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Food Insecurity, telomere length and the potential modifying effects of social support in National Health and Nutrition Examination Survey

Published online by Cambridge University Press:  22 September 2023

Sarah M Lima Open the ORCID record for Sarah M Lima [Opens in a new window] ,
Xuefeng Ren ,
Lina Mu ,
Heather M Ochs-Balcom  and
Tia Palermo
Sarah M Lima
Affiliation:
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA
Xuefeng Ren
Affiliation:
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA
Lina Mu
Affiliation:
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA
Heather M Ochs-Balcom
Affiliation:
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA
Tia Palermo*
Affiliation:
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA
*
*Corresponding author: Email tiapaler@buffalo.edu
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Abstract

Objective:

Telomere length (TL) is a posited pathway through which chronic stress results in biological dysregulation and subsequent adverse health outcomes. Food insecurity is associated with shorter TL. Social support, which is defined by the size and function of an individual’s social network, is associated with better health outcomes. The present study assesses whether social support modifies the relationship between food security and TL.

Design:

Cross-sectional study design. Linear regression was used to assess the association between food insecurity and TL, stratified by social support level. A multiplicative interacted model was used to formally test modification.

Setting:

Data come from the National Health and Nutrition Examination Survey 1999–2000 and 2001–2002 waves.

Participants:

Adults aged 60 years and older who have measurements for TL.

Results:

Our sample comprised 2674 participants, and 63·5 % of the total sample had low social support, with 13·3 % being food insecure. In fully adjusted models, food insecurity was negatively though modestly associated (P = 0·13) with TL. Associations between food insecurity and TL were significantly modified by social support (interaction P = 0·026), whereby food insecurity had a stronger effect among individuals with high social support (coefficient = –0·099 (95 % CI: –0·161, –0·038)) compared to low social support (coefficient = –0·001, (95 % CI: –0·033, 0·032)).

Conclusion:

Food insecurity is modestly associated with shorter TL. Contrary to our hypothesis, food insecurity had more deleterious effects on TL among participants with high social support than low social support. Results may indicate that the food insecure population is a higher needs population, and increased social support reflects these needs rather than providing protective effects.

Keywords

Telomere lengthFood insecuritySocial supportNational Health and Nutrition Examination Survey

Information

Type
Research Paper
Information
Public Health Nutrition , Volume 26 , Issue 12 , December 2023 , pp. 3005 - 3012
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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 (https://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

Telomeres are caps of nucleotide repeats at the ends of chromosomes that ensure genetic integrity during mitosis(Reference Aly and Domènech1,Reference Meier, Hussein and Needham2) . Telomeres naturally shorten through the lifespan as a result of cellular division and incomplete replication; thus, telomere length (TL) is a marker of biological age and ultimately long-term health(Reference Starkweather, Alhaeeri and Montpetit3). Prior research has identified shorter TL to be associated with a range of health outcomes, including mortality, CVD, cancer progression, diabetes and obesity(Reference Haycock, Heydon and Kaptoge4–Reference Zhao, Miao and Wang7). Along with ageing, exposure to external stress (physical and psychosocial stressors) can further accelerate telomere shortening through senescence-signalling pathways(Reference Aviv8). As such, TL is hypothesised to be a biomarker of chronic stress that causes downstream biological dysregulation and illness and thus may be a mediator of health outcomes(Reference Meier, Hussein and Needham2,Reference Aviv8,Reference Tyrka, Price and Kao9) .

Socioeconomic status is associated with TL. Low socioeconomic status has been linked to shorter TL in adults, children and at the neighbourhood level(Reference Mitchell, Kowalsky and Epel10–Reference Alexeeff, Schaefer and Kvale12). Notably, in a recent prospective cohort study, parental socioeconomic status was positively associated with TL in newborns(Reference Martens, Janssen and Bijnens13). A systematic review of chronic social stress and TL found evidence that poverty-related stressors may induce telomere shortening(Reference Oliveira, Zunzunegui and Quinlan14). It has been hypothesised chronic social stress leads to inflammation and oxidative stress and in turn causes DNA damage and telomere shortening(Reference Tyrka, Price and Kao9,Reference Geronimus, Hicken and Pearson15) . Food insecurity, which is defined as an individual or household having an insufficient supply or access to safe and nutritious food needed for normal growth and to maintain a healthy life(Reference Moncayo and Cafiero16), is linked to higher stress and is considered a chronic stressor(Reference Coleman-Jensen, Rabbitt and Gregory17–Reference Yang and Matthews19). In line with findings from other socioeconomic factors, food insecurity was recently found to be negatively associated with TL in a US representative sample(Reference Mazidi, Kengne and Vatanparast20).

While chronic stress has adverse health consequences, evidence suggests social support is protective against chronic stress(Reference Ozbay, Johnson and Dimoulas21). Social support is defined by two dimensions: (1) social structure, including network size and frequency of interactions, and (2) functional support, including emotional, financial and assistive support(Reference Charney22). As social support mitigates effects of chronic stress(Reference Cohen and Wills23–Reference Taylor and Friedman25), it follows that increasing levels of social support may be protective of TL. In fact, loneliness and low social support was found to predict shorter TL(Reference Stein, Levin and Lahav26). Similar results were found at the neighbourhood level; individuals living in neighbourhoods with high social cohesion had longer TL than individuals in low social cohesion neighbourhoods(Reference Needham, Carroll and Diez Roux27). Finally, another National Health and Nutrition Examination Survey (NHANES) study found that spousal support is related to TL, where unmarried participants had shorter TL after adjusting for other sources of social support, sociodemographic factors and comorbidities(Reference Barger and Cribbet28).

Despite a growing body of literature indicating adverse effects of poverty on TL and protective effects from social support, there are no studies to our knowledge investigating whether social support mitigates effects of poverty or food insecurity on TL. In this paper, we assess social support as an effect modifier of food insecurity on TL (T/S ratio) using NHANES data. We hypothesise that high social support is positively associated with TL among food insecure individuals.

Methods

Data source

Data come from the NHANES, which is conducted by the US National Center for Health Statistics(29,30) . The NHANES is designed to assess the health and nutritional status of the US population, combining interviews and physical examinations. NHANES is a cross-sectional survey that uses multistage probability sampling design for a nationally representative sample. Data are collected over two-year periods through survey interviews and examinations by medical personnel. We merged 1999–2002 NHANES data on TL (available among a sub-sample of respondents aged 20 years and older between 1999–2002), food security (available for full sample), social support (available for respondents aged 60 years and older) and participant demographics (available for all respondents). Our sub-sample for analysis corresponds to the years and age range with available data on all of these modules of interest (e.g. adults aged 60 and older in the 1999–2002 surveys). Figure 1 depicts the sample selection flow chart. Given data are de-identified and publicly available, this study was exempt from IRB review.

Fig. 1

NHANES sample selection flow chart

Measures

Telomere assays have been described in detail previously(Reference Needham, Adler and Gregorich31). Leucocyte TL measurements were obtained for two NHANES cycles using PCR method to measure TL relative to standard reference DNA (T/S ratio). We log-transformed the T/S ratio for a normally distributed TL variable.

One adult member per household was asked about food security over the past 12 months. Food security is categorised by NHANES as ‘food secure’, ‘marginally food secure’, ‘food insecure without hunger’, ‘food insecure with hunger’. For this study, we combined ‘food secure’ with ‘marginally food secure’, and ‘food insecure without hunger’ with ‘food insecure with hunger’ for a binary food security variable (secure v. insecure). We conducted sensitivity analyses to assess different combinations of food security.

NHANES social support questions were pulled from the Yale Health and Aging Study and Social Network Index – Alameda County Study(29,30) . Consistent with prior research on social support in NHANES(Reference Barger and Cribbet28,Reference Rees, Karter and Young32,Reference Ashe and Lapane33) , we created a social support index comprised of four questions that were each assigned one point if answered in the affirmative: marital status (married, not married); can count on someone to provide emotional support (yes, no); has someone they can count on if they need some extra help financially (yes, no); and having more than five friends (yes, no). The social support index ranged from zero to four and was dichotomised, with a score of three or higher defined as high social support.

Statistical analysis

We assessed means of demographic characteristics among the full sample and then stratified by food insecurity (food secure v. food insecure). To test whether demographic characteristics differed by food security status, we conducted bivariate analyses using t test and chi-square tests. A kernel density plot was used to assess the distribution of mean TL by social support. We used linear regression models to assess associations between food security, social support and log-transformed TL. In our base model, we regressed logged TL onto food insecurity, social support and covariates. Our covariates included age (continuous), female sex, self-reported race/ethnicity (non-Hispanic White (reference), non-Hispanic Black, Hispanic, other), educational attainment (range: < 9th grade to ≥ college graduate) and BMI (as calculated by NHANES using height and weight measurements). Race-ethnicity was intentionally included in statistical analyses as a potential confounder of the relationship between food insecurity and TL based on the following criteria: (1) the prevalence of food insecurity is 2–3 times greater in Hispanic and non-Hispanic Black households compared to non-Hispanic White households(Reference Coleman-Jensen, Rabbitt and Gregory34), (2) average TL differs according race-ethnicity and is hypothesised to be a potential mechanism by which racial discrimination results in adverse health outcomes(Reference Diez Roux, Ranjit and Jenny35), and (3) we do not have reason to believe race-ethnicity would be an intermediary of the causal pathway between food insecurity and TL.

To assess whether social support modifies the association between food insecurity and TL, we ran an interacted model using a cross-product term between food insecurity and social support. We then stratified our models by food insecurity to evaluate the direction and strength of modification by social support.

For sensitivity analyses, we ran our base model and interaction model stratified by median age (70 years) and ran a model adjusted for smoking status (categorised as never (reference), former, current). While NHANES is nationally representative, our sub-sample for analysis is not; it is limited by data availability, including observations with information on TL and social support (both are sub-samples of the overall dataset). Our goal in this analysis is not to describe nationally representative estimates, but rather to examine a relationship between characteristics. Thus, we do not use sampling weights in this analysis(Reference Solon, Haider and Wooldridge36). All analyses were performed using STATA SE 17.0.

Results

Our sample for analysis included 2674 participants (Table 1). The average age was 71·5 years, 49·1 % of the total sample was female, the majority was non-Hispanic White (58·3 %), and 63·5 % of the total sample was categorised as having low social support. Of the 2674 total participants, 356 (13·3 %) were food insecure. Food insecurity status differed with respect to age, race/ethnicity, educational attainment, BMI, income, marital status and social support (P < 0·05). TL did not significantly differ by food insecurity status; however, TL significantly differed according to social support level (P = 0·07), such that the high social support group had longer TL (Fig. 2).

Table 1

Demographic descriptive statistics

Quantitative variables by social support: independent t test. Qualitative variables by social support: chi-square.

Fig. 2

Distribution of telomere length by social support level (P = 0·07)

In our base model among the full sample, food insecurity was not significantly associated with TL, adjusting for social support and covariates (Table 2). However, in our stratified model (Table 3), we found significant negative associations between food insecurity and TL among the high social support group (β = –0·099; 95 % CI = –0·16, –0·04), but a non-significant relationship among the low support group (β = –0·001; 95 % CI = –0·03, 0·03). Results from our interacted model showed significant modification by social support on the multiplicative scale (β = –0·076, P = 0·026; Table 3).

Table 2

Food insecurity, high social support and telomere length

Table 3

Effect modification by social support of food insecurity on telomere length

Cross product food insecure × high social support: coefficient = –0·076, P = 0·026.

Results from our sensitivity analysis, where we first stratified our base and interacted models by median age (70 years), were consistent with our main results in terms of direction of the coefficients, but the coefficients on the interactions were significant at the 5 % level only among those under 70 years of age (Appendices 1 & 2). Findings were robust to the inclusion of smoking status as a covariate (results not shown).

Discussion

This is the first study to evaluate whether social support modifies the food insecurity–TL relationship. We used nationally representative data from US to investigate whether social support mitigates the negative association between food insecurity and TL. Food insecurity was significantly associated with shorter telomeres. However, contrary to our hypothesis, we found that food insecurity had a more deleterious association with TL among participants with high social support. Further, food insecurity was not associated with TL among participants with low social support.

In alignment with prior literature, we found an inverse relationship between food security and TL, though results were only significant among the sub-sample reporting high social support, and not among the full sample(Reference Mazidi, Kengne and Vatanparast20,Reference Flannagan, Jansen and Rozek37) . Our results are also consistent with prior literature indicating age and sex are associated with TL(Reference Diez Roux, Ranjit and Jenny35,Reference Ly, Walker and Berry38) . Chronic stress, which can result from discrimination, food insecurity and poverty-related factors, has commonly been shown to have adverse effects on TL, with some evidence that stress from poverty may induce attrition(Reference Martens, Janssen and Bijnens13–Reference Geronimus, Hicken and Pearson15,Reference Needham, Adler and Gregorich31) . A recent study, also using NHANES, demonstrated food insecure individuals had significantly lower TL compared to food secure individuals(Reference Mazidi, Kengne and Vatanparast20). However, in that study, this relationship was only significant among younger participants (ages 25–44 years), whereas our study found a significant relationship among those aged 60–85 years. Another mixed finding study conducted among Mesoamerican parents and children found increasing levels of food insecurity was significantly associated with shorter TL among fathers, but was not among mothers or children(Reference Flannagan, Jansen and Rozek37). Further, maternal food insecurity was not found to be associated with newborn TL in a cohort of California mothers(Reference Izano, Cushing and Lin39). Together, these results indicate food insecurity may be differentially deleterious to TL across the lifespan.

Findings from the effect modification analyses are in contrast to our hypothesis. Similar to prior literature(Reference Mitchell, Kowalsky and Epel10,Reference Stein, Levin and Lahav26,Reference Barger and Cribbet28) , we found participants with high social support have longer TL compared to those with low social support. However, while we found evidence of a modifying effect from social support, the adverse effect of food insecurity was found only among the high social support group. This was an unexpected result given the large body of research indicating the protective effects of social support on health(Reference Taylor and Friedman25,Reference Reblin and Uchino40–Reference Thoits42) . Studies on TL, in particular, have found such protection from social support(Reference Barger and Cribbet28,Reference Hailu, Needham and Lewis43,Reference Carroll, Roux and Fitzpatrick44) . Notably, the Adults in the Making trial, a family-based prevention programme focused on improving family social support and resilience, showed a significant difference in TL attrition over 5 years between trial arm, such that intervention participants did not experience a reduction in TL in contrast to controls(Reference Brody, Yu and Beach45).

Given the evidence of protective effects from social support, along with the cross-sectional design of this study, our finding of more deleterious effects from food insecurity among individuals with high social support suggests social support could reflect endogeneity in the observed relationship. The food insecure population is generally a higher needs population, and increased social support may be reflective of increased needs rather than protective effects. Thus, longitudinal data, where changes in food security, TL and social support could be observed, would better identify the causal direction of this relationship.

Limitations

Limitations of this study should be considered in interpreting the results. First, the study sample is comprised of older individuals (60–85 years old) due to NHANES asking the social support module to only this age group, which presents multiple limitations. Telomeres shorten with age(Reference Starkweather, Alhaeeri and Montpetit3); thus, the older aged sample further obscures potential causal inferences on the relationship between food insecurity, TL and social support. Further, the older age may distort the level of social support compared to the participants’ average lifetime social support, particularly given widowing, which was scored as 0 in the creation of the social support index. Finally, the older age range results in lower generalisability and prevents any investigation across the life course. Given this array of limitations from the older sample, future research should include a more diverse age range to investigate the relationship between food insecurity and TL. Second, the social support measure used an index developed from four NHANES questions, which may not be as comprehensive as validated social support scales, such as the Multidimensional Scale of Perceived Social Support. However, a prior study similarly created a social support index using NHANES data and dichotomised the scale for analysis(Reference Barger and Cribbet28,Reference Laniado, Cloidt and Shah46) . Third, data collection took place 20 years ago, as TL was only measured in those two NHANES cycles. Ideally, there would be more cycles with TL measures to improve sample size and power, particularly given the reduced sample size from NHANES’ age restriction of social support questions. Further, the prevalence of food insecurity and social support have changed over time(47,Reference Capurro and Harper48) . However, we do not believe this would alter the relationship observed between food insecurity and social support. Relatedly, the US Department of Agriculture definition of food security changed from a binary to four-level categorical variable in 2006, but NHANES used this four-level variable in the 1999–2002 cycles and continues to do so(49). Thus, the operationalisation of food security in the present study does not differ from current US Department of Agriculture standards.

Conclusion

We found food insecurity was associated with shorter TL in a nationally representative sample from 1999–2001. There is evidence that social support modifies this relationship, such that food insecurity demonstrated a more adverse relationship with TL among the high social support group as compared to the low. While this finding is in contrast to our hypothesis, this finding suggests higher social support may be an indicator of higher needs and thus higher vulnerability rather than providing protection in this population. These results emphasise the consequences of food insecurity on health. Future research is needed to further examine the relationship between food insecurity and social support on TL, particularly in a younger, working-age sample and with longitudinal data to better identify the causal relationship. TL offers a direct biological connection between food insecurity and long-term health outcomes. As such, initiatives that increase food security, such as the social safety net, should be improved to prevent and abate adverse health outcomes and chronic diseases.

Acknowledgements

The authors thank Gustavo Angeles for guidance on statistical analysis and interpretation.

Financial support

None

Conflict of interest

There are no conflicts of interest

Authorship

S.M.L.: data analysis, statistical interpretation, manuscript preparation and editing; X.R.: study conception, statistical interpretation, manuscript editing; L.M.: study conception, statistical interpretation and manuscript editing; H.M.O-B.: statistical interpretation and manuscript editing; T.P.: study conception, data analysis, statistical interpretation, manuscript preparation and editing

Ethics of human subject participation

Exempt – not human subject research. This study uses secondary, de-identified data.

Supplementary material

For supplementary material accompanying this paper, visit https://doi.org/10.1017/S1368980023002008

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Figure 0

Fig. 1 NHANES sample selection flow chart

Figure 1

Table 1 Demographic descriptive statistics

Figure 2

Fig. 2 Distribution of telomere length by social support level (P = 0·07)

Figure 3

Table 2 Food insecurity, high social support and telomere length

Figure 4

Table 3 Effect modification by social support of food insecurity on telomere length

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