Bickel, Nord and Price31). Following procedures used by US National Center for Health Statistics and USDA(30,Reference Bickel, Nord and Price31) , answers of ‘Often true,’ ‘Sometimes true’ and ‘Yes’ were considered affirmative responses(29). For the two items assessing the frequency of occurrence of food insecurity in the past 30 d, responses were considered affirmative if the respondent’s answer was greater than or equal to 3 d. A score (0–10) was created to represent the number of affirmative responses to the food insecurity items. For descriptive analyses, the following categories were used as follows: high food security (score = 0); marginal food security (score = 1–2); low food security (score = 3–5) and very low food security (score = 6–10)(30,Reference Bickel, Nord and Price31) . For regression analyses, food insecurity was treated as a continuous variable.

Covariates

Additional variables included in the analysis were: age in years (continuous), sex, NHPI race (NHPI as primary race v. multiracial including NHPI), family structure (parents are married v. not), family income relative to federal poverty level (FPL) (FPL; < 100 % or ≥ 100 % of the FPL, based on poverty threshold estimates from 2013)(30), educational level of the adult with the highest education in the family (≤ High school diploma/GED and > High school diploma/GED), number of children and adults in the house, family’s home ownership status (own a house or have a mortgage v. not) and family SNAP participation (any family member received SNAP benefits in the last calendar year v. not).

Statistical analysis

The data collected in the NHPI-NHIS were obtained through a complex, multistage sample design that involves stratification and clustering. Descriptive and regression analyses were weighted based on NHPI-NHIS complex design sampling (sampling weight [wtfa_sc], stratification and primary sampling units)(32). Regression analysis was based on a complete case analysis (n 383 due to 5·2 % missing data for the income variable). Statistical significance was determined at α = 0·05. STATA se 16 was used for all statistical analyses(33).

Descriptive analysis

For categorical and continuous variables, weighted percentages with corresponding 95 % CI and weighted means with corresponding 95 % CI were computed.

Regression analysis

We used multiple logistic regression to examine the association between family food insecurity and overweight/obesity controlling for the effect of the other covariates. For the second objective and hypothesis, we included an interaction term (food insecurity × sex) in the model to capture the effect of sex. For the third objective’s exploratory analysis, we examined whether family SNAP participation would moderate the association between food insecurity and overweight/obesity by sex by adding a three-way interaction term (food insecurity × sex × SNAP) in the model.

Variance inflator indicator was computed to examine multicollinearity among independent variables. The variance inflation factor (VIF) obtained for the independent variables ranged from 1·08 to 1·51, with a mean VIF of 1·24, indicating acceptable levels of multicollinearity.

Results

Descriptive analysis

Table 1 presents descriptive statistics for the analytic sample (n 383), of which 47·1 % were girls and 52·9 % were boys. The mean age was 14·54 (95 % CI: 14·29, 14·79). Approximately a quarter (24·9 %) of the adolescents lived in families participating in SNAP, and 69·8 % of adolescents lived with parents whose highest level of education was a high school diploma or lower. The mean number of children and adults per household was 2·58 (95 % CI: 2·46, 2·71) and 2·75 (95 % CI: 2·56, 2·94), respectively.

Table 1 Descriptive statistics for NHPI adolescents and their Families living in the USA (n 383)

NHPI = Native Hawaiian or Pacific Islander. SNAP = Supplemental Nutrition Assistance Program; FPL = federal poverty level.

Data source: National Center for Health Statistics, 2014 NHPI NHIS.

A third (33·5 %) of NHPI adolescents aged 12–17 years were overweight (19·1 %) or obese (14·4 %); 8·1 % lived in families with low food security; and 8·5 % lived in families with very low food security. The mean family food security score was 1·06 (95 % CI: 0·74, 1·39), which corresponds to marginal food security.

Regression analysis

Multiple logistic regression did not show a statistically significant association between family food insecurity and adolescent overweight/obesity. No associations were found between any other covariates and overweight/obesity, except for family SNAP participation (Table 2, Model 1). Odds of being overweight/obese were 77 % lower for adolescents in families participating in SNAP (OR: 0·23, 95 % CI: 0·08, 0·64, P = 0·007). The two-way interaction between food insecurity × sex was not statistically significant. However, when testing this interaction, family SNAP participation continued to be associated with reduced odds of overweight/obesity (OR: 0·22, 95 % CI: 0·08, 0·66, P = 0·009) (Table 2, Model 2).

Table 2 NHPI adolescent and family characteristics predicting adolescent overweight/obesity, results of three logistic regression models (n 383)

NHPI = Native Hawaiian or Pacific Islander; SNAP = Supplemental Nutrition Assistance Program; Family Poverty = family income < 100 % federal poverty level (FPL), based on poverty threshold estimates from 2013. Dashes indicate variables that were not included in a model.

Data source: National Center for Health Statistics, 2014 NHPI-NHIS.

The three-way interaction (food insecurity × sex × SNAP) exploring whether family SNAP participation would moderate the interactive effect of sex and food insecurity on overweight/obesity is presented in Table 2, Model 3. The estimate of the three-way interaction term was significant (P = 0·002). To facilitate the interpretation of the interaction, marginal effects and plotted interactions are presented on a probability scale. For girls in SNAP families, food insecurity was negatively associated with overweight obesity. For boys in SNAP families, food insecurity was associated with overweight/obesity. For girls in families not participating in SNAP, food insecurity was associated with overweight/obesity. For boys in families not participating in SNAP, food insecurity was negatively associated with overweight/obesity (Fig. 1).

Fig. 1 Association between Food insecurity and overweight/obesity by adolescent sex and household SNAP participation (n 383)

Discussion

Among this nationally representative sample of NHPI families with adolescents, 16·6 % lived in families with low or very low food security, and 33·5 % of adolescents were overweight/obese. These findings show a higher prevalence of food insecurity than for US households with children overall (14·8 %)(Reference Coleman-Jensen, Rabbitt and Gregory7) and a higher prevalence of obesity than is estimated for the general population of US adolescents of similar age range (21·2 %)(Reference Fryar, Caroll and Afful34). The present study’s estimate of food insecurity (16·6 %) among NHPI families with adolescents is lower than estimates of food insecurity (20·5 %) across all NHPI households(Reference Long, Rowland and McElfish1). This finding is unexpected and not readily explained, given higher prevalence of food insecurity among US households with children than without children(Reference Coleman-Jensen, Rabbitt and Gregory7).

The present study provides no evidence that family food insecurity was related to overweight/obesity among NHPI adolescents. We found no association between family food insecurity and adolescent overweight/obesity, and there was no difference between girls and boys in the relationship between family food insecurity and adolescent overweight/obesity. These null findings align with studies and systematic reviews documenting inconsistent and null associations between food insecurity and overweight/obesity among adolescents(Reference Larson and Story16Reference Nguyen, Ford and Yaroch18). In contrast, one study showed an association between self-reported food insecurity and higher incidence of obesity among Hispanic adolescents(Reference Bhattacharya, Currie and Haider21).

The present study provides evidence that family SNAP participation was related to lower probability of overweight/obesity for NHPI adolescents. NHPI adolescents from families participating in SNAP were less likely to be overweight/obese than those from families not participating in SNAP. This finding has not previously been documented among NHPI adolescents. Previous analysis of national(Reference Schmeiser19) and regional(Reference Burgstahler, Gundersen and Garasky20) samples including multiple races and ethnicities have shown reductions in the probability of overweight/obesity for children and adolescents in homes participating in SNAP(Reference Schmeiser19,Reference Burgstahler, Gundersen and Garasky20) and shown associations between SNAP participation and better health outcomes in general(Reference Bartfeld, Gundersen and Ti35). SNAP provides increased household purchasing power for food, so this finding aligns with research showing an inverse relationship between obesity and income for adult women and for boys and girls under 18(Reference Bartfeld, Gundersen and Ti35).

Exploratory analyses showed the association between SNAP participation and lower odds of overweight/obesity was particularly pronounced for adolescent girls living within food-insecure families. To our knowledge, this interaction among food insecurity, sex and SNAP participation has not previously been documented for NHPI adolescents or for adolescents more generally. A study using data from 1979 showed SNAP participation significantly reduced the probability of being overweight or obese for adolescents boys but did not affect the probability of being overweight or obese for adolescent girls(Reference Schmeiser19). However, that study did not include food insecurity as a variable. Future research is needed among NHPI adolescents—and potentially among US adolescents in general—to examine whether the present study’s exploratory finding replicates. The present study’s exploratory analysis was not based on a priori effect size estimates that would allow for a formal power analysis and accompanying sample size justification. Interaction effects can be small and difficult to detect, and interaction effects can be challenging to replicate in future analyses. The statistical significance of the three-way interaction term in the moderation model should be interpreted through the lens of exploratory post hoc analysis, i.e. an additional contribution at the data analysis stage based on information provided by the current research findings but with uncertainties around the extent to which it might replicate in other samples(Reference Rubin and Donkin36). If the finding replicates, future research will be needed to investigate mechanisms for why the effects of family SNAP participation on overweight/obesity might differ between adolescent boys and girls.

A primary limitation of this study is that it relies upon cross-sectional, family-member respondent-reported data for food insecurity, height, weight and SNAP participation. This limitation is shared among many survey studies, including the annual Household Food Security in the United States report(Reference Coleman-Jensen, Rabbitt and Gregory7). Following a sample of households over time, documenting key variables (e.g. height, weight and SNAP participation) through more objective methods, or aligning the reference periods for the SNAP participation measure (calendar year) and food insecurity measure (past 30 d) may yield different findings than the present study. A second limitation is that the NHPI-NHIS data are from 2014. However, there is no other nationally representative survey that samples enough NHPI adolescents to characterise the key variables used in this study. A third limitation is that this study uses the term sex to describe the NHIS variable for which respondents identified whether an adolescent was male or female. This approach oversimplifies the complex effects of sex, gender and the interaction between sex and gender on adolescents’ BMI. It is also probable that some respondents interpreted the NHIS question about sex as being about the adolescent’s gender.

Implications for public health

This study addresses an important gap in the literature by estimating the prevalence of food insecurity and adolescent overweight/obesity among a nationally representative sample of NHPI families with adolescents. These estimates will be of use to NHPI communities and their advocates working to address food insecurity and nutrition-related chronic disease disparities in the context of systematic data reporting gaps for NHPI health data in the USA(Reference Morey, Chang and Thomas37,Reference Bacong, Holub and Porotesano38) . This study contributes a novel finding that NHPI adolescents from families participating in SNAP were less likely to be classified as overweight/obese compared with those from families not participating in SNAP. Research is needed to determine the extent to which SNAP-eligible NHPI families are enrolling in SNAP and whether interventions to increase enrollment would improve NHPI adolescents’ health outcomes.

Acknowledgements

Financial support: Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health (NIH) (#5P20GM109096). Additional support was provided by a University of Arkansas for Medical Sciences Translational Research Institute grant from the National Center for Advancing Translational Sciences of the NIH (#UL1TR003107). The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Authorship: Christopher R. Long – conceptualisation; methodology; writing – original draft. Marie-Rachelle Narcisse – conceptualisation; methodology; formal analysis; writing – original draft. James P. Selig – conceptualisation; methodology; writing – review and editing. Don E. Willis – conceptualisation; writing – review & editing. Matthew Gannon – validation; writing – review and editing. Brett Rowland – validation; writing – review & editing. Emily S. English – writing – review and editing. Pearl A. McElfish – conceptualisation; writing – review and editing. Ethics of human subject participation: This study received an exemption from the University of Arkansas for Medical Sciences Institutional Review Board because data were public and deidentified.

Conflict of Interest:

There are no conflicts of interest.

References

Long, CR, Rowland, B, McElfish, PA et al. (2020) Food security status of native Hawaiians and Pacific Islanders in the US: analysis of a National Survey. J Nutr Educ Behav 52, 788795.CrossRefGoogle ScholarPubMed
McElfish, P, Rowland, B, Long, C et al. (2017) Diabetes and hypertension in Marshallese adults: results from faith-based health screenings. J Racial Ethn Health Disparities 4, 10421050.CrossRefGoogle ScholarPubMed
Galinsky, A, Zelaya, C, Simile, C et al. (2017) Health Conditions and Behaviors of Native Hawaiian and Pacific Islander Persons in the United States, 2014, vol. 3. Hyattsville, MD: U.S. Department of Health and Human Services.Google Scholar
Karter, AJ, Schillinger, D, Adams, AS et al. (2013) Elevated rates of diabetes in Pacific Islanders and Asian subgroups The Diabetes Study of Northern California (DISTANCE). Diabetes Care 36, 574579.CrossRefGoogle ScholarPubMed
Panapasa, SV, McNally, JW, Heeringa, SG et al. (2015) Impacts of long-term obesity on the health status of Samoan and Tongan men in the United States: results from the Pacific Islander Health Study. Ethn Dis 25, 279286.CrossRefGoogle ScholarPubMed
Aluli, N, Jones, K, Reyes, P et al. (2009) Diabetes and cardiovascular risk factors in Native Hawaiians. Hawaii Med J 68, 152157.Google ScholarPubMed
Coleman-Jensen, A, Rabbitt, MP, Gregory, CA et al. (2021) Household Food Security in the United States in 2020. https://www.ers.usda.gov/publications/pub-details/?pubid=102075 (accessed September 2021).Google Scholar
Guerrero, AD, Mao, C, Fuller, B et al. (2016) Racial and ethnic disparities in early childhood obesity: growth trajectories in Body Mass Index. J Racial Ethn Health Disparities 3, 129137.CrossRefGoogle ScholarPubMed
Isong, IA, Rao, SR, Bind, MA et al. (2018) Racial and ethnic disparities in early childhood obesity. Pediatrics 141, e20170865.10.1542/peds.2017-0865CrossRefGoogle ScholarPubMed
Hernandez, DC, Reesor, LM & Murillo, R (2017) Food insecurity and adult overweight/obesity: gender and race/ethnic disparities. Appetite 117, 373378.10.1016/j.appet.2017.07.010CrossRefGoogle ScholarPubMed
Hales, CM, Carroll, MD, Fryar, CD et al. (2016) Prevalence of obesity among adults and youth: United States, 2015–2016. NCHS Data Brief 288, 18.Google Scholar
Ogden, CL, Carroll, MD, Lawman, HG et al. (2016) Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. JAMA 315, 22922299.CrossRefGoogle ScholarPubMed
Willis, DE & Fitzpatrick, KM (2020) Adolescent food insecurity: the special case of Marshallese youth in north-west Arkansas, USA. Public Health Nutr 23, 544553.CrossRefGoogle ScholarPubMed
Casey, PH, Simpson, PM, Gossett, JM et al. (2006) The association of child and household food insecurity with childhood overweight status. Pediatrics 118, e14061413.10.1542/peds.2006-0097CrossRefGoogle ScholarPubMed
Fleming, MA, Kane, WJ, Meneveau, MO et al. (2021) Food insecurity and obesity in US adolescents: a population-based analysis. Childhood Obes 17, 110115.CrossRefGoogle ScholarPubMed
Larson, NI & Story, MT (2011) Food insecurity and weight status among US children and families: a review of the literature. Am J Prev Med 40, 166173.CrossRefGoogle ScholarPubMed
Franklin, B, Jones, A, Love, D et al. (2012) Exploring mediators of food insecurity and obesity: a review of recent literature. J Community Health 37, 253264.CrossRefGoogle ScholarPubMed
Nguyen, BT, Ford, CN, Yaroch, AL et al. (2017) Food security and weight status in children: interactions with food assistance programs. Am J Prev Med 52, S138S144.CrossRefGoogle ScholarPubMed
Schmeiser, MD (2012) The impact of long-term participation in the supplemental nutrition assistance program on child obesity. Health Econ 21, 386404.CrossRefGoogle ScholarPubMed
Burgstahler, R, Gundersen, C & Garasky, S (2012) The supplemental nutrition assistance program, financial stress, and childhood obesity. Agricult Resource Econ Rev 41, 2942.CrossRefGoogle Scholar
Bhattacharya, J, Currie, J & Haider, S (2004) Poverty, food insecurity, and nutritional outcomes in children and adults. J Health Econ 23, 839862.10.1016/j.jhealeco.2003.12.008CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention (2014) 2014 NHPI-NHIS, Survey Description Document. https://ftp.cdc.gov/pub/health_Statistics/NCHs/Dataset_Documentation/NHPI/2014/srvydesc.pdf (accessed September 2021).Google Scholar
National Center for Health Statistics (2017) 2014 NHPI NHIS Data Release. https://www.cdc.gov/nchs/nhis/nhpi/nhpi_2014_data_release.htm (accessed September 2021).Google Scholar
Eknoyan, G (2008) Adolphe Quetelet (1796–1874) – the average man and indices of obesity. Nephrol Dial Transplant 23, 4751.CrossRefGoogle ScholarPubMed
Garrow, JS & Webster, J (1985) Quetelet’s index (W/H2) as a measure of fatness. Int J Obes 9, 147153.Google ScholarPubMed
Kuczmarski, RJ, Ogden, CL, Grummer-Strawn, LM et al. (2000) CDC growth charts: United States. Adv Data 314, 127.Google Scholar
Trapp, C, Burke, G, Gorin, A et al. (2015) The relationship between dietary patterns, body mass index percentile, and household food security in young urban children. Child Obes 11, 148155.10.1089/chi.2014.0105CrossRefGoogle ScholarPubMed
United States Department of Agriculture (2012) U.S. Adult Food Security Survey Module: Three-Stage Design, with Screeners. Washington, DC: USDA, Economic Research Service.Google Scholar
National Center for Health Statistics (2015) Survey Description, National Health Interview Survey, 2014. ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2014/srvydesc.pdf (accessed November 2021).Google Scholar
Bickel, G, Nord, M, Price, C et al. (2000) Guide to Measuring Household Food Security, Revised 2000. Alexandria, VA: Office of Analysis, Nutrition, and Evaluation. U.S. Department of Agriculture.Google Scholar
National Center for Health Statistics (2017) Survey Description, Native Hawaiian and Pacific Islander National Health Interview Survey, 2014. Hyattsville, MD: Centers for Disease Control and Prevention, National Center for Health Statistics.Google Scholar
StataCorp LLC (2019) STATA, 16th ed. College Station, TX: StataCorp LLC.Google Scholar
Fryar, CD, Caroll, MD & Afful, J (2020) Prevalence of Overweight, Obesity, and Severe Obesity among Children and Adolescents aged 2–19 years: United States, 1963–1965 through 2017–2018. NCHS Health E-Stats. https://www.cdc.gov/nchs/data/hestat/obesity-child-17-18/obesity-child.htm (accessed September 2021).Google Scholar
Bartfeld, J, Gundersen, C, Ti, Smeeding et al. (2015) SNAP Matters: How Food Stamps Affect Health and Well-Being. Redwood City, CA: Stanford University Press.Google Scholar
Rubin, M & Donkin, C (2022) Exploratory hypothesis tests can be more compelling than confirmatory hypothesis tests. Philos Psychol 129. doi: 10.1080/09515089.2022.2113771.CrossRefGoogle Scholar
Morey, B, Chang, R, Thomas, K et al. (2022) No equity without data equity: data reporting gaps for native Hawaiians and Pacific Islanders as Structural Racism. J Health Polit Policy Law 47, 159200.CrossRefGoogle ScholarPubMed
Bacong, AM, Holub, C & Porotesano, L (2016) Comparing obesity-related health disparities among native Hawaiians/Pacific Islanders, Asians, and Whites in California: reinforcing the need for data disaggregation and operationalization. Hawaii J Med Public Health 75, 337344.Google ScholarPubMed
Figure 0

Table 1 Descriptive statistics for NHPI adolescents and their Families living in the USA (n 383)

Figure 1

Table 2 NHPI adolescent and family characteristics predicting adolescent overweight/obesity, results of three logistic regression models (n 383)

Figure 2

Fig. 1 Association between Food insecurity and overweight/obesity by adolescent sex and household SNAP participation (n 383)