Evidence map›Paper›PMID 39620179›Full record

ArticleJournal of the ASEAN Federation of Endocrine Societies2024

Correlation between Waist Circumference and IGF-1 Levels in an Elderly Population in Bali, Indonesia.

I Made Pande Dwipayana, Wira Gotera, Made Ratna Saraswati, I Made Siswadi Semadi, Ida Bagus Aditya Nugraha, Ketut Suastika, Anak Agung Gede Budhiarta, Padma Amrita, Wahyu Pratama Putra

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Article in Journal of the ASEAN Federation of Endocrine Societies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

I Made Pande DwipayanaDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Wira GoteraDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Made Ratna SaraswatiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
I Made Siswadi SemadiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Ida Bagus Aditya NugrahaDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Ketut SuastikaDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Anak Agung Gede BudhiartaDivision of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Padma AmritaInternal Medicine Study Program, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.
Wahyu Pratama PutraInternal Medicine Study Program, Faculty of Medicine, Udayana University, Prof. dr. I Goesti Ngoerah Gde Ngoerah General Hospital, Denpasar, Bali, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hyperinsulinemia due to insulin resistance is hypothesized to act as a promotor of cancer growth. In addition to the direct effects of hyperinsulinemia on cancer cells, the stimulation of tumor cell growth can also be indirectly mediated through growth factors and receptors such as insulin-like growth factor 1 (IGF-1). Increased cancer risk is also associated with increased adipose tissue, such as in abdominal obesity, due to the higher risk of insulin resistance and hyperinsulinemia. Waist circumference is a parameter that indicates an individual's level of adiposity. In addition, the risk of cancer also increases in the elderly as they age. This study aims to assess the correlation between waist circumference and IGF-1 levels in the elderly population in Bali, Indonesia. Methodology: This study used a cross-sectional analytical design conducted in the Melinggih Village, Gianyar Regency. The study was conducted in September 2023. This study has been approved by the Research Ethics Commission number 2020/UN14.2.2.VII.14/LT/2023. The study population included elderly individuals residing in the Melinggih Village who were willing to participate. Data analysis encompassed descriptive analysis and the Spearman correlation test. Result: A total of 88 subjects participated in the study, consisting of 57 females (64.8%) and 31 males (35.2%). A statistically significant but weak correlation coexists between waist circumference and IGF-1 levels. Conclusion: A weak but statistically significant positive correlation was found between waist circumference and IGF-1 levels in the elderly. However, because of the small sample size, another study with a bigger sample size with enough power to investigate this association needs to be done to validate the results of the current study.

Indexed as

Insulin-Like Growth Factor IObesity, AbdominalWaist CircumferenceAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIndonesiaMaleMiddle AgedIGF1 protein, humanInsulin-Like Growth Factor IelderlyIGF-1waist circumference

Identifiers

PMID39620179
PMCPMC11604360

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.