How Are Unemployed Individuals with Obesity Affected by an Economic Crisis?

Antelo, Manel; Magdalena, Pilar; Reboredo, Juan C.; Reyes-Santías, Francisco

doi:10.3390/su12062262

Cited by 3 publications

(1 citation statement)

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“…Others argue that long-term unemployment is correlated with increased risk of obesity as reported by Hofmeister (21). This finding is in tandem with the study of Antelo et al (23), where authors found out that body mass index of respondents was impacted by long term unemployment or unemployed recently. Evidently, the prevalence of obesity in developed and developing countries, especially urban areas, has increased significantly in recent decades (24).…”

Section: Introductionsupporting

confidence: 87%

Does obesity Kuznets curve exist in developing economies? Evidence from 38 African countries based on heterogeneous panel data analysis on income-level classification

Chen,

Atingabili,

Mensah

et al. 2023

Front. Public Health

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IntroductionThe global pandemic disease known as the obesity epidemic has spread throughout the planet. Particularly, Africa is facing a growing problem of obesity, and the trend is rising. This is a result of a ticking time bomb. Given the claim that multiple socio-economic factors significantly affect the diversity in obesity rates between nations, economic development can be seen as a key contributor to this variation.MethodsRelying on the aforementioned avowal, this extant research examines the relationship between obesity and economic growth using urbanization, trade openness, and unemployment as intermittent variables within the Obesity Kuznets Curve (OKC) framework. Using panel data from 1990 to 2020, a panel of 38 African countries subdivided into income levels (Low income, Lower-middle income, and Upper-middle income) were analyzed. With the presence of residual cross-sectional reliance and slope heterogeneity, the Augmented Mean Group (AMG) econometric approach is employed.ResultsKey outcomes from the mentioned estimation method unveiled that economic growth positively impacts obesity among all the study panels. Variably, unemployment was evidenced to have a palpable positive impact on obesity concerning Low-income economies whereas on the side of the Lower-middle income panel together with Upper-middle income economies and the aggregated panel, a significant negative relationship is observed with obesity. Further, urbanization enhanced obesity in the Low-income panel and the aggregated panel of African nations, whereas an adverse effect is identified in both the Lower-middle and Upper-middle economies in Africa. Moreover, except for Low-income African economies, all the other panels of African nations in terms of income levels were noted to have a significant negative effect on obesity from trade openness.DiscussionFinally, the long-run coefficients indicated that the OKC is valid among all panels of African countries. The study thus preferably suggests in African economies that addressing the inverted U-shape relationship between obesity and economic growth requires a multifaceted approach that considers the evolving dynamics of both factors. Policy makers should, therefore, aim to balance promoting economic growth and safeguarding public health through targeted interventions and long-term strategies.

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Section: Introductionsupporting

confidence: 87%

Does obesity Kuznets curve exist in developing economies? Evidence from 38 African countries based on heterogeneous panel data analysis on income-level classification

Chen,

Atingabili,

Mensah

et al. 2023

Front. Public Health

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Long-Term Parallel Changes of Physical Activity and Body Mass Index in Different Predisposing Risk Trajectories of Obesity

Naseri

Amiri

Mahani

et al. 2022

Journal of Physical Activity and Health

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Background: The long-term parallel changes of physical activity and body mass index (BMI) in the adult population are still unclear. The present study assessed the association between physical activity and BMI over time, considering obesity risk trajectory groups and sex strata. Methods: Total sample of 6897 adults was followed for an average of 12 years. The reliable and validated Iranian version of the Modifiable Activity Questionnaire measured physical activity. After determining the risk clusters in each reexamination using a 2-step cluster analysis, the latent growth curve modeling was used to identify distinct subgroups of individuals following a similar change of risk cluster over time. Latent growth curve modeling estimated the parameters of cross-sectional, prospective, and parallel associations. Results: Three trajectories were identified, including stable low risk, unstable risk, and stable high risk. The results showed significant increases in BMI (kg/m2/year) for the stable low-risk trajectory group 0.478 (95% confidence interval [CI] 0.444 to 0.513), unstable risk 0.360 (95% CI, 0.324 to 0.396), and those in the stable high-risk trajectory group 0.255 (95% CI, 0.221 to 0.289). In cross-sectional −0.483 kg/m2 (95% CI, −0.836 to −0.129) and parallel −0.93 kg/m2 (95% CI, −1.862 to 0.00) estimations, significant statistical associations were observed in the stable high-risk trajectory group. Conclusions: The current results showed that changes in physical activity could slightly affect BMI only in stable high-risk adults.

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Hubungan antara Ketahanan Pangan Rumah Tangga dengan Peningkatan Berat Badan Ibu Hamil

Syafillah,

Renda,

Afifah

2024

MGK

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Latar Belakang: Peningkatan berat badan selama masa kehamilan merupakan salah satu prediktor yang berkaitan dengan outcome kelahiran. Peningkatan berat badan yang melebihi rekomendasi berkaitan dengan status gizi obesitas pasca kehamilan dalam jangka panjang. Peningkatan berat badan yang berlebih dipengaruhi oleh berbagai faktor, salah satunya status ketahanan pangan rumah tangga. Tujuan: Tujuan penelitian ini untuk menganalisis hubungan ketahanan pangan dengan peningkatan berat badan pada ibu hamil Metode: Penelitian ini menggunakan rancangan penelitian dengan desain studi case control terhadap 54 ibu hamil yang dibagi menjadi kelompok kasus (27 responden dengan peningkatan berat badan berlebih) dan kelompok kontrol (27 responden dengan peningkatan berat badan normal). Ibu hamil diwawancarai menggunakan kuesioner umum serta kuesioner Food Insecurity Experience Scale (FIES) untuk mengetahui status ketahanan pangan rumah tangga. Uji chi square dan uji odd ratio dilakukan untuk menilai hubungan variabel independen yaitu ketahanan pangan dengan peningkatan berat badan. Hasil: Hasil menunjukkan salah satu indikator karakteristik individu yaitu Indeks Masa Tubuh (IMT) pra hamil memiliki hubungan dengan peningkatan berat badan (p=0,029; OR = 4,038; 95%CI:1,295-12,585). Salah satu indikator karakteristik sosial ekonomi yaitu status pekerjaan juga memiliki hubungan signifikan dengan peningkatan berat badan (p=0,029; OR = 4,156; 95%CI:1,312-13,169). Status ketahanan pangan ditemukan tidak berhubungan dengan peningkatan berat badan ibu hamil (p=0,743). Kesimpulan: Upaya pencegahan peningkatan berat badan berlebih pada populasi ini bisa fokus pada identifikasi dini yaitu IMT pra-hamil serta faktor risiko lain seperti status pekerjaan. Aspek lain yang diteliti yaitu status ketahanan pangan ditemukan tidak memiliki hubungan dengan peningkatan berat badan ibu hamil.

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How Are Unemployed Individuals with Obesity Affected by an Economic Crisis?

Cited by 3 publications

References 50 publications

Does obesity Kuznets curve exist in developing economies? Evidence from 38 African countries based on heterogeneous panel data analysis on income-level classification

Does obesity Kuznets curve exist in developing economies? Evidence from 38 African countries based on heterogeneous panel data analysis on income-level classification

Long-Term Parallel Changes of Physical Activity and Body Mass Index in Different Predisposing Risk Trajectories of Obesity

Hubungan antara Ketahanan Pangan Rumah Tangga dengan Peningkatan Berat Badan Ibu Hamil

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